2025-08-20,15:59:28 | INFO | Running with a single process. Device cuda.
2025-08-20,15:59:28 | INFO | Loaded ViT-B-16 model config.
2025-08-20,15:59:29 | INFO | Model:
2025-08-20,15:59:29 | INFO | CLIP(
  (visual): VisionTransformer(
    (conv1): Conv2d(3, 768, kernel_size=(16, 16), stride=(16, 16), bias=False)
    (patch_dropout): Identity()
    (ln_pre): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
    (transformer): Transformer(
      (resblocks): ModuleList(
        (0-11): 12 x ResidualAttentionBlock(
          (ln_1): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
          (attn): MultiheadAttention(
            (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True)
          )
          (ls_1): Identity()
          (ln_2): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
          (mlp): Sequential(
            (c_fc): Linear(in_features=768, out_features=3072, bias=True)
            (gelu): GELU(approximate='none')
            (c_proj): Linear(in_features=3072, out_features=768, bias=True)
          )
          (ls_2): Identity()
        )
      )
    )
    (ln_post): LayerNorm((768,), eps=1e-05, elementwise_affine=True)
  )
  (transformer): Transformer(
    (resblocks): ModuleList(
      (0-11): 12 x ResidualAttentionBlock(
        (ln_1): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
        (attn): MultiheadAttention(
          (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True)
        )
        (ls_1): Identity()
        (ln_2): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
        (mlp): Sequential(
          (c_fc): Linear(in_features=512, out_features=2048, bias=True)
          (gelu): GELU(approximate='none')
          (c_proj): Linear(in_features=2048, out_features=512, bias=True)
        )
        (ls_2): Identity()
      )
    )
  )
  (token_embedding): Embedding(49408, 512)
  (ln_final): LayerNorm((512,), eps=1e-05, elementwise_affine=True)
)
2025-08-20,15:59:29 | INFO | Params:
2025-08-20,15:59:29 | INFO |   DTP: False
2025-08-20,15:59:29 | INFO |   accum_freq: 1
2025-08-20,15:59:29 | INFO |   aug_cfg: {}
2025-08-20,15:59:29 | INFO |   batch_size: 512
2025-08-20,15:59:29 | INFO |   beta1: 0.9
2025-08-20,15:59:29 | INFO |   beta2: 0.98
2025-08-20,15:59:29 | INFO |   cache_dir: None
2025-08-20,15:59:29 | INFO |   checkpoint_path: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/2025_08_20-15_59_28-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp/checkpoints
2025-08-20,15:59:29 | INFO |   coca_caption_loss_weight: 2.0
2025-08-20,15:59:29 | INFO |   coca_contrastive_loss_weight: 1.0
2025-08-20,15:59:29 | INFO |   copy_codebase: False
2025-08-20,15:59:29 | INFO |   csv_caption_key: title
2025-08-20,15:59:29 | INFO |   csv_img_key: filepath
2025-08-20,15:59:29 | INFO |   csv_separator: 	
2025-08-20,15:59:29 | INFO |   dataset_resampled: False
2025-08-20,15:59:29 | INFO |   dataset_type: webdataset
2025-08-20,15:59:29 | INFO |   ddp_static_graph: False
2025-08-20,15:59:29 | INFO |   debug: False
2025-08-20,15:59:29 | INFO |   delete_previous_checkpoint: False
2025-08-20,15:59:29 | INFO |   device: cuda
2025-08-20,15:59:29 | INFO |   dist_backend: None
2025-08-20,15:59:29 | INFO |   dist_url: None
2025-08-20,15:59:29 | INFO |   distill: False
2025-08-20,15:59:29 | INFO |   distill_model: None
2025-08-20,15:59:29 | INFO |   distill_pretrained: None
2025-08-20,15:59:29 | INFO |   distributed: False
2025-08-20,15:59:29 | INFO |   epochs: 15
2025-08-20,15:59:29 | INFO |   epochs_cooldown: None
2025-08-20,15:59:29 | INFO |   eps: 1e-06
2025-08-20,15:59:29 | INFO |   force_custom_text: False
2025-08-20,15:59:29 | INFO |   force_image_size: None
2025-08-20,15:59:29 | INFO |   force_patch_dropout: None
2025-08-20,15:59:29 | INFO |   force_quick_gelu: False
2025-08-20,15:59:29 | INFO |   gather_with_grad: False
2025-08-20,15:59:29 | INFO |   grad_checkpointing: False
2025-08-20,15:59:29 | INFO |   grad_clip_norm: None
2025-08-20,15:59:29 | INFO |   horovod: False
2025-08-20,15:59:29 | INFO |   image_interpolation: None
2025-08-20,15:59:29 | INFO |   image_mean: None
2025-08-20,15:59:29 | INFO |   image_resize_mode: None
2025-08-20,15:59:29 | INFO |   image_std: None
2025-08-20,15:59:29 | INFO |   imagenet_v2: None
2025-08-20,15:59:29 | INFO |   imagenet_val: /fs/scratch/PAS2836/yusenpeng_dataset/val
2025-08-20,15:59:29 | INFO |   local_loss: False
2025-08-20,15:59:29 | INFO |   local_rank: 0
2025-08-20,15:59:29 | INFO |   lock_image: False
2025-08-20,15:59:29 | INFO |   lock_image_freeze_bn_stats: False
2025-08-20,15:59:29 | INFO |   lock_image_unlocked_groups: 0
2025-08-20,15:59:29 | INFO |   lock_text: False
2025-08-20,15:59:29 | INFO |   lock_text_freeze_layer_norm: False
2025-08-20,15:59:29 | INFO |   lock_text_unlocked_layers: 0
2025-08-20,15:59:29 | INFO |   log_every_n_steps: 100
2025-08-20,15:59:29 | INFO |   log_level: 20
2025-08-20,15:59:29 | INFO |   log_local: False
2025-08-20,15:59:29 | INFO |   log_path: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/2025_08_20-15_59_28-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp/out.log
2025-08-20,15:59:29 | INFO |   logs: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/
2025-08-20,15:59:29 | INFO |   loss_dist_impl: None
2025-08-20,15:59:29 | INFO |   lr: 5e-05
2025-08-20,15:59:29 | INFO |   lr_cooldown_end: 0.0
2025-08-20,15:59:29 | INFO |   lr_cooldown_power: 1.0
2025-08-20,15:59:29 | INFO |   lr_scheduler: cosine
2025-08-20,15:59:29 | INFO |   model: ViT-B-16
2025-08-20,15:59:29 | INFO |   momentum: None
2025-08-20,15:59:29 | INFO |   name: 2025_08_20-15_59_28-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp
2025-08-20,15:59:29 | INFO |   no_set_device_rank: False
2025-08-20,15:59:29 | INFO |   opt: adamw
2025-08-20,15:59:29 | INFO |   precision: amp
2025-08-20,15:59:29 | INFO |   pretrained: 
2025-08-20,15:59:29 | INFO |   pretrained_image: False
2025-08-20,15:59:29 | INFO |   rank: 0
2025-08-20,15:59:29 | INFO |   remote_sync: None
2025-08-20,15:59:29 | INFO |   remote_sync_frequency: 300
2025-08-20,15:59:29 | INFO |   remote_sync_protocol: s3
2025-08-20,15:59:29 | INFO |   report_to: tensorboard
2025-08-20,15:59:29 | INFO |   resume: None
2025-08-20,15:59:29 | INFO |   save_frequency: 1
2025-08-20,15:59:29 | INFO |   save_most_recent: False
2025-08-20,15:59:29 | INFO |   seed: 0
2025-08-20,15:59:29 | INFO |   siglip: False
2025-08-20,15:59:29 | INFO |   skip_scheduler: False
2025-08-20,15:59:29 | INFO |   tensorboard: True
2025-08-20,15:59:29 | INFO |   tensorboard_path: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/2025_08_20-15_59_28-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp/tensorboard
2025-08-20,15:59:29 | INFO |   torchcompile: False
2025-08-20,15:59:29 | INFO |   torchscript: False
2025-08-20,15:59:29 | INFO |   trace: False
2025-08-20,15:59:29 | INFO |   train_data: /fs/scratch/PAS2836/laion2b-data/00000.tar::/fs/scratch/PAS2836/laion2b-data/00001.tar::/fs/scratch/PAS2836/laion2b-data/00002.tar::/fs/scratch/PAS2836/laion2b-data/00003.tar::/fs/scratch/PAS2836/laion2b-data/00004.tar::/fs/scratch/PAS2836/laion2b-data/00005.tar::/fs/scratch/PAS2836/laion2b-data/00006.tar::/fs/scratch/PAS2836/laion2b-data/00007.tar::/fs/scratch/PAS2836/laion2b-data/00008.tar::/fs/scratch/PAS2836/laion2b-data/00009.tar::/fs/scratch/PAS2836/laion2b-data/00010.tar::/fs/scratch/PAS2836/laion2b-data/00011.tar::/fs/scratch/PAS2836/laion2b-data/00012.tar::/fs/scratch/PAS2836/laion2b-data/00013.tar::/fs/scratch/PAS2836/laion2b-data/00014.tar::/fs/scratch/PAS2836/laion2b-data/00015.tar::/fs/scratch/PAS2836/laion2b-data/00016.tar::/fs/scratch/PAS2836/laion2b-data/00017.tar::/fs/scratch/PAS2836/laion2b-data/00018.tar::/fs/scratch/PAS2836/laion2b-data/00019.tar::/fs/scratch/PAS2836/laion2b-data/00020.tar::/fs/scratch/PAS2836/laion2b-data/00021.tar::/fs/scratch/PAS2836/laion2b-data/00022.tar::/fs/scratch/PAS2836/laion2b-data/00023.tar::/fs/scratch/PAS2836/laion2b-data/00024.tar::/fs/scratch/PAS2836/laion2b-data/00025.tar::/fs/scratch/PAS2836/laion2b-data/00026.tar::/fs/scratch/PAS2836/laion2b-data/00027.tar::/fs/scratch/PAS2836/laion2b-data/00028.tar::/fs/scratch/PAS2836/laion2b-data/00029.tar::/fs/scratch/PAS2836/laion2b-data/00030.tar::/fs/scratch/PAS2836/laion2b-data/00031.tar::/fs/scratch/PAS2836/laion2b-data/00032.tar::/fs/scratch/PAS2836/laion2b-data/00033.tar::/fs/scratch/PAS2836/laion2b-data/00034.tar::/fs/scratch/PAS2836/laion2b-data/00035.tar::/fs/scratch/PAS2836/laion2b-data/00036.tar::/fs/scratch/PAS2836/laion2b-data/00037.tar::/fs/scratch/PAS2836/laion2b-data/00038.tar::/fs/scratch/PAS2836/laion2b-data/00039.tar::/fs/scratch/PAS2836/laion2b-data/00040.tar::/fs/scratch/PAS2836/laion2b-data/00041.tar::/fs/scratch/PAS2836/laion2b-data/00042.tar::/fs/scratch/PAS2836/laion2b-data/00043.tar::/fs/scratch/PAS2836/laion2b-data/00044.tar::/fs/scratch/PAS2836/laion2b-data/00045.tar::/fs/scratch/PAS2836/laion2b-data/00046.tar::/fs/scratch/PAS2836/laion2b-data/00047.tar::/fs/scratch/PAS2836/laion2b-data/00048.tar::/fs/scratch/PAS2836/laion2b-data/00049.tar::/fs/scratch/PAS2836/laion2b-data/00050.tar::/fs/scratch/PAS2836/laion2b-data/00051.tar::/fs/scratch/PAS2836/laion2b-data/00052.tar::/fs/scratch/PAS2836/laion2b-data/00053.tar::/fs/scratch/PAS2836/laion2b-data/00054.tar::/fs/scratch/PAS2836/laion2b-data/00055.tar::/fs/scratch/PAS2836/laion2b-data/00056.tar::/fs/scratch/PAS2836/laion2b-data/00057.tar::/fs/scratch/PAS2836/laion2b-data/00058.tar::/fs/scratch/PAS2836/laion2b-data/00059.tar::/fs/scratch/PAS2836/laion2b-data/00060.tar::/fs/scratch/PAS2836/laion2b-data/00061.tar::/fs/scratch/PAS2836/laion2b-data/00062.tar::/fs/scratch/PAS2836/laion2b-data/00063.tar::/fs/scratch/PAS2836/laion2b-data/00064.tar::/fs/scratch/PAS2836/laion2b-data/00065.tar::/fs/scratch/PAS2836/laion2b-data/00066.tar::/fs/scratch/PAS2836/laion2b-data/00067.tar::/fs/scratch/PAS2836/laion2b-data/00068.tar::/fs/scratch/PAS2836/laion2b-data/00069.tar::/fs/scratch/PAS2836/laion2b-data/00070.tar::/fs/scratch/PAS2836/laion2b-data/00071.tar::/fs/scratch/PAS2836/laion2b-data/00072.tar::/fs/scratch/PAS2836/laion2b-data/00073.tar::/fs/scratch/PAS2836/laion2b-data/00074.tar::/fs/scratch/PAS2836/laion2b-data/00075.tar::/fs/scratch/PAS2836/laion2b-data/00076.tar::/fs/scratch/PAS2836/laion2b-data/00077.tar::/fs/scratch/PAS2836/laion2b-data/00078.tar::/fs/scratch/PAS2836/laion2b-data/00079.tar::/fs/scratch/PAS2836/laion2b-data/00080.tar::/fs/scratch/PAS2836/laion2b-data/00081.tar::/fs/scratch/PAS2836/laion2b-data/00082.tar::/fs/scratch/PAS2836/laion2b-data/00083.tar::/fs/scratch/PAS2836/laion2b-data/00084.tar::/fs/scratch/PAS2836/laion2b-data/00085.tar::/fs/scratch/PAS2836/laion2b-data/00086.tar::/fs/scratch/PAS2836/laion2b-data/00087.tar::/fs/scratch/PAS2836/laion2b-data/00088.tar::/fs/scratch/PAS2836/laion2b-data/00089.tar::/fs/scratch/PAS2836/laion2b-data/00090.tar::/fs/scratch/PAS2836/laion2b-data/00091.tar::/fs/scratch/PAS2836/laion2b-data/00092.tar::/fs/scratch/PAS2836/laion2b-data/00093.tar::/fs/scratch/PAS2836/laion2b-data/00094.tar::/fs/scratch/PAS2836/laion2b-data/00095.tar::/fs/scratch/PAS2836/laion2b-data/00096.tar::/fs/scratch/PAS2836/laion2b-data/00097.tar::/fs/scratch/PAS2836/laion2b-data/00098.tar::/fs/scratch/PAS2836/laion2b-data/00099.tar::/fs/scratch/PAS2836/laion2b-data/00100.tar::/fs/scratch/PAS2836/laion2b-data/00101.tar::/fs/scratch/PAS2836/laion2b-data/00102.tar::/fs/scratch/PAS2836/laion2b-data/00103.tar::/fs/scratch/PAS2836/laion2b-data/00104.tar::/fs/scratch/PAS2836/laion2b-data/00105.tar::/fs/scratch/PAS2836/laion2b-data/00106.tar::/fs/scratch/PAS2836/laion2b-data/00107.tar::/fs/scratch/PAS2836/laion2b-data/00108.tar::/fs/scratch/PAS2836/laion2b-data/00109.tar::/fs/scratch/PAS2836/laion2b-data/00110.tar::/fs/scratch/PAS2836/laion2b-data/00111.tar::/fs/scratch/PAS2836/laion2b-data/00112.tar::/fs/scratch/PAS2836/laion2b-data/00113.tar::/fs/scratch/PAS2836/laion2b-data/00114.tar::/fs/scratch/PAS2836/laion2b-data/00115.tar::/fs/scratch/PAS2836/laion2b-data/00116.tar::/fs/scratch/PAS2836/laion2b-data/00117.tar::/fs/scratch/PAS2836/laion2b-data/00118.tar::/fs/scratch/PAS2836/laion2b-data/00119.tar::/fs/scratch/PAS2836/laion2b-data/00120.tar::/fs/scratch/PAS2836/laion2b-data/00121.tar::/fs/scratch/PAS2836/laion2b-data/00122.tar::/fs/scratch/PAS2836/laion2b-data/00123.tar::/fs/scratch/PAS2836/laion2b-data/00124.tar::/fs/scratch/PAS2836/laion2b-data/00125.tar::/fs/scratch/PAS2836/laion2b-data/00126.tar::/fs/scratch/PAS2836/laion2b-data/00127.tar::/fs/scratch/PAS2836/laion2b-data/00128.tar::/fs/scratch/PAS2836/laion2b-data/00129.tar::/fs/scratch/PAS2836/laion2b-data/00130.tar::/fs/scratch/PAS2836/laion2b-data/00131.tar::/fs/scratch/PAS2836/laion2b-data/00132.tar::/fs/scratch/PAS2836/laion2b-data/00133.tar::/fs/scratch/PAS2836/laion2b-data/00134.tar::/fs/scratch/PAS2836/laion2b-data/00135.tar::/fs/scratch/PAS2836/laion2b-data/00136.tar::/fs/scratch/PAS2836/laion2b-data/00137.tar::/fs/scratch/PAS2836/laion2b-data/00138.tar::/fs/scratch/PAS2836/laion2b-data/00139.tar::/fs/scratch/PAS2836/laion2b-data/00140.tar::/fs/scratch/PAS2836/laion2b-data/00141.tar::/fs/scratch/PAS2836/laion2b-data/00142.tar::/fs/scratch/PAS2836/laion2b-data/00143.tar::/fs/scratch/PAS2836/laion2b-data/00144.tar::/fs/scratch/PAS2836/laion2b-data/00145.tar::/fs/scratch/PAS2836/laion2b-data/00146.tar::/fs/scratch/PAS2836/laion2b-data/00147.tar::/fs/scratch/PAS2836/laion2b-data/00148.tar::/fs/scratch/PAS2836/laion2b-data/00149.tar::/fs/scratch/PAS2836/laion2b-data/00150.tar::/fs/scratch/PAS2836/laion2b-data/00151.tar::/fs/scratch/PAS2836/laion2b-data/00152.tar::/fs/scratch/PAS2836/laion2b-data/00153.tar::/fs/scratch/PAS2836/laion2b-data/00154.tar::/fs/scratch/PAS2836/laion2b-data/00155.tar::/fs/scratch/PAS2836/laion2b-data/00156.tar::/fs/scratch/PAS2836/laion2b-data/00157.tar::/fs/scratch/PAS2836/laion2b-data/00158.tar::/fs/scratch/PAS2836/laion2b-data/00159.tar::/fs/scratch/PAS2836/laion2b-data/00160.tar::/fs/scratch/PAS2836/laion2b-data/00161.tar::/fs/scratch/PAS2836/laion2b-data/00162.tar::/fs/scratch/PAS2836/laion2b-data/00163.tar::/fs/scratch/PAS2836/laion2b-data/00164.tar::/fs/scratch/PAS2836/laion2b-data/00165.tar::/fs/scratch/PAS2836/laion2b-data/00166.tar::/fs/scratch/PAS2836/laion2b-data/00167.tar::/fs/scratch/PAS2836/laion2b-data/00168.tar::/fs/scratch/PAS2836/laion2b-data/00169.tar::/fs/scratch/PAS2836/laion2b-data/00170.tar::/fs/scratch/PAS2836/laion2b-data/00171.tar::/fs/scratch/PAS2836/laion2b-data/00172.tar::/fs/scratch/PAS2836/laion2b-data/00173.tar::/fs/scratch/PAS2836/laion2b-data/00174.tar::/fs/scratch/PAS2836/laion2b-data/00175.tar::/fs/scratch/PAS2836/laion2b-data/00176.tar::/fs/scratch/PAS2836/laion2b-data/00177.tar::/fs/scratch/PAS2836/laion2b-data/00178.tar::/fs/scratch/PAS2836/laion2b-data/00179.tar::/fs/scratch/PAS2836/laion2b-data/00180.tar::/fs/scratch/PAS2836/laion2b-data/00181.tar::/fs/scratch/PAS2836/laion2b-data/00182.tar::/fs/scratch/PAS2836/laion2b-data/00183.tar::/fs/scratch/PAS2836/laion2b-data/00184.tar::/fs/scratch/PAS2836/laion2b-data/00185.tar::/fs/scratch/PAS2836/laion2b-data/00186.tar::/fs/scratch/PAS2836/laion2b-data/00187.tar::/fs/scratch/PAS2836/laion2b-data/00188.tar::/fs/scratch/PAS2836/laion2b-data/00189.tar::/fs/scratch/PAS2836/laion2b-data/00190.tar::/fs/scratch/PAS2836/laion2b-data/00191.tar::/fs/scratch/PAS2836/laion2b-data/00192.tar::/fs/scratch/PAS2836/laion2b-data/00193.tar::/fs/scratch/PAS2836/laion2b-data/00194.tar::/fs/scratch/PAS2836/laion2b-data/00195.tar::/fs/scratch/PAS2836/laion2b-data/00196.tar::/fs/scratch/PAS2836/laion2b-data/00197.tar::/fs/scratch/PAS2836/laion2b-data/00198.tar::/fs/scratch/PAS2836/laion2b-data/00199.tar::/fs/scratch/PAS2836/laion2b-data/00200.tar::/fs/scratch/PAS2836/laion2b-data/00201.tar::/fs/scratch/PAS2836/laion2b-data/00202.tar::/fs/scratch/PAS2836/laion2b-data/00203.tar::/fs/scratch/PAS2836/laion2b-data/00204.tar::/fs/scratch/PAS2836/laion2b-data/00205.tar::/fs/scratch/PAS2836/laion2b-data/00206.tar::/fs/scratch/PAS2836/laion2b-data/00207.tar::/fs/scratch/PAS2836/laion2b-data/00208.tar::/fs/scratch/PAS2836/laion2b-data/00209.tar::/fs/scratch/PAS2836/laion2b-data/00210.tar::/fs/scratch/PAS2836/laion2b-data/00211.tar::/fs/scratch/PAS2836/laion2b-data/00212.tar::/fs/scratch/PAS2836/laion2b-data/00213.tar::/fs/scratch/PAS2836/laion2b-data/00214.tar::/fs/scratch/PAS2836/laion2b-data/00215.tar::/fs/scratch/PAS2836/laion2b-data/00216.tar::/fs/scratch/PAS2836/laion2b-data/00217.tar::/fs/scratch/PAS2836/laion2b-data/00218.tar::/fs/scratch/PAS2836/laion2b-data/00219.tar::/fs/scratch/PAS2836/laion2b-data/00220.tar::/fs/scratch/PAS2836/laion2b-data/00221.tar::/fs/scratch/PAS2836/laion2b-data/00222.tar::/fs/scratch/PAS2836/laion2b-data/00223.tar::/fs/scratch/PAS2836/laion2b-data/00224.tar::/fs/scratch/PAS2836/laion2b-data/00225.tar::/fs/scratch/PAS2836/laion2b-data/00226.tar::/fs/scratch/PAS2836/laion2b-data/00227.tar::/fs/scratch/PAS2836/laion2b-data/00228.tar::/fs/scratch/PAS2836/laion2b-data/00229.tar::/fs/scratch/PAS2836/laion2b-data/00230.tar::/fs/scratch/PAS2836/laion2b-data/00231.tar::/fs/scratch/PAS2836/laion2b-data/00232.tar::/fs/scratch/PAS2836/laion2b-data/00233.tar::/fs/scratch/PAS2836/laion2b-data/00234.tar::/fs/scratch/PAS2836/laion2b-data/00235.tar::/fs/scratch/PAS2836/laion2b-data/00236.tar::/fs/scratch/PAS2836/laion2b-data/00237.tar::/fs/scratch/PAS2836/laion2b-data/00238.tar::/fs/scratch/PAS2836/laion2b-data/00239.tar::/fs/scratch/PAS2836/laion2b-data/00240.tar::/fs/scratch/PAS2836/laion2b-data/00241.tar::/fs/scratch/PAS2836/laion2b-data/00242.tar::/fs/scratch/PAS2836/laion2b-data/00243.tar::/fs/scratch/PAS2836/laion2b-data/00244.tar::/fs/scratch/PAS2836/laion2b-data/00245.tar::/fs/scratch/PAS2836/laion2b-data/00246.tar::/fs/scratch/PAS2836/laion2b-data/00247.tar::/fs/scratch/PAS2836/laion2b-data/00248.tar::/fs/scratch/PAS2836/laion2b-data/00249.tar::/fs/scratch/PAS2836/laion2b-data/00250.tar::/fs/scratch/PAS2836/laion2b-data/00251.tar::/fs/scratch/PAS2836/laion2b-data/00252.tar::/fs/scratch/PAS2836/laion2b-data/00253.tar::/fs/scratch/PAS2836/laion2b-data/00254.tar::/fs/scratch/PAS2836/laion2b-data/00255.tar::/fs/scratch/PAS2836/laion2b-data/00256.tar::/fs/scratch/PAS2836/laion2b-data/00257.tar::/fs/scratch/PAS2836/laion2b-data/00258.tar::/fs/scratch/PAS2836/laion2b-data/00259.tar::/fs/scratch/PAS2836/laion2b-data/00260.tar::/fs/scratch/PAS2836/laion2b-data/00261.tar::/fs/scratch/PAS2836/laion2b-data/00262.tar::/fs/scratch/PAS2836/laion2b-data/00263.tar::/fs/scratch/PAS2836/laion2b-data/00264.tar::/fs/scratch/PAS2836/laion2b-data/00265.tar::/fs/scratch/PAS2836/laion2b-data/00266.tar::/fs/scratch/PAS2836/laion2b-data/00267.tar::/fs/scratch/PAS2836/laion2b-data/00268.tar::/fs/scratch/PAS2836/laion2b-data/00269.tar::/fs/scratch/PAS2836/laion2b-data/00270.tar::/fs/scratch/PAS2836/laion2b-data/00271.tar::/fs/scratch/PAS2836/laion2b-data/00272.tar::/fs/scratch/PAS2836/laion2b-data/00273.tar::/fs/scratch/PAS2836/laion2b-data/00274.tar::/fs/scratch/PAS2836/laion2b-data/00275.tar::/fs/scratch/PAS2836/laion2b-data/00276.tar::/fs/scratch/PAS2836/laion2b-data/00277.tar::/fs/scratch/PAS2836/laion2b-data/00278.tar::/fs/scratch/PAS2836/laion2b-data/00279.tar::/fs/scratch/PAS2836/laion2b-data/00280.tar::/fs/scratch/PAS2836/laion2b-data/00281.tar::/fs/scratch/PAS2836/laion2b-data/00282.tar::/fs/scratch/PAS2836/laion2b-data/00283.tar::/fs/scratch/PAS2836/laion2b-data/00284.tar::/fs/scratch/PAS2836/laion2b-data/00285.tar::/fs/scratch/PAS2836/laion2b-data/00286.tar::/fs/scratch/PAS2836/laion2b-data/00287.tar::/fs/scratch/PAS2836/laion2b-data/00288.tar::/fs/scratch/PAS2836/laion2b-data/00289.tar::/fs/scratch/PAS2836/laion2b-data/00290.tar::/fs/scratch/PAS2836/laion2b-data/00291.tar::/fs/scratch/PAS2836/laion2b-data/00292.tar::/fs/scratch/PAS2836/laion2b-data/00293.tar::/fs/scratch/PAS2836/laion2b-data/00294.tar::/fs/scratch/PAS2836/laion2b-data/00295.tar::/fs/scratch/PAS2836/laion2b-data/00296.tar::/fs/scratch/PAS2836/laion2b-data/00297.tar::/fs/scratch/PAS2836/laion2b-data/00298.tar::/fs/scratch/PAS2836/laion2b-data/00299.tar::/fs/scratch/PAS2836/laion2b-data/00300.tar::/fs/scratch/PAS2836/laion2b-data/00301.tar::/fs/scratch/PAS2836/laion2b-data/00302.tar::/fs/scratch/PAS2836/laion2b-data/00303.tar::/fs/scratch/PAS2836/laion2b-data/00304.tar::/fs/scratch/PAS2836/laion2b-data/00305.tar::/fs/scratch/PAS2836/laion2b-data/00306.tar::/fs/scratch/PAS2836/laion2b-data/00307.tar::/fs/scratch/PAS2836/laion2b-data/00308.tar::/fs/scratch/PAS2836/laion2b-data/00309.tar::/fs/scratch/PAS2836/laion2b-data/00310.tar::/fs/scratch/PAS2836/laion2b-data/00311.tar::/fs/scratch/PAS2836/laion2b-data/00312.tar::/fs/scratch/PAS2836/laion2b-data/00313.tar::/fs/scratch/PAS2836/laion2b-data/00314.tar::/fs/scratch/PAS2836/laion2b-data/00315.tar::/fs/scratch/PAS2836/laion2b-data/00316.tar::/fs/scratch/PAS2836/laion2b-data/00317.tar::/fs/scratch/PAS2836/laion2b-data/00318.tar::/fs/scratch/PAS2836/laion2b-data/00319.tar::/fs/scratch/PAS2836/laion2b-data/00320.tar::/fs/scratch/PAS2836/laion2b-data/00321.tar::/fs/scratch/PAS2836/laion2b-data/00322.tar::/fs/scratch/PAS2836/laion2b-data/00323.tar::/fs/scratch/PAS2836/laion2b-data/00324.tar::/fs/scratch/PAS2836/laion2b-data/00325.tar::/fs/scratch/PAS2836/laion2b-data/00326.tar::/fs/scratch/PAS2836/laion2b-data/00327.tar::/fs/scratch/PAS2836/laion2b-data/00328.tar::/fs/scratch/PAS2836/laion2b-data/00329.tar::/fs/scratch/PAS2836/laion2b-data/00330.tar::/fs/scratch/PAS2836/laion2b-data/00331.tar::/fs/scratch/PAS2836/laion2b-data/00332.tar::/fs/scratch/PAS2836/laion2b-data/00333.tar::/fs/scratch/PAS2836/laion2b-data/00334.tar::/fs/scratch/PAS2836/laion2b-data/00335.tar::/fs/scratch/PAS2836/laion2b-data/00336.tar::/fs/scratch/PAS2836/laion2b-data/00337.tar::/fs/scratch/PAS2836/laion2b-data/00338.tar::/fs/scratch/PAS2836/laion2b-data/00339.tar::/fs/scratch/PAS2836/laion2b-data/00340.tar::/fs/scratch/PAS2836/laion2b-data/00341.tar::/fs/scratch/PAS2836/laion2b-data/00342.tar::/fs/scratch/PAS2836/laion2b-data/00343.tar::/fs/scratch/PAS2836/laion2b-data/00344.tar::/fs/scratch/PAS2836/laion2b-data/00345.tar::/fs/scratch/PAS2836/laion2b-data/00346.tar::/fs/scratch/PAS2836/laion2b-data/00347.tar::/fs/scratch/PAS2836/laion2b-data/00348.tar::/fs/scratch/PAS2836/laion2b-data/00349.tar::/fs/scratch/PAS2836/laion2b-data/00350.tar::/fs/scratch/PAS2836/laion2b-data/00351.tar::/fs/scratch/PAS2836/laion2b-data/00352.tar::/fs/scratch/PAS2836/laion2b-data/00353.tar::/fs/scratch/PAS2836/laion2b-data/00354.tar::/fs/scratch/PAS2836/laion2b-data/00355.tar::/fs/scratch/PAS2836/laion2b-data/00356.tar::/fs/scratch/PAS2836/laion2b-data/00357.tar::/fs/scratch/PAS2836/laion2b-data/00358.tar::/fs/scratch/PAS2836/laion2b-data/00359.tar::/fs/scratch/PAS2836/laion2b-data/00360.tar::/fs/scratch/PAS2836/laion2b-data/00361.tar::/fs/scratch/PAS2836/laion2b-data/00362.tar::/fs/scratch/PAS2836/laion2b-data/00363.tar::/fs/scratch/PAS2836/laion2b-data/00364.tar::/fs/scratch/PAS2836/laion2b-data/00365.tar::/fs/scratch/PAS2836/laion2b-data/00366.tar::/fs/scratch/PAS2836/laion2b-data/00367.tar::/fs/scratch/PAS2836/laion2b-data/00368.tar::/fs/scratch/PAS2836/laion2b-data/00369.tar::/fs/scratch/PAS2836/laion2b-data/00370.tar::/fs/scratch/PAS2836/laion2b-data/00371.tar::/fs/scratch/PAS2836/laion2b-data/00372.tar::/fs/scratch/PAS2836/laion2b-data/00373.tar::/fs/scratch/PAS2836/laion2b-data/00374.tar::/fs/scratch/PAS2836/laion2b-data/00375.tar::/fs/scratch/PAS2836/laion2b-data/00376.tar::/fs/scratch/PAS2836/laion2b-data/00377.tar::/fs/scratch/PAS2836/laion2b-data/00378.tar::/fs/scratch/PAS2836/laion2b-data/00379.tar::/fs/scratch/PAS2836/laion2b-data/00380.tar::/fs/scratch/PAS2836/laion2b-data/00381.tar::/fs/scratch/PAS2836/laion2b-data/00382.tar::/fs/scratch/PAS2836/laion2b-data/00383.tar::/fs/scratch/PAS2836/laion2b-data/00384.tar::/fs/scratch/PAS2836/laion2b-data/00385.tar::/fs/scratch/PAS2836/laion2b-data/00386.tar::/fs/scratch/PAS2836/laion2b-data/00387.tar::/fs/scratch/PAS2836/laion2b-data/00388.tar::/fs/scratch/PAS2836/laion2b-data/00389.tar::/fs/scratch/PAS2836/laion2b-data/00390.tar::/fs/scratch/PAS2836/laion2b-data/00391.tar::/fs/scratch/PAS2836/laion2b-data/00392.tar::/fs/scratch/PAS2836/laion2b-data/00393.tar::/fs/scratch/PAS2836/laion2b-data/00394.tar::/fs/scratch/PAS2836/laion2b-data/00395.tar::/fs/scratch/PAS2836/laion2b-data/00396.tar::/fs/scratch/PAS2836/laion2b-data/00397.tar::/fs/scratch/PAS2836/laion2b-data/00398.tar::/fs/scratch/PAS2836/laion2b-data/00399.tar::/fs/scratch/PAS2836/laion2b-data/00400.tar::/fs/scratch/PAS2836/laion2b-data/00401.tar::/fs/scratch/PAS2836/laion2b-data/00402.tar::/fs/scratch/PAS2836/laion2b-data/00403.tar::/fs/scratch/PAS2836/laion2b-data/00404.tar::/fs/scratch/PAS2836/laion2b-data/00405.tar::/fs/scratch/PAS2836/laion2b-data/00406.tar::/fs/scratch/PAS2836/laion2b-data/00407.tar::/fs/scratch/PAS2836/laion2b-data/00408.tar::/fs/scratch/PAS2836/laion2b-data/00409.tar::/fs/scratch/PAS2836/laion2b-data/00410.tar::/fs/scratch/PAS2836/laion2b-data/00411.tar::/fs/scratch/PAS2836/laion2b-data/00412.tar::/fs/scratch/PAS2836/laion2b-data/00413.tar::/fs/scratch/PAS2836/laion2b-data/00414.tar::/fs/scratch/PAS2836/laion2b-data/00415.tar::/fs/scratch/PAS2836/laion2b-data/00416.tar::/fs/scratch/PAS2836/laion2b-data/00417.tar::/fs/scratch/PAS2836/laion2b-data/00418.tar::/fs/scratch/PAS2836/laion2b-data/00419.tar::/fs/scratch/PAS2836/laion2b-data/00420.tar::/fs/scratch/PAS2836/laion2b-data/00421.tar::/fs/scratch/PAS2836/laion2b-data/00422.tar::/fs/scratch/PAS2836/laion2b-data/00423.tar::/fs/scratch/PAS2836/laion2b-data/00424.tar::/fs/scratch/PAS2836/laion2b-data/00425.tar::/fs/scratch/PAS2836/laion2b-data/00426.tar::/fs/scratch/PAS2836/laion2b-data/00427.tar::/fs/scratch/PAS2836/laion2b-data/00428.tar::/fs/scratch/PAS2836/laion2b-data/00429.tar::/fs/scratch/PAS2836/laion2b-data/00430.tar::/fs/scratch/PAS2836/laion2b-data/00431.tar::/fs/scratch/PAS2836/laion2b-data/00432.tar::/fs/scratch/PAS2836/laion2b-data/00433.tar::/fs/scratch/PAS2836/laion2b-data/00434.tar::/fs/scratch/PAS2836/laion2b-data/00435.tar::/fs/scratch/PAS2836/laion2b-data/00436.tar::/fs/scratch/PAS2836/laion2b-data/00437.tar::/fs/scratch/PAS2836/laion2b-data/00438.tar::/fs/scratch/PAS2836/laion2b-data/00439.tar::/fs/scratch/PAS2836/laion2b-data/00440.tar::/fs/scratch/PAS2836/laion2b-data/00441.tar::/fs/scratch/PAS2836/laion2b-data/00442.tar::/fs/scratch/PAS2836/laion2b-data/00443.tar::/fs/scratch/PAS2836/laion2b-data/00444.tar::/fs/scratch/PAS2836/laion2b-data/00445.tar::/fs/scratch/PAS2836/laion2b-data/00446.tar::/fs/scratch/PAS2836/laion2b-data/00447.tar::/fs/scratch/PAS2836/laion2b-data/00448.tar::/fs/scratch/PAS2836/laion2b-data/00449.tar::/fs/scratch/PAS2836/laion2b-data/00450.tar::/fs/scratch/PAS2836/laion2b-data/00451.tar::/fs/scratch/PAS2836/laion2b-data/00452.tar::/fs/scratch/PAS2836/laion2b-data/00453.tar::/fs/scratch/PAS2836/laion2b-data/00454.tar::/fs/scratch/PAS2836/laion2b-data/00455.tar::/fs/scratch/PAS2836/laion2b-data/00456.tar::/fs/scratch/PAS2836/laion2b-data/00457.tar::/fs/scratch/PAS2836/laion2b-data/00458.tar::/fs/scratch/PAS2836/laion2b-data/00459.tar::/fs/scratch/PAS2836/laion2b-data/00460.tar::/fs/scratch/PAS2836/laion2b-data/00461.tar::/fs/scratch/PAS2836/laion2b-data/00462.tar::/fs/scratch/PAS2836/laion2b-data/00463.tar::/fs/scratch/PAS2836/laion2b-data/00464.tar::/fs/scratch/PAS2836/laion2b-data/00465.tar::/fs/scratch/PAS2836/laion2b-data/00466.tar::/fs/scratch/PAS2836/laion2b-data/00467.tar::/fs/scratch/PAS2836/laion2b-data/00468.tar::/fs/scratch/PAS2836/laion2b-data/00469.tar::/fs/scratch/PAS2836/laion2b-data/00470.tar::/fs/scratch/PAS2836/laion2b-data/00471.tar::/fs/scratch/PAS2836/laion2b-data/00472.tar::/fs/scratch/PAS2836/laion2b-data/00473.tar::/fs/scratch/PAS2836/laion2b-data/00474.tar::/fs/scratch/PAS2836/laion2b-data/00475.tar::/fs/scratch/PAS2836/laion2b-data/00476.tar::/fs/scratch/PAS2836/laion2b-data/00477.tar::/fs/scratch/PAS2836/laion2b-data/00478.tar::/fs/scratch/PAS2836/laion2b-data/00479.tar::/fs/scratch/PAS2836/laion2b-data/00480.tar::/fs/scratch/PAS2836/laion2b-data/00481.tar::/fs/scratch/PAS2836/laion2b-data/00482.tar::/fs/scratch/PAS2836/laion2b-data/00483.tar::/fs/scratch/PAS2836/laion2b-data/00484.tar::/fs/scratch/PAS2836/laion2b-data/00485.tar::/fs/scratch/PAS2836/laion2b-data/00486.tar::/fs/scratch/PAS2836/laion2b-data/00487.tar::/fs/scratch/PAS2836/laion2b-data/00488.tar::/fs/scratch/PAS2836/laion2b-data/00489.tar::/fs/scratch/PAS2836/laion2b-data/00490.tar::/fs/scratch/PAS2836/laion2b-data/00491.tar::/fs/scratch/PAS2836/laion2b-data/00492.tar::/fs/scratch/PAS2836/laion2b-data/00493.tar::/fs/scratch/PAS2836/laion2b-data/00494.tar::/fs/scratch/PAS2836/laion2b-data/00495.tar::/fs/scratch/PAS2836/laion2b-data/00496.tar::/fs/scratch/PAS2836/laion2b-data/00497.tar::/fs/scratch/PAS2836/laion2b-data/00498.tar::/fs/scratch/PAS2836/laion2b-data/00499.tar::/fs/scratch/PAS2836/laion2b-data/00500.tar::/fs/scratch/PAS2836/laion2b-data/00501.tar::/fs/scratch/PAS2836/laion2b-data/00502.tar::/fs/scratch/PAS2836/laion2b-data/00503.tar::/fs/scratch/PAS2836/laion2b-data/00504.tar::/fs/scratch/PAS2836/laion2b-data/00505.tar::/fs/scratch/PAS2836/laion2b-data/00506.tar::/fs/scratch/PAS2836/laion2b-data/00507.tar::/fs/scratch/PAS2836/laion2b-data/00508.tar::/fs/scratch/PAS2836/laion2b-data/00509.tar::/fs/scratch/PAS2836/laion2b-data/00510.tar::/fs/scratch/PAS2836/laion2b-data/00511.tar::/fs/scratch/PAS2836/laion2b-data/00512.tar::/fs/scratch/PAS2836/laion2b-data/00513.tar::/fs/scratch/PAS2836/laion2b-data/00514.tar::/fs/scratch/PAS2836/laion2b-data/00515.tar::/fs/scratch/PAS2836/laion2b-data/00516.tar::/fs/scratch/PAS2836/laion2b-data/00517.tar::/fs/scratch/PAS2836/laion2b-data/00518.tar::/fs/scratch/PAS2836/laion2b-data/00519.tar::/fs/scratch/PAS2836/laion2b-data/00520.tar::/fs/scratch/PAS2836/laion2b-data/00521.tar::/fs/scratch/PAS2836/laion2b-data/00522.tar::/fs/scratch/PAS2836/laion2b-data/00523.tar::/fs/scratch/PAS2836/laion2b-data/00524.tar::/fs/scratch/PAS2836/laion2b-data/00525.tar::/fs/scratch/PAS2836/laion2b-data/00526.tar::/fs/scratch/PAS2836/laion2b-data/00527.tar::/fs/scratch/PAS2836/laion2b-data/00528.tar::/fs/scratch/PAS2836/laion2b-data/00529.tar::/fs/scratch/PAS2836/laion2b-data/00530.tar::/fs/scratch/PAS2836/laion2b-data/00531.tar::/fs/scratch/PAS2836/laion2b-data/00532.tar::/fs/scratch/PAS2836/laion2b-data/00533.tar::/fs/scratch/PAS2836/laion2b-data/00534.tar::/fs/scratch/PAS2836/laion2b-data/00535.tar::/fs/scratch/PAS2836/laion2b-data/00536.tar::/fs/scratch/PAS2836/laion2b-data/00537.tar::/fs/scratch/PAS2836/laion2b-data/00538.tar::/fs/scratch/PAS2836/laion2b-data/00539.tar::/fs/scratch/PAS2836/laion2b-data/00540.tar::/fs/scratch/PAS2836/laion2b-data/00541.tar::/fs/scratch/PAS2836/laion2b-data/00542.tar::/fs/scratch/PAS2836/laion2b-data/00543.tar::/fs/scratch/PAS2836/laion2b-data/00544.tar::/fs/scratch/PAS2836/laion2b-data/00545.tar::/fs/scratch/PAS2836/laion2b-data/00546.tar::/fs/scratch/PAS2836/laion2b-data/00547.tar::/fs/scratch/PAS2836/laion2b-data/00548.tar::/fs/scratch/PAS2836/laion2b-data/00549.tar::/fs/scratch/PAS2836/laion2b-data/00550.tar::/fs/scratch/PAS2836/laion2b-data/00551.tar::/fs/scratch/PAS2836/laion2b-data/00552.tar::/fs/scratch/PAS2836/laion2b-data/00553.tar::/fs/scratch/PAS2836/laion2b-data/00554.tar::/fs/scratch/PAS2836/laion2b-data/00555.tar::/fs/scratch/PAS2836/laion2b-data/00556.tar::/fs/scratch/PAS2836/laion2b-data/00557.tar::/fs/scratch/PAS2836/laion2b-data/00558.tar::/fs/scratch/PAS2836/laion2b-data/00559.tar::/fs/scratch/PAS2836/laion2b-data/00560.tar::/fs/scratch/PAS2836/laion2b-data/00561.tar::/fs/scratch/PAS2836/laion2b-data/00562.tar::/fs/scratch/PAS2836/laion2b-data/00563.tar::/fs/scratch/PAS2836/laion2b-data/00564.tar::/fs/scratch/PAS2836/laion2b-data/00565.tar::/fs/scratch/PAS2836/laion2b-data/00566.tar::/fs/scratch/PAS2836/laion2b-data/00567.tar::/fs/scratch/PAS2836/laion2b-data/00568.tar::/fs/scratch/PAS2836/laion2b-data/00569.tar::/fs/scratch/PAS2836/laion2b-data/00570.tar::/fs/scratch/PAS2836/laion2b-data/00571.tar::/fs/scratch/PAS2836/laion2b-data/00572.tar::/fs/scratch/PAS2836/laion2b-data/00573.tar::/fs/scratch/PAS2836/laion2b-data/00574.tar::/fs/scratch/PAS2836/laion2b-data/00575.tar::/fs/scratch/PAS2836/laion2b-data/00576.tar::/fs/scratch/PAS2836/laion2b-data/00577.tar::/fs/scratch/PAS2836/laion2b-data/00578.tar::/fs/scratch/PAS2836/laion2b-data/00579.tar::/fs/scratch/PAS2836/laion2b-data/00580.tar::/fs/scratch/PAS2836/laion2b-data/00581.tar::/fs/scratch/PAS2836/laion2b-data/00582.tar::/fs/scratch/PAS2836/laion2b-data/00583.tar::/fs/scratch/PAS2836/laion2b-data/00584.tar::/fs/scratch/PAS2836/laion2b-data/00585.tar::/fs/scratch/PAS2836/laion2b-data/00586.tar::/fs/scratch/PAS2836/laion2b-data/00587.tar::/fs/scratch/PAS2836/laion2b-data/00588.tar::/fs/scratch/PAS2836/laion2b-data/00589.tar::/fs/scratch/PAS2836/laion2b-data/00590.tar::/fs/scratch/PAS2836/laion2b-data/00591.tar::/fs/scratch/PAS2836/laion2b-data/00592.tar::/fs/scratch/PAS2836/laion2b-data/00593.tar::/fs/scratch/PAS2836/laion2b-data/00594.tar::/fs/scratch/PAS2836/laion2b-data/00595.tar::/fs/scratch/PAS2836/laion2b-data/00596.tar::/fs/scratch/PAS2836/laion2b-data/00597.tar::/fs/scratch/PAS2836/laion2b-data/00598.tar::/fs/scratch/PAS2836/laion2b-data/00599.tar::/fs/scratch/PAS2836/laion2b-data/00600.tar::/fs/scratch/PAS2836/laion2b-data/00601.tar::/fs/scratch/PAS2836/laion2b-data/00602.tar::/fs/scratch/PAS2836/laion2b-data/00603.tar::/fs/scratch/PAS2836/laion2b-data/00604.tar::/fs/scratch/PAS2836/laion2b-data/00605.tar::/fs/scratch/PAS2836/laion2b-data/00606.tar::/fs/scratch/PAS2836/laion2b-data/00607.tar::/fs/scratch/PAS2836/laion2b-data/00608.tar::/fs/scratch/PAS2836/laion2b-data/00609.tar::/fs/scratch/PAS2836/laion2b-data/00610.tar::/fs/scratch/PAS2836/laion2b-data/00611.tar::/fs/scratch/PAS2836/laion2b-data/00612.tar::/fs/scratch/PAS2836/laion2b-data/00613.tar::/fs/scratch/PAS2836/laion2b-data/00614.tar::/fs/scratch/PAS2836/laion2b-data/00615.tar::/fs/scratch/PAS2836/laion2b-data/00616.tar::/fs/scratch/PAS2836/laion2b-data/00617.tar::/fs/scratch/PAS2836/laion2b-data/00618.tar::/fs/scratch/PAS2836/laion2b-data/00619.tar::/fs/scratch/PAS2836/laion2b-data/00620.tar::/fs/scratch/PAS2836/laion2b-data/00621.tar::/fs/scratch/PAS2836/laion2b-data/00622.tar::/fs/scratch/PAS2836/laion2b-data/00623.tar::/fs/scratch/PAS2836/laion2b-data/00624.tar::/fs/scratch/PAS2836/laion2b-data/00625.tar::/fs/scratch/PAS2836/laion2b-data/00626.tar::/fs/scratch/PAS2836/laion2b-data/00627.tar::/fs/scratch/PAS2836/laion2b-data/00628.tar::/fs/scratch/PAS2836/laion2b-data/00629.tar::/fs/scratch/PAS2836/laion2b-data/00630.tar::/fs/scratch/PAS2836/laion2b-data/00631.tar::/fs/scratch/PAS2836/laion2b-data/00632.tar::/fs/scratch/PAS2836/laion2b-data/00633.tar::/fs/scratch/PAS2836/laion2b-data/00634.tar::/fs/scratch/PAS2836/laion2b-data/00635.tar::/fs/scratch/PAS2836/laion2b-data/00636.tar::/fs/scratch/PAS2836/laion2b-data/00637.tar::/fs/scratch/PAS2836/laion2b-data/00638.tar::/fs/scratch/PAS2836/laion2b-data/00639.tar::/fs/scratch/PAS2836/laion2b-data/00640.tar::/fs/scratch/PAS2836/laion2b-data/00641.tar::/fs/scratch/PAS2836/laion2b-data/00642.tar::/fs/scratch/PAS2836/laion2b-data/00643.tar::/fs/scratch/PAS2836/laion2b-data/00644.tar::/fs/scratch/PAS2836/laion2b-data/00645.tar::/fs/scratch/PAS2836/laion2b-data/00646.tar::/fs/scratch/PAS2836/laion2b-data/00647.tar::/fs/scratch/PAS2836/laion2b-data/00648.tar::/fs/scratch/PAS2836/laion2b-data/00649.tar::/fs/scratch/PAS2836/laion2b-data/00650.tar::/fs/scratch/PAS2836/laion2b-data/00651.tar::/fs/scratch/PAS2836/laion2b-data/00652.tar::/fs/scratch/PAS2836/laion2b-data/00653.tar::/fs/scratch/PAS2836/laion2b-data/00654.tar::/fs/scratch/PAS2836/laion2b-data/00655.tar::/fs/scratch/PAS2836/laion2b-data/00656.tar::/fs/scratch/PAS2836/laion2b-data/00657.tar::/fs/scratch/PAS2836/laion2b-data/00658.tar::/fs/scratch/PAS2836/laion2b-data/00659.tar::/fs/scratch/PAS2836/laion2b-data/00660.tar::/fs/scratch/PAS2836/laion2b-data/00661.tar::/fs/scratch/PAS2836/laion2b-data/00662.tar::/fs/scratch/PAS2836/laion2b-data/00663.tar::/fs/scratch/PAS2836/laion2b-data/00664.tar::/fs/scratch/PAS2836/laion2b-data/00665.tar::/fs/scratch/PAS2836/laion2b-data/00666.tar::/fs/scratch/PAS2836/laion2b-data/00667.tar::/fs/scratch/PAS2836/laion2b-data/00668.tar::/fs/scratch/PAS2836/laion2b-data/00669.tar::/fs/scratch/PAS2836/laion2b-data/00670.tar::/fs/scratch/PAS2836/laion2b-data/00671.tar::/fs/scratch/PAS2836/laion2b-data/00672.tar::/fs/scratch/PAS2836/laion2b-data/00673.tar::/fs/scratch/PAS2836/laion2b-data/00674.tar::/fs/scratch/PAS2836/laion2b-data/00675.tar::/fs/scratch/PAS2836/laion2b-data/00676.tar::/fs/scratch/PAS2836/laion2b-data/00677.tar::/fs/scratch/PAS2836/laion2b-data/00678.tar::/fs/scratch/PAS2836/laion2b-data/00679.tar::/fs/scratch/PAS2836/laion2b-data/00680.tar::/fs/scratch/PAS2836/laion2b-data/00681.tar::/fs/scratch/PAS2836/laion2b-data/00682.tar::/fs/scratch/PAS2836/laion2b-data/00683.tar::/fs/scratch/PAS2836/laion2b-data/00684.tar::/fs/scratch/PAS2836/laion2b-data/00685.tar::/fs/scratch/PAS2836/laion2b-data/00686.tar::/fs/scratch/PAS2836/laion2b-data/00687.tar::/fs/scratch/PAS2836/laion2b-data/00688.tar::/fs/scratch/PAS2836/laion2b-data/00689.tar::/fs/scratch/PAS2836/laion2b-data/00690.tar::/fs/scratch/PAS2836/laion2b-data/00691.tar::/fs/scratch/PAS2836/laion2b-data/00692.tar::/fs/scratch/PAS2836/laion2b-data/00693.tar::/fs/scratch/PAS2836/laion2b-data/00694.tar::/fs/scratch/PAS2836/laion2b-data/00695.tar::/fs/scratch/PAS2836/laion2b-data/00696.tar::/fs/scratch/PAS2836/laion2b-data/00697.tar::/fs/scratch/PAS2836/laion2b-data/00698.tar::/fs/scratch/PAS2836/laion2b-data/00699.tar::/fs/scratch/PAS2836/laion2b-data/00700.tar::/fs/scratch/PAS2836/laion2b-data/00701.tar::/fs/scratch/PAS2836/laion2b-data/00702.tar::/fs/scratch/PAS2836/laion2b-data/00703.tar::/fs/scratch/PAS2836/laion2b-data/00704.tar::/fs/scratch/PAS2836/laion2b-data/00705.tar::/fs/scratch/PAS2836/laion2b-data/00706.tar::/fs/scratch/PAS2836/laion2b-data/00707.tar::/fs/scratch/PAS2836/laion2b-data/00708.tar::/fs/scratch/PAS2836/laion2b-data/00709.tar::/fs/scratch/PAS2836/laion2b-data/00710.tar::/fs/scratch/PAS2836/laion2b-data/00711.tar::/fs/scratch/PAS2836/laion2b-data/00712.tar::/fs/scratch/PAS2836/laion2b-data/00713.tar::/fs/scratch/PAS2836/laion2b-data/00714.tar::/fs/scratch/PAS2836/laion2b-data/00715.tar::/fs/scratch/PAS2836/laion2b-data/00716.tar::/fs/scratch/PAS2836/laion2b-data/00717.tar::/fs/scratch/PAS2836/laion2b-data/00718.tar::/fs/scratch/PAS2836/laion2b-data/00719.tar::/fs/scratch/PAS2836/laion2b-data/00720.tar::/fs/scratch/PAS2836/laion2b-data/00721.tar::/fs/scratch/PAS2836/laion2b-data/00722.tar::/fs/scratch/PAS2836/laion2b-data/00723.tar::/fs/scratch/PAS2836/laion2b-data/00724.tar::/fs/scratch/PAS2836/laion2b-data/00725.tar::/fs/scratch/PAS2836/laion2b-data/00726.tar::/fs/scratch/PAS2836/laion2b-data/00727.tar::/fs/scratch/PAS2836/laion2b-data/00728.tar::/fs/scratch/PAS2836/laion2b-data/00729.tar::/fs/scratch/PAS2836/laion2b-data/00730.tar::/fs/scratch/PAS2836/laion2b-data/00731.tar::/fs/scratch/PAS2836/laion2b-data/00732.tar::/fs/scratch/PAS2836/laion2b-data/00733.tar::/fs/scratch/PAS2836/laion2b-data/00734.tar::/fs/scratch/PAS2836/laion2b-data/00735.tar::/fs/scratch/PAS2836/laion2b-data/00736.tar::/fs/scratch/PAS2836/laion2b-data/00737.tar::/fs/scratch/PAS2836/laion2b-data/00738.tar::/fs/scratch/PAS2836/laion2b-data/00739.tar::/fs/scratch/PAS2836/laion2b-data/00740.tar::/fs/scratch/PAS2836/laion2b-data/00741.tar::/fs/scratch/PAS2836/laion2b-data/00742.tar::/fs/scratch/PAS2836/laion2b-data/00743.tar::/fs/scratch/PAS2836/laion2b-data/00744.tar::/fs/scratch/PAS2836/laion2b-data/00745.tar::/fs/scratch/PAS2836/laion2b-data/00746.tar::/fs/scratch/PAS2836/laion2b-data/00747.tar::/fs/scratch/PAS2836/laion2b-data/00748.tar::/fs/scratch/PAS2836/laion2b-data/00749.tar::/fs/scratch/PAS2836/laion2b-data/00750.tar::/fs/scratch/PAS2836/laion2b-data/00751.tar::/fs/scratch/PAS2836/laion2b-data/00752.tar::/fs/scratch/PAS2836/laion2b-data/00753.tar::/fs/scratch/PAS2836/laion2b-data/00754.tar::/fs/scratch/PAS2836/laion2b-data/00755.tar::/fs/scratch/PAS2836/laion2b-data/00756.tar::/fs/scratch/PAS2836/laion2b-data/00757.tar::/fs/scratch/PAS2836/laion2b-data/00758.tar::/fs/scratch/PAS2836/laion2b-data/00759.tar::/fs/scratch/PAS2836/laion2b-data/00760.tar::/fs/scratch/PAS2836/laion2b-data/00761.tar::/fs/scratch/PAS2836/laion2b-data/00762.tar::/fs/scratch/PAS2836/laion2b-data/00763.tar::/fs/scratch/PAS2836/laion2b-data/00764.tar::/fs/scratch/PAS2836/laion2b-data/00765.tar::/fs/scratch/PAS2836/laion2b-data/00766.tar::/fs/scratch/PAS2836/laion2b-data/00767.tar::/fs/scratch/PAS2836/laion2b-data/00768.tar::/fs/scratch/PAS2836/laion2b-data/00769.tar::/fs/scratch/PAS2836/laion2b-data/00770.tar::/fs/scratch/PAS2836/laion2b-data/00771.tar::/fs/scratch/PAS2836/laion2b-data/00772.tar::/fs/scratch/PAS2836/laion2b-data/00773.tar::/fs/scratch/PAS2836/laion2b-data/00774.tar::/fs/scratch/PAS2836/laion2b-data/00775.tar::/fs/scratch/PAS2836/laion2b-data/00776.tar::/fs/scratch/PAS2836/laion2b-data/00777.tar::/fs/scratch/PAS2836/laion2b-data/00778.tar::/fs/scratch/PAS2836/laion2b-data/00779.tar::/fs/scratch/PAS2836/laion2b-data/00780.tar::/fs/scratch/PAS2836/laion2b-data/00781.tar::/fs/scratch/PAS2836/laion2b-data/00782.tar::/fs/scratch/PAS2836/laion2b-data/00783.tar::/fs/scratch/PAS2836/laion2b-data/00784.tar::/fs/scratch/PAS2836/laion2b-data/00785.tar::/fs/scratch/PAS2836/laion2b-data/00786.tar::/fs/scratch/PAS2836/laion2b-data/00787.tar::/fs/scratch/PAS2836/laion2b-data/00788.tar::/fs/scratch/PAS2836/laion2b-data/00789.tar::/fs/scratch/PAS2836/laion2b-data/00790.tar::/fs/scratch/PAS2836/laion2b-data/00791.tar::/fs/scratch/PAS2836/laion2b-data/00792.tar::/fs/scratch/PAS2836/laion2b-data/00793.tar::/fs/scratch/PAS2836/laion2b-data/00794.tar::/fs/scratch/PAS2836/laion2b-data/00795.tar::/fs/scratch/PAS2836/laion2b-data/00796.tar::/fs/scratch/PAS2836/laion2b-data/00797.tar::/fs/scratch/PAS2836/laion2b-data/00798.tar::/fs/scratch/PAS2836/laion2b-data/00799.tar::/fs/scratch/PAS2836/laion2b-data/00800.tar::/fs/scratch/PAS2836/laion2b-data/00801.tar::/fs/scratch/PAS2836/laion2b-data/00802.tar::/fs/scratch/PAS2836/laion2b-data/00803.tar::/fs/scratch/PAS2836/laion2b-data/00804.tar::/fs/scratch/PAS2836/laion2b-data/00805.tar::/fs/scratch/PAS2836/laion2b-data/00806.tar::/fs/scratch/PAS2836/laion2b-data/00807.tar::/fs/scratch/PAS2836/laion2b-data/00808.tar::/fs/scratch/PAS2836/laion2b-data/00809.tar::/fs/scratch/PAS2836/laion2b-data/00810.tar::/fs/scratch/PAS2836/laion2b-data/00811.tar::/fs/scratch/PAS2836/laion2b-data/00812.tar::/fs/scratch/PAS2836/laion2b-data/00813.tar::/fs/scratch/PAS2836/laion2b-data/00814.tar::/fs/scratch/PAS2836/laion2b-data/00815.tar::/fs/scratch/PAS2836/laion2b-data/00816.tar::/fs/scratch/PAS2836/laion2b-data/00817.tar::/fs/scratch/PAS2836/laion2b-data/00818.tar::/fs/scratch/PAS2836/laion2b-data/00819.tar::/fs/scratch/PAS2836/laion2b-data/00820.tar::/fs/scratch/PAS2836/laion2b-data/00821.tar::/fs/scratch/PAS2836/laion2b-data/00822.tar::/fs/scratch/PAS2836/laion2b-data/00823.tar::/fs/scratch/PAS2836/laion2b-data/00824.tar::/fs/scratch/PAS2836/laion2b-data/00825.tar::/fs/scratch/PAS2836/laion2b-data/00826.tar::/fs/scratch/PAS2836/laion2b-data/00827.tar::/fs/scratch/PAS2836/laion2b-data/00828.tar::/fs/scratch/PAS2836/laion2b-data/00829.tar::/fs/scratch/PAS2836/laion2b-data/00830.tar::/fs/scratch/PAS2836/laion2b-data/00831.tar::/fs/scratch/PAS2836/laion2b-data/00832.tar::/fs/scratch/PAS2836/laion2b-data/00833.tar::/fs/scratch/PAS2836/laion2b-data/00834.tar::/fs/scratch/PAS2836/laion2b-data/00835.tar::/fs/scratch/PAS2836/laion2b-data/00836.tar::/fs/scratch/PAS2836/laion2b-data/00837.tar::/fs/scratch/PAS2836/laion2b-data/00838.tar::/fs/scratch/PAS2836/laion2b-data/00839.tar::/fs/scratch/PAS2836/laion2b-data/00840.tar::/fs/scratch/PAS2836/laion2b-data/00841.tar::/fs/scratch/PAS2836/laion2b-data/00842.tar::/fs/scratch/PAS2836/laion2b-data/00843.tar::/fs/scratch/PAS2836/laion2b-data/00844.tar::/fs/scratch/PAS2836/laion2b-data/00845.tar::/fs/scratch/PAS2836/laion2b-data/00846.tar::/fs/scratch/PAS2836/laion2b-data/00847.tar::/fs/scratch/PAS2836/laion2b-data/00848.tar::/fs/scratch/PAS2836/laion2b-data/00849.tar::/fs/scratch/PAS2836/laion2b-data/00850.tar::/fs/scratch/PAS2836/laion2b-data/00851.tar::/fs/scratch/PAS2836/laion2b-data/00852.tar::/fs/scratch/PAS2836/laion2b-data/00853.tar::/fs/scratch/PAS2836/laion2b-data/00854.tar::/fs/scratch/PAS2836/laion2b-data/00855.tar::/fs/scratch/PAS2836/laion2b-data/00856.tar::/fs/scratch/PAS2836/laion2b-data/00857.tar::/fs/scratch/PAS2836/laion2b-data/00858.tar::/fs/scratch/PAS2836/laion2b-data/00859.tar::/fs/scratch/PAS2836/laion2b-data/00860.tar::/fs/scratch/PAS2836/laion2b-data/00861.tar::/fs/scratch/PAS2836/laion2b-data/00862.tar::/fs/scratch/PAS2836/laion2b-data/00863.tar::/fs/scratch/PAS2836/laion2b-data/00864.tar::/fs/scratch/PAS2836/laion2b-data/00865.tar::/fs/scratch/PAS2836/laion2b-data/00866.tar::/fs/scratch/PAS2836/laion2b-data/00867.tar::/fs/scratch/PAS2836/laion2b-data/00868.tar::/fs/scratch/PAS2836/laion2b-data/00869.tar::/fs/scratch/PAS2836/laion2b-data/00870.tar::/fs/scratch/PAS2836/laion2b-data/00871.tar::/fs/scratch/PAS2836/laion2b-data/00872.tar::/fs/scratch/PAS2836/laion2b-data/00873.tar::/fs/scratch/PAS2836/laion2b-data/00874.tar::/fs/scratch/PAS2836/laion2b-data/00875.tar::/fs/scratch/PAS2836/laion2b-data/00876.tar::/fs/scratch/PAS2836/laion2b-data/00877.tar::/fs/scratch/PAS2836/laion2b-data/00878.tar::/fs/scratch/PAS2836/laion2b-data/00879.tar::/fs/scratch/PAS2836/laion2b-data/00880.tar::/fs/scratch/PAS2836/laion2b-data/00881.tar::/fs/scratch/PAS2836/laion2b-data/00882.tar::/fs/scratch/PAS2836/laion2b-data/00883.tar::/fs/scratch/PAS2836/laion2b-data/00884.tar::/fs/scratch/PAS2836/laion2b-data/00885.tar::/fs/scratch/PAS2836/laion2b-data/00886.tar::/fs/scratch/PAS2836/laion2b-data/00887.tar::/fs/scratch/PAS2836/laion2b-data/00888.tar::/fs/scratch/PAS2836/laion2b-data/00889.tar::/fs/scratch/PAS2836/laion2b-data/00890.tar::/fs/scratch/PAS2836/laion2b-data/00891.tar::/fs/scratch/PAS2836/laion2b-data/00892.tar::/fs/scratch/PAS2836/laion2b-data/00893.tar::/fs/scratch/PAS2836/laion2b-data/00894.tar::/fs/scratch/PAS2836/laion2b-data/00895.tar::/fs/scratch/PAS2836/laion2b-data/00896.tar::/fs/scratch/PAS2836/laion2b-data/00897.tar::/fs/scratch/PAS2836/laion2b-data/00898.tar::/fs/scratch/PAS2836/laion2b-data/00899.tar::/fs/scratch/PAS2836/laion2b-data/00900.tar::/fs/scratch/PAS2836/laion2b-data/00901.tar::/fs/scratch/PAS2836/laion2b-data/00902.tar::/fs/scratch/PAS2836/laion2b-data/00903.tar::/fs/scratch/PAS2836/laion2b-data/00904.tar::/fs/scratch/PAS2836/laion2b-data/00905.tar::/fs/scratch/PAS2836/laion2b-data/00906.tar::/fs/scratch/PAS2836/laion2b-data/00907.tar::/fs/scratch/PAS2836/laion2b-data/00908.tar::/fs/scratch/PAS2836/laion2b-data/00909.tar::/fs/scratch/PAS2836/laion2b-data/00910.tar::/fs/scratch/PAS2836/laion2b-data/00911.tar::/fs/scratch/PAS2836/laion2b-data/00912.tar::/fs/scratch/PAS2836/laion2b-data/00913.tar::/fs/scratch/PAS2836/laion2b-data/00914.tar::/fs/scratch/PAS2836/laion2b-data/00915.tar::/fs/scratch/PAS2836/laion2b-data/00916.tar::/fs/scratch/PAS2836/laion2b-data/00917.tar::/fs/scratch/PAS2836/laion2b-data/00918.tar::/fs/scratch/PAS2836/laion2b-data/00919.tar::/fs/scratch/PAS2836/laion2b-data/00920.tar::/fs/scratch/PAS2836/laion2b-data/00921.tar::/fs/scratch/PAS2836/laion2b-data/00922.tar::/fs/scratch/PAS2836/laion2b-data/00923.tar::/fs/scratch/PAS2836/laion2b-data/00924.tar::/fs/scratch/PAS2836/laion2b-data/00925.tar::/fs/scratch/PAS2836/laion2b-data/00926.tar::/fs/scratch/PAS2836/laion2b-data/00927.tar::/fs/scratch/PAS2836/laion2b-data/00928.tar::/fs/scratch/PAS2836/laion2b-data/00929.tar::/fs/scratch/PAS2836/laion2b-data/00930.tar::/fs/scratch/PAS2836/laion2b-data/00931.tar::/fs/scratch/PAS2836/laion2b-data/00932.tar::/fs/scratch/PAS2836/laion2b-data/00933.tar::/fs/scratch/PAS2836/laion2b-data/00934.tar::/fs/scratch/PAS2836/laion2b-data/00935.tar::/fs/scratch/PAS2836/laion2b-data/00936.tar::/fs/scratch/PAS2836/laion2b-data/00937.tar::/fs/scratch/PAS2836/laion2b-data/00938.tar::/fs/scratch/PAS2836/laion2b-data/00939.tar::/fs/scratch/PAS2836/laion2b-data/00940.tar::/fs/scratch/PAS2836/laion2b-data/00941.tar::/fs/scratch/PAS2836/laion2b-data/00942.tar::/fs/scratch/PAS2836/laion2b-data/00943.tar::/fs/scratch/PAS2836/laion2b-data/00944.tar::/fs/scratch/PAS2836/laion2b-data/00945.tar::/fs/scratch/PAS2836/laion2b-data/00946.tar::/fs/scratch/PAS2836/laion2b-data/00947.tar::/fs/scratch/PAS2836/laion2b-data/00948.tar::/fs/scratch/PAS2836/laion2b-data/00949.tar::/fs/scratch/PAS2836/laion2b-data/00950.tar::/fs/scratch/PAS2836/laion2b-data/00951.tar::/fs/scratch/PAS2836/laion2b-data/00952.tar::/fs/scratch/PAS2836/laion2b-data/00953.tar::/fs/scratch/PAS2836/laion2b-data/00954.tar::/fs/scratch/PAS2836/laion2b-data/00955.tar::/fs/scratch/PAS2836/laion2b-data/00956.tar::/fs/scratch/PAS2836/laion2b-data/00957.tar::/fs/scratch/PAS2836/laion2b-data/00958.tar::/fs/scratch/PAS2836/laion2b-data/00959.tar::/fs/scratch/PAS2836/laion2b-data/00960.tar::/fs/scratch/PAS2836/laion2b-data/00961.tar::/fs/scratch/PAS2836/laion2b-data/00962.tar::/fs/scratch/PAS2836/laion2b-data/00963.tar::/fs/scratch/PAS2836/laion2b-data/00964.tar::/fs/scratch/PAS2836/laion2b-data/00965.tar::/fs/scratch/PAS2836/laion2b-data/00966.tar::/fs/scratch/PAS2836/laion2b-data/00967.tar::/fs/scratch/PAS2836/laion2b-data/00968.tar::/fs/scratch/PAS2836/laion2b-data/00969.tar::/fs/scratch/PAS2836/laion2b-data/00970.tar::/fs/scratch/PAS2836/laion2b-data/00971.tar::/fs/scratch/PAS2836/laion2b-data/00972.tar::/fs/scratch/PAS2836/laion2b-data/00973.tar::/fs/scratch/PAS2836/laion2b-data/00974.tar::/fs/scratch/PAS2836/laion2b-data/00975.tar::/fs/scratch/PAS2836/laion2b-data/00976.tar::/fs/scratch/PAS2836/laion2b-data/00977.tar::/fs/scratch/PAS2836/laion2b-data/00978.tar::/fs/scratch/PAS2836/laion2b-data/00979.tar::/fs/scratch/PAS2836/laion2b-data/00980.tar::/fs/scratch/PAS2836/laion2b-data/00981.tar::/fs/scratch/PAS2836/laion2b-data/00982.tar::/fs/scratch/PAS2836/laion2b-data/00983.tar::/fs/scratch/PAS2836/laion2b-data/00984.tar::/fs/scratch/PAS2836/laion2b-data/00985.tar::/fs/scratch/PAS2836/laion2b-data/00986.tar::/fs/scratch/PAS2836/laion2b-data/00987.tar::/fs/scratch/PAS2836/laion2b-data/00988.tar::/fs/scratch/PAS2836/laion2b-data/00989.tar::/fs/scratch/PAS2836/laion2b-data/00990.tar::/fs/scratch/PAS2836/laion2b-data/00991.tar::/fs/scratch/PAS2836/laion2b-data/00992.tar::/fs/scratch/PAS2836/laion2b-data/00993.tar::/fs/scratch/PAS2836/laion2b-data/00994.tar::/fs/scratch/PAS2836/laion2b-data/00995.tar::/fs/scratch/PAS2836/laion2b-data/00996.tar::/fs/scratch/PAS2836/laion2b-data/00997.tar::/fs/scratch/PAS2836/laion2b-data/00998.tar::/fs/scratch/PAS2836/laion2b-data/00999.tar::/fs/scratch/PAS2836/laion2b-data/01000.tar::/fs/scratch/PAS2836/laion2b-data/01001.tar::/fs/scratch/PAS2836/laion2b-data/01002.tar::/fs/scratch/PAS2836/laion2b-data/01003.tar::/fs/scratch/PAS2836/laion2b-data/01004.tar::/fs/scratch/PAS2836/laion2b-data/01005.tar::/fs/scratch/PAS2836/laion2b-data/01006.tar::/fs/scratch/PAS2836/laion2b-data/01007.tar::/fs/scratch/PAS2836/laion2b-data/01008.tar::/fs/scratch/PAS2836/laion2b-data/01009.tar::/fs/scratch/PAS2836/laion2b-data/01010.tar::/fs/scratch/PAS2836/laion2b-data/01011.tar::/fs/scratch/PAS2836/laion2b-data/01012.tar::/fs/scratch/PAS2836/laion2b-data/01013.tar::/fs/scratch/PAS2836/laion2b-data/01014.tar::/fs/scratch/PAS2836/laion2b-data/01015.tar::/fs/scratch/PAS2836/laion2b-data/01016.tar::/fs/scratch/PAS2836/laion2b-data/01017.tar::/fs/scratch/PAS2836/laion2b-data/01018.tar::/fs/scratch/PAS2836/laion2b-data/01019.tar::/fs/scratch/PAS2836/laion2b-data/01020.tar::/fs/scratch/PAS2836/laion2b-data/01021.tar::/fs/scratch/PAS2836/laion2b-data/01022.tar::/fs/scratch/PAS2836/laion2b-data/01023.tar::/fs/scratch/PAS2836/laion2b-data/01024.tar::/fs/scratch/PAS2836/laion2b-data/01025.tar::/fs/scratch/PAS2836/laion2b-data/01026.tar::/fs/scratch/PAS2836/laion2b-data/01027.tar::/fs/scratch/PAS2836/laion2b-data/01028.tar::/fs/scratch/PAS2836/laion2b-data/01029.tar::/fs/scratch/PAS2836/laion2b-data/01030.tar::/fs/scratch/PAS2836/laion2b-data/01031.tar::/fs/scratch/PAS2836/laion2b-data/01032.tar::/fs/scratch/PAS2836/laion2b-data/01033.tar::/fs/scratch/PAS2836/laion2b-data/01034.tar::/fs/scratch/PAS2836/laion2b-data/01035.tar::/fs/scratch/PAS2836/laion2b-data/01036.tar::/fs/scratch/PAS2836/laion2b-data/01037.tar::/fs/scratch/PAS2836/laion2b-data/01038.tar::/fs/scratch/PAS2836/laion2b-data/01039.tar::/fs/scratch/PAS2836/laion2b-data/01040.tar::/fs/scratch/PAS2836/laion2b-data/01041.tar::/fs/scratch/PAS2836/laion2b-data/01042.tar::/fs/scratch/PAS2836/laion2b-data/01043.tar::/fs/scratch/PAS2836/laion2b-data/01044.tar::/fs/scratch/PAS2836/laion2b-data/01045.tar::/fs/scratch/PAS2836/laion2b-data/01046.tar::/fs/scratch/PAS2836/laion2b-data/01047.tar::/fs/scratch/PAS2836/laion2b-data/01048.tar::/fs/scratch/PAS2836/laion2b-data/01049.tar::/fs/scratch/PAS2836/laion2b-data/01050.tar::/fs/scratch/PAS2836/laion2b-data/01051.tar::/fs/scratch/PAS2836/laion2b-data/01052.tar::/fs/scratch/PAS2836/laion2b-data/01053.tar::/fs/scratch/PAS2836/laion2b-data/01054.tar::/fs/scratch/PAS2836/laion2b-data/01055.tar::/fs/scratch/PAS2836/laion2b-data/01056.tar::/fs/scratch/PAS2836/laion2b-data/01057.tar::/fs/scratch/PAS2836/laion2b-data/01058.tar::/fs/scratch/PAS2836/laion2b-data/01059.tar::/fs/scratch/PAS2836/laion2b-data/01060.tar::/fs/scratch/PAS2836/laion2b-data/01061.tar::/fs/scratch/PAS2836/laion2b-data/01062.tar::/fs/scratch/PAS2836/laion2b-data/01063.tar::/fs/scratch/PAS2836/laion2b-data/01064.tar::/fs/scratch/PAS2836/laion2b-data/01065.tar::/fs/scratch/PAS2836/laion2b-data/01066.tar::/fs/scratch/PAS2836/laion2b-data/01067.tar::/fs/scratch/PAS2836/laion2b-data/01068.tar::/fs/scratch/PAS2836/laion2b-data/01069.tar::/fs/scratch/PAS2836/laion2b-data/01070.tar::/fs/scratch/PAS2836/laion2b-data/01071.tar::/fs/scratch/PAS2836/laion2b-data/01072.tar::/fs/scratch/PAS2836/laion2b-data/01073.tar::/fs/scratch/PAS2836/laion2b-data/01074.tar::/fs/scratch/PAS2836/laion2b-data/01075.tar::/fs/scratch/PAS2836/laion2b-data/01076.tar::/fs/scratch/PAS2836/laion2b-data/01077.tar::/fs/scratch/PAS2836/laion2b-data/01078.tar::/fs/scratch/PAS2836/laion2b-data/01079.tar::/fs/scratch/PAS2836/laion2b-data/01080.tar::/fs/scratch/PAS2836/laion2b-data/01081.tar::/fs/scratch/PAS2836/laion2b-data/01082.tar::/fs/scratch/PAS2836/laion2b-data/01083.tar::/fs/scratch/PAS2836/laion2b-data/01084.tar::/fs/scratch/PAS2836/laion2b-data/01085.tar::/fs/scratch/PAS2836/laion2b-data/01086.tar::/fs/scratch/PAS2836/laion2b-data/01087.tar::/fs/scratch/PAS2836/laion2b-data/01088.tar::/fs/scratch/PAS2836/laion2b-data/01089.tar::/fs/scratch/PAS2836/laion2b-data/01090.tar::/fs/scratch/PAS2836/laion2b-data/01091.tar::/fs/scratch/PAS2836/laion2b-data/01092.tar::/fs/scratch/PAS2836/laion2b-data/01093.tar::/fs/scratch/PAS2836/laion2b-data/01094.tar::/fs/scratch/PAS2836/laion2b-data/01095.tar::/fs/scratch/PAS2836/laion2b-data/01096.tar::/fs/scratch/PAS2836/laion2b-data/01097.tar::/fs/scratch/PAS2836/laion2b-data/01098.tar::/fs/scratch/PAS2836/laion2b-data/01099.tar::/fs/scratch/PAS2836/laion2b-data/01100.tar::/fs/scratch/PAS2836/laion2b-data/01101.tar::/fs/scratch/PAS2836/laion2b-data/01102.tar::/fs/scratch/PAS2836/laion2b-data/01103.tar::/fs/scratch/PAS2836/laion2b-data/01104.tar::/fs/scratch/PAS2836/laion2b-data/01105.tar::/fs/scratch/PAS2836/laion2b-data/01106.tar::/fs/scratch/PAS2836/laion2b-data/01107.tar::/fs/scratch/PAS2836/laion2b-data/01108.tar::/fs/scratch/PAS2836/laion2b-data/01109.tar::/fs/scratch/PAS2836/laion2b-data/01110.tar::/fs/scratch/PAS2836/laion2b-data/01111.tar::/fs/scratch/PAS2836/laion2b-data/01112.tar::/fs/scratch/PAS2836/laion2b-data/01113.tar::/fs/scratch/PAS2836/laion2b-data/01114.tar::/fs/scratch/PAS2836/laion2b-data/01115.tar::/fs/scratch/PAS2836/laion2b-data/01116.tar::/fs/scratch/PAS2836/laion2b-data/01117.tar::/fs/scratch/PAS2836/laion2b-data/01118.tar::/fs/scratch/PAS2836/laion2b-data/01119.tar::/fs/scratch/PAS2836/laion2b-data/01120.tar::/fs/scratch/PAS2836/laion2b-data/01121.tar::/fs/scratch/PAS2836/laion2b-data/01122.tar::/fs/scratch/PAS2836/laion2b-data/01123.tar::/fs/scratch/PAS2836/laion2b-data/01124.tar::/fs/scratch/PAS2836/laion2b-data/01125.tar::/fs/scratch/PAS2836/laion2b-data/01126.tar::/fs/scratch/PAS2836/laion2b-data/01127.tar::/fs/scratch/PAS2836/laion2b-data/01128.tar::/fs/scratch/PAS2836/laion2b-data/01129.tar::/fs/scratch/PAS2836/laion2b-data/01130.tar::/fs/scratch/PAS2836/laion2b-data/01131.tar::/fs/scratch/PAS2836/laion2b-data/01132.tar::/fs/scratch/PAS2836/laion2b-data/01133.tar::/fs/scratch/PAS2836/laion2b-data/01134.tar::/fs/scratch/PAS2836/laion2b-data/01135.tar::/fs/scratch/PAS2836/laion2b-data/01136.tar::/fs/scratch/PAS2836/laion2b-data/01137.tar::/fs/scratch/PAS2836/laion2b-data/01138.tar::/fs/scratch/PAS2836/laion2b-data/01139.tar::/fs/scratch/PAS2836/laion2b-data/01140.tar::/fs/scratch/PAS2836/laion2b-data/01141.tar::/fs/scratch/PAS2836/laion2b-data/01142.tar::/fs/scratch/PAS2836/laion2b-data/01143.tar::/fs/scratch/PAS2836/laion2b-data/01144.tar::/fs/scratch/PAS2836/laion2b-data/01145.tar::/fs/scratch/PAS2836/laion2b-data/01146.tar::/fs/scratch/PAS2836/laion2b-data/01147.tar::/fs/scratch/PAS2836/laion2b-data/01148.tar::/fs/scratch/PAS2836/laion2b-data/01149.tar::/fs/scratch/PAS2836/laion2b-data/01150.tar::/fs/scratch/PAS2836/laion2b-data/01151.tar::/fs/scratch/PAS2836/laion2b-data/01152.tar::/fs/scratch/PAS2836/laion2b-data/01153.tar::/fs/scratch/PAS2836/laion2b-data/01154.tar::/fs/scratch/PAS2836/laion2b-data/01155.tar::/fs/scratch/PAS2836/laion2b-data/01156.tar::/fs/scratch/PAS2836/laion2b-data/01157.tar::/fs/scratch/PAS2836/laion2b-data/01158.tar::/fs/scratch/PAS2836/laion2b-data/01159.tar::/fs/scratch/PAS2836/laion2b-data/01160.tar::/fs/scratch/PAS2836/laion2b-data/01161.tar::/fs/scratch/PAS2836/laion2b-data/01162.tar::/fs/scratch/PAS2836/laion2b-data/01163.tar::/fs/scratch/PAS2836/laion2b-data/01164.tar::/fs/scratch/PAS2836/laion2b-data/01165.tar::/fs/scratch/PAS2836/laion2b-data/01166.tar::/fs/scratch/PAS2836/laion2b-data/01167.tar::/fs/scratch/PAS2836/laion2b-data/01168.tar::/fs/scratch/PAS2836/laion2b-data/01169.tar::/fs/scratch/PAS2836/laion2b-data/01170.tar::/fs/scratch/PAS2836/laion2b-data/01171.tar::/fs/scratch/PAS2836/laion2b-data/01172.tar::/fs/scratch/PAS2836/laion2b-data/01173.tar::/fs/scratch/PAS2836/laion2b-data/01174.tar::/fs/scratch/PAS2836/laion2b-data/01175.tar::/fs/scratch/PAS2836/laion2b-data/01176.tar::/fs/scratch/PAS2836/laion2b-data/01177.tar::/fs/scratch/PAS2836/laion2b-data/01178.tar::/fs/scratch/PAS2836/laion2b-data/01179.tar::/fs/scratch/PAS2836/laion2b-data/01180.tar::/fs/scratch/PAS2836/laion2b-data/01181.tar::/fs/scratch/PAS2836/laion2b-data/01182.tar::/fs/scratch/PAS2836/laion2b-data/01183.tar::/fs/scratch/PAS2836/laion2b-data/01184.tar::/fs/scratch/PAS2836/laion2b-data/01185.tar::/fs/scratch/PAS2836/laion2b-data/01186.tar::/fs/scratch/PAS2836/laion2b-data/01187.tar::/fs/scratch/PAS2836/laion2b-data/01188.tar::/fs/scratch/PAS2836/laion2b-data/01189.tar::/fs/scratch/PAS2836/laion2b-data/01190.tar::/fs/scratch/PAS2836/laion2b-data/01191.tar::/fs/scratch/PAS2836/laion2b-data/01192.tar::/fs/scratch/PAS2836/laion2b-data/01193.tar::/fs/scratch/PAS2836/laion2b-data/01194.tar::/fs/scratch/PAS2836/laion2b-data/01195.tar::/fs/scratch/PAS2836/laion2b-data/01196.tar::/fs/scratch/PAS2836/laion2b-data/01197.tar::/fs/scratch/PAS2836/laion2b-data/01198.tar::/fs/scratch/PAS2836/laion2b-data/01199.tar::/fs/scratch/PAS2836/laion2b-data/01200.tar::/fs/scratch/PAS2836/laion2b-data/01201.tar::/fs/scratch/PAS2836/laion2b-data/01202.tar::/fs/scratch/PAS2836/laion2b-data/01203.tar::/fs/scratch/PAS2836/laion2b-data/01204.tar::/fs/scratch/PAS2836/laion2b-data/01205.tar::/fs/scratch/PAS2836/laion2b-data/01206.tar::/fs/scratch/PAS2836/laion2b-data/01207.tar::/fs/scratch/PAS2836/laion2b-data/01208.tar::/fs/scratch/PAS2836/laion2b-data/01209.tar::/fs/scratch/PAS2836/laion2b-data/01210.tar::/fs/scratch/PAS2836/laion2b-data/01211.tar::/fs/scratch/PAS2836/laion2b-data/01212.tar::/fs/scratch/PAS2836/laion2b-data/01213.tar::/fs/scratch/PAS2836/laion2b-data/01214.tar::/fs/scratch/PAS2836/laion2b-data/01215.tar::/fs/scratch/PAS2836/laion2b-data/01216.tar::/fs/scratch/PAS2836/laion2b-data/01217.tar::/fs/scratch/PAS2836/laion2b-data/01218.tar::/fs/scratch/PAS2836/laion2b-data/01219.tar::/fs/scratch/PAS2836/laion2b-data/01220.tar::/fs/scratch/PAS2836/laion2b-data/01221.tar::/fs/scratch/PAS2836/laion2b-data/01222.tar::/fs/scratch/PAS2836/laion2b-data/01223.tar::/fs/scratch/PAS2836/laion2b-data/01224.tar::/fs/scratch/PAS2836/laion2b-data/01225.tar::/fs/scratch/PAS2836/laion2b-data/01226.tar::/fs/scratch/PAS2836/laion2b-data/01227.tar::/fs/scratch/PAS2836/laion2b-data/01228.tar::/fs/scratch/PAS2836/laion2b-data/01229.tar::/fs/scratch/PAS2836/laion2b-data/01230.tar::/fs/scratch/PAS2836/laion2b-data/01231.tar::/fs/scratch/PAS2836/laion2b-data/01232.tar::/fs/scratch/PAS2836/laion2b-data/01233.tar::/fs/scratch/PAS2836/laion2b-data/01234.tar::/fs/scratch/PAS2836/laion2b-data/01235.tar::/fs/scratch/PAS2836/laion2b-data/01236.tar::/fs/scratch/PAS2836/laion2b-data/01237.tar::/fs/scratch/PAS2836/laion2b-data/01238.tar::/fs/scratch/PAS2836/laion2b-data/01239.tar::/fs/scratch/PAS2836/laion2b-data/01240.tar::/fs/scratch/PAS2836/laion2b-data/01241.tar::/fs/scratch/PAS2836/laion2b-data/01242.tar::/fs/scratch/PAS2836/laion2b-data/01243.tar::/fs/scratch/PAS2836/laion2b-data/01244.tar::/fs/scratch/PAS2836/laion2b-data/01245.tar::/fs/scratch/PAS2836/laion2b-data/01246.tar::/fs/scratch/PAS2836/laion2b-data/01247.tar::/fs/scratch/PAS2836/laion2b-data/01248.tar::/fs/scratch/PAS2836/laion2b-data/01249.tar::/fs/scratch/PAS2836/laion2b-data/01250.tar::/fs/scratch/PAS2836/laion2b-data/01251.tar::/fs/scratch/PAS2836/laion2b-data/01252.tar::/fs/scratch/PAS2836/laion2b-data/01253.tar::/fs/scratch/PAS2836/laion2b-data/01254.tar::/fs/scratch/PAS2836/laion2b-data/01255.tar::/fs/scratch/PAS2836/laion2b-data/01256.tar::/fs/scratch/PAS2836/laion2b-data/01257.tar::/fs/scratch/PAS2836/laion2b-data/01258.tar::/fs/scratch/PAS2836/laion2b-data/01259.tar::/fs/scratch/PAS2836/laion2b-data/01260.tar::/fs/scratch/PAS2836/laion2b-data/01261.tar::/fs/scratch/PAS2836/laion2b-data/01262.tar::/fs/scratch/PAS2836/laion2b-data/01263.tar::/fs/scratch/PAS2836/laion2b-data/01264.tar::/fs/scratch/PAS2836/laion2b-data/01265.tar::/fs/scratch/PAS2836/laion2b-data/01266.tar::/fs/scratch/PAS2836/laion2b-data/01267.tar::/fs/scratch/PAS2836/laion2b-data/01268.tar::/fs/scratch/PAS2836/laion2b-data/01269.tar::/fs/scratch/PAS2836/laion2b-data/01270.tar::/fs/scratch/PAS2836/laion2b-data/01271.tar::/fs/scratch/PAS2836/laion2b-data/01272.tar::/fs/scratch/PAS2836/laion2b-data/01273.tar::/fs/scratch/PAS2836/laion2b-data/01274.tar::/fs/scratch/PAS2836/laion2b-data/01275.tar::/fs/scratch/PAS2836/laion2b-data/01276.tar::/fs/scratch/PAS2836/laion2b-data/01277.tar::/fs/scratch/PAS2836/laion2b-data/01278.tar::/fs/scratch/PAS2836/laion2b-data/01279.tar::/fs/scratch/PAS2836/laion2b-data/01280.tar::/fs/scratch/PAS2836/laion2b-data/01281.tar::/fs/scratch/PAS2836/laion2b-data/01282.tar::/fs/scratch/PAS2836/laion2b-data/01283.tar::/fs/scratch/PAS2836/laion2b-data/01284.tar::/fs/scratch/PAS2836/laion2b-data/01285.tar::/fs/scratch/PAS2836/laion2b-data/01286.tar::/fs/scratch/PAS2836/laion2b-data/01287.tar::/fs/scratch/PAS2836/laion2b-data/01288.tar::/fs/scratch/PAS2836/laion2b-data/01289.tar::/fs/scratch/PAS2836/laion2b-data/01290.tar::/fs/scratch/PAS2836/laion2b-data/01291.tar::/fs/scratch/PAS2836/laion2b-data/01292.tar::/fs/scratch/PAS2836/laion2b-data/01293.tar::/fs/scratch/PAS2836/laion2b-data/01294.tar::/fs/scratch/PAS2836/laion2b-data/01295.tar::/fs/scratch/PAS2836/laion2b-data/01296.tar::/fs/scratch/PAS2836/laion2b-data/01297.tar::/fs/scratch/PAS2836/laion2b-data/01298.tar::/fs/scratch/PAS2836/laion2b-data/01299.tar::/fs/scratch/PAS2836/laion2b-data/01300.tar::/fs/scratch/PAS2836/laion2b-data/01301.tar::/fs/scratch/PAS2836/laion2b-data/01302.tar::/fs/scratch/PAS2836/laion2b-data/01303.tar::/fs/scratch/PAS2836/laion2b-data/01304.tar::/fs/scratch/PAS2836/laion2b-data/01305.tar::/fs/scratch/PAS2836/laion2b-data/01306.tar::/fs/scratch/PAS2836/laion2b-data/01307.tar::/fs/scratch/PAS2836/laion2b-data/01308.tar::/fs/scratch/PAS2836/laion2b-data/01309.tar::/fs/scratch/PAS2836/laion2b-data/01310.tar::/fs/scratch/PAS2836/laion2b-data/01311.tar::/fs/scratch/PAS2836/laion2b-data/01312.tar::/fs/scratch/PAS2836/laion2b-data/01313.tar::/fs/scratch/PAS2836/laion2b-data/01314.tar::/fs/scratch/PAS2836/laion2b-data/01315.tar::/fs/scratch/PAS2836/laion2b-data/01316.tar::/fs/scratch/PAS2836/laion2b-data/01317.tar::/fs/scratch/PAS2836/laion2b-data/01318.tar::/fs/scratch/PAS2836/laion2b-data/01319.tar::/fs/scratch/PAS2836/laion2b-data/01320.tar::/fs/scratch/PAS2836/laion2b-data/01321.tar::/fs/scratch/PAS2836/laion2b-data/01322.tar::/fs/scratch/PAS2836/laion2b-data/01323.tar::/fs/scratch/PAS2836/laion2b-data/01324.tar::/fs/scratch/PAS2836/laion2b-data/01325.tar::/fs/scratch/PAS2836/laion2b-data/01326.tar::/fs/scratch/PAS2836/laion2b-data/01327.tar::/fs/scratch/PAS2836/laion2b-data/01328.tar::/fs/scratch/PAS2836/laion2b-data/01329.tar::/fs/scratch/PAS2836/laion2b-data/01330.tar::/fs/scratch/PAS2836/laion2b-data/01331.tar::/fs/scratch/PAS2836/laion2b-data/01332.tar::/fs/scratch/PAS2836/laion2b-data/01333.tar::/fs/scratch/PAS2836/laion2b-data/01334.tar::/fs/scratch/PAS2836/laion2b-data/01335.tar::/fs/scratch/PAS2836/laion2b-data/01336.tar::/fs/scratch/PAS2836/laion2b-data/01337.tar::/fs/scratch/PAS2836/laion2b-data/01338.tar::/fs/scratch/PAS2836/laion2b-data/01339.tar::/fs/scratch/PAS2836/laion2b-data/01340.tar::/fs/scratch/PAS2836/laion2b-data/01341.tar::/fs/scratch/PAS2836/laion2b-data/01342.tar::/fs/scratch/PAS2836/laion2b-data/01343.tar::/fs/scratch/PAS2836/laion2b-data/01344.tar::/fs/scratch/PAS2836/laion2b-data/01345.tar::/fs/scratch/PAS2836/laion2b-data/01346.tar::/fs/scratch/PAS2836/laion2b-data/01347.tar::/fs/scratch/PAS2836/laion2b-data/01348.tar::/fs/scratch/PAS2836/laion2b-data/01349.tar::/fs/scratch/PAS2836/laion2b-data/01350.tar::/fs/scratch/PAS2836/laion2b-data/01351.tar::/fs/scratch/PAS2836/laion2b-data/01352.tar::/fs/scratch/PAS2836/laion2b-data/01353.tar::/fs/scratch/PAS2836/laion2b-data/01354.tar::/fs/scratch/PAS2836/laion2b-data/01355.tar::/fs/scratch/PAS2836/laion2b-data/01356.tar::/fs/scratch/PAS2836/laion2b-data/01357.tar::/fs/scratch/PAS2836/laion2b-data/01358.tar::/fs/scratch/PAS2836/laion2b-data/01359.tar::/fs/scratch/PAS2836/laion2b-data/01360.tar::/fs/scratch/PAS2836/laion2b-data/01361.tar::/fs/scratch/PAS2836/laion2b-data/01362.tar::/fs/scratch/PAS2836/laion2b-data/01363.tar::/fs/scratch/PAS2836/laion2b-data/01364.tar::/fs/scratch/PAS2836/laion2b-data/01365.tar::/fs/scratch/PAS2836/laion2b-data/01366.tar::/fs/scratch/PAS2836/laion2b-data/01367.tar::/fs/scratch/PAS2836/laion2b-data/01368.tar::/fs/scratch/PAS2836/laion2b-data/01369.tar::/fs/scratch/PAS2836/laion2b-data/01370.tar::/fs/scratch/PAS2836/laion2b-data/01371.tar::/fs/scratch/PAS2836/laion2b-data/01372.tar::/fs/scratch/PAS2836/laion2b-data/01373.tar::/fs/scratch/PAS2836/laion2b-data/01374.tar::/fs/scratch/PAS2836/laion2b-data/01375.tar::/fs/scratch/PAS2836/laion2b-data/01376.tar::/fs/scratch/PAS2836/laion2b-data/01377.tar::/fs/scratch/PAS2836/laion2b-data/01378.tar::/fs/scratch/PAS2836/laion2b-data/01379.tar::/fs/scratch/PAS2836/laion2b-data/01380.tar::/fs/scratch/PAS2836/laion2b-data/01381.tar::/fs/scratch/PAS2836/laion2b-data/01382.tar::/fs/scratch/PAS2836/laion2b-data/01383.tar::/fs/scratch/PAS2836/laion2b-data/01384.tar::/fs/scratch/PAS2836/laion2b-data/01385.tar::/fs/scratch/PAS2836/laion2b-data/01386.tar::/fs/scratch/PAS2836/laion2b-data/01387.tar::/fs/scratch/PAS2836/laion2b-data/01388.tar::/fs/scratch/PAS2836/laion2b-data/01389.tar::/fs/scratch/PAS2836/laion2b-data/01390.tar::/fs/scratch/PAS2836/laion2b-data/01391.tar::/fs/scratch/PAS2836/laion2b-data/01392.tar::/fs/scratch/PAS2836/laion2b-data/01393.tar::/fs/scratch/PAS2836/laion2b-data/01394.tar::/fs/scratch/PAS2836/laion2b-data/01395.tar::/fs/scratch/PAS2836/laion2b-data/01396.tar::/fs/scratch/PAS2836/laion2b-data/01397.tar::/fs/scratch/PAS2836/laion2b-data/01398.tar::/fs/scratch/PAS2836/laion2b-data/01399.tar::/fs/scratch/PAS2836/laion2b-data/01400.tar::/fs/scratch/PAS2836/laion2b-data/01401.tar::/fs/scratch/PAS2836/laion2b-data/01402.tar::/fs/scratch/PAS2836/laion2b-data/01403.tar::/fs/scratch/PAS2836/laion2b-data/01404.tar::/fs/scratch/PAS2836/laion2b-data/01405.tar::/fs/scratch/PAS2836/laion2b-data/01406.tar::/fs/scratch/PAS2836/laion2b-data/01407.tar::/fs/scratch/PAS2836/laion2b-data/01408.tar::/fs/scratch/PAS2836/laion2b-data/01409.tar::/fs/scratch/PAS2836/laion2b-data/01410.tar::/fs/scratch/PAS2836/laion2b-data/01411.tar::/fs/scratch/PAS2836/laion2b-data/01412.tar::/fs/scratch/PAS2836/laion2b-data/01413.tar::/fs/scratch/PAS2836/laion2b-data/01414.tar::/fs/scratch/PAS2836/laion2b-data/01415.tar::/fs/scratch/PAS2836/laion2b-data/01416.tar::/fs/scratch/PAS2836/laion2b-data/01417.tar::/fs/scratch/PAS2836/laion2b-data/01418.tar::/fs/scratch/PAS2836/laion2b-data/01419.tar::/fs/scratch/PAS2836/laion2b-data/01420.tar::/fs/scratch/PAS2836/laion2b-data/01421.tar::/fs/scratch/PAS2836/laion2b-data/01422.tar::/fs/scratch/PAS2836/laion2b-data/01423.tar::/fs/scratch/PAS2836/laion2b-data/01424.tar::/fs/scratch/PAS2836/laion2b-data/01425.tar::/fs/scratch/PAS2836/laion2b-data/01426.tar::/fs/scratch/PAS2836/laion2b-data/01427.tar::/fs/scratch/PAS2836/laion2b-data/01428.tar::/fs/scratch/PAS2836/laion2b-data/01429.tar::/fs/scratch/PAS2836/laion2b-data/01430.tar::/fs/scratch/PAS2836/laion2b-data/01431.tar::/fs/scratch/PAS2836/laion2b-data/01432.tar::/fs/scratch/PAS2836/laion2b-data/01433.tar::/fs/scratch/PAS2836/laion2b-data/01434.tar::/fs/scratch/PAS2836/laion2b-data/01435.tar::/fs/scratch/PAS2836/laion2b-data/01436.tar::/fs/scratch/PAS2836/laion2b-data/01437.tar::/fs/scratch/PAS2836/laion2b-data/01438.tar::/fs/scratch/PAS2836/laion2b-data/01439.tar::/fs/scratch/PAS2836/laion2b-data/01440.tar::/fs/scratch/PAS2836/laion2b-data/01441.tar::/fs/scratch/PAS2836/laion2b-data/01442.tar::/fs/scratch/PAS2836/laion2b-data/01443.tar::/fs/scratch/PAS2836/laion2b-data/01444.tar::/fs/scratch/PAS2836/laion2b-data/01445.tar::/fs/scratch/PAS2836/laion2b-data/01446.tar::/fs/scratch/PAS2836/laion2b-data/01447.tar::/fs/scratch/PAS2836/laion2b-data/01448.tar::/fs/scratch/PAS2836/laion2b-data/01449.tar::/fs/scratch/PAS2836/laion2b-data/01450.tar::/fs/scratch/PAS2836/laion2b-data/01451.tar::/fs/scratch/PAS2836/laion2b-data/01452.tar::/fs/scratch/PAS2836/laion2b-data/01453.tar::/fs/scratch/PAS2836/laion2b-data/01454.tar::/fs/scratch/PAS2836/laion2b-data/01455.tar::/fs/scratch/PAS2836/laion2b-data/01456.tar::/fs/scratch/PAS2836/laion2b-data/01457.tar::/fs/scratch/PAS2836/laion2b-data/01458.tar::/fs/scratch/PAS2836/laion2b-data/01459.tar::/fs/scratch/PAS2836/laion2b-data/01460.tar::/fs/scratch/PAS2836/laion2b-data/01461.tar::/fs/scratch/PAS2836/laion2b-data/01462.tar::/fs/scratch/PAS2836/laion2b-data/01463.tar::/fs/scratch/PAS2836/laion2b-data/01464.tar::/fs/scratch/PAS2836/laion2b-data/01465.tar::/fs/scratch/PAS2836/laion2b-data/01466.tar::/fs/scratch/PAS2836/laion2b-data/01467.tar::/fs/scratch/PAS2836/laion2b-data/01468.tar::/fs/scratch/PAS2836/laion2b-data/01469.tar::/fs/scratch/PAS2836/laion2b-data/01470.tar::/fs/scratch/PAS2836/laion2b-data/01471.tar::/fs/scratch/PAS2836/laion2b-data/01472.tar::/fs/scratch/PAS2836/laion2b-data/01473.tar::/fs/scratch/PAS2836/laion2b-data/01474.tar::/fs/scratch/PAS2836/laion2b-data/01475.tar::/fs/scratch/PAS2836/laion2b-data/01476.tar::/fs/scratch/PAS2836/laion2b-data/01477.tar::/fs/scratch/PAS2836/laion2b-data/01478.tar::/fs/scratch/PAS2836/laion2b-data/01479.tar::/fs/scratch/PAS2836/laion2b-data/01480.tar::/fs/scratch/PAS2836/laion2b-data/01481.tar::/fs/scratch/PAS2836/laion2b-data/01482.tar::/fs/scratch/PAS2836/laion2b-data/01483.tar::/fs/scratch/PAS2836/laion2b-data/01484.tar::/fs/scratch/PAS2836/laion2b-data/01485.tar::/fs/scratch/PAS2836/laion2b-data/01486.tar::/fs/scratch/PAS2836/laion2b-data/01487.tar::/fs/scratch/PAS2836/laion2b-data/01488.tar::/fs/scratch/PAS2836/laion2b-data/01489.tar::/fs/scratch/PAS2836/laion2b-data/01490.tar::/fs/scratch/PAS2836/laion2b-data/01491.tar::/fs/scratch/PAS2836/laion2b-data/01492.tar::/fs/scratch/PAS2836/laion2b-data/01493.tar::/fs/scratch/PAS2836/laion2b-data/01494.tar::/fs/scratch/PAS2836/laion2b-data/01495.tar::/fs/scratch/PAS2836/laion2b-data/01496.tar::/fs/scratch/PAS2836/laion2b-data/01497.tar::/fs/scratch/PAS2836/laion2b-data/01498.tar::/fs/scratch/PAS2836/laion2b-data/01499.tar::/fs/scratch/PAS2836/laion2b-data/01500.tar::/fs/scratch/PAS2836/laion2b-data/01501.tar::/fs/scratch/PAS2836/laion2b-data/01502.tar::/fs/scratch/PAS2836/laion2b-data/01503.tar::/fs/scratch/PAS2836/laion2b-data/01504.tar::/fs/scratch/PAS2836/laion2b-data/01505.tar::/fs/scratch/PAS2836/laion2b-data/01506.tar::/fs/scratch/PAS2836/laion2b-data/01507.tar::/fs/scratch/PAS2836/laion2b-data/01508.tar::/fs/scratch/PAS2836/laion2b-data/01509.tar::/fs/scratch/PAS2836/laion2b-data/01510.tar::/fs/scratch/PAS2836/laion2b-data/01511.tar::/fs/scratch/PAS2836/laion2b-data/01512.tar::/fs/scratch/PAS2836/laion2b-data/01513.tar::/fs/scratch/PAS2836/laion2b-data/01514.tar::/fs/scratch/PAS2836/laion2b-data/01515.tar::/fs/scratch/PAS2836/laion2b-data/01516.tar::/fs/scratch/PAS2836/laion2b-data/01517.tar::/fs/scratch/PAS2836/laion2b-data/01518.tar::/fs/scratch/PAS2836/laion2b-data/01519.tar::/fs/scratch/PAS2836/laion2b-data/01520.tar::/fs/scratch/PAS2836/laion2b-data/01521.tar::/fs/scratch/PAS2836/laion2b-data/01522.tar::/fs/scratch/PAS2836/laion2b-data/01523.tar::/fs/scratch/PAS2836/laion2b-data/01524.tar::/fs/scratch/PAS2836/laion2b-data/01525.tar::/fs/scratch/PAS2836/laion2b-data/01526.tar::/fs/scratch/PAS2836/laion2b-data/01527.tar::/fs/scratch/PAS2836/laion2b-data/01528.tar::/fs/scratch/PAS2836/laion2b-data/01529.tar::/fs/scratch/PAS2836/laion2b-data/01530.tar::/fs/scratch/PAS2836/laion2b-data/01531.tar::/fs/scratch/PAS2836/laion2b-data/01532.tar::/fs/scratch/PAS2836/laion2b-data/01533.tar::/fs/scratch/PAS2836/laion2b-data/01534.tar::/fs/scratch/PAS2836/laion2b-data/01535.tar::/fs/scratch/PAS2836/laion2b-data/01536.tar::/fs/scratch/PAS2836/laion2b-data/01537.tar::/fs/scratch/PAS2836/laion2b-data/01538.tar::/fs/scratch/PAS2836/laion2b-data/01539.tar::/fs/scratch/PAS2836/laion2b-data/01540.tar::/fs/scratch/PAS2836/laion2b-data/01541.tar::/fs/scratch/PAS2836/laion2b-data/01542.tar::/fs/scratch/PAS2836/laion2b-data/01543.tar::/fs/scratch/PAS2836/laion2b-data/01544.tar::/fs/scratch/PAS2836/laion2b-data/01545.tar::/fs/scratch/PAS2836/laion2b-data/01546.tar::/fs/scratch/PAS2836/laion2b-data/01547.tar::/fs/scratch/PAS2836/laion2b-data/01548.tar::/fs/scratch/PAS2836/laion2b-data/01549.tar::/fs/scratch/PAS2836/laion2b-data/01550.tar::/fs/scratch/PAS2836/laion2b-data/01551.tar::/fs/scratch/PAS2836/laion2b-data/01552.tar::/fs/scratch/PAS2836/laion2b-data/01553.tar::/fs/scratch/PAS2836/laion2b-data/01554.tar::/fs/scratch/PAS2836/laion2b-data/01555.tar::/fs/scratch/PAS2836/laion2b-data/01556.tar::/fs/scratch/PAS2836/laion2b-data/01557.tar::/fs/scratch/PAS2836/laion2b-data/01558.tar::/fs/scratch/PAS2836/laion2b-data/01559.tar::/fs/scratch/PAS2836/laion2b-data/01560.tar::/fs/scratch/PAS2836/laion2b-data/01561.tar::/fs/scratch/PAS2836/laion2b-data/01562.tar::/fs/scratch/PAS2836/laion2b-data/01563.tar::/fs/scratch/PAS2836/laion2b-data/01564.tar::/fs/scratch/PAS2836/laion2b-data/01565.tar::/fs/scratch/PAS2836/laion2b-data/01566.tar::/fs/scratch/PAS2836/laion2b-data/01567.tar::/fs/scratch/PAS2836/laion2b-data/01568.tar::/fs/scratch/PAS2836/laion2b-data/01569.tar::/fs/scratch/PAS2836/laion2b-data/01570.tar::/fs/scratch/PAS2836/laion2b-data/01571.tar::/fs/scratch/PAS2836/laion2b-data/01572.tar::/fs/scratch/PAS2836/laion2b-data/01573.tar::/fs/scratch/PAS2836/laion2b-data/01574.tar::/fs/scratch/PAS2836/laion2b-data/01575.tar::/fs/scratch/PAS2836/laion2b-data/01576.tar::/fs/scratch/PAS2836/laion2b-data/01577.tar::/fs/scratch/PAS2836/laion2b-data/01578.tar::/fs/scratch/PAS2836/laion2b-data/01579.tar::/fs/scratch/PAS2836/laion2b-data/01580.tar::/fs/scratch/PAS2836/laion2b-data/01581.tar::/fs/scratch/PAS2836/laion2b-data/01582.tar::/fs/scratch/PAS2836/laion2b-data/01583.tar::/fs/scratch/PAS2836/laion2b-data/01584.tar::/fs/scratch/PAS2836/laion2b-data/01585.tar::/fs/scratch/PAS2836/laion2b-data/01586.tar::/fs/scratch/PAS2836/laion2b-data/01587.tar::/fs/scratch/PAS2836/laion2b-data/01588.tar::/fs/scratch/PAS2836/laion2b-data/01589.tar::/fs/scratch/PAS2836/laion2b-data/01590.tar::/fs/scratch/PAS2836/laion2b-data/01591.tar::/fs/scratch/PAS2836/laion2b-data/01592.tar::/fs/scratch/PAS2836/laion2b-data/01593.tar::/fs/scratch/PAS2836/laion2b-data/01594.tar::/fs/scratch/PAS2836/laion2b-data/01595.tar::/fs/scratch/PAS2836/laion2b-data/01596.tar::/fs/scratch/PAS2836/laion2b-data/01597.tar::/fs/scratch/PAS2836/laion2b-data/01598.tar::/fs/scratch/PAS2836/laion2b-data/01599.tar::/fs/scratch/PAS2836/laion2b-data/01600.tar::/fs/scratch/PAS2836/laion2b-data/01601.tar::/fs/scratch/PAS2836/laion2b-data/01602.tar::/fs/scratch/PAS2836/laion2b-data/01603.tar::/fs/scratch/PAS2836/laion2b-data/01604.tar::/fs/scratch/PAS2836/laion2b-data/01605.tar::/fs/scratch/PAS2836/laion2b-data/01606.tar::/fs/scratch/PAS2836/laion2b-data/01607.tar::/fs/scratch/PAS2836/laion2b-data/01608.tar::/fs/scratch/PAS2836/laion2b-data/01609.tar::/fs/scratch/PAS2836/laion2b-data/01610.tar::/fs/scratch/PAS2836/laion2b-data/01611.tar::/fs/scratch/PAS2836/laion2b-data/01612.tar::/fs/scratch/PAS2836/laion2b-data/01613.tar::/fs/scratch/PAS2836/laion2b-data/01614.tar::/fs/scratch/PAS2836/laion2b-data/01615.tar::/fs/scratch/PAS2836/laion2b-data/01616.tar::/fs/scratch/PAS2836/laion2b-data/01617.tar::/fs/scratch/PAS2836/laion2b-data/01618.tar::/fs/scratch/PAS2836/laion2b-data/01619.tar::/fs/scratch/PAS2836/laion2b-data/01620.tar::/fs/scratch/PAS2836/laion2b-data/01621.tar::/fs/scratch/PAS2836/laion2b-data/01622.tar::/fs/scratch/PAS2836/laion2b-data/01623.tar::/fs/scratch/PAS2836/laion2b-data/01624.tar::/fs/scratch/PAS2836/laion2b-data/01625.tar::/fs/scratch/PAS2836/laion2b-data/01626.tar::/fs/scratch/PAS2836/laion2b-data/01627.tar::/fs/scratch/PAS2836/laion2b-data/01628.tar::/fs/scratch/PAS2836/laion2b-data/01629.tar::/fs/scratch/PAS2836/laion2b-data/01630.tar::/fs/scratch/PAS2836/laion2b-data/01631.tar::/fs/scratch/PAS2836/laion2b-data/01632.tar::/fs/scratch/PAS2836/laion2b-data/01633.tar::/fs/scratch/PAS2836/laion2b-data/01634.tar::/fs/scratch/PAS2836/laion2b-data/01635.tar::/fs/scratch/PAS2836/laion2b-data/01636.tar::/fs/scratch/PAS2836/laion2b-data/01637.tar::/fs/scratch/PAS2836/laion2b-data/01638.tar::/fs/scratch/PAS2836/laion2b-data/01639.tar::/fs/scratch/PAS2836/laion2b-data/01640.tar::/fs/scratch/PAS2836/laion2b-data/01641.tar::/fs/scratch/PAS2836/laion2b-data/01642.tar::/fs/scratch/PAS2836/laion2b-data/01643.tar::/fs/scratch/PAS2836/laion2b-data/01644.tar::/fs/scratch/PAS2836/laion2b-data/01645.tar::/fs/scratch/PAS2836/laion2b-data/01646.tar::/fs/scratch/PAS2836/laion2b-data/01647.tar::/fs/scratch/PAS2836/laion2b-data/01648.tar::/fs/scratch/PAS2836/laion2b-data/01649.tar::/fs/scratch/PAS2836/laion2b-data/01650.tar::/fs/scratch/PAS2836/laion2b-data/01651.tar::/fs/scratch/PAS2836/laion2b-data/01652.tar::/fs/scratch/PAS2836/laion2b-data/01653.tar::/fs/scratch/PAS2836/laion2b-data/01654.tar::/fs/scratch/PAS2836/laion2b-data/01655.tar::/fs/scratch/PAS2836/laion2b-data/01656.tar::/fs/scratch/PAS2836/laion2b-data/01657.tar::/fs/scratch/PAS2836/laion2b-data/01658.tar::/fs/scratch/PAS2836/laion2b-data/01659.tar::/fs/scratch/PAS2836/laion2b-data/01660.tar::/fs/scratch/PAS2836/laion2b-data/01661.tar::/fs/scratch/PAS2836/laion2b-data/01662.tar::/fs/scratch/PAS2836/laion2b-data/01663.tar::/fs/scratch/PAS2836/laion2b-data/01664.tar::/fs/scratch/PAS2836/laion2b-data/01665.tar::/fs/scratch/PAS2836/laion2b-data/01666.tar::/fs/scratch/PAS2836/laion2b-data/01667.tar::/fs/scratch/PAS2836/laion2b-data/01668.tar::/fs/scratch/PAS2836/laion2b-data/01669.tar::/fs/scratch/PAS2836/laion2b-data/01670.tar::/fs/scratch/PAS2836/laion2b-data/01671.tar::/fs/scratch/PAS2836/laion2b-data/01672.tar::/fs/scratch/PAS2836/laion2b-data/01673.tar::/fs/scratch/PAS2836/laion2b-data/01674.tar::/fs/scratch/PAS2836/laion2b-data/01675.tar::/fs/scratch/PAS2836/laion2b-data/01676.tar::/fs/scratch/PAS2836/laion2b-data/01677.tar::/fs/scratch/PAS2836/laion2b-data/01678.tar::/fs/scratch/PAS2836/laion2b-data/01679.tar::/fs/scratch/PAS2836/laion2b-data/01680.tar::/fs/scratch/PAS2836/laion2b-data/01681.tar::/fs/scratch/PAS2836/laion2b-data/01682.tar::/fs/scratch/PAS2836/laion2b-data/01683.tar::/fs/scratch/PAS2836/laion2b-data/01684.tar::/fs/scratch/PAS2836/laion2b-data/01685.tar::/fs/scratch/PAS2836/laion2b-data/01686.tar::/fs/scratch/PAS2836/laion2b-data/01687.tar::/fs/scratch/PAS2836/laion2b-data/01688.tar::/fs/scratch/PAS2836/laion2b-data/01689.tar::/fs/scratch/PAS2836/laion2b-data/01690.tar::/fs/scratch/PAS2836/laion2b-data/01691.tar::/fs/scratch/PAS2836/laion2b-data/01692.tar::/fs/scratch/PAS2836/laion2b-data/01693.tar::/fs/scratch/PAS2836/laion2b-data/01694.tar::/fs/scratch/PAS2836/laion2b-data/01695.tar::/fs/scratch/PAS2836/laion2b-data/01696.tar::/fs/scratch/PAS2836/laion2b-data/01697.tar::/fs/scratch/PAS2836/laion2b-data/01698.tar::/fs/scratch/PAS2836/laion2b-data/01699.tar::/fs/scratch/PAS2836/laion2b-data/01700.tar::/fs/scratch/PAS2836/laion2b-data/01701.tar::/fs/scratch/PAS2836/laion2b-data/01702.tar::/fs/scratch/PAS2836/laion2b-data/01703.tar::/fs/scratch/PAS2836/laion2b-data/01704.tar::/fs/scratch/PAS2836/laion2b-data/01705.tar::/fs/scratch/PAS2836/laion2b-data/01706.tar::/fs/scratch/PAS2836/laion2b-data/01707.tar::/fs/scratch/PAS2836/laion2b-data/01708.tar::/fs/scratch/PAS2836/laion2b-data/01709.tar::/fs/scratch/PAS2836/laion2b-data/01710.tar::/fs/scratch/PAS2836/laion2b-data/01711.tar::/fs/scratch/PAS2836/laion2b-data/01712.tar::/fs/scratch/PAS2836/laion2b-data/01713.tar::/fs/scratch/PAS2836/laion2b-data/01714.tar::/fs/scratch/PAS2836/laion2b-data/01715.tar::/fs/scratch/PAS2836/laion2b-data/01716.tar::/fs/scratch/PAS2836/laion2b-data/01717.tar::/fs/scratch/PAS2836/laion2b-data/01718.tar::/fs/scratch/PAS2836/laion2b-data/01719.tar::/fs/scratch/PAS2836/laion2b-data/01720.tar::/fs/scratch/PAS2836/laion2b-data/01721.tar::/fs/scratch/PAS2836/laion2b-data/01722.tar::/fs/scratch/PAS2836/laion2b-data/01723.tar::/fs/scratch/PAS2836/laion2b-data/01724.tar::/fs/scratch/PAS2836/laion2b-data/01725.tar::/fs/scratch/PAS2836/laion2b-data/01726.tar::/fs/scratch/PAS2836/laion2b-data/01727.tar::/fs/scratch/PAS2836/laion2b-data/01728.tar::/fs/scratch/PAS2836/laion2b-data/01729.tar::/fs/scratch/PAS2836/laion2b-data/01730.tar::/fs/scratch/PAS2836/laion2b-data/01731.tar::/fs/scratch/PAS2836/laion2b-data/01732.tar::/fs/scratch/PAS2836/laion2b-data/01733.tar::/fs/scratch/PAS2836/laion2b-data/01734.tar::/fs/scratch/PAS2836/laion2b-data/01735.tar::/fs/scratch/PAS2836/laion2b-data/01736.tar::/fs/scratch/PAS2836/laion2b-data/01737.tar::/fs/scratch/PAS2836/laion2b-data/01738.tar::/fs/scratch/PAS2836/laion2b-data/01739.tar::/fs/scratch/PAS2836/laion2b-data/01740.tar::/fs/scratch/PAS2836/laion2b-data/01741.tar::/fs/scratch/PAS2836/laion2b-data/01742.tar::/fs/scratch/PAS2836/laion2b-data/01743.tar::/fs/scratch/PAS2836/laion2b-data/01744.tar::/fs/scratch/PAS2836/laion2b-data/01745.tar::/fs/scratch/PAS2836/laion2b-data/01746.tar::/fs/scratch/PAS2836/laion2b-data/01747.tar::/fs/scratch/PAS2836/laion2b-data/01748.tar::/fs/scratch/PAS2836/laion2b-data/01749.tar::/fs/scratch/PAS2836/laion2b-data/01750.tar::/fs/scratch/PAS2836/laion2b-data/01751.tar::/fs/scratch/PAS2836/laion2b-data/01752.tar::/fs/scratch/PAS2836/laion2b-data/01753.tar::/fs/scratch/PAS2836/laion2b-data/01754.tar::/fs/scratch/PAS2836/laion2b-data/01755.tar::/fs/scratch/PAS2836/laion2b-data/01756.tar::/fs/scratch/PAS2836/laion2b-data/01757.tar::/fs/scratch/PAS2836/laion2b-data/01758.tar::/fs/scratch/PAS2836/laion2b-data/01759.tar::/fs/scratch/PAS2836/laion2b-data/01760.tar::/fs/scratch/PAS2836/laion2b-data/01761.tar::/fs/scratch/PAS2836/laion2b-data/01762.tar::/fs/scratch/PAS2836/laion2b-data/01763.tar::/fs/scratch/PAS2836/laion2b-data/01764.tar::/fs/scratch/PAS2836/laion2b-data/01765.tar::/fs/scratch/PAS2836/laion2b-data/01766.tar::/fs/scratch/PAS2836/laion2b-data/01767.tar::/fs/scratch/PAS2836/laion2b-data/01768.tar::/fs/scratch/PAS2836/laion2b-data/01769.tar::/fs/scratch/PAS2836/laion2b-data/01770.tar::/fs/scratch/PAS2836/laion2b-data/01771.tar::/fs/scratch/PAS2836/laion2b-data/01772.tar::/fs/scratch/PAS2836/laion2b-data/01773.tar::/fs/scratch/PAS2836/laion2b-data/01774.tar::/fs/scratch/PAS2836/laion2b-data/01775.tar::/fs/scratch/PAS2836/laion2b-data/01776.tar::/fs/scratch/PAS2836/laion2b-data/01777.tar::/fs/scratch/PAS2836/laion2b-data/01778.tar::/fs/scratch/PAS2836/laion2b-data/01779.tar::/fs/scratch/PAS2836/laion2b-data/01780.tar::/fs/scratch/PAS2836/laion2b-data/01781.tar::/fs/scratch/PAS2836/laion2b-data/01782.tar::/fs/scratch/PAS2836/laion2b-data/01783.tar::/fs/scratch/PAS2836/laion2b-data/01784.tar::/fs/scratch/PAS2836/laion2b-data/01785.tar::/fs/scratch/PAS2836/laion2b-data/01786.tar::/fs/scratch/PAS2836/laion2b-data/01787.tar::/fs/scratch/PAS2836/laion2b-data/01788.tar::/fs/scratch/PAS2836/laion2b-data/01789.tar::/fs/scratch/PAS2836/laion2b-data/01790.tar::/fs/scratch/PAS2836/laion2b-data/01791.tar::/fs/scratch/PAS2836/laion2b-data/01792.tar::/fs/scratch/PAS2836/laion2b-data/01793.tar::/fs/scratch/PAS2836/laion2b-data/01794.tar::/fs/scratch/PAS2836/laion2b-data/01795.tar::/fs/scratch/PAS2836/laion2b-data/01796.tar::/fs/scratch/PAS2836/laion2b-data/01797.tar::/fs/scratch/PAS2836/laion2b-data/01798.tar::/fs/scratch/PAS2836/laion2b-data/01799.tar::/fs/scratch/PAS2836/laion2b-data/01800.tar::/fs/scratch/PAS2836/laion2b-data/01801.tar::/fs/scratch/PAS2836/laion2b-data/01802.tar::/fs/scratch/PAS2836/laion2b-data/01803.tar::/fs/scratch/PAS2836/laion2b-data/01804.tar::/fs/scratch/PAS2836/laion2b-data/01805.tar::/fs/scratch/PAS2836/laion2b-data/01806.tar::/fs/scratch/PAS2836/laion2b-data/01807.tar::/fs/scratch/PAS2836/laion2b-data/01808.tar::/fs/scratch/PAS2836/laion2b-data/01809.tar::/fs/scratch/PAS2836/laion2b-data/01810.tar::/fs/scratch/PAS2836/laion2b-data/01811.tar::/fs/scratch/PAS2836/laion2b-data/01812.tar::/fs/scratch/PAS2836/laion2b-data/01813.tar::/fs/scratch/PAS2836/laion2b-data/01814.tar::/fs/scratch/PAS2836/laion2b-data/01815.tar::/fs/scratch/PAS2836/laion2b-data/01816.tar::/fs/scratch/PAS2836/laion2b-data/01817.tar::/fs/scratch/PAS2836/laion2b-data/01818.tar::/fs/scratch/PAS2836/laion2b-data/01819.tar::/fs/scratch/PAS2836/laion2b-data/01820.tar::/fs/scratch/PAS2836/laion2b-data/01821.tar::/fs/scratch/PAS2836/laion2b-data/01822.tar::/fs/scratch/PAS2836/laion2b-data/01823.tar::/fs/scratch/PAS2836/laion2b-data/01824.tar::/fs/scratch/PAS2836/laion2b-data/01825.tar::/fs/scratch/PAS2836/laion2b-data/01826.tar::/fs/scratch/PAS2836/laion2b-data/01827.tar::/fs/scratch/PAS2836/laion2b-data/01828.tar::/fs/scratch/PAS2836/laion2b-data/01829.tar::/fs/scratch/PAS2836/laion2b-data/01830.tar::/fs/scratch/PAS2836/laion2b-data/01831.tar::/fs/scratch/PAS2836/laion2b-data/01832.tar::/fs/scratch/PAS2836/laion2b-data/01833.tar::/fs/scratch/PAS2836/laion2b-data/01834.tar::/fs/scratch/PAS2836/laion2b-data/01835.tar::/fs/scratch/PAS2836/laion2b-data/01836.tar::/fs/scratch/PAS2836/laion2b-data/01837.tar::/fs/scratch/PAS2836/laion2b-data/01838.tar::/fs/scratch/PAS2836/laion2b-data/01839.tar::/fs/scratch/PAS2836/laion2b-data/01840.tar::/fs/scratch/PAS2836/laion2b-data/01841.tar::/fs/scratch/PAS2836/laion2b-data/01842.tar::/fs/scratch/PAS2836/laion2b-data/01843.tar::/fs/scratch/PAS2836/laion2b-data/01844.tar::/fs/scratch/PAS2836/laion2b-data/01845.tar::/fs/scratch/PAS2836/laion2b-data/01846.tar::/fs/scratch/PAS2836/laion2b-data/01847.tar::/fs/scratch/PAS2836/laion2b-data/01848.tar::/fs/scratch/PAS2836/laion2b-data/01849.tar::/fs/scratch/PAS2836/laion2b-data/01850.tar::/fs/scratch/PAS2836/laion2b-data/01851.tar::/fs/scratch/PAS2836/laion2b-data/01852.tar::/fs/scratch/PAS2836/laion2b-data/01853.tar::/fs/scratch/PAS2836/laion2b-data/01854.tar::/fs/scratch/PAS2836/laion2b-data/01855.tar::/fs/scratch/PAS2836/laion2b-data/01856.tar::/fs/scratch/PAS2836/laion2b-data/01857.tar::/fs/scratch/PAS2836/laion2b-data/01858.tar::/fs/scratch/PAS2836/laion2b-data/01859.tar::/fs/scratch/PAS2836/laion2b-data/01860.tar::/fs/scratch/PAS2836/laion2b-data/01861.tar::/fs/scratch/PAS2836/laion2b-data/01862.tar::/fs/scratch/PAS2836/laion2b-data/01863.tar::/fs/scratch/PAS2836/laion2b-data/01864.tar::/fs/scratch/PAS2836/laion2b-data/01865.tar::/fs/scratch/PAS2836/laion2b-data/01866.tar::/fs/scratch/PAS2836/laion2b-data/01867.tar::/fs/scratch/PAS2836/laion2b-data/01868.tar::/fs/scratch/PAS2836/laion2b-data/01869.tar::/fs/scratch/PAS2836/laion2b-data/01870.tar::/fs/scratch/PAS2836/laion2b-data/01871.tar::/fs/scratch/PAS2836/laion2b-data/01872.tar::/fs/scratch/PAS2836/laion2b-data/01873.tar::/fs/scratch/PAS2836/laion2b-data/01874.tar::/fs/scratch/PAS2836/laion2b-data/01875.tar::/fs/scratch/PAS2836/laion2b-data/01876.tar::/fs/scratch/PAS2836/laion2b-data/01877.tar::/fs/scratch/PAS2836/laion2b-data/01878.tar::/fs/scratch/PAS2836/laion2b-data/01879.tar::/fs/scratch/PAS2836/laion2b-data/01880.tar::/fs/scratch/PAS2836/laion2b-data/01881.tar::/fs/scratch/PAS2836/laion2b-data/01882.tar::/fs/scratch/PAS2836/laion2b-data/01883.tar::/fs/scratch/PAS2836/laion2b-data/01884.tar::/fs/scratch/PAS2836/laion2b-data/01885.tar::/fs/scratch/PAS2836/laion2b-data/01886.tar::/fs/scratch/PAS2836/laion2b-data/01887.tar::/fs/scratch/PAS2836/laion2b-data/01888.tar::/fs/scratch/PAS2836/laion2b-data/01889.tar::/fs/scratch/PAS2836/laion2b-data/01890.tar::/fs/scratch/PAS2836/laion2b-data/01891.tar::/fs/scratch/PAS2836/laion2b-data/01892.tar::/fs/scratch/PAS2836/laion2b-data/01893.tar::/fs/scratch/PAS2836/laion2b-data/01894.tar::/fs/scratch/PAS2836/laion2b-data/01895.tar::/fs/scratch/PAS2836/laion2b-data/01896.tar::/fs/scratch/PAS2836/laion2b-data/01897.tar::/fs/scratch/PAS2836/laion2b-data/01898.tar::/fs/scratch/PAS2836/laion2b-data/01899.tar::/fs/scratch/PAS2836/laion2b-data/01900.tar::/fs/scratch/PAS2836/laion2b-data/01901.tar::/fs/scratch/PAS2836/laion2b-data/01902.tar::/fs/scratch/PAS2836/laion2b-data/01903.tar::/fs/scratch/PAS2836/laion2b-data/01904.tar::/fs/scratch/PAS2836/laion2b-data/01905.tar::/fs/scratch/PAS2836/laion2b-data/01906.tar::/fs/scratch/PAS2836/laion2b-data/01907.tar::/fs/scratch/PAS2836/laion2b-data/01908.tar::/fs/scratch/PAS2836/laion2b-data/01909.tar::/fs/scratch/PAS2836/laion2b-data/01910.tar::/fs/scratch/PAS2836/laion2b-data/01911.tar::/fs/scratch/PAS2836/laion2b-data/01912.tar::/fs/scratch/PAS2836/laion2b-data/01913.tar::/fs/scratch/PAS2836/laion2b-data/01914.tar::/fs/scratch/PAS2836/laion2b-data/01915.tar::/fs/scratch/PAS2836/laion2b-data/01916.tar::/fs/scratch/PAS2836/laion2b-data/01917.tar::/fs/scratch/PAS2836/laion2b-data/01918.tar::/fs/scratch/PAS2836/laion2b-data/01919.tar::/fs/scratch/PAS2836/laion2b-data/01920.tar::/fs/scratch/PAS2836/laion2b-data/01921.tar::/fs/scratch/PAS2836/laion2b-data/01922.tar::/fs/scratch/PAS2836/laion2b-data/01923.tar::/fs/scratch/PAS2836/laion2b-data/01924.tar::/fs/scratch/PAS2836/laion2b-data/01925.tar::/fs/scratch/PAS2836/laion2b-data/01926.tar::/fs/scratch/PAS2836/laion2b-data/01927.tar::/fs/scratch/PAS2836/laion2b-data/01928.tar::/fs/scratch/PAS2836/laion2b-data/01929.tar::/fs/scratch/PAS2836/laion2b-data/01930.tar::/fs/scratch/PAS2836/laion2b-data/01931.tar::/fs/scratch/PAS2836/laion2b-data/01932.tar::/fs/scratch/PAS2836/laion2b-data/01933.tar::/fs/scratch/PAS2836/laion2b-data/01934.tar::/fs/scratch/PAS2836/laion2b-data/01935.tar::/fs/scratch/PAS2836/laion2b-data/01936.tar::/fs/scratch/PAS2836/laion2b-data/01937.tar::/fs/scratch/PAS2836/laion2b-data/01938.tar::/fs/scratch/PAS2836/laion2b-data/01939.tar::/fs/scratch/PAS2836/laion2b-data/01940.tar::/fs/scratch/PAS2836/laion2b-data/01941.tar::/fs/scratch/PAS2836/laion2b-data/01942.tar::/fs/scratch/PAS2836/laion2b-data/01943.tar::/fs/scratch/PAS2836/laion2b-data/01944.tar::/fs/scratch/PAS2836/laion2b-data/01945.tar::/fs/scratch/PAS2836/laion2b-data/01946.tar::/fs/scratch/PAS2836/laion2b-data/01947.tar::/fs/scratch/PAS2836/laion2b-data/01948.tar::/fs/scratch/PAS2836/laion2b-data/01949.tar::/fs/scratch/PAS2836/laion2b-data/01950.tar::/fs/scratch/PAS2836/laion2b-data/01951.tar::/fs/scratch/PAS2836/laion2b-data/01952.tar::/fs/scratch/PAS2836/laion2b-data/01953.tar::/fs/scratch/PAS2836/laion2b-data/01954.tar::/fs/scratch/PAS2836/laion2b-data/01955.tar::/fs/scratch/PAS2836/laion2b-data/01956.tar::/fs/scratch/PAS2836/laion2b-data/01957.tar::/fs/scratch/PAS2836/laion2b-data/01958.tar::/fs/scratch/PAS2836/laion2b-data/01959.tar::/fs/scratch/PAS2836/laion2b-data/01960.tar::/fs/scratch/PAS2836/laion2b-data/01961.tar::/fs/scratch/PAS2836/laion2b-data/01962.tar::/fs/scratch/PAS2836/laion2b-data/01963.tar::/fs/scratch/PAS2836/laion2b-data/01964.tar::/fs/scratch/PAS2836/laion2b-data/01965.tar::/fs/scratch/PAS2836/laion2b-data/01966.tar::/fs/scratch/PAS2836/laion2b-data/01967.tar::/fs/scratch/PAS2836/laion2b-data/01968.tar::/fs/scratch/PAS2836/laion2b-data/01969.tar::/fs/scratch/PAS2836/laion2b-data/01970.tar::/fs/scratch/PAS2836/laion2b-data/01971.tar::/fs/scratch/PAS2836/laion2b-data/01972.tar::/fs/scratch/PAS2836/laion2b-data/01973.tar::/fs/scratch/PAS2836/laion2b-data/01974.tar::/fs/scratch/PAS2836/laion2b-data/01975.tar::/fs/scratch/PAS2836/laion2b-data/01976.tar::/fs/scratch/PAS2836/laion2b-data/01977.tar::/fs/scratch/PAS2836/laion2b-data/01978.tar::/fs/scratch/PAS2836/laion2b-data/01979.tar::/fs/scratch/PAS2836/laion2b-data/01980.tar::/fs/scratch/PAS2836/laion2b-data/01981.tar::/fs/scratch/PAS2836/laion2b-data/01982.tar::/fs/scratch/PAS2836/laion2b-data/01983.tar::/fs/scratch/PAS2836/laion2b-data/01984.tar::/fs/scratch/PAS2836/laion2b-data/01985.tar::/fs/scratch/PAS2836/laion2b-data/01986.tar::/fs/scratch/PAS2836/laion2b-data/01987.tar::/fs/scratch/PAS2836/laion2b-data/01988.tar::/fs/scratch/PAS2836/laion2b-data/01989.tar::/fs/scratch/PAS2836/laion2b-data/01990.tar::/fs/scratch/PAS2836/laion2b-data/01991.tar::/fs/scratch/PAS2836/laion2b-data/01992.tar::/fs/scratch/PAS2836/laion2b-data/01993.tar::/fs/scratch/PAS2836/laion2b-data/01994.tar::/fs/scratch/PAS2836/laion2b-data/01995.tar::/fs/scratch/PAS2836/laion2b-data/01996.tar::/fs/scratch/PAS2836/laion2b-data/01997.tar::/fs/scratch/PAS2836/laion2b-data/01998.tar::/fs/scratch/PAS2836/laion2b-data/01999.tar::/fs/scratch/PAS2836/laion2b-data/02000.tar::/fs/scratch/PAS2836/laion2b-data/02001.tar::/fs/scratch/PAS2836/laion2b-data/02002.tar::/fs/scratch/PAS2836/laion2b-data/02003.tar::/fs/scratch/PAS2836/laion2b-data/02004.tar::/fs/scratch/PAS2836/laion2b-data/02005.tar::/fs/scratch/PAS2836/laion2b-data/02006.tar::/fs/scratch/PAS2836/laion2b-data/02007.tar::/fs/scratch/PAS2836/laion2b-data/02008.tar::/fs/scratch/PAS2836/laion2b-data/02009.tar::/fs/scratch/PAS2836/laion2b-data/02010.tar::/fs/scratch/PAS2836/laion2b-data/02011.tar::/fs/scratch/PAS2836/laion2b-data/02012.tar::/fs/scratch/PAS2836/laion2b-data/02013.tar::/fs/scratch/PAS2836/laion2b-data/02014.tar::/fs/scratch/PAS2836/laion2b-data/02015.tar::/fs/scratch/PAS2836/laion2b-data/02016.tar::/fs/scratch/PAS2836/laion2b-data/02017.tar::/fs/scratch/PAS2836/laion2b-data/02018.tar::/fs/scratch/PAS2836/laion2b-data/02019.tar::/fs/scratch/PAS2836/laion2b-data/02020.tar::/fs/scratch/PAS2836/laion2b-data/02021.tar::/fs/scratch/PAS2836/laion2b-data/02022.tar::/fs/scratch/PAS2836/laion2b-data/02023.tar::/fs/scratch/PAS2836/laion2b-data/02024.tar::/fs/scratch/PAS2836/laion2b-data/02025.tar::/fs/scratch/PAS2836/laion2b-data/02026.tar::/fs/scratch/PAS2836/laion2b-data/02027.tar::/fs/scratch/PAS2836/laion2b-data/02028.tar::/fs/scratch/PAS2836/laion2b-data/02029.tar::/fs/scratch/PAS2836/laion2b-data/02030.tar::/fs/scratch/PAS2836/laion2b-data/02031.tar::/fs/scratch/PAS2836/laion2b-data/02032.tar::/fs/scratch/PAS2836/laion2b-data/02033.tar::/fs/scratch/PAS2836/laion2b-data/02034.tar::/fs/scratch/PAS2836/laion2b-data/02035.tar::/fs/scratch/PAS2836/laion2b-data/02036.tar::/fs/scratch/PAS2836/laion2b-data/02037.tar::/fs/scratch/PAS2836/laion2b-data/02038.tar::/fs/scratch/PAS2836/laion2b-data/02039.tar::/fs/scratch/PAS2836/laion2b-data/02040.tar::/fs/scratch/PAS2836/laion2b-data/02041.tar::/fs/scratch/PAS2836/laion2b-data/02042.tar::/fs/scratch/PAS2836/laion2b-data/02043.tar::/fs/scratch/PAS2836/laion2b-data/02044.tar::/fs/scratch/PAS2836/laion2b-data/02045.tar::/fs/scratch/PAS2836/laion2b-data/02046.tar::/fs/scratch/PAS2836/laion2b-data/02047.tar::/fs/scratch/PAS2836/laion2b-data/02048.tar::/fs/scratch/PAS2836/laion2b-data/02049.tar::/fs/scratch/PAS2836/laion2b-data/02050.tar::/fs/scratch/PAS2836/laion2b-data/02051.tar::/fs/scratch/PAS2836/laion2b-data/02052.tar::/fs/scratch/PAS2836/laion2b-data/02053.tar::/fs/scratch/PAS2836/laion2b-data/02054.tar::/fs/scratch/PAS2836/laion2b-data/02055.tar::/fs/scratch/PAS2836/laion2b-data/02056.tar::/fs/scratch/PAS2836/laion2b-data/02057.tar::/fs/scratch/PAS2836/laion2b-data/02058.tar::/fs/scratch/PAS2836/laion2b-data/02059.tar::/fs/scratch/PAS2836/laion2b-data/02060.tar::/fs/scratch/PAS2836/laion2b-data/02061.tar::/fs/scratch/PAS2836/laion2b-data/02062.tar::/fs/scratch/PAS2836/laion2b-data/02063.tar::/fs/scratch/PAS2836/laion2b-data/02064.tar::/fs/scratch/PAS2836/laion2b-data/02065.tar::/fs/scratch/PAS2836/laion2b-data/02066.tar::/fs/scratch/PAS2836/laion2b-data/02067.tar::/fs/scratch/PAS2836/laion2b-data/02068.tar::/fs/scratch/PAS2836/laion2b-data/02069.tar::/fs/scratch/PAS2836/laion2b-data/02070.tar::/fs/scratch/PAS2836/laion2b-data/02071.tar::/fs/scratch/PAS2836/laion2b-data/02072.tar::/fs/scratch/PAS2836/laion2b-data/02073.tar::/fs/scratch/PAS2836/laion2b-data/02074.tar::/fs/scratch/PAS2836/laion2b-data/02075.tar::/fs/scratch/PAS2836/laion2b-data/02076.tar::/fs/scratch/PAS2836/laion2b-data/02077.tar::/fs/scratch/PAS2836/laion2b-data/02078.tar::/fs/scratch/PAS2836/laion2b-data/02079.tar::/fs/scratch/PAS2836/laion2b-data/02080.tar::/fs/scratch/PAS2836/laion2b-data/02081.tar::/fs/scratch/PAS2836/laion2b-data/02082.tar::/fs/scratch/PAS2836/laion2b-data/02083.tar::/fs/scratch/PAS2836/laion2b-data/02084.tar::/fs/scratch/PAS2836/laion2b-data/02085.tar::/fs/scratch/PAS2836/laion2b-data/02086.tar::/fs/scratch/PAS2836/laion2b-data/02087.tar::/fs/scratch/PAS2836/laion2b-data/02088.tar::/fs/scratch/PAS2836/laion2b-data/02089.tar::/fs/scratch/PAS2836/laion2b-data/02090.tar::/fs/scratch/PAS2836/laion2b-data/02091.tar::/fs/scratch/PAS2836/laion2b-data/02092.tar::/fs/scratch/PAS2836/laion2b-data/02093.tar::/fs/scratch/PAS2836/laion2b-data/02094.tar::/fs/scratch/PAS2836/laion2b-data/02095.tar::/fs/scratch/PAS2836/laion2b-data/02096.tar::/fs/scratch/PAS2836/laion2b-data/02097.tar::/fs/scratch/PAS2836/laion2b-data/02098.tar::/fs/scratch/PAS2836/laion2b-data/02099.tar::/fs/scratch/PAS2836/laion2b-data/02100.tar::/fs/scratch/PAS2836/laion2b-data/02101.tar::/fs/scratch/PAS2836/laion2b-data/02102.tar::/fs/scratch/PAS2836/laion2b-data/02103.tar::/fs/scratch/PAS2836/laion2b-data/02104.tar::/fs/scratch/PAS2836/laion2b-data/02105.tar::/fs/scratch/PAS2836/laion2b-data/02106.tar::/fs/scratch/PAS2836/laion2b-data/02107.tar::/fs/scratch/PAS2836/laion2b-data/02108.tar::/fs/scratch/PAS2836/laion2b-data/02109.tar::/fs/scratch/PAS2836/laion2b-data/02110.tar::/fs/scratch/PAS2836/laion2b-data/02111.tar::/fs/scratch/PAS2836/laion2b-data/02112.tar::/fs/scratch/PAS2836/laion2b-data/02113.tar::/fs/scratch/PAS2836/laion2b-data/02114.tar::/fs/scratch/PAS2836/laion2b-data/02115.tar::/fs/scratch/PAS2836/laion2b-data/02116.tar::/fs/scratch/PAS2836/laion2b-data/02117.tar::/fs/scratch/PAS2836/laion2b-data/02118.tar::/fs/scratch/PAS2836/laion2b-data/02119.tar::/fs/scratch/PAS2836/laion2b-data/02120.tar::/fs/scratch/PAS2836/laion2b-data/02121.tar::/fs/scratch/PAS2836/laion2b-data/02122.tar::/fs/scratch/PAS2836/laion2b-data/02123.tar::/fs/scratch/PAS2836/laion2b-data/02124.tar::/fs/scratch/PAS2836/laion2b-data/02125.tar::/fs/scratch/PAS2836/laion2b-data/02126.tar::/fs/scratch/PAS2836/laion2b-data/02127.tar::/fs/scratch/PAS2836/laion2b-data/02128.tar::/fs/scratch/PAS2836/laion2b-data/02129.tar::/fs/scratch/PAS2836/laion2b-data/02130.tar::/fs/scratch/PAS2836/laion2b-data/02131.tar::/fs/scratch/PAS2836/laion2b-data/02132.tar::/fs/scratch/PAS2836/laion2b-data/02133.tar::/fs/scratch/PAS2836/laion2b-data/02134.tar::/fs/scratch/PAS2836/laion2b-data/02135.tar::/fs/scratch/PAS2836/laion2b-data/02136.tar::/fs/scratch/PAS2836/laion2b-data/02137.tar::/fs/scratch/PAS2836/laion2b-data/02138.tar::/fs/scratch/PAS2836/laion2b-data/02139.tar::/fs/scratch/PAS2836/laion2b-data/02140.tar::/fs/scratch/PAS2836/laion2b-data/02141.tar::/fs/scratch/PAS2836/laion2b-data/02142.tar::/fs/scratch/PAS2836/laion2b-data/02143.tar::/fs/scratch/PAS2836/laion2b-data/02144.tar::/fs/scratch/PAS2836/laion2b-data/02145.tar::/fs/scratch/PAS2836/laion2b-data/02146.tar::/fs/scratch/PAS2836/laion2b-data/02147.tar::/fs/scratch/PAS2836/laion2b-data/02148.tar::/fs/scratch/PAS2836/laion2b-data/02149.tar::/fs/scratch/PAS2836/laion2b-data/02150.tar::/fs/scratch/PAS2836/laion2b-data/02151.tar::/fs/scratch/PAS2836/laion2b-data/02152.tar::/fs/scratch/PAS2836/laion2b-data/02153.tar::/fs/scratch/PAS2836/laion2b-data/02154.tar::/fs/scratch/PAS2836/laion2b-data/02155.tar::/fs/scratch/PAS2836/laion2b-data/02156.tar::/fs/scratch/PAS2836/laion2b-data/02157.tar::/fs/scratch/PAS2836/laion2b-data/02158.tar::/fs/scratch/PAS2836/laion2b-data/02159.tar::/fs/scratch/PAS2836/laion2b-data/02160.tar::/fs/scratch/PAS2836/laion2b-data/02161.tar::/fs/scratch/PAS2836/laion2b-data/02162.tar::/fs/scratch/PAS2836/laion2b-data/02163.tar::/fs/scratch/PAS2836/laion2b-data/02164.tar::/fs/scratch/PAS2836/laion2b-data/02165.tar::/fs/scratch/PAS2836/laion2b-data/02166.tar::/fs/scratch/PAS2836/laion2b-data/02167.tar::/fs/scratch/PAS2836/laion2b-data/02168.tar::/fs/scratch/PAS2836/laion2b-data/02169.tar::/fs/scratch/PAS2836/laion2b-data/02170.tar::/fs/scratch/PAS2836/laion2b-data/02171.tar::/fs/scratch/PAS2836/laion2b-data/02172.tar::/fs/scratch/PAS2836/laion2b-data/02173.tar::/fs/scratch/PAS2836/laion2b-data/02174.tar::/fs/scratch/PAS2836/laion2b-data/02175.tar::/fs/scratch/PAS2836/laion2b-data/02176.tar::/fs/scratch/PAS2836/laion2b-data/02177.tar::/fs/scratch/PAS2836/laion2b-data/02178.tar::/fs/scratch/PAS2836/laion2b-data/02179.tar::/fs/scratch/PAS2836/laion2b-data/02180.tar::/fs/scratch/PAS2836/laion2b-data/02181.tar::/fs/scratch/PAS2836/laion2b-data/02182.tar::/fs/scratch/PAS2836/laion2b-data/02183.tar::/fs/scratch/PAS2836/laion2b-data/02184.tar::/fs/scratch/PAS2836/laion2b-data/02185.tar::/fs/scratch/PAS2836/laion2b-data/02186.tar::/fs/scratch/PAS2836/laion2b-data/02187.tar::/fs/scratch/PAS2836/laion2b-data/02188.tar::/fs/scratch/PAS2836/laion2b-data/02189.tar::/fs/scratch/PAS2836/laion2b-data/02190.tar::/fs/scratch/PAS2836/laion2b-data/02191.tar::/fs/scratch/PAS2836/laion2b-data/02192.tar::/fs/scratch/PAS2836/laion2b-data/02193.tar::/fs/scratch/PAS2836/laion2b-data/02194.tar::/fs/scratch/PAS2836/laion2b-data/02195.tar::/fs/scratch/PAS2836/laion2b-data/02196.tar::/fs/scratch/PAS2836/laion2b-data/02197.tar::/fs/scratch/PAS2836/laion2b-data/02198.tar::/fs/scratch/PAS2836/laion2b-data/02199.tar::/fs/scratch/PAS2836/laion2b-data/02200.tar::/fs/scratch/PAS2836/laion2b-data/02201.tar::/fs/scratch/PAS2836/laion2b-data/02202.tar::/fs/scratch/PAS2836/laion2b-data/02203.tar::/fs/scratch/PAS2836/laion2b-data/02204.tar::/fs/scratch/PAS2836/laion2b-data/02205.tar::/fs/scratch/PAS2836/laion2b-data/02206.tar::/fs/scratch/PAS2836/laion2b-data/02207.tar::/fs/scratch/PAS2836/laion2b-data/02208.tar::/fs/scratch/PAS2836/laion2b-data/02209.tar::/fs/scratch/PAS2836/laion2b-data/02210.tar::/fs/scratch/PAS2836/laion2b-data/02211.tar::/fs/scratch/PAS2836/laion2b-data/02212.tar::/fs/scratch/PAS2836/laion2b-data/02213.tar::/fs/scratch/PAS2836/laion2b-data/02214.tar::/fs/scratch/PAS2836/laion2b-data/02215.tar::/fs/scratch/PAS2836/laion2b-data/02216.tar::/fs/scratch/PAS2836/laion2b-data/02217.tar::/fs/scratch/PAS2836/laion2b-data/02218.tar::/fs/scratch/PAS2836/laion2b-data/02219.tar::/fs/scratch/PAS2836/laion2b-data/02220.tar::/fs/scratch/PAS2836/laion2b-data/02221.tar::/fs/scratch/PAS2836/laion2b-data/02222.tar::/fs/scratch/PAS2836/laion2b-data/02223.tar::/fs/scratch/PAS2836/laion2b-data/02224.tar::/fs/scratch/PAS2836/laion2b-data/02225.tar::/fs/scratch/PAS2836/laion2b-data/02226.tar::/fs/scratch/PAS2836/laion2b-data/02227.tar::/fs/scratch/PAS2836/laion2b-data/02228.tar::/fs/scratch/PAS2836/laion2b-data/02229.tar::/fs/scratch/PAS2836/laion2b-data/02230.tar::/fs/scratch/PAS2836/laion2b-data/02231.tar::/fs/scratch/PAS2836/laion2b-data/02232.tar::/fs/scratch/PAS2836/laion2b-data/02233.tar::/fs/scratch/PAS2836/laion2b-data/02234.tar::/fs/scratch/PAS2836/laion2b-data/02235.tar::/fs/scratch/PAS2836/laion2b-data/02236.tar::/fs/scratch/PAS2836/laion2b-data/02237.tar::/fs/scratch/PAS2836/laion2b-data/02238.tar::/fs/scratch/PAS2836/laion2b-data/02239.tar::/fs/scratch/PAS2836/laion2b-data/02240.tar::/fs/scratch/PAS2836/laion2b-data/02241.tar::/fs/scratch/PAS2836/laion2b-data/02242.tar::/fs/scratch/PAS2836/laion2b-data/02243.tar::/fs/scratch/PAS2836/laion2b-data/02244.tar::/fs/scratch/PAS2836/laion2b-data/02245.tar::/fs/scratch/PAS2836/laion2b-data/02246.tar::/fs/scratch/PAS2836/laion2b-data/02247.tar::/fs/scratch/PAS2836/laion2b-data/02248.tar::/fs/scratch/PAS2836/laion2b-data/02249.tar::/fs/scratch/PAS2836/laion2b-data/02250.tar::/fs/scratch/PAS2836/laion2b-data/02251.tar::/fs/scratch/PAS2836/laion2b-data/02252.tar::/fs/scratch/PAS2836/laion2b-data/02253.tar::/fs/scratch/PAS2836/laion2b-data/02254.tar::/fs/scratch/PAS2836/laion2b-data/02255.tar::/fs/scratch/PAS2836/laion2b-data/02256.tar::/fs/scratch/PAS2836/laion2b-data/02257.tar::/fs/scratch/PAS2836/laion2b-data/02258.tar::/fs/scratch/PAS2836/laion2b-data/02259.tar::/fs/scratch/PAS2836/laion2b-data/02260.tar::/fs/scratch/PAS2836/laion2b-data/02261.tar::/fs/scratch/PAS2836/laion2b-data/02262.tar::/fs/scratch/PAS2836/laion2b-data/02263.tar::/fs/scratch/PAS2836/laion2b-data/02264.tar::/fs/scratch/PAS2836/laion2b-data/02265.tar::/fs/scratch/PAS2836/laion2b-data/02266.tar::/fs/scratch/PAS2836/laion2b-data/02267.tar::/fs/scratch/PAS2836/laion2b-data/02268.tar::/fs/scratch/PAS2836/laion2b-data/02269.tar::/fs/scratch/PAS2836/laion2b-data/02270.tar::/fs/scratch/PAS2836/laion2b-data/02271.tar::/fs/scratch/PAS2836/laion2b-data/02272.tar::/fs/scratch/PAS2836/laion2b-data/02273.tar::/fs/scratch/PAS2836/laion2b-data/02274.tar::/fs/scratch/PAS2836/laion2b-data/02275.tar::/fs/scratch/PAS2836/laion2b-data/02276.tar::/fs/scratch/PAS2836/laion2b-data/02277.tar::/fs/scratch/PAS2836/laion2b-data/02278.tar::/fs/scratch/PAS2836/laion2b-data/02279.tar::/fs/scratch/PAS2836/laion2b-data/02280.tar::/fs/scratch/PAS2836/laion2b-data/02281.tar::/fs/scratch/PAS2836/laion2b-data/02282.tar::/fs/scratch/PAS2836/laion2b-data/02283.tar::/fs/scratch/PAS2836/laion2b-data/02284.tar::/fs/scratch/PAS2836/laion2b-data/02285.tar::/fs/scratch/PAS2836/laion2b-data/02286.tar::/fs/scratch/PAS2836/laion2b-data/02287.tar::/fs/scratch/PAS2836/laion2b-data/02288.tar::/fs/scratch/PAS2836/laion2b-data/02289.tar::/fs/scratch/PAS2836/laion2b-data/02290.tar::/fs/scratch/PAS2836/laion2b-data/02291.tar::/fs/scratch/PAS2836/laion2b-data/02292.tar::/fs/scratch/PAS2836/laion2b-data/02293.tar::/fs/scratch/PAS2836/laion2b-data/02294.tar::/fs/scratch/PAS2836/laion2b-data/02295.tar::/fs/scratch/PAS2836/laion2b-data/02296.tar::/fs/scratch/PAS2836/laion2b-data/02297.tar::/fs/scratch/PAS2836/laion2b-data/02298.tar::/fs/scratch/PAS2836/laion2b-data/02299.tar::/fs/scratch/PAS2836/laion2b-data/02300.tar::/fs/scratch/PAS2836/laion2b-data/02301.tar::/fs/scratch/PAS2836/laion2b-data/02302.tar::/fs/scratch/PAS2836/laion2b-data/02303.tar::/fs/scratch/PAS2836/laion2b-data/02304.tar::/fs/scratch/PAS2836/laion2b-data/02305.tar::/fs/scratch/PAS2836/laion2b-data/02306.tar::/fs/scratch/PAS2836/laion2b-data/02307.tar::/fs/scratch/PAS2836/laion2b-data/02308.tar::/fs/scratch/PAS2836/laion2b-data/02309.tar::/fs/scratch/PAS2836/laion2b-data/02310.tar::/fs/scratch/PAS2836/laion2b-data/02311.tar::/fs/scratch/PAS2836/laion2b-data/02312.tar::/fs/scratch/PAS2836/laion2b-data/02313.tar::/fs/scratch/PAS2836/laion2b-data/02314.tar::/fs/scratch/PAS2836/laion2b-data/02315.tar::/fs/scratch/PAS2836/laion2b-data/02316.tar::/fs/scratch/PAS2836/laion2b-data/02317.tar::/fs/scratch/PAS2836/laion2b-data/02318.tar::/fs/scratch/PAS2836/laion2b-data/02319.tar::/fs/scratch/PAS2836/laion2b-data/02320.tar::/fs/scratch/PAS2836/laion2b-data/02321.tar::/fs/scratch/PAS2836/laion2b-data/02322.tar::/fs/scratch/PAS2836/laion2b-data/02323.tar::/fs/scratch/PAS2836/laion2b-data/02324.tar::/fs/scratch/PAS2836/laion2b-data/02325.tar::/fs/scratch/PAS2836/laion2b-data/02326.tar::/fs/scratch/PAS2836/laion2b-data/02327.tar::/fs/scratch/PAS2836/laion2b-data/02328.tar::/fs/scratch/PAS2836/laion2b-data/02329.tar::/fs/scratch/PAS2836/laion2b-data/02330.tar::/fs/scratch/PAS2836/laion2b-data/02331.tar::/fs/scratch/PAS2836/laion2b-data/02332.tar::/fs/scratch/PAS2836/laion2b-data/02333.tar::/fs/scratch/PAS2836/laion2b-data/02334.tar::/fs/scratch/PAS2836/laion2b-data/02335.tar::/fs/scratch/PAS2836/laion2b-data/02336.tar::/fs/scratch/PAS2836/laion2b-data/02337.tar::/fs/scratch/PAS2836/laion2b-data/02338.tar::/fs/scratch/PAS2836/laion2b-data/02339.tar::/fs/scratch/PAS2836/laion2b-data/02340.tar::/fs/scratch/PAS2836/laion2b-data/02341.tar::/fs/scratch/PAS2836/laion2b-data/02342.tar::/fs/scratch/PAS2836/laion2b-data/02343.tar::/fs/scratch/PAS2836/laion2b-data/02344.tar::/fs/scratch/PAS2836/laion2b-data/02345.tar::/fs/scratch/PAS2836/laion2b-data/02346.tar::/fs/scratch/PAS2836/laion2b-data/02347.tar::/fs/scratch/PAS2836/laion2b-data/02348.tar::/fs/scratch/PAS2836/laion2b-data/02349.tar::/fs/scratch/PAS2836/laion2b-data/02350.tar::/fs/scratch/PAS2836/laion2b-data/02351.tar::/fs/scratch/PAS2836/laion2b-data/02352.tar::/fs/scratch/PAS2836/laion2b-data/02353.tar::/fs/scratch/PAS2836/laion2b-data/02354.tar::/fs/scratch/PAS2836/laion2b-data/02355.tar::/fs/scratch/PAS2836/laion2b-data/02356.tar::/fs/scratch/PAS2836/laion2b-data/02357.tar::/fs/scratch/PAS2836/laion2b-data/02358.tar::/fs/scratch/PAS2836/laion2b-data/02359.tar::/fs/scratch/PAS2836/laion2b-data/02360.tar::/fs/scratch/PAS2836/laion2b-data/02361.tar::/fs/scratch/PAS2836/laion2b-data/02362.tar::/fs/scratch/PAS2836/laion2b-data/02363.tar::/fs/scratch/PAS2836/laion2b-data/02364.tar::/fs/scratch/PAS2836/laion2b-data/02365.tar::/fs/scratch/PAS2836/laion2b-data/02366.tar::/fs/scratch/PAS2836/laion2b-data/02367.tar::/fs/scratch/PAS2836/laion2b-data/02368.tar::/fs/scratch/PAS2836/laion2b-data/02369.tar::/fs/scratch/PAS2836/laion2b-data/02370.tar::/fs/scratch/PAS2836/laion2b-data/02371.tar::/fs/scratch/PAS2836/laion2b-data/02372.tar::/fs/scratch/PAS2836/laion2b-data/02373.tar::/fs/scratch/PAS2836/laion2b-data/02374.tar::/fs/scratch/PAS2836/laion2b-data/02375.tar::/fs/scratch/PAS2836/laion2b-data/02376.tar::/fs/scratch/PAS2836/laion2b-data/02377.tar::/fs/scratch/PAS2836/laion2b-data/02378.tar::/fs/scratch/PAS2836/laion2b-data/02379.tar::/fs/scratch/PAS2836/laion2b-data/02380.tar::/fs/scratch/PAS2836/laion2b-data/02381.tar::/fs/scratch/PAS2836/laion2b-data/02382.tar::/fs/scratch/PAS2836/laion2b-data/02383.tar::/fs/scratch/PAS2836/laion2b-data/02384.tar::/fs/scratch/PAS2836/laion2b-data/02385.tar::/fs/scratch/PAS2836/laion2b-data/02386.tar::/fs/scratch/PAS2836/laion2b-data/02387.tar::/fs/scratch/PAS2836/laion2b-data/02388.tar::/fs/scratch/PAS2836/laion2b-data/02389.tar::/fs/scratch/PAS2836/laion2b-data/02390.tar::/fs/scratch/PAS2836/laion2b-data/02391.tar::/fs/scratch/PAS2836/laion2b-data/02392.tar::/fs/scratch/PAS2836/laion2b-data/02393.tar::/fs/scratch/PAS2836/laion2b-data/02394.tar::/fs/scratch/PAS2836/laion2b-data/02395.tar::/fs/scratch/PAS2836/laion2b-data/02396.tar::/fs/scratch/PAS2836/laion2b-data/02397.tar::/fs/scratch/PAS2836/laion2b-data/02398.tar::/fs/scratch/PAS2836/laion2b-data/02399.tar::/fs/scratch/PAS2836/laion2b-data/02400.tar::/fs/scratch/PAS2836/laion2b-data/02401.tar::/fs/scratch/PAS2836/laion2b-data/02402.tar::/fs/scratch/PAS2836/laion2b-data/02403.tar::/fs/scratch/PAS2836/laion2b-data/02404.tar::/fs/scratch/PAS2836/laion2b-data/02405.tar::/fs/scratch/PAS2836/laion2b-data/02406.tar::/fs/scratch/PAS2836/laion2b-data/02407.tar::/fs/scratch/PAS2836/laion2b-data/02408.tar::/fs/scratch/PAS2836/laion2b-data/02409.tar::/fs/scratch/PAS2836/laion2b-data/02410.tar::/fs/scratch/PAS2836/laion2b-data/02411.tar::/fs/scratch/PAS2836/laion2b-data/02412.tar::/fs/scratch/PAS2836/laion2b-data/02413.tar::/fs/scratch/PAS2836/laion2b-data/02414.tar::/fs/scratch/PAS2836/laion2b-data/02415.tar::/fs/scratch/PAS2836/laion2b-data/02416.tar::/fs/scratch/PAS2836/laion2b-data/02417.tar::/fs/scratch/PAS2836/laion2b-data/02418.tar::/fs/scratch/PAS2836/laion2b-data/02419.tar::/fs/scratch/PAS2836/laion2b-data/02420.tar::/fs/scratch/PAS2836/laion2b-data/02421.tar::/fs/scratch/PAS2836/laion2b-data/02422.tar::/fs/scratch/PAS2836/laion2b-data/02423.tar::/fs/scratch/PAS2836/laion2b-data/02424.tar::/fs/scratch/PAS2836/laion2b-data/02425.tar::/fs/scratch/PAS2836/laion2b-data/02426.tar::/fs/scratch/PAS2836/laion2b-data/02427.tar::/fs/scratch/PAS2836/laion2b-data/02428.tar::/fs/scratch/PAS2836/laion2b-data/02429.tar::/fs/scratch/PAS2836/laion2b-data/02430.tar::/fs/scratch/PAS2836/laion2b-data/02431.tar::/fs/scratch/PAS2836/laion2b-data/02432.tar::/fs/scratch/PAS2836/laion2b-data/02433.tar::/fs/scratch/PAS2836/laion2b-data/02434.tar::/fs/scratch/PAS2836/laion2b-data/02435.tar::/fs/scratch/PAS2836/laion2b-data/02436.tar::/fs/scratch/PAS2836/laion2b-data/02437.tar::/fs/scratch/PAS2836/laion2b-data/02438.tar::/fs/scratch/PAS2836/laion2b-data/02439.tar::/fs/scratch/PAS2836/laion2b-data/02440.tar::/fs/scratch/PAS2836/laion2b-data/02441.tar::/fs/scratch/PAS2836/laion2b-data/02442.tar::/fs/scratch/PAS2836/laion2b-data/02443.tar::/fs/scratch/PAS2836/laion2b-data/02444.tar::/fs/scratch/PAS2836/laion2b-data/02445.tar::/fs/scratch/PAS2836/laion2b-data/02446.tar::/fs/scratch/PAS2836/laion2b-data/02447.tar::/fs/scratch/PAS2836/laion2b-data/02448.tar::/fs/scratch/PAS2836/laion2b-data/02449.tar::/fs/scratch/PAS2836/laion2b-data/02450.tar::/fs/scratch/PAS2836/laion2b-data/02451.tar::/fs/scratch/PAS2836/laion2b-data/02452.tar::/fs/scratch/PAS2836/laion2b-data/02453.tar::/fs/scratch/PAS2836/laion2b-data/02454.tar::/fs/scratch/PAS2836/laion2b-data/02455.tar::/fs/scratch/PAS2836/laion2b-data/02456.tar::/fs/scratch/PAS2836/laion2b-data/02457.tar::/fs/scratch/PAS2836/laion2b-data/02458.tar::/fs/scratch/PAS2836/laion2b-data/02459.tar::/fs/scratch/PAS2836/laion2b-data/02460.tar::/fs/scratch/PAS2836/laion2b-data/02461.tar::/fs/scratch/PAS2836/laion2b-data/02462.tar::/fs/scratch/PAS2836/laion2b-data/02463.tar::/fs/scratch/PAS2836/laion2b-data/02464.tar::/fs/scratch/PAS2836/laion2b-data/02465.tar::/fs/scratch/PAS2836/laion2b-data/02466.tar::/fs/scratch/PAS2836/laion2b-data/02467.tar::/fs/scratch/PAS2836/laion2b-data/02468.tar::/fs/scratch/PAS2836/laion2b-data/02469.tar::/fs/scratch/PAS2836/laion2b-data/02470.tar::/fs/scratch/PAS2836/laion2b-data/02471.tar::/fs/scratch/PAS2836/laion2b-data/02472.tar::/fs/scratch/PAS2836/laion2b-data/02473.tar::/fs/scratch/PAS2836/laion2b-data/02474.tar::/fs/scratch/PAS2836/laion2b-data/02475.tar::/fs/scratch/PAS2836/laion2b-data/02476.tar::/fs/scratch/PAS2836/laion2b-data/02477.tar::/fs/scratch/PAS2836/laion2b-data/02478.tar::/fs/scratch/PAS2836/laion2b-data/02479.tar::/fs/scratch/PAS2836/laion2b-data/02480.tar::/fs/scratch/PAS2836/laion2b-data/02481.tar::/fs/scratch/PAS2836/laion2b-data/02482.tar::/fs/scratch/PAS2836/laion2b-data/02483.tar::/fs/scratch/PAS2836/laion2b-data/02484.tar::/fs/scratch/PAS2836/laion2b-data/02485.tar::/fs/scratch/PAS2836/laion2b-data/02486.tar::/fs/scratch/PAS2836/laion2b-data/02487.tar::/fs/scratch/PAS2836/laion2b-data/02488.tar::/fs/scratch/PAS2836/laion2b-data/02489.tar::/fs/scratch/PAS2836/laion2b-data/02490.tar::/fs/scratch/PAS2836/laion2b-data/02491.tar::/fs/scratch/PAS2836/laion2b-data/02492.tar::/fs/scratch/PAS2836/laion2b-data/02493.tar::/fs/scratch/PAS2836/laion2b-data/02494.tar::/fs/scratch/PAS2836/laion2b-data/02495.tar::/fs/scratch/PAS2836/laion2b-data/02496.tar::/fs/scratch/PAS2836/laion2b-data/02497.tar::/fs/scratch/PAS2836/laion2b-data/02498.tar::/fs/scratch/PAS2836/laion2b-data/02499.tar::/fs/scratch/PAS2836/laion2b-data/02500.tar::/fs/scratch/PAS2836/laion2b-data/02501.tar::/fs/scratch/PAS2836/laion2b-data/02502.tar::/fs/scratch/PAS2836/laion2b-data/02503.tar::/fs/scratch/PAS2836/laion2b-data/02504.tar::/fs/scratch/PAS2836/laion2b-data/02505.tar::/fs/scratch/PAS2836/laion2b-data/02506.tar::/fs/scratch/PAS2836/laion2b-data/02507.tar::/fs/scratch/PAS2836/laion2b-data/02508.tar::/fs/scratch/PAS2836/laion2b-data/02509.tar::/fs/scratch/PAS2836/laion2b-data/02510.tar::/fs/scratch/PAS2836/laion2b-data/02511.tar::/fs/scratch/PAS2836/laion2b-data/02512.tar::/fs/scratch/PAS2836/laion2b-data/02513.tar::/fs/scratch/PAS2836/laion2b-data/02514.tar::/fs/scratch/PAS2836/laion2b-data/02515.tar::/fs/scratch/PAS2836/laion2b-data/02516.tar::/fs/scratch/PAS2836/laion2b-data/02517.tar::/fs/scratch/PAS2836/laion2b-data/02518.tar::/fs/scratch/PAS2836/laion2b-data/02519.tar::/fs/scratch/PAS2836/laion2b-data/02520.tar::/fs/scratch/PAS2836/laion2b-data/02521.tar::/fs/scratch/PAS2836/laion2b-data/02522.tar::/fs/scratch/PAS2836/laion2b-data/02523.tar::/fs/scratch/PAS2836/laion2b-data/02524.tar::/fs/scratch/PAS2836/laion2b-data/02525.tar::/fs/scratch/PAS2836/laion2b-data/02526.tar::/fs/scratch/PAS2836/laion2b-data/02527.tar::/fs/scratch/PAS2836/laion2b-data/02528.tar::/fs/scratch/PAS2836/laion2b-data/02529.tar::/fs/scratch/PAS2836/laion2b-data/02530.tar::/fs/scratch/PAS2836/laion2b-data/02531.tar::/fs/scratch/PAS2836/laion2b-data/02532.tar::/fs/scratch/PAS2836/laion2b-data/02533.tar::/fs/scratch/PAS2836/laion2b-data/02534.tar::/fs/scratch/PAS2836/laion2b-data/02535.tar::/fs/scratch/PAS2836/laion2b-data/02536.tar::/fs/scratch/PAS2836/laion2b-data/02537.tar::/fs/scratch/PAS2836/laion2b-data/02538.tar::/fs/scratch/PAS2836/laion2b-data/02539.tar::/fs/scratch/PAS2836/laion2b-data/02540.tar::/fs/scratch/PAS2836/laion2b-data/02541.tar::/fs/scratch/PAS2836/laion2b-data/02542.tar::/fs/scratch/PAS2836/laion2b-data/02543.tar::/fs/scratch/PAS2836/laion2b-data/02544.tar::/fs/scratch/PAS2836/laion2b-data/02545.tar::/fs/scratch/PAS2836/laion2b-data/02546.tar::/fs/scratch/PAS2836/laion2b-data/02547.tar::/fs/scratch/PAS2836/laion2b-data/02548.tar::/fs/scratch/PAS2836/laion2b-data/02549.tar::/fs/scratch/PAS2836/laion2b-data/02550.tar::/fs/scratch/PAS2836/laion2b-data/02551.tar::/fs/scratch/PAS2836/laion2b-data/02552.tar::/fs/scratch/PAS2836/laion2b-data/02553.tar::/fs/scratch/PAS2836/laion2b-data/02554.tar::/fs/scratch/PAS2836/laion2b-data/02555.tar::/fs/scratch/PAS2836/laion2b-data/02556.tar::/fs/scratch/PAS2836/laion2b-data/02557.tar::/fs/scratch/PAS2836/laion2b-data/02558.tar::/fs/scratch/PAS2836/laion2b-data/02559.tar::/fs/scratch/PAS2836/laion2b-data/02560.tar::/fs/scratch/PAS2836/laion2b-data/02561.tar::/fs/scratch/PAS2836/laion2b-data/02562.tar::/fs/scratch/PAS2836/laion2b-data/02563.tar::/fs/scratch/PAS2836/laion2b-data/02564.tar::/fs/scratch/PAS2836/laion2b-data/02565.tar::/fs/scratch/PAS2836/laion2b-data/02566.tar::/fs/scratch/PAS2836/laion2b-data/02567.tar::/fs/scratch/PAS2836/laion2b-data/02568.tar::/fs/scratch/PAS2836/laion2b-data/02569.tar::/fs/scratch/PAS2836/laion2b-data/02570.tar::/fs/scratch/PAS2836/laion2b-data/02571.tar::/fs/scratch/PAS2836/laion2b-data/02572.tar::/fs/scratch/PAS2836/laion2b-data/02573.tar::/fs/scratch/PAS2836/laion2b-data/02574.tar::/fs/scratch/PAS2836/laion2b-data/02575.tar::/fs/scratch/PAS2836/laion2b-data/02576.tar::/fs/scratch/PAS2836/laion2b-data/02577.tar::/fs/scratch/PAS2836/laion2b-data/02578.tar::/fs/scratch/PAS2836/laion2b-data/02579.tar::/fs/scratch/PAS2836/laion2b-data/02580.tar::/fs/scratch/PAS2836/laion2b-data/02581.tar::/fs/scratch/PAS2836/laion2b-data/02582.tar::/fs/scratch/PAS2836/laion2b-data/02583.tar::/fs/scratch/PAS2836/laion2b-data/02584.tar::/fs/scratch/PAS2836/laion2b-data/02585.tar::/fs/scratch/PAS2836/laion2b-data/02586.tar::/fs/scratch/PAS2836/laion2b-data/02587.tar::/fs/scratch/PAS2836/laion2b-data/02588.tar::/fs/scratch/PAS2836/laion2b-data/02589.tar::/fs/scratch/PAS2836/laion2b-data/02590.tar::/fs/scratch/PAS2836/laion2b-data/02591.tar::/fs/scratch/PAS2836/laion2b-data/02592.tar::/fs/scratch/PAS2836/laion2b-data/02593.tar::/fs/scratch/PAS2836/laion2b-data/02594.tar::/fs/scratch/PAS2836/laion2b-data/02595.tar::/fs/scratch/PAS2836/laion2b-data/02596.tar::/fs/scratch/PAS2836/laion2b-data/02597.tar::/fs/scratch/PAS2836/laion2b-data/02598.tar::/fs/scratch/PAS2836/laion2b-data/02599.tar::/fs/scratch/PAS2836/laion2b-data/02600.tar::/fs/scratch/PAS2836/laion2b-data/02601.tar::/fs/scratch/PAS2836/laion2b-data/02602.tar::/fs/scratch/PAS2836/laion2b-data/02603.tar::/fs/scratch/PAS2836/laion2b-data/02604.tar::/fs/scratch/PAS2836/laion2b-data/02605.tar::/fs/scratch/PAS2836/laion2b-data/02606.tar::/fs/scratch/PAS2836/laion2b-data/02607.tar::/fs/scratch/PAS2836/laion2b-data/02608.tar::/fs/scratch/PAS2836/laion2b-data/02609.tar::/fs/scratch/PAS2836/laion2b-data/02610.tar::/fs/scratch/PAS2836/laion2b-data/02611.tar::/fs/scratch/PAS2836/laion2b-data/02612.tar::/fs/scratch/PAS2836/laion2b-data/02613.tar::/fs/scratch/PAS2836/laion2b-data/02614.tar::/fs/scratch/PAS2836/laion2b-data/02615.tar::/fs/scratch/PAS2836/laion2b-data/02616.tar::/fs/scratch/PAS2836/laion2b-data/02617.tar::/fs/scratch/PAS2836/laion2b-data/02618.tar::/fs/scratch/PAS2836/laion2b-data/02619.tar::/fs/scratch/PAS2836/laion2b-data/02620.tar::/fs/scratch/PAS2836/laion2b-data/02621.tar::/fs/scratch/PAS2836/laion2b-data/02622.tar::/fs/scratch/PAS2836/laion2b-data/02623.tar::/fs/scratch/PAS2836/laion2b-data/02624.tar::/fs/scratch/PAS2836/laion2b-data/02625.tar::/fs/scratch/PAS2836/laion2b-data/02626.tar::/fs/scratch/PAS2836/laion2b-data/02627.tar::/fs/scratch/PAS2836/laion2b-data/02628.tar::/fs/scratch/PAS2836/laion2b-data/02629.tar::/fs/scratch/PAS2836/laion2b-data/02630.tar::/fs/scratch/PAS2836/laion2b-data/02631.tar::/fs/scratch/PAS2836/laion2b-data/02632.tar::/fs/scratch/PAS2836/laion2b-data/02633.tar::/fs/scratch/PAS2836/laion2b-data/02634.tar::/fs/scratch/PAS2836/laion2b-data/02635.tar::/fs/scratch/PAS2836/laion2b-data/02636.tar::/fs/scratch/PAS2836/laion2b-data/02637.tar::/fs/scratch/PAS2836/laion2b-data/02638.tar::/fs/scratch/PAS2836/laion2b-data/02639.tar::/fs/scratch/PAS2836/laion2b-data/02640.tar::/fs/scratch/PAS2836/laion2b-data/02641.tar::/fs/scratch/PAS2836/laion2b-data/02642.tar::/fs/scratch/PAS2836/laion2b-data/02643.tar::/fs/scratch/PAS2836/laion2b-data/02644.tar::/fs/scratch/PAS2836/laion2b-data/02645.tar::/fs/scratch/PAS2836/laion2b-data/02646.tar::/fs/scratch/PAS2836/laion2b-data/02647.tar::/fs/scratch/PAS2836/laion2b-data/02648.tar::/fs/scratch/PAS2836/laion2b-data/02649.tar::/fs/scratch/PAS2836/laion2b-data/02650.tar::/fs/scratch/PAS2836/laion2b-data/02651.tar::/fs/scratch/PAS2836/laion2b-data/02652.tar::/fs/scratch/PAS2836/laion2b-data/02653.tar::/fs/scratch/PAS2836/laion2b-data/02654.tar::/fs/scratch/PAS2836/laion2b-data/02655.tar::/fs/scratch/PAS2836/laion2b-data/02656.tar::/fs/scratch/PAS2836/laion2b-data/02657.tar::/fs/scratch/PAS2836/laion2b-data/02658.tar::/fs/scratch/PAS2836/laion2b-data/02659.tar::/fs/scratch/PAS2836/laion2b-data/02660.tar::/fs/scratch/PAS2836/laion2b-data/02661.tar::/fs/scratch/PAS2836/laion2b-data/02662.tar::/fs/scratch/PAS2836/laion2b-data/02663.tar::/fs/scratch/PAS2836/laion2b-data/02664.tar::/fs/scratch/PAS2836/laion2b-data/02665.tar::/fs/scratch/PAS2836/laion2b-data/02666.tar::/fs/scratch/PAS2836/laion2b-data/02667.tar::/fs/scratch/PAS2836/laion2b-data/02668.tar::/fs/scratch/PAS2836/laion2b-data/02669.tar::/fs/scratch/PAS2836/laion2b-data/02670.tar::/fs/scratch/PAS2836/laion2b-data/02671.tar::/fs/scratch/PAS2836/laion2b-data/02672.tar::/fs/scratch/PAS2836/laion2b-data/02673.tar::/fs/scratch/PAS2836/laion2b-data/02674.tar::/fs/scratch/PAS2836/laion2b-data/02675.tar::/fs/scratch/PAS2836/laion2b-data/02676.tar::/fs/scratch/PAS2836/laion2b-data/02677.tar::/fs/scratch/PAS2836/laion2b-data/02678.tar::/fs/scratch/PAS2836/laion2b-data/02679.tar::/fs/scratch/PAS2836/laion2b-data/02680.tar::/fs/scratch/PAS2836/laion2b-data/02681.tar::/fs/scratch/PAS2836/laion2b-data/02682.tar::/fs/scratch/PAS2836/laion2b-data/02683.tar::/fs/scratch/PAS2836/laion2b-data/02684.tar::/fs/scratch/PAS2836/laion2b-data/02685.tar::/fs/scratch/PAS2836/laion2b-data/02686.tar::/fs/scratch/PAS2836/laion2b-data/02687.tar::/fs/scratch/PAS2836/laion2b-data/02688.tar::/fs/scratch/PAS2836/laion2b-data/02689.tar::/fs/scratch/PAS2836/laion2b-data/02690.tar::/fs/scratch/PAS2836/laion2b-data/02691.tar::/fs/scratch/PAS2836/laion2b-data/02692.tar::/fs/scratch/PAS2836/laion2b-data/02693.tar::/fs/scratch/PAS2836/laion2b-data/02694.tar::/fs/scratch/PAS2836/laion2b-data/02695.tar::/fs/scratch/PAS2836/laion2b-data/02696.tar::/fs/scratch/PAS2836/laion2b-data/02697.tar::/fs/scratch/PAS2836/laion2b-data/02698.tar::/fs/scratch/PAS2836/laion2b-data/02699.tar::/fs/scratch/PAS2836/laion2b-data/02700.tar::/fs/scratch/PAS2836/laion2b-data/02701.tar::/fs/scratch/PAS2836/laion2b-data/02702.tar::/fs/scratch/PAS2836/laion2b-data/02703.tar::/fs/scratch/PAS2836/laion2b-data/02704.tar::/fs/scratch/PAS2836/laion2b-data/02705.tar::/fs/scratch/PAS2836/laion2b-data/02706.tar::/fs/scratch/PAS2836/laion2b-data/02707.tar::/fs/scratch/PAS2836/laion2b-data/02708.tar::/fs/scratch/PAS2836/laion2b-data/02709.tar::/fs/scratch/PAS2836/laion2b-data/02710.tar::/fs/scratch/PAS2836/laion2b-data/02711.tar::/fs/scratch/PAS2836/laion2b-data/02712.tar::/fs/scratch/PAS2836/laion2b-data/02713.tar::/fs/scratch/PAS2836/laion2b-data/02714.tar::/fs/scratch/PAS2836/laion2b-data/02715.tar::/fs/scratch/PAS2836/laion2b-data/02716.tar::/fs/scratch/PAS2836/laion2b-data/02717.tar::/fs/scratch/PAS2836/laion2b-data/02718.tar::/fs/scratch/PAS2836/laion2b-data/02719.tar::/fs/scratch/PAS2836/laion2b-data/02720.tar::/fs/scratch/PAS2836/laion2b-data/02721.tar::/fs/scratch/PAS2836/laion2b-data/02722.tar::/fs/scratch/PAS2836/laion2b-data/02723.tar::/fs/scratch/PAS2836/laion2b-data/02724.tar::/fs/scratch/PAS2836/laion2b-data/02725.tar::/fs/scratch/PAS2836/laion2b-data/02726.tar::/fs/scratch/PAS2836/laion2b-data/02727.tar::/fs/scratch/PAS2836/laion2b-data/02728.tar::/fs/scratch/PAS2836/laion2b-data/02729.tar::/fs/scratch/PAS2836/laion2b-data/02730.tar::/fs/scratch/PAS2836/laion2b-data/02731.tar::/fs/scratch/PAS2836/laion2b-data/02732.tar::/fs/scratch/PAS2836/laion2b-data/02733.tar::/fs/scratch/PAS2836/laion2b-data/02734.tar::/fs/scratch/PAS2836/laion2b-data/02735.tar::/fs/scratch/PAS2836/laion2b-data/02736.tar::/fs/scratch/PAS2836/laion2b-data/02737.tar::/fs/scratch/PAS2836/laion2b-data/02738.tar::/fs/scratch/PAS2836/laion2b-data/02739.tar::/fs/scratch/PAS2836/laion2b-data/02740.tar::/fs/scratch/PAS2836/laion2b-data/02741.tar::/fs/scratch/PAS2836/laion2b-data/02742.tar::/fs/scratch/PAS2836/laion2b-data/02743.tar::/fs/scratch/PAS2836/laion2b-data/02744.tar::/fs/scratch/PAS2836/laion2b-data/02745.tar::/fs/scratch/PAS2836/laion2b-data/02746.tar::/fs/scratch/PAS2836/laion2b-data/02747.tar::/fs/scratch/PAS2836/laion2b-data/02748.tar::/fs/scratch/PAS2836/laion2b-data/02749.tar::/fs/scratch/PAS2836/laion2b-data/02750.tar::/fs/scratch/PAS2836/laion2b-data/02751.tar::/fs/scratch/PAS2836/laion2b-data/02752.tar::/fs/scratch/PAS2836/laion2b-data/02753.tar::/fs/scratch/PAS2836/laion2b-data/02754.tar::/fs/scratch/PAS2836/laion2b-data/02755.tar::/fs/scratch/PAS2836/laion2b-data/02756.tar::/fs/scratch/PAS2836/laion2b-data/02757.tar::/fs/scratch/PAS2836/laion2b-data/02758.tar::/fs/scratch/PAS2836/laion2b-data/02759.tar::/fs/scratch/PAS2836/laion2b-data/02760.tar::/fs/scratch/PAS2836/laion2b-data/02761.tar::/fs/scratch/PAS2836/laion2b-data/02762.tar::/fs/scratch/PAS2836/laion2b-data/02763.tar::/fs/scratch/PAS2836/laion2b-data/02764.tar::/fs/scratch/PAS2836/laion2b-data/02765.tar::/fs/scratch/PAS2836/laion2b-data/02766.tar::/fs/scratch/PAS2836/laion2b-data/02767.tar::/fs/scratch/PAS2836/laion2b-data/02768.tar::/fs/scratch/PAS2836/laion2b-data/02769.tar::/fs/scratch/PAS2836/laion2b-data/02770.tar::/fs/scratch/PAS2836/laion2b-data/02771.tar::/fs/scratch/PAS2836/laion2b-data/02772.tar::/fs/scratch/PAS2836/laion2b-data/02773.tar::/fs/scratch/PAS2836/laion2b-data/02774.tar::/fs/scratch/PAS2836/laion2b-data/02775.tar::/fs/scratch/PAS2836/laion2b-data/02776.tar::/fs/scratch/PAS2836/laion2b-data/02777.tar::/fs/scratch/PAS2836/laion2b-data/02778.tar::/fs/scratch/PAS2836/laion2b-data/02779.tar::/fs/scratch/PAS2836/laion2b-data/02780.tar::/fs/scratch/PAS2836/laion2b-data/02781.tar::/fs/scratch/PAS2836/laion2b-data/02782.tar::/fs/scratch/PAS2836/laion2b-data/02783.tar::/fs/scratch/PAS2836/laion2b-data/02784.tar::/fs/scratch/PAS2836/laion2b-data/02785.tar::/fs/scratch/PAS2836/laion2b-data/02786.tar::/fs/scratch/PAS2836/laion2b-data/02787.tar::/fs/scratch/PAS2836/laion2b-data/02788.tar::/fs/scratch/PAS2836/laion2b-data/02789.tar::/fs/scratch/PAS2836/laion2b-data/02790.tar::/fs/scratch/PAS2836/laion2b-data/02791.tar::/fs/scratch/PAS2836/laion2b-data/02792.tar::/fs/scratch/PAS2836/laion2b-data/02793.tar::/fs/scratch/PAS2836/laion2b-data/02794.tar::/fs/scratch/PAS2836/laion2b-data/02795.tar::/fs/scratch/PAS2836/laion2b-data/02796.tar::/fs/scratch/PAS2836/laion2b-data/02797.tar::/fs/scratch/PAS2836/laion2b-data/02798.tar::/fs/scratch/PAS2836/laion2b-data/02799.tar::/fs/scratch/PAS2836/laion2b-data/02800.tar::/fs/scratch/PAS2836/laion2b-data/02801.tar::/fs/scratch/PAS2836/laion2b-data/02802.tar::/fs/scratch/PAS2836/laion2b-data/02803.tar::/fs/scratch/PAS2836/laion2b-data/02804.tar::/fs/scratch/PAS2836/laion2b-data/02805.tar::/fs/scratch/PAS2836/laion2b-data/02806.tar::/fs/scratch/PAS2836/laion2b-data/02807.tar::/fs/scratch/PAS2836/laion2b-data/02808.tar::/fs/scratch/PAS2836/laion2b-data/02809.tar::/fs/scratch/PAS2836/laion2b-data/02810.tar::/fs/scratch/PAS2836/laion2b-data/02811.tar::/fs/scratch/PAS2836/laion2b-data/02812.tar::/fs/scratch/PAS2836/laion2b-data/02813.tar::/fs/scratch/PAS2836/laion2b-data/02814.tar::/fs/scratch/PAS2836/laion2b-data/02815.tar::/fs/scratch/PAS2836/laion2b-data/02816.tar::/fs/scratch/PAS2836/laion2b-data/02817.tar::/fs/scratch/PAS2836/laion2b-data/02818.tar::/fs/scratch/PAS2836/laion2b-data/02819.tar::/fs/scratch/PAS2836/laion2b-data/02820.tar::/fs/scratch/PAS2836/laion2b-data/02821.tar::/fs/scratch/PAS2836/laion2b-data/02822.tar::/fs/scratch/PAS2836/laion2b-data/02823.tar::/fs/scratch/PAS2836/laion2b-data/02824.tar::/fs/scratch/PAS2836/laion2b-data/02825.tar::/fs/scratch/PAS2836/laion2b-data/02826.tar::/fs/scratch/PAS2836/laion2b-data/02827.tar::/fs/scratch/PAS2836/laion2b-data/02828.tar::/fs/scratch/PAS2836/laion2b-data/02829.tar::/fs/scratch/PAS2836/laion2b-data/02830.tar::/fs/scratch/PAS2836/laion2b-data/02831.tar::/fs/scratch/PAS2836/laion2b-data/02832.tar::/fs/scratch/PAS2836/laion2b-data/02833.tar::/fs/scratch/PAS2836/laion2b-data/02834.tar::/fs/scratch/PAS2836/laion2b-data/02835.tar::/fs/scratch/PAS2836/laion2b-data/02836.tar::/fs/scratch/PAS2836/laion2b-data/02837.tar::/fs/scratch/PAS2836/laion2b-data/02838.tar::/fs/scratch/PAS2836/laion2b-data/02839.tar::/fs/scratch/PAS2836/laion2b-data/02840.tar::/fs/scratch/PAS2836/laion2b-data/02841.tar::/fs/scratch/PAS2836/laion2b-data/02842.tar::/fs/scratch/PAS2836/laion2b-data/02843.tar::/fs/scratch/PAS2836/laion2b-data/02844.tar::/fs/scratch/PAS2836/laion2b-data/02845.tar::/fs/scratch/PAS2836/laion2b-data/02846.tar::/fs/scratch/PAS2836/laion2b-data/02847.tar::/fs/scratch/PAS2836/laion2b-data/02848.tar::/fs/scratch/PAS2836/laion2b-data/02849.tar::/fs/scratch/PAS2836/laion2b-data/02850.tar::/fs/scratch/PAS2836/laion2b-data/02851.tar::/fs/scratch/PAS2836/laion2b-data/02852.tar::/fs/scratch/PAS2836/laion2b-data/02853.tar::/fs/scratch/PAS2836/laion2b-data/02854.tar::/fs/scratch/PAS2836/laion2b-data/02855.tar::/fs/scratch/PAS2836/laion2b-data/02856.tar::/fs/scratch/PAS2836/laion2b-data/02857.tar::/fs/scratch/PAS2836/laion2b-data/02858.tar::/fs/scratch/PAS2836/laion2b-data/02859.tar::/fs/scratch/PAS2836/laion2b-data/02860.tar::/fs/scratch/PAS2836/laion2b-data/02861.tar::/fs/scratch/PAS2836/laion2b-data/02862.tar::/fs/scratch/PAS2836/laion2b-data/02863.tar::/fs/scratch/PAS2836/laion2b-data/02864.tar::/fs/scratch/PAS2836/laion2b-data/02865.tar::/fs/scratch/PAS2836/laion2b-data/02866.tar::/fs/scratch/PAS2836/laion2b-data/02867.tar::/fs/scratch/PAS2836/laion2b-data/02868.tar::/fs/scratch/PAS2836/laion2b-data/02869.tar::/fs/scratch/PAS2836/laion2b-data/02870.tar::/fs/scratch/PAS2836/laion2b-data/02871.tar::/fs/scratch/PAS2836/laion2b-data/02872.tar::/fs/scratch/PAS2836/laion2b-data/02873.tar::/fs/scratch/PAS2836/laion2b-data/02874.tar::/fs/scratch/PAS2836/laion2b-data/02875.tar::/fs/scratch/PAS2836/laion2b-data/02876.tar::/fs/scratch/PAS2836/laion2b-data/02877.tar::/fs/scratch/PAS2836/laion2b-data/02878.tar::/fs/scratch/PAS2836/laion2b-data/02879.tar::/fs/scratch/PAS2836/laion2b-data/02880.tar::/fs/scratch/PAS2836/laion2b-data/02881.tar::/fs/scratch/PAS2836/laion2b-data/02882.tar::/fs/scratch/PAS2836/laion2b-data/02883.tar::/fs/scratch/PAS2836/laion2b-data/02884.tar::/fs/scratch/PAS2836/laion2b-data/02885.tar::/fs/scratch/PAS2836/laion2b-data/02886.tar::/fs/scratch/PAS2836/laion2b-data/02887.tar::/fs/scratch/PAS2836/laion2b-data/02888.tar::/fs/scratch/PAS2836/laion2b-data/02889.tar::/fs/scratch/PAS2836/laion2b-data/02890.tar::/fs/scratch/PAS2836/laion2b-data/02891.tar::/fs/scratch/PAS2836/laion2b-data/02892.tar::/fs/scratch/PAS2836/laion2b-data/02893.tar::/fs/scratch/PAS2836/laion2b-data/02894.tar::/fs/scratch/PAS2836/laion2b-data/02895.tar::/fs/scratch/PAS2836/laion2b-data/02896.tar::/fs/scratch/PAS2836/laion2b-data/02897.tar::/fs/scratch/PAS2836/laion2b-data/02898.tar::/fs/scratch/PAS2836/laion2b-data/02899.tar::/fs/scratch/PAS2836/laion2b-data/02900.tar::/fs/scratch/PAS2836/laion2b-data/02901.tar::/fs/scratch/PAS2836/laion2b-data/02902.tar::/fs/scratch/PAS2836/laion2b-data/02903.tar::/fs/scratch/PAS2836/laion2b-data/02904.tar::/fs/scratch/PAS2836/laion2b-data/02905.tar::/fs/scratch/PAS2836/laion2b-data/02906.tar::/fs/scratch/PAS2836/laion2b-data/02907.tar::/fs/scratch/PAS2836/laion2b-data/02908.tar::/fs/scratch/PAS2836/laion2b-data/02909.tar::/fs/scratch/PAS2836/laion2b-data/02910.tar::/fs/scratch/PAS2836/laion2b-data/02911.tar::/fs/scratch/PAS2836/laion2b-data/02912.tar::/fs/scratch/PAS2836/laion2b-data/02913.tar::/fs/scratch/PAS2836/laion2b-data/02914.tar::/fs/scratch/PAS2836/laion2b-data/02915.tar::/fs/scratch/PAS2836/laion2b-data/02916.tar::/fs/scratch/PAS2836/laion2b-data/02917.tar::/fs/scratch/PAS2836/laion2b-data/02918.tar::/fs/scratch/PAS2836/laion2b-data/02919.tar::/fs/scratch/PAS2836/laion2b-data/02920.tar::/fs/scratch/PAS2836/laion2b-data/02921.tar::/fs/scratch/PAS2836/laion2b-data/02922.tar::/fs/scratch/PAS2836/laion2b-data/02923.tar::/fs/scratch/PAS2836/laion2b-data/02924.tar::/fs/scratch/PAS2836/laion2b-data/02925.tar::/fs/scratch/PAS2836/laion2b-data/02926.tar::/fs/scratch/PAS2836/laion2b-data/02927.tar::/fs/scratch/PAS2836/laion2b-data/02928.tar::/fs/scratch/PAS2836/laion2b-data/02929.tar::/fs/scratch/PAS2836/laion2b-data/02930.tar::/fs/scratch/PAS2836/laion2b-data/02931.tar::/fs/scratch/PAS2836/laion2b-data/02932.tar::/fs/scratch/PAS2836/laion2b-data/02933.tar::/fs/scratch/PAS2836/laion2b-data/02934.tar::/fs/scratch/PAS2836/laion2b-data/02935.tar::/fs/scratch/PAS2836/laion2b-data/02936.tar::/fs/scratch/PAS2836/laion2b-data/02937.tar::/fs/scratch/PAS2836/laion2b-data/02938.tar::/fs/scratch/PAS2836/laion2b-data/02939.tar::/fs/scratch/PAS2836/laion2b-data/02940.tar::/fs/scratch/PAS2836/laion2b-data/02941.tar::/fs/scratch/PAS2836/laion2b-data/02942.tar::/fs/scratch/PAS2836/laion2b-data/02943.tar::/fs/scratch/PAS2836/laion2b-data/02944.tar::/fs/scratch/PAS2836/laion2b-data/02945.tar::/fs/scratch/PAS2836/laion2b-data/02946.tar::/fs/scratch/PAS2836/laion2b-data/02947.tar::/fs/scratch/PAS2836/laion2b-data/02948.tar::/fs/scratch/PAS2836/laion2b-data/02949.tar::/fs/scratch/PAS2836/laion2b-data/02950.tar::/fs/scratch/PAS2836/laion2b-data/02951.tar::/fs/scratch/PAS2836/laion2b-data/02952.tar::/fs/scratch/PAS2836/laion2b-data/02953.tar::/fs/scratch/PAS2836/laion2b-data/02954.tar::/fs/scratch/PAS2836/laion2b-data/02955.tar::/fs/scratch/PAS2836/laion2b-data/02956.tar::/fs/scratch/PAS2836/laion2b-data/02957.tar::/fs/scratch/PAS2836/laion2b-data/02958.tar::/fs/scratch/PAS2836/laion2b-data/02959.tar::/fs/scratch/PAS2836/laion2b-data/02960.tar::/fs/scratch/PAS2836/laion2b-data/02961.tar::/fs/scratch/PAS2836/laion2b-data/02962.tar::/fs/scratch/PAS2836/laion2b-data/02963.tar::/fs/scratch/PAS2836/laion2b-data/02964.tar::/fs/scratch/PAS2836/laion2b-data/02965.tar::/fs/scratch/PAS2836/laion2b-data/02966.tar::/fs/scratch/PAS2836/laion2b-data/02967.tar::/fs/scratch/PAS2836/laion2b-data/02968.tar::/fs/scratch/PAS2836/laion2b-data/02969.tar::/fs/scratch/PAS2836/laion2b-data/02970.tar::/fs/scratch/PAS2836/laion2b-data/02971.tar::/fs/scratch/PAS2836/laion2b-data/02972.tar::/fs/scratch/PAS2836/laion2b-data/02973.tar::/fs/scratch/PAS2836/laion2b-data/02974.tar::/fs/scratch/PAS2836/laion2b-data/02975.tar::/fs/scratch/PAS2836/laion2b-data/02976.tar::/fs/scratch/PAS2836/laion2b-data/02977.tar::/fs/scratch/PAS2836/laion2b-data/02978.tar::/fs/scratch/PAS2836/laion2b-data/02979.tar::/fs/scratch/PAS2836/laion2b-data/02980.tar::/fs/scratch/PAS2836/laion2b-data/02981.tar::/fs/scratch/PAS2836/laion2b-data/02982.tar::/fs/scratch/PAS2836/laion2b-data/02983.tar::/fs/scratch/PAS2836/laion2b-data/02984.tar::/fs/scratch/PAS2836/laion2b-data/02985.tar::/fs/scratch/PAS2836/laion2b-data/02986.tar::/fs/scratch/PAS2836/laion2b-data/02987.tar::/fs/scratch/PAS2836/laion2b-data/02988.tar::/fs/scratch/PAS2836/laion2b-data/02989.tar::/fs/scratch/PAS2836/laion2b-data/02990.tar::/fs/scratch/PAS2836/laion2b-data/02991.tar::/fs/scratch/PAS2836/laion2b-data/02992.tar::/fs/scratch/PAS2836/laion2b-data/02993.tar::/fs/scratch/PAS2836/laion2b-data/02994.tar::/fs/scratch/PAS2836/laion2b-data/02995.tar::/fs/scratch/PAS2836/laion2b-data/02996.tar::/fs/scratch/PAS2836/laion2b-data/02997.tar::/fs/scratch/PAS2836/laion2b-data/02998.tar::/fs/scratch/PAS2836/laion2b-data/02999.tar::/fs/scratch/PAS2836/laion2b-data/03000.tar::/fs/scratch/PAS2836/laion2b-data/03001.tar::/fs/scratch/PAS2836/laion2b-data/03002.tar::/fs/scratch/PAS2836/laion2b-data/03003.tar::/fs/scratch/PAS2836/laion2b-data/03004.tar::/fs/scratch/PAS2836/laion2b-data/03005.tar::/fs/scratch/PAS2836/laion2b-data/03006.tar::/fs/scratch/PAS2836/laion2b-data/03007.tar::/fs/scratch/PAS2836/laion2b-data/03008.tar::/fs/scratch/PAS2836/laion2b-data/03009.tar::/fs/scratch/PAS2836/laion2b-data/03010.tar::/fs/scratch/PAS2836/laion2b-data/03011.tar::/fs/scratch/PAS2836/laion2b-data/03012.tar::/fs/scratch/PAS2836/laion2b-data/03013.tar::/fs/scratch/PAS2836/laion2b-data/03014.tar::/fs/scratch/PAS2836/laion2b-data/03015.tar::/fs/scratch/PAS2836/laion2b-data/03016.tar::/fs/scratch/PAS2836/laion2b-data/03017.tar::/fs/scratch/PAS2836/laion2b-data/03018.tar::/fs/scratch/PAS2836/laion2b-data/03019.tar::/fs/scratch/PAS2836/laion2b-data/03020.tar::/fs/scratch/PAS2836/laion2b-data/03021.tar::/fs/scratch/PAS2836/laion2b-data/03022.tar::/fs/scratch/PAS2836/laion2b-data/03023.tar::/fs/scratch/PAS2836/laion2b-data/03024.tar::/fs/scratch/PAS2836/laion2b-data/03025.tar::/fs/scratch/PAS2836/laion2b-data/03026.tar::/fs/scratch/PAS2836/laion2b-data/03027.tar::/fs/scratch/PAS2836/laion2b-data/03028.tar::/fs/scratch/PAS2836/laion2b-data/03029.tar::/fs/scratch/PAS2836/laion2b-data/03030.tar::/fs/scratch/PAS2836/laion2b-data/03031.tar::/fs/scratch/PAS2836/laion2b-data/03032.tar::/fs/scratch/PAS2836/laion2b-data/03033.tar::/fs/scratch/PAS2836/laion2b-data/03034.tar::/fs/scratch/PAS2836/laion2b-data/03035.tar::/fs/scratch/PAS2836/laion2b-data/03036.tar::/fs/scratch/PAS2836/laion2b-data/03037.tar::/fs/scratch/PAS2836/laion2b-data/03038.tar::/fs/scratch/PAS2836/laion2b-data/03039.tar::/fs/scratch/PAS2836/laion2b-data/03040.tar::/fs/scratch/PAS2836/laion2b-data/03041.tar::/fs/scratch/PAS2836/laion2b-data/03042.tar::/fs/scratch/PAS2836/laion2b-data/03043.tar::/fs/scratch/PAS2836/laion2b-data/03044.tar::/fs/scratch/PAS2836/laion2b-data/03045.tar::/fs/scratch/PAS2836/laion2b-data/03046.tar::/fs/scratch/PAS2836/laion2b-data/03047.tar::/fs/scratch/PAS2836/laion2b-data/03048.tar::/fs/scratch/PAS2836/laion2b-data/03049.tar::/fs/scratch/PAS2836/laion2b-data/03050.tar::/fs/scratch/PAS2836/laion2b-data/03051.tar::/fs/scratch/PAS2836/laion2b-data/03052.tar::/fs/scratch/PAS2836/laion2b-data/03053.tar::/fs/scratch/PAS2836/laion2b-data/03054.tar::/fs/scratch/PAS2836/laion2b-data/03055.tar::/fs/scratch/PAS2836/laion2b-data/03056.tar::/fs/scratch/PAS2836/laion2b-data/03057.tar::/fs/scratch/PAS2836/laion2b-data/03058.tar::/fs/scratch/PAS2836/laion2b-data/03059.tar::/fs/scratch/PAS2836/laion2b-data/03060.tar::/fs/scratch/PAS2836/laion2b-data/03061.tar::/fs/scratch/PAS2836/laion2b-data/03062.tar::/fs/scratch/PAS2836/laion2b-data/03063.tar::/fs/scratch/PAS2836/laion2b-data/03064.tar::/fs/scratch/PAS2836/laion2b-data/03065.tar::/fs/scratch/PAS2836/laion2b-data/03066.tar::/fs/scratch/PAS2836/laion2b-data/03067.tar::/fs/scratch/PAS2836/laion2b-data/03068.tar::/fs/scratch/PAS2836/laion2b-data/03069.tar::/fs/scratch/PAS2836/laion2b-data/03070.tar::/fs/scratch/PAS2836/laion2b-data/03071.tar::/fs/scratch/PAS2836/laion2b-data/03072.tar::/fs/scratch/PAS2836/laion2b-data/03073.tar::/fs/scratch/PAS2836/laion2b-data/03074.tar::/fs/scratch/PAS2836/laion2b-data/03075.tar::/fs/scratch/PAS2836/laion2b-data/03076.tar::/fs/scratch/PAS2836/laion2b-data/03077.tar::/fs/scratch/PAS2836/laion2b-data/03078.tar::/fs/scratch/PAS2836/laion2b-data/03079.tar::/fs/scratch/PAS2836/laion2b-data/03080.tar::/fs/scratch/PAS2836/laion2b-data/03081.tar::/fs/scratch/PAS2836/laion2b-data/03082.tar::/fs/scratch/PAS2836/laion2b-data/03083.tar::/fs/scratch/PAS2836/laion2b-data/03084.tar::/fs/scratch/PAS2836/laion2b-data/03085.tar::/fs/scratch/PAS2836/laion2b-data/03086.tar::/fs/scratch/PAS2836/laion2b-data/03087.tar::/fs/scratch/PAS2836/laion2b-data/03088.tar::/fs/scratch/PAS2836/laion2b-data/03089.tar::/fs/scratch/PAS2836/laion2b-data/03090.tar::/fs/scratch/PAS2836/laion2b-data/03091.tar::/fs/scratch/PAS2836/laion2b-data/03092.tar::/fs/scratch/PAS2836/laion2b-data/03093.tar::/fs/scratch/PAS2836/laion2b-data/03094.tar::/fs/scratch/PAS2836/laion2b-data/03095.tar::/fs/scratch/PAS2836/laion2b-data/03096.tar::/fs/scratch/PAS2836/laion2b-data/03097.tar::/fs/scratch/PAS2836/laion2b-data/03098.tar::/fs/scratch/PAS2836/laion2b-data/03099.tar::/fs/scratch/PAS2836/laion2b-data/03100.tar::/fs/scratch/PAS2836/laion2b-data/03101.tar::/fs/scratch/PAS2836/laion2b-data/03102.tar::/fs/scratch/PAS2836/laion2b-data/03103.tar::/fs/scratch/PAS2836/laion2b-data/03104.tar::/fs/scratch/PAS2836/laion2b-data/03105.tar::/fs/scratch/PAS2836/laion2b-data/03106.tar::/fs/scratch/PAS2836/laion2b-data/03107.tar::/fs/scratch/PAS2836/laion2b-data/03108.tar::/fs/scratch/PAS2836/laion2b-data/03109.tar::/fs/scratch/PAS2836/laion2b-data/03110.tar::/fs/scratch/PAS2836/laion2b-data/03111.tar::/fs/scratch/PAS2836/laion2b-data/03112.tar::/fs/scratch/PAS2836/laion2b-data/03113.tar::/fs/scratch/PAS2836/laion2b-data/03114.tar::/fs/scratch/PAS2836/laion2b-data/03115.tar::/fs/scratch/PAS2836/laion2b-data/03116.tar::/fs/scratch/PAS2836/laion2b-data/03117.tar::/fs/scratch/PAS2836/laion2b-data/03118.tar::/fs/scratch/PAS2836/laion2b-data/03119.tar::/fs/scratch/PAS2836/laion2b-data/03120.tar::/fs/scratch/PAS2836/laion2b-data/03121.tar::/fs/scratch/PAS2836/laion2b-data/03122.tar::/fs/scratch/PAS2836/laion2b-data/03123.tar::/fs/scratch/PAS2836/laion2b-data/03124.tar::/fs/scratch/PAS2836/laion2b-data/03125.tar::/fs/scratch/PAS2836/laion2b-data/03126.tar::/fs/scratch/PAS2836/laion2b-data/03127.tar::/fs/scratch/PAS2836/laion2b-data/03128.tar::/fs/scratch/PAS2836/laion2b-data/03129.tar::/fs/scratch/PAS2836/laion2b-data/03130.tar::/fs/scratch/PAS2836/laion2b-data/03131.tar::/fs/scratch/PAS2836/laion2b-data/03132.tar::/fs/scratch/PAS2836/laion2b-data/03133.tar::/fs/scratch/PAS2836/laion2b-data/03134.tar::/fs/scratch/PAS2836/laion2b-data/03135.tar::/fs/scratch/PAS2836/laion2b-data/03136.tar::/fs/scratch/PAS2836/laion2b-data/03137.tar::/fs/scratch/PAS2836/laion2b-data/03138.tar::/fs/scratch/PAS2836/laion2b-data/03139.tar::/fs/scratch/PAS2836/laion2b-data/03140.tar::/fs/scratch/PAS2836/laion2b-data/03141.tar::/fs/scratch/PAS2836/laion2b-data/03142.tar::/fs/scratch/PAS2836/laion2b-data/03143.tar::/fs/scratch/PAS2836/laion2b-data/03144.tar::/fs/scratch/PAS2836/laion2b-data/03145.tar::/fs/scratch/PAS2836/laion2b-data/03146.tar::/fs/scratch/PAS2836/laion2b-data/03147.tar::/fs/scratch/PAS2836/laion2b-data/03148.tar::/fs/scratch/PAS2836/laion2b-data/03149.tar::/fs/scratch/PAS2836/laion2b-data/03150.tar::/fs/scratch/PAS2836/laion2b-data/03151.tar::/fs/scratch/PAS2836/laion2b-data/03152.tar::/fs/scratch/PAS2836/laion2b-data/03153.tar::/fs/scratch/PAS2836/laion2b-data/03154.tar::/fs/scratch/PAS2836/laion2b-data/03155.tar::/fs/scratch/PAS2836/laion2b-data/03156.tar::/fs/scratch/PAS2836/laion2b-data/03157.tar::/fs/scratch/PAS2836/laion2b-data/03158.tar::/fs/scratch/PAS2836/laion2b-data/03159.tar::/fs/scratch/PAS2836/laion2b-data/03160.tar::/fs/scratch/PAS2836/laion2b-data/03161.tar::/fs/scratch/PAS2836/laion2b-data/03162.tar::/fs/scratch/PAS2836/laion2b-data/03163.tar::/fs/scratch/PAS2836/laion2b-data/03164.tar::/fs/scratch/PAS2836/laion2b-data/03165.tar::/fs/scratch/PAS2836/laion2b-data/03166.tar::/fs/scratch/PAS2836/laion2b-data/03167.tar::/fs/scratch/PAS2836/laion2b-data/03168.tar::/fs/scratch/PAS2836/laion2b-data/03169.tar::/fs/scratch/PAS2836/laion2b-data/03170.tar::/fs/scratch/PAS2836/laion2b-data/03171.tar::/fs/scratch/PAS2836/laion2b-data/03172.tar::/fs/scratch/PAS2836/laion2b-data/03173.tar::/fs/scratch/PAS2836/laion2b-data/03174.tar::/fs/scratch/PAS2836/laion2b-data/03175.tar::/fs/scratch/PAS2836/laion2b-data/03176.tar::/fs/scratch/PAS2836/laion2b-data/03177.tar::/fs/scratch/PAS2836/laion2b-data/03178.tar::/fs/scratch/PAS2836/laion2b-data/03179.tar::/fs/scratch/PAS2836/laion2b-data/03180.tar::/fs/scratch/PAS2836/laion2b-data/03181.tar::/fs/scratch/PAS2836/laion2b-data/03182.tar::/fs/scratch/PAS2836/laion2b-data/03183.tar::/fs/scratch/PAS2836/laion2b-data/03184.tar::/fs/scratch/PAS2836/laion2b-data/03185.tar::/fs/scratch/PAS2836/laion2b-data/03186.tar::/fs/scratch/PAS2836/laion2b-data/03187.tar::/fs/scratch/PAS2836/laion2b-data/03188.tar::/fs/scratch/PAS2836/laion2b-data/03189.tar::/fs/scratch/PAS2836/laion2b-data/03190.tar::/fs/scratch/PAS2836/laion2b-data/03191.tar::/fs/scratch/PAS2836/laion2b-data/03192.tar::/fs/scratch/PAS2836/laion2b-data/03193.tar::/fs/scratch/PAS2836/laion2b-data/03194.tar::/fs/scratch/PAS2836/laion2b-data/03195.tar::/fs/scratch/PAS2836/laion2b-data/03196.tar::/fs/scratch/PAS2836/laion2b-data/03197.tar::/fs/scratch/PAS2836/laion2b-data/03198.tar::/fs/scratch/PAS2836/laion2b-data/03199.tar::/fs/scratch/PAS2836/laion2b-data/03200.tar::/fs/scratch/PAS2836/laion2b-data/03201.tar::/fs/scratch/PAS2836/laion2b-data/03202.tar::/fs/scratch/PAS2836/laion2b-data/03203.tar::/fs/scratch/PAS2836/laion2b-data/03204.tar::/fs/scratch/PAS2836/laion2b-data/03205.tar::/fs/scratch/PAS2836/laion2b-data/03206.tar::/fs/scratch/PAS2836/laion2b-data/03207.tar::/fs/scratch/PAS2836/laion2b-data/03208.tar::/fs/scratch/PAS2836/laion2b-data/03209.tar::/fs/scratch/PAS2836/laion2b-data/03210.tar::/fs/scratch/PAS2836/laion2b-data/03211.tar::/fs/scratch/PAS2836/laion2b-data/03212.tar::/fs/scratch/PAS2836/laion2b-data/03213.tar::/fs/scratch/PAS2836/laion2b-data/03214.tar::/fs/scratch/PAS2836/laion2b-data/03215.tar::/fs/scratch/PAS2836/laion2b-data/03216.tar::/fs/scratch/PAS2836/laion2b-data/03217.tar::/fs/scratch/PAS2836/laion2b-data/03218.tar::/fs/scratch/PAS2836/laion2b-data/03219.tar::/fs/scratch/PAS2836/laion2b-data/03220.tar::/fs/scratch/PAS2836/laion2b-data/03221.tar::/fs/scratch/PAS2836/laion2b-data/03222.tar::/fs/scratch/PAS2836/laion2b-data/03223.tar::/fs/scratch/PAS2836/laion2b-data/03224.tar::/fs/scratch/PAS2836/laion2b-data/03225.tar::/fs/scratch/PAS2836/laion2b-data/03226.tar::/fs/scratch/PAS2836/laion2b-data/03227.tar::/fs/scratch/PAS2836/laion2b-data/03228.tar::/fs/scratch/PAS2836/laion2b-data/03229.tar::/fs/scratch/PAS2836/laion2b-data/03230.tar::/fs/scratch/PAS2836/laion2b-data/03231.tar::/fs/scratch/PAS2836/laion2b-data/03232.tar::/fs/scratch/PAS2836/laion2b-data/03233.tar::/fs/scratch/PAS2836/laion2b-data/03234.tar::/fs/scratch/PAS2836/laion2b-data/03235.tar::/fs/scratch/PAS2836/laion2b-data/03236.tar::/fs/scratch/PAS2836/laion2b-data/03237.tar::/fs/scratch/PAS2836/laion2b-data/03238.tar::/fs/scratch/PAS2836/laion2b-data/03239.tar::/fs/scratch/PAS2836/laion2b-data/03240.tar::/fs/scratch/PAS2836/laion2b-data/03241.tar::/fs/scratch/PAS2836/laion2b-data/03242.tar::/fs/scratch/PAS2836/laion2b-data/03243.tar::/fs/scratch/PAS2836/laion2b-data/03244.tar::/fs/scratch/PAS2836/laion2b-data/03245.tar::/fs/scratch/PAS2836/laion2b-data/03246.tar::/fs/scratch/PAS2836/laion2b-data/03247.tar::/fs/scratch/PAS2836/laion2b-data/03248.tar::/fs/scratch/PAS2836/laion2b-data/03249.tar::/fs/scratch/PAS2836/laion2b-data/03250.tar::/fs/scratch/PAS2836/laion2b-data/03251.tar::/fs/scratch/PAS2836/laion2b-data/03252.tar::/fs/scratch/PAS2836/laion2b-data/03253.tar::/fs/scratch/PAS2836/laion2b-data/03254.tar::/fs/scratch/PAS2836/laion2b-data/03255.tar::/fs/scratch/PAS2836/laion2b-data/03256.tar::/fs/scratch/PAS2836/laion2b-data/03257.tar::/fs/scratch/PAS2836/laion2b-data/03258.tar::/fs/scratch/PAS2836/laion2b-data/03259.tar::/fs/scratch/PAS2836/laion2b-data/03260.tar::/fs/scratch/PAS2836/laion2b-data/03261.tar::/fs/scratch/PAS2836/laion2b-data/03262.tar::/fs/scratch/PAS2836/laion2b-data/03263.tar::/fs/scratch/PAS2836/laion2b-data/03264.tar::/fs/scratch/PAS2836/laion2b-data/03265.tar::/fs/scratch/PAS2836/laion2b-data/03266.tar::/fs/scratch/PAS2836/laion2b-data/03267.tar::/fs/scratch/PAS2836/laion2b-data/03268.tar::/fs/scratch/PAS2836/laion2b-data/03269.tar::/fs/scratch/PAS2836/laion2b-data/03270.tar::/fs/scratch/PAS2836/laion2b-data/03271.tar::/fs/scratch/PAS2836/laion2b-data/03272.tar::/fs/scratch/PAS2836/laion2b-data/03273.tar::/fs/scratch/PAS2836/laion2b-data/03274.tar::/fs/scratch/PAS2836/laion2b-data/03275.tar::/fs/scratch/PAS2836/laion2b-data/03276.tar::/fs/scratch/PAS2836/laion2b-data/03277.tar::/fs/scratch/PAS2836/laion2b-data/03278.tar::/fs/scratch/PAS2836/laion2b-data/03279.tar::/fs/scratch/PAS2836/laion2b-data/03280.tar::/fs/scratch/PAS2836/laion2b-data/03281.tar::/fs/scratch/PAS2836/laion2b-data/03282.tar::/fs/scratch/PAS2836/laion2b-data/03283.tar::/fs/scratch/PAS2836/laion2b-data/03284.tar::/fs/scratch/PAS2836/laion2b-data/03285.tar::/fs/scratch/PAS2836/laion2b-data/03286.tar::/fs/scratch/PAS2836/laion2b-data/03287.tar::/fs/scratch/PAS2836/laion2b-data/03288.tar::/fs/scratch/PAS2836/laion2b-data/03289.tar::/fs/scratch/PAS2836/laion2b-data/03290.tar::/fs/scratch/PAS2836/laion2b-data/03291.tar::/fs/scratch/PAS2836/laion2b-data/03292.tar::/fs/scratch/PAS2836/laion2b-data/03293.tar::/fs/scratch/PAS2836/laion2b-data/03294.tar::/fs/scratch/PAS2836/laion2b-data/03295.tar::/fs/scratch/PAS2836/laion2b-data/03296.tar::/fs/scratch/PAS2836/laion2b-data/03297.tar::/fs/scratch/PAS2836/laion2b-data/03298.tar::/fs/scratch/PAS2836/laion2b-data/03299.tar::/fs/scratch/PAS2836/laion2b-data/03300.tar::/fs/scratch/PAS2836/laion2b-data/03301.tar::/fs/scratch/PAS2836/laion2b-data/03302.tar::/fs/scratch/PAS2836/laion2b-data/03303.tar::/fs/scratch/PAS2836/laion2b-data/03304.tar::/fs/scratch/PAS2836/laion2b-data/03305.tar::/fs/scratch/PAS2836/laion2b-data/03306.tar::/fs/scratch/PAS2836/laion2b-data/03307.tar::/fs/scratch/PAS2836/laion2b-data/03308.tar::/fs/scratch/PAS2836/laion2b-data/03309.tar::/fs/scratch/PAS2836/laion2b-data/03310.tar::/fs/scratch/PAS2836/laion2b-data/03311.tar::/fs/scratch/PAS2836/laion2b-data/03312.tar::/fs/scratch/PAS2836/laion2b-data/03313.tar::/fs/scratch/PAS2836/laion2b-data/03314.tar::/fs/scratch/PAS2836/laion2b-data/03315.tar::/fs/scratch/PAS2836/laion2b-data/03316.tar::/fs/scratch/PAS2836/laion2b-data/03317.tar::/fs/scratch/PAS2836/laion2b-data/03318.tar::/fs/scratch/PAS2836/laion2b-data/03319.tar::/fs/scratch/PAS2836/laion2b-data/03320.tar::/fs/scratch/PAS2836/laion2b-data/03321.tar::/fs/scratch/PAS2836/laion2b-data/03322.tar::/fs/scratch/PAS2836/laion2b-data/03323.tar::/fs/scratch/PAS2836/laion2b-data/03324.tar::/fs/scratch/PAS2836/laion2b-data/03325.tar::/fs/scratch/PAS2836/laion2b-data/03326.tar::/fs/scratch/PAS2836/laion2b-data/03327.tar::/fs/scratch/PAS2836/laion2b-data/03328.tar::/fs/scratch/PAS2836/laion2b-data/03329.tar::/fs/scratch/PAS2836/laion2b-data/03330.tar::/fs/scratch/PAS2836/laion2b-data/03331.tar::/fs/scratch/PAS2836/laion2b-data/03332.tar::/fs/scratch/PAS2836/laion2b-data/03333.tar::/fs/scratch/PAS2836/laion2b-data/03334.tar::/fs/scratch/PAS2836/laion2b-data/03335.tar::/fs/scratch/PAS2836/laion2b-data/03336.tar::/fs/scratch/PAS2836/laion2b-data/03337.tar::/fs/scratch/PAS2836/laion2b-data/03338.tar::/fs/scratch/PAS2836/laion2b-data/03339.tar::/fs/scratch/PAS2836/laion2b-data/03340.tar::/fs/scratch/PAS2836/laion2b-data/03341.tar::/fs/scratch/PAS2836/laion2b-data/03342.tar::/fs/scratch/PAS2836/laion2b-data/03343.tar::/fs/scratch/PAS2836/laion2b-data/03344.tar::/fs/scratch/PAS2836/laion2b-data/03345.tar::/fs/scratch/PAS2836/laion2b-data/03346.tar::/fs/scratch/PAS2836/laion2b-data/03347.tar::/fs/scratch/PAS2836/laion2b-data/03348.tar::/fs/scratch/PAS2836/laion2b-data/03349.tar::/fs/scratch/PAS2836/laion2b-data/03350.tar::/fs/scratch/PAS2836/laion2b-data/03351.tar::/fs/scratch/PAS2836/laion2b-data/03352.tar::/fs/scratch/PAS2836/laion2b-data/03353.tar::/fs/scratch/PAS2836/laion2b-data/03354.tar::/fs/scratch/PAS2836/laion2b-data/03355.tar::/fs/scratch/PAS2836/laion2b-data/03356.tar::/fs/scratch/PAS2836/laion2b-data/03357.tar::/fs/scratch/PAS2836/laion2b-data/03358.tar::/fs/scratch/PAS2836/laion2b-data/03359.tar::/fs/scratch/PAS2836/laion2b-data/03360.tar::/fs/scratch/PAS2836/laion2b-data/03361.tar::/fs/scratch/PAS2836/laion2b-data/03362.tar::/fs/scratch/PAS2836/laion2b-data/03363.tar::/fs/scratch/PAS2836/laion2b-data/03364.tar::/fs/scratch/PAS2836/laion2b-data/03365.tar::/fs/scratch/PAS2836/laion2b-data/03366.tar::/fs/scratch/PAS2836/laion2b-data/03367.tar::/fs/scratch/PAS2836/laion2b-data/03368.tar::/fs/scratch/PAS2836/laion2b-data/03369.tar::/fs/scratch/PAS2836/laion2b-data/03370.tar::/fs/scratch/PAS2836/laion2b-data/03371.tar::/fs/scratch/PAS2836/laion2b-data/03372.tar::/fs/scratch/PAS2836/laion2b-data/03373.tar::/fs/scratch/PAS2836/laion2b-data/03374.tar::/fs/scratch/PAS2836/laion2b-data/03375.tar::/fs/scratch/PAS2836/laion2b-data/03376.tar::/fs/scratch/PAS2836/laion2b-data/03377.tar::/fs/scratch/PAS2836/laion2b-data/03378.tar::/fs/scratch/PAS2836/laion2b-data/03379.tar::/fs/scratch/PAS2836/laion2b-data/03380.tar::/fs/scratch/PAS2836/laion2b-data/03381.tar::/fs/scratch/PAS2836/laion2b-data/03382.tar::/fs/scratch/PAS2836/laion2b-data/03383.tar::/fs/scratch/PAS2836/laion2b-data/03384.tar::/fs/scratch/PAS2836/laion2b-data/03385.tar::/fs/scratch/PAS2836/laion2b-data/03386.tar::/fs/scratch/PAS2836/laion2b-data/03387.tar::/fs/scratch/PAS2836/laion2b-data/03388.tar::/fs/scratch/PAS2836/laion2b-data/03389.tar::/fs/scratch/PAS2836/laion2b-data/03390.tar::/fs/scratch/PAS2836/laion2b-data/03391.tar::/fs/scratch/PAS2836/laion2b-data/03392.tar::/fs/scratch/PAS2836/laion2b-data/03393.tar::/fs/scratch/PAS2836/laion2b-data/03394.tar::/fs/scratch/PAS2836/laion2b-data/03395.tar::/fs/scratch/PAS2836/laion2b-data/03396.tar::/fs/scratch/PAS2836/laion2b-data/03397.tar::/fs/scratch/PAS2836/laion2b-data/03398.tar::/fs/scratch/PAS2836/laion2b-data/03399.tar::/fs/scratch/PAS2836/laion2b-data/03400.tar::/fs/scratch/PAS2836/laion2b-data/03401.tar::/fs/scratch/PAS2836/laion2b-data/03402.tar::/fs/scratch/PAS2836/laion2b-data/03403.tar::/fs/scratch/PAS2836/laion2b-data/03404.tar::/fs/scratch/PAS2836/laion2b-data/03405.tar::/fs/scratch/PAS2836/laion2b-data/03406.tar::/fs/scratch/PAS2836/laion2b-data/03407.tar::/fs/scratch/PAS2836/laion2b-data/03408.tar::/fs/scratch/PAS2836/laion2b-data/03409.tar::/fs/scratch/PAS2836/laion2b-data/03410.tar::/fs/scratch/PAS2836/laion2b-data/03411.tar::/fs/scratch/PAS2836/laion2b-data/03412.tar::/fs/scratch/PAS2836/laion2b-data/03413.tar::/fs/scratch/PAS2836/laion2b-data/03414.tar::/fs/scratch/PAS2836/laion2b-data/03415.tar::/fs/scratch/PAS2836/laion2b-data/03416.tar::/fs/scratch/PAS2836/laion2b-data/03417.tar::/fs/scratch/PAS2836/laion2b-data/03418.tar::/fs/scratch/PAS2836/laion2b-data/03419.tar::/fs/scratch/PAS2836/laion2b-data/03420.tar::/fs/scratch/PAS2836/laion2b-data/03421.tar::/fs/scratch/PAS2836/laion2b-data/03422.tar::/fs/scratch/PAS2836/laion2b-data/03423.tar::/fs/scratch/PAS2836/laion2b-data/03424.tar::/fs/scratch/PAS2836/laion2b-data/03425.tar::/fs/scratch/PAS2836/laion2b-data/03426.tar::/fs/scratch/PAS2836/laion2b-data/03427.tar::/fs/scratch/PAS2836/laion2b-data/03428.tar::/fs/scratch/PAS2836/laion2b-data/03429.tar::/fs/scratch/PAS2836/laion2b-data/03430.tar::/fs/scratch/PAS2836/laion2b-data/03431.tar::/fs/scratch/PAS2836/laion2b-data/03432.tar::/fs/scratch/PAS2836/laion2b-data/03433.tar::/fs/scratch/PAS2836/laion2b-data/03434.tar::/fs/scratch/PAS2836/laion2b-data/03435.tar::/fs/scratch/PAS2836/laion2b-data/03436.tar::/fs/scratch/PAS2836/laion2b-data/03437.tar::/fs/scratch/PAS2836/laion2b-data/03438.tar::/fs/scratch/PAS2836/laion2b-data/03439.tar::/fs/scratch/PAS2836/laion2b-data/03440.tar::/fs/scratch/PAS2836/laion2b-data/03441.tar::/fs/scratch/PAS2836/laion2b-data/03442.tar::/fs/scratch/PAS2836/laion2b-data/03443.tar::/fs/scratch/PAS2836/laion2b-data/03444.tar::/fs/scratch/PAS2836/laion2b-data/03445.tar::/fs/scratch/PAS2836/laion2b-data/03446.tar::/fs/scratch/PAS2836/laion2b-data/03447.tar::/fs/scratch/PAS2836/laion2b-data/03448.tar::/fs/scratch/PAS2836/laion2b-data/03449.tar::/fs/scratch/PAS2836/laion2b-data/03450.tar::/fs/scratch/PAS2836/laion2b-data/03451.tar::/fs/scratch/PAS2836/laion2b-data/03452.tar::/fs/scratch/PAS2836/laion2b-data/03453.tar::/fs/scratch/PAS2836/laion2b-data/03454.tar::/fs/scratch/PAS2836/laion2b-data/03455.tar::/fs/scratch/PAS2836/laion2b-data/03456.tar::/fs/scratch/PAS2836/laion2b-data/03457.tar::/fs/scratch/PAS2836/laion2b-data/03458.tar::/fs/scratch/PAS2836/laion2b-data/03459.tar::/fs/scratch/PAS2836/laion2b-data/03460.tar::/fs/scratch/PAS2836/laion2b-data/03461.tar::/fs/scratch/PAS2836/laion2b-data/03462.tar::/fs/scratch/PAS2836/laion2b-data/03463.tar::/fs/scratch/PAS2836/laion2b-data/03464.tar::/fs/scratch/PAS2836/laion2b-data/03465.tar::/fs/scratch/PAS2836/laion2b-data/03466.tar::/fs/scratch/PAS2836/laion2b-data/03467.tar::/fs/scratch/PAS2836/laion2b-data/03468.tar::/fs/scratch/PAS2836/laion2b-data/03469.tar::/fs/scratch/PAS2836/laion2b-data/03470.tar::/fs/scratch/PAS2836/laion2b-data/03471.tar::/fs/scratch/PAS2836/laion2b-data/03472.tar::/fs/scratch/PAS2836/laion2b-data/03473.tar::/fs/scratch/PAS2836/laion2b-data/03474.tar::/fs/scratch/PAS2836/laion2b-data/03475.tar::/fs/scratch/PAS2836/laion2b-data/03476.tar::/fs/scratch/PAS2836/laion2b-data/03477.tar::/fs/scratch/PAS2836/laion2b-data/03478.tar::/fs/scratch/PAS2836/laion2b-data/03479.tar::/fs/scratch/PAS2836/laion2b-data/03480.tar::/fs/scratch/PAS2836/laion2b-data/03481.tar::/fs/scratch/PAS2836/laion2b-data/03482.tar::/fs/scratch/PAS2836/laion2b-data/03483.tar::/fs/scratch/PAS2836/laion2b-data/03484.tar::/fs/scratch/PAS2836/laion2b-data/03485.tar::/fs/scratch/PAS2836/laion2b-data/03486.tar::/fs/scratch/PAS2836/laion2b-data/03487.tar::/fs/scratch/PAS2836/laion2b-data/03488.tar::/fs/scratch/PAS2836/laion2b-data/03489.tar::/fs/scratch/PAS2836/laion2b-data/03490.tar::/fs/scratch/PAS2836/laion2b-data/03491.tar::/fs/scratch/PAS2836/laion2b-data/03492.tar::/fs/scratch/PAS2836/laion2b-data/03493.tar::/fs/scratch/PAS2836/laion2b-data/03494.tar::/fs/scratch/PAS2836/laion2b-data/03495.tar::/fs/scratch/PAS2836/laion2b-data/03496.tar::/fs/scratch/PAS2836/laion2b-data/03497.tar::/fs/scratch/PAS2836/laion2b-data/03498.tar::/fs/scratch/PAS2836/laion2b-data/03499.tar::/fs/scratch/PAS2836/laion2b-data/03500.tar::/fs/scratch/PAS2836/laion2b-data/03501.tar::/fs/scratch/PAS2836/laion2b-data/03502.tar::/fs/scratch/PAS2836/laion2b-data/03503.tar::/fs/scratch/PAS2836/laion2b-data/03504.tar::/fs/scratch/PAS2836/laion2b-data/03505.tar::/fs/scratch/PAS2836/laion2b-data/03506.tar::/fs/scratch/PAS2836/laion2b-data/03507.tar::/fs/scratch/PAS2836/laion2b-data/03508.tar::/fs/scratch/PAS2836/laion2b-data/03509.tar::/fs/scratch/PAS2836/laion2b-data/03510.tar::/fs/scratch/PAS2836/laion2b-data/03511.tar::/fs/scratch/PAS2836/laion2b-data/03512.tar::/fs/scratch/PAS2836/laion2b-data/03513.tar::/fs/scratch/PAS2836/laion2b-data/03514.tar::/fs/scratch/PAS2836/laion2b-data/03515.tar::/fs/scratch/PAS2836/laion2b-data/03516.tar::/fs/scratch/PAS2836/laion2b-data/03517.tar::/fs/scratch/PAS2836/laion2b-data/03518.tar::/fs/scratch/PAS2836/laion2b-data/03519.tar::/fs/scratch/PAS2836/laion2b-data/03520.tar::/fs/scratch/PAS2836/laion2b-data/03521.tar::/fs/scratch/PAS2836/laion2b-data/03522.tar::/fs/scratch/PAS2836/laion2b-data/03523.tar::/fs/scratch/PAS2836/laion2b-data/03524.tar::/fs/scratch/PAS2836/laion2b-data/03525.tar::/fs/scratch/PAS2836/laion2b-data/03526.tar::/fs/scratch/PAS2836/laion2b-data/03527.tar::/fs/scratch/PAS2836/laion2b-data/03528.tar::/fs/scratch/PAS2836/laion2b-data/03529.tar::/fs/scratch/PAS2836/laion2b-data/03530.tar::/fs/scratch/PAS2836/laion2b-data/03531.tar::/fs/scratch/PAS2836/laion2b-data/03532.tar::/fs/scratch/PAS2836/laion2b-data/03533.tar::/fs/scratch/PAS2836/laion2b-data/03534.tar::/fs/scratch/PAS2836/laion2b-data/03535.tar::/fs/scratch/PAS2836/laion2b-data/03536.tar::/fs/scratch/PAS2836/laion2b-data/03537.tar::/fs/scratch/PAS2836/laion2b-data/03538.tar::/fs/scratch/PAS2836/laion2b-data/03539.tar::/fs/scratch/PAS2836/laion2b-data/03540.tar::/fs/scratch/PAS2836/laion2b-data/03541.tar::/fs/scratch/PAS2836/laion2b-data/03542.tar::/fs/scratch/PAS2836/laion2b-data/03543.tar::/fs/scratch/PAS2836/laion2b-data/03544.tar::/fs/scratch/PAS2836/laion2b-data/03545.tar::/fs/scratch/PAS2836/laion2b-data/03546.tar::/fs/scratch/PAS2836/laion2b-data/03547.tar::/fs/scratch/PAS2836/laion2b-data/03548.tar::/fs/scratch/PAS2836/laion2b-data/03549.tar::/fs/scratch/PAS2836/laion2b-data/03550.tar::/fs/scratch/PAS2836/laion2b-data/03551.tar::/fs/scratch/PAS2836/laion2b-data/03552.tar::/fs/scratch/PAS2836/laion2b-data/03553.tar::/fs/scratch/PAS2836/laion2b-data/03554.tar::/fs/scratch/PAS2836/laion2b-data/03555.tar::/fs/scratch/PAS2836/laion2b-data/03556.tar::/fs/scratch/PAS2836/laion2b-data/03557.tar::/fs/scratch/PAS2836/laion2b-data/03558.tar::/fs/scratch/PAS2836/laion2b-data/03559.tar::/fs/scratch/PAS2836/laion2b-data/03560.tar::/fs/scratch/PAS2836/laion2b-data/03561.tar::/fs/scratch/PAS2836/laion2b-data/03562.tar::/fs/scratch/PAS2836/laion2b-data/03563.tar::/fs/scratch/PAS2836/laion2b-data/03564.tar::/fs/scratch/PAS2836/laion2b-data/03565.tar::/fs/scratch/PAS2836/laion2b-data/03566.tar::/fs/scratch/PAS2836/laion2b-data/03567.tar::/fs/scratch/PAS2836/laion2b-data/03568.tar::/fs/scratch/PAS2836/laion2b-data/03569.tar::/fs/scratch/PAS2836/laion2b-data/03570.tar::/fs/scratch/PAS2836/laion2b-data/03571.tar::/fs/scratch/PAS2836/laion2b-data/03572.tar::/fs/scratch/PAS2836/laion2b-data/03573.tar::/fs/scratch/PAS2836/laion2b-data/03574.tar::/fs/scratch/PAS2836/laion2b-data/03575.tar::/fs/scratch/PAS2836/laion2b-data/03576.tar::/fs/scratch/PAS2836/laion2b-data/03577.tar::/fs/scratch/PAS2836/laion2b-data/03578.tar::/fs/scratch/PAS2836/laion2b-data/03579.tar::/fs/scratch/PAS2836/laion2b-data/03580.tar::/fs/scratch/PAS2836/laion2b-data/03581.tar::/fs/scratch/PAS2836/laion2b-data/03582.tar::/fs/scratch/PAS2836/laion2b-data/03583.tar::/fs/scratch/PAS2836/laion2b-data/03584.tar::/fs/scratch/PAS2836/laion2b-data/03585.tar::/fs/scratch/PAS2836/laion2b-data/03586.tar::/fs/scratch/PAS2836/laion2b-data/03587.tar::/fs/scratch/PAS2836/laion2b-data/03588.tar::/fs/scratch/PAS2836/laion2b-data/03589.tar::/fs/scratch/PAS2836/laion2b-data/03590.tar::/fs/scratch/PAS2836/laion2b-data/03591.tar::/fs/scratch/PAS2836/laion2b-data/03592.tar::/fs/scratch/PAS2836/laion2b-data/03593.tar::/fs/scratch/PAS2836/laion2b-data/03594.tar::/fs/scratch/PAS2836/laion2b-data/03595.tar::/fs/scratch/PAS2836/laion2b-data/03596.tar::/fs/scratch/PAS2836/laion2b-data/03597.tar::/fs/scratch/PAS2836/laion2b-data/03598.tar::/fs/scratch/PAS2836/laion2b-data/03599.tar::/fs/scratch/PAS2836/laion2b-data/03600.tar::/fs/scratch/PAS2836/laion2b-data/03601.tar::/fs/scratch/PAS2836/laion2b-data/03602.tar::/fs/scratch/PAS2836/laion2b-data/03603.tar::/fs/scratch/PAS2836/laion2b-data/03604.tar::/fs/scratch/PAS2836/laion2b-data/03605.tar::/fs/scratch/PAS2836/laion2b-data/03606.tar::/fs/scratch/PAS2836/laion2b-data/03607.tar::/fs/scratch/PAS2836/laion2b-data/03608.tar::/fs/scratch/PAS2836/laion2b-data/03609.tar::/fs/scratch/PAS2836/laion2b-data/03610.tar::/fs/scratch/PAS2836/laion2b-data/03611.tar::/fs/scratch/PAS2836/laion2b-data/03612.tar::/fs/scratch/PAS2836/laion2b-data/03613.tar::/fs/scratch/PAS2836/laion2b-data/03614.tar::/fs/scratch/PAS2836/laion2b-data/03615.tar::/fs/scratch/PAS2836/laion2b-data/03616.tar::/fs/scratch/PAS2836/laion2b-data/03617.tar::/fs/scratch/PAS2836/laion2b-data/03618.tar::/fs/scratch/PAS2836/laion2b-data/03619.tar::/fs/scratch/PAS2836/laion2b-data/03620.tar::/fs/scratch/PAS2836/laion2b-data/03621.tar::/fs/scratch/PAS2836/laion2b-data/03622.tar::/fs/scratch/PAS2836/laion2b-data/03623.tar::/fs/scratch/PAS2836/laion2b-data/03624.tar::/fs/scratch/PAS2836/laion2b-data/03625.tar::/fs/scratch/PAS2836/laion2b-data/03626.tar::/fs/scratch/PAS2836/laion2b-data/03627.tar::/fs/scratch/PAS2836/laion2b-data/03628.tar::/fs/scratch/PAS2836/laion2b-data/03629.tar::/fs/scratch/PAS2836/laion2b-data/03630.tar::/fs/scratch/PAS2836/laion2b-data/03631.tar::/fs/scratch/PAS2836/laion2b-data/03632.tar::/fs/scratch/PAS2836/laion2b-data/03633.tar::/fs/scratch/PAS2836/laion2b-data/03634.tar::/fs/scratch/PAS2836/laion2b-data/03635.tar::/fs/scratch/PAS2836/laion2b-data/03636.tar::/fs/scratch/PAS2836/laion2b-data/03637.tar::/fs/scratch/PAS2836/laion2b-data/03638.tar::/fs/scratch/PAS2836/laion2b-data/03639.tar::/fs/scratch/PAS2836/laion2b-data/03640.tar::/fs/scratch/PAS2836/laion2b-data/03641.tar::/fs/scratch/PAS2836/laion2b-data/03642.tar::/fs/scratch/PAS2836/laion2b-data/03643.tar::/fs/scratch/PAS2836/laion2b-data/03644.tar::/fs/scratch/PAS2836/laion2b-data/03645.tar::/fs/scratch/PAS2836/laion2b-data/03646.tar::/fs/scratch/PAS2836/laion2b-data/03647.tar::/fs/scratch/PAS2836/laion2b-data/03648.tar::/fs/scratch/PAS2836/laion2b-data/03649.tar::/fs/scratch/PAS2836/laion2b-data/03650.tar::/fs/scratch/PAS2836/laion2b-data/03651.tar::/fs/scratch/PAS2836/laion2b-data/03652.tar::/fs/scratch/PAS2836/laion2b-data/03653.tar::/fs/scratch/PAS2836/laion2b-data/03654.tar::/fs/scratch/PAS2836/laion2b-data/03655.tar::/fs/scratch/PAS2836/laion2b-data/03656.tar::/fs/scratch/PAS2836/laion2b-data/03657.tar::/fs/scratch/PAS2836/laion2b-data/03658.tar::/fs/scratch/PAS2836/laion2b-data/03659.tar::/fs/scratch/PAS2836/laion2b-data/03660.tar::/fs/scratch/PAS2836/laion2b-data/03661.tar::/fs/scratch/PAS2836/laion2b-data/03662.tar::/fs/scratch/PAS2836/laion2b-data/03663.tar::/fs/scratch/PAS2836/laion2b-data/03664.tar::/fs/scratch/PAS2836/laion2b-data/03665.tar::/fs/scratch/PAS2836/laion2b-data/03666.tar::/fs/scratch/PAS2836/laion2b-data/03667.tar::/fs/scratch/PAS2836/laion2b-data/03668.tar::/fs/scratch/PAS2836/laion2b-data/03669.tar::/fs/scratch/PAS2836/laion2b-data/03670.tar::/fs/scratch/PAS2836/laion2b-data/03671.tar::/fs/scratch/PAS2836/laion2b-data/03672.tar::/fs/scratch/PAS2836/laion2b-data/03673.tar::/fs/scratch/PAS2836/laion2b-data/03674.tar::/fs/scratch/PAS2836/laion2b-data/03675.tar::/fs/scratch/PAS2836/laion2b-data/03676.tar::/fs/scratch/PAS2836/laion2b-data/03677.tar::/fs/scratch/PAS2836/laion2b-data/03678.tar::/fs/scratch/PAS2836/laion2b-data/03679.tar::/fs/scratch/PAS2836/laion2b-data/03680.tar::/fs/scratch/PAS2836/laion2b-data/03681.tar::/fs/scratch/PAS2836/laion2b-data/03682.tar::/fs/scratch/PAS2836/laion2b-data/03683.tar::/fs/scratch/PAS2836/laion2b-data/03684.tar::/fs/scratch/PAS2836/laion2b-data/03685.tar::/fs/scratch/PAS2836/laion2b-data/03686.tar::/fs/scratch/PAS2836/laion2b-data/03687.tar::/fs/scratch/PAS2836/laion2b-data/03688.tar::/fs/scratch/PAS2836/laion2b-data/03689.tar::/fs/scratch/PAS2836/laion2b-data/03690.tar::/fs/scratch/PAS2836/laion2b-data/03691.tar::/fs/scratch/PAS2836/laion2b-data/03692.tar::/fs/scratch/PAS2836/laion2b-data/03693.tar::/fs/scratch/PAS2836/laion2b-data/03694.tar::/fs/scratch/PAS2836/laion2b-data/03695.tar::/fs/scratch/PAS2836/laion2b-data/03696.tar::/fs/scratch/PAS2836/laion2b-data/03697.tar::/fs/scratch/PAS2836/laion2b-data/03698.tar::/fs/scratch/PAS2836/laion2b-data/03699.tar::/fs/scratch/PAS2836/laion2b-data/03700.tar::/fs/scratch/PAS2836/laion2b-data/03701.tar::/fs/scratch/PAS2836/laion2b-data/03702.tar::/fs/scratch/PAS2836/laion2b-data/03703.tar::/fs/scratch/PAS2836/laion2b-data/03704.tar::/fs/scratch/PAS2836/laion2b-data/03705.tar::/fs/scratch/PAS2836/laion2b-data/03706.tar::/fs/scratch/PAS2836/laion2b-data/03707.tar::/fs/scratch/PAS2836/laion2b-data/03708.tar::/fs/scratch/PAS2836/laion2b-data/03709.tar::/fs/scratch/PAS2836/laion2b-data/03710.tar::/fs/scratch/PAS2836/laion2b-data/03711.tar::/fs/scratch/PAS2836/laion2b-data/03712.tar::/fs/scratch/PAS2836/laion2b-data/03713.tar::/fs/scratch/PAS2836/laion2b-data/03714.tar::/fs/scratch/PAS2836/laion2b-data/03715.tar::/fs/scratch/PAS2836/laion2b-data/03716.tar::/fs/scratch/PAS2836/laion2b-data/03717.tar::/fs/scratch/PAS2836/laion2b-data/03718.tar::/fs/scratch/PAS2836/laion2b-data/03719.tar::/fs/scratch/PAS2836/laion2b-data/03720.tar::/fs/scratch/PAS2836/laion2b-data/03721.tar::/fs/scratch/PAS2836/laion2b-data/03722.tar::/fs/scratch/PAS2836/laion2b-data/03723.tar::/fs/scratch/PAS2836/laion2b-data/03724.tar::/fs/scratch/PAS2836/laion2b-data/03725.tar::/fs/scratch/PAS2836/laion2b-data/03726.tar::/fs/scratch/PAS2836/laion2b-data/03727.tar::/fs/scratch/PAS2836/laion2b-data/03728.tar::/fs/scratch/PAS2836/laion2b-data/03729.tar::/fs/scratch/PAS2836/laion2b-data/03730.tar::/fs/scratch/PAS2836/laion2b-data/03731.tar::/fs/scratch/PAS2836/laion2b-data/03732.tar::/fs/scratch/PAS2836/laion2b-data/03733.tar::/fs/scratch/PAS2836/laion2b-data/03734.tar::/fs/scratch/PAS2836/laion2b-data/03735.tar::/fs/scratch/PAS2836/laion2b-data/03736.tar::/fs/scratch/PAS2836/laion2b-data/03737.tar::/fs/scratch/PAS2836/laion2b-data/03738.tar::/fs/scratch/PAS2836/laion2b-data/03739.tar::/fs/scratch/PAS2836/laion2b-data/03740.tar::/fs/scratch/PAS2836/laion2b-data/03741.tar::/fs/scratch/PAS2836/laion2b-data/03742.tar::/fs/scratch/PAS2836/laion2b-data/03743.tar::/fs/scratch/PAS2836/laion2b-data/03744.tar::/fs/scratch/PAS2836/laion2b-data/03745.tar::/fs/scratch/PAS2836/laion2b-data/03746.tar::/fs/scratch/PAS2836/laion2b-data/03747.tar::/fs/scratch/PAS2836/laion2b-data/03748.tar::/fs/scratch/PAS2836/laion2b-data/03749.tar::/fs/scratch/PAS2836/laion2b-data/03750.tar::/fs/scratch/PAS2836/laion2b-data/03751.tar::/fs/scratch/PAS2836/laion2b-data/03752.tar::/fs/scratch/PAS2836/laion2b-data/03753.tar::/fs/scratch/PAS2836/laion2b-data/03754.tar::/fs/scratch/PAS2836/laion2b-data/03755.tar::/fs/scratch/PAS2836/laion2b-data/03756.tar::/fs/scratch/PAS2836/laion2b-data/03757.tar::/fs/scratch/PAS2836/laion2b-data/03758.tar::/fs/scratch/PAS2836/laion2b-data/03759.tar::/fs/scratch/PAS2836/laion2b-data/03760.tar::/fs/scratch/PAS2836/laion2b-data/03761.tar::/fs/scratch/PAS2836/laion2b-data/03762.tar::/fs/scratch/PAS2836/laion2b-data/03763.tar::/fs/scratch/PAS2836/laion2b-data/03764.tar::/fs/scratch/PAS2836/laion2b-data/03765.tar::/fs/scratch/PAS2836/laion2b-data/03766.tar::/fs/scratch/PAS2836/laion2b-data/03767.tar::/fs/scratch/PAS2836/laion2b-data/03768.tar::/fs/scratch/PAS2836/laion2b-data/03769.tar::/fs/scratch/PAS2836/laion2b-data/03770.tar::/fs/scratch/PAS2836/laion2b-data/03771.tar::/fs/scratch/PAS2836/laion2b-data/03772.tar::/fs/scratch/PAS2836/laion2b-data/03773.tar::/fs/scratch/PAS2836/laion2b-data/03774.tar::/fs/scratch/PAS2836/laion2b-data/03775.tar::/fs/scratch/PAS2836/laion2b-data/03776.tar::/fs/scratch/PAS2836/laion2b-data/03777.tar::/fs/scratch/PAS2836/laion2b-data/03778.tar::/fs/scratch/PAS2836/laion2b-data/03779.tar::/fs/scratch/PAS2836/laion2b-data/03780.tar::/fs/scratch/PAS2836/laion2b-data/03781.tar::/fs/scratch/PAS2836/laion2b-data/03782.tar::/fs/scratch/PAS2836/laion2b-data/03783.tar::/fs/scratch/PAS2836/laion2b-data/03784.tar::/fs/scratch/PAS2836/laion2b-data/03785.tar::/fs/scratch/PAS2836/laion2b-data/03786.tar::/fs/scratch/PAS2836/laion2b-data/03787.tar::/fs/scratch/PAS2836/laion2b-data/03788.tar::/fs/scratch/PAS2836/laion2b-data/03789.tar::/fs/scratch/PAS2836/laion2b-data/03790.tar::/fs/scratch/PAS2836/laion2b-data/03791.tar::/fs/scratch/PAS2836/laion2b-data/03792.tar::/fs/scratch/PAS2836/laion2b-data/03793.tar::/fs/scratch/PAS2836/laion2b-data/03794.tar::/fs/scratch/PAS2836/laion2b-data/03795.tar::/fs/scratch/PAS2836/laion2b-data/03796.tar::/fs/scratch/PAS2836/laion2b-data/03797.tar::/fs/scratch/PAS2836/laion2b-data/03798.tar::/fs/scratch/PAS2836/laion2b-data/03799.tar::/fs/scratch/PAS2836/laion2b-data/03800.tar::/fs/scratch/PAS2836/laion2b-data/03801.tar::/fs/scratch/PAS2836/laion2b-data/03802.tar::/fs/scratch/PAS2836/laion2b-data/03803.tar::/fs/scratch/PAS2836/laion2b-data/03804.tar::/fs/scratch/PAS2836/laion2b-data/03805.tar::/fs/scratch/PAS2836/laion2b-data/03806.tar::/fs/scratch/PAS2836/laion2b-data/03807.tar::/fs/scratch/PAS2836/laion2b-data/03808.tar::/fs/scratch/PAS2836/laion2b-data/03809.tar::/fs/scratch/PAS2836/laion2b-data/03810.tar::/fs/scratch/PAS2836/laion2b-data/03811.tar::/fs/scratch/PAS2836/laion2b-data/03812.tar::/fs/scratch/PAS2836/laion2b-data/03813.tar::/fs/scratch/PAS2836/laion2b-data/03814.tar::/fs/scratch/PAS2836/laion2b-data/03815.tar::/fs/scratch/PAS2836/laion2b-data/03816.tar::/fs/scratch/PAS2836/laion2b-data/03817.tar::/fs/scratch/PAS2836/laion2b-data/03818.tar::/fs/scratch/PAS2836/laion2b-data/03819.tar::/fs/scratch/PAS2836/laion2b-data/03820.tar::/fs/scratch/PAS2836/laion2b-data/03821.tar::/fs/scratch/PAS2836/laion2b-data/03822.tar::/fs/scratch/PAS2836/laion2b-data/03823.tar::/fs/scratch/PAS2836/laion2b-data/03824.tar::/fs/scratch/PAS2836/laion2b-data/03825.tar::/fs/scratch/PAS2836/laion2b-data/03826.tar::/fs/scratch/PAS2836/laion2b-data/03827.tar::/fs/scratch/PAS2836/laion2b-data/03828.tar::/fs/scratch/PAS2836/laion2b-data/03829.tar::/fs/scratch/PAS2836/laion2b-data/03830.tar::/fs/scratch/PAS2836/laion2b-data/03831.tar::/fs/scratch/PAS2836/laion2b-data/03832.tar::/fs/scratch/PAS2836/laion2b-data/03833.tar::/fs/scratch/PAS2836/laion2b-data/03834.tar::/fs/scratch/PAS2836/laion2b-data/03835.tar::/fs/scratch/PAS2836/laion2b-data/03836.tar::/fs/scratch/PAS2836/laion2b-data/03837.tar::/fs/scratch/PAS2836/laion2b-data/03838.tar::/fs/scratch/PAS2836/laion2b-data/03839.tar::/fs/scratch/PAS2836/laion2b-data/03840.tar::/fs/scratch/PAS2836/laion2b-data/03841.tar::/fs/scratch/PAS2836/laion2b-data/03842.tar::/fs/scratch/PAS2836/laion2b-data/03843.tar::/fs/scratch/PAS2836/laion2b-data/03844.tar::/fs/scratch/PAS2836/laion2b-data/03845.tar::/fs/scratch/PAS2836/laion2b-data/03846.tar::/fs/scratch/PAS2836/laion2b-data/03847.tar::/fs/scratch/PAS2836/laion2b-data/03848.tar::/fs/scratch/PAS2836/laion2b-data/03849.tar::/fs/scratch/PAS2836/laion2b-data/03850.tar::/fs/scratch/PAS2836/laion2b-data/03851.tar::/fs/scratch/PAS2836/laion2b-data/03852.tar::/fs/scratch/PAS2836/laion2b-data/03853.tar::/fs/scratch/PAS2836/laion2b-data/03854.tar::/fs/scratch/PAS2836/laion2b-data/03855.tar::/fs/scratch/PAS2836/laion2b-data/03856.tar::/fs/scratch/PAS2836/laion2b-data/03857.tar::/fs/scratch/PAS2836/laion2b-data/03858.tar::/fs/scratch/PAS2836/laion2b-data/03859.tar::/fs/scratch/PAS2836/laion2b-data/03860.tar::/fs/scratch/PAS2836/laion2b-data/03861.tar::/fs/scratch/PAS2836/laion2b-data/03862.tar::/fs/scratch/PAS2836/laion2b-data/03863.tar::/fs/scratch/PAS2836/laion2b-data/03864.tar::/fs/scratch/PAS2836/laion2b-data/03865.tar::/fs/scratch/PAS2836/laion2b-data/03866.tar::/fs/scratch/PAS2836/laion2b-data/03867.tar::/fs/scratch/PAS2836/laion2b-data/03868.tar::/fs/scratch/PAS2836/laion2b-data/03869.tar::/fs/scratch/PAS2836/laion2b-data/03870.tar::/fs/scratch/PAS2836/laion2b-data/03871.tar::/fs/scratch/PAS2836/laion2b-data/03872.tar::/fs/scratch/PAS2836/laion2b-data/03873.tar::/fs/scratch/PAS2836/laion2b-data/03874.tar::/fs/scratch/PAS2836/laion2b-data/03875.tar::/fs/scratch/PAS2836/laion2b-data/03876.tar::/fs/scratch/PAS2836/laion2b-data/03877.tar::/fs/scratch/PAS2836/laion2b-data/03878.tar::/fs/scratch/PAS2836/laion2b-data/03879.tar::/fs/scratch/PAS2836/laion2b-data/03880.tar::/fs/scratch/PAS2836/laion2b-data/03881.tar::/fs/scratch/PAS2836/laion2b-data/03882.tar::/fs/scratch/PAS2836/laion2b-data/03883.tar::/fs/scratch/PAS2836/laion2b-data/03884.tar::/fs/scratch/PAS2836/laion2b-data/03885.tar::/fs/scratch/PAS2836/laion2b-data/03886.tar::/fs/scratch/PAS2836/laion2b-data/03887.tar::/fs/scratch/PAS2836/laion2b-data/03888.tar::/fs/scratch/PAS2836/laion2b-data/03889.tar::/fs/scratch/PAS2836/laion2b-data/03890.tar::/fs/scratch/PAS2836/laion2b-data/03891.tar::/fs/scratch/PAS2836/laion2b-data/03892.tar::/fs/scratch/PAS2836/laion2b-data/03893.tar::/fs/scratch/PAS2836/laion2b-data/03894.tar::/fs/scratch/PAS2836/laion2b-data/03895.tar::/fs/scratch/PAS2836/laion2b-data/03896.tar::/fs/scratch/PAS2836/laion2b-data/03897.tar::/fs/scratch/PAS2836/laion2b-data/03898.tar::/fs/scratch/PAS2836/laion2b-data/03899.tar::/fs/scratch/PAS2836/laion2b-data/03900.tar::/fs/scratch/PAS2836/laion2b-data/03901.tar::/fs/scratch/PAS2836/laion2b-data/03902.tar::/fs/scratch/PAS2836/laion2b-data/03903.tar::/fs/scratch/PAS2836/laion2b-data/03904.tar::/fs/scratch/PAS2836/laion2b-data/03905.tar::/fs/scratch/PAS2836/laion2b-data/03906.tar::/fs/scratch/PAS2836/laion2b-data/03907.tar::/fs/scratch/PAS2836/laion2b-data/03908.tar::/fs/scratch/PAS2836/laion2b-data/03909.tar::/fs/scratch/PAS2836/laion2b-data/03910.tar::/fs/scratch/PAS2836/laion2b-data/03911.tar::/fs/scratch/PAS2836/laion2b-data/03912.tar::/fs/scratch/PAS2836/laion2b-data/03913.tar::/fs/scratch/PAS2836/laion2b-data/03914.tar::/fs/scratch/PAS2836/laion2b-data/03915.tar::/fs/scratch/PAS2836/laion2b-data/03916.tar::/fs/scratch/PAS2836/laion2b-data/03917.tar::/fs/scratch/PAS2836/laion2b-data/03918.tar::/fs/scratch/PAS2836/laion2b-data/03919.tar::/fs/scratch/PAS2836/laion2b-data/03920.tar::/fs/scratch/PAS2836/laion2b-data/03921.tar::/fs/scratch/PAS2836/laion2b-data/03922.tar::/fs/scratch/PAS2836/laion2b-data/03923.tar::/fs/scratch/PAS2836/laion2b-data/03924.tar::/fs/scratch/PAS2836/laion2b-data/03925.tar::/fs/scratch/PAS2836/laion2b-data/03926.tar::/fs/scratch/PAS2836/laion2b-data/03927.tar::/fs/scratch/PAS2836/laion2b-data/03928.tar::/fs/scratch/PAS2836/laion2b-data/03929.tar::/fs/scratch/PAS2836/laion2b-data/03930.tar::/fs/scratch/PAS2836/laion2b-data/03931.tar::/fs/scratch/PAS2836/laion2b-data/03932.tar::/fs/scratch/PAS2836/laion2b-data/03933.tar::/fs/scratch/PAS2836/laion2b-data/03934.tar::/fs/scratch/PAS2836/laion2b-data/03935.tar::/fs/scratch/PAS2836/laion2b-data/03936.tar::/fs/scratch/PAS2836/laion2b-data/03937.tar::/fs/scratch/PAS2836/laion2b-data/03938.tar::/fs/scratch/PAS2836/laion2b-data/03939.tar::/fs/scratch/PAS2836/laion2b-data/03940.tar::/fs/scratch/PAS2836/laion2b-data/03941.tar::/fs/scratch/PAS2836/laion2b-data/03942.tar::/fs/scratch/PAS2836/laion2b-data/03943.tar::/fs/scratch/PAS2836/laion2b-data/03944.tar::/fs/scratch/PAS2836/laion2b-data/03945.tar::/fs/scratch/PAS2836/laion2b-data/03946.tar::/fs/scratch/PAS2836/laion2b-data/03947.tar::/fs/scratch/PAS2836/laion2b-data/03948.tar::/fs/scratch/PAS2836/laion2b-data/03949.tar::/fs/scratch/PAS2836/laion2b-data/03950.tar::/fs/scratch/PAS2836/laion2b-data/03951.tar::/fs/scratch/PAS2836/laion2b-data/03952.tar::/fs/scratch/PAS2836/laion2b-data/03953.tar::/fs/scratch/PAS2836/laion2b-data/03954.tar::/fs/scratch/PAS2836/laion2b-data/03955.tar::/fs/scratch/PAS2836/laion2b-data/03956.tar::/fs/scratch/PAS2836/laion2b-data/03957.tar::/fs/scratch/PAS2836/laion2b-data/03958.tar::/fs/scratch/PAS2836/laion2b-data/03959.tar::/fs/scratch/PAS2836/laion2b-data/03960.tar::/fs/scratch/PAS2836/laion2b-data/03961.tar::/fs/scratch/PAS2836/laion2b-data/03962.tar::/fs/scratch/PAS2836/laion2b-data/03963.tar::/fs/scratch/PAS2836/laion2b-data/03964.tar::/fs/scratch/PAS2836/laion2b-data/03965.tar::/fs/scratch/PAS2836/laion2b-data/03966.tar::/fs/scratch/PAS2836/laion2b-data/03967.tar::/fs/scratch/PAS2836/laion2b-data/03968.tar::/fs/scratch/PAS2836/laion2b-data/03969.tar::/fs/scratch/PAS2836/laion2b-data/03970.tar::/fs/scratch/PAS2836/laion2b-data/03971.tar::/fs/scratch/PAS2836/laion2b-data/03972.tar::/fs/scratch/PAS2836/laion2b-data/03973.tar::/fs/scratch/PAS2836/laion2b-data/03974.tar::/fs/scratch/PAS2836/laion2b-data/03975.tar::/fs/scratch/PAS2836/laion2b-data/03976.tar::/fs/scratch/PAS2836/laion2b-data/03977.tar::/fs/scratch/PAS2836/laion2b-data/03978.tar::/fs/scratch/PAS2836/laion2b-data/03979.tar::/fs/scratch/PAS2836/laion2b-data/03980.tar::/fs/scratch/PAS2836/laion2b-data/03981.tar::/fs/scratch/PAS2836/laion2b-data/03982.tar::/fs/scratch/PAS2836/laion2b-data/03983.tar::/fs/scratch/PAS2836/laion2b-data/03984.tar::/fs/scratch/PAS2836/laion2b-data/03985.tar::/fs/scratch/PAS2836/laion2b-data/03986.tar::/fs/scratch/PAS2836/laion2b-data/03987.tar::/fs/scratch/PAS2836/laion2b-data/03988.tar::/fs/scratch/PAS2836/laion2b-data/03989.tar::/fs/scratch/PAS2836/laion2b-data/03990.tar::/fs/scratch/PAS2836/laion2b-data/03991.tar::/fs/scratch/PAS2836/laion2b-data/03992.tar::/fs/scratch/PAS2836/laion2b-data/03993.tar::/fs/scratch/PAS2836/laion2b-data/03994.tar::/fs/scratch/PAS2836/laion2b-data/03995.tar::/fs/scratch/PAS2836/laion2b-data/03996.tar::/fs/scratch/PAS2836/laion2b-data/03997.tar::/fs/scratch/PAS2836/laion2b-data/03998.tar::/fs/scratch/PAS2836/laion2b-data/03999.tar
2025-08-20,15:59:29 | INFO |   train_data_upsampling_factors: None
2025-08-20,15:59:29 | INFO |   train_num_samples: 26365716
2025-08-20,15:59:29 | INFO |   use_bn_sync: False
2025-08-20,15:59:29 | INFO |   use_bnb_linear: None
2025-08-20,15:59:29 | INFO |   val_data: None
2025-08-20,15:59:29 | INFO |   val_frequency: 1
2025-08-20,15:59:29 | INFO |   val_num_samples: None
2025-08-20,15:59:29 | INFO |   wandb: False
2025-08-20,15:59:29 | INFO |   wandb_notes: 
2025-08-20,15:59:29 | INFO |   wandb_project_name: open-clip
2025-08-20,15:59:29 | INFO |   warmup: 50
2025-08-20,15:59:29 | INFO |   wd: 0.1
2025-08-20,15:59:29 | INFO |   workers: 8
2025-08-20,15:59:29 | INFO |   world_size: 1
2025-08-20,15:59:29 | INFO |   zeroshot_frequency: 1
2025-08-20,15:59:29 | 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
2025-08-20,15:59:30 | INFO | Start epoch 0
2025-08-20,15:59:34 | INFO | Train Epoch: 0 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 6.3471 (6.3471) Loss: 6.3471 (6.3471)
2025-08-20,16:00:43 | INFO | Train Epoch: 0 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 6.1527 (6.2499) Loss: 6.1527 (6.2499)
2025-08-20,16:01:52 | INFO | Train Epoch: 0 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 5.9246 (6.1414) Loss: 5.9246 (6.1414)
2025-08-20,16:03:02 | INFO | Train Epoch: 0 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 5.7244 (6.0372) Loss: 5.7244 (6.0372)
2025-08-20,16:04:11 | INFO | Train Epoch: 0 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 5.5618 (5.9421) Loss: 5.5618 (5.9421)
2025-08-20,16:05:20 | INFO | Train Epoch: 0 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 5.4687 (5.8632) Loss: 5.4687 (5.8632)
2025-08-20,16:06:29 | INFO | Train Epoch: 0 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 5.2849 (5.7806) Loss: 5.2849 (5.7806)
2025-08-20,16:07:39 | INFO | Train Epoch: 0 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 5.2377 (5.7127) Loss: 5.2377 (5.7127)
2025-08-20,16:08:48 | INFO | Train Epoch: 0 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 5.2902 (5.6658) Loss: 5.2902 (5.6658)
2025-08-20,16:09:58 | INFO | Train Epoch: 0 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 5.1566 (5.6149) Loss: 5.1566 (5.6149)
2025-08-20,16:11:07 | INFO | Train Epoch: 0 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 5.0524 (5.5637) Loss: 5.0524 (5.5637)
2025-08-20,16:12:16 | INFO | Train Epoch: 0 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.9701 (5.5143) Loss: 4.9701 (5.5143)
2025-08-20,16:13:26 | INFO | Train Epoch: 0 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.8886 (5.4661) Loss: 4.8886 (5.4661)
2025-08-20,16:14:35 | INFO | Train Epoch: 0 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.7342 (5.4139) Loss: 4.7342 (5.4139)
2025-08-20,16:15:45 | INFO | Train Epoch: 0 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.8538 (5.3765) Loss: 4.8538 (5.3765)
2025-08-20,16:16:54 | INFO | Train Epoch: 0 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.7567 (5.3378) Loss: 4.7567 (5.3378)
2025-08-20,16:18:03 | INFO | Train Epoch: 0 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.8841 (5.3111) Loss: 4.8841 (5.3111)
2025-08-20,16:19:13 | INFO | Train Epoch: 0 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.6882 (5.2765) Loss: 4.6882 (5.2765)
2025-08-20,16:20:22 | INFO | Train Epoch: 0 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.5686 (5.2392) Loss: 4.5686 (5.2392)
2025-08-20,16:21:32 | INFO | Train Epoch: 0 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.5675 (5.2056) Loss: 4.5675 (5.2056)
2025-08-20,16:22:41 | INFO | Train Epoch: 0 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.5843 (5.1761) Loss: 4.5843 (5.1761)
2025-08-20,16:23:50 | INFO | Train Epoch: 0 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.5153 (5.1460) Loss: 4.5153 (5.1460)
2025-08-20,16:25:00 | INFO | Train Epoch: 0 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.4661 (5.1165) Loss: 4.4661 (5.1165)
2025-08-20,16:26:09 | INFO | Train Epoch: 0 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.4498 (5.0887) Loss: 4.4498 (5.0887)
2025-08-20,16:27:19 | INFO | Train Epoch: 0 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.4668 (5.0638) Loss: 4.4668 (5.0638)
2025-08-20,16:28:28 | INFO | Train Epoch: 0 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.2965 (5.0343) Loss: 4.2965 (5.0343)
2025-08-20,16:29:38 | INFO | Train Epoch: 0 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.4259 (5.0118) Loss: 4.4259 (5.0118)
2025-08-20,16:30:47 | INFO | Train Epoch: 0 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.4309 (4.9910) Loss: 4.4309 (4.9910)
2025-08-20,16:31:57 | INFO | Train Epoch: 0 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.4243 (4.9715) Loss: 4.4243 (4.9715)
2025-08-20,16:33:06 | INFO | Train Epoch: 0 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.3357 (4.9503) Loss: 4.3357 (4.9503)
2025-08-20,16:34:16 | INFO | Train Epoch: 0 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.2520 (4.9278) Loss: 4.2520 (4.9278)
2025-08-20,16:35:25 | INFO | Train Epoch: 0 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.1904 (4.9047) Loss: 4.1904 (4.9047)
2025-08-20,16:36:35 | INFO | Train Epoch: 0 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.1445 (4.8817) Loss: 4.1445 (4.8817)
2025-08-20,16:37:44 | INFO | Train Epoch: 0 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.0634 (4.8576) Loss: 4.0634 (4.8576)
2025-08-20,16:38:53 | INFO | Train Epoch: 0 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.0896 (4.8357) Loss: 4.0896 (4.8357)
2025-08-20,16:40:03 | INFO | Train Epoch: 0 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.1509 (4.8166) Loss: 4.1509 (4.8166)
2025-08-20,16:41:12 | INFO | Train Epoch: 0 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.0620 (4.7962) Loss: 4.0620 (4.7962)
2025-08-20,16:42:22 | INFO | Train Epoch: 0 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.1437 (4.7791) Loss: 4.1437 (4.7791)
2025-08-20,16:43:31 | INFO | Train Epoch: 0 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.0811 (4.7612) Loss: 4.0811 (4.7612)
2025-08-20,16:44:41 | INFO | Train Epoch: 0 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.0111 (4.7424) Loss: 4.0111 (4.7424)
2025-08-20,16:45:50 | INFO | Train Epoch: 0 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.2015 (4.7292) Loss: 4.2015 (4.7292)
2025-08-20,16:47:00 | INFO | Train Epoch: 0 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.9856 (4.7115) Loss: 3.9856 (4.7115)
2025-08-20,16:48:09 | INFO | Train Epoch: 0 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.0125 (4.6953) Loss: 4.0125 (4.6953)
2025-08-20,16:49:19 | INFO | Train Epoch: 0 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 4.0278 (4.6801) Loss: 4.0278 (4.6801)
2025-08-20,16:50:28 | INFO | Train Epoch: 0 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.9130 (4.6631) Loss: 3.9130 (4.6631)
2025-08-20,16:51:38 | INFO | Train Epoch: 0 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.7589 (4.6434) Loss: 3.7589 (4.6434)
2025-08-20,16:52:47 | INFO | Train Epoch: 0 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.7259 (4.6239) Loss: 3.7259 (4.6239)
2025-08-20,16:53:57 | INFO | Train Epoch: 0 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.7911 (4.6065) Loss: 3.7911 (4.6065)
2025-08-20,16:55:06 | INFO | Train Epoch: 0 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.6359 (4.5867) Loss: 3.6359 (4.5867)
2025-08-20,16:56:16 | INFO | Train Epoch: 0 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.6988 (4.5690) Loss: 3.6988 (4.5690)
2025-08-20,16:57:26 | INFO | Train Epoch: 0 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.7560 (4.5530) Loss: 3.7560 (4.5530)
2025-08-20,16:58:35 | INFO | Train Epoch: 0 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.8282 (4.5391) Loss: 3.8282 (4.5391)
2025-08-20,16:59:45 | INFO | Train Epoch: 0 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.6196 (4.5217) Loss: 3.6196 (4.5217)
2025-08-20,17:00:54 | INFO | Train Epoch: 0 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.6199 (4.5050) Loss: 3.6199 (4.5050)
2025-08-20,17:02:04 | INFO | Train Epoch: 0 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.6887 (4.4902) Loss: 3.6887 (4.4902)
2025-08-20,17:03:14 | INFO | Train Epoch: 0 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.5860 (4.4740) Loss: 3.5860 (4.4740)
2025-08-20,17:04:23 | INFO | Train Epoch: 0 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.6912 (4.4603) Loss: 3.6912 (4.4603)
2025-08-20,17:05:33 | INFO | Train Epoch: 0 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.6410 (4.4462) Loss: 3.6410 (4.4462)
2025-08-20,17:06:42 | INFO | Train Epoch: 0 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.5191 (4.4305) Loss: 3.5191 (4.4305)
2025-08-20,17:07:52 | INFO | Train Epoch: 0 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.7257 (4.4187) Loss: 3.7257 (4.4187)
2025-08-20,17:09:02 | INFO | Train Epoch: 0 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.4725 (4.4032) Loss: 3.4725 (4.4032)
2025-08-20,17:10:11 | INFO | Train Epoch: 0 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.6298 (4.3907) Loss: 3.6298 (4.3907)
2025-08-20,17:11:21 | INFO | Train Epoch: 0 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.6808 (4.3795) Loss: 3.6808 (4.3795)
2025-08-20,17:12:30 | INFO | Train Epoch: 0 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.5266 (4.3661) Loss: 3.5266 (4.3661)
2025-08-20,17:13:40 | INFO | Train Epoch: 0 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.4360 (4.3518) Loss: 3.4360 (4.3518)
2025-08-20,17:14:50 | INFO | Train Epoch: 0 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.6049 (4.3405) Loss: 3.6049 (4.3405)
2025-08-20,17:15:59 | INFO | Train Epoch: 0 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.3273 (4.3254) Loss: 3.3273 (4.3254)
2025-08-20,17:17:09 | INFO | Train Epoch: 0 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.4346 (4.3123) Loss: 3.4346 (4.3123)
2025-08-20,17:18:18 | INFO | Train Epoch: 0 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.5932 (4.3019) Loss: 3.5932 (4.3019)
2025-08-20,17:19:28 | INFO | Train Epoch: 0 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.5171 (4.2907) Loss: 3.5171 (4.2907)
2025-08-20,17:20:38 | INFO | Train Epoch: 0 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.5197 (4.2798) Loss: 3.5197 (4.2798)
2025-08-20,17:21:48 | INFO | Train Epoch: 0 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.4000 (4.2676) Loss: 3.4000 (4.2676)
2025-08-20,17:22:57 | INFO | Train Epoch: 0 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.3462 (4.2550) Loss: 3.3462 (4.2550)
2025-08-20,17:24:07 | INFO | Train Epoch: 0 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.3040 (4.2421) Loss: 3.3040 (4.2421)
2025-08-20,17:25:17 | INFO | Train Epoch: 0 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.4536 (4.2316) Loss: 3.4536 (4.2316)
2025-08-20,17:26:26 | INFO | Train Epoch: 0 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.2900 (4.2192) Loss: 3.2900 (4.2192)
2025-08-20,17:27:36 | INFO | Train Epoch: 0 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.3467 (4.2079) Loss: 3.3467 (4.2079)
2025-08-20,17:28:45 | INFO | Train Epoch: 0 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.2734 (4.1959) Loss: 3.2734 (4.1959)
2025-08-20,17:29:55 | INFO | Train Epoch: 0 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.1886 (4.1831) Loss: 3.1886 (4.1831)
2025-08-20,17:31:05 | INFO | Train Epoch: 0 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.1599 (4.1704) Loss: 3.1599 (4.1704)
2025-08-20,17:32:14 | INFO | Train Epoch: 0 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.3912 (4.1607) Loss: 3.3912 (4.1607)
2025-08-20,17:33:24 | INFO | Train Epoch: 0 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.4865 (4.1525) Loss: 3.4865 (4.1525)
2025-08-20,17:34:34 | INFO | Train Epoch: 0 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.3490 (4.1428) Loss: 3.3490 (4.1428)
2025-08-20,17:35:43 | INFO | Train Epoch: 0 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.1768 (4.1313) Loss: 3.1768 (4.1313)
2025-08-20,17:36:53 | INFO | Train Epoch: 0 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.1152 (4.1194) Loss: 3.1152 (4.1194)
2025-08-20,17:38:03 | INFO | Train Epoch: 0 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.2744 (4.1096) Loss: 3.2744 (4.1096)
2025-08-20,17:39:13 | INFO | Train Epoch: 0 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.1056 (4.0980) Loss: 3.1056 (4.0980)
2025-08-20,17:40:22 | INFO | Train Epoch: 0 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0838 (4.0865) Loss: 3.0838 (4.0865)
2025-08-20,17:41:32 | INFO | Train Epoch: 0 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.1183 (4.0756) Loss: 3.1183 (4.0756)
2025-08-20,17:42:42 | INFO | Train Epoch: 0 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.2226 (4.0661) Loss: 3.2226 (4.0661)
2025-08-20,17:43:52 | INFO | Train Epoch: 0 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.1342 (4.0559) Loss: 3.1342 (4.0559)
2025-08-20,17:45:02 | INFO | Train Epoch: 0 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0729 (4.0452) Loss: 3.0729 (4.0452)
2025-08-20,17:46:11 | INFO | Train Epoch: 0 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.2134 (4.0363) Loss: 3.2134 (4.0363)
2025-08-20,17:47:21 | INFO | Train Epoch: 0 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0308 (4.0256) Loss: 3.0308 (4.0256)
2025-08-20,17:48:31 | INFO | Train Epoch: 0 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0901 (4.0157) Loss: 3.0901 (4.0157)
2025-08-20,17:49:41 | INFO | Train Epoch: 0 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.2574 (4.0078) Loss: 3.2574 (4.0078)
2025-08-20,17:50:50 | INFO | Train Epoch: 0 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0638 (3.9981) Loss: 3.0638 (3.9981)
2025-08-20,17:52:00 | INFO | Train Epoch: 0 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.1485 (3.9894) Loss: 3.1485 (3.9894)
2025-08-20,17:53:10 | INFO | Train Epoch: 0 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0850 (3.9803) Loss: 3.0850 (3.9803)
2025-08-20,17:54:20 | INFO | Train Epoch: 0 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0644 (3.9711) Loss: 3.0644 (3.9711)
2025-08-20,17:55:29 | INFO | Train Epoch: 0 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0771 (3.9623) Loss: 3.0771 (3.9623)
2025-08-20,17:56:39 | INFO | Train Epoch: 0 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0701 (3.9535) Loss: 3.0701 (3.9535)
2025-08-20,17:57:49 | INFO | Train Epoch: 0 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.9666 (3.9439) Loss: 2.9666 (3.9439)
2025-08-20,17:58:58 | INFO | Train Epoch: 0 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0206 (3.9351) Loss: 3.0206 (3.9351)
2025-08-20,18:00:08 | INFO | Train Epoch: 0 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8938 (3.9251) Loss: 2.8938 (3.9251)
2025-08-20,18:01:18 | INFO | Train Epoch: 0 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0634 (3.9170) Loss: 3.0634 (3.9170)
2025-08-20,18:02:28 | INFO | Train Epoch: 0 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.9442 (3.9079) Loss: 2.9442 (3.9079)
2025-08-20,18:03:37 | INFO | Train Epoch: 0 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0477 (3.9000) Loss: 3.0477 (3.9000)
2025-08-20,18:04:47 | INFO | Train Epoch: 0 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0316 (3.8920) Loss: 3.0316 (3.8920)
2025-08-20,18:05:57 | INFO | Train Epoch: 0 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.9876 (3.8838) Loss: 2.9876 (3.8838)
2025-08-20,18:07:07 | INFO | Train Epoch: 0 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.9386 (3.8753) Loss: 2.9386 (3.8753)
2025-08-20,18:08:17 | INFO | Train Epoch: 0 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.9770 (3.8672) Loss: 2.9770 (3.8672)
2025-08-20,18:09:27 | INFO | Train Epoch: 0 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.9417 (3.8590) Loss: 2.9417 (3.8590)
2025-08-20,18:10:36 | INFO | Train Epoch: 0 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0896 (3.8523) Loss: 3.0896 (3.8523)
2025-08-20,18:11:46 | INFO | Train Epoch: 0 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8775 (3.8438) Loss: 2.8775 (3.8438)
2025-08-20,18:12:56 | INFO | Train Epoch: 0 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7981 (3.8348) Loss: 2.7981 (3.8348)
2025-08-20,18:14:06 | INFO | Train Epoch: 0 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 3.0137 (3.8278) Loss: 3.0137 (3.8278)
2025-08-20,18:15:16 | INFO | Train Epoch: 0 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.9928 (3.8207) Loss: 2.9928 (3.8207)
2025-08-20,18:16:25 | INFO | Train Epoch: 0 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8735 (3.8128) Loss: 2.8735 (3.8128)
2025-08-20,18:17:35 | INFO | Train Epoch: 0 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7883 (3.8042) Loss: 2.7883 (3.8042)
2025-08-20,18:18:45 | INFO | Train Epoch: 0 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.9052 (3.7968) Loss: 2.9052 (3.7968)
2025-08-20,18:19:55 | INFO | Train Epoch: 0 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8440 (3.7890) Loss: 2.8440 (3.7890)
2025-08-20,18:21:05 | INFO | Train Epoch: 0 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8998 (3.7817) Loss: 2.8998 (3.7817)
2025-08-20,18:22:15 | INFO | Train Epoch: 0 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8741 (3.7744) Loss: 2.8741 (3.7744)
2025-08-20,18:23:25 | INFO | Train Epoch: 0 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7483 (3.7662) Loss: 2.7483 (3.7662)
2025-08-20,18:24:34 | INFO | Train Epoch: 0 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8815 (3.7592) Loss: 2.8815 (3.7592)
2025-08-20,18:25:44 | INFO | Train Epoch: 0 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7344 (3.7511) Loss: 2.7344 (3.7511)
2025-08-20,18:26:54 | INFO | Train Epoch: 0 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8022 (3.7437) Loss: 2.8022 (3.7437)
2025-08-20,18:28:04 | INFO | Train Epoch: 0 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8587 (3.7369) Loss: 2.8587 (3.7369)
2025-08-20,18:29:14 | INFO | Train Epoch: 0 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6351 (3.7284) Loss: 2.6351 (3.7284)
2025-08-20,18:30:24 | INFO | Train Epoch: 0 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7753 (3.7211) Loss: 2.7753 (3.7211)
2025-08-20,18:31:33 | INFO | Train Epoch: 0 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7271 (3.7136) Loss: 2.7271 (3.7136)
2025-08-20,18:32:43 | INFO | Train Epoch: 0 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7374 (3.7062) Loss: 2.7374 (3.7062)
2025-08-20,18:33:53 | INFO | Train Epoch: 0 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8297 (3.6997) Loss: 2.8297 (3.6997)
2025-08-20,18:35:03 | INFO | Train Epoch: 0 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7751 (3.6928) Loss: 2.7751 (3.6928)
2025-08-20,18:36:13 | INFO | Train Epoch: 0 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7214 (3.6857) Loss: 2.7214 (3.6857)
2025-08-20,18:37:23 | INFO | Train Epoch: 0 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6075 (3.6778) Loss: 2.6075 (3.6778)
2025-08-20,18:38:33 | INFO | Train Epoch: 0 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7907 (3.6714) Loss: 2.7907 (3.6714)
2025-08-20,18:39:43 | INFO | Train Epoch: 0 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6899 (3.6643) Loss: 2.6899 (3.6643)
2025-08-20,18:40:53 | INFO | Train Epoch: 0 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7729 (3.6580) Loss: 2.7729 (3.6580)
2025-08-20,18:42:02 | INFO | Train Epoch: 0 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7440 (3.6515) Loss: 2.7440 (3.6515)
2025-08-20,18:43:12 | INFO | Train Epoch: 0 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6270 (3.6443) Loss: 2.6270 (3.6443)
2025-08-20,18:44:22 | INFO | Train Epoch: 0 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6790 (3.6375) Loss: 2.6790 (3.6375)
2025-08-20,18:45:32 | INFO | Train Epoch: 0 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7359 (3.6313) Loss: 2.7359 (3.6313)
2025-08-20,18:46:42 | INFO | Train Epoch: 0 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6841 (3.6247) Loss: 2.6841 (3.6247)
2025-08-20,18:47:52 | INFO | Train Epoch: 0 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5393 (3.6173) Loss: 2.5393 (3.6173)
2025-08-20,18:49:02 | INFO | Train Epoch: 0 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6020 (3.6104) Loss: 2.6020 (3.6104)
2025-08-20,18:50:12 | INFO | Train Epoch: 0 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5191 (3.6030) Loss: 2.5191 (3.6030)
2025-08-20,18:51:22 | INFO | Train Epoch: 0 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5475 (3.5959) Loss: 2.5475 (3.5959)
2025-08-20,18:52:32 | INFO | Train Epoch: 0 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.8506 (3.5910) Loss: 2.8506 (3.5910)
2025-08-20,18:53:42 | INFO | Train Epoch: 0 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6223 (3.5846) Loss: 2.6223 (3.5846)
2025-08-20,18:54:52 | INFO | Train Epoch: 0 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6296 (3.5783) Loss: 2.6296 (3.5783)
2025-08-20,18:56:02 | INFO | Train Epoch: 0 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7885 (3.5731) Loss: 2.7885 (3.5731)
2025-08-20,18:57:12 | INFO | Train Epoch: 0 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.7512 (3.5678) Loss: 2.7512 (3.5678)
2025-08-20,18:58:22 | INFO | Train Epoch: 0 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6735 (3.5620) Loss: 2.6735 (3.5620)
2025-08-20,18:59:32 | INFO | Train Epoch: 0 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4569 (3.5549) Loss: 2.4569 (3.5549)
2025-08-20,19:00:41 | INFO | Train Epoch: 0 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6118 (3.5489) Loss: 2.6118 (3.5489)
2025-08-20,19:01:51 | INFO | Train Epoch: 0 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5061 (3.5423) Loss: 2.5061 (3.5423)
2025-08-20,19:03:01 | INFO | Train Epoch: 0 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5237 (3.5359) Loss: 2.5237 (3.5359)
2025-08-20,19:04:11 | INFO | Train Epoch: 0 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5762 (3.5299) Loss: 2.5762 (3.5299)
2025-08-20,19:05:21 | INFO | Train Epoch: 0 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5787 (3.5240) Loss: 2.5787 (3.5240)
2025-08-20,19:06:31 | INFO | Train Epoch: 0 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4513 (3.5174) Loss: 2.4513 (3.5174)
2025-08-20,19:07:41 | INFO | Train Epoch: 0 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5050 (3.5112) Loss: 2.5050 (3.5112)
2025-08-20,19:08:51 | INFO | Train Epoch: 0 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5052 (3.5050) Loss: 2.5052 (3.5050)
2025-08-20,19:10:01 | INFO | Train Epoch: 0 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5671 (3.4993) Loss: 2.5671 (3.4993)
2025-08-20,19:11:11 | INFO | Train Epoch: 0 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6256 (3.4941) Loss: 2.6256 (3.4941)
2025-08-20,19:12:21 | INFO | Train Epoch: 0 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6929 (3.4893) Loss: 2.6929 (3.4893)
2025-08-20,19:13:31 | INFO | Train Epoch: 0 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4223 (3.4829) Loss: 2.4223 (3.4829)
2025-08-20,19:14:41 | INFO | Train Epoch: 0 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5120 (3.4772) Loss: 2.5120 (3.4772)
2025-08-20,19:15:51 | INFO | Train Epoch: 0 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5501 (3.4717) Loss: 2.5501 (3.4717)
2025-08-20,19:17:01 | INFO | Train Epoch: 0 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.6522 (3.4669) Loss: 2.6522 (3.4669)
2025-08-20,19:18:11 | INFO | Train Epoch: 0 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5266 (3.4615) Loss: 2.5266 (3.4615)
2025-08-20,19:19:20 | INFO | Train Epoch: 0 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5651 (3.4563) Loss: 2.5651 (3.4563)
2025-08-20,19:20:30 | INFO | Train Epoch: 0 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4707 (3.4506) Loss: 2.4707 (3.4506)
2025-08-20,19:21:40 | INFO | Train Epoch: 0 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5008 (3.4452) Loss: 2.5008 (3.4452)
2025-08-20,19:22:50 | INFO | Train Epoch: 0 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2047 (3.4382) Loss: 2.2047 (3.4382)
2025-08-20,19:24:00 | INFO | Train Epoch: 0 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5096 (3.4329) Loss: 2.5096 (3.4329)
2025-08-20,19:25:10 | INFO | Train Epoch: 0 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5614 (3.4280) Loss: 2.5614 (3.4280)
2025-08-20,19:26:20 | INFO | Train Epoch: 0 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3857 (3.4222) Loss: 2.3857 (3.4222)
2025-08-20,19:27:30 | INFO | Train Epoch: 0 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5157 (3.4172) Loss: 2.5157 (3.4172)
2025-08-20,19:28:39 | INFO | Train Epoch: 0 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4774 (3.4120) Loss: 2.4774 (3.4120)
2025-08-20,19:29:49 | INFO | Train Epoch: 0 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5987 (3.4075) Loss: 2.5987 (3.4075)
2025-08-20,19:30:59 | INFO | Train Epoch: 0 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4427 (3.4022) Loss: 2.4427 (3.4022)
2025-08-20,19:32:09 | INFO | Train Epoch: 0 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4733 (3.3972) Loss: 2.4733 (3.3972)
2025-08-20,19:33:19 | INFO | Train Epoch: 0 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4848 (3.3922) Loss: 2.4848 (3.3922)
2025-08-20,19:34:29 | INFO | Train Epoch: 0 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3104 (3.3864) Loss: 2.3104 (3.3864)
2025-08-20,19:35:39 | INFO | Train Epoch: 0 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3801 (3.3810) Loss: 2.3801 (3.3810)
2025-08-20,19:36:49 | INFO | Train Epoch: 0 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3876 (3.3758) Loss: 2.3876 (3.3758)
2025-08-20,19:37:59 | INFO | Train Epoch: 0 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3039 (3.3701) Loss: 2.3039 (3.3701)
2025-08-20,19:39:08 | INFO | Train Epoch: 0 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3974 (3.3650) Loss: 2.3974 (3.3650)
2025-08-20,19:40:18 | INFO | Train Epoch: 0 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4644 (3.3603) Loss: 2.4644 (3.3603)
2025-08-20,19:41:28 | INFO | Train Epoch: 0 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4622 (3.3556) Loss: 2.4622 (3.3556)
2025-08-20,19:42:38 | INFO | Train Epoch: 0 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3582 (3.3504) Loss: 2.3582 (3.3504)
2025-08-20,19:43:48 | INFO | Train Epoch: 0 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3654 (3.3453) Loss: 2.3654 (3.3453)
2025-08-20,19:44:58 | INFO | Train Epoch: 0 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4106 (3.3405) Loss: 2.4106 (3.3405)
2025-08-20,19:46:08 | INFO | Train Epoch: 0 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2254 (3.3348) Loss: 2.2254 (3.3348)
2025-08-20,19:47:18 | INFO | Train Epoch: 0 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2995 (3.3296) Loss: 2.2995 (3.3296)
2025-08-20,19:48:28 | INFO | Train Epoch: 0 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4256 (3.3250) Loss: 2.4256 (3.3250)
2025-08-20,19:49:38 | INFO | Train Epoch: 0 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2700 (3.3197) Loss: 2.2700 (3.3197)
2025-08-20,19:50:48 | INFO | Train Epoch: 0 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4516 (3.3154) Loss: 2.4516 (3.3154)
2025-08-20,19:51:57 | INFO | Train Epoch: 0 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3997 (3.3108) Loss: 2.3997 (3.3108)
2025-08-20,19:53:07 | INFO | Train Epoch: 0 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2862 (3.3058) Loss: 2.2862 (3.3058)
2025-08-20,19:54:17 | INFO | Train Epoch: 0 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2746 (3.3007) Loss: 2.2746 (3.3007)
2025-08-20,19:55:27 | INFO | Train Epoch: 0 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5153 (3.2968) Loss: 2.5153 (3.2968)
2025-08-20,19:56:37 | INFO | Train Epoch: 0 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4420 (3.2927) Loss: 2.4420 (3.2927)
2025-08-20,19:57:47 | INFO | Train Epoch: 0 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.5517 (3.2891) Loss: 2.5517 (3.2891)
2025-08-20,19:58:57 | INFO | Train Epoch: 0 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4356 (3.2849) Loss: 2.4356 (3.2849)
2025-08-20,20:00:07 | INFO | Train Epoch: 0 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2228 (3.2798) Loss: 2.2228 (3.2798)
2025-08-20,20:01:17 | INFO | Train Epoch: 0 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3000 (3.2751) Loss: 2.3000 (3.2751)
2025-08-20,20:02:27 | INFO | Train Epoch: 0 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2393 (3.2702) Loss: 2.2393 (3.2702)
2025-08-20,20:03:36 | INFO | Train Epoch: 0 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3250 (3.2657) Loss: 2.3250 (3.2657)
2025-08-20,20:04:46 | INFO | Train Epoch: 0 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2448 (3.2609) Loss: 2.2448 (3.2609)
2025-08-20,20:05:56 | INFO | Train Epoch: 0 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4160 (3.2569) Loss: 2.4160 (3.2569)
2025-08-20,20:07:06 | INFO | Train Epoch: 0 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0996 (3.2515) Loss: 2.0996 (3.2515)
2025-08-20,20:08:16 | INFO | Train Epoch: 0 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4454 (3.2478) Loss: 2.4454 (3.2478)
2025-08-20,20:09:26 | INFO | Train Epoch: 0 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1395 (3.2427) Loss: 2.1395 (3.2427)
2025-08-20,20:10:36 | INFO | Train Epoch: 0 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2865 (3.2383) Loss: 2.2865 (3.2383)
2025-08-20,20:11:46 | INFO | Train Epoch: 0 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1152 (3.2331) Loss: 2.1152 (3.2331)
2025-08-20,20:12:55 | INFO | Train Epoch: 0 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2561 (3.2286) Loss: 2.2561 (3.2286)
2025-08-20,20:14:05 | INFO | Train Epoch: 0 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1477 (3.2237) Loss: 2.1477 (3.2237)
2025-08-20,20:15:15 | INFO | Train Epoch: 0 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2251 (3.2192) Loss: 2.2251 (3.2192)
2025-08-20,20:16:25 | INFO | Train Epoch: 0 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2131 (3.2147) Loss: 2.2131 (3.2147)
2025-08-20,20:17:35 | INFO | Train Epoch: 0 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2438 (3.2103) Loss: 2.2438 (3.2103)
2025-08-20,20:18:45 | INFO | Train Epoch: 0 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2134 (3.2059) Loss: 2.2134 (3.2059)
2025-08-20,20:19:55 | INFO | Train Epoch: 0 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1533 (3.2012) Loss: 2.1533 (3.2012)
2025-08-20,20:21:05 | INFO | Train Epoch: 0 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2499 (3.1970) Loss: 2.2499 (3.1970)
2025-08-20,20:22:15 | INFO | Train Epoch: 0 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3449 (3.1932) Loss: 2.3449 (3.1932)
2025-08-20,20:23:25 | INFO | Train Epoch: 0 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2204 (3.1890) Loss: 2.2204 (3.1890)
2025-08-20,20:24:35 | INFO | Train Epoch: 0 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1470 (3.1844) Loss: 2.1470 (3.1844)
2025-08-20,20:25:45 | INFO | Train Epoch: 0 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1885 (3.1801) Loss: 2.1885 (3.1801)
2025-08-20,20:26:55 | INFO | Train Epoch: 0 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2282 (3.1760) Loss: 2.2282 (3.1760)
2025-08-20,20:28:05 | INFO | Train Epoch: 0 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2163 (3.1718) Loss: 2.2163 (3.1718)
2025-08-20,20:29:15 | INFO | Train Epoch: 0 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2351 (3.1678) Loss: 2.2351 (3.1678)
2025-08-20,20:30:25 | INFO | Train Epoch: 0 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1519 (3.1635) Loss: 2.1519 (3.1635)
2025-08-20,20:31:35 | INFO | Train Epoch: 0 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2374 (3.1595) Loss: 2.2374 (3.1595)
2025-08-20,20:32:44 | INFO | Train Epoch: 0 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1335 (3.1552) Loss: 2.1335 (3.1552)
2025-08-20,20:33:54 | INFO | Train Epoch: 0 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0753 (3.1506) Loss: 2.0753 (3.1506)
2025-08-20,20:35:04 | INFO | Train Epoch: 0 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2351 (3.1468) Loss: 2.2351 (3.1468)
2025-08-20,20:36:14 | INFO | Train Epoch: 0 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1381 (3.1426) Loss: 2.1381 (3.1426)
2025-08-20,20:37:24 | INFO | Train Epoch: 0 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2559 (3.1389) Loss: 2.2559 (3.1389)
2025-08-20,20:38:34 | INFO | Train Epoch: 0 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1455 (3.1347) Loss: 2.1455 (3.1347)
2025-08-20,20:39:44 | INFO | Train Epoch: 0 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2958 (3.1313) Loss: 2.2958 (3.1313)
2025-08-20,20:40:54 | INFO | Train Epoch: 0 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1587 (3.1273) Loss: 2.1587 (3.1273)
2025-08-20,20:42:04 | INFO | Train Epoch: 0 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.3722 (3.1242) Loss: 2.3722 (3.1242)
2025-08-20,20:43:14 | INFO | Train Epoch: 0 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0045 (3.1196) Loss: 2.0045 (3.1196)
2025-08-20,20:44:23 | INFO | Train Epoch: 0 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.4124 (3.1167) Loss: 2.4124 (3.1167)
2025-08-20,20:45:33 | INFO | Train Epoch: 0 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2843 (3.1134) Loss: 2.2843 (3.1134)
2025-08-20,20:46:43 | INFO | Train Epoch: 0 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9787 (3.1088) Loss: 1.9787 (3.1088)
2025-08-20,20:47:53 | INFO | Train Epoch: 0 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2828 (3.1055) Loss: 2.2828 (3.1055)
2025-08-20,20:49:03 | INFO | Train Epoch: 0 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1647 (3.1017) Loss: 2.1647 (3.1017)
2025-08-20,20:50:13 | INFO | Train Epoch: 0 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1149 (3.0978) Loss: 2.1149 (3.0978)
2025-08-20,20:51:23 | INFO | Train Epoch: 0 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1137 (3.0939) Loss: 2.1137 (3.0939)
2025-08-20,20:52:33 | INFO | Train Epoch: 0 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2425 (3.0905) Loss: 2.2425 (3.0905)
2025-08-20,20:53:43 | INFO | Train Epoch: 0 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0233 (3.0863) Loss: 2.0233 (3.0863)
2025-08-20,20:54:53 | INFO | Train Epoch: 0 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1463 (3.0826) Loss: 2.1463 (3.0826)
2025-08-20,20:56:03 | INFO | Train Epoch: 0 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1233 (3.0789) Loss: 2.1233 (3.0789)
2025-08-20,20:57:13 | INFO | Train Epoch: 0 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0572 (3.0749) Loss: 2.0572 (3.0749)
2025-08-20,20:58:23 | INFO | Train Epoch: 0 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0168 (3.0708) Loss: 2.0168 (3.0708)
2025-08-20,20:59:33 | INFO | Train Epoch: 0 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0699 (3.0669) Loss: 2.0699 (3.0669)
2025-08-20,21:00:43 | INFO | Train Epoch: 0 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0521 (3.0630) Loss: 2.0521 (3.0630)
2025-08-20,21:01:53 | INFO | Train Epoch: 0 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0894 (3.0593) Loss: 2.0894 (3.0593)
2025-08-20,21:03:03 | INFO | Train Epoch: 0 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9561 (3.0551) Loss: 1.9561 (3.0551)
2025-08-20,21:04:12 | INFO | Train Epoch: 0 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1208 (3.0515) Loss: 2.1208 (3.0515)
2025-08-20,21:05:22 | INFO | Train Epoch: 0 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0836 (3.0479) Loss: 2.0836 (3.0479)
2025-08-20,21:06:32 | INFO | Train Epoch: 0 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1881 (3.0446) Loss: 2.1881 (3.0446)
2025-08-20,21:07:42 | INFO | Train Epoch: 0 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0634 (3.0409) Loss: 2.0634 (3.0409)
2025-08-20,21:08:52 | INFO | Train Epoch: 0 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0557 (3.0372) Loss: 2.0557 (3.0372)
2025-08-20,21:10:02 | INFO | Train Epoch: 0 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0824 (3.0337) Loss: 2.0824 (3.0337)
2025-08-20,21:11:12 | INFO | Train Epoch: 0 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0821 (3.0301) Loss: 2.0821 (3.0301)
2025-08-20,21:12:22 | INFO | Train Epoch: 0 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9819 (3.0263) Loss: 1.9819 (3.0263)
2025-08-20,21:13:32 | INFO | Train Epoch: 0 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1399 (3.0230) Loss: 2.1399 (3.0230)
2025-08-20,21:14:41 | INFO | Train Epoch: 0 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1480 (3.0198) Loss: 2.1480 (3.0198)
2025-08-20,21:15:51 | INFO | Train Epoch: 0 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1103 (3.0164) Loss: 2.1103 (3.0164)
2025-08-20,21:17:01 | INFO | Train Epoch: 0 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2293 (3.0136) Loss: 2.2293 (3.0136)
2025-08-20,21:18:11 | INFO | Train Epoch: 0 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1524 (3.0104) Loss: 2.1524 (3.0104)
2025-08-20,21:19:21 | INFO | Train Epoch: 0 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1017 (3.0071) Loss: 2.1017 (3.0071)
2025-08-20,21:20:31 | INFO | Train Epoch: 0 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1586 (3.0041) Loss: 2.1586 (3.0041)
2025-08-20,21:21:41 | INFO | Train Epoch: 0 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0959 (3.0008) Loss: 2.0959 (3.0008)
2025-08-20,21:22:51 | INFO | Train Epoch: 0 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.2094 (2.9980) Loss: 2.2094 (2.9980)
2025-08-20,21:24:01 | INFO | Train Epoch: 0 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0157 (2.9945) Loss: 2.0157 (2.9945)
2025-08-20,21:25:11 | INFO | Train Epoch: 0 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0873 (2.9912) Loss: 2.0873 (2.9912)
2025-08-20,21:26:21 | INFO | Train Epoch: 0 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0577 (2.9879) Loss: 2.0577 (2.9879)
2025-08-20,21:27:31 | INFO | Train Epoch: 0 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0111 (2.9845) Loss: 2.0111 (2.9845)
2025-08-20,21:28:41 | INFO | Train Epoch: 0 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9311 (2.9808) Loss: 1.9311 (2.9808)
2025-08-20,21:29:51 | INFO | Train Epoch: 0 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9997 (2.9773) Loss: 1.9997 (2.9773)
2025-08-20,21:31:01 | INFO | Train Epoch: 0 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9251 (2.9736) Loss: 1.9251 (2.9736)
2025-08-20,21:32:11 | INFO | Train Epoch: 0 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8801 (2.9698) Loss: 1.8801 (2.9698)
2025-08-20,21:33:20 | INFO | Train Epoch: 0 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8758 (2.9660) Loss: 1.8758 (2.9660)
2025-08-20,21:34:30 | INFO | Train Epoch: 0 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0040 (2.9627) Loss: 2.0040 (2.9627)
2025-08-20,21:35:40 | INFO | Train Epoch: 0 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0897 (2.9597) Loss: 2.0897 (2.9597)
2025-08-20,21:36:50 | INFO | Train Epoch: 0 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9396 (2.9562) Loss: 1.9396 (2.9562)
2025-08-20,21:38:00 | INFO | Train Epoch: 0 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0519 (2.9531) Loss: 2.0519 (2.9531)
2025-08-20,21:39:10 | INFO | Train Epoch: 0 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9980 (2.9498) Loss: 1.9980 (2.9498)
2025-08-20,21:40:20 | INFO | Train Epoch: 0 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0672 (2.9468) Loss: 2.0672 (2.9468)
2025-08-20,21:41:30 | INFO | Train Epoch: 0 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0229 (2.9437) Loss: 2.0229 (2.9437)
2025-08-20,21:42:40 | INFO | Train Epoch: 0 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0062 (2.9405) Loss: 2.0062 (2.9405)
2025-08-20,21:43:50 | INFO | Train Epoch: 0 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9771 (2.9373) Loss: 1.9771 (2.9373)
2025-08-20,21:44:59 | INFO | Train Epoch: 0 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9594 (2.9340) Loss: 1.9594 (2.9340)
2025-08-20,21:46:09 | INFO | Train Epoch: 0 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0218 (2.9310) Loss: 2.0218 (2.9310)
2025-08-20,21:47:19 | INFO | Train Epoch: 0 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9216 (2.9276) Loss: 1.9216 (2.9276)
2025-08-20,21:48:29 | INFO | Train Epoch: 0 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9697 (2.9244) Loss: 1.9697 (2.9244)
2025-08-20,21:49:39 | INFO | Train Epoch: 0 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9171 (2.9211) Loss: 1.9171 (2.9211)
2025-08-20,21:50:49 | INFO | Train Epoch: 0 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9212 (2.9178) Loss: 1.9212 (2.9178)
2025-08-20,21:51:59 | INFO | Train Epoch: 0 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0487 (2.9149) Loss: 2.0487 (2.9149)
2025-08-20,21:53:09 | INFO | Train Epoch: 0 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8689 (2.9115) Loss: 1.8689 (2.9115)
2025-08-20,21:54:19 | INFO | Train Epoch: 0 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9182 (2.9082) Loss: 1.9182 (2.9082)
2025-08-20,21:55:29 | INFO | Train Epoch: 0 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8896 (2.9049) Loss: 1.8896 (2.9049)
2025-08-20,21:56:39 | INFO | Train Epoch: 0 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0047 (2.9020) Loss: 2.0047 (2.9020)
2025-08-20,21:57:49 | INFO | Train Epoch: 0 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0636 (2.8993) Loss: 2.0636 (2.8993)
2025-08-20,21:58:59 | INFO | Train Epoch: 0 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1363 (2.8968) Loss: 2.1363 (2.8968)
2025-08-20,22:00:08 | INFO | Train Epoch: 0 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9751 (2.8939) Loss: 1.9751 (2.8939)
2025-08-20,22:01:18 | INFO | Train Epoch: 0 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0371 (2.8911) Loss: 2.0371 (2.8911)
2025-08-20,22:02:28 | INFO | Train Epoch: 0 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0738 (2.8885) Loss: 2.0738 (2.8885)
2025-08-20,22:03:38 | INFO | Train Epoch: 0 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8742 (2.8853) Loss: 1.8742 (2.8853)
2025-08-20,22:04:48 | INFO | Train Epoch: 0 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9670 (2.8824) Loss: 1.9670 (2.8824)
2025-08-20,22:05:58 | INFO | Train Epoch: 0 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8492 (2.8791) Loss: 1.8492 (2.8791)
2025-08-20,22:07:08 | INFO | Train Epoch: 0 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8811 (2.8759) Loss: 1.8811 (2.8759)
2025-08-20,22:08:17 | INFO | Train Epoch: 0 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8924 (2.8728) Loss: 1.8924 (2.8728)
2025-08-20,22:09:27 | INFO | Train Epoch: 0 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8391 (2.8696) Loss: 1.8391 (2.8696)
2025-08-20,22:10:37 | INFO | Train Epoch: 0 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8712 (2.8665) Loss: 1.8712 (2.8665)
2025-08-20,22:11:47 | INFO | Train Epoch: 0 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9762 (2.8637) Loss: 1.9762 (2.8637)
2025-08-20,22:12:57 | INFO | Train Epoch: 0 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8971 (2.8607) Loss: 1.8971 (2.8607)
2025-08-20,22:14:07 | INFO | Train Epoch: 0 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0721 (2.8583) Loss: 2.0721 (2.8583)
2025-08-20,22:15:17 | INFO | Train Epoch: 0 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7979 (2.8550) Loss: 1.7979 (2.8550)
2025-08-20,22:16:27 | INFO | Train Epoch: 0 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9044 (2.8521) Loss: 1.9044 (2.8521)
2025-08-20,22:17:37 | INFO | Train Epoch: 0 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9177 (2.8492) Loss: 1.9177 (2.8492)
2025-08-20,22:18:47 | INFO | Train Epoch: 0 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8922 (2.8463) Loss: 1.8922 (2.8463)
2025-08-20,22:19:57 | INFO | Train Epoch: 0 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9078 (2.8434) Loss: 1.9078 (2.8434)
2025-08-20,22:21:07 | INFO | Train Epoch: 0 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9127 (2.8406) Loss: 1.9127 (2.8406)
2025-08-20,22:22:16 | INFO | Train Epoch: 0 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8092 (2.8375) Loss: 1.8092 (2.8375)
2025-08-20,22:23:26 | INFO | Train Epoch: 0 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1084 (2.8353) Loss: 2.1084 (2.8353)
2025-08-20,22:24:36 | INFO | Train Epoch: 0 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7068 (2.8319) Loss: 1.7068 (2.8319)
2025-08-20,22:25:46 | INFO | Train Epoch: 0 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9415 (2.8292) Loss: 1.9415 (2.8292)
2025-08-20,22:26:56 | INFO | Train Epoch: 0 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8277 (2.8262) Loss: 1.8277 (2.8262)
2025-08-20,22:28:06 | INFO | Train Epoch: 0 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7151 (2.8229) Loss: 1.7151 (2.8229)
2025-08-20,22:29:16 | INFO | Train Epoch: 0 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8744 (2.8200) Loss: 1.8744 (2.8200)
2025-08-20,22:30:26 | INFO | Train Epoch: 0 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7766 (2.8170) Loss: 1.7766 (2.8170)
2025-08-20,22:31:36 | INFO | Train Epoch: 0 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9717 (2.8145) Loss: 1.9717 (2.8145)
2025-08-20,22:32:46 | INFO | Train Epoch: 0 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9381 (2.8119) Loss: 1.9381 (2.8119)
2025-08-20,22:33:56 | INFO | Train Epoch: 0 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9659 (2.8094) Loss: 1.9659 (2.8094)
2025-08-20,22:35:06 | INFO | Train Epoch: 0 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8390 (2.8065) Loss: 1.8390 (2.8065)
2025-08-20,22:36:15 | INFO | Train Epoch: 0 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.1031 (2.8045) Loss: 2.1031 (2.8045)
2025-08-20,22:37:25 | INFO | Train Epoch: 0 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8063 (2.8016) Loss: 1.8063 (2.8016)
2025-08-20,22:38:35 | INFO | Train Epoch: 0 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9298 (2.7990) Loss: 1.9298 (2.7990)
2025-08-20,22:39:45 | INFO | Train Epoch: 0 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9266 (2.7965) Loss: 1.9266 (2.7965)
2025-08-20,22:40:55 | INFO | Train Epoch: 0 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 2.0390 (2.7943) Loss: 2.0390 (2.7943)
2025-08-20,22:42:05 | INFO | Train Epoch: 0 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7362 (2.7913) Loss: 1.7362 (2.7913)
2025-08-20,22:43:14 | INFO | Train Epoch: 0 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9969 (2.7890) Loss: 1.9969 (2.7890)
2025-08-20,22:44:24 | INFO | Train Epoch: 0 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8229 (2.7862) Loss: 1.8229 (2.7862)
2025-08-20,22:45:34 | INFO | Train Epoch: 0 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8870 (2.7836) Loss: 1.8870 (2.7836)
2025-08-20,22:46:44 | INFO | Train Epoch: 0 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7906 (2.7808) Loss: 1.7906 (2.7808)
2025-08-20,22:47:54 | INFO | Train Epoch: 0 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9218 (2.7784) Loss: 1.9218 (2.7784)
2025-08-20,22:49:04 | INFO | Train Epoch: 0 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7699 (2.7755) Loss: 1.7699 (2.7755)
2025-08-20,22:50:14 | INFO | Train Epoch: 0 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7434 (2.7726) Loss: 1.7434 (2.7726)
2025-08-20,22:51:23 | INFO | Train Epoch: 0 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7720 (2.7698) Loss: 1.7720 (2.7698)
2025-08-20,22:52:33 | INFO | Train Epoch: 0 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9337 (2.7674) Loss: 1.9337 (2.7674)
2025-08-20,22:53:43 | INFO | Train Epoch: 0 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8167 (2.7648) Loss: 1.8167 (2.7648)
2025-08-20,22:54:53 | INFO | Train Epoch: 0 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8817 (2.7623) Loss: 1.8817 (2.7623)
2025-08-20,22:56:03 | INFO | Train Epoch: 0 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7318 (2.7594) Loss: 1.7318 (2.7594)
2025-08-20,22:57:13 | INFO | Train Epoch: 0 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8691 (2.7570) Loss: 1.8691 (2.7570)
2025-08-20,22:58:23 | INFO | Train Epoch: 0 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9209 (2.7546) Loss: 1.9209 (2.7546)
2025-08-20,22:59:33 | INFO | Train Epoch: 0 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6713 (2.7517) Loss: 1.6713 (2.7517)
2025-08-20,23:00:43 | INFO | Train Epoch: 0 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9527 (2.7495) Loss: 1.9527 (2.7495)
2025-08-20,23:01:53 | INFO | Train Epoch: 0 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8719 (2.7470) Loss: 1.8719 (2.7470)
2025-08-20,23:03:03 | INFO | Train Epoch: 0 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8655 (2.7446) Loss: 1.8655 (2.7446)
2025-08-20,23:04:13 | INFO | Train Epoch: 0 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8462 (2.7422) Loss: 1.8462 (2.7422)
2025-08-20,23:05:23 | INFO | Train Epoch: 0 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8675 (2.7398) Loss: 1.8675 (2.7398)
2025-08-20,23:06:32 | INFO | Train Epoch: 0 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8527 (2.7374) Loss: 1.8527 (2.7374)
2025-08-20,23:07:42 | INFO | Train Epoch: 0 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6213 (2.7344) Loss: 1.6213 (2.7344)
2025-08-20,23:08:52 | INFO | Train Epoch: 0 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9006 (2.7321) Loss: 1.9006 (2.7321)
2025-08-20,23:10:02 | INFO | Train Epoch: 0 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7440 (2.7294) Loss: 1.7440 (2.7294)
2025-08-20,23:11:12 | INFO | Train Epoch: 0 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9041 (2.7272) Loss: 1.9041 (2.7272)
2025-08-20,23:12:22 | INFO | Train Epoch: 0 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8338 (2.7248) Loss: 1.8338 (2.7248)
2025-08-20,23:13:32 | INFO | Train Epoch: 0 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5818 (2.7218) Loss: 1.5818 (2.7218)
2025-08-20,23:14:42 | INFO | Train Epoch: 0 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9128 (2.7196) Loss: 1.9128 (2.7196)
2025-08-20,23:15:52 | INFO | Train Epoch: 0 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7412 (2.7170) Loss: 1.7412 (2.7170)
2025-08-20,23:17:02 | INFO | Train Epoch: 0 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6328 (2.7141) Loss: 1.6328 (2.7141)
2025-08-20,23:18:12 | INFO | Train Epoch: 0 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7562 (2.7116) Loss: 1.7562 (2.7116)
2025-08-20,23:19:22 | INFO | Train Epoch: 0 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6668 (2.7088) Loss: 1.6668 (2.7088)
2025-08-20,23:20:32 | INFO | Train Epoch: 0 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8618 (2.7066) Loss: 1.8618 (2.7066)
2025-08-20,23:21:41 | INFO | Train Epoch: 0 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8661 (2.7044) Loss: 1.8661 (2.7044)
2025-08-20,23:22:51 | INFO | Train Epoch: 0 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7638 (2.7019) Loss: 1.7638 (2.7019)
2025-08-20,23:24:01 | INFO | Train Epoch: 0 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8095 (2.6996) Loss: 1.8095 (2.6996)
2025-08-20,23:25:11 | INFO | Train Epoch: 0 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5620 (2.6967) Loss: 1.5620 (2.6967)
2025-08-20,23:26:21 | INFO | Train Epoch: 0 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.9101 (2.6946) Loss: 1.9101 (2.6946)
2025-08-20,23:27:31 | INFO | Train Epoch: 0 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8246 (2.6924) Loss: 1.8246 (2.6924)
2025-08-20,23:28:41 | INFO | Train Epoch: 0 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6478 (2.6897) Loss: 1.6478 (2.6897)
2025-08-20,23:29:51 | INFO | Train Epoch: 0 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7080 (2.6871) Loss: 1.7080 (2.6871)
2025-08-20,23:31:01 | INFO | Train Epoch: 0 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7492 (2.6847) Loss: 1.7492 (2.6847)
2025-08-20,23:32:11 | INFO | Train Epoch: 0 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7907 (2.6824) Loss: 1.7907 (2.6824)
2025-08-20,23:33:21 | INFO | Train Epoch: 0 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6967 (2.6799) Loss: 1.6967 (2.6799)
2025-08-20,23:34:31 | INFO | Train Epoch: 0 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6938 (2.6774) Loss: 1.6938 (2.6774)
2025-08-20,23:35:41 | INFO | Train Epoch: 0 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8203 (2.6752) Loss: 1.8203 (2.6752)
2025-08-20,23:36:51 | INFO | Train Epoch: 0 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7251 (2.6728) Loss: 1.7251 (2.6728)
2025-08-20,23:38:01 | INFO | Train Epoch: 0 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6535 (2.6702) Loss: 1.6535 (2.6702)
2025-08-20,23:39:11 | INFO | Train Epoch: 0 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7054 (2.6678) Loss: 1.7054 (2.6678)
2025-08-20,23:40:21 | INFO | Train Epoch: 0 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8058 (2.6656) Loss: 1.8058 (2.6656)
2025-08-20,23:41:31 | INFO | Train Epoch: 0 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7784 (2.6634) Loss: 1.7784 (2.6634)
2025-08-20,23:42:41 | INFO | Train Epoch: 0 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6882 (2.6609) Loss: 1.6882 (2.6609)
2025-08-20,23:43:51 | INFO | Train Epoch: 0 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7023 (2.6585) Loss: 1.7023 (2.6585)
2025-08-20,23:45:01 | INFO | Train Epoch: 0 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6965 (2.6561) Loss: 1.6965 (2.6561)
2025-08-20,23:46:10 | INFO | Train Epoch: 0 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6612 (2.6537) Loss: 1.6612 (2.6537)
2025-08-20,23:47:20 | INFO | Train Epoch: 0 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7227 (2.6513) Loss: 1.7227 (2.6513)
2025-08-20,23:48:30 | INFO | Train Epoch: 0 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7530 (2.6491) Loss: 1.7530 (2.6491)
2025-08-20,23:49:40 | INFO | Train Epoch: 0 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6577 (2.6467) Loss: 1.6577 (2.6467)
2025-08-20,23:50:50 | INFO | Train Epoch: 0 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7122 (2.6444) Loss: 1.7122 (2.6444)
2025-08-20,23:52:00 | INFO | Train Epoch: 0 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4550 (2.6415) Loss: 1.4550 (2.6415)
2025-08-20,23:53:10 | INFO | Train Epoch: 0 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7844 (2.6394) Loss: 1.7844 (2.6394)
2025-08-20,23:54:20 | INFO | Train Epoch: 0 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6489 (2.6369) Loss: 1.6489 (2.6369)
2025-08-20,23:55:30 | INFO | Train Epoch: 0 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6320 (2.6345) Loss: 1.6320 (2.6345)
2025-08-20,23:56:40 | INFO | Train Epoch: 0 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6776 (2.6322) Loss: 1.6776 (2.6322)
2025-08-20,23:57:50 | INFO | Train Epoch: 0 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.8193 (2.6302) Loss: 1.8193 (2.6302)
2025-08-20,23:59:00 | INFO | Train Epoch: 0 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5026 (2.6275) Loss: 1.5026 (2.6275)
2025-08-21,00:00:10 | INFO | Train Epoch: 0 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6313 (2.6250) Loss: 1.6313 (2.6250)
2025-08-21,00:01:20 | INFO | Train Epoch: 0 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7097 (2.6228) Loss: 1.7097 (2.6228)
2025-08-21,00:02:30 | INFO | Train Epoch: 0 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6579 (2.6205) Loss: 1.6579 (2.6205)
2025-08-21,00:03:40 | INFO | Train Epoch: 0 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6862 (2.6183) Loss: 1.6862 (2.6183)
2025-08-21,00:04:50 | INFO | Train Epoch: 0 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5693 (2.6158) Loss: 1.5693 (2.6158)
2025-08-21,00:06:00 | INFO | Train Epoch: 0 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6329 (2.6134) Loss: 1.6329 (2.6134)
2025-08-21,00:07:10 | INFO | Train Epoch: 0 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7645 (2.6114) Loss: 1.7645 (2.6114)
2025-08-21,00:08:20 | INFO | Train Epoch: 0 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6741 (2.6092) Loss: 1.6741 (2.6092)
2025-08-21,00:09:30 | INFO | Train Epoch: 0 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5370 (2.6066) Loss: 1.5370 (2.6066)
2025-08-21,00:10:40 | INFO | Train Epoch: 0 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7318 (2.6046) Loss: 1.7318 (2.6046)
2025-08-21,00:11:49 | INFO | Train Epoch: 0 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5526 (2.6021) Loss: 1.5526 (2.6021)
2025-08-21,00:12:59 | INFO | Train Epoch: 0 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6871 (2.5999) Loss: 1.6871 (2.5999)
2025-08-21,00:14:09 | INFO | Train Epoch: 0 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7539 (2.5979) Loss: 1.7539 (2.5979)
2025-08-21,00:15:19 | INFO | Train Epoch: 0 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7891 (2.5961) Loss: 1.7891 (2.5961)
2025-08-21,00:16:29 | INFO | Train Epoch: 0 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6911 (2.5939) Loss: 1.6911 (2.5939)
2025-08-21,00:17:39 | INFO | Train Epoch: 0 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6357 (2.5917) Loss: 1.6357 (2.5917)
2025-08-21,00:18:49 | INFO | Train Epoch: 0 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4840 (2.5891) Loss: 1.4840 (2.5891)
2025-08-21,00:19:59 | INFO | Train Epoch: 0 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7315 (2.5871) Loss: 1.7315 (2.5871)
2025-08-21,00:21:09 | INFO | Train Epoch: 0 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6346 (2.5849) Loss: 1.6346 (2.5849)
2025-08-21,00:22:19 | INFO | Train Epoch: 0 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5462 (2.5825) Loss: 1.5462 (2.5825)
2025-08-21,00:23:29 | INFO | Train Epoch: 0 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6662 (2.5804) Loss: 1.6662 (2.5804)
2025-08-21,00:24:39 | INFO | Train Epoch: 0 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7645 (2.5785) Loss: 1.7645 (2.5785)
2025-08-21,00:25:49 | INFO | Train Epoch: 0 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7383 (2.5766) Loss: 1.7383 (2.5766)
2025-08-21,00:26:59 | INFO | Train Epoch: 0 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5806 (2.5743) Loss: 1.5806 (2.5743)
2025-08-21,00:28:09 | INFO | Train Epoch: 0 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5693 (2.5720) Loss: 1.5693 (2.5720)
2025-08-21,00:29:19 | INFO | Train Epoch: 0 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5000 (2.5696) Loss: 1.5000 (2.5696)
2025-08-21,00:30:29 | INFO | Train Epoch: 0 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5962 (2.5674) Loss: 1.5962 (2.5674)
2025-08-21,00:31:39 | INFO | Train Epoch: 0 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7201 (2.5655) Loss: 1.7201 (2.5655)
2025-08-21,00:32:49 | INFO | Train Epoch: 0 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5524 (2.5632) Loss: 1.5524 (2.5632)
2025-08-21,00:33:59 | INFO | Train Epoch: 0 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6824 (2.5612) Loss: 1.6824 (2.5612)
2025-08-21,00:35:08 | INFO | Train Epoch: 0 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6479 (2.5591) Loss: 1.6479 (2.5591)
2025-08-21,00:36:18 | INFO | Train Epoch: 0 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6187 (2.5570) Loss: 1.6187 (2.5570)
2025-08-21,00:37:28 | INFO | Train Epoch: 0 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7238 (2.5552) Loss: 1.7238 (2.5552)
2025-08-21,00:38:38 | INFO | Train Epoch: 0 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6307 (2.5531) Loss: 1.6307 (2.5531)
2025-08-21,00:39:48 | INFO | Train Epoch: 0 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7744 (2.5513) Loss: 1.7744 (2.5513)
2025-08-21,00:40:59 | INFO | Train Epoch: 0 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4980 (2.5490) Loss: 1.4980 (2.5490)
2025-08-21,00:42:08 | INFO | Train Epoch: 0 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7145 (2.5471) Loss: 1.7145 (2.5471)
2025-08-21,00:43:19 | INFO | Train Epoch: 0 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5757 (2.5450) Loss: 1.5757 (2.5450)
2025-08-21,00:44:29 | INFO | Train Epoch: 0 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5169 (2.5427) Loss: 1.5169 (2.5427)
2025-08-21,00:45:39 | INFO | Train Epoch: 0 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5592 (2.5405) Loss: 1.5592 (2.5405)
2025-08-21,00:46:49 | INFO | Train Epoch: 0 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5930 (2.5385) Loss: 1.5930 (2.5385)
2025-08-21,00:47:58 | INFO | Train Epoch: 0 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5609 (2.5363) Loss: 1.5609 (2.5363)
2025-08-21,00:49:08 | INFO | Train Epoch: 0 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5876 (2.5342) Loss: 1.5876 (2.5342)
2025-08-21,00:50:18 | INFO | Train Epoch: 0 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7265 (2.5325) Loss: 1.7265 (2.5325)
2025-08-21,00:51:28 | INFO | Train Epoch: 0 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6723 (2.5306) Loss: 1.6723 (2.5306)
2025-08-21,00:52:38 | INFO | Train Epoch: 0 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4592 (2.5283) Loss: 1.4592 (2.5283)
2025-08-21,00:53:48 | INFO | Train Epoch: 0 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.7410 (2.5265) Loss: 1.7410 (2.5265)
2025-08-21,00:54:58 | INFO | Train Epoch: 0 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5893 (2.5245) Loss: 1.5893 (2.5245)
2025-08-21,00:56:08 | INFO | Train Epoch: 0 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6847 (2.5227) Loss: 1.6847 (2.5227)
2025-08-21,00:57:19 | INFO | Train Epoch: 0 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6565 (2.5208) Loss: 1.6565 (2.5208)
2025-08-21,00:58:29 | INFO | Train Epoch: 0 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6064 (2.5188) Loss: 1.6064 (2.5188)
2025-08-21,00:59:38 | INFO | Train Epoch: 0 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6005 (2.5169) Loss: 1.6005 (2.5169)
2025-08-21,01:00:48 | INFO | Train Epoch: 0 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5931 (2.5149) Loss: 1.5931 (2.5149)
2025-08-21,01:01:58 | INFO | Train Epoch: 0 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5687 (2.5129) Loss: 1.5687 (2.5129)
2025-08-21,01:03:08 | INFO | Train Epoch: 0 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5874 (2.5109) Loss: 1.5874 (2.5109)
2025-08-21,01:04:18 | INFO | Train Epoch: 0 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6724 (2.5091) Loss: 1.6724 (2.5091)
2025-08-21,01:05:28 | INFO | Train Epoch: 0 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6729 (2.5073) Loss: 1.6729 (2.5073)
2025-08-21,01:06:38 | INFO | Train Epoch: 0 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5815 (2.5054) Loss: 1.5815 (2.5054)
2025-08-21,01:07:48 | INFO | Train Epoch: 0 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4343 (2.5031) Loss: 1.4343 (2.5031)
2025-08-21,01:08:58 | INFO | Train Epoch: 0 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5238 (2.5010) Loss: 1.5238 (2.5010)
2025-08-21,01:10:08 | INFO | Train Epoch: 0 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5096 (2.4989) Loss: 1.5096 (2.4989)
2025-08-21,01:11:18 | INFO | Train Epoch: 0 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6743 (2.4972) Loss: 1.6743 (2.4972)
2025-08-21,01:12:28 | INFO | Train Epoch: 0 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6692 (2.4954) Loss: 1.6692 (2.4954)
2025-08-21,01:13:38 | INFO | Train Epoch: 0 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5312 (2.4934) Loss: 1.5312 (2.4934)
2025-08-21,01:14:48 | INFO | Train Epoch: 0 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6863 (2.4917) Loss: 1.6863 (2.4917)
2025-08-21,01:15:58 | INFO | Train Epoch: 0 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6383 (2.4900) Loss: 1.6383 (2.4900)
2025-08-21,01:17:08 | INFO | Train Epoch: 0 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5591 (2.4880) Loss: 1.5591 (2.4880)
2025-08-21,01:18:18 | INFO | Train Epoch: 0 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4435 (2.4858) Loss: 1.4435 (2.4858)
2025-08-21,01:19:28 | INFO | Train Epoch: 0 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5075 (2.4838) Loss: 1.5075 (2.4838)
2025-08-21,01:20:38 | INFO | Train Epoch: 0 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4569 (2.4817) Loss: 1.4569 (2.4817)
2025-08-21,01:21:48 | INFO | Train Epoch: 0 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5618 (2.4798) Loss: 1.5618 (2.4798)
2025-08-21,01:22:58 | INFO | Train Epoch: 0 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4397 (2.4776) Loss: 1.4397 (2.4776)
2025-08-21,01:24:08 | INFO | Train Epoch: 0 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6786 (2.4760) Loss: 1.6786 (2.4760)
2025-08-21,01:25:18 | INFO | Train Epoch: 0 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6373 (2.4743) Loss: 1.6373 (2.4743)
2025-08-21,01:26:28 | INFO | Train Epoch: 0 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5227 (2.4723) Loss: 1.5227 (2.4723)
2025-08-21,01:27:38 | INFO | Train Epoch: 0 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6624 (2.4707) Loss: 1.6624 (2.4707)
2025-08-21,01:28:48 | INFO | Train Epoch: 0 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4483 (2.4686) Loss: 1.4483 (2.4686)
2025-08-21,01:29:57 | INFO | Train Epoch: 0 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5016 (2.4666) Loss: 1.5016 (2.4666)
2025-08-21,01:31:07 | INFO | Train Epoch: 0 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6630 (2.4650) Loss: 1.6630 (2.4650)
2025-08-21,01:32:17 | INFO | Train Epoch: 0 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6360 (2.4633) Loss: 1.6360 (2.4633)
2025-08-21,01:33:27 | INFO | Train Epoch: 0 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4271 (2.4612) Loss: 1.4271 (2.4612)
2025-08-21,01:34:37 | INFO | Train Epoch: 0 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5914 (2.4594) Loss: 1.5914 (2.4594)
2025-08-21,01:35:47 | INFO | Train Epoch: 0 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5304 (2.4576) Loss: 1.5304 (2.4576)
2025-08-21,01:36:57 | INFO | Train Epoch: 0 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5062 (2.4557) Loss: 1.5062 (2.4557)
2025-08-21,01:38:07 | INFO | Train Epoch: 0 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6578 (2.4541) Loss: 1.6578 (2.4541)
2025-08-21,01:39:17 | INFO | Train Epoch: 0 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5853 (2.4523) Loss: 1.5853 (2.4523)
2025-08-21,01:40:26 | INFO | Train Epoch: 0 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6292 (2.4507) Loss: 1.6292 (2.4507)
2025-08-21,01:41:36 | INFO | Train Epoch: 0 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5487 (2.4489) Loss: 1.5487 (2.4489)
2025-08-21,01:42:47 | INFO | Train Epoch: 0 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5663 (2.4471) Loss: 1.5663 (2.4471)
2025-08-21,01:43:56 | INFO | Train Epoch: 0 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5654 (2.4454) Loss: 1.5654 (2.4454)
2025-08-21,01:45:06 | INFO | Train Epoch: 0 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5223 (2.4435) Loss: 1.5223 (2.4435)
2025-08-21,01:46:16 | INFO | Train Epoch: 0 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4351 (2.4415) Loss: 1.4351 (2.4415)
2025-08-21,01:47:26 | INFO | Train Epoch: 0 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3946 (2.4395) Loss: 1.3946 (2.4395)
2025-08-21,01:48:36 | INFO | Train Epoch: 0 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4516 (2.4375) Loss: 1.4516 (2.4375)
2025-08-21,01:49:46 | INFO | Train Epoch: 0 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5182 (2.4357) Loss: 1.5182 (2.4357)
2025-08-21,01:50:56 | INFO | Train Epoch: 0 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5100 (2.4339) Loss: 1.5100 (2.4339)
2025-08-21,01:52:06 | INFO | Train Epoch: 0 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5327 (2.4321) Loss: 1.5327 (2.4321)
2025-08-21,01:53:16 | INFO | Train Epoch: 0 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4864 (2.4303) Loss: 1.4864 (2.4303)
2025-08-21,01:54:26 | INFO | Train Epoch: 0 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5776 (2.4286) Loss: 1.5776 (2.4286)
2025-08-21,01:55:36 | INFO | Train Epoch: 0 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4665 (2.4267) Loss: 1.4665 (2.4267)
2025-08-21,01:56:46 | INFO | Train Epoch: 0 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6125 (2.4251) Loss: 1.6125 (2.4251)
2025-08-21,01:57:56 | INFO | Train Epoch: 0 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4814 (2.4233) Loss: 1.4814 (2.4233)
2025-08-21,01:59:02 | INFO | Train Epoch: 0 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6073 (2.4217) Loss: 1.6073 (2.4217)
2025-08-21,01:59:02 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-21,01:59:02 | INFO | [Epoch 0] Average Step Time: 0.705s | Average GPU Memory: 43.4 GB
2025-08-21,01:59:02 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-21,01:59:02 | INFO | Starting zero-shot imagenet.
2025-08-21,01:59:02 | INFO | Building zero-shot classifier
2025-08-21,01:59:12 | INFO | Using classifier
2025-08-21,01:59:57 | INFO | Finished zero-shot imagenet.
2025-08-21,01:59:57 | INFO | Eval Epoch: 1 imagenet-zeroshot-val-top1: 0.1336	imagenet-zeroshot-val-top5: 0.3104
2025-08-21,01:59:58 | INFO | Start epoch 1
2025-08-21,02:00:00 | INFO | Train Epoch: 1 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5848 (1.5848) Loss: 1.5848 (1.5848)
2025-08-21,02:01:10 | INFO | Train Epoch: 1 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3833 (1.4841) Loss: 1.3833 (1.4841)
2025-08-21,02:02:20 | INFO | Train Epoch: 1 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3111 (1.4264) Loss: 1.3111 (1.4264)
2025-08-21,02:03:30 | INFO | Train Epoch: 1 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4993 (1.4446) Loss: 1.4993 (1.4446)
2025-08-21,02:04:40 | INFO | Train Epoch: 1 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5888 (1.4735) Loss: 1.5888 (1.4735)
2025-08-21,02:05:50 | INFO | Train Epoch: 1 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4411 (1.4681) Loss: 1.4411 (1.4681)
2025-08-21,02:06:59 | INFO | Train Epoch: 1 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3577 (1.4523) Loss: 1.3577 (1.4523)
2025-08-21,02:08:09 | INFO | Train Epoch: 1 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6791 (1.4807) Loss: 1.6791 (1.4807)
2025-08-21,02:09:19 | INFO | Train Epoch: 1 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5417 (1.4875) Loss: 1.5417 (1.4875)
2025-08-21,02:10:29 | INFO | Train Epoch: 1 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5463 (1.4933) Loss: 1.5463 (1.4933)
2025-08-21,02:11:39 | INFO | Train Epoch: 1 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3498 (1.4803) Loss: 1.3498 (1.4803)
2025-08-21,02:12:49 | INFO | Train Epoch: 1 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6684 (1.4960) Loss: 1.6684 (1.4960)
2025-08-21,02:13:59 | INFO | Train Epoch: 1 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2944 (1.4805) Loss: 1.2944 (1.4805)
2025-08-21,02:15:09 | INFO | Train Epoch: 1 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3232 (1.4692) Loss: 1.3232 (1.4692)
2025-08-21,02:16:19 | INFO | Train Epoch: 1 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4968 (1.4711) Loss: 1.4968 (1.4711)
2025-08-21,02:17:28 | INFO | Train Epoch: 1 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5955 (1.4788) Loss: 1.5955 (1.4788)
2025-08-21,02:18:38 | INFO | Train Epoch: 1 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4566 (1.4775) Loss: 1.4566 (1.4775)
2025-08-21,02:19:48 | INFO | Train Epoch: 1 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4870 (1.4781) Loss: 1.4870 (1.4781)
2025-08-21,02:20:58 | INFO | Train Epoch: 1 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4675 (1.4775) Loss: 1.4675 (1.4775)
2025-08-21,02:22:08 | INFO | Train Epoch: 1 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3860 (1.4729) Loss: 1.3860 (1.4729)
2025-08-21,02:23:17 | INFO | Train Epoch: 1 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5168 (1.4750) Loss: 1.5168 (1.4750)
2025-08-21,02:24:27 | INFO | Train Epoch: 1 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4114 (1.4721) Loss: 1.4114 (1.4721)
2025-08-21,02:25:37 | INFO | Train Epoch: 1 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4012 (1.4690) Loss: 1.4012 (1.4690)
2025-08-21,02:26:47 | INFO | Train Epoch: 1 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4188 (1.4670) Loss: 1.4188 (1.4670)
2025-08-21,02:27:57 | INFO | Train Epoch: 1 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4459 (1.4661) Loss: 1.4459 (1.4661)
2025-08-21,02:29:07 | INFO | Train Epoch: 1 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2992 (1.4597) Loss: 1.2992 (1.4597)
2025-08-21,02:30:17 | INFO | Train Epoch: 1 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3734 (1.4565) Loss: 1.3734 (1.4565)
2025-08-21,02:31:26 | INFO | Train Epoch: 1 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3884 (1.4541) Loss: 1.3884 (1.4541)
2025-08-21,02:32:36 | INFO | Train Epoch: 1 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5520 (1.4574) Loss: 1.5520 (1.4574)
2025-08-21,02:33:46 | INFO | Train Epoch: 1 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3149 (1.4527) Loss: 1.3149 (1.4527)
2025-08-21,02:34:56 | INFO | Train Epoch: 1 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3725 (1.4501) Loss: 1.3725 (1.4501)
2025-08-21,02:36:06 | INFO | Train Epoch: 1 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4889 (1.4513) Loss: 1.4889 (1.4513)
2025-08-21,02:37:16 | INFO | Train Epoch: 1 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3950 (1.4496) Loss: 1.3950 (1.4496)
2025-08-21,02:38:26 | INFO | Train Epoch: 1 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5616 (1.4529) Loss: 1.5616 (1.4529)
2025-08-21,02:39:36 | INFO | Train Epoch: 1 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5204 (1.4548) Loss: 1.5204 (1.4548)
2025-08-21,02:40:46 | INFO | Train Epoch: 1 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3191 (1.4511) Loss: 1.3191 (1.4511)
2025-08-21,02:41:56 | INFO | Train Epoch: 1 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3883 (1.4494) Loss: 1.3883 (1.4494)
2025-08-21,02:43:06 | INFO | Train Epoch: 1 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5349 (1.4516) Loss: 1.5349 (1.4516)
2025-08-21,02:44:16 | INFO | Train Epoch: 1 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3569 (1.4492) Loss: 1.3569 (1.4492)
2025-08-21,02:45:26 | INFO | Train Epoch: 1 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4894 (1.4502) Loss: 1.4894 (1.4502)
2025-08-21,02:46:36 | INFO | Train Epoch: 1 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3420 (1.4476) Loss: 1.3420 (1.4476)
2025-08-21,02:47:46 | INFO | Train Epoch: 1 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3134 (1.4444) Loss: 1.3134 (1.4444)
2025-08-21,02:48:56 | INFO | Train Epoch: 1 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3047 (1.4411) Loss: 1.3047 (1.4411)
2025-08-21,02:50:05 | INFO | Train Epoch: 1 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4763 (1.4419) Loss: 1.4763 (1.4419)
2025-08-21,02:51:15 | INFO | Train Epoch: 1 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3992 (1.4410) Loss: 1.3992 (1.4410)
2025-08-21,02:52:25 | INFO | Train Epoch: 1 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5505 (1.4433) Loss: 1.5505 (1.4433)
2025-08-21,02:53:35 | INFO | Train Epoch: 1 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4901 (1.4443) Loss: 1.4901 (1.4443)
2025-08-21,02:54:45 | INFO | Train Epoch: 1 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3903 (1.4432) Loss: 1.3903 (1.4432)
2025-08-21,02:55:55 | INFO | Train Epoch: 1 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3525 (1.4414) Loss: 1.3525 (1.4414)
2025-08-21,02:57:05 | INFO | Train Epoch: 1 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3654 (1.4398) Loss: 1.3654 (1.4398)
2025-08-21,02:58:14 | INFO | Train Epoch: 1 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2694 (1.4365) Loss: 1.2694 (1.4365)
2025-08-21,02:59:24 | INFO | Train Epoch: 1 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4448 (1.4367) Loss: 1.4448 (1.4367)
2025-08-21,03:00:34 | INFO | Train Epoch: 1 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4172 (1.4363) Loss: 1.4172 (1.4363)
2025-08-21,03:01:44 | INFO | Train Epoch: 1 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3920 (1.4355) Loss: 1.3920 (1.4355)
2025-08-21,03:02:54 | INFO | Train Epoch: 1 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4359 (1.4355) Loss: 1.4359 (1.4355)
2025-08-21,03:04:04 | INFO | Train Epoch: 1 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4032 (1.4349) Loss: 1.4032 (1.4349)
2025-08-21,03:05:13 | INFO | Train Epoch: 1 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4270 (1.4348) Loss: 1.4270 (1.4348)
2025-08-21,03:06:23 | INFO | Train Epoch: 1 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3916 (1.4340) Loss: 1.3916 (1.4340)
2025-08-21,03:07:33 | INFO | Train Epoch: 1 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.6511 (1.4377) Loss: 1.6511 (1.4377)
2025-08-21,03:08:43 | INFO | Train Epoch: 1 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2970 (1.4354) Loss: 1.2970 (1.4354)
2025-08-21,03:09:53 | INFO | Train Epoch: 1 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3721 (1.4343) Loss: 1.3721 (1.4343)
2025-08-21,03:11:03 | INFO | Train Epoch: 1 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3566 (1.4331) Loss: 1.3566 (1.4331)
2025-08-21,03:12:13 | INFO | Train Epoch: 1 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2541 (1.4302) Loss: 1.2541 (1.4302)
2025-08-21,03:13:23 | INFO | Train Epoch: 1 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2978 (1.4282) Loss: 1.2978 (1.4282)
2025-08-21,03:14:33 | INFO | Train Epoch: 1 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4919 (1.4291) Loss: 1.4919 (1.4291)
2025-08-21,03:15:43 | INFO | Train Epoch: 1 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5080 (1.4303) Loss: 1.5080 (1.4303)
2025-08-21,03:16:53 | INFO | Train Epoch: 1 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3834 (1.4296) Loss: 1.3834 (1.4296)
2025-08-21,03:18:03 | INFO | Train Epoch: 1 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3418 (1.4283) Loss: 1.3418 (1.4283)
2025-08-21,03:19:12 | INFO | Train Epoch: 1 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3590 (1.4273) Loss: 1.3590 (1.4273)
2025-08-21,03:20:22 | INFO | Train Epoch: 1 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3707 (1.4265) Loss: 1.3707 (1.4265)
2025-08-21,03:21:32 | INFO | Train Epoch: 1 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4030 (1.4262) Loss: 1.4030 (1.4262)
2025-08-21,03:22:42 | INFO | Train Epoch: 1 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5001 (1.4272) Loss: 1.5001 (1.4272)
2025-08-21,03:23:52 | INFO | Train Epoch: 1 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5246 (1.4286) Loss: 1.5246 (1.4286)
2025-08-21,03:25:02 | INFO | Train Epoch: 1 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5748 (1.4305) Loss: 1.5748 (1.4305)
2025-08-21,03:26:12 | INFO | Train Epoch: 1 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5496 (1.4321) Loss: 1.5496 (1.4321)
2025-08-21,03:27:22 | INFO | Train Epoch: 1 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3537 (1.4311) Loss: 1.3537 (1.4311)
2025-08-21,03:28:32 | INFO | Train Epoch: 1 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3866 (1.4305) Loss: 1.3866 (1.4305)
2025-08-21,03:29:42 | INFO | Train Epoch: 1 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3732 (1.4298) Loss: 1.3732 (1.4298)
2025-08-21,03:30:52 | INFO | Train Epoch: 1 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4483 (1.4300) Loss: 1.4483 (1.4300)
2025-08-21,03:32:02 | INFO | Train Epoch: 1 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4152 (1.4298) Loss: 1.4152 (1.4298)
2025-08-21,03:33:12 | INFO | Train Epoch: 1 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3507 (1.4288) Loss: 1.3507 (1.4288)
2025-08-21,03:34:22 | INFO | Train Epoch: 1 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5372 (1.4302) Loss: 1.5372 (1.4302)
2025-08-21,03:35:32 | INFO | Train Epoch: 1 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2568 (1.4281) Loss: 1.2568 (1.4281)
2025-08-21,03:36:42 | INFO | Train Epoch: 1 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4231 (1.4280) Loss: 1.4231 (1.4280)
2025-08-21,03:37:52 | INFO | Train Epoch: 1 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4172 (1.4279) Loss: 1.4172 (1.4279)
2025-08-21,03:39:02 | INFO | Train Epoch: 1 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4547 (1.4282) Loss: 1.4547 (1.4282)
2025-08-21,03:40:12 | INFO | Train Epoch: 1 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4069 (1.4280) Loss: 1.4069 (1.4280)
2025-08-21,03:41:22 | INFO | Train Epoch: 1 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2979 (1.4265) Loss: 1.2979 (1.4265)
2025-08-21,03:42:32 | INFO | Train Epoch: 1 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3336 (1.4254) Loss: 1.3336 (1.4254)
2025-08-21,03:43:42 | INFO | Train Epoch: 1 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3012 (1.4241) Loss: 1.3012 (1.4241)
2025-08-21,03:44:52 | INFO | Train Epoch: 1 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3610 (1.4234) Loss: 1.3610 (1.4234)
2025-08-21,03:46:02 | INFO | Train Epoch: 1 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3187 (1.4222) Loss: 1.3187 (1.4222)
2025-08-21,03:47:12 | INFO | Train Epoch: 1 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3258 (1.4212) Loss: 1.3258 (1.4212)
2025-08-21,03:48:22 | INFO | Train Epoch: 1 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4054 (1.4210) Loss: 1.4054 (1.4210)
2025-08-21,03:49:32 | INFO | Train Epoch: 1 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3975 (1.4208) Loss: 1.3975 (1.4208)
2025-08-21,03:50:42 | INFO | Train Epoch: 1 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2612 (1.4191) Loss: 1.2612 (1.4191)
2025-08-21,03:51:52 | INFO | Train Epoch: 1 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2604 (1.4175) Loss: 1.2604 (1.4175)
2025-08-21,03:53:02 | INFO | Train Epoch: 1 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3956 (1.4173) Loss: 1.3956 (1.4173)
2025-08-21,03:54:12 | INFO | Train Epoch: 1 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3099 (1.4162) Loss: 1.3099 (1.4162)
2025-08-21,03:55:22 | INFO | Train Epoch: 1 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2296 (1.4143) Loss: 1.2296 (1.4143)
2025-08-21,03:56:32 | INFO | Train Epoch: 1 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2069 (1.4123) Loss: 1.2069 (1.4123)
2025-08-21,03:57:42 | INFO | Train Epoch: 1 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2454 (1.4106) Loss: 1.2454 (1.4106)
2025-08-21,03:58:52 | INFO | Train Epoch: 1 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3464 (1.4100) Loss: 1.3464 (1.4100)
2025-08-21,04:00:02 | INFO | Train Epoch: 1 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2093 (1.4081) Loss: 1.2093 (1.4081)
2025-08-21,04:01:12 | INFO | Train Epoch: 1 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2430 (1.4065) Loss: 1.2430 (1.4065)
2025-08-21,04:02:22 | INFO | Train Epoch: 1 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2779 (1.4053) Loss: 1.2779 (1.4053)
2025-08-21,04:03:32 | INFO | Train Epoch: 1 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3450 (1.4047) Loss: 1.3450 (1.4047)
2025-08-21,04:04:42 | INFO | Train Epoch: 1 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3767 (1.4045) Loss: 1.3767 (1.4045)
2025-08-21,04:05:52 | INFO | Train Epoch: 1 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3220 (1.4037) Loss: 1.3220 (1.4037)
2025-08-21,04:07:02 | INFO | Train Epoch: 1 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2145 (1.4020) Loss: 1.2145 (1.4020)
2025-08-21,04:08:12 | INFO | Train Epoch: 1 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4509 (1.4024) Loss: 1.4509 (1.4024)
2025-08-21,04:09:22 | INFO | Train Epoch: 1 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4037 (1.4024) Loss: 1.4037 (1.4024)
2025-08-21,04:10:32 | INFO | Train Epoch: 1 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3795 (1.4022) Loss: 1.3795 (1.4022)
2025-08-21,04:11:42 | INFO | Train Epoch: 1 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3650 (1.4019) Loss: 1.3650 (1.4019)
2025-08-21,04:12:52 | INFO | Train Epoch: 1 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3652 (1.4016) Loss: 1.3652 (1.4016)
2025-08-21,04:14:02 | INFO | Train Epoch: 1 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4386 (1.4019) Loss: 1.4386 (1.4019)
2025-08-21,04:15:12 | INFO | Train Epoch: 1 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2599 (1.4007) Loss: 1.2599 (1.4007)
2025-08-21,04:16:22 | INFO | Train Epoch: 1 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2912 (1.3998) Loss: 1.2912 (1.3998)
2025-08-21,04:17:32 | INFO | Train Epoch: 1 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2898 (1.3988) Loss: 1.2898 (1.3988)
2025-08-21,04:18:42 | INFO | Train Epoch: 1 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4021 (1.3989) Loss: 1.4021 (1.3989)
2025-08-21,04:19:52 | INFO | Train Epoch: 1 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2428 (1.3976) Loss: 1.2428 (1.3976)
2025-08-21,04:21:02 | INFO | Train Epoch: 1 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3969 (1.3976) Loss: 1.3969 (1.3976)
2025-08-21,04:22:12 | INFO | Train Epoch: 1 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2778 (1.3966) Loss: 1.2778 (1.3966)
2025-08-21,04:23:22 | INFO | Train Epoch: 1 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3605 (1.3963) Loss: 1.3605 (1.3963)
2025-08-21,04:24:32 | INFO | Train Epoch: 1 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4524 (1.3967) Loss: 1.4524 (1.3967)
2025-08-21,04:25:42 | INFO | Train Epoch: 1 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3564 (1.3964) Loss: 1.3564 (1.3964)
2025-08-21,04:26:52 | INFO | Train Epoch: 1 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.5218 (1.3974) Loss: 1.5218 (1.3974)
2025-08-21,04:28:02 | INFO | Train Epoch: 1 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3315 (1.3969) Loss: 1.3315 (1.3969)
2025-08-21,04:29:12 | INFO | Train Epoch: 1 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2290 (1.3956) Loss: 1.2290 (1.3956)
2025-08-21,04:30:22 | INFO | Train Epoch: 1 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3418 (1.3952) Loss: 1.3418 (1.3952)
2025-08-21,04:31:32 | INFO | Train Epoch: 1 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3277 (1.3947) Loss: 1.3277 (1.3947)
2025-08-21,04:32:42 | INFO | Train Epoch: 1 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4637 (1.3952) Loss: 1.4637 (1.3952)
2025-08-21,04:33:52 | INFO | Train Epoch: 1 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4332 (1.3955) Loss: 1.4332 (1.3955)
2025-08-21,04:35:02 | INFO | Train Epoch: 1 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3338 (1.3950) Loss: 1.3338 (1.3950)
2025-08-21,04:36:12 | INFO | Train Epoch: 1 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3074 (1.3944) Loss: 1.3074 (1.3944)
2025-08-21,04:37:22 | INFO | Train Epoch: 1 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2954 (1.3936) Loss: 1.2954 (1.3936)
2025-08-21,04:38:32 | INFO | Train Epoch: 1 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2823 (1.3928) Loss: 1.2823 (1.3928)
2025-08-21,04:39:42 | INFO | Train Epoch: 1 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3855 (1.3928) Loss: 1.3855 (1.3928)
2025-08-21,04:40:52 | INFO | Train Epoch: 1 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4128 (1.3929) Loss: 1.4128 (1.3929)
2025-08-21,04:42:02 | INFO | Train Epoch: 1 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3264 (1.3924) Loss: 1.3264 (1.3924)
2025-08-21,04:43:12 | INFO | Train Epoch: 1 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2084 (1.3911) Loss: 1.2084 (1.3911)
2025-08-21,04:44:22 | INFO | Train Epoch: 1 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3251 (1.3907) Loss: 1.3251 (1.3907)
2025-08-21,04:45:32 | INFO | Train Epoch: 1 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3100 (1.3901) Loss: 1.3100 (1.3901)
2025-08-21,04:46:42 | INFO | Train Epoch: 1 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3721 (1.3900) Loss: 1.3721 (1.3900)
2025-08-21,04:47:52 | INFO | Train Epoch: 1 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3480 (1.3897) Loss: 1.3480 (1.3897)
2025-08-21,04:49:02 | INFO | Train Epoch: 1 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2709 (1.3889) Loss: 1.2709 (1.3889)
2025-08-21,04:50:12 | INFO | Train Epoch: 1 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2309 (1.3878) Loss: 1.2309 (1.3878)
2025-08-21,04:51:22 | INFO | Train Epoch: 1 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3985 (1.3879) Loss: 1.3985 (1.3879)
2025-08-21,04:52:32 | INFO | Train Epoch: 1 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3643 (1.3877) Loss: 1.3643 (1.3877)
2025-08-21,04:53:42 | INFO | Train Epoch: 1 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3167 (1.3872) Loss: 1.3167 (1.3872)
2025-08-21,04:54:52 | INFO | Train Epoch: 1 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3003 (1.3867) Loss: 1.3003 (1.3867)
2025-08-21,04:56:02 | INFO | Train Epoch: 1 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4335 (1.3870) Loss: 1.4335 (1.3870)
2025-08-21,04:57:12 | INFO | Train Epoch: 1 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4428 (1.3873) Loss: 1.4428 (1.3873)
2025-08-21,04:58:22 | INFO | Train Epoch: 1 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3047 (1.3868) Loss: 1.3047 (1.3868)
2025-08-21,04:59:32 | INFO | Train Epoch: 1 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1634 (1.3854) Loss: 1.1634 (1.3854)
2025-08-21,05:00:42 | INFO | Train Epoch: 1 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4718 (1.3859) Loss: 1.4718 (1.3859)
2025-08-21,05:01:52 | INFO | Train Epoch: 1 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2617 (1.3851) Loss: 1.2617 (1.3851)
2025-08-21,05:03:02 | INFO | Train Epoch: 1 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2835 (1.3845) Loss: 1.2835 (1.3845)
2025-08-21,05:04:13 | INFO | Train Epoch: 1 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1846 (1.3832) Loss: 1.1846 (1.3832)
2025-08-21,05:05:23 | INFO | Train Epoch: 1 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2480 (1.3824) Loss: 1.2480 (1.3824)
2025-08-21,05:06:33 | INFO | Train Epoch: 1 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2976 (1.3819) Loss: 1.2976 (1.3819)
2025-08-21,05:07:43 | INFO | Train Epoch: 1 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1645 (1.3805) Loss: 1.1645 (1.3805)
2025-08-21,05:08:53 | INFO | Train Epoch: 1 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2587 (1.3798) Loss: 1.2587 (1.3798)
2025-08-21,05:10:03 | INFO | Train Epoch: 1 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3722 (1.3797) Loss: 1.3722 (1.3797)
2025-08-21,05:11:13 | INFO | Train Epoch: 1 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3997 (1.3798) Loss: 1.3997 (1.3798)
2025-08-21,05:12:23 | INFO | Train Epoch: 1 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1805 (1.3786) Loss: 1.1805 (1.3786)
2025-08-21,05:13:33 | INFO | Train Epoch: 1 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2490 (1.3779) Loss: 1.2490 (1.3779)
2025-08-21,05:14:43 | INFO | Train Epoch: 1 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4245 (1.3781) Loss: 1.4245 (1.3781)
2025-08-21,05:15:53 | INFO | Train Epoch: 1 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2133 (1.3772) Loss: 1.2133 (1.3772)
2025-08-21,05:17:03 | INFO | Train Epoch: 1 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2722 (1.3766) Loss: 1.2722 (1.3766)
2025-08-21,05:18:13 | INFO | Train Epoch: 1 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2308 (1.3757) Loss: 1.2308 (1.3757)
2025-08-21,05:19:23 | INFO | Train Epoch: 1 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1899 (1.3746) Loss: 1.1899 (1.3746)
2025-08-21,05:20:34 | INFO | Train Epoch: 1 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2509 (1.3739) Loss: 1.2509 (1.3739)
2025-08-21,05:21:44 | INFO | Train Epoch: 1 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3661 (1.3739) Loss: 1.3661 (1.3739)
2025-08-21,05:22:54 | INFO | Train Epoch: 1 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3349 (1.3736) Loss: 1.3349 (1.3736)
2025-08-21,05:24:04 | INFO | Train Epoch: 1 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4869 (1.3743) Loss: 1.4869 (1.3743)
2025-08-21,05:25:14 | INFO | Train Epoch: 1 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2182 (1.3734) Loss: 1.2182 (1.3734)
2025-08-21,05:26:24 | INFO | Train Epoch: 1 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4286 (1.3737) Loss: 1.4286 (1.3737)
2025-08-21,05:27:34 | INFO | Train Epoch: 1 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1422 (1.3724) Loss: 1.1422 (1.3724)
2025-08-21,05:28:44 | INFO | Train Epoch: 1 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3023 (1.3720) Loss: 1.3023 (1.3720)
2025-08-21,05:29:54 | INFO | Train Epoch: 1 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1027 (1.3705) Loss: 1.1027 (1.3705)
2025-08-21,05:31:04 | INFO | Train Epoch: 1 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2126 (1.3697) Loss: 1.2126 (1.3697)
2025-08-21,05:32:14 | INFO | Train Epoch: 1 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2847 (1.3692) Loss: 1.2847 (1.3692)
2025-08-21,05:33:24 | INFO | Train Epoch: 1 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1588 (1.3681) Loss: 1.1588 (1.3681)
2025-08-21,05:34:34 | INFO | Train Epoch: 1 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3164 (1.3678) Loss: 1.3164 (1.3678)
2025-08-21,05:35:44 | INFO | Train Epoch: 1 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3779 (1.3678) Loss: 1.3779 (1.3678)
2025-08-21,05:36:54 | INFO | Train Epoch: 1 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2179 (1.3670) Loss: 1.2179 (1.3670)
2025-08-21,05:38:04 | INFO | Train Epoch: 1 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2591 (1.3665) Loss: 1.2591 (1.3665)
2025-08-21,05:39:14 | INFO | Train Epoch: 1 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3074 (1.3661) Loss: 1.3074 (1.3661)
2025-08-21,05:40:24 | INFO | Train Epoch: 1 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2446 (1.3655) Loss: 1.2446 (1.3655)
2025-08-21,05:41:34 | INFO | Train Epoch: 1 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2884 (1.3651) Loss: 1.2884 (1.3651)
2025-08-21,05:42:44 | INFO | Train Epoch: 1 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2262 (1.3644) Loss: 1.2262 (1.3644)
2025-08-21,05:43:54 | INFO | Train Epoch: 1 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2357 (1.3637) Loss: 1.2357 (1.3637)
2025-08-21,05:45:04 | INFO | Train Epoch: 1 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3154 (1.3635) Loss: 1.3154 (1.3635)
2025-08-21,05:46:14 | INFO | Train Epoch: 1 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1925 (1.3626) Loss: 1.1925 (1.3626)
2025-08-21,05:47:24 | INFO | Train Epoch: 1 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3148 (1.3623) Loss: 1.3148 (1.3623)
2025-08-21,05:48:34 | INFO | Train Epoch: 1 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2960 (1.3620) Loss: 1.2960 (1.3620)
2025-08-21,05:49:44 | INFO | Train Epoch: 1 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2288 (1.3613) Loss: 1.2288 (1.3613)
2025-08-21,05:50:54 | INFO | Train Epoch: 1 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2423 (1.3607) Loss: 1.2423 (1.3607)
2025-08-21,05:52:04 | INFO | Train Epoch: 1 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2049 (1.3600) Loss: 1.2049 (1.3600)
2025-08-21,05:53:14 | INFO | Train Epoch: 1 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1975 (1.3591) Loss: 1.1975 (1.3591)
2025-08-21,05:54:24 | INFO | Train Epoch: 1 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2749 (1.3587) Loss: 1.2749 (1.3587)
2025-08-21,05:55:34 | INFO | Train Epoch: 1 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1507 (1.3577) Loss: 1.1507 (1.3577)
2025-08-21,05:56:44 | INFO | Train Epoch: 1 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2020 (1.3569) Loss: 1.2020 (1.3569)
2025-08-21,05:57:55 | INFO | Train Epoch: 1 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2029 (1.3562) Loss: 1.2029 (1.3562)
2025-08-21,05:59:05 | INFO | Train Epoch: 1 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2763 (1.3558) Loss: 1.2763 (1.3558)
2025-08-21,06:00:15 | INFO | Train Epoch: 1 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2735 (1.3554) Loss: 1.2735 (1.3554)
2025-08-21,06:01:25 | INFO | Train Epoch: 1 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0974 (1.3542) Loss: 1.0974 (1.3542)
2025-08-21,06:02:35 | INFO | Train Epoch: 1 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3269 (1.3540) Loss: 1.3269 (1.3540)
2025-08-21,06:03:45 | INFO | Train Epoch: 1 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2176 (1.3534) Loss: 1.2176 (1.3534)
2025-08-21,06:04:55 | INFO | Train Epoch: 1 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3559 (1.3534) Loss: 1.3559 (1.3534)
2025-08-21,06:06:05 | INFO | Train Epoch: 1 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2308 (1.3528) Loss: 1.2308 (1.3528)
2025-08-21,06:07:15 | INFO | Train Epoch: 1 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0943 (1.3516) Loss: 1.0943 (1.3516)
2025-08-21,06:08:25 | INFO | Train Epoch: 1 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1612 (1.3507) Loss: 1.1612 (1.3507)
2025-08-21,06:09:35 | INFO | Train Epoch: 1 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1938 (1.3500) Loss: 1.1938 (1.3500)
2025-08-21,06:10:45 | INFO | Train Epoch: 1 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2351 (1.3495) Loss: 1.2351 (1.3495)
2025-08-21,06:11:55 | INFO | Train Epoch: 1 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2420 (1.3490) Loss: 1.2420 (1.3490)
2025-08-21,06:13:05 | INFO | Train Epoch: 1 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1675 (1.3481) Loss: 1.1675 (1.3481)
2025-08-21,06:14:16 | INFO | Train Epoch: 1 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2017 (1.3475) Loss: 1.2017 (1.3475)
2025-08-21,06:15:26 | INFO | Train Epoch: 1 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2084 (1.3468) Loss: 1.2084 (1.3468)
2025-08-21,06:16:36 | INFO | Train Epoch: 1 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1047 (1.3457) Loss: 1.1047 (1.3457)
2025-08-21,06:17:46 | INFO | Train Epoch: 1 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1689 (1.3449) Loss: 1.1689 (1.3449)
2025-08-21,06:18:56 | INFO | Train Epoch: 1 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2000 (1.3443) Loss: 1.2000 (1.3443)
2025-08-21,06:20:06 | INFO | Train Epoch: 1 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2906 (1.3440) Loss: 1.2906 (1.3440)
2025-08-21,06:21:16 | INFO | Train Epoch: 1 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.4203 (1.3444) Loss: 1.4203 (1.3444)
2025-08-21,06:22:26 | INFO | Train Epoch: 1 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1754 (1.3436) Loss: 1.1754 (1.3436)
2025-08-21,06:23:36 | INFO | Train Epoch: 1 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2491 (1.3432) Loss: 1.2491 (1.3432)
2025-08-21,06:24:46 | INFO | Train Epoch: 1 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0931 (1.3421) Loss: 1.0931 (1.3421)
2025-08-21,06:25:56 | INFO | Train Epoch: 1 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1994 (1.3415) Loss: 1.1994 (1.3415)
2025-08-21,06:27:06 | INFO | Train Epoch: 1 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1252 (1.3406) Loss: 1.1252 (1.3406)
2025-08-21,06:28:16 | INFO | Train Epoch: 1 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2120 (1.3400) Loss: 1.2120 (1.3400)
2025-08-21,06:29:26 | INFO | Train Epoch: 1 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1907 (1.3394) Loss: 1.1907 (1.3394)
2025-08-21,06:30:36 | INFO | Train Epoch: 1 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1585 (1.3386) Loss: 1.1585 (1.3386)
2025-08-21,06:31:46 | INFO | Train Epoch: 1 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2262 (1.3381) Loss: 1.2262 (1.3381)
2025-08-21,06:32:56 | INFO | Train Epoch: 1 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2503 (1.3377) Loss: 1.2503 (1.3377)
2025-08-21,06:34:06 | INFO | Train Epoch: 1 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0834 (1.3366) Loss: 1.0834 (1.3366)
2025-08-21,06:35:17 | INFO | Train Epoch: 1 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0831 (1.3356) Loss: 1.0831 (1.3356)
2025-08-21,06:36:27 | INFO | Train Epoch: 1 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1068 (1.3346) Loss: 1.1068 (1.3346)
2025-08-21,06:37:37 | INFO | Train Epoch: 1 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2379 (1.3342) Loss: 1.2379 (1.3342)
2025-08-21,06:38:47 | INFO | Train Epoch: 1 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3180 (1.3341) Loss: 1.3180 (1.3341)
2025-08-21,06:39:57 | INFO | Train Epoch: 1 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2754 (1.3339) Loss: 1.2754 (1.3339)
2025-08-21,06:41:07 | INFO | Train Epoch: 1 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1061 (1.3330) Loss: 1.1061 (1.3330)
2025-08-21,06:42:17 | INFO | Train Epoch: 1 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2076 (1.3324) Loss: 1.2076 (1.3324)
2025-08-21,06:43:27 | INFO | Train Epoch: 1 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1303 (1.3316) Loss: 1.1303 (1.3316)
2025-08-21,06:44:37 | INFO | Train Epoch: 1 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2711 (1.3314) Loss: 1.2711 (1.3314)
2025-08-21,06:45:47 | INFO | Train Epoch: 1 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1909 (1.3308) Loss: 1.1909 (1.3308)
2025-08-21,06:46:57 | INFO | Train Epoch: 1 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2559 (1.3305) Loss: 1.2559 (1.3305)
2025-08-21,06:48:07 | INFO | Train Epoch: 1 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2231 (1.3301) Loss: 1.2231 (1.3301)
2025-08-21,06:49:17 | INFO | Train Epoch: 1 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1150 (1.3292) Loss: 1.1150 (1.3292)
2025-08-21,06:50:27 | INFO | Train Epoch: 1 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1297 (1.3284) Loss: 1.1297 (1.3284)
2025-08-21,06:51:38 | INFO | Train Epoch: 1 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3037 (1.3283) Loss: 1.3037 (1.3283)
2025-08-21,06:52:48 | INFO | Train Epoch: 1 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2218 (1.3279) Loss: 1.2218 (1.3279)
2025-08-21,06:53:58 | INFO | Train Epoch: 1 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2330 (1.3275) Loss: 1.2330 (1.3275)
2025-08-21,06:55:08 | INFO | Train Epoch: 1 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1677 (1.3269) Loss: 1.1677 (1.3269)
2025-08-21,06:56:18 | INFO | Train Epoch: 1 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1533 (1.3262) Loss: 1.1533 (1.3262)
2025-08-21,06:57:28 | INFO | Train Epoch: 1 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0969 (1.3253) Loss: 1.0969 (1.3253)
2025-08-21,06:58:38 | INFO | Train Epoch: 1 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1093 (1.3245) Loss: 1.1093 (1.3245)
2025-08-21,06:59:48 | INFO | Train Epoch: 1 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1868 (1.3239) Loss: 1.1868 (1.3239)
2025-08-21,07:00:58 | INFO | Train Epoch: 1 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3307 (1.3240) Loss: 1.3307 (1.3240)
2025-08-21,07:02:08 | INFO | Train Epoch: 1 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1687 (1.3234) Loss: 1.1687 (1.3234)
2025-08-21,07:03:18 | INFO | Train Epoch: 1 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1507 (1.3227) Loss: 1.1507 (1.3227)
2025-08-21,07:04:28 | INFO | Train Epoch: 1 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2495 (1.3224) Loss: 1.2495 (1.3224)
2025-08-21,07:05:38 | INFO | Train Epoch: 1 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2012 (1.3220) Loss: 1.2012 (1.3220)
2025-08-21,07:06:48 | INFO | Train Epoch: 1 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0723 (1.3210) Loss: 1.0723 (1.3210)
2025-08-21,07:07:59 | INFO | Train Epoch: 1 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2934 (1.3209) Loss: 1.2934 (1.3209)
2025-08-21,07:09:09 | INFO | Train Epoch: 1 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2999 (1.3208) Loss: 1.2999 (1.3208)
2025-08-21,07:10:19 | INFO | Train Epoch: 1 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3403 (1.3209) Loss: 1.3403 (1.3209)
2025-08-21,07:11:29 | INFO | Train Epoch: 1 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2051 (1.3205) Loss: 1.2051 (1.3205)
2025-08-21,07:12:39 | INFO | Train Epoch: 1 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2709 (1.3203) Loss: 1.2709 (1.3203)
2025-08-21,07:13:49 | INFO | Train Epoch: 1 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3021 (1.3202) Loss: 1.3021 (1.3202)
2025-08-21,07:14:59 | INFO | Train Epoch: 1 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1674 (1.3196) Loss: 1.1674 (1.3196)
2025-08-21,07:16:09 | INFO | Train Epoch: 1 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1202 (1.3189) Loss: 1.1202 (1.3189)
2025-08-21,07:17:19 | INFO | Train Epoch: 1 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1317 (1.3182) Loss: 1.1317 (1.3182)
2025-08-21,07:18:29 | INFO | Train Epoch: 1 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0644 (1.3173) Loss: 1.0644 (1.3173)
2025-08-21,07:19:39 | INFO | Train Epoch: 1 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1453 (1.3167) Loss: 1.1453 (1.3167)
2025-08-21,07:20:49 | INFO | Train Epoch: 1 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1325 (1.3160) Loss: 1.1325 (1.3160)
2025-08-21,07:22:00 | INFO | Train Epoch: 1 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3371 (1.3161) Loss: 1.3371 (1.3161)
2025-08-21,07:23:10 | INFO | Train Epoch: 1 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3519 (1.3162) Loss: 1.3519 (1.3162)
2025-08-21,07:24:20 | INFO | Train Epoch: 1 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0355 (1.3152) Loss: 1.0355 (1.3152)
2025-08-21,07:25:30 | INFO | Train Epoch: 1 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0822 (1.3144) Loss: 1.0822 (1.3144)
2025-08-21,07:26:40 | INFO | Train Epoch: 1 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1268 (1.3137) Loss: 1.1268 (1.3137)
2025-08-21,07:27:50 | INFO | Train Epoch: 1 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2356 (1.3134) Loss: 1.2356 (1.3134)
2025-08-21,07:29:00 | INFO | Train Epoch: 1 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2426 (1.3132) Loss: 1.2426 (1.3132)
2025-08-21,07:30:10 | INFO | Train Epoch: 1 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1117 (1.3125) Loss: 1.1117 (1.3125)
2025-08-21,07:31:20 | INFO | Train Epoch: 1 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2065 (1.3121) Loss: 1.2065 (1.3121)
2025-08-21,07:32:30 | INFO | Train Epoch: 1 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2460 (1.3119) Loss: 1.2460 (1.3119)
2025-08-21,07:33:41 | INFO | Train Epoch: 1 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2737 (1.3117) Loss: 1.2737 (1.3117)
2025-08-21,07:34:51 | INFO | Train Epoch: 1 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2550 (1.3115) Loss: 1.2550 (1.3115)
2025-08-21,07:36:01 | INFO | Train Epoch: 1 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2176 (1.3112) Loss: 1.2176 (1.3112)
2025-08-21,07:37:11 | INFO | Train Epoch: 1 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2588 (1.3110) Loss: 1.2588 (1.3110)
2025-08-21,07:38:21 | INFO | Train Epoch: 1 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1332 (1.3104) Loss: 1.1332 (1.3104)
2025-08-21,07:39:31 | INFO | Train Epoch: 1 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0424 (1.3095) Loss: 1.0424 (1.3095)
2025-08-21,07:40:41 | INFO | Train Epoch: 1 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0883 (1.3087) Loss: 1.0883 (1.3087)
2025-08-21,07:41:51 | INFO | Train Epoch: 1 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2243 (1.3085) Loss: 1.2243 (1.3085)
2025-08-21,07:43:01 | INFO | Train Epoch: 1 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2841 (1.3084) Loss: 1.2841 (1.3084)
2025-08-21,07:44:12 | INFO | Train Epoch: 1 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2013 (1.3080) Loss: 1.2013 (1.3080)
2025-08-21,07:45:22 | INFO | Train Epoch: 1 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1237 (1.3074) Loss: 1.1237 (1.3074)
2025-08-21,07:46:32 | INFO | Train Epoch: 1 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0431 (1.3065) Loss: 1.0431 (1.3065)
2025-08-21,07:47:42 | INFO | Train Epoch: 1 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2609 (1.3064) Loss: 1.2609 (1.3064)
2025-08-21,07:48:52 | INFO | Train Epoch: 1 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1181 (1.3057) Loss: 1.1181 (1.3057)
2025-08-21,07:50:02 | INFO | Train Epoch: 1 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2589 (1.3056) Loss: 1.2589 (1.3056)
2025-08-21,07:51:12 | INFO | Train Epoch: 1 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1667 (1.3051) Loss: 1.1667 (1.3051)
2025-08-21,07:52:22 | INFO | Train Epoch: 1 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2453 (1.3049) Loss: 1.2453 (1.3049)
2025-08-21,07:53:32 | INFO | Train Epoch: 1 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2414 (1.3047) Loss: 1.2414 (1.3047)
2025-08-21,07:54:43 | INFO | Train Epoch: 1 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1905 (1.3043) Loss: 1.1905 (1.3043)
2025-08-21,07:55:53 | INFO | Train Epoch: 1 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1732 (1.3039) Loss: 1.1732 (1.3039)
2025-08-21,07:57:03 | INFO | Train Epoch: 1 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1171 (1.3033) Loss: 1.1171 (1.3033)
2025-08-21,07:58:14 | INFO | Train Epoch: 1 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2069 (1.3030) Loss: 1.2069 (1.3030)
2025-08-21,07:59:24 | INFO | Train Epoch: 1 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0845 (1.3023) Loss: 1.0845 (1.3023)
2025-08-21,08:00:34 | INFO | Train Epoch: 1 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1708 (1.3019) Loss: 1.1708 (1.3019)
2025-08-21,08:01:44 | INFO | Train Epoch: 1 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0801 (1.3011) Loss: 1.0801 (1.3011)
2025-08-21,08:02:54 | INFO | Train Epoch: 1 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0951 (1.3005) Loss: 1.0951 (1.3005)
2025-08-21,08:04:04 | INFO | Train Epoch: 1 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1459 (1.3000) Loss: 1.1459 (1.3000)
2025-08-21,08:05:14 | INFO | Train Epoch: 1 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0783 (1.2993) Loss: 1.0783 (1.2993)
2025-08-21,08:06:24 | INFO | Train Epoch: 1 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0272 (1.2984) Loss: 1.0272 (1.2984)
2025-08-21,08:07:34 | INFO | Train Epoch: 1 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1730 (1.2980) Loss: 1.1730 (1.2980)
2025-08-21,08:08:44 | INFO | Train Epoch: 1 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1706 (1.2976) Loss: 1.1706 (1.2976)
2025-08-21,08:09:55 | INFO | Train Epoch: 1 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2658 (1.2975) Loss: 1.2658 (1.2975)
2025-08-21,08:11:05 | INFO | Train Epoch: 1 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1050 (1.2969) Loss: 1.1050 (1.2969)
2025-08-21,08:12:15 | INFO | Train Epoch: 1 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1369 (1.2964) Loss: 1.1369 (1.2964)
2025-08-21,08:13:25 | INFO | Train Epoch: 1 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2292 (1.2962) Loss: 1.2292 (1.2962)
2025-08-21,08:14:35 | INFO | Train Epoch: 1 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1514 (1.2958) Loss: 1.1514 (1.2958)
2025-08-21,08:15:45 | INFO | Train Epoch: 1 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2075 (1.2955) Loss: 1.2075 (1.2955)
2025-08-21,08:16:55 | INFO | Train Epoch: 1 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1794 (1.2951) Loss: 1.1794 (1.2951)
2025-08-21,08:18:06 | INFO | Train Epoch: 1 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1665 (1.2947) Loss: 1.1665 (1.2947)
2025-08-21,08:19:16 | INFO | Train Epoch: 1 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0746 (1.2941) Loss: 1.0746 (1.2941)
2025-08-21,08:20:26 | INFO | Train Epoch: 1 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0143 (1.2932) Loss: 1.0143 (1.2932)
2025-08-21,08:21:36 | INFO | Train Epoch: 1 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1263 (1.2927) Loss: 1.1263 (1.2927)
2025-08-21,08:22:46 | INFO | Train Epoch: 1 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1430 (1.2922) Loss: 1.1430 (1.2922)
2025-08-21,08:23:56 | INFO | Train Epoch: 1 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2058 (1.2920) Loss: 1.2058 (1.2920)
2025-08-21,08:25:07 | INFO | Train Epoch: 1 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1032 (1.2914) Loss: 1.1032 (1.2914)
2025-08-21,08:26:17 | INFO | Train Epoch: 1 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3764 (1.2917) Loss: 1.3764 (1.2917)
2025-08-21,08:27:27 | INFO | Train Epoch: 1 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1217 (1.2911) Loss: 1.1217 (1.2911)
2025-08-21,08:28:37 | INFO | Train Epoch: 1 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1421 (1.2907) Loss: 1.1421 (1.2907)
2025-08-21,08:29:48 | INFO | Train Epoch: 1 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1372 (1.2902) Loss: 1.1372 (1.2902)
2025-08-21,08:30:58 | INFO | Train Epoch: 1 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0921 (1.2897) Loss: 1.0921 (1.2897)
2025-08-21,08:32:08 | INFO | Train Epoch: 1 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1252 (1.2892) Loss: 1.1252 (1.2892)
2025-08-21,08:33:18 | INFO | Train Epoch: 1 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1553 (1.2888) Loss: 1.1553 (1.2888)
2025-08-21,08:34:28 | INFO | Train Epoch: 1 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2373 (1.2886) Loss: 1.2373 (1.2886)
2025-08-21,08:35:39 | INFO | Train Epoch: 1 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1162 (1.2881) Loss: 1.1162 (1.2881)
2025-08-21,08:36:49 | INFO | Train Epoch: 1 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2377 (1.2880) Loss: 1.2377 (1.2880)
2025-08-21,08:37:59 | INFO | Train Epoch: 1 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2854 (1.2880) Loss: 1.2854 (1.2880)
2025-08-21,08:39:10 | INFO | Train Epoch: 1 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1512 (1.2876) Loss: 1.1512 (1.2876)
2025-08-21,08:40:20 | INFO | Train Epoch: 1 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1288 (1.2871) Loss: 1.1288 (1.2871)
2025-08-21,08:41:30 | INFO | Train Epoch: 1 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0835 (1.2865) Loss: 1.0835 (1.2865)
2025-08-21,08:42:40 | INFO | Train Epoch: 1 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0913 (1.2859) Loss: 1.0913 (1.2859)
2025-08-21,08:43:50 | INFO | Train Epoch: 1 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99913 (1.2851) Loss: 0.99913 (1.2851)
2025-08-21,08:45:01 | INFO | Train Epoch: 1 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0919 (1.2846) Loss: 1.0919 (1.2846)
2025-08-21,08:46:11 | INFO | Train Epoch: 1 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0724 (1.2839) Loss: 1.0724 (1.2839)
2025-08-21,08:47:21 | INFO | Train Epoch: 1 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0649 (1.2833) Loss: 1.0649 (1.2833)
2025-08-21,08:48:31 | INFO | Train Epoch: 1 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1700 (1.2830) Loss: 1.1700 (1.2830)
2025-08-21,08:49:42 | INFO | Train Epoch: 1 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0384 (1.2823) Loss: 1.0384 (1.2823)
2025-08-21,08:50:52 | INFO | Train Epoch: 1 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1404 (1.2819) Loss: 1.1404 (1.2819)
2025-08-21,08:52:02 | INFO | Train Epoch: 1 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1284 (1.2815) Loss: 1.1284 (1.2815)
2025-08-21,08:53:12 | INFO | Train Epoch: 1 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0420 (1.2808) Loss: 1.0420 (1.2808)
2025-08-21,08:54:22 | INFO | Train Epoch: 1 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1326 (1.2804) Loss: 1.1326 (1.2804)
2025-08-21,08:55:32 | INFO | Train Epoch: 1 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0217 (1.2797) Loss: 1.0217 (1.2797)
2025-08-21,08:56:42 | INFO | Train Epoch: 1 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1255 (1.2792) Loss: 1.1255 (1.2792)
2025-08-21,08:57:53 | INFO | Train Epoch: 1 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.3360 (1.2794) Loss: 1.3360 (1.2794)
2025-08-21,08:59:03 | INFO | Train Epoch: 1 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1368 (1.2790) Loss: 1.1368 (1.2790)
2025-08-21,09:00:13 | INFO | Train Epoch: 1 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0941 (1.2785) Loss: 1.0941 (1.2785)
2025-08-21,09:01:23 | INFO | Train Epoch: 1 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2696 (1.2784) Loss: 1.2696 (1.2784)
2025-08-21,09:02:33 | INFO | Train Epoch: 1 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1725 (1.2782) Loss: 1.1725 (1.2782)
2025-08-21,09:03:43 | INFO | Train Epoch: 1 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0005 (1.2774) Loss: 1.0005 (1.2774)
2025-08-21,09:04:54 | INFO | Train Epoch: 1 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0798 (1.2769) Loss: 1.0798 (1.2769)
2025-08-21,09:06:04 | INFO | Train Epoch: 1 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1331 (1.2765) Loss: 1.1331 (1.2765)
2025-08-21,09:07:13 | INFO | Train Epoch: 1 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0440 (1.2758) Loss: 1.0440 (1.2758)
2025-08-21,09:08:23 | INFO | Train Epoch: 1 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0782 (1.2753) Loss: 1.0782 (1.2753)
2025-08-21,09:09:34 | INFO | Train Epoch: 1 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0070 (1.2746) Loss: 1.0070 (1.2746)
2025-08-21,09:10:44 | INFO | Train Epoch: 1 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2419 (1.2745) Loss: 1.2419 (1.2745)
2025-08-21,09:11:54 | INFO | Train Epoch: 1 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0011 (1.2737) Loss: 1.0011 (1.2737)
2025-08-21,09:13:04 | INFO | Train Epoch: 1 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1603 (1.2734) Loss: 1.1603 (1.2734)
2025-08-21,09:14:15 | INFO | Train Epoch: 1 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0508 (1.2728) Loss: 1.0508 (1.2728)
2025-08-21,09:15:25 | INFO | Train Epoch: 1 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2349 (1.2727) Loss: 1.2349 (1.2727)
2025-08-21,09:16:35 | INFO | Train Epoch: 1 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99085 (1.2720) Loss: 0.99085 (1.2720)
2025-08-21,09:17:45 | INFO | Train Epoch: 1 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.91409 (1.2710) Loss: 0.91409 (1.2710)
2025-08-21,09:18:55 | INFO | Train Epoch: 1 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0499 (1.2704) Loss: 1.0499 (1.2704)
2025-08-21,09:20:05 | INFO | Train Epoch: 1 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1244 (1.2701) Loss: 1.1244 (1.2701)
2025-08-21,09:21:15 | INFO | Train Epoch: 1 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.91458 (1.2691) Loss: 0.91458 (1.2691)
2025-08-21,09:22:25 | INFO | Train Epoch: 1 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0432 (1.2685) Loss: 1.0432 (1.2685)
2025-08-21,09:23:35 | INFO | Train Epoch: 1 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0377 (1.2679) Loss: 1.0377 (1.2679)
2025-08-21,09:24:46 | INFO | Train Epoch: 1 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1404 (1.2676) Loss: 1.1404 (1.2676)
2025-08-21,09:25:56 | INFO | Train Epoch: 1 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0923 (1.2671) Loss: 1.0923 (1.2671)
2025-08-21,09:27:06 | INFO | Train Epoch: 1 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1370 (1.2668) Loss: 1.1370 (1.2668)
2025-08-21,09:28:16 | INFO | Train Epoch: 1 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1436 (1.2665) Loss: 1.1436 (1.2665)
2025-08-21,09:29:26 | INFO | Train Epoch: 1 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0421 (1.2659) Loss: 1.0421 (1.2659)
2025-08-21,09:30:37 | INFO | Train Epoch: 1 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0083 (1.2652) Loss: 1.0083 (1.2652)
2025-08-21,09:31:47 | INFO | Train Epoch: 1 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0196 (1.2646) Loss: 1.0196 (1.2646)
2025-08-21,09:32:57 | INFO | Train Epoch: 1 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2819 (1.2646) Loss: 1.2819 (1.2646)
2025-08-21,09:34:07 | INFO | Train Epoch: 1 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0571 (1.2641) Loss: 1.0571 (1.2641)
2025-08-21,09:35:17 | INFO | Train Epoch: 1 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97883 (1.2634) Loss: 0.97883 (1.2634)
2025-08-21,09:36:27 | INFO | Train Epoch: 1 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97653 (1.2626) Loss: 0.97653 (1.2626)
2025-08-21,09:37:37 | INFO | Train Epoch: 1 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0139 (1.2620) Loss: 1.0139 (1.2620)
2025-08-21,09:38:47 | INFO | Train Epoch: 1 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0601 (1.2615) Loss: 1.0601 (1.2615)
2025-08-21,09:39:57 | INFO | Train Epoch: 1 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1013 (1.2611) Loss: 1.1013 (1.2611)
2025-08-21,09:41:07 | INFO | Train Epoch: 1 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0558 (1.2606) Loss: 1.0558 (1.2606)
2025-08-21,09:42:18 | INFO | Train Epoch: 1 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0749 (1.2601) Loss: 1.0749 (1.2601)
2025-08-21,09:43:28 | INFO | Train Epoch: 1 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1412 (1.2598) Loss: 1.1412 (1.2598)
2025-08-21,09:44:38 | INFO | Train Epoch: 1 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0778 (1.2593) Loss: 1.0778 (1.2593)
2025-08-21,09:45:48 | INFO | Train Epoch: 1 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97440 (1.2586) Loss: 0.97440 (1.2586)
2025-08-21,09:46:58 | INFO | Train Epoch: 1 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0029 (1.2580) Loss: 1.0029 (1.2580)
2025-08-21,09:48:08 | INFO | Train Epoch: 1 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.2816 (1.2581) Loss: 1.2816 (1.2581)
2025-08-21,09:49:18 | INFO | Train Epoch: 1 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0399 (1.2575) Loss: 1.0399 (1.2575)
2025-08-21,09:50:29 | INFO | Train Epoch: 1 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0575 (1.2570) Loss: 1.0575 (1.2570)
2025-08-21,09:51:39 | INFO | Train Epoch: 1 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0998 (1.2566) Loss: 1.0998 (1.2566)
2025-08-21,09:52:49 | INFO | Train Epoch: 1 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0553 (1.2561) Loss: 1.0553 (1.2561)
2025-08-21,09:53:59 | INFO | Train Epoch: 1 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0325 (1.2556) Loss: 1.0325 (1.2556)
2025-08-21,09:55:09 | INFO | Train Epoch: 1 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0770 (1.2551) Loss: 1.0770 (1.2551)
2025-08-21,09:56:19 | INFO | Train Epoch: 1 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0793 (1.2547) Loss: 1.0793 (1.2547)
2025-08-21,09:57:30 | INFO | Train Epoch: 1 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1340 (1.2544) Loss: 1.1340 (1.2544)
2025-08-21,09:58:40 | INFO | Train Epoch: 1 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1063 (1.2541) Loss: 1.1063 (1.2541)
2025-08-21,09:59:50 | INFO | Train Epoch: 1 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0012 (1.2535) Loss: 1.0012 (1.2535)
2025-08-21,10:01:00 | INFO | Train Epoch: 1 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0518 (1.2530) Loss: 1.0518 (1.2530)
2025-08-21,10:02:10 | INFO | Train Epoch: 1 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0763 (1.2525) Loss: 1.0763 (1.2525)
2025-08-21,10:03:21 | INFO | Train Epoch: 1 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0129 (1.2520) Loss: 1.0129 (1.2520)
2025-08-21,10:04:31 | INFO | Train Epoch: 1 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.98835 (1.2513) Loss: 0.98835 (1.2513)
2025-08-21,10:05:41 | INFO | Train Epoch: 1 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0251 (1.2508) Loss: 1.0251 (1.2508)
2025-08-21,10:06:51 | INFO | Train Epoch: 1 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0469 (1.2503) Loss: 1.0469 (1.2503)
2025-08-21,10:08:01 | INFO | Train Epoch: 1 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0011 (1.2497) Loss: 1.0011 (1.2497)
2025-08-21,10:09:12 | INFO | Train Epoch: 1 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0880 (1.2493) Loss: 1.0880 (1.2493)
2025-08-21,10:10:22 | INFO | Train Epoch: 1 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99237 (1.2487) Loss: 0.99237 (1.2487)
2025-08-21,10:11:32 | INFO | Train Epoch: 1 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0824 (1.2483) Loss: 1.0824 (1.2483)
2025-08-21,10:12:42 | INFO | Train Epoch: 1 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1004 (1.2480) Loss: 1.1004 (1.2480)
2025-08-21,10:13:52 | INFO | Train Epoch: 1 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1251 (1.2477) Loss: 1.1251 (1.2477)
2025-08-21,10:15:02 | INFO | Train Epoch: 1 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94903 (1.2470) Loss: 0.94903 (1.2470)
2025-08-21,10:16:13 | INFO | Train Epoch: 1 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0500 (1.2465) Loss: 1.0500 (1.2465)
2025-08-21,10:17:23 | INFO | Train Epoch: 1 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0991 (1.2462) Loss: 1.0991 (1.2462)
2025-08-21,10:18:33 | INFO | Train Epoch: 1 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94984 (1.2455) Loss: 0.94984 (1.2455)
2025-08-21,10:19:43 | INFO | Train Epoch: 1 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0433 (1.2450) Loss: 1.0433 (1.2450)
2025-08-21,10:20:53 | INFO | Train Epoch: 1 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1694 (1.2448) Loss: 1.1694 (1.2448)
2025-08-21,10:22:04 | INFO | Train Epoch: 1 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0792 (1.2444) Loss: 1.0792 (1.2444)
2025-08-21,10:23:14 | INFO | Train Epoch: 1 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1153 (1.2441) Loss: 1.1153 (1.2441)
2025-08-21,10:24:24 | INFO | Train Epoch: 1 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0320 (1.2436) Loss: 1.0320 (1.2436)
2025-08-21,10:25:34 | INFO | Train Epoch: 1 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.96480 (1.2430) Loss: 0.96480 (1.2430)
2025-08-21,10:26:45 | INFO | Train Epoch: 1 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87318 (1.2422) Loss: 0.87318 (1.2422)
2025-08-21,10:27:55 | INFO | Train Epoch: 1 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0507 (1.2417) Loss: 1.0507 (1.2417)
2025-08-21,10:29:05 | INFO | Train Epoch: 1 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0960 (1.2414) Loss: 1.0960 (1.2414)
2025-08-21,10:30:15 | INFO | Train Epoch: 1 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1055 (1.2411) Loss: 1.1055 (1.2411)
2025-08-21,10:31:25 | INFO | Train Epoch: 1 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89275 (1.2403) Loss: 0.89275 (1.2403)
2025-08-21,10:32:36 | INFO | Train Epoch: 1 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1179 (1.2400) Loss: 1.1179 (1.2400)
2025-08-21,10:33:46 | INFO | Train Epoch: 1 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.98185 (1.2394) Loss: 0.98185 (1.2394)
2025-08-21,10:34:56 | INFO | Train Epoch: 1 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0074 (1.2389) Loss: 1.0074 (1.2389)
2025-08-21,10:36:06 | INFO | Train Epoch: 1 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1739 (1.2387) Loss: 1.1739 (1.2387)
2025-08-21,10:37:17 | INFO | Train Epoch: 1 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1026 (1.2384) Loss: 1.1026 (1.2384)
2025-08-21,10:38:27 | INFO | Train Epoch: 1 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1640 (1.2383) Loss: 1.1640 (1.2383)
2025-08-21,10:39:37 | INFO | Train Epoch: 1 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1331 (1.2380) Loss: 1.1331 (1.2380)
2025-08-21,10:40:47 | INFO | Train Epoch: 1 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1174 (1.2378) Loss: 1.1174 (1.2378)
2025-08-21,10:41:57 | INFO | Train Epoch: 1 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.96496 (1.2372) Loss: 0.96496 (1.2372)
2025-08-21,10:43:07 | INFO | Train Epoch: 1 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88956 (1.2364) Loss: 0.88956 (1.2364)
2025-08-21,10:44:18 | INFO | Train Epoch: 1 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97554 (1.2358) Loss: 0.97554 (1.2358)
2025-08-21,10:45:28 | INFO | Train Epoch: 1 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.96116 (1.2352) Loss: 0.96116 (1.2352)
2025-08-21,10:46:38 | INFO | Train Epoch: 1 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0101 (1.2347) Loss: 1.0101 (1.2347)
2025-08-21,10:47:48 | INFO | Train Epoch: 1 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0470 (1.2343) Loss: 1.0470 (1.2343)
2025-08-21,10:48:58 | INFO | Train Epoch: 1 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0014 (1.2338) Loss: 1.0014 (1.2338)
2025-08-21,10:50:08 | INFO | Train Epoch: 1 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1761 (1.2336) Loss: 1.1761 (1.2336)
2025-08-21,10:51:18 | INFO | Train Epoch: 1 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1022 (1.2334) Loss: 1.1022 (1.2334)
2025-08-21,10:52:28 | INFO | Train Epoch: 1 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0337 (1.2329) Loss: 1.0337 (1.2329)
2025-08-21,10:53:38 | INFO | Train Epoch: 1 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0001 (1.2324) Loss: 1.0001 (1.2324)
2025-08-21,10:54:48 | INFO | Train Epoch: 1 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0211 (1.2319) Loss: 1.0211 (1.2319)
2025-08-21,10:55:58 | INFO | Train Epoch: 1 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0262 (1.2315) Loss: 1.0262 (1.2315)
2025-08-21,10:57:08 | INFO | Train Epoch: 1 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.92548 (1.2308) Loss: 0.92548 (1.2308)
2025-08-21,10:58:18 | INFO | Train Epoch: 1 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0721 (1.2305) Loss: 1.0721 (1.2305)
2025-08-21,10:59:28 | INFO | Train Epoch: 1 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97983 (1.2300) Loss: 0.97983 (1.2300)
2025-08-21,11:00:39 | INFO | Train Epoch: 1 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1033 (1.2297) Loss: 1.1033 (1.2297)
2025-08-21,11:01:49 | INFO | Train Epoch: 1 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0965 (1.2294) Loss: 1.0965 (1.2294)
2025-08-21,11:02:59 | INFO | Train Epoch: 1 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86530 (1.2286) Loss: 0.86530 (1.2286)
2025-08-21,11:04:09 | INFO | Train Epoch: 1 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1207 (1.2284) Loss: 1.1207 (1.2284)
2025-08-21,11:05:20 | INFO | Train Epoch: 1 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0314 (1.2280) Loss: 1.0314 (1.2280)
2025-08-21,11:06:30 | INFO | Train Epoch: 1 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.98454 (1.2274) Loss: 0.98454 (1.2274)
2025-08-21,11:07:40 | INFO | Train Epoch: 1 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.98132 (1.2269) Loss: 0.98132 (1.2269)
2025-08-21,11:08:50 | INFO | Train Epoch: 1 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0230 (1.2265) Loss: 1.0230 (1.2265)
2025-08-21,11:10:00 | INFO | Train Epoch: 1 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1162 (1.2262) Loss: 1.1162 (1.2262)
2025-08-21,11:11:10 | INFO | Train Epoch: 1 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0109 (1.2258) Loss: 1.0109 (1.2258)
2025-08-21,11:12:20 | INFO | Train Epoch: 1 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1336 (1.2256) Loss: 1.1336 (1.2256)
2025-08-21,11:13:30 | INFO | Train Epoch: 1 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0241 (1.2252) Loss: 1.0241 (1.2252)
2025-08-21,11:14:40 | INFO | Train Epoch: 1 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0012 (1.2247) Loss: 1.0012 (1.2247)
2025-08-21,11:15:50 | INFO | Train Epoch: 1 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0907 (1.2244) Loss: 1.0907 (1.2244)
2025-08-21,11:17:00 | INFO | Train Epoch: 1 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93532 (1.2238) Loss: 0.93532 (1.2238)
2025-08-21,11:18:11 | INFO | Train Epoch: 1 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94870 (1.2232) Loss: 0.94870 (1.2232)
2025-08-21,11:19:21 | INFO | Train Epoch: 1 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1072 (1.2230) Loss: 1.1072 (1.2230)
2025-08-21,11:20:31 | INFO | Train Epoch: 1 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0447 (1.2226) Loss: 1.0447 (1.2226)
2025-08-21,11:21:41 | INFO | Train Epoch: 1 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0552 (1.2223) Loss: 1.0552 (1.2223)
2025-08-21,11:22:51 | INFO | Train Epoch: 1 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99329 (1.2218) Loss: 0.99329 (1.2218)
2025-08-21,11:24:01 | INFO | Train Epoch: 1 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99906 (1.2214) Loss: 0.99906 (1.2214)
2025-08-21,11:25:11 | INFO | Train Epoch: 1 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0073 (1.2209) Loss: 1.0073 (1.2209)
2025-08-21,11:26:21 | INFO | Train Epoch: 1 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93252 (1.2203) Loss: 0.93252 (1.2203)
2025-08-21,11:27:32 | INFO | Train Epoch: 1 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.96426 (1.2198) Loss: 0.96426 (1.2198)
2025-08-21,11:28:42 | INFO | Train Epoch: 1 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0019 (1.2193) Loss: 1.0019 (1.2193)
2025-08-21,11:29:52 | INFO | Train Epoch: 1 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.95529 (1.2188) Loss: 0.95529 (1.2188)
2025-08-21,11:31:02 | INFO | Train Epoch: 1 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1847 (1.2187) Loss: 1.1847 (1.2187)
2025-08-21,11:32:12 | INFO | Train Epoch: 1 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0347 (1.2184) Loss: 1.0347 (1.2184)
2025-08-21,11:33:22 | INFO | Train Epoch: 1 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.96540 (1.2178) Loss: 0.96540 (1.2178)
2025-08-21,11:34:32 | INFO | Train Epoch: 1 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.92391 (1.2172) Loss: 0.92391 (1.2172)
2025-08-21,11:35:42 | INFO | Train Epoch: 1 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0686 (1.2169) Loss: 1.0686 (1.2169)
2025-08-21,11:36:52 | INFO | Train Epoch: 1 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94483 (1.2164) Loss: 0.94483 (1.2164)
2025-08-21,11:38:02 | INFO | Train Epoch: 1 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85832 (1.2157) Loss: 0.85832 (1.2157)
2025-08-21,11:39:13 | INFO | Train Epoch: 1 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85414 (1.2149) Loss: 0.85414 (1.2149)
2025-08-21,11:40:23 | INFO | Train Epoch: 1 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0664 (1.2147) Loss: 1.0664 (1.2147)
2025-08-21,11:41:33 | INFO | Train Epoch: 1 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97023 (1.2142) Loss: 0.97023 (1.2142)
2025-08-21,11:42:43 | INFO | Train Epoch: 1 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99548 (1.2137) Loss: 0.99548 (1.2137)
2025-08-21,11:43:53 | INFO | Train Epoch: 1 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89107 (1.2131) Loss: 0.89107 (1.2131)
2025-08-21,11:45:03 | INFO | Train Epoch: 1 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.91722 (1.2125) Loss: 0.91722 (1.2125)
2025-08-21,11:46:13 | INFO | Train Epoch: 1 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0560 (1.2122) Loss: 1.0560 (1.2122)
2025-08-21,11:47:23 | INFO | Train Epoch: 1 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.98949 (1.2117) Loss: 0.98949 (1.2117)
2025-08-21,11:48:33 | INFO | Train Epoch: 1 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0041 (1.2113) Loss: 1.0041 (1.2113)
2025-08-21,11:49:43 | INFO | Train Epoch: 1 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81071 (1.2105) Loss: 0.81071 (1.2105)
2025-08-21,11:50:53 | INFO | Train Epoch: 1 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99200 (1.2101) Loss: 0.99200 (1.2101)
2025-08-21,11:52:04 | INFO | Train Epoch: 1 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99708 (1.2097) Loss: 0.99708 (1.2097)
2025-08-21,11:53:14 | INFO | Train Epoch: 1 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.92931 (1.2091) Loss: 0.92931 (1.2091)
2025-08-21,11:54:24 | INFO | Train Epoch: 1 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0064 (1.2087) Loss: 1.0064 (1.2087)
2025-08-21,11:55:34 | INFO | Train Epoch: 1 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0463 (1.2084) Loss: 1.0463 (1.2084)
2025-08-21,11:56:44 | INFO | Train Epoch: 1 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0343 (1.2081) Loss: 1.0343 (1.2081)
2025-08-21,11:57:54 | INFO | Train Epoch: 1 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0642 (1.2078) Loss: 1.0642 (1.2078)
2025-08-21,11:59:04 | INFO | Train Epoch: 1 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93385 (1.2073) Loss: 0.93385 (1.2073)
2025-08-21,12:00:15 | INFO | Train Epoch: 1 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.96878 (1.2068) Loss: 0.96878 (1.2068)
2025-08-21,12:01:21 | INFO | Train Epoch: 1 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0309 (1.2065) Loss: 1.0309 (1.2065)
2025-08-21,12:01:21 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-21,12:01:21 | INFO | [Epoch 1] Average Step Time: 0.704s | Average GPU Memory: 43.4 GB
2025-08-21,12:01:21 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-21,12:01:21 | INFO | Starting zero-shot imagenet.
2025-08-21,12:01:21 | INFO | Building zero-shot classifier
2025-08-21,12:01:31 | INFO | Using classifier
2025-08-21,12:02:19 | INFO | Finished zero-shot imagenet.
2025-08-21,12:02:19 | INFO | Eval Epoch: 2 imagenet-zeroshot-val-top1: 0.1873	imagenet-zeroshot-val-top5: 0.4015
2025-08-21,12:02:20 | INFO | Start epoch 2
2025-08-21,12:02:23 | INFO | Train Epoch: 2 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97701 (0.97701) Loss: 0.97701 (0.97701)
2025-08-21,12:03:32 | INFO | Train Epoch: 2 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0089 (0.99298) Loss: 1.0089 (0.99298)
2025-08-21,12:04:42 | INFO | Train Epoch: 2 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99639 (0.99411) Loss: 0.99639 (0.99411)
2025-08-21,12:05:52 | INFO | Train Epoch: 2 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93167 (0.97850) Loss: 0.93167 (0.97850)
2025-08-21,12:07:02 | INFO | Train Epoch: 2 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89402 (0.96161) Loss: 0.89402 (0.96161)
2025-08-21,12:08:12 | INFO | Train Epoch: 2 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94104 (0.95818) Loss: 0.94104 (0.95818)
2025-08-21,12:09:22 | INFO | Train Epoch: 2 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.91647 (0.95222) Loss: 0.91647 (0.95222)
2025-08-21,12:10:31 | INFO | Train Epoch: 2 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94676 (0.95154) Loss: 0.94676 (0.95154)
2025-08-21,12:11:41 | INFO | Train Epoch: 2 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81015 (0.93583) Loss: 0.81015 (0.93583)
2025-08-21,12:12:51 | INFO | Train Epoch: 2 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90002 (0.93225) Loss: 0.90002 (0.93225)
2025-08-21,12:14:01 | INFO | Train Epoch: 2 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.98064 (0.93664) Loss: 0.98064 (0.93664)
2025-08-21,12:15:11 | INFO | Train Epoch: 2 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0200 (0.94359) Loss: 1.0200 (0.94359)
2025-08-21,12:16:21 | INFO | Train Epoch: 2 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86996 (0.93792) Loss: 0.86996 (0.93792)
2025-08-21,12:17:31 | INFO | Train Epoch: 2 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82581 (0.92992) Loss: 0.82581 (0.92992)
2025-08-21,12:18:40 | INFO | Train Epoch: 2 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0028 (0.93478) Loss: 1.0028 (0.93478)
2025-08-21,12:19:50 | INFO | Train Epoch: 2 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89195 (0.93210) Loss: 0.89195 (0.93210)
2025-08-21,12:21:00 | INFO | Train Epoch: 2 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0144 (0.93695) Loss: 1.0144 (0.93695)
2025-08-21,12:22:10 | INFO | Train Epoch: 2 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0156 (0.94132) Loss: 1.0156 (0.94132)
2025-08-21,12:23:20 | INFO | Train Epoch: 2 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.92020 (0.94021) Loss: 0.92020 (0.94021)
2025-08-21,12:24:29 | INFO | Train Epoch: 2 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0193 (0.94416) Loss: 1.0193 (0.94416)
2025-08-21,12:25:39 | INFO | Train Epoch: 2 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86325 (0.94031) Loss: 0.86325 (0.94031)
2025-08-21,12:26:49 | INFO | Train Epoch: 2 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97102 (0.94170) Loss: 0.97102 (0.94170)
2025-08-21,12:27:59 | INFO | Train Epoch: 2 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.95473 (0.94227) Loss: 0.95473 (0.94227)
2025-08-21,12:29:09 | INFO | Train Epoch: 2 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0249 (0.94571) Loss: 1.0249 (0.94571)
2025-08-21,12:30:19 | INFO | Train Epoch: 2 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89960 (0.94387) Loss: 0.89960 (0.94387)
2025-08-21,12:31:29 | INFO | Train Epoch: 2 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0112 (0.94645) Loss: 1.0112 (0.94645)
2025-08-21,12:32:38 | INFO | Train Epoch: 2 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93062 (0.94587) Loss: 0.93062 (0.94587)
2025-08-21,12:33:48 | INFO | Train Epoch: 2 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.98246 (0.94717) Loss: 0.98246 (0.94717)
2025-08-21,12:34:58 | INFO | Train Epoch: 2 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0361 (0.95024) Loss: 1.0361 (0.95024)
2025-08-21,12:36:07 | INFO | Train Epoch: 2 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83854 (0.94652) Loss: 0.83854 (0.94652)
2025-08-21,12:37:17 | INFO | Train Epoch: 2 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78941 (0.94145) Loss: 0.78941 (0.94145)
2025-08-21,12:38:27 | INFO | Train Epoch: 2 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77329 (0.93620) Loss: 0.77329 (0.93620)
2025-08-21,12:39:37 | INFO | Train Epoch: 2 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94457 (0.93645) Loss: 0.94457 (0.93645)
2025-08-21,12:40:46 | INFO | Train Epoch: 2 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90699 (0.93558) Loss: 0.90699 (0.93558)
2025-08-21,12:41:56 | INFO | Train Epoch: 2 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99982 (0.93742) Loss: 0.99982 (0.93742)
2025-08-21,12:43:06 | INFO | Train Epoch: 2 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85081 (0.93501) Loss: 0.85081 (0.93501)
2025-08-21,12:44:16 | INFO | Train Epoch: 2 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.96735 (0.93589) Loss: 0.96735 (0.93589)
2025-08-21,12:45:26 | INFO | Train Epoch: 2 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97813 (0.93700) Loss: 0.97813 (0.93700)
2025-08-21,12:46:36 | INFO | Train Epoch: 2 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83110 (0.93428) Loss: 0.83110 (0.93428)
2025-08-21,12:47:46 | INFO | Train Epoch: 2 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.95176 (0.93472) Loss: 0.95176 (0.93472)
2025-08-21,12:48:56 | INFO | Train Epoch: 2 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88694 (0.93356) Loss: 0.88694 (0.93356)
2025-08-21,12:50:06 | INFO | Train Epoch: 2 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90659 (0.93291) Loss: 0.90659 (0.93291)
2025-08-21,12:51:15 | INFO | Train Epoch: 2 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83194 (0.93056) Loss: 0.83194 (0.93056)
2025-08-21,12:52:25 | INFO | Train Epoch: 2 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89033 (0.92965) Loss: 0.89033 (0.92965)
2025-08-21,12:53:35 | INFO | Train Epoch: 2 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99436 (0.93109) Loss: 0.99436 (0.93109)
2025-08-21,12:54:45 | INFO | Train Epoch: 2 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.1246 (0.93530) Loss: 1.1246 (0.93530)
2025-08-21,12:55:55 | INFO | Train Epoch: 2 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83531 (0.93317) Loss: 0.83531 (0.93317)
2025-08-21,12:57:05 | INFO | Train Epoch: 2 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78151 (0.93001) Loss: 0.78151 (0.93001)
2025-08-21,12:58:15 | INFO | Train Epoch: 2 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97932 (0.93101) Loss: 0.97932 (0.93101)
2025-08-21,12:59:25 | INFO | Train Epoch: 2 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0231 (0.93286) Loss: 1.0231 (0.93286)
2025-08-21,13:00:35 | INFO | Train Epoch: 2 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86079 (0.93144) Loss: 0.86079 (0.93144)
2025-08-21,13:01:45 | INFO | Train Epoch: 2 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87087 (0.93028) Loss: 0.87087 (0.93028)
2025-08-21,13:02:55 | INFO | Train Epoch: 2 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83520 (0.92848) Loss: 0.83520 (0.92848)
2025-08-21,13:04:05 | INFO | Train Epoch: 2 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90479 (0.92805) Loss: 0.90479 (0.92805)
2025-08-21,13:05:15 | INFO | Train Epoch: 2 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90440 (0.92762) Loss: 0.90440 (0.92762)
2025-08-21,13:06:24 | INFO | Train Epoch: 2 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87525 (0.92668) Loss: 0.87525 (0.92668)
2025-08-21,13:07:34 | INFO | Train Epoch: 2 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82003 (0.92481) Loss: 0.82003 (0.92481)
2025-08-21,13:08:44 | INFO | Train Epoch: 2 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87293 (0.92391) Loss: 0.87293 (0.92391)
2025-08-21,13:09:54 | INFO | Train Epoch: 2 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0480 (0.92602) Loss: 1.0480 (0.92602)
2025-08-21,13:11:04 | INFO | Train Epoch: 2 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79093 (0.92377) Loss: 0.79093 (0.92377)
2025-08-21,13:12:14 | INFO | Train Epoch: 2 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.91554 (0.92363) Loss: 0.91554 (0.92363)
2025-08-21,13:13:24 | INFO | Train Epoch: 2 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81794 (0.92193) Loss: 0.81794 (0.92193)
2025-08-21,13:14:34 | INFO | Train Epoch: 2 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90988 (0.92174) Loss: 0.90988 (0.92174)
2025-08-21,13:15:44 | INFO | Train Epoch: 2 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90592 (0.92149) Loss: 0.90592 (0.92149)
2025-08-21,13:16:54 | INFO | Train Epoch: 2 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79508 (0.91954) Loss: 0.79508 (0.91954)
2025-08-21,13:18:04 | INFO | Train Epoch: 2 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93803 (0.91982) Loss: 0.93803 (0.91982)
2025-08-21,13:19:13 | INFO | Train Epoch: 2 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84193 (0.91866) Loss: 0.84193 (0.91866)
2025-08-21,13:20:23 | INFO | Train Epoch: 2 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0018 (0.91988) Loss: 1.0018 (0.91988)
2025-08-21,13:21:33 | INFO | Train Epoch: 2 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83450 (0.91865) Loss: 0.83450 (0.91865)
2025-08-21,13:22:43 | INFO | Train Epoch: 2 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.97126 (0.91940) Loss: 0.97126 (0.91940)
2025-08-21,13:23:54 | INFO | Train Epoch: 2 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86790 (0.91867) Loss: 0.86790 (0.91867)
2025-08-21,13:25:03 | INFO | Train Epoch: 2 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86775 (0.91797) Loss: 0.86775 (0.91797)
2025-08-21,13:26:13 | INFO | Train Epoch: 2 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94264 (0.91830) Loss: 0.94264 (0.91830)
2025-08-21,13:27:23 | INFO | Train Epoch: 2 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88134 (0.91780) Loss: 0.88134 (0.91780)
2025-08-21,13:28:33 | INFO | Train Epoch: 2 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75023 (0.91557) Loss: 0.75023 (0.91557)
2025-08-21,13:29:43 | INFO | Train Epoch: 2 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87580 (0.91505) Loss: 0.87580 (0.91505)
2025-08-21,13:30:53 | INFO | Train Epoch: 2 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87740 (0.91456) Loss: 0.87740 (0.91456)
2025-08-21,13:32:03 | INFO | Train Epoch: 2 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83689 (0.91356) Loss: 0.83689 (0.91356)
2025-08-21,13:33:13 | INFO | Train Epoch: 2 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86913 (0.91300) Loss: 0.86913 (0.91300)
2025-08-21,13:34:23 | INFO | Train Epoch: 2 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83104 (0.91197) Loss: 0.83104 (0.91197)
2025-08-21,13:35:33 | INFO | Train Epoch: 2 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80445 (0.91065) Loss: 0.80445 (0.91065)
2025-08-21,13:36:43 | INFO | Train Epoch: 2 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82678 (0.90962) Loss: 0.82678 (0.90962)
2025-08-21,13:37:53 | INFO | Train Epoch: 2 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82562 (0.90861) Loss: 0.82562 (0.90861)
2025-08-21,13:39:03 | INFO | Train Epoch: 2 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94673 (0.90907) Loss: 0.94673 (0.90907)
2025-08-21,13:40:13 | INFO | Train Epoch: 2 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.95570 (0.90961) Loss: 0.95570 (0.90961)
2025-08-21,13:41:23 | INFO | Train Epoch: 2 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90195 (0.90953) Loss: 0.90195 (0.90953)
2025-08-21,13:42:33 | INFO | Train Epoch: 2 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84026 (0.90873) Loss: 0.84026 (0.90873)
2025-08-21,13:43:43 | INFO | Train Epoch: 2 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81360 (0.90765) Loss: 0.81360 (0.90765)
2025-08-21,13:44:53 | INFO | Train Epoch: 2 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.91199 (0.90770) Loss: 0.91199 (0.90770)
2025-08-21,13:46:02 | INFO | Train Epoch: 2 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88606 (0.90746) Loss: 0.88606 (0.90746)
2025-08-21,13:47:12 | INFO | Train Epoch: 2 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88278 (0.90719) Loss: 0.88278 (0.90719)
2025-08-21,13:48:22 | INFO | Train Epoch: 2 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85248 (0.90659) Loss: 0.85248 (0.90659)
2025-08-21,13:49:32 | INFO | Train Epoch: 2 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64615 (0.90379) Loss: 0.64615 (0.90379)
2025-08-21,13:50:42 | INFO | Train Epoch: 2 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 1.0690 (0.90555) Loss: 1.0690 (0.90555)
2025-08-21,13:51:52 | INFO | Train Epoch: 2 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86368 (0.90511) Loss: 0.86368 (0.90511)
2025-08-21,13:53:02 | INFO | Train Epoch: 2 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83857 (0.90441) Loss: 0.83857 (0.90441)
2025-08-21,13:54:12 | INFO | Train Epoch: 2 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88822 (0.90425) Loss: 0.88822 (0.90425)
2025-08-21,13:55:22 | INFO | Train Epoch: 2 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90173 (0.90422) Loss: 0.90173 (0.90422)
2025-08-21,13:56:32 | INFO | Train Epoch: 2 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88352 (0.90401) Loss: 0.88352 (0.90401)
2025-08-21,13:57:42 | INFO | Train Epoch: 2 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.92693 (0.90424) Loss: 0.92693 (0.90424)
2025-08-21,13:58:52 | INFO | Train Epoch: 2 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89312 (0.90413) Loss: 0.89312 (0.90413)
2025-08-21,14:00:02 | INFO | Train Epoch: 2 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.96276 (0.90471) Loss: 0.96276 (0.90471)
2025-08-21,14:01:12 | INFO | Train Epoch: 2 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81435 (0.90383) Loss: 0.81435 (0.90383)
2025-08-21,14:02:22 | INFO | Train Epoch: 2 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81572 (0.90298) Loss: 0.81572 (0.90298)
2025-08-21,14:03:32 | INFO | Train Epoch: 2 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87079 (0.90267) Loss: 0.87079 (0.90267)
2025-08-21,14:04:42 | INFO | Train Epoch: 2 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89139 (0.90257) Loss: 0.89139 (0.90257)
2025-08-21,14:05:52 | INFO | Train Epoch: 2 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86114 (0.90218) Loss: 0.86114 (0.90218)
2025-08-21,14:07:02 | INFO | Train Epoch: 2 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74687 (0.90074) Loss: 0.74687 (0.90074)
2025-08-21,14:08:11 | INFO | Train Epoch: 2 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86346 (0.90040) Loss: 0.86346 (0.90040)
2025-08-21,14:09:21 | INFO | Train Epoch: 2 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84765 (0.89992) Loss: 0.84765 (0.89992)
2025-08-21,14:10:31 | INFO | Train Epoch: 2 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82167 (0.89922) Loss: 0.82167 (0.89922)
2025-08-21,14:11:41 | INFO | Train Epoch: 2 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81006 (0.89842) Loss: 0.81006 (0.89842)
2025-08-21,14:12:51 | INFO | Train Epoch: 2 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83558 (0.89786) Loss: 0.83558 (0.89786)
2025-08-21,14:14:01 | INFO | Train Epoch: 2 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77483 (0.89679) Loss: 0.77483 (0.89679)
2025-08-21,14:15:11 | INFO | Train Epoch: 2 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.95694 (0.89731) Loss: 0.95694 (0.89731)
2025-08-21,14:16:21 | INFO | Train Epoch: 2 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.92153 (0.89752) Loss: 0.92153 (0.89752)
2025-08-21,14:17:31 | INFO | Train Epoch: 2 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88725 (0.89743) Loss: 0.88725 (0.89743)
2025-08-21,14:18:41 | INFO | Train Epoch: 2 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83715 (0.89692) Loss: 0.83715 (0.89692)
2025-08-21,14:19:51 | INFO | Train Epoch: 2 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.92479 (0.89715) Loss: 0.92479 (0.89715)
2025-08-21,14:21:00 | INFO | Train Epoch: 2 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86392 (0.89688) Loss: 0.86392 (0.89688)
2025-08-21,14:22:11 | INFO | Train Epoch: 2 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88968 (0.89682) Loss: 0.88968 (0.89682)
2025-08-21,14:23:21 | INFO | Train Epoch: 2 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94671 (0.89723) Loss: 0.94671 (0.89723)
2025-08-21,14:24:30 | INFO | Train Epoch: 2 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86156 (0.89694) Loss: 0.86156 (0.89694)
2025-08-21,14:25:40 | INFO | Train Epoch: 2 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71920 (0.89550) Loss: 0.71920 (0.89550)
2025-08-21,14:26:50 | INFO | Train Epoch: 2 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85440 (0.89517) Loss: 0.85440 (0.89517)
2025-08-21,14:28:00 | INFO | Train Epoch: 2 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87459 (0.89501) Loss: 0.87459 (0.89501)
2025-08-21,14:29:10 | INFO | Train Epoch: 2 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86416 (0.89477) Loss: 0.86416 (0.89477)
2025-08-21,14:30:20 | INFO | Train Epoch: 2 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.91178 (0.89490) Loss: 0.91178 (0.89490)
2025-08-21,14:31:30 | INFO | Train Epoch: 2 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93323 (0.89520) Loss: 0.93323 (0.89520)
2025-08-21,14:32:40 | INFO | Train Epoch: 2 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81661 (0.89459) Loss: 0.81661 (0.89459)
2025-08-21,14:33:50 | INFO | Train Epoch: 2 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84662 (0.89423) Loss: 0.84662 (0.89423)
2025-08-21,14:35:00 | INFO | Train Epoch: 2 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75386 (0.89316) Loss: 0.75386 (0.89316)
2025-08-21,14:36:10 | INFO | Train Epoch: 2 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.98705 (0.89387) Loss: 0.98705 (0.89387)
2025-08-21,14:37:19 | INFO | Train Epoch: 2 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90344 (0.89394) Loss: 0.90344 (0.89394)
2025-08-21,14:38:29 | INFO | Train Epoch: 2 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81799 (0.89338) Loss: 0.81799 (0.89338)
2025-08-21,14:39:39 | INFO | Train Epoch: 2 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94063 (0.89372) Loss: 0.94063 (0.89372)
2025-08-21,14:40:49 | INFO | Train Epoch: 2 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.92922 (0.89398) Loss: 0.92922 (0.89398)
2025-08-21,14:41:59 | INFO | Train Epoch: 2 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82511 (0.89348) Loss: 0.82511 (0.89348)
2025-08-21,14:43:09 | INFO | Train Epoch: 2 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.92836 (0.89374) Loss: 0.92836 (0.89374)
2025-08-21,14:44:20 | INFO | Train Epoch: 2 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85657 (0.89347) Loss: 0.85657 (0.89347)
2025-08-21,14:45:30 | INFO | Train Epoch: 2 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88220 (0.89339) Loss: 0.88220 (0.89339)
2025-08-21,14:46:40 | INFO | Train Epoch: 2 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87524 (0.89326) Loss: 0.87524 (0.89326)
2025-08-21,14:47:50 | INFO | Train Epoch: 2 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.95875 (0.89372) Loss: 0.95875 (0.89372)
2025-08-21,14:49:00 | INFO | Train Epoch: 2 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81496 (0.89317) Loss: 0.81496 (0.89317)
2025-08-21,14:50:10 | INFO | Train Epoch: 2 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88109 (0.89309) Loss: 0.88109 (0.89309)
2025-08-21,14:51:20 | INFO | Train Epoch: 2 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86846 (0.89292) Loss: 0.86846 (0.89292)
2025-08-21,14:52:30 | INFO | Train Epoch: 2 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99559 (0.89362) Loss: 0.99559 (0.89362)
2025-08-21,14:53:40 | INFO | Train Epoch: 2 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94588 (0.89397) Loss: 0.94588 (0.89397)
2025-08-21,14:54:50 | INFO | Train Epoch: 2 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82120 (0.89348) Loss: 0.82120 (0.89348)
2025-08-21,14:56:00 | INFO | Train Epoch: 2 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79397 (0.89282) Loss: 0.79397 (0.89282)
2025-08-21,14:57:10 | INFO | Train Epoch: 2 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80617 (0.89225) Loss: 0.80617 (0.89225)
2025-08-21,14:58:20 | INFO | Train Epoch: 2 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87930 (0.89216) Loss: 0.87930 (0.89216)
2025-08-21,14:59:30 | INFO | Train Epoch: 2 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.91222 (0.89229) Loss: 0.91222 (0.89229)
2025-08-21,15:00:40 | INFO | Train Epoch: 2 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86591 (0.89212) Loss: 0.86591 (0.89212)
2025-08-21,15:01:50 | INFO | Train Epoch: 2 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83918 (0.89178) Loss: 0.83918 (0.89178)
2025-08-21,15:03:00 | INFO | Train Epoch: 2 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81478 (0.89129) Loss: 0.81478 (0.89129)
2025-08-21,15:04:10 | INFO | Train Epoch: 2 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76736 (0.89050) Loss: 0.76736 (0.89050)
2025-08-21,15:05:21 | INFO | Train Epoch: 2 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93007 (0.89075) Loss: 0.93007 (0.89075)
2025-08-21,15:06:31 | INFO | Train Epoch: 2 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77487 (0.89002) Loss: 0.77487 (0.89002)
2025-08-21,15:07:41 | INFO | Train Epoch: 2 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89767 (0.89007) Loss: 0.89767 (0.89007)
2025-08-21,15:08:50 | INFO | Train Epoch: 2 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82287 (0.88965) Loss: 0.82287 (0.88965)
2025-08-21,15:10:00 | INFO | Train Epoch: 2 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.99612 (0.89031) Loss: 0.99612 (0.89031)
2025-08-21,15:11:10 | INFO | Train Epoch: 2 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87566 (0.89022) Loss: 0.87566 (0.89022)
2025-08-21,15:12:20 | INFO | Train Epoch: 2 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88981 (0.89021) Loss: 0.88981 (0.89021)
2025-08-21,15:13:30 | INFO | Train Epoch: 2 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84232 (0.88992) Loss: 0.84232 (0.88992)
2025-08-21,15:14:41 | INFO | Train Epoch: 2 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.98930 (0.89052) Loss: 0.98930 (0.89052)
2025-08-21,15:15:51 | INFO | Train Epoch: 2 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83306 (0.89018) Loss: 0.83306 (0.89018)
2025-08-21,15:17:00 | INFO | Train Epoch: 2 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84699 (0.88992) Loss: 0.84699 (0.88992)
2025-08-21,15:18:10 | INFO | Train Epoch: 2 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85182 (0.88970) Loss: 0.85182 (0.88970)
2025-08-21,15:19:20 | INFO | Train Epoch: 2 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87566 (0.88961) Loss: 0.87566 (0.88961)
2025-08-21,15:20:31 | INFO | Train Epoch: 2 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.91507 (0.88976) Loss: 0.91507 (0.88976)
2025-08-21,15:21:41 | INFO | Train Epoch: 2 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72777 (0.88882) Loss: 0.72777 (0.88882)
2025-08-21,15:22:50 | INFO | Train Epoch: 2 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84045 (0.88854) Loss: 0.84045 (0.88854)
2025-08-21,15:24:00 | INFO | Train Epoch: 2 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82995 (0.88820) Loss: 0.82995 (0.88820)
2025-08-21,15:25:10 | INFO | Train Epoch: 2 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76093 (0.88748) Loss: 0.76093 (0.88748)
2025-08-21,15:26:20 | INFO | Train Epoch: 2 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82656 (0.88713) Loss: 0.82656 (0.88713)
2025-08-21,15:27:30 | INFO | Train Epoch: 2 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88053 (0.88709) Loss: 0.88053 (0.88709)
2025-08-21,15:28:40 | INFO | Train Epoch: 2 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78246 (0.88651) Loss: 0.78246 (0.88651)
2025-08-21,15:29:50 | INFO | Train Epoch: 2 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94191 (0.88682) Loss: 0.94191 (0.88682)
2025-08-21,15:31:00 | INFO | Train Epoch: 2 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78311 (0.88624) Loss: 0.78311 (0.88624)
2025-08-21,15:32:10 | INFO | Train Epoch: 2 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84756 (0.88603) Loss: 0.84756 (0.88603)
2025-08-21,15:33:20 | INFO | Train Epoch: 2 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73779 (0.88521) Loss: 0.73779 (0.88521)
2025-08-21,15:34:30 | INFO | Train Epoch: 2 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83192 (0.88492) Loss: 0.83192 (0.88492)
2025-08-21,15:35:40 | INFO | Train Epoch: 2 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80918 (0.88451) Loss: 0.80918 (0.88451)
2025-08-21,15:36:50 | INFO | Train Epoch: 2 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79272 (0.88401) Loss: 0.79272 (0.88401)
2025-08-21,15:38:00 | INFO | Train Epoch: 2 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80952 (0.88361) Loss: 0.80952 (0.88361)
2025-08-21,15:39:10 | INFO | Train Epoch: 2 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74608 (0.88288) Loss: 0.74608 (0.88288)
2025-08-21,15:40:20 | INFO | Train Epoch: 2 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74457 (0.88214) Loss: 0.74457 (0.88214)
2025-08-21,15:41:30 | INFO | Train Epoch: 2 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72989 (0.88133) Loss: 0.72989 (0.88133)
2025-08-21,15:42:40 | INFO | Train Epoch: 2 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79858 (0.88090) Loss: 0.79858 (0.88090)
2025-08-21,15:43:50 | INFO | Train Epoch: 2 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85956 (0.88079) Loss: 0.85956 (0.88079)
2025-08-21,15:45:00 | INFO | Train Epoch: 2 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78820 (0.88031) Loss: 0.78820 (0.88031)
2025-08-21,15:46:10 | INFO | Train Epoch: 2 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81076 (0.87995) Loss: 0.81076 (0.87995)
2025-08-21,15:47:20 | INFO | Train Epoch: 2 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94599 (0.88029) Loss: 0.94599 (0.88029)
2025-08-21,15:48:30 | INFO | Train Epoch: 2 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84854 (0.88012) Loss: 0.84854 (0.88012)
2025-08-21,15:49:40 | INFO | Train Epoch: 2 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87378 (0.88009) Loss: 0.87378 (0.88009)
2025-08-21,15:50:50 | INFO | Train Epoch: 2 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.92227 (0.88030) Loss: 0.92227 (0.88030)
2025-08-21,15:52:00 | INFO | Train Epoch: 2 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80366 (0.87992) Loss: 0.80366 (0.87992)
2025-08-21,15:53:10 | INFO | Train Epoch: 2 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73249 (0.87918) Loss: 0.73249 (0.87918)
2025-08-21,15:54:20 | INFO | Train Epoch: 2 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90799 (0.87932) Loss: 0.90799 (0.87932)
2025-08-21,15:55:30 | INFO | Train Epoch: 2 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88589 (0.87935) Loss: 0.88589 (0.87935)
2025-08-21,15:56:40 | INFO | Train Epoch: 2 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79499 (0.87894) Loss: 0.79499 (0.87894)
2025-08-21,15:57:50 | INFO | Train Epoch: 2 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89527 (0.87902) Loss: 0.89527 (0.87902)
2025-08-21,15:59:00 | INFO | Train Epoch: 2 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86286 (0.87894) Loss: 0.86286 (0.87894)
2025-08-21,16:00:10 | INFO | Train Epoch: 2 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68711 (0.87800) Loss: 0.68711 (0.87800)
2025-08-21,16:01:20 | INFO | Train Epoch: 2 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79403 (0.87759) Loss: 0.79403 (0.87759)
2025-08-21,16:02:30 | INFO | Train Epoch: 2 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61722 (0.87634) Loss: 0.61722 (0.87634)
2025-08-21,16:03:40 | INFO | Train Epoch: 2 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80917 (0.87601) Loss: 0.80917 (0.87601)
2025-08-21,16:04:50 | INFO | Train Epoch: 2 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78696 (0.87559) Loss: 0.78696 (0.87559)
2025-08-21,16:06:00 | INFO | Train Epoch: 2 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81723 (0.87531) Loss: 0.81723 (0.87531)
2025-08-21,16:07:10 | INFO | Train Epoch: 2 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85919 (0.87523) Loss: 0.85919 (0.87523)
2025-08-21,16:08:20 | INFO | Train Epoch: 2 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77565 (0.87476) Loss: 0.77565 (0.87476)
2025-08-21,16:09:30 | INFO | Train Epoch: 2 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90358 (0.87490) Loss: 0.90358 (0.87490)
2025-08-21,16:10:40 | INFO | Train Epoch: 2 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77325 (0.87442) Loss: 0.77325 (0.87442)
2025-08-21,16:11:50 | INFO | Train Epoch: 2 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85188 (0.87432) Loss: 0.85188 (0.87432)
2025-08-21,16:13:00 | INFO | Train Epoch: 2 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71916 (0.87360) Loss: 0.71916 (0.87360)
2025-08-21,16:14:10 | INFO | Train Epoch: 2 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86908 (0.87358) Loss: 0.86908 (0.87358)
2025-08-21,16:15:20 | INFO | Train Epoch: 2 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88284 (0.87362) Loss: 0.88284 (0.87362)
2025-08-21,16:16:30 | INFO | Train Epoch: 2 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72623 (0.87295) Loss: 0.72623 (0.87295)
2025-08-21,16:17:40 | INFO | Train Epoch: 2 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87174 (0.87294) Loss: 0.87174 (0.87294)
2025-08-21,16:18:50 | INFO | Train Epoch: 2 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74405 (0.87236) Loss: 0.74405 (0.87236)
2025-08-21,16:20:00 | INFO | Train Epoch: 2 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81904 (0.87212) Loss: 0.81904 (0.87212)
2025-08-21,16:21:11 | INFO | Train Epoch: 2 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86116 (0.87207) Loss: 0.86116 (0.87207)
2025-08-21,16:22:20 | INFO | Train Epoch: 2 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74777 (0.87152) Loss: 0.74777 (0.87152)
2025-08-21,16:23:30 | INFO | Train Epoch: 2 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76731 (0.87105) Loss: 0.76731 (0.87105)
2025-08-21,16:24:40 | INFO | Train Epoch: 2 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81856 (0.87082) Loss: 0.81856 (0.87082)
2025-08-21,16:25:50 | INFO | Train Epoch: 2 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80640 (0.87054) Loss: 0.80640 (0.87054)
2025-08-21,16:27:00 | INFO | Train Epoch: 2 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74551 (0.86999) Loss: 0.74551 (0.86999)
2025-08-21,16:28:10 | INFO | Train Epoch: 2 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90048 (0.87012) Loss: 0.90048 (0.87012)
2025-08-21,16:29:20 | INFO | Train Epoch: 2 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89958 (0.87025) Loss: 0.89958 (0.87025)
2025-08-21,16:30:30 | INFO | Train Epoch: 2 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67597 (0.86941) Loss: 0.67597 (0.86941)
2025-08-21,16:31:40 | INFO | Train Epoch: 2 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85409 (0.86934) Loss: 0.85409 (0.86934)
2025-08-21,16:32:51 | INFO | Train Epoch: 2 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78919 (0.86900) Loss: 0.78919 (0.86900)
2025-08-21,16:34:01 | INFO | Train Epoch: 2 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76729 (0.86856) Loss: 0.76729 (0.86856)
2025-08-21,16:35:11 | INFO | Train Epoch: 2 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75596 (0.86808) Loss: 0.75596 (0.86808)
2025-08-21,16:36:21 | INFO | Train Epoch: 2 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79150 (0.86776) Loss: 0.79150 (0.86776)
2025-08-21,16:37:31 | INFO | Train Epoch: 2 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77519 (0.86737) Loss: 0.77519 (0.86737)
2025-08-21,16:38:41 | INFO | Train Epoch: 2 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87051 (0.86738) Loss: 0.87051 (0.86738)
2025-08-21,16:39:51 | INFO | Train Epoch: 2 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79814 (0.86709) Loss: 0.79814 (0.86709)
2025-08-21,16:41:01 | INFO | Train Epoch: 2 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75641 (0.86663) Loss: 0.75641 (0.86663)
2025-08-21,16:42:11 | INFO | Train Epoch: 2 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76463 (0.86621) Loss: 0.76463 (0.86621)
2025-08-21,16:43:21 | INFO | Train Epoch: 2 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87645 (0.86625) Loss: 0.87645 (0.86625)
2025-08-21,16:44:31 | INFO | Train Epoch: 2 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87320 (0.86628) Loss: 0.87320 (0.86628)
2025-08-21,16:45:41 | INFO | Train Epoch: 2 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79821 (0.86600) Loss: 0.79821 (0.86600)
2025-08-21,16:46:51 | INFO | Train Epoch: 2 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76313 (0.86558) Loss: 0.76313 (0.86558)
2025-08-21,16:48:01 | INFO | Train Epoch: 2 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84406 (0.86549) Loss: 0.84406 (0.86549)
2025-08-21,16:49:11 | INFO | Train Epoch: 2 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84691 (0.86542) Loss: 0.84691 (0.86542)
2025-08-21,16:50:21 | INFO | Train Epoch: 2 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84767 (0.86535) Loss: 0.84767 (0.86535)
2025-08-21,16:51:31 | INFO | Train Epoch: 2 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73665 (0.86483) Loss: 0.73665 (0.86483)
2025-08-21,16:52:41 | INFO | Train Epoch: 2 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88411 (0.86491) Loss: 0.88411 (0.86491)
2025-08-21,16:53:51 | INFO | Train Epoch: 2 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90948 (0.86508) Loss: 0.90948 (0.86508)
2025-08-21,16:55:01 | INFO | Train Epoch: 2 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.94761 (0.86541) Loss: 0.94761 (0.86541)
2025-08-21,16:56:11 | INFO | Train Epoch: 2 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81759 (0.86522) Loss: 0.81759 (0.86522)
2025-08-21,16:57:21 | INFO | Train Epoch: 2 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85385 (0.86518) Loss: 0.85385 (0.86518)
2025-08-21,16:58:31 | INFO | Train Epoch: 2 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88110 (0.86524) Loss: 0.88110 (0.86524)
2025-08-21,16:59:41 | INFO | Train Epoch: 2 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87619 (0.86528) Loss: 0.87619 (0.86528)
2025-08-21,17:00:51 | INFO | Train Epoch: 2 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81647 (0.86509) Loss: 0.81647 (0.86509)
2025-08-21,17:02:01 | INFO | Train Epoch: 2 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70767 (0.86448) Loss: 0.70767 (0.86448)
2025-08-21,17:03:11 | INFO | Train Epoch: 2 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75997 (0.86408) Loss: 0.75997 (0.86408)
2025-08-21,17:04:21 | INFO | Train Epoch: 2 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77771 (0.86375) Loss: 0.77771 (0.86375)
2025-08-21,17:05:32 | INFO | Train Epoch: 2 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72272 (0.86321) Loss: 0.72272 (0.86321)
2025-08-21,17:06:42 | INFO | Train Epoch: 2 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69446 (0.86256) Loss: 0.69446 (0.86256)
2025-08-21,17:07:52 | INFO | Train Epoch: 2 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67450 (0.86185) Loss: 0.67450 (0.86185)
2025-08-21,17:09:02 | INFO | Train Epoch: 2 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84560 (0.86179) Loss: 0.84560 (0.86179)
2025-08-21,17:10:12 | INFO | Train Epoch: 2 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90516 (0.86195) Loss: 0.90516 (0.86195)
2025-08-21,17:11:22 | INFO | Train Epoch: 2 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73141 (0.86146) Loss: 0.73141 (0.86146)
2025-08-21,17:12:32 | INFO | Train Epoch: 2 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93324 (0.86173) Loss: 0.93324 (0.86173)
2025-08-21,17:13:42 | INFO | Train Epoch: 2 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85557 (0.86170) Loss: 0.85557 (0.86170)
2025-08-21,17:14:52 | INFO | Train Epoch: 2 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80027 (0.86148) Loss: 0.80027 (0.86148)
2025-08-21,17:16:02 | INFO | Train Epoch: 2 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70447 (0.86089) Loss: 0.70447 (0.86089)
2025-08-21,17:17:12 | INFO | Train Epoch: 2 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84464 (0.86083) Loss: 0.84464 (0.86083)
2025-08-21,17:18:22 | INFO | Train Epoch: 2 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73778 (0.86038) Loss: 0.73778 (0.86038)
2025-08-21,17:19:32 | INFO | Train Epoch: 2 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86445 (0.86040) Loss: 0.86445 (0.86040)
2025-08-21,17:20:42 | INFO | Train Epoch: 2 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74385 (0.85997) Loss: 0.74385 (0.85997)
2025-08-21,17:21:52 | INFO | Train Epoch: 2 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71519 (0.85945) Loss: 0.71519 (0.85945)
2025-08-21,17:23:03 | INFO | Train Epoch: 2 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85587 (0.85943) Loss: 0.85587 (0.85943)
2025-08-21,17:24:13 | INFO | Train Epoch: 2 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82508 (0.85931) Loss: 0.82508 (0.85931)
2025-08-21,17:25:23 | INFO | Train Epoch: 2 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88236 (0.85939) Loss: 0.88236 (0.85939)
2025-08-21,17:26:33 | INFO | Train Epoch: 2 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74348 (0.85898) Loss: 0.74348 (0.85898)
2025-08-21,17:27:43 | INFO | Train Epoch: 2 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70350 (0.85842) Loss: 0.70350 (0.85842)
2025-08-21,17:28:53 | INFO | Train Epoch: 2 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84150 (0.85836) Loss: 0.84150 (0.85836)
2025-08-21,17:30:03 | INFO | Train Epoch: 2 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73650 (0.85793) Loss: 0.73650 (0.85793)
2025-08-21,17:31:13 | INFO | Train Epoch: 2 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81155 (0.85776) Loss: 0.81155 (0.85776)
2025-08-21,17:32:23 | INFO | Train Epoch: 2 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82188 (0.85764) Loss: 0.82188 (0.85764)
2025-08-21,17:33:33 | INFO | Train Epoch: 2 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75097 (0.85726) Loss: 0.75097 (0.85726)
2025-08-21,17:34:43 | INFO | Train Epoch: 2 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76511 (0.85694) Loss: 0.76511 (0.85694)
2025-08-21,17:35:53 | INFO | Train Epoch: 2 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70026 (0.85640) Loss: 0.70026 (0.85640)
2025-08-21,17:37:03 | INFO | Train Epoch: 2 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76103 (0.85606) Loss: 0.76103 (0.85606)
2025-08-21,17:38:13 | INFO | Train Epoch: 2 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69822 (0.85552) Loss: 0.69822 (0.85552)
2025-08-21,17:39:24 | INFO | Train Epoch: 2 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77575 (0.85524) Loss: 0.77575 (0.85524)
2025-08-21,17:40:34 | INFO | Train Epoch: 2 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71937 (0.85478) Loss: 0.71937 (0.85478)
2025-08-21,17:41:44 | INFO | Train Epoch: 2 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76325 (0.85446) Loss: 0.76325 (0.85446)
2025-08-21,17:42:54 | INFO | Train Epoch: 2 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67782 (0.85386) Loss: 0.67782 (0.85386)
2025-08-21,17:44:04 | INFO | Train Epoch: 2 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74208 (0.85348) Loss: 0.74208 (0.85348)
2025-08-21,17:45:14 | INFO | Train Epoch: 2 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73495 (0.85308) Loss: 0.73495 (0.85308)
2025-08-21,17:46:24 | INFO | Train Epoch: 2 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75378 (0.85274) Loss: 0.75378 (0.85274)
2025-08-21,17:47:34 | INFO | Train Epoch: 2 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89664 (0.85289) Loss: 0.89664 (0.85289)
2025-08-21,17:48:44 | INFO | Train Epoch: 2 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.90053 (0.85305) Loss: 0.90053 (0.85305)
2025-08-21,17:49:54 | INFO | Train Epoch: 2 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70884 (0.85257) Loss: 0.70884 (0.85257)
2025-08-21,17:51:04 | INFO | Train Epoch: 2 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76885 (0.85229) Loss: 0.76885 (0.85229)
2025-08-21,17:52:14 | INFO | Train Epoch: 2 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81921 (0.85218) Loss: 0.81921 (0.85218)
2025-08-21,17:53:24 | INFO | Train Epoch: 2 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71485 (0.85172) Loss: 0.71485 (0.85172)
2025-08-21,17:54:34 | INFO | Train Epoch: 2 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85438 (0.85173) Loss: 0.85438 (0.85173)
2025-08-21,17:55:44 | INFO | Train Epoch: 2 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74449 (0.85138) Loss: 0.74449 (0.85138)
2025-08-21,17:56:54 | INFO | Train Epoch: 2 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71307 (0.85093) Loss: 0.71307 (0.85093)
2025-08-21,17:58:04 | INFO | Train Epoch: 2 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74510 (0.85058) Loss: 0.74510 (0.85058)
2025-08-21,17:59:14 | INFO | Train Epoch: 2 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80099 (0.85042) Loss: 0.80099 (0.85042)
2025-08-21,18:00:24 | INFO | Train Epoch: 2 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75904 (0.85012) Loss: 0.75904 (0.85012)
2025-08-21,18:01:34 | INFO | Train Epoch: 2 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85334 (0.85013) Loss: 0.85334 (0.85013)
2025-08-21,18:02:44 | INFO | Train Epoch: 2 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79406 (0.84995) Loss: 0.79406 (0.84995)
2025-08-21,18:03:54 | INFO | Train Epoch: 2 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66844 (0.84937) Loss: 0.66844 (0.84937)
2025-08-21,18:05:04 | INFO | Train Epoch: 2 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78661 (0.84917) Loss: 0.78661 (0.84917)
2025-08-21,18:06:14 | INFO | Train Epoch: 2 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74388 (0.84883) Loss: 0.74388 (0.84883)
2025-08-21,18:07:24 | INFO | Train Epoch: 2 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84044 (0.84880) Loss: 0.84044 (0.84880)
2025-08-21,18:08:34 | INFO | Train Epoch: 2 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72849 (0.84842) Loss: 0.72849 (0.84842)
2025-08-21,18:09:44 | INFO | Train Epoch: 2 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80446 (0.84828) Loss: 0.80446 (0.84828)
2025-08-21,18:10:54 | INFO | Train Epoch: 2 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78597 (0.84809) Loss: 0.78597 (0.84809)
2025-08-21,18:12:04 | INFO | Train Epoch: 2 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74379 (0.84776) Loss: 0.74379 (0.84776)
2025-08-21,18:13:14 | INFO | Train Epoch: 2 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74678 (0.84744) Loss: 0.74678 (0.84744)
2025-08-21,18:14:24 | INFO | Train Epoch: 2 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74175 (0.84711) Loss: 0.74175 (0.84711)
2025-08-21,18:15:34 | INFO | Train Epoch: 2 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64155 (0.84647) Loss: 0.64155 (0.84647)
2025-08-21,18:16:44 | INFO | Train Epoch: 2 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86404 (0.84653) Loss: 0.86404 (0.84653)
2025-08-21,18:17:54 | INFO | Train Epoch: 2 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84623 (0.84653) Loss: 0.84623 (0.84653)
2025-08-21,18:19:04 | INFO | Train Epoch: 2 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73096 (0.84617) Loss: 0.73096 (0.84617)
2025-08-21,18:20:14 | INFO | Train Epoch: 2 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75016 (0.84587) Loss: 0.75016 (0.84587)
2025-08-21,18:21:24 | INFO | Train Epoch: 2 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79054 (0.84570) Loss: 0.79054 (0.84570)
2025-08-21,18:22:34 | INFO | Train Epoch: 2 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69765 (0.84525) Loss: 0.69765 (0.84525)
2025-08-21,18:23:44 | INFO | Train Epoch: 2 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78485 (0.84507) Loss: 0.78485 (0.84507)
2025-08-21,18:24:54 | INFO | Train Epoch: 2 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.87675 (0.84516) Loss: 0.87675 (0.84516)
2025-08-21,18:26:04 | INFO | Train Epoch: 2 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73231 (0.84482) Loss: 0.73231 (0.84482)
2025-08-21,18:27:14 | INFO | Train Epoch: 2 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78435 (0.84464) Loss: 0.78435 (0.84464)
2025-08-21,18:28:24 | INFO | Train Epoch: 2 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81342 (0.84454) Loss: 0.81342 (0.84454)
2025-08-21,18:29:33 | INFO | Train Epoch: 2 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78793 (0.84437) Loss: 0.78793 (0.84437)
2025-08-21,18:30:43 | INFO | Train Epoch: 2 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93973 (0.84466) Loss: 0.93973 (0.84466)
2025-08-21,18:31:53 | INFO | Train Epoch: 2 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.86922 (0.84473) Loss: 0.86922 (0.84473)
2025-08-21,18:33:03 | INFO | Train Epoch: 2 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74876 (0.84445) Loss: 0.74876 (0.84445)
2025-08-21,18:34:13 | INFO | Train Epoch: 2 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89827 (0.84461) Loss: 0.89827 (0.84461)
2025-08-21,18:35:23 | INFO | Train Epoch: 2 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82146 (0.84454) Loss: 0.82146 (0.84454)
2025-08-21,18:36:33 | INFO | Train Epoch: 2 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82154 (0.84447) Loss: 0.82154 (0.84447)
2025-08-21,18:37:43 | INFO | Train Epoch: 2 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71369 (0.84409) Loss: 0.71369 (0.84409)
2025-08-21,18:38:53 | INFO | Train Epoch: 2 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83368 (0.84406) Loss: 0.83368 (0.84406)
2025-08-21,18:40:03 | INFO | Train Epoch: 2 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77796 (0.84386) Loss: 0.77796 (0.84386)
2025-08-21,18:41:13 | INFO | Train Epoch: 2 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70399 (0.84345) Loss: 0.70399 (0.84345)
2025-08-21,18:42:23 | INFO | Train Epoch: 2 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78554 (0.84329) Loss: 0.78554 (0.84329)
2025-08-21,18:43:33 | INFO | Train Epoch: 2 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69311 (0.84285) Loss: 0.69311 (0.84285)
2025-08-21,18:44:43 | INFO | Train Epoch: 2 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65826 (0.84232) Loss: 0.65826 (0.84232)
2025-08-21,18:45:53 | INFO | Train Epoch: 2 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74347 (0.84203) Loss: 0.74347 (0.84203)
2025-08-21,18:47:03 | INFO | Train Epoch: 2 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77551 (0.84184) Loss: 0.77551 (0.84184)
2025-08-21,18:48:13 | INFO | Train Epoch: 2 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84850 (0.84186) Loss: 0.84850 (0.84186)
2025-08-21,18:49:23 | INFO | Train Epoch: 2 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59289 (0.84115) Loss: 0.59289 (0.84115)
2025-08-21,18:50:32 | INFO | Train Epoch: 2 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68629 (0.84071) Loss: 0.68629 (0.84071)
2025-08-21,18:51:42 | INFO | Train Epoch: 2 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79798 (0.84059) Loss: 0.79798 (0.84059)
2025-08-21,18:52:52 | INFO | Train Epoch: 2 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72337 (0.84025) Loss: 0.72337 (0.84025)
2025-08-21,18:54:02 | INFO | Train Epoch: 2 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70048 (0.83986) Loss: 0.70048 (0.83986)
2025-08-21,18:55:12 | INFO | Train Epoch: 2 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65929 (0.83935) Loss: 0.65929 (0.83935)
2025-08-21,18:56:22 | INFO | Train Epoch: 2 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65605 (0.83884) Loss: 0.65605 (0.83884)
2025-08-21,18:57:32 | INFO | Train Epoch: 2 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85176 (0.83887) Loss: 0.85176 (0.83887)
2025-08-21,18:58:42 | INFO | Train Epoch: 2 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71069 (0.83851) Loss: 0.71069 (0.83851)
2025-08-21,18:59:52 | INFO | Train Epoch: 2 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74690 (0.83826) Loss: 0.74690 (0.83826)
2025-08-21,19:01:02 | INFO | Train Epoch: 2 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76514 (0.83806) Loss: 0.76514 (0.83806)
2025-08-21,19:02:12 | INFO | Train Epoch: 2 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69851 (0.83767) Loss: 0.69851 (0.83767)
2025-08-21,19:03:22 | INFO | Train Epoch: 2 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.89183 (0.83782) Loss: 0.89183 (0.83782)
2025-08-21,19:04:32 | INFO | Train Epoch: 2 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79754 (0.83771) Loss: 0.79754 (0.83771)
2025-08-21,19:05:42 | INFO | Train Epoch: 2 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70797 (0.83735) Loss: 0.70797 (0.83735)
2025-08-21,19:06:52 | INFO | Train Epoch: 2 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79779 (0.83724) Loss: 0.79779 (0.83724)
2025-08-21,19:08:03 | INFO | Train Epoch: 2 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80502 (0.83716) Loss: 0.80502 (0.83716)
2025-08-21,19:09:13 | INFO | Train Epoch: 2 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79605 (0.83704) Loss: 0.79605 (0.83704)
2025-08-21,19:10:23 | INFO | Train Epoch: 2 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69244 (0.83665) Loss: 0.69244 (0.83665)
2025-08-21,19:11:33 | INFO | Train Epoch: 2 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68936 (0.83625) Loss: 0.68936 (0.83625)
2025-08-21,19:12:43 | INFO | Train Epoch: 2 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79042 (0.83613) Loss: 0.79042 (0.83613)
2025-08-21,19:13:53 | INFO | Train Epoch: 2 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80683 (0.83605) Loss: 0.80683 (0.83605)
2025-08-21,19:15:03 | INFO | Train Epoch: 2 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.85301 (0.83609) Loss: 0.85301 (0.83609)
2025-08-21,19:16:12 | INFO | Train Epoch: 2 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67301 (0.83566) Loss: 0.67301 (0.83566)
2025-08-21,19:17:22 | INFO | Train Epoch: 2 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74335 (0.83541) Loss: 0.74335 (0.83541)
2025-08-21,19:18:32 | INFO | Train Epoch: 2 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71605 (0.83509) Loss: 0.71605 (0.83509)
2025-08-21,19:19:42 | INFO | Train Epoch: 2 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66227 (0.83463) Loss: 0.66227 (0.83463)
2025-08-21,19:20:52 | INFO | Train Epoch: 2 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79081 (0.83452) Loss: 0.79081 (0.83452)
2025-08-21,19:22:02 | INFO | Train Epoch: 2 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.84885 (0.83455) Loss: 0.84885 (0.83455)
2025-08-21,19:23:12 | INFO | Train Epoch: 2 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76457 (0.83437) Loss: 0.76457 (0.83437)
2025-08-21,19:24:22 | INFO | Train Epoch: 2 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78193 (0.83423) Loss: 0.78193 (0.83423)
2025-08-21,19:25:32 | INFO | Train Epoch: 2 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88633 (0.83437) Loss: 0.88633 (0.83437)
2025-08-21,19:26:42 | INFO | Train Epoch: 2 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70134 (0.83402) Loss: 0.70134 (0.83402)
2025-08-21,19:27:52 | INFO | Train Epoch: 2 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80176 (0.83393) Loss: 0.80176 (0.83393)
2025-08-21,19:29:02 | INFO | Train Epoch: 2 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75924 (0.83374) Loss: 0.75924 (0.83374)
2025-08-21,19:30:12 | INFO | Train Epoch: 2 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70822 (0.83341) Loss: 0.70822 (0.83341)
2025-08-21,19:31:22 | INFO | Train Epoch: 2 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75198 (0.83320) Loss: 0.75198 (0.83320)
2025-08-21,19:32:32 | INFO | Train Epoch: 2 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80006 (0.83312) Loss: 0.80006 (0.83312)
2025-08-21,19:33:42 | INFO | Train Epoch: 2 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67230 (0.83270) Loss: 0.67230 (0.83270)
2025-08-21,19:34:52 | INFO | Train Epoch: 2 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67109 (0.83229) Loss: 0.67109 (0.83229)
2025-08-21,19:36:02 | INFO | Train Epoch: 2 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76638 (0.83212) Loss: 0.76638 (0.83212)
2025-08-21,19:37:12 | INFO | Train Epoch: 2 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82324 (0.83210) Loss: 0.82324 (0.83210)
2025-08-21,19:38:22 | INFO | Train Epoch: 2 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72090 (0.83181) Loss: 0.72090 (0.83181)
2025-08-21,19:39:32 | INFO | Train Epoch: 2 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70686 (0.83149) Loss: 0.70686 (0.83149)
2025-08-21,19:40:43 | INFO | Train Epoch: 2 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67263 (0.83109) Loss: 0.67263 (0.83109)
2025-08-21,19:41:52 | INFO | Train Epoch: 2 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.82383 (0.83107) Loss: 0.82383 (0.83107)
2025-08-21,19:43:02 | INFO | Train Epoch: 2 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75059 (0.83087) Loss: 0.75059 (0.83087)
2025-08-21,19:44:12 | INFO | Train Epoch: 2 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69434 (0.83053) Loss: 0.69434 (0.83053)
2025-08-21,19:45:22 | INFO | Train Epoch: 2 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67922 (0.83015) Loss: 0.67922 (0.83015)
2025-08-21,19:46:32 | INFO | Train Epoch: 2 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73808 (0.82991) Loss: 0.73808 (0.82991)
2025-08-21,19:47:42 | INFO | Train Epoch: 2 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75450 (0.82973) Loss: 0.75450 (0.82973)
2025-08-21,19:48:52 | INFO | Train Epoch: 2 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62367 (0.82921) Loss: 0.62367 (0.82921)
2025-08-21,19:50:02 | INFO | Train Epoch: 2 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81655 (0.82918) Loss: 0.81655 (0.82918)
2025-08-21,19:51:12 | INFO | Train Epoch: 2 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59749 (0.82861) Loss: 0.59749 (0.82861)
2025-08-21,19:52:22 | INFO | Train Epoch: 2 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71767 (0.82833) Loss: 0.71767 (0.82833)
2025-08-21,19:53:32 | INFO | Train Epoch: 2 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78915 (0.82823) Loss: 0.78915 (0.82823)
2025-08-21,19:54:42 | INFO | Train Epoch: 2 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80494 (0.82818) Loss: 0.80494 (0.82818)
2025-08-21,19:55:52 | INFO | Train Epoch: 2 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73333 (0.82794) Loss: 0.73333 (0.82794)
2025-08-21,19:57:02 | INFO | Train Epoch: 2 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79408 (0.82786) Loss: 0.79408 (0.82786)
2025-08-21,19:58:12 | INFO | Train Epoch: 2 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67389 (0.82748) Loss: 0.67389 (0.82748)
2025-08-21,19:59:22 | INFO | Train Epoch: 2 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72469 (0.82723) Loss: 0.72469 (0.82723)
2025-08-21,20:00:32 | INFO | Train Epoch: 2 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77690 (0.82711) Loss: 0.77690 (0.82711)
2025-08-21,20:01:42 | INFO | Train Epoch: 2 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78825 (0.82702) Loss: 0.78825 (0.82702)
2025-08-21,20:02:52 | INFO | Train Epoch: 2 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73921 (0.82680) Loss: 0.73921 (0.82680)
2025-08-21,20:04:02 | INFO | Train Epoch: 2 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79616 (0.82673) Loss: 0.79616 (0.82673)
2025-08-21,20:05:12 | INFO | Train Epoch: 2 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63448 (0.82627) Loss: 0.63448 (0.82627)
2025-08-21,20:06:22 | INFO | Train Epoch: 2 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57049 (0.82565) Loss: 0.57049 (0.82565)
2025-08-21,20:07:32 | INFO | Train Epoch: 2 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72033 (0.82540) Loss: 0.72033 (0.82540)
2025-08-21,20:08:42 | INFO | Train Epoch: 2 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79338 (0.82532) Loss: 0.79338 (0.82532)
2025-08-21,20:09:52 | INFO | Train Epoch: 2 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78590 (0.82523) Loss: 0.78590 (0.82523)
2025-08-21,20:11:02 | INFO | Train Epoch: 2 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66717 (0.82485) Loss: 0.66717 (0.82485)
2025-08-21,20:12:12 | INFO | Train Epoch: 2 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71422 (0.82459) Loss: 0.71422 (0.82459)
2025-08-21,20:13:22 | INFO | Train Epoch: 2 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71992 (0.82434) Loss: 0.71992 (0.82434)
2025-08-21,20:14:32 | INFO | Train Epoch: 2 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75078 (0.82417) Loss: 0.75078 (0.82417)
2025-08-21,20:15:42 | INFO | Train Epoch: 2 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67157 (0.82381) Loss: 0.67157 (0.82381)
2025-08-21,20:16:52 | INFO | Train Epoch: 2 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78038 (0.82371) Loss: 0.78038 (0.82371)
2025-08-21,20:18:02 | INFO | Train Epoch: 2 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77868 (0.82360) Loss: 0.77868 (0.82360)
2025-08-21,20:19:12 | INFO | Train Epoch: 2 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75997 (0.82345) Loss: 0.75997 (0.82345)
2025-08-21,20:20:22 | INFO | Train Epoch: 2 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73114 (0.82324) Loss: 0.73114 (0.82324)
2025-08-21,20:21:32 | INFO | Train Epoch: 2 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66116 (0.82286) Loss: 0.66116 (0.82286)
2025-08-21,20:22:42 | INFO | Train Epoch: 2 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76812 (0.82273) Loss: 0.76812 (0.82273)
2025-08-21,20:23:52 | INFO | Train Epoch: 2 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71866 (0.82249) Loss: 0.71866 (0.82249)
2025-08-21,20:25:02 | INFO | Train Epoch: 2 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.80995 (0.82246) Loss: 0.80995 (0.82246)
2025-08-21,20:26:12 | INFO | Train Epoch: 2 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68120 (0.82213) Loss: 0.68120 (0.82213)
2025-08-21,20:27:22 | INFO | Train Epoch: 2 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83161 (0.82216) Loss: 0.83161 (0.82216)
2025-08-21,20:28:32 | INFO | Train Epoch: 2 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69478 (0.82186) Loss: 0.69478 (0.82186)
2025-08-21,20:29:42 | INFO | Train Epoch: 2 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83210 (0.82189) Loss: 0.83210 (0.82189)
2025-08-21,20:30:52 | INFO | Train Epoch: 2 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81915 (0.82188) Loss: 0.81915 (0.82188)
2025-08-21,20:32:02 | INFO | Train Epoch: 2 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72389 (0.82166) Loss: 0.72389 (0.82166)
2025-08-21,20:33:12 | INFO | Train Epoch: 2 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81738 (0.82165) Loss: 0.81738 (0.82165)
2025-08-21,20:34:22 | INFO | Train Epoch: 2 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.88395 (0.82179) Loss: 0.88395 (0.82179)
2025-08-21,20:35:32 | INFO | Train Epoch: 2 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64805 (0.82139) Loss: 0.64805 (0.82139)
2025-08-21,20:36:42 | INFO | Train Epoch: 2 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73028 (0.82119) Loss: 0.73028 (0.82119)
2025-08-21,20:37:52 | INFO | Train Epoch: 2 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61156 (0.82072) Loss: 0.61156 (0.82072)
2025-08-21,20:39:02 | INFO | Train Epoch: 2 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74116 (0.82054) Loss: 0.74116 (0.82054)
2025-08-21,20:40:12 | INFO | Train Epoch: 2 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74414 (0.82036) Loss: 0.74414 (0.82036)
2025-08-21,20:41:22 | INFO | Train Epoch: 2 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72399 (0.82015) Loss: 0.72399 (0.82015)
2025-08-21,20:42:32 | INFO | Train Epoch: 2 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74356 (0.81998) Loss: 0.74356 (0.81998)
2025-08-21,20:43:42 | INFO | Train Epoch: 2 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.81051 (0.81996) Loss: 0.81051 (0.81996)
2025-08-21,20:44:52 | INFO | Train Epoch: 2 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76458 (0.81983) Loss: 0.76458 (0.81983)
2025-08-21,20:46:02 | INFO | Train Epoch: 2 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76463 (0.81971) Loss: 0.76463 (0.81971)
2025-08-21,20:47:12 | INFO | Train Epoch: 2 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75188 (0.81956) Loss: 0.75188 (0.81956)
2025-08-21,20:48:22 | INFO | Train Epoch: 2 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70263 (0.81930) Loss: 0.70263 (0.81930)
2025-08-21,20:49:32 | INFO | Train Epoch: 2 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79154 (0.81924) Loss: 0.79154 (0.81924)
2025-08-21,20:50:42 | INFO | Train Epoch: 2 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69526 (0.81897) Loss: 0.69526 (0.81897)
2025-08-21,20:51:52 | INFO | Train Epoch: 2 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75539 (0.81883) Loss: 0.75539 (0.81883)
2025-08-21,20:53:02 | INFO | Train Epoch: 2 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63625 (0.81843) Loss: 0.63625 (0.81843)
2025-08-21,20:54:12 | INFO | Train Epoch: 2 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61770 (0.81799) Loss: 0.61770 (0.81799)
2025-08-21,20:55:22 | INFO | Train Epoch: 2 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59038 (0.81749) Loss: 0.59038 (0.81749)
2025-08-21,20:56:32 | INFO | Train Epoch: 2 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75599 (0.81736) Loss: 0.75599 (0.81736)
2025-08-21,20:57:42 | INFO | Train Epoch: 2 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.83843 (0.81740) Loss: 0.83843 (0.81740)
2025-08-21,20:58:52 | INFO | Train Epoch: 2 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73920 (0.81723) Loss: 0.73920 (0.81723)
2025-08-21,21:00:02 | INFO | Train Epoch: 2 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72143 (0.81702) Loss: 0.72143 (0.81702)
2025-08-21,21:01:12 | INFO | Train Epoch: 2 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64620 (0.81666) Loss: 0.64620 (0.81666)
2025-08-21,21:02:22 | INFO | Train Epoch: 2 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71841 (0.81644) Loss: 0.71841 (0.81644)
2025-08-21,21:03:32 | INFO | Train Epoch: 2 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69822 (0.81619) Loss: 0.69822 (0.81619)
2025-08-21,21:04:42 | INFO | Train Epoch: 2 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63300 (0.81580) Loss: 0.63300 (0.81580)
2025-08-21,21:05:52 | INFO | Train Epoch: 2 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71552 (0.81558) Loss: 0.71552 (0.81558)
2025-08-21,21:07:02 | INFO | Train Epoch: 2 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73345 (0.81541) Loss: 0.73345 (0.81541)
2025-08-21,21:08:12 | INFO | Train Epoch: 2 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79752 (0.81537) Loss: 0.79752 (0.81537)
2025-08-21,21:09:22 | INFO | Train Epoch: 2 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71454 (0.81515) Loss: 0.71454 (0.81515)
2025-08-21,21:10:32 | INFO | Train Epoch: 2 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71140 (0.81493) Loss: 0.71140 (0.81493)
2025-08-21,21:11:42 | INFO | Train Epoch: 2 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64400 (0.81457) Loss: 0.64400 (0.81457)
2025-08-21,21:12:52 | INFO | Train Epoch: 2 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59671 (0.81411) Loss: 0.59671 (0.81411)
2025-08-21,21:14:02 | INFO | Train Epoch: 2 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71571 (0.81390) Loss: 0.71571 (0.81390)
2025-08-21,21:15:12 | INFO | Train Epoch: 2 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66075 (0.81358) Loss: 0.66075 (0.81358)
2025-08-21,21:16:22 | INFO | Train Epoch: 2 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69204 (0.81333) Loss: 0.69204 (0.81333)
2025-08-21,21:17:32 | INFO | Train Epoch: 2 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69091 (0.81307) Loss: 0.69091 (0.81307)
2025-08-21,21:18:42 | INFO | Train Epoch: 2 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75101 (0.81294) Loss: 0.75101 (0.81294)
2025-08-21,21:19:52 | INFO | Train Epoch: 2 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67813 (0.81266) Loss: 0.67813 (0.81266)
2025-08-21,21:21:02 | INFO | Train Epoch: 2 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73441 (0.81249) Loss: 0.73441 (0.81249)
2025-08-21,21:22:12 | INFO | Train Epoch: 2 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71704 (0.81230) Loss: 0.71704 (0.81230)
2025-08-21,21:23:22 | INFO | Train Epoch: 2 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58868 (0.81183) Loss: 0.58868 (0.81183)
2025-08-21,21:24:32 | INFO | Train Epoch: 2 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76195 (0.81173) Loss: 0.76195 (0.81173)
2025-08-21,21:25:42 | INFO | Train Epoch: 2 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67317 (0.81144) Loss: 0.67317 (0.81144)
2025-08-21,21:26:52 | INFO | Train Epoch: 2 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58455 (0.81097) Loss: 0.58455 (0.81097)
2025-08-21,21:28:02 | INFO | Train Epoch: 2 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70695 (0.81076) Loss: 0.70695 (0.81076)
2025-08-21,21:29:12 | INFO | Train Epoch: 2 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72669 (0.81059) Loss: 0.72669 (0.81059)
2025-08-21,21:30:21 | INFO | Train Epoch: 2 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75688 (0.81048) Loss: 0.75688 (0.81048)
2025-08-21,21:31:31 | INFO | Train Epoch: 2 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72613 (0.81031) Loss: 0.72613 (0.81031)
2025-08-21,21:32:41 | INFO | Train Epoch: 2 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73330 (0.81015) Loss: 0.73330 (0.81015)
2025-08-21,21:33:51 | INFO | Train Epoch: 2 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72461 (0.80997) Loss: 0.72461 (0.80997)
2025-08-21,21:35:01 | INFO | Train Epoch: 2 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70136 (0.80975) Loss: 0.70136 (0.80975)
2025-08-21,21:36:11 | INFO | Train Epoch: 2 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69978 (0.80953) Loss: 0.69978 (0.80953)
2025-08-21,21:37:21 | INFO | Train Epoch: 2 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62322 (0.80915) Loss: 0.62322 (0.80915)
2025-08-21,21:38:31 | INFO | Train Epoch: 2 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65626 (0.80884) Loss: 0.65626 (0.80884)
2025-08-21,21:39:41 | INFO | Train Epoch: 2 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72397 (0.80867) Loss: 0.72397 (0.80867)
2025-08-21,21:40:51 | INFO | Train Epoch: 2 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70519 (0.80847) Loss: 0.70519 (0.80847)
2025-08-21,21:42:01 | INFO | Train Epoch: 2 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69132 (0.80823) Loss: 0.69132 (0.80823)
2025-08-21,21:43:11 | INFO | Train Epoch: 2 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69451 (0.80800) Loss: 0.69451 (0.80800)
2025-08-21,21:44:21 | INFO | Train Epoch: 2 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61610 (0.80762) Loss: 0.61610 (0.80762)
2025-08-21,21:45:31 | INFO | Train Epoch: 2 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63330 (0.80727) Loss: 0.63330 (0.80727)
2025-08-21,21:46:41 | INFO | Train Epoch: 2 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69339 (0.80704) Loss: 0.69339 (0.80704)
2025-08-21,21:47:51 | INFO | Train Epoch: 2 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.93387 (0.80730) Loss: 0.93387 (0.80730)
2025-08-21,21:49:01 | INFO | Train Epoch: 2 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67032 (0.80702) Loss: 0.67032 (0.80702)
2025-08-21,21:50:11 | INFO | Train Epoch: 2 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78143 (0.80697) Loss: 0.78143 (0.80697)
2025-08-21,21:51:21 | INFO | Train Epoch: 2 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70663 (0.80677) Loss: 0.70663 (0.80677)
2025-08-21,21:52:31 | INFO | Train Epoch: 2 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.77355 (0.80671) Loss: 0.77355 (0.80671)
2025-08-21,21:53:41 | INFO | Train Epoch: 2 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70900 (0.80652) Loss: 0.70900 (0.80652)
2025-08-21,21:54:51 | INFO | Train Epoch: 2 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70597 (0.80632) Loss: 0.70597 (0.80632)
2025-08-21,21:56:01 | INFO | Train Epoch: 2 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58639 (0.80589) Loss: 0.58639 (0.80589)
2025-08-21,21:57:11 | INFO | Train Epoch: 2 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79022 (0.80586) Loss: 0.79022 (0.80586)
2025-08-21,21:58:21 | INFO | Train Epoch: 2 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71483 (0.80568) Loss: 0.71483 (0.80568)
2025-08-21,21:59:31 | INFO | Train Epoch: 2 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73436 (0.80554) Loss: 0.73436 (0.80554)
2025-08-21,22:00:41 | INFO | Train Epoch: 2 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68000 (0.80530) Loss: 0.68000 (0.80530)
2025-08-21,22:01:51 | INFO | Train Epoch: 2 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64987 (0.80499) Loss: 0.64987 (0.80499)
2025-08-21,22:02:57 | INFO | Train Epoch: 2 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73224 (0.80485) Loss: 0.73224 (0.80485)
2025-08-21,22:02:57 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-21,22:02:57 | INFO | [Epoch 2] Average Step Time: 0.704s | Average GPU Memory: 43.4 GB
2025-08-21,22:02:57 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-21,22:02:57 | INFO | Starting zero-shot imagenet.
2025-08-21,22:02:57 | INFO | Building zero-shot classifier
2025-08-21,22:03:07 | INFO | Using classifier
2025-08-21,22:03:52 | INFO | Finished zero-shot imagenet.
2025-08-21,22:03:52 | INFO | Eval Epoch: 3 imagenet-zeroshot-val-top1: 0.2200	imagenet-zeroshot-val-top5: 0.4498
2025-08-21,22:03:53 | INFO | Start epoch 3
2025-08-21,22:03:55 | INFO | Train Epoch: 3 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67970 (0.67970) Loss: 0.67970 (0.67970)
2025-08-21,22:05:05 | INFO | Train Epoch: 3 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61110 (0.64540) Loss: 0.61110 (0.64540)
2025-08-21,22:06:15 | INFO | Train Epoch: 3 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67698 (0.65593) Loss: 0.67698 (0.65593)
2025-08-21,22:07:25 | INFO | Train Epoch: 3 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65641 (0.65605) Loss: 0.65641 (0.65605)
2025-08-21,22:08:35 | INFO | Train Epoch: 3 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60650 (0.64614) Loss: 0.60650 (0.64614)
2025-08-21,22:09:45 | INFO | Train Epoch: 3 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68180 (0.65208) Loss: 0.68180 (0.65208)
2025-08-21,22:10:54 | INFO | Train Epoch: 3 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76431 (0.66811) Loss: 0.76431 (0.66811)
2025-08-21,22:12:04 | INFO | Train Epoch: 3 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61865 (0.66193) Loss: 0.61865 (0.66193)
2025-08-21,22:13:14 | INFO | Train Epoch: 3 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64711 (0.66028) Loss: 0.64711 (0.66028)
2025-08-21,22:14:24 | INFO | Train Epoch: 3 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74236 (0.66849) Loss: 0.74236 (0.66849)
2025-08-21,22:15:33 | INFO | Train Epoch: 3 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76348 (0.67713) Loss: 0.76348 (0.67713)
2025-08-21,22:16:43 | INFO | Train Epoch: 3 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70138 (0.67915) Loss: 0.70138 (0.67915)
2025-08-21,22:17:53 | INFO | Train Epoch: 3 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76011 (0.68538) Loss: 0.76011 (0.68538)
2025-08-21,22:19:03 | INFO | Train Epoch: 3 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64443 (0.68245) Loss: 0.64443 (0.68245)
2025-08-21,22:20:13 | INFO | Train Epoch: 3 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58993 (0.67628) Loss: 0.58993 (0.67628)
2025-08-21,22:21:23 | INFO | Train Epoch: 3 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65501 (0.67495) Loss: 0.65501 (0.67495)
2025-08-21,22:22:32 | INFO | Train Epoch: 3 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58432 (0.66962) Loss: 0.58432 (0.66962)
2025-08-21,22:23:42 | INFO | Train Epoch: 3 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71270 (0.67201) Loss: 0.71270 (0.67201)
2025-08-21,22:24:52 | INFO | Train Epoch: 3 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75077 (0.67616) Loss: 0.75077 (0.67616)
2025-08-21,22:26:02 | INFO | Train Epoch: 3 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58571 (0.67164) Loss: 0.58571 (0.67164)
2025-08-21,22:27:12 | INFO | Train Epoch: 3 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73865 (0.67483) Loss: 0.73865 (0.67483)
2025-08-21,22:28:22 | INFO | Train Epoch: 3 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73839 (0.67772) Loss: 0.73839 (0.67772)
2025-08-21,22:29:32 | INFO | Train Epoch: 3 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59746 (0.67423) Loss: 0.59746 (0.67423)
2025-08-21,22:30:42 | INFO | Train Epoch: 3 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54721 (0.66894) Loss: 0.54721 (0.66894)
2025-08-21,22:31:51 | INFO | Train Epoch: 3 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78523 (0.67359) Loss: 0.78523 (0.67359)
2025-08-21,22:33:01 | INFO | Train Epoch: 3 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57377 (0.66975) Loss: 0.57377 (0.66975)
2025-08-21,22:34:11 | INFO | Train Epoch: 3 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54747 (0.66522) Loss: 0.54747 (0.66522)
2025-08-21,22:35:21 | INFO | Train Epoch: 3 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63106 (0.66400) Loss: 0.63106 (0.66400)
2025-08-21,22:36:31 | INFO | Train Epoch: 3 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55366 (0.66019) Loss: 0.55366 (0.66019)
2025-08-21,22:37:41 | INFO | Train Epoch: 3 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74337 (0.66297) Loss: 0.74337 (0.66297)
2025-08-21,22:38:51 | INFO | Train Epoch: 3 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74560 (0.66563) Loss: 0.74560 (0.66563)
2025-08-21,22:40:00 | INFO | Train Epoch: 3 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67092 (0.66580) Loss: 0.67092 (0.66580)
2025-08-21,22:41:10 | INFO | Train Epoch: 3 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50166 (0.66082) Loss: 0.50166 (0.66082)
2025-08-21,22:42:20 | INFO | Train Epoch: 3 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63539 (0.66008) Loss: 0.63539 (0.66008)
2025-08-21,22:43:30 | INFO | Train Epoch: 3 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61761 (0.65886) Loss: 0.61761 (0.65886)
2025-08-21,22:44:40 | INFO | Train Epoch: 3 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62417 (0.65790) Loss: 0.62417 (0.65790)
2025-08-21,22:45:50 | INFO | Train Epoch: 3 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65407 (0.65780) Loss: 0.65407 (0.65780)
2025-08-21,22:46:59 | INFO | Train Epoch: 3 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72952 (0.65968) Loss: 0.72952 (0.65968)
2025-08-21,22:48:09 | INFO | Train Epoch: 3 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63534 (0.65906) Loss: 0.63534 (0.65906)
2025-08-21,22:49:19 | INFO | Train Epoch: 3 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61787 (0.65803) Loss: 0.61787 (0.65803)
2025-08-21,22:50:29 | INFO | Train Epoch: 3 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56875 (0.65585) Loss: 0.56875 (0.65585)
2025-08-21,22:51:38 | INFO | Train Epoch: 3 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59044 (0.65429) Loss: 0.59044 (0.65429)
2025-08-21,22:52:48 | INFO | Train Epoch: 3 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68554 (0.65502) Loss: 0.68554 (0.65502)
2025-08-21,22:53:58 | INFO | Train Epoch: 3 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62430 (0.65432) Loss: 0.62430 (0.65432)
2025-08-21,22:55:08 | INFO | Train Epoch: 3 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59480 (0.65300) Loss: 0.59480 (0.65300)
2025-08-21,22:56:18 | INFO | Train Epoch: 3 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75653 (0.65525) Loss: 0.75653 (0.65525)
2025-08-21,22:57:28 | INFO | Train Epoch: 3 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70315 (0.65627) Loss: 0.70315 (0.65627)
2025-08-21,22:58:38 | INFO | Train Epoch: 3 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58068 (0.65469) Loss: 0.58068 (0.65469)
2025-08-21,22:59:48 | INFO | Train Epoch: 3 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59529 (0.65348) Loss: 0.59529 (0.65348)
2025-08-21,23:00:58 | INFO | Train Epoch: 3 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59296 (0.65227) Loss: 0.59296 (0.65227)
2025-08-21,23:02:08 | INFO | Train Epoch: 3 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60135 (0.65127) Loss: 0.60135 (0.65127)
2025-08-21,23:03:17 | INFO | Train Epoch: 3 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.79719 (0.65408) Loss: 0.79719 (0.65408)
2025-08-21,23:04:27 | INFO | Train Epoch: 3 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73494 (0.65561) Loss: 0.73494 (0.65561)
2025-08-21,23:05:37 | INFO | Train Epoch: 3 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67211 (0.65591) Loss: 0.67211 (0.65591)
2025-08-21,23:06:47 | INFO | Train Epoch: 3 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66476 (0.65607) Loss: 0.66476 (0.65607)
2025-08-21,23:07:57 | INFO | Train Epoch: 3 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65756 (0.65610) Loss: 0.65756 (0.65610)
2025-08-21,23:09:07 | INFO | Train Epoch: 3 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58627 (0.65487) Loss: 0.58627 (0.65487)
2025-08-21,23:10:17 | INFO | Train Epoch: 3 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69752 (0.65561) Loss: 0.69752 (0.65561)
2025-08-21,23:11:27 | INFO | Train Epoch: 3 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60470 (0.65475) Loss: 0.60470 (0.65475)
2025-08-21,23:12:37 | INFO | Train Epoch: 3 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70092 (0.65552) Loss: 0.70092 (0.65552)
2025-08-21,23:13:47 | INFO | Train Epoch: 3 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71766 (0.65653) Loss: 0.71766 (0.65653)
2025-08-21,23:14:57 | INFO | Train Epoch: 3 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54704 (0.65477) Loss: 0.54704 (0.65477)
2025-08-21,23:16:07 | INFO | Train Epoch: 3 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60980 (0.65405) Loss: 0.60980 (0.65405)
2025-08-21,23:17:17 | INFO | Train Epoch: 3 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66994 (0.65430) Loss: 0.66994 (0.65430)
2025-08-21,23:18:27 | INFO | Train Epoch: 3 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58395 (0.65322) Loss: 0.58395 (0.65322)
2025-08-21,23:19:37 | INFO | Train Epoch: 3 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59033 (0.65227) Loss: 0.59033 (0.65227)
2025-08-21,23:20:47 | INFO | Train Epoch: 3 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.75172 (0.65375) Loss: 0.75172 (0.65375)
2025-08-21,23:21:57 | INFO | Train Epoch: 3 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66863 (0.65397) Loss: 0.66863 (0.65397)
2025-08-21,23:23:07 | INFO | Train Epoch: 3 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70209 (0.65467) Loss: 0.70209 (0.65467)
2025-08-21,23:24:17 | INFO | Train Epoch: 3 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53795 (0.65300) Loss: 0.53795 (0.65300)
2025-08-21,23:25:27 | INFO | Train Epoch: 3 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52917 (0.65126) Loss: 0.52917 (0.65126)
2025-08-21,23:26:37 | INFO | Train Epoch: 3 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59807 (0.65052) Loss: 0.59807 (0.65052)
2025-08-21,23:27:47 | INFO | Train Epoch: 3 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50927 (0.64858) Loss: 0.50927 (0.64858)
2025-08-21,23:28:57 | INFO | Train Epoch: 3 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59450 (0.64785) Loss: 0.59450 (0.64785)
2025-08-21,23:30:07 | INFO | Train Epoch: 3 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72270 (0.64885) Loss: 0.72270 (0.64885)
2025-08-21,23:31:17 | INFO | Train Epoch: 3 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64667 (0.64882) Loss: 0.64667 (0.64882)
2025-08-21,23:32:27 | INFO | Train Epoch: 3 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63709 (0.64867) Loss: 0.63709 (0.64867)
2025-08-21,23:33:37 | INFO | Train Epoch: 3 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73833 (0.64982) Loss: 0.73833 (0.64982)
2025-08-21,23:34:47 | INFO | Train Epoch: 3 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70961 (0.65058) Loss: 0.70961 (0.65058)
2025-08-21,23:35:57 | INFO | Train Epoch: 3 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61299 (0.65011) Loss: 0.61299 (0.65011)
2025-08-21,23:37:07 | INFO | Train Epoch: 3 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65204 (0.65013) Loss: 0.65204 (0.65013)
2025-08-21,23:38:17 | INFO | Train Epoch: 3 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59492 (0.64946) Loss: 0.59492 (0.64946)
2025-08-21,23:39:27 | INFO | Train Epoch: 3 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65045 (0.64947) Loss: 0.65045 (0.64947)
2025-08-21,23:40:37 | INFO | Train Epoch: 3 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64378 (0.64940) Loss: 0.64378 (0.64940)
2025-08-21,23:41:47 | INFO | Train Epoch: 3 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68368 (0.64980) Loss: 0.68368 (0.64980)
2025-08-21,23:42:57 | INFO | Train Epoch: 3 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57233 (0.64890) Loss: 0.57233 (0.64890)
2025-08-21,23:44:07 | INFO | Train Epoch: 3 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72459 (0.64977) Loss: 0.72459 (0.64977)
2025-08-21,23:45:17 | INFO | Train Epoch: 3 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71635 (0.65053) Loss: 0.71635 (0.65053)
2025-08-21,23:46:27 | INFO | Train Epoch: 3 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64839 (0.65051) Loss: 0.64839 (0.65051)
2025-08-21,23:47:37 | INFO | Train Epoch: 3 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61146 (0.65007) Loss: 0.61146 (0.65007)
2025-08-21,23:48:47 | INFO | Train Epoch: 3 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71728 (0.65081) Loss: 0.71728 (0.65081)
2025-08-21,23:49:57 | INFO | Train Epoch: 3 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.72274 (0.65159) Loss: 0.72274 (0.65159)
2025-08-21,23:51:07 | INFO | Train Epoch: 3 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62390 (0.65129) Loss: 0.62390 (0.65129)
2025-08-21,23:52:17 | INFO | Train Epoch: 3 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61280 (0.65088) Loss: 0.61280 (0.65088)
2025-08-21,23:53:27 | INFO | Train Epoch: 3 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58061 (0.65015) Loss: 0.58061 (0.65015)
2025-08-21,23:54:37 | INFO | Train Epoch: 3 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70288 (0.65069) Loss: 0.70288 (0.65069)
2025-08-21,23:55:47 | INFO | Train Epoch: 3 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59656 (0.65014) Loss: 0.59656 (0.65014)
2025-08-21,23:56:57 | INFO | Train Epoch: 3 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63736 (0.65001) Loss: 0.63736 (0.65001)
2025-08-21,23:58:07 | INFO | Train Epoch: 3 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66509 (0.65016) Loss: 0.66509 (0.65016)
2025-08-21,23:59:17 | INFO | Train Epoch: 3 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61691 (0.64983) Loss: 0.61691 (0.64983)
2025-08-22,00:00:27 | INFO | Train Epoch: 3 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61141 (0.64945) Loss: 0.61141 (0.64945)
2025-08-22,00:01:37 | INFO | Train Epoch: 3 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.78719 (0.65080) Loss: 0.78719 (0.65080)
2025-08-22,00:02:47 | INFO | Train Epoch: 3 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65991 (0.65088) Loss: 0.65991 (0.65088)
2025-08-22,00:03:57 | INFO | Train Epoch: 3 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60387 (0.65043) Loss: 0.60387 (0.65043)
2025-08-22,00:05:07 | INFO | Train Epoch: 3 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64725 (0.65040) Loss: 0.64725 (0.65040)
2025-08-22,00:06:17 | INFO | Train Epoch: 3 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61554 (0.65007) Loss: 0.61554 (0.65007)
2025-08-22,00:07:27 | INFO | Train Epoch: 3 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65846 (0.65015) Loss: 0.65846 (0.65015)
2025-08-22,00:08:37 | INFO | Train Epoch: 3 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49926 (0.64875) Loss: 0.49926 (0.64875)
2025-08-22,00:09:47 | INFO | Train Epoch: 3 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53114 (0.64768) Loss: 0.53114 (0.64768)
2025-08-22,00:10:57 | INFO | Train Epoch: 3 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73575 (0.64848) Loss: 0.73575 (0.64848)
2025-08-22,00:12:07 | INFO | Train Epoch: 3 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76149 (0.64949) Loss: 0.76149 (0.64949)
2025-08-22,00:13:17 | INFO | Train Epoch: 3 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58776 (0.64894) Loss: 0.58776 (0.64894)
2025-08-22,00:14:27 | INFO | Train Epoch: 3 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66489 (0.64908) Loss: 0.66489 (0.64908)
2025-08-22,00:15:37 | INFO | Train Epoch: 3 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48453 (0.64764) Loss: 0.48453 (0.64764)
2025-08-22,00:16:47 | INFO | Train Epoch: 3 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54505 (0.64675) Loss: 0.54505 (0.64675)
2025-08-22,00:17:57 | INFO | Train Epoch: 3 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60789 (0.64641) Loss: 0.60789 (0.64641)
2025-08-22,00:19:07 | INFO | Train Epoch: 3 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64133 (0.64637) Loss: 0.64133 (0.64637)
2025-08-22,00:20:17 | INFO | Train Epoch: 3 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61507 (0.64610) Loss: 0.61507 (0.64610)
2025-08-22,00:21:27 | INFO | Train Epoch: 3 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57880 (0.64554) Loss: 0.57880 (0.64554)
2025-08-22,00:22:37 | INFO | Train Epoch: 3 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59009 (0.64508) Loss: 0.59009 (0.64508)
2025-08-22,00:23:48 | INFO | Train Epoch: 3 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54717 (0.64427) Loss: 0.54717 (0.64427)
2025-08-22,00:24:58 | INFO | Train Epoch: 3 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57687 (0.64372) Loss: 0.57687 (0.64372)
2025-08-22,00:26:08 | INFO | Train Epoch: 3 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55941 (0.64303) Loss: 0.55941 (0.64303)
2025-08-22,00:27:18 | INFO | Train Epoch: 3 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61735 (0.64282) Loss: 0.61735 (0.64282)
2025-08-22,00:28:28 | INFO | Train Epoch: 3 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57787 (0.64230) Loss: 0.57787 (0.64230)
2025-08-22,00:29:38 | INFO | Train Epoch: 3 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59743 (0.64195) Loss: 0.59743 (0.64195)
2025-08-22,00:30:48 | INFO | Train Epoch: 3 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67879 (0.64224) Loss: 0.67879 (0.64224)
2025-08-22,00:31:58 | INFO | Train Epoch: 3 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56758 (0.64165) Loss: 0.56758 (0.64165)
2025-08-22,00:33:08 | INFO | Train Epoch: 3 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55039 (0.64095) Loss: 0.55039 (0.64095)
2025-08-22,00:34:18 | INFO | Train Epoch: 3 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66841 (0.64116) Loss: 0.66841 (0.64116)
2025-08-22,00:35:28 | INFO | Train Epoch: 3 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54384 (0.64042) Loss: 0.54384 (0.64042)
2025-08-22,00:36:39 | INFO | Train Epoch: 3 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59358 (0.64006) Loss: 0.59358 (0.64006)
2025-08-22,00:37:49 | INFO | Train Epoch: 3 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65269 (0.64016) Loss: 0.65269 (0.64016)
2025-08-22,00:38:59 | INFO | Train Epoch: 3 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67284 (0.64040) Loss: 0.67284 (0.64040)
2025-08-22,00:40:09 | INFO | Train Epoch: 3 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64246 (0.64041) Loss: 0.64246 (0.64041)
2025-08-22,00:41:19 | INFO | Train Epoch: 3 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59001 (0.64004) Loss: 0.59001 (0.64004)
2025-08-22,00:42:29 | INFO | Train Epoch: 3 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62672 (0.63995) Loss: 0.62672 (0.63995)
2025-08-22,00:43:39 | INFO | Train Epoch: 3 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61242 (0.63975) Loss: 0.61242 (0.63975)
2025-08-22,00:44:49 | INFO | Train Epoch: 3 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57354 (0.63927) Loss: 0.57354 (0.63927)
2025-08-22,00:45:59 | INFO | Train Epoch: 3 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65972 (0.63942) Loss: 0.65972 (0.63942)
2025-08-22,00:47:10 | INFO | Train Epoch: 3 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64610 (0.63946) Loss: 0.64610 (0.63946)
2025-08-22,00:48:20 | INFO | Train Epoch: 3 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71723 (0.64001) Loss: 0.71723 (0.64001)
2025-08-22,00:49:30 | INFO | Train Epoch: 3 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63976 (0.64001) Loss: 0.63976 (0.64001)
2025-08-22,00:50:40 | INFO | Train Epoch: 3 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63231 (0.63996) Loss: 0.63231 (0.63996)
2025-08-22,00:51:50 | INFO | Train Epoch: 3 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60983 (0.63975) Loss: 0.60983 (0.63975)
2025-08-22,00:53:00 | INFO | Train Epoch: 3 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55578 (0.63917) Loss: 0.55578 (0.63917)
2025-08-22,00:54:10 | INFO | Train Epoch: 3 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69933 (0.63958) Loss: 0.69933 (0.63958)
2025-08-22,00:55:20 | INFO | Train Epoch: 3 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62811 (0.63951) Loss: 0.62811 (0.63951)
2025-08-22,00:56:30 | INFO | Train Epoch: 3 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63216 (0.63946) Loss: 0.63216 (0.63946)
2025-08-22,00:57:40 | INFO | Train Epoch: 3 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68908 (0.63979) Loss: 0.68908 (0.63979)
2025-08-22,00:58:50 | INFO | Train Epoch: 3 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64458 (0.63982) Loss: 0.64458 (0.63982)
2025-08-22,01:00:00 | INFO | Train Epoch: 3 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57741 (0.63941) Loss: 0.57741 (0.63941)
2025-08-22,01:01:10 | INFO | Train Epoch: 3 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50886 (0.63855) Loss: 0.50886 (0.63855)
2025-08-22,01:02:20 | INFO | Train Epoch: 3 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59602 (0.63828) Loss: 0.59602 (0.63828)
2025-08-22,01:03:30 | INFO | Train Epoch: 3 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71255 (0.63876) Loss: 0.71255 (0.63876)
2025-08-22,01:04:40 | INFO | Train Epoch: 3 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63701 (0.63875) Loss: 0.63701 (0.63875)
2025-08-22,01:05:50 | INFO | Train Epoch: 3 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60882 (0.63856) Loss: 0.60882 (0.63856)
2025-08-22,01:07:00 | INFO | Train Epoch: 3 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57911 (0.63818) Loss: 0.57911 (0.63818)
2025-08-22,01:08:10 | INFO | Train Epoch: 3 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65383 (0.63828) Loss: 0.65383 (0.63828)
2025-08-22,01:09:21 | INFO | Train Epoch: 3 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64849 (0.63834) Loss: 0.64849 (0.63834)
2025-08-22,01:10:31 | INFO | Train Epoch: 3 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65824 (0.63847) Loss: 0.65824 (0.63847)
2025-08-22,01:11:41 | INFO | Train Epoch: 3 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65318 (0.63856) Loss: 0.65318 (0.63856)
2025-08-22,01:12:51 | INFO | Train Epoch: 3 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58994 (0.63826) Loss: 0.58994 (0.63826)
2025-08-22,01:14:01 | INFO | Train Epoch: 3 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50800 (0.63746) Loss: 0.50800 (0.63746)
2025-08-22,01:15:11 | INFO | Train Epoch: 3 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63327 (0.63744) Loss: 0.63327 (0.63744)
2025-08-22,01:16:21 | INFO | Train Epoch: 3 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57473 (0.63706) Loss: 0.57473 (0.63706)
2025-08-22,01:17:31 | INFO | Train Epoch: 3 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.76869 (0.63785) Loss: 0.76869 (0.63785)
2025-08-22,01:18:41 | INFO | Train Epoch: 3 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53239 (0.63722) Loss: 0.53239 (0.63722)
2025-08-22,01:19:51 | INFO | Train Epoch: 3 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55601 (0.63674) Loss: 0.55601 (0.63674)
2025-08-22,01:21:01 | INFO | Train Epoch: 3 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55613 (0.63627) Loss: 0.55613 (0.63627)
2025-08-22,01:22:11 | INFO | Train Epoch: 3 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60992 (0.63611) Loss: 0.60992 (0.63611)
2025-08-22,01:23:21 | INFO | Train Epoch: 3 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60907 (0.63596) Loss: 0.60907 (0.63596)
2025-08-22,01:24:31 | INFO | Train Epoch: 3 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60592 (0.63578) Loss: 0.60592 (0.63578)
2025-08-22,01:25:41 | INFO | Train Epoch: 3 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55073 (0.63529) Loss: 0.55073 (0.63529)
2025-08-22,01:26:51 | INFO | Train Epoch: 3 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59608 (0.63507) Loss: 0.59608 (0.63507)
2025-08-22,01:28:02 | INFO | Train Epoch: 3 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53634 (0.63451) Loss: 0.53634 (0.63451)
2025-08-22,01:29:12 | INFO | Train Epoch: 3 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61103 (0.63437) Loss: 0.61103 (0.63437)
2025-08-22,01:30:21 | INFO | Train Epoch: 3 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61273 (0.63425) Loss: 0.61273 (0.63425)
2025-08-22,01:31:32 | INFO | Train Epoch: 3 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63159 (0.63424) Loss: 0.63159 (0.63424)
2025-08-22,01:32:42 | INFO | Train Epoch: 3 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51375 (0.63357) Loss: 0.51375 (0.63357)
2025-08-22,01:33:52 | INFO | Train Epoch: 3 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55762 (0.63315) Loss: 0.55762 (0.63315)
2025-08-22,01:35:02 | INFO | Train Epoch: 3 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63784 (0.63318) Loss: 0.63784 (0.63318)
2025-08-22,01:36:12 | INFO | Train Epoch: 3 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56669 (0.63281) Loss: 0.56669 (0.63281)
2025-08-22,01:37:22 | INFO | Train Epoch: 3 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53948 (0.63230) Loss: 0.53948 (0.63230)
2025-08-22,01:38:32 | INFO | Train Epoch: 3 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67139 (0.63252) Loss: 0.67139 (0.63252)
2025-08-22,01:39:42 | INFO | Train Epoch: 3 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55845 (0.63212) Loss: 0.55845 (0.63212)
2025-08-22,01:40:52 | INFO | Train Epoch: 3 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57234 (0.63180) Loss: 0.57234 (0.63180)
2025-08-22,01:42:02 | INFO | Train Epoch: 3 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63300 (0.63180) Loss: 0.63300 (0.63180)
2025-08-22,01:43:12 | INFO | Train Epoch: 3 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65157 (0.63191) Loss: 0.65157 (0.63191)
2025-08-22,01:44:22 | INFO | Train Epoch: 3 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58246 (0.63165) Loss: 0.58246 (0.63165)
2025-08-22,01:45:32 | INFO | Train Epoch: 3 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54831 (0.63121) Loss: 0.54831 (0.63121)
2025-08-22,01:46:42 | INFO | Train Epoch: 3 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63619 (0.63124) Loss: 0.63619 (0.63124)
2025-08-22,01:47:52 | INFO | Train Epoch: 3 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69571 (0.63157) Loss: 0.69571 (0.63157)
2025-08-22,01:49:02 | INFO | Train Epoch: 3 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52592 (0.63103) Loss: 0.52592 (0.63103)
2025-08-22,01:50:12 | INFO | Train Epoch: 3 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63676 (0.63106) Loss: 0.63676 (0.63106)
2025-08-22,01:51:22 | INFO | Train Epoch: 3 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61554 (0.63098) Loss: 0.61554 (0.63098)
2025-08-22,01:52:32 | INFO | Train Epoch: 3 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63187 (0.63098) Loss: 0.63187 (0.63098)
2025-08-22,01:53:42 | INFO | Train Epoch: 3 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66821 (0.63117) Loss: 0.66821 (0.63117)
2025-08-22,01:54:52 | INFO | Train Epoch: 3 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68637 (0.63145) Loss: 0.68637 (0.63145)
2025-08-22,01:56:02 | INFO | Train Epoch: 3 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62170 (0.63140) Loss: 0.62170 (0.63140)
2025-08-22,01:57:12 | INFO | Train Epoch: 3 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67910 (0.63164) Loss: 0.67910 (0.63164)
2025-08-22,01:58:22 | INFO | Train Epoch: 3 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66071 (0.63178) Loss: 0.66071 (0.63178)
2025-08-22,01:59:32 | INFO | Train Epoch: 3 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48383 (0.63105) Loss: 0.48383 (0.63105)
2025-08-22,02:00:42 | INFO | Train Epoch: 3 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63497 (0.63107) Loss: 0.63497 (0.63107)
2025-08-22,02:01:52 | INFO | Train Epoch: 3 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68652 (0.63134) Loss: 0.68652 (0.63134)
2025-08-22,02:03:02 | INFO | Train Epoch: 3 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60720 (0.63122) Loss: 0.60720 (0.63122)
2025-08-22,02:04:12 | INFO | Train Epoch: 3 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56021 (0.63088) Loss: 0.56021 (0.63088)
2025-08-22,02:05:22 | INFO | Train Epoch: 3 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69873 (0.63121) Loss: 0.69873 (0.63121)
2025-08-22,02:06:33 | INFO | Train Epoch: 3 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56296 (0.63088) Loss: 0.56296 (0.63088)
2025-08-22,02:07:43 | INFO | Train Epoch: 3 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54088 (0.63045) Loss: 0.54088 (0.63045)
2025-08-22,02:08:53 | INFO | Train Epoch: 3 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49855 (0.62983) Loss: 0.49855 (0.62983)
2025-08-22,02:10:02 | INFO | Train Epoch: 3 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57989 (0.62959) Loss: 0.57989 (0.62959)
2025-08-22,02:11:13 | INFO | Train Epoch: 3 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65438 (0.62971) Loss: 0.65438 (0.62971)
2025-08-22,02:12:23 | INFO | Train Epoch: 3 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54313 (0.62930) Loss: 0.54313 (0.62930)
2025-08-22,02:13:33 | INFO | Train Epoch: 3 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60192 (0.62918) Loss: 0.60192 (0.62918)
2025-08-22,02:14:43 | INFO | Train Epoch: 3 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64709 (0.62926) Loss: 0.64709 (0.62926)
2025-08-22,02:15:53 | INFO | Train Epoch: 3 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53503 (0.62882) Loss: 0.53503 (0.62882)
2025-08-22,02:17:03 | INFO | Train Epoch: 3 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54315 (0.62843) Loss: 0.54315 (0.62843)
2025-08-22,02:18:13 | INFO | Train Epoch: 3 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71897 (0.62885) Loss: 0.71897 (0.62885)
2025-08-22,02:19:23 | INFO | Train Epoch: 3 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62292 (0.62882) Loss: 0.62292 (0.62882)
2025-08-22,02:20:33 | INFO | Train Epoch: 3 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59806 (0.62868) Loss: 0.59806 (0.62868)
2025-08-22,02:21:43 | INFO | Train Epoch: 3 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59324 (0.62852) Loss: 0.59324 (0.62852)
2025-08-22,02:22:53 | INFO | Train Epoch: 3 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.71580 (0.62891) Loss: 0.71580 (0.62891)
2025-08-22,02:24:03 | INFO | Train Epoch: 3 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54568 (0.62854) Loss: 0.54568 (0.62854)
2025-08-22,02:25:13 | INFO | Train Epoch: 3 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51607 (0.62804) Loss: 0.51607 (0.62804)
2025-08-22,02:26:24 | INFO | Train Epoch: 3 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55128 (0.62770) Loss: 0.55128 (0.62770)
2025-08-22,02:27:34 | INFO | Train Epoch: 3 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57224 (0.62746) Loss: 0.57224 (0.62746)
2025-08-22,02:28:44 | INFO | Train Epoch: 3 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62857 (0.62746) Loss: 0.62857 (0.62746)
2025-08-22,02:29:54 | INFO | Train Epoch: 3 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53965 (0.62708) Loss: 0.53965 (0.62708)
2025-08-22,02:31:04 | INFO | Train Epoch: 3 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58190 (0.62688) Loss: 0.58190 (0.62688)
2025-08-22,02:32:14 | INFO | Train Epoch: 3 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52820 (0.62645) Loss: 0.52820 (0.62645)
2025-08-22,02:33:24 | INFO | Train Epoch: 3 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57712 (0.62624) Loss: 0.57712 (0.62624)
2025-08-22,02:34:34 | INFO | Train Epoch: 3 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67805 (0.62646) Loss: 0.67805 (0.62646)
2025-08-22,02:35:44 | INFO | Train Epoch: 3 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58683 (0.62629) Loss: 0.58683 (0.62629)
2025-08-22,02:36:54 | INFO | Train Epoch: 3 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57766 (0.62609) Loss: 0.57766 (0.62609)
2025-08-22,02:38:04 | INFO | Train Epoch: 3 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53388 (0.62570) Loss: 0.53388 (0.62570)
2025-08-22,02:39:14 | INFO | Train Epoch: 3 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58200 (0.62551) Loss: 0.58200 (0.62551)
2025-08-22,02:40:24 | INFO | Train Epoch: 3 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62863 (0.62552) Loss: 0.62863 (0.62552)
2025-08-22,02:41:34 | INFO | Train Epoch: 3 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70353 (0.62585) Loss: 0.70353 (0.62585)
2025-08-22,02:42:44 | INFO | Train Epoch: 3 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56561 (0.62560) Loss: 0.56561 (0.62560)
2025-08-22,02:43:54 | INFO | Train Epoch: 3 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65128 (0.62571) Loss: 0.65128 (0.62571)
2025-08-22,02:45:04 | INFO | Train Epoch: 3 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50622 (0.62521) Loss: 0.50622 (0.62521)
2025-08-22,02:46:15 | INFO | Train Epoch: 3 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61663 (0.62518) Loss: 0.61663 (0.62518)
2025-08-22,02:47:25 | INFO | Train Epoch: 3 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66202 (0.62533) Loss: 0.66202 (0.62533)
2025-08-22,02:48:35 | INFO | Train Epoch: 3 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59852 (0.62522) Loss: 0.59852 (0.62522)
2025-08-22,02:49:45 | INFO | Train Epoch: 3 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63733 (0.62527) Loss: 0.63733 (0.62527)
2025-08-22,02:50:55 | INFO | Train Epoch: 3 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59945 (0.62516) Loss: 0.59945 (0.62516)
2025-08-22,02:52:05 | INFO | Train Epoch: 3 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55422 (0.62488) Loss: 0.55422 (0.62488)
2025-08-22,02:53:15 | INFO | Train Epoch: 3 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50935 (0.62441) Loss: 0.50935 (0.62441)
2025-08-22,02:54:25 | INFO | Train Epoch: 3 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.74299 (0.62489) Loss: 0.74299 (0.62489)
2025-08-22,02:55:35 | INFO | Train Epoch: 3 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73897 (0.62534) Loss: 0.73897 (0.62534)
2025-08-22,02:56:45 | INFO | Train Epoch: 3 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54993 (0.62504) Loss: 0.54993 (0.62504)
2025-08-22,02:57:55 | INFO | Train Epoch: 3 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66057 (0.62518) Loss: 0.66057 (0.62518)
2025-08-22,02:59:06 | INFO | Train Epoch: 3 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52052 (0.62477) Loss: 0.52052 (0.62477)
2025-08-22,03:00:16 | INFO | Train Epoch: 3 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65584 (0.62489) Loss: 0.65584 (0.62489)
2025-08-22,03:01:26 | INFO | Train Epoch: 3 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64154 (0.62496) Loss: 0.64154 (0.62496)
2025-08-22,03:02:36 | INFO | Train Epoch: 3 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61661 (0.62493) Loss: 0.61661 (0.62493)
2025-08-22,03:03:46 | INFO | Train Epoch: 3 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51329 (0.62449) Loss: 0.51329 (0.62449)
2025-08-22,03:04:56 | INFO | Train Epoch: 3 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61710 (0.62446) Loss: 0.61710 (0.62446)
2025-08-22,03:06:06 | INFO | Train Epoch: 3 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51955 (0.62406) Loss: 0.51955 (0.62406)
2025-08-22,03:07:17 | INFO | Train Epoch: 3 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56595 (0.62384) Loss: 0.56595 (0.62384)
2025-08-22,03:08:27 | INFO | Train Epoch: 3 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60731 (0.62378) Loss: 0.60731 (0.62378)
2025-08-22,03:09:37 | INFO | Train Epoch: 3 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52391 (0.62340) Loss: 0.52391 (0.62340)
2025-08-22,03:10:47 | INFO | Train Epoch: 3 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62506 (0.62340) Loss: 0.62506 (0.62340)
2025-08-22,03:11:57 | INFO | Train Epoch: 3 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60020 (0.62331) Loss: 0.60020 (0.62331)
2025-08-22,03:13:07 | INFO | Train Epoch: 3 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66410 (0.62347) Loss: 0.66410 (0.62347)
2025-08-22,03:14:17 | INFO | Train Epoch: 3 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61752 (0.62345) Loss: 0.61752 (0.62345)
2025-08-22,03:15:27 | INFO | Train Epoch: 3 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59663 (0.62335) Loss: 0.59663 (0.62335)
2025-08-22,03:16:37 | INFO | Train Epoch: 3 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52308 (0.62297) Loss: 0.52308 (0.62297)
2025-08-22,03:17:47 | INFO | Train Epoch: 3 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51449 (0.62257) Loss: 0.51449 (0.62257)
2025-08-22,03:18:57 | INFO | Train Epoch: 3 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53071 (0.62223) Loss: 0.53071 (0.62223)
2025-08-22,03:20:08 | INFO | Train Epoch: 3 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65135 (0.62234) Loss: 0.65135 (0.62234)
2025-08-22,03:21:18 | INFO | Train Epoch: 3 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59650 (0.62224) Loss: 0.59650 (0.62224)
2025-08-22,03:22:28 | INFO | Train Epoch: 3 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64130 (0.62231) Loss: 0.64130 (0.62231)
2025-08-22,03:23:38 | INFO | Train Epoch: 3 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49337 (0.62184) Loss: 0.49337 (0.62184)
2025-08-22,03:24:48 | INFO | Train Epoch: 3 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.73110 (0.62224) Loss: 0.73110 (0.62224)
2025-08-22,03:25:58 | INFO | Train Epoch: 3 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54001 (0.62194) Loss: 0.54001 (0.62194)
2025-08-22,03:27:08 | INFO | Train Epoch: 3 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58639 (0.62182) Loss: 0.58639 (0.62182)
2025-08-22,03:28:18 | INFO | Train Epoch: 3 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56707 (0.62162) Loss: 0.56707 (0.62162)
2025-08-22,03:29:28 | INFO | Train Epoch: 3 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60553 (0.62156) Loss: 0.60553 (0.62156)
2025-08-22,03:30:38 | INFO | Train Epoch: 3 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58178 (0.62142) Loss: 0.58178 (0.62142)
2025-08-22,03:31:48 | INFO | Train Epoch: 3 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65688 (0.62155) Loss: 0.65688 (0.62155)
2025-08-22,03:32:58 | INFO | Train Epoch: 3 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60673 (0.62149) Loss: 0.60673 (0.62149)
2025-08-22,03:34:09 | INFO | Train Epoch: 3 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54393 (0.62122) Loss: 0.54393 (0.62122)
2025-08-22,03:35:19 | INFO | Train Epoch: 3 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56862 (0.62104) Loss: 0.56862 (0.62104)
2025-08-22,03:36:29 | INFO | Train Epoch: 3 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50640 (0.62064) Loss: 0.50640 (0.62064)
2025-08-22,03:37:39 | INFO | Train Epoch: 3 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57628 (0.62048) Loss: 0.57628 (0.62048)
2025-08-22,03:38:49 | INFO | Train Epoch: 3 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49434 (0.62004) Loss: 0.49434 (0.62004)
2025-08-22,03:39:59 | INFO | Train Epoch: 3 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57346 (0.61988) Loss: 0.57346 (0.61988)
2025-08-22,03:41:09 | INFO | Train Epoch: 3 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48418 (0.61941) Loss: 0.48418 (0.61941)
2025-08-22,03:42:19 | INFO | Train Epoch: 3 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55064 (0.61918) Loss: 0.55064 (0.61918)
2025-08-22,03:43:29 | INFO | Train Epoch: 3 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61615 (0.61917) Loss: 0.61615 (0.61917)
2025-08-22,03:44:39 | INFO | Train Epoch: 3 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58771 (0.61906) Loss: 0.58771 (0.61906)
2025-08-22,03:45:49 | INFO | Train Epoch: 3 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63302 (0.61911) Loss: 0.63302 (0.61911)
2025-08-22,03:46:59 | INFO | Train Epoch: 3 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59734 (0.61903) Loss: 0.59734 (0.61903)
2025-08-22,03:48:09 | INFO | Train Epoch: 3 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56441 (0.61885) Loss: 0.56441 (0.61885)
2025-08-22,03:49:19 | INFO | Train Epoch: 3 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61111 (0.61882) Loss: 0.61111 (0.61882)
2025-08-22,03:50:29 | INFO | Train Epoch: 3 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55264 (0.61860) Loss: 0.55264 (0.61860)
2025-08-22,03:51:39 | INFO | Train Epoch: 3 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60095 (0.61854) Loss: 0.60095 (0.61854)
2025-08-22,03:52:49 | INFO | Train Epoch: 3 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59307 (0.61846) Loss: 0.59307 (0.61846)
2025-08-22,03:53:59 | INFO | Train Epoch: 3 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55725 (0.61825) Loss: 0.55725 (0.61825)
2025-08-22,03:55:09 | INFO | Train Epoch: 3 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60496 (0.61821) Loss: 0.60496 (0.61821)
2025-08-22,03:56:19 | INFO | Train Epoch: 3 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55211 (0.61799) Loss: 0.55211 (0.61799)
2025-08-22,03:57:29 | INFO | Train Epoch: 3 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56126 (0.61780) Loss: 0.56126 (0.61780)
2025-08-22,03:58:39 | INFO | Train Epoch: 3 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54801 (0.61758) Loss: 0.54801 (0.61758)
2025-08-22,03:59:49 | INFO | Train Epoch: 3 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58028 (0.61745) Loss: 0.58028 (0.61745)
2025-08-22,04:00:59 | INFO | Train Epoch: 3 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62105 (0.61747) Loss: 0.62105 (0.61747)
2025-08-22,04:02:09 | INFO | Train Epoch: 3 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54801 (0.61724) Loss: 0.54801 (0.61724)
2025-08-22,04:03:19 | INFO | Train Epoch: 3 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51571 (0.61691) Loss: 0.51571 (0.61691)
2025-08-22,04:04:29 | INFO | Train Epoch: 3 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59951 (0.61686) Loss: 0.59951 (0.61686)
2025-08-22,04:05:39 | INFO | Train Epoch: 3 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51722 (0.61654) Loss: 0.51722 (0.61654)
2025-08-22,04:06:49 | INFO | Train Epoch: 3 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53676 (0.61628) Loss: 0.53676 (0.61628)
2025-08-22,04:07:59 | INFO | Train Epoch: 3 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49192 (0.61588) Loss: 0.49192 (0.61588)
2025-08-22,04:09:09 | INFO | Train Epoch: 3 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57260 (0.61574) Loss: 0.57260 (0.61574)
2025-08-22,04:10:19 | INFO | Train Epoch: 3 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68846 (0.61598) Loss: 0.68846 (0.61598)
2025-08-22,04:11:29 | INFO | Train Epoch: 3 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54803 (0.61576) Loss: 0.54803 (0.61576)
2025-08-22,04:12:39 | INFO | Train Epoch: 3 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68915 (0.61599) Loss: 0.68915 (0.61599)
2025-08-22,04:13:50 | INFO | Train Epoch: 3 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53152 (0.61573) Loss: 0.53152 (0.61573)
2025-08-22,04:15:00 | INFO | Train Epoch: 3 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50467 (0.61538) Loss: 0.50467 (0.61538)
2025-08-22,04:16:10 | INFO | Train Epoch: 3 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63524 (0.61544) Loss: 0.63524 (0.61544)
2025-08-22,04:17:20 | INFO | Train Epoch: 3 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69324 (0.61568) Loss: 0.69324 (0.61568)
2025-08-22,04:18:30 | INFO | Train Epoch: 3 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61666 (0.61569) Loss: 0.61666 (0.61569)
2025-08-22,04:19:40 | INFO | Train Epoch: 3 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56390 (0.61553) Loss: 0.56390 (0.61553)
2025-08-22,04:20:50 | INFO | Train Epoch: 3 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61167 (0.61551) Loss: 0.61167 (0.61551)
2025-08-22,04:22:00 | INFO | Train Epoch: 3 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47777 (0.61509) Loss: 0.47777 (0.61509)
2025-08-22,04:23:10 | INFO | Train Epoch: 3 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51005 (0.61477) Loss: 0.51005 (0.61477)
2025-08-22,04:24:20 | INFO | Train Epoch: 3 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51748 (0.61447) Loss: 0.51748 (0.61447)
2025-08-22,04:25:30 | INFO | Train Epoch: 3 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59289 (0.61440) Loss: 0.59289 (0.61440)
2025-08-22,04:26:40 | INFO | Train Epoch: 3 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58776 (0.61432) Loss: 0.58776 (0.61432)
2025-08-22,04:27:50 | INFO | Train Epoch: 3 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54814 (0.61412) Loss: 0.54814 (0.61412)
2025-08-22,04:29:00 | INFO | Train Epoch: 3 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46803 (0.61368) Loss: 0.46803 (0.61368)
2025-08-22,04:30:10 | INFO | Train Epoch: 3 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53672 (0.61345) Loss: 0.53672 (0.61345)
2025-08-22,04:31:20 | INFO | Train Epoch: 3 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60973 (0.61344) Loss: 0.60973 (0.61344)
2025-08-22,04:32:30 | INFO | Train Epoch: 3 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.67731 (0.61363) Loss: 0.67731 (0.61363)
2025-08-22,04:33:40 | INFO | Train Epoch: 3 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56869 (0.61350) Loss: 0.56869 (0.61350)
2025-08-22,04:34:51 | INFO | Train Epoch: 3 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55009 (0.61331) Loss: 0.55009 (0.61331)
2025-08-22,04:36:01 | INFO | Train Epoch: 3 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59329 (0.61325) Loss: 0.59329 (0.61325)
2025-08-22,04:37:11 | INFO | Train Epoch: 3 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51281 (0.61295) Loss: 0.51281 (0.61295)
2025-08-22,04:38:21 | INFO | Train Epoch: 3 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59899 (0.61291) Loss: 0.59899 (0.61291)
2025-08-22,04:39:31 | INFO | Train Epoch: 3 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68510 (0.61312) Loss: 0.68510 (0.61312)
2025-08-22,04:40:41 | INFO | Train Epoch: 3 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61010 (0.61311) Loss: 0.61010 (0.61311)
2025-08-22,04:41:51 | INFO | Train Epoch: 3 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57157 (0.61299) Loss: 0.57157 (0.61299)
2025-08-22,04:43:01 | INFO | Train Epoch: 3 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58772 (0.61292) Loss: 0.58772 (0.61292)
2025-08-22,04:44:11 | INFO | Train Epoch: 3 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55049 (0.61274) Loss: 0.55049 (0.61274)
2025-08-22,04:45:21 | INFO | Train Epoch: 3 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58726 (0.61266) Loss: 0.58726 (0.61266)
2025-08-22,04:46:31 | INFO | Train Epoch: 3 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53111 (0.61243) Loss: 0.53111 (0.61243)
2025-08-22,04:47:41 | INFO | Train Epoch: 3 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46889 (0.61201) Loss: 0.46889 (0.61201)
2025-08-22,04:48:51 | INFO | Train Epoch: 3 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61377 (0.61202) Loss: 0.61377 (0.61202)
2025-08-22,04:50:01 | INFO | Train Epoch: 3 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61829 (0.61204) Loss: 0.61829 (0.61204)
2025-08-22,04:51:11 | INFO | Train Epoch: 3 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49537 (0.61170) Loss: 0.49537 (0.61170)
2025-08-22,04:52:21 | INFO | Train Epoch: 3 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60101 (0.61167) Loss: 0.60101 (0.61167)
2025-08-22,04:53:31 | INFO | Train Epoch: 3 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54666 (0.61149) Loss: 0.54666 (0.61149)
2025-08-22,04:54:41 | INFO | Train Epoch: 3 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54607 (0.61130) Loss: 0.54607 (0.61130)
2025-08-22,04:55:51 | INFO | Train Epoch: 3 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51781 (0.61104) Loss: 0.51781 (0.61104)
2025-08-22,04:57:01 | INFO | Train Epoch: 3 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61853 (0.61106) Loss: 0.61853 (0.61106)
2025-08-22,04:58:11 | INFO | Train Epoch: 3 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61065 (0.61106) Loss: 0.61065 (0.61106)
2025-08-22,04:59:21 | INFO | Train Epoch: 3 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55824 (0.61091) Loss: 0.55824 (0.61091)
2025-08-22,05:00:31 | INFO | Train Epoch: 3 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54147 (0.61072) Loss: 0.54147 (0.61072)
2025-08-22,05:01:41 | INFO | Train Epoch: 3 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48868 (0.61038) Loss: 0.48868 (0.61038)
2025-08-22,05:02:51 | INFO | Train Epoch: 3 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64419 (0.61047) Loss: 0.64419 (0.61047)
2025-08-22,05:04:01 | INFO | Train Epoch: 3 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55518 (0.61032) Loss: 0.55518 (0.61032)
2025-08-22,05:05:11 | INFO | Train Epoch: 3 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53968 (0.61012) Loss: 0.53968 (0.61012)
2025-08-22,05:06:21 | INFO | Train Epoch: 3 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45677 (0.60970) Loss: 0.45677 (0.60970)
2025-08-22,05:07:31 | INFO | Train Epoch: 3 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49850 (0.60939) Loss: 0.49850 (0.60939)
2025-08-22,05:08:41 | INFO | Train Epoch: 3 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48448 (0.60905) Loss: 0.48448 (0.60905)
2025-08-22,05:09:51 | INFO | Train Epoch: 3 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58104 (0.60897) Loss: 0.58104 (0.60897)
2025-08-22,05:11:01 | INFO | Train Epoch: 3 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55319 (0.60882) Loss: 0.55319 (0.60882)
2025-08-22,05:12:11 | INFO | Train Epoch: 3 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46484 (0.60843) Loss: 0.46484 (0.60843)
2025-08-22,05:13:22 | INFO | Train Epoch: 3 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53792 (0.60824) Loss: 0.53792 (0.60824)
2025-08-22,05:14:32 | INFO | Train Epoch: 3 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62559 (0.60829) Loss: 0.62559 (0.60829)
2025-08-22,05:15:42 | INFO | Train Epoch: 3 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58745 (0.60823) Loss: 0.58745 (0.60823)
2025-08-22,05:16:52 | INFO | Train Epoch: 3 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64304 (0.60832) Loss: 0.64304 (0.60832)
2025-08-22,05:18:02 | INFO | Train Epoch: 3 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48888 (0.60800) Loss: 0.48888 (0.60800)
2025-08-22,05:19:12 | INFO | Train Epoch: 3 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55030 (0.60785) Loss: 0.55030 (0.60785)
2025-08-22,05:20:22 | INFO | Train Epoch: 3 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58808 (0.60780) Loss: 0.58808 (0.60780)
2025-08-22,05:21:32 | INFO | Train Epoch: 3 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53053 (0.60759) Loss: 0.53053 (0.60759)
2025-08-22,05:22:42 | INFO | Train Epoch: 3 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52689 (0.60738) Loss: 0.52689 (0.60738)
2025-08-22,05:23:52 | INFO | Train Epoch: 3 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59149 (0.60734) Loss: 0.59149 (0.60734)
2025-08-22,05:25:02 | INFO | Train Epoch: 3 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50302 (0.60706) Loss: 0.50302 (0.60706)
2025-08-22,05:26:12 | INFO | Train Epoch: 3 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66611 (0.60722) Loss: 0.66611 (0.60722)
2025-08-22,05:27:22 | INFO | Train Epoch: 3 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63101 (0.60728) Loss: 0.63101 (0.60728)
2025-08-22,05:28:31 | INFO | Train Epoch: 3 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55530 (0.60714) Loss: 0.55530 (0.60714)
2025-08-22,05:29:41 | INFO | Train Epoch: 3 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56569 (0.60703) Loss: 0.56569 (0.60703)
2025-08-22,05:30:51 | INFO | Train Epoch: 3 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55156 (0.60689) Loss: 0.55156 (0.60689)
2025-08-22,05:32:01 | INFO | Train Epoch: 3 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47308 (0.60654) Loss: 0.47308 (0.60654)
2025-08-22,05:33:11 | INFO | Train Epoch: 3 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62519 (0.60659) Loss: 0.62519 (0.60659)
2025-08-22,05:34:21 | INFO | Train Epoch: 3 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56975 (0.60650) Loss: 0.56975 (0.60650)
2025-08-22,05:35:31 | INFO | Train Epoch: 3 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47059 (0.60614) Loss: 0.47059 (0.60614)
2025-08-22,05:36:41 | INFO | Train Epoch: 3 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55834 (0.60602) Loss: 0.55834 (0.60602)
2025-08-22,05:37:51 | INFO | Train Epoch: 3 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49551 (0.60574) Loss: 0.49551 (0.60574)
2025-08-22,05:39:01 | INFO | Train Epoch: 3 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60609 (0.60574) Loss: 0.60609 (0.60574)
2025-08-22,05:40:11 | INFO | Train Epoch: 3 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44958 (0.60534) Loss: 0.44958 (0.60534)
2025-08-22,05:41:21 | INFO | Train Epoch: 3 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63407 (0.60541) Loss: 0.63407 (0.60541)
2025-08-22,05:42:31 | INFO | Train Epoch: 3 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58739 (0.60537) Loss: 0.58739 (0.60537)
2025-08-22,05:43:41 | INFO | Train Epoch: 3 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57007 (0.60528) Loss: 0.57007 (0.60528)
2025-08-22,05:44:51 | INFO | Train Epoch: 3 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61799 (0.60531) Loss: 0.61799 (0.60531)
2025-08-22,05:46:01 | INFO | Train Epoch: 3 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53865 (0.60514) Loss: 0.53865 (0.60514)
2025-08-22,05:47:11 | INFO | Train Epoch: 3 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54224 (0.60499) Loss: 0.54224 (0.60499)
2025-08-22,05:48:21 | INFO | Train Epoch: 3 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55763 (0.60487) Loss: 0.55763 (0.60487)
2025-08-22,05:49:31 | INFO | Train Epoch: 3 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57090 (0.60478) Loss: 0.57090 (0.60478)
2025-08-22,05:50:41 | INFO | Train Epoch: 3 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64253 (0.60488) Loss: 0.64253 (0.60488)
2025-08-22,05:51:51 | INFO | Train Epoch: 3 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58233 (0.60482) Loss: 0.58233 (0.60482)
2025-08-22,05:53:01 | INFO | Train Epoch: 3 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69261 (0.60504) Loss: 0.69261 (0.60504)
2025-08-22,05:54:11 | INFO | Train Epoch: 3 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49861 (0.60477) Loss: 0.49861 (0.60477)
2025-08-22,05:55:21 | INFO | Train Epoch: 3 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61242 (0.60479) Loss: 0.61242 (0.60479)
2025-08-22,05:56:31 | INFO | Train Epoch: 3 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56129 (0.60469) Loss: 0.56129 (0.60469)
2025-08-22,05:57:40 | INFO | Train Epoch: 3 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50982 (0.60445) Loss: 0.50982 (0.60445)
2025-08-22,05:58:50 | INFO | Train Epoch: 3 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49481 (0.60418) Loss: 0.49481 (0.60418)
2025-08-22,06:00:00 | INFO | Train Epoch: 3 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59457 (0.60416) Loss: 0.59457 (0.60416)
2025-08-22,06:01:10 | INFO | Train Epoch: 3 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60097 (0.60415) Loss: 0.60097 (0.60415)
2025-08-22,06:02:20 | INFO | Train Epoch: 3 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62096 (0.60419) Loss: 0.62096 (0.60419)
2025-08-22,06:03:30 | INFO | Train Epoch: 3 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64818 (0.60430) Loss: 0.64818 (0.60430)
2025-08-22,06:04:40 | INFO | Train Epoch: 3 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56827 (0.60421) Loss: 0.56827 (0.60421)
2025-08-22,06:05:50 | INFO | Train Epoch: 3 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51427 (0.60400) Loss: 0.51427 (0.60400)
2025-08-22,06:07:00 | INFO | Train Epoch: 3 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61358 (0.60402) Loss: 0.61358 (0.60402)
2025-08-22,06:08:10 | INFO | Train Epoch: 3 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65192 (0.60413) Loss: 0.65192 (0.60413)
2025-08-22,06:09:20 | INFO | Train Epoch: 3 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58155 (0.60408) Loss: 0.58155 (0.60408)
2025-08-22,06:10:30 | INFO | Train Epoch: 3 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58107 (0.60402) Loss: 0.58107 (0.60402)
2025-08-22,06:11:40 | INFO | Train Epoch: 3 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59767 (0.60401) Loss: 0.59767 (0.60401)
2025-08-22,06:12:50 | INFO | Train Epoch: 3 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61313 (0.60403) Loss: 0.61313 (0.60403)
2025-08-22,06:14:00 | INFO | Train Epoch: 3 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51348 (0.60382) Loss: 0.51348 (0.60382)
2025-08-22,06:15:10 | INFO | Train Epoch: 3 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54446 (0.60368) Loss: 0.54446 (0.60368)
2025-08-22,06:16:20 | INFO | Train Epoch: 3 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49351 (0.60342) Loss: 0.49351 (0.60342)
2025-08-22,06:17:30 | INFO | Train Epoch: 3 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52290 (0.60323) Loss: 0.52290 (0.60323)
2025-08-22,06:18:40 | INFO | Train Epoch: 3 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60533 (0.60323) Loss: 0.60533 (0.60323)
2025-08-22,06:19:50 | INFO | Train Epoch: 3 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55431 (0.60312) Loss: 0.55431 (0.60312)
2025-08-22,06:21:00 | INFO | Train Epoch: 3 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59845 (0.60310) Loss: 0.59845 (0.60310)
2025-08-22,06:22:10 | INFO | Train Epoch: 3 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62786 (0.60316) Loss: 0.62786 (0.60316)
2025-08-22,06:23:20 | INFO | Train Epoch: 3 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51966 (0.60297) Loss: 0.51966 (0.60297)
2025-08-22,06:24:30 | INFO | Train Epoch: 3 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54759 (0.60284) Loss: 0.54759 (0.60284)
2025-08-22,06:25:40 | INFO | Train Epoch: 3 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61934 (0.60288) Loss: 0.61934 (0.60288)
2025-08-22,06:26:49 | INFO | Train Epoch: 3 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62499 (0.60293) Loss: 0.62499 (0.60293)
2025-08-22,06:27:59 | INFO | Train Epoch: 3 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54000 (0.60278) Loss: 0.54000 (0.60278)
2025-08-22,06:29:09 | INFO | Train Epoch: 3 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53202 (0.60262) Loss: 0.53202 (0.60262)
2025-08-22,06:30:19 | INFO | Train Epoch: 3 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53957 (0.60248) Loss: 0.53957 (0.60248)
2025-08-22,06:31:29 | INFO | Train Epoch: 3 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57792 (0.60242) Loss: 0.57792 (0.60242)
2025-08-22,06:32:39 | INFO | Train Epoch: 3 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54770 (0.60229) Loss: 0.54770 (0.60229)
2025-08-22,06:33:49 | INFO | Train Epoch: 3 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59177 (0.60227) Loss: 0.59177 (0.60227)
2025-08-22,06:34:59 | INFO | Train Epoch: 3 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59325 (0.60225) Loss: 0.59325 (0.60225)
2025-08-22,06:36:09 | INFO | Train Epoch: 3 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54090 (0.60211) Loss: 0.54090 (0.60211)
2025-08-22,06:37:19 | INFO | Train Epoch: 3 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55157 (0.60199) Loss: 0.55157 (0.60199)
2025-08-22,06:38:29 | INFO | Train Epoch: 3 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46738 (0.60169) Loss: 0.46738 (0.60169)
2025-08-22,06:39:39 | INFO | Train Epoch: 3 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56267 (0.60160) Loss: 0.56267 (0.60160)
2025-08-22,06:40:49 | INFO | Train Epoch: 3 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58077 (0.60156) Loss: 0.58077 (0.60156)
2025-08-22,06:41:59 | INFO | Train Epoch: 3 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49894 (0.60132) Loss: 0.49894 (0.60132)
2025-08-22,06:43:09 | INFO | Train Epoch: 3 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58982 (0.60130) Loss: 0.58982 (0.60130)
2025-08-22,06:44:19 | INFO | Train Epoch: 3 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49449 (0.60106) Loss: 0.49449 (0.60106)
2025-08-22,06:45:29 | INFO | Train Epoch: 3 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51117 (0.60086) Loss: 0.51117 (0.60086)
2025-08-22,06:46:39 | INFO | Train Epoch: 3 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57735 (0.60081) Loss: 0.57735 (0.60081)
2025-08-22,06:47:49 | INFO | Train Epoch: 3 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63699 (0.60089) Loss: 0.63699 (0.60089)
2025-08-22,06:48:59 | INFO | Train Epoch: 3 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63253 (0.60096) Loss: 0.63253 (0.60096)
2025-08-22,06:50:09 | INFO | Train Epoch: 3 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53521 (0.60081) Loss: 0.53521 (0.60081)
2025-08-22,06:51:18 | INFO | Train Epoch: 3 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63348 (0.60088) Loss: 0.63348 (0.60088)
2025-08-22,06:52:28 | INFO | Train Epoch: 3 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61389 (0.60091) Loss: 0.61389 (0.60091)
2025-08-22,06:53:38 | INFO | Train Epoch: 3 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58013 (0.60087) Loss: 0.58013 (0.60087)
2025-08-22,06:54:48 | INFO | Train Epoch: 3 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61177 (0.60089) Loss: 0.61177 (0.60089)
2025-08-22,06:55:58 | INFO | Train Epoch: 3 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55842 (0.60080) Loss: 0.55842 (0.60080)
2025-08-22,06:57:08 | INFO | Train Epoch: 3 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49020 (0.60056) Loss: 0.49020 (0.60056)
2025-08-22,06:58:18 | INFO | Train Epoch: 3 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55121 (0.60045) Loss: 0.55121 (0.60045)
2025-08-22,06:59:28 | INFO | Train Epoch: 3 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60977 (0.60047) Loss: 0.60977 (0.60047)
2025-08-22,07:00:38 | INFO | Train Epoch: 3 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55915 (0.60038) Loss: 0.55915 (0.60038)
2025-08-22,07:01:48 | INFO | Train Epoch: 3 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49884 (0.60016) Loss: 0.49884 (0.60016)
2025-08-22,07:02:58 | INFO | Train Epoch: 3 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66476 (0.60030) Loss: 0.66476 (0.60030)
2025-08-22,07:04:08 | INFO | Train Epoch: 3 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.68385 (0.60048) Loss: 0.68385 (0.60048)
2025-08-22,07:05:18 | INFO | Train Epoch: 3 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.66026 (0.60061) Loss: 0.66026 (0.60061)
2025-08-22,07:06:28 | INFO | Train Epoch: 3 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55262 (0.60051) Loss: 0.55262 (0.60051)
2025-08-22,07:07:38 | INFO | Train Epoch: 3 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52590 (0.60035) Loss: 0.52590 (0.60035)
2025-08-22,07:08:48 | INFO | Train Epoch: 3 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59786 (0.60034) Loss: 0.59786 (0.60034)
2025-08-22,07:09:58 | INFO | Train Epoch: 3 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45854 (0.60004) Loss: 0.45854 (0.60004)
2025-08-22,07:11:08 | INFO | Train Epoch: 3 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56096 (0.59995) Loss: 0.56096 (0.59995)
2025-08-22,07:12:18 | INFO | Train Epoch: 3 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56060 (0.59987) Loss: 0.56060 (0.59987)
2025-08-22,07:13:28 | INFO | Train Epoch: 3 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50753 (0.59968) Loss: 0.50753 (0.59968)
2025-08-22,07:14:38 | INFO | Train Epoch: 3 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55906 (0.59959) Loss: 0.55906 (0.59959)
2025-08-22,07:15:48 | INFO | Train Epoch: 3 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60976 (0.59961) Loss: 0.60976 (0.59961)
2025-08-22,07:16:58 | INFO | Train Epoch: 3 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54922 (0.59950) Loss: 0.54922 (0.59950)
2025-08-22,07:18:08 | INFO | Train Epoch: 3 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62312 (0.59955) Loss: 0.62312 (0.59955)
2025-08-22,07:19:18 | INFO | Train Epoch: 3 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54294 (0.59944) Loss: 0.54294 (0.59944)
2025-08-22,07:20:27 | INFO | Train Epoch: 3 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48182 (0.59919) Loss: 0.48182 (0.59919)
2025-08-22,07:21:37 | INFO | Train Epoch: 3 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55873 (0.59911) Loss: 0.55873 (0.59911)
2025-08-22,07:22:47 | INFO | Train Epoch: 3 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57209 (0.59905) Loss: 0.57209 (0.59905)
2025-08-22,07:23:57 | INFO | Train Epoch: 3 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62486 (0.59910) Loss: 0.62486 (0.59910)
2025-08-22,07:25:07 | INFO | Train Epoch: 3 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51234 (0.59892) Loss: 0.51234 (0.59892)
2025-08-22,07:26:17 | INFO | Train Epoch: 3 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56057 (0.59884) Loss: 0.56057 (0.59884)
2025-08-22,07:27:27 | INFO | Train Epoch: 3 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49260 (0.59862) Loss: 0.49260 (0.59862)
2025-08-22,07:28:37 | INFO | Train Epoch: 3 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52422 (0.59847) Loss: 0.52422 (0.59847)
2025-08-22,07:29:47 | INFO | Train Epoch: 3 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49760 (0.59826) Loss: 0.49760 (0.59826)
2025-08-22,07:30:57 | INFO | Train Epoch: 3 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45556 (0.59797) Loss: 0.45556 (0.59797)
2025-08-22,07:32:06 | INFO | Train Epoch: 3 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57142 (0.59792) Loss: 0.57142 (0.59792)
2025-08-22,07:33:16 | INFO | Train Epoch: 3 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58571 (0.59789) Loss: 0.58571 (0.59789)
2025-08-22,07:34:26 | INFO | Train Epoch: 3 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.70082 (0.59810) Loss: 0.70082 (0.59810)
2025-08-22,07:35:36 | INFO | Train Epoch: 3 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.62191 (0.59815) Loss: 0.62191 (0.59815)
2025-08-22,07:36:46 | INFO | Train Epoch: 3 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.61339 (0.59818) Loss: 0.61339 (0.59818)
2025-08-22,07:37:56 | INFO | Train Epoch: 3 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47675 (0.59793) Loss: 0.47675 (0.59793)
2025-08-22,07:39:05 | INFO | Train Epoch: 3 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.69576 (0.59813) Loss: 0.69576 (0.59813)
2025-08-22,07:40:15 | INFO | Train Epoch: 3 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54293 (0.59802) Loss: 0.54293 (0.59802)
2025-08-22,07:41:25 | INFO | Train Epoch: 3 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59025 (0.59800) Loss: 0.59025 (0.59800)
2025-08-22,07:42:35 | INFO | Train Epoch: 3 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58317 (0.59797) Loss: 0.58317 (0.59797)
2025-08-22,07:43:45 | INFO | Train Epoch: 3 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55637 (0.59789) Loss: 0.55637 (0.59789)
2025-08-22,07:44:55 | INFO | Train Epoch: 3 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55455 (0.59780) Loss: 0.55455 (0.59780)
2025-08-22,07:46:05 | INFO | Train Epoch: 3 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53171 (0.59767) Loss: 0.53171 (0.59767)
2025-08-22,07:47:15 | INFO | Train Epoch: 3 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57161 (0.59762) Loss: 0.57161 (0.59762)
2025-08-22,07:48:25 | INFO | Train Epoch: 3 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49485 (0.59742) Loss: 0.49485 (0.59742)
2025-08-22,07:49:35 | INFO | Train Epoch: 3 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59641 (0.59741) Loss: 0.59641 (0.59741)
2025-08-22,07:50:45 | INFO | Train Epoch: 3 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50644 (0.59723) Loss: 0.50644 (0.59723)
2025-08-22,07:51:55 | INFO | Train Epoch: 3 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59428 (0.59723) Loss: 0.59428 (0.59723)
2025-08-22,07:53:05 | INFO | Train Epoch: 3 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55722 (0.59715) Loss: 0.55722 (0.59715)
2025-08-22,07:54:15 | INFO | Train Epoch: 3 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48956 (0.59694) Loss: 0.48956 (0.59694)
2025-08-22,07:55:25 | INFO | Train Epoch: 3 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51534 (0.59678) Loss: 0.51534 (0.59678)
2025-08-22,07:56:35 | INFO | Train Epoch: 3 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54155 (0.59667) Loss: 0.54155 (0.59667)
2025-08-22,07:57:45 | INFO | Train Epoch: 3 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40714 (0.59630) Loss: 0.40714 (0.59630)
2025-08-22,07:58:55 | INFO | Train Epoch: 3 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58712 (0.59628) Loss: 0.58712 (0.59628)
2025-08-22,08:00:05 | INFO | Train Epoch: 3 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49934 (0.59609) Loss: 0.49934 (0.59609)
2025-08-22,08:01:15 | INFO | Train Epoch: 3 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51398 (0.59593) Loss: 0.51398 (0.59593)
2025-08-22,08:02:24 | INFO | Train Epoch: 3 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55848 (0.59585) Loss: 0.55848 (0.59585)
2025-08-22,08:03:34 | INFO | Train Epoch: 3 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57094 (0.59581) Loss: 0.57094 (0.59581)
2025-08-22,08:04:41 | INFO | Train Epoch: 3 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48828 (0.59560) Loss: 0.48828 (0.59560)
2025-08-22,08:04:41 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-22,08:04:41 | INFO | [Epoch 3] Average Step Time: 0.703s | Average GPU Memory: 43.4 GB
2025-08-22,08:04:41 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-22,08:04:41 | INFO | Starting zero-shot imagenet.
2025-08-22,08:04:41 | INFO | Building zero-shot classifier
2025-08-22,08:04:50 | INFO | Using classifier
2025-08-22,08:05:35 | INFO | Finished zero-shot imagenet.
2025-08-22,08:05:35 | INFO | Eval Epoch: 4 imagenet-zeroshot-val-top1: 0.2379	imagenet-zeroshot-val-top5: 0.4769
2025-08-22,08:05:36 | INFO | Start epoch 4
2025-08-22,08:05:38 | INFO | Train Epoch: 4 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37988 (0.37988) Loss: 0.37988 (0.37988)
2025-08-22,08:06:47 | INFO | Train Epoch: 4 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43413 (0.40701) Loss: 0.43413 (0.40701)
2025-08-22,08:07:57 | INFO | Train Epoch: 4 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51470 (0.44290) Loss: 0.51470 (0.44290)
2025-08-22,08:09:07 | INFO | Train Epoch: 4 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56562 (0.47358) Loss: 0.56562 (0.47358)
2025-08-22,08:10:16 | INFO | Train Epoch: 4 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46158 (0.47118) Loss: 0.46158 (0.47118)
2025-08-22,08:11:26 | INFO | Train Epoch: 4 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46130 (0.46953) Loss: 0.46130 (0.46953)
2025-08-22,08:12:36 | INFO | Train Epoch: 4 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51595 (0.47616) Loss: 0.51595 (0.47616)
2025-08-22,08:13:45 | INFO | Train Epoch: 4 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56616 (0.48741) Loss: 0.56616 (0.48741)
2025-08-22,08:14:55 | INFO | Train Epoch: 4 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44762 (0.48299) Loss: 0.44762 (0.48299)
2025-08-22,08:16:05 | INFO | Train Epoch: 4 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52868 (0.48756) Loss: 0.52868 (0.48756)
2025-08-22,08:17:14 | INFO | Train Epoch: 4 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52851 (0.49128) Loss: 0.52851 (0.49128)
2025-08-22,08:18:24 | INFO | Train Epoch: 4 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47940 (0.49029) Loss: 0.47940 (0.49029)
2025-08-22,08:19:34 | INFO | Train Epoch: 4 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55358 (0.49516) Loss: 0.55358 (0.49516)
2025-08-22,08:20:43 | INFO | Train Epoch: 4 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54820 (0.49895) Loss: 0.54820 (0.49895)
2025-08-22,08:21:53 | INFO | Train Epoch: 4 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47939 (0.49765) Loss: 0.47939 (0.49765)
2025-08-22,08:23:03 | INFO | Train Epoch: 4 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53583 (0.50003) Loss: 0.53583 (0.50003)
2025-08-22,08:24:12 | INFO | Train Epoch: 4 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47180 (0.49837) Loss: 0.47180 (0.49837)
2025-08-22,08:25:22 | INFO | Train Epoch: 4 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55780 (0.50167) Loss: 0.55780 (0.50167)
2025-08-22,08:26:32 | INFO | Train Epoch: 4 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49387 (0.50126) Loss: 0.49387 (0.50126)
2025-08-22,08:27:41 | INFO | Train Epoch: 4 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49937 (0.50117) Loss: 0.49937 (0.50117)
2025-08-22,08:28:51 | INFO | Train Epoch: 4 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56442 (0.50418) Loss: 0.56442 (0.50418)
2025-08-22,08:30:01 | INFO | Train Epoch: 4 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43681 (0.50112) Loss: 0.43681 (0.50112)
2025-08-22,08:31:10 | INFO | Train Epoch: 4 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51274 (0.50162) Loss: 0.51274 (0.50162)
2025-08-22,08:32:20 | INFO | Train Epoch: 4 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64306 (0.50752) Loss: 0.64306 (0.50752)
2025-08-22,08:33:30 | INFO | Train Epoch: 4 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60554 (0.51144) Loss: 0.60554 (0.51144)
2025-08-22,08:34:39 | INFO | Train Epoch: 4 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47015 (0.50985) Loss: 0.47015 (0.50985)
2025-08-22,08:35:49 | INFO | Train Epoch: 4 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46449 (0.50817) Loss: 0.46449 (0.50817)
2025-08-22,08:36:59 | INFO | Train Epoch: 4 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55049 (0.50968) Loss: 0.55049 (0.50968)
2025-08-22,08:38:08 | INFO | Train Epoch: 4 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42769 (0.50685) Loss: 0.42769 (0.50685)
2025-08-22,08:39:18 | INFO | Train Epoch: 4 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46601 (0.50549) Loss: 0.46601 (0.50549)
2025-08-22,08:40:28 | INFO | Train Epoch: 4 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49940 (0.50530) Loss: 0.49940 (0.50530)
2025-08-22,08:41:37 | INFO | Train Epoch: 4 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48262 (0.50459) Loss: 0.48262 (0.50459)
2025-08-22,08:42:47 | INFO | Train Epoch: 4 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52946 (0.50534) Loss: 0.52946 (0.50534)
2025-08-22,08:43:57 | INFO | Train Epoch: 4 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53709 (0.50627) Loss: 0.53709 (0.50627)
2025-08-22,08:45:06 | INFO | Train Epoch: 4 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58428 (0.50850) Loss: 0.58428 (0.50850)
2025-08-22,08:46:16 | INFO | Train Epoch: 4 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51584 (0.50871) Loss: 0.51584 (0.50871)
2025-08-22,08:47:26 | INFO | Train Epoch: 4 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41413 (0.50615) Loss: 0.41413 (0.50615)
2025-08-22,08:48:35 | INFO | Train Epoch: 4 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51159 (0.50629) Loss: 0.51159 (0.50629)
2025-08-22,08:49:45 | INFO | Train Epoch: 4 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47689 (0.50554) Loss: 0.47689 (0.50554)
2025-08-22,08:50:55 | INFO | Train Epoch: 4 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44368 (0.50399) Loss: 0.44368 (0.50399)
2025-08-22,08:52:05 | INFO | Train Epoch: 4 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39187 (0.50126) Loss: 0.39187 (0.50126)
2025-08-22,08:53:15 | INFO | Train Epoch: 4 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50292 (0.50130) Loss: 0.50292 (0.50130)
2025-08-22,08:54:24 | INFO | Train Epoch: 4 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54344 (0.50228) Loss: 0.54344 (0.50228)
2025-08-22,08:55:34 | INFO | Train Epoch: 4 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44990 (0.50109) Loss: 0.44990 (0.50109)
2025-08-22,08:56:44 | INFO | Train Epoch: 4 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49852 (0.50103) Loss: 0.49852 (0.50103)
2025-08-22,08:57:54 | INFO | Train Epoch: 4 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46338 (0.50021) Loss: 0.46338 (0.50021)
2025-08-22,08:59:04 | INFO | Train Epoch: 4 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49950 (0.50020) Loss: 0.49950 (0.50020)
2025-08-22,09:00:14 | INFO | Train Epoch: 4 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55363 (0.50131) Loss: 0.55363 (0.50131)
2025-08-22,09:01:24 | INFO | Train Epoch: 4 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55244 (0.50235) Loss: 0.55244 (0.50235)
2025-08-22,09:02:33 | INFO | Train Epoch: 4 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57889 (0.50388) Loss: 0.57889 (0.50388)
2025-08-22,09:03:43 | INFO | Train Epoch: 4 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45100 (0.50285) Loss: 0.45100 (0.50285)
2025-08-22,09:04:53 | INFO | Train Epoch: 4 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50651 (0.50292) Loss: 0.50651 (0.50292)
2025-08-22,09:06:03 | INFO | Train Epoch: 4 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42052 (0.50136) Loss: 0.42052 (0.50136)
2025-08-22,09:07:13 | INFO | Train Epoch: 4 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53251 (0.50194) Loss: 0.53251 (0.50194)
2025-08-22,09:08:23 | INFO | Train Epoch: 4 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48125 (0.50156) Loss: 0.48125 (0.50156)
2025-08-22,09:09:33 | INFO | Train Epoch: 4 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41942 (0.50010) Loss: 0.41942 (0.50010)
2025-08-22,09:10:43 | INFO | Train Epoch: 4 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41147 (0.49854) Loss: 0.41147 (0.49854)
2025-08-22,09:11:52 | INFO | Train Epoch: 4 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54258 (0.49930) Loss: 0.54258 (0.49930)
2025-08-22,09:13:02 | INFO | Train Epoch: 4 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52885 (0.49980) Loss: 0.52885 (0.49980)
2025-08-22,09:14:12 | INFO | Train Epoch: 4 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52671 (0.50025) Loss: 0.52671 (0.50025)
2025-08-22,09:15:22 | INFO | Train Epoch: 4 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45140 (0.49945) Loss: 0.45140 (0.49945)
2025-08-22,09:16:32 | INFO | Train Epoch: 4 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48368 (0.49920) Loss: 0.48368 (0.49920)
2025-08-22,09:17:42 | INFO | Train Epoch: 4 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52699 (0.49964) Loss: 0.52699 (0.49964)
2025-08-22,09:18:51 | INFO | Train Epoch: 4 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54102 (0.50028) Loss: 0.54102 (0.50028)
2025-08-22,09:20:01 | INFO | Train Epoch: 4 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60055 (0.50183) Loss: 0.60055 (0.50183)
2025-08-22,09:21:11 | INFO | Train Epoch: 4 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42535 (0.50067) Loss: 0.42535 (0.50067)
2025-08-22,09:22:21 | INFO | Train Epoch: 4 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46124 (0.50008) Loss: 0.46124 (0.50008)
2025-08-22,09:23:31 | INFO | Train Epoch: 4 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53796 (0.50064) Loss: 0.53796 (0.50064)
2025-08-22,09:24:41 | INFO | Train Epoch: 4 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56286 (0.50154) Loss: 0.56286 (0.50154)
2025-08-22,09:25:51 | INFO | Train Epoch: 4 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56523 (0.50245) Loss: 0.56523 (0.50245)
2025-08-22,09:27:00 | INFO | Train Epoch: 4 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54987 (0.50312) Loss: 0.54987 (0.50312)
2025-08-22,09:28:10 | INFO | Train Epoch: 4 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45832 (0.50249) Loss: 0.45832 (0.50249)
2025-08-22,09:29:20 | INFO | Train Epoch: 4 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53211 (0.50290) Loss: 0.53211 (0.50290)
2025-08-22,09:30:30 | INFO | Train Epoch: 4 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52923 (0.50325) Loss: 0.52923 (0.50325)
2025-08-22,09:31:40 | INFO | Train Epoch: 4 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52533 (0.50355) Loss: 0.52533 (0.50355)
2025-08-22,09:32:50 | INFO | Train Epoch: 4 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44912 (0.50283) Loss: 0.44912 (0.50283)
2025-08-22,09:34:00 | INFO | Train Epoch: 4 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52425 (0.50311) Loss: 0.52425 (0.50311)
2025-08-22,09:35:10 | INFO | Train Epoch: 4 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59899 (0.50434) Loss: 0.59899 (0.50434)
2025-08-22,09:36:20 | INFO | Train Epoch: 4 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46204 (0.50381) Loss: 0.46204 (0.50381)
2025-08-22,09:37:30 | INFO | Train Epoch: 4 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47353 (0.50343) Loss: 0.47353 (0.50343)
2025-08-22,09:38:39 | INFO | Train Epoch: 4 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46196 (0.50291) Loss: 0.46196 (0.50291)
2025-08-22,09:39:49 | INFO | Train Epoch: 4 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54896 (0.50348) Loss: 0.54896 (0.50348)
2025-08-22,09:40:59 | INFO | Train Epoch: 4 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46233 (0.50298) Loss: 0.46233 (0.50298)
2025-08-22,09:42:09 | INFO | Train Epoch: 4 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53763 (0.50339) Loss: 0.53763 (0.50339)
2025-08-22,09:43:19 | INFO | Train Epoch: 4 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49561 (0.50330) Loss: 0.49561 (0.50330)
2025-08-22,09:44:29 | INFO | Train Epoch: 4 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50715 (0.50335) Loss: 0.50715 (0.50335)
2025-08-22,09:45:39 | INFO | Train Epoch: 4 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53974 (0.50376) Loss: 0.53974 (0.50376)
2025-08-22,09:46:49 | INFO | Train Epoch: 4 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49859 (0.50371) Loss: 0.49859 (0.50371)
2025-08-22,09:47:59 | INFO | Train Epoch: 4 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52774 (0.50398) Loss: 0.52774 (0.50398)
2025-08-22,09:49:09 | INFO | Train Epoch: 4 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48000 (0.50371) Loss: 0.48000 (0.50371)
2025-08-22,09:50:19 | INFO | Train Epoch: 4 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54949 (0.50421) Loss: 0.54949 (0.50421)
2025-08-22,09:51:29 | INFO | Train Epoch: 4 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41795 (0.50327) Loss: 0.41795 (0.50327)
2025-08-22,09:52:39 | INFO | Train Epoch: 4 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48451 (0.50307) Loss: 0.48451 (0.50307)
2025-08-22,09:53:48 | INFO | Train Epoch: 4 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45799 (0.50259) Loss: 0.45799 (0.50259)
2025-08-22,09:54:58 | INFO | Train Epoch: 4 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41876 (0.50171) Loss: 0.41876 (0.50171)
2025-08-22,09:56:08 | INFO | Train Epoch: 4 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54525 (0.50216) Loss: 0.54525 (0.50216)
2025-08-22,09:57:18 | INFO | Train Epoch: 4 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47125 (0.50185) Loss: 0.47125 (0.50185)
2025-08-22,09:58:28 | INFO | Train Epoch: 4 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51375 (0.50197) Loss: 0.51375 (0.50197)
2025-08-22,09:59:38 | INFO | Train Epoch: 4 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48896 (0.50184) Loss: 0.48896 (0.50184)
2025-08-22,10:00:48 | INFO | Train Epoch: 4 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53718 (0.50219) Loss: 0.53718 (0.50219)
2025-08-22,10:01:58 | INFO | Train Epoch: 4 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44526 (0.50163) Loss: 0.44526 (0.50163)
2025-08-22,10:03:08 | INFO | Train Epoch: 4 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42532 (0.50088) Loss: 0.42532 (0.50088)
2025-08-22,10:04:18 | INFO | Train Epoch: 4 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59135 (0.50176) Loss: 0.59135 (0.50176)
2025-08-22,10:05:28 | INFO | Train Epoch: 4 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45937 (0.50135) Loss: 0.45937 (0.50135)
2025-08-22,10:06:37 | INFO | Train Epoch: 4 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57923 (0.50209) Loss: 0.57923 (0.50209)
2025-08-22,10:07:47 | INFO | Train Epoch: 4 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56679 (0.50270) Loss: 0.56679 (0.50270)
2025-08-22,10:08:57 | INFO | Train Epoch: 4 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45721 (0.50228) Loss: 0.45721 (0.50228)
2025-08-22,10:10:07 | INFO | Train Epoch: 4 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44995 (0.50179) Loss: 0.44995 (0.50179)
2025-08-22,10:11:17 | INFO | Train Epoch: 4 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43174 (0.50115) Loss: 0.43174 (0.50115)
2025-08-22,10:12:27 | INFO | Train Epoch: 4 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48491 (0.50100) Loss: 0.48491 (0.50100)
2025-08-22,10:13:37 | INFO | Train Epoch: 4 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48908 (0.50089) Loss: 0.48908 (0.50089)
2025-08-22,10:14:47 | INFO | Train Epoch: 4 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54558 (0.50129) Loss: 0.54558 (0.50129)
2025-08-22,10:15:57 | INFO | Train Epoch: 4 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48811 (0.50118) Loss: 0.48811 (0.50118)
2025-08-22,10:17:07 | INFO | Train Epoch: 4 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45312 (0.50075) Loss: 0.45312 (0.50075)
2025-08-22,10:18:17 | INFO | Train Epoch: 4 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51039 (0.50084) Loss: 0.51039 (0.50084)
2025-08-22,10:19:27 | INFO | Train Epoch: 4 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42489 (0.50018) Loss: 0.42489 (0.50018)
2025-08-22,10:20:37 | INFO | Train Epoch: 4 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53247 (0.50046) Loss: 0.53247 (0.50046)
2025-08-22,10:21:47 | INFO | Train Epoch: 4 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40393 (0.49964) Loss: 0.40393 (0.49964)
2025-08-22,10:22:57 | INFO | Train Epoch: 4 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60614 (0.50054) Loss: 0.60614 (0.50054)
2025-08-22,10:24:07 | INFO | Train Epoch: 4 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42596 (0.49991) Loss: 0.42596 (0.49991)
2025-08-22,10:25:16 | INFO | Train Epoch: 4 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55636 (0.50038) Loss: 0.55636 (0.50038)
2025-08-22,10:26:26 | INFO | Train Epoch: 4 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43971 (0.49988) Loss: 0.43971 (0.49988)
2025-08-22,10:27:36 | INFO | Train Epoch: 4 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46299 (0.49958) Loss: 0.46299 (0.49958)
2025-08-22,10:28:46 | INFO | Train Epoch: 4 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53014 (0.49983) Loss: 0.53014 (0.49983)
2025-08-22,10:29:56 | INFO | Train Epoch: 4 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48466 (0.49971) Loss: 0.48466 (0.49971)
2025-08-22,10:31:06 | INFO | Train Epoch: 4 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38806 (0.49882) Loss: 0.38806 (0.49882)
2025-08-22,10:32:16 | INFO | Train Epoch: 4 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37210 (0.49782) Loss: 0.37210 (0.49782)
2025-08-22,10:33:26 | INFO | Train Epoch: 4 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51927 (0.49799) Loss: 0.51927 (0.49799)
2025-08-22,10:34:36 | INFO | Train Epoch: 4 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54138 (0.49833) Loss: 0.54138 (0.49833)
2025-08-22,10:35:46 | INFO | Train Epoch: 4 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47331 (0.49814) Loss: 0.47331 (0.49814)
2025-08-22,10:36:56 | INFO | Train Epoch: 4 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45012 (0.49777) Loss: 0.45012 (0.49777)
2025-08-22,10:38:06 | INFO | Train Epoch: 4 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54572 (0.49813) Loss: 0.54572 (0.49813)
2025-08-22,10:39:16 | INFO | Train Epoch: 4 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40083 (0.49740) Loss: 0.40083 (0.49740)
2025-08-22,10:40:26 | INFO | Train Epoch: 4 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39829 (0.49666) Loss: 0.39829 (0.49666)
2025-08-22,10:41:36 | INFO | Train Epoch: 4 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53876 (0.49697) Loss: 0.53876 (0.49697)
2025-08-22,10:42:46 | INFO | Train Epoch: 4 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42247 (0.49643) Loss: 0.42247 (0.49643)
2025-08-22,10:43:56 | INFO | Train Epoch: 4 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52597 (0.49664) Loss: 0.52597 (0.49664)
2025-08-22,10:45:06 | INFO | Train Epoch: 4 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49139 (0.49660) Loss: 0.49139 (0.49660)
2025-08-22,10:46:15 | INFO | Train Epoch: 4 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46429 (0.49637) Loss: 0.46429 (0.49637)
2025-08-22,10:47:25 | INFO | Train Epoch: 4 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43862 (0.49596) Loss: 0.43862 (0.49596)
2025-08-22,10:48:35 | INFO | Train Epoch: 4 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51203 (0.49607) Loss: 0.51203 (0.49607)
2025-08-22,10:49:45 | INFO | Train Epoch: 4 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50284 (0.49612) Loss: 0.50284 (0.49612)
2025-08-22,10:50:55 | INFO | Train Epoch: 4 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38335 (0.49533) Loss: 0.38335 (0.49533)
2025-08-22,10:52:05 | INFO | Train Epoch: 4 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45974 (0.49508) Loss: 0.45974 (0.49508)
2025-08-22,10:53:15 | INFO | Train Epoch: 4 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47689 (0.49496) Loss: 0.47689 (0.49496)
2025-08-22,10:54:25 | INFO | Train Epoch: 4 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41699 (0.49442) Loss: 0.41699 (0.49442)
2025-08-22,10:55:35 | INFO | Train Epoch: 4 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40776 (0.49384) Loss: 0.40776 (0.49384)
2025-08-22,10:56:45 | INFO | Train Epoch: 4 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41498 (0.49330) Loss: 0.41498 (0.49330)
2025-08-22,10:57:55 | INFO | Train Epoch: 4 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55801 (0.49374) Loss: 0.55801 (0.49374)
2025-08-22,10:59:05 | INFO | Train Epoch: 4 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50238 (0.49379) Loss: 0.50238 (0.49379)
2025-08-22,11:00:15 | INFO | Train Epoch: 4 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48202 (0.49372) Loss: 0.48202 (0.49372)
2025-08-22,11:01:25 | INFO | Train Epoch: 4 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47369 (0.49358) Loss: 0.47369 (0.49358)
2025-08-22,11:02:35 | INFO | Train Epoch: 4 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53913 (0.49388) Loss: 0.53913 (0.49388)
2025-08-22,11:03:45 | INFO | Train Epoch: 4 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47859 (0.49378) Loss: 0.47859 (0.49378)
2025-08-22,11:04:55 | INFO | Train Epoch: 4 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47984 (0.49369) Loss: 0.47984 (0.49369)
2025-08-22,11:06:05 | INFO | Train Epoch: 4 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53131 (0.49393) Loss: 0.53131 (0.49393)
2025-08-22,11:07:15 | INFO | Train Epoch: 4 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49453 (0.49394) Loss: 0.49453 (0.49394)
2025-08-22,11:08:25 | INFO | Train Epoch: 4 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50214 (0.49399) Loss: 0.50214 (0.49399)
2025-08-22,11:09:34 | INFO | Train Epoch: 4 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47714 (0.49388) Loss: 0.47714 (0.49388)
2025-08-22,11:10:44 | INFO | Train Epoch: 4 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40770 (0.49335) Loss: 0.40770 (0.49335)
2025-08-22,11:11:54 | INFO | Train Epoch: 4 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51413 (0.49347) Loss: 0.51413 (0.49347)
2025-08-22,11:13:04 | INFO | Train Epoch: 4 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49694 (0.49350) Loss: 0.49694 (0.49350)
2025-08-22,11:14:14 | INFO | Train Epoch: 4 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47491 (0.49338) Loss: 0.47491 (0.49338)
2025-08-22,11:15:24 | INFO | Train Epoch: 4 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51437 (0.49351) Loss: 0.51437 (0.49351)
2025-08-22,11:16:34 | INFO | Train Epoch: 4 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.65348 (0.49448) Loss: 0.65348 (0.49448)
2025-08-22,11:17:44 | INFO | Train Epoch: 4 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48616 (0.49443) Loss: 0.48616 (0.49443)
2025-08-22,11:18:54 | INFO | Train Epoch: 4 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47458 (0.49431) Loss: 0.47458 (0.49431)
2025-08-22,11:20:04 | INFO | Train Epoch: 4 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56206 (0.49471) Loss: 0.56206 (0.49471)
2025-08-22,11:21:14 | INFO | Train Epoch: 4 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46028 (0.49451) Loss: 0.46028 (0.49451)
2025-08-22,11:22:24 | INFO | Train Epoch: 4 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47301 (0.49438) Loss: 0.47301 (0.49438)
2025-08-22,11:23:34 | INFO | Train Epoch: 4 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46506 (0.49421) Loss: 0.46506 (0.49421)
2025-08-22,11:24:44 | INFO | Train Epoch: 4 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56867 (0.49464) Loss: 0.56867 (0.49464)
2025-08-22,11:25:54 | INFO | Train Epoch: 4 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51647 (0.49477) Loss: 0.51647 (0.49477)
2025-08-22,11:27:04 | INFO | Train Epoch: 4 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60290 (0.49539) Loss: 0.60290 (0.49539)
2025-08-22,11:28:14 | INFO | Train Epoch: 4 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45126 (0.49514) Loss: 0.45126 (0.49514)
2025-08-22,11:29:24 | INFO | Train Epoch: 4 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46554 (0.49497) Loss: 0.46554 (0.49497)
2025-08-22,11:30:34 | INFO | Train Epoch: 4 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56098 (0.49535) Loss: 0.56098 (0.49535)
2025-08-22,11:31:44 | INFO | Train Epoch: 4 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50561 (0.49540) Loss: 0.50561 (0.49540)
2025-08-22,11:32:54 | INFO | Train Epoch: 4 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44827 (0.49514) Loss: 0.44827 (0.49514)
2025-08-22,11:34:04 | INFO | Train Epoch: 4 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40509 (0.49464) Loss: 0.40509 (0.49464)
2025-08-22,11:35:14 | INFO | Train Epoch: 4 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45637 (0.49443) Loss: 0.45637 (0.49443)
2025-08-22,11:36:24 | INFO | Train Epoch: 4 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48074 (0.49435) Loss: 0.48074 (0.49435)
2025-08-22,11:37:33 | INFO | Train Epoch: 4 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46576 (0.49420) Loss: 0.46576 (0.49420)
2025-08-22,11:38:44 | INFO | Train Epoch: 4 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50517 (0.49426) Loss: 0.50517 (0.49426)
2025-08-22,11:39:53 | INFO | Train Epoch: 4 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52157 (0.49440) Loss: 0.52157 (0.49440)
2025-08-22,11:41:03 | INFO | Train Epoch: 4 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47478 (0.49430) Loss: 0.47478 (0.49430)
2025-08-22,11:42:13 | INFO | Train Epoch: 4 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39468 (0.49377) Loss: 0.39468 (0.49377)
2025-08-22,11:43:23 | INFO | Train Epoch: 4 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40770 (0.49331) Loss: 0.40770 (0.49331)
2025-08-22,11:44:33 | INFO | Train Epoch: 4 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36595 (0.49263) Loss: 0.36595 (0.49263)
2025-08-22,11:45:43 | INFO | Train Epoch: 4 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40371 (0.49217) Loss: 0.40371 (0.49217)
2025-08-22,11:46:53 | INFO | Train Epoch: 4 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39781 (0.49167) Loss: 0.39781 (0.49167)
2025-08-22,11:48:03 | INFO | Train Epoch: 4 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.63942 (0.49244) Loss: 0.63942 (0.49244)
2025-08-22,11:49:13 | INFO | Train Epoch: 4 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46109 (0.49228) Loss: 0.46109 (0.49228)
2025-08-22,11:50:23 | INFO | Train Epoch: 4 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42653 (0.49194) Loss: 0.42653 (0.49194)
2025-08-22,11:51:33 | INFO | Train Epoch: 4 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56598 (0.49232) Loss: 0.56598 (0.49232)
2025-08-22,11:52:43 | INFO | Train Epoch: 4 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49246 (0.49232) Loss: 0.49246 (0.49232)
2025-08-22,11:53:53 | INFO | Train Epoch: 4 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49322 (0.49232) Loss: 0.49322 (0.49232)
2025-08-22,11:55:03 | INFO | Train Epoch: 4 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50070 (0.49237) Loss: 0.50070 (0.49237)
2025-08-22,11:56:13 | INFO | Train Epoch: 4 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43413 (0.49207) Loss: 0.43413 (0.49207)
2025-08-22,11:57:23 | INFO | Train Epoch: 4 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50882 (0.49216) Loss: 0.50882 (0.49216)
2025-08-22,11:58:33 | INFO | Train Epoch: 4 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45932 (0.49199) Loss: 0.45932 (0.49199)
2025-08-22,11:59:43 | INFO | Train Epoch: 4 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41099 (0.49159) Loss: 0.41099 (0.49159)
2025-08-22,12:00:53 | INFO | Train Epoch: 4 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47031 (0.49149) Loss: 0.47031 (0.49149)
2025-08-22,12:02:03 | INFO | Train Epoch: 4 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34948 (0.49079) Loss: 0.34948 (0.49079)
2025-08-22,12:03:13 | INFO | Train Epoch: 4 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52747 (0.49097) Loss: 0.52747 (0.49097)
2025-08-22,12:04:23 | INFO | Train Epoch: 4 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46649 (0.49085) Loss: 0.46649 (0.49085)
2025-08-22,12:05:33 | INFO | Train Epoch: 4 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53992 (0.49109) Loss: 0.53992 (0.49109)
2025-08-22,12:06:43 | INFO | Train Epoch: 4 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44881 (0.49089) Loss: 0.44881 (0.49089)
2025-08-22,12:07:53 | INFO | Train Epoch: 4 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44140 (0.49065) Loss: 0.44140 (0.49065)
2025-08-22,12:09:03 | INFO | Train Epoch: 4 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46605 (0.49053) Loss: 0.46605 (0.49053)
2025-08-22,12:10:13 | INFO | Train Epoch: 4 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47235 (0.49045) Loss: 0.47235 (0.49045)
2025-08-22,12:11:24 | INFO | Train Epoch: 4 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54507 (0.49070) Loss: 0.54507 (0.49070)
2025-08-22,12:12:34 | INFO | Train Epoch: 4 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44869 (0.49051) Loss: 0.44869 (0.49051)
2025-08-22,12:13:44 | INFO | Train Epoch: 4 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47779 (0.49045) Loss: 0.47779 (0.49045)
2025-08-22,12:14:54 | INFO | Train Epoch: 4 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46600 (0.49033) Loss: 0.46600 (0.49033)
2025-08-22,12:16:04 | INFO | Train Epoch: 4 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46101 (0.49020) Loss: 0.46101 (0.49020)
2025-08-22,12:17:14 | INFO | Train Epoch: 4 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43463 (0.48994) Loss: 0.43463 (0.48994)
2025-08-22,12:18:24 | INFO | Train Epoch: 4 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44786 (0.48975) Loss: 0.44786 (0.48975)
2025-08-22,12:19:34 | INFO | Train Epoch: 4 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44675 (0.48955) Loss: 0.44675 (0.48955)
2025-08-22,12:20:44 | INFO | Train Epoch: 4 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46849 (0.48946) Loss: 0.46849 (0.48946)
2025-08-22,12:21:54 | INFO | Train Epoch: 4 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42444 (0.48916) Loss: 0.42444 (0.48916)
2025-08-22,12:23:04 | INFO | Train Epoch: 4 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42178 (0.48886) Loss: 0.42178 (0.48886)
2025-08-22,12:24:14 | INFO | Train Epoch: 4 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43830 (0.48863) Loss: 0.43830 (0.48863)
2025-08-22,12:25:24 | INFO | Train Epoch: 4 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47950 (0.48859) Loss: 0.47950 (0.48859)
2025-08-22,12:26:34 | INFO | Train Epoch: 4 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40463 (0.48822) Loss: 0.40463 (0.48822)
2025-08-22,12:27:44 | INFO | Train Epoch: 4 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49290 (0.48824) Loss: 0.49290 (0.48824)
2025-08-22,12:28:54 | INFO | Train Epoch: 4 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60260 (0.48874) Loss: 0.60260 (0.48874)
2025-08-22,12:30:04 | INFO | Train Epoch: 4 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44213 (0.48854) Loss: 0.44213 (0.48854)
2025-08-22,12:31:15 | INFO | Train Epoch: 4 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42150 (0.48825) Loss: 0.42150 (0.48825)
2025-08-22,12:32:25 | INFO | Train Epoch: 4 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47044 (0.48817) Loss: 0.47044 (0.48817)
2025-08-22,12:33:35 | INFO | Train Epoch: 4 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48983 (0.48818) Loss: 0.48983 (0.48818)
2025-08-22,12:34:45 | INFO | Train Epoch: 4 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47159 (0.48810) Loss: 0.47159 (0.48810)
2025-08-22,12:35:55 | INFO | Train Epoch: 4 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34574 (0.48749) Loss: 0.34574 (0.48749)
2025-08-22,12:37:05 | INFO | Train Epoch: 4 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48647 (0.48749) Loss: 0.48647 (0.48749)
2025-08-22,12:38:15 | INFO | Train Epoch: 4 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44074 (0.48729) Loss: 0.44074 (0.48729)
2025-08-22,12:39:25 | INFO | Train Epoch: 4 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46585 (0.48720) Loss: 0.46585 (0.48720)
2025-08-22,12:40:35 | INFO | Train Epoch: 4 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55239 (0.48747) Loss: 0.55239 (0.48747)
2025-08-22,12:41:45 | INFO | Train Epoch: 4 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58337 (0.48788) Loss: 0.58337 (0.48788)
2025-08-22,12:42:55 | INFO | Train Epoch: 4 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43955 (0.48767) Loss: 0.43955 (0.48767)
2025-08-22,12:44:06 | INFO | Train Epoch: 4 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59682 (0.48813) Loss: 0.59682 (0.48813)
2025-08-22,12:45:16 | INFO | Train Epoch: 4 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53872 (0.48834) Loss: 0.53872 (0.48834)
2025-08-22,12:46:26 | INFO | Train Epoch: 4 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51993 (0.48847) Loss: 0.51993 (0.48847)
2025-08-22,12:47:36 | INFO | Train Epoch: 4 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39652 (0.48809) Loss: 0.39652 (0.48809)
2025-08-22,12:48:46 | INFO | Train Epoch: 4 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44321 (0.48791) Loss: 0.44321 (0.48791)
2025-08-22,12:49:56 | INFO | Train Epoch: 4 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58096 (0.48829) Loss: 0.58096 (0.48829)
2025-08-22,12:51:06 | INFO | Train Epoch: 4 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46207 (0.48818) Loss: 0.46207 (0.48818)
2025-08-22,12:52:16 | INFO | Train Epoch: 4 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44645 (0.48801) Loss: 0.44645 (0.48801)
2025-08-22,12:53:26 | INFO | Train Epoch: 4 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48016 (0.48798) Loss: 0.48016 (0.48798)
2025-08-22,12:54:36 | INFO | Train Epoch: 4 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50098 (0.48803) Loss: 0.50098 (0.48803)
2025-08-22,12:55:46 | INFO | Train Epoch: 4 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55017 (0.48828) Loss: 0.55017 (0.48828)
2025-08-22,12:56:56 | INFO | Train Epoch: 4 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46456 (0.48819) Loss: 0.46456 (0.48819)
2025-08-22,12:58:06 | INFO | Train Epoch: 4 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46849 (0.48811) Loss: 0.46849 (0.48811)
2025-08-22,12:59:16 | INFO | Train Epoch: 4 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43780 (0.48791) Loss: 0.43780 (0.48791)
2025-08-22,13:00:26 | INFO | Train Epoch: 4 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51827 (0.48803) Loss: 0.51827 (0.48803)
2025-08-22,13:01:36 | INFO | Train Epoch: 4 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45599 (0.48790) Loss: 0.45599 (0.48790)
2025-08-22,13:02:46 | INFO | Train Epoch: 4 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39711 (0.48755) Loss: 0.39711 (0.48755)
2025-08-22,13:03:56 | INFO | Train Epoch: 4 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49041 (0.48756) Loss: 0.49041 (0.48756)
2025-08-22,13:05:06 | INFO | Train Epoch: 4 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43022 (0.48734) Loss: 0.43022 (0.48734)
2025-08-22,13:06:16 | INFO | Train Epoch: 4 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40377 (0.48702) Loss: 0.40377 (0.48702)
2025-08-22,13:07:26 | INFO | Train Epoch: 4 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58893 (0.48741) Loss: 0.58893 (0.48741)
2025-08-22,13:08:37 | INFO | Train Epoch: 4 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49158 (0.48742) Loss: 0.49158 (0.48742)
2025-08-22,13:09:47 | INFO | Train Epoch: 4 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50360 (0.48748) Loss: 0.50360 (0.48748)
2025-08-22,13:10:57 | INFO | Train Epoch: 4 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41188 (0.48720) Loss: 0.41188 (0.48720)
2025-08-22,13:12:07 | INFO | Train Epoch: 4 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42413 (0.48696) Loss: 0.42413 (0.48696)
2025-08-22,13:13:17 | INFO | Train Epoch: 4 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51812 (0.48708) Loss: 0.51812 (0.48708)
2025-08-22,13:14:27 | INFO | Train Epoch: 4 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51180 (0.48717) Loss: 0.51180 (0.48717)
2025-08-22,13:15:37 | INFO | Train Epoch: 4 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48418 (0.48716) Loss: 0.48418 (0.48716)
2025-08-22,13:16:47 | INFO | Train Epoch: 4 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51023 (0.48724) Loss: 0.51023 (0.48724)
2025-08-22,13:17:57 | INFO | Train Epoch: 4 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44703 (0.48709) Loss: 0.44703 (0.48709)
2025-08-22,13:19:07 | INFO | Train Epoch: 4 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47257 (0.48704) Loss: 0.47257 (0.48704)
2025-08-22,13:20:17 | INFO | Train Epoch: 4 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51577 (0.48715) Loss: 0.51577 (0.48715)
2025-08-22,13:21:27 | INFO | Train Epoch: 4 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43768 (0.48696) Loss: 0.43768 (0.48696)
2025-08-22,13:22:37 | INFO | Train Epoch: 4 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48914 (0.48697) Loss: 0.48914 (0.48697)
2025-08-22,13:23:47 | INFO | Train Epoch: 4 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43043 (0.48677) Loss: 0.43043 (0.48677)
2025-08-22,13:24:57 | INFO | Train Epoch: 4 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53149 (0.48693) Loss: 0.53149 (0.48693)
2025-08-22,13:26:07 | INFO | Train Epoch: 4 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43037 (0.48672) Loss: 0.43037 (0.48672)
2025-08-22,13:27:17 | INFO | Train Epoch: 4 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49469 (0.48675) Loss: 0.49469 (0.48675)
2025-08-22,13:28:27 | INFO | Train Epoch: 4 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51004 (0.48684) Loss: 0.51004 (0.48684)
2025-08-22,13:29:37 | INFO | Train Epoch: 4 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57271 (0.48714) Loss: 0.57271 (0.48714)
2025-08-22,13:30:47 | INFO | Train Epoch: 4 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49204 (0.48716) Loss: 0.49204 (0.48716)
2025-08-22,13:31:57 | INFO | Train Epoch: 4 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41065 (0.48689) Loss: 0.41065 (0.48689)
2025-08-22,13:33:07 | INFO | Train Epoch: 4 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36213 (0.48645) Loss: 0.36213 (0.48645)
2025-08-22,13:34:17 | INFO | Train Epoch: 4 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43101 (0.48625) Loss: 0.43101 (0.48625)
2025-08-22,13:35:27 | INFO | Train Epoch: 4 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47953 (0.48623) Loss: 0.47953 (0.48623)
2025-08-22,13:36:37 | INFO | Train Epoch: 4 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36941 (0.48582) Loss: 0.36941 (0.48582)
2025-08-22,13:37:47 | INFO | Train Epoch: 4 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50935 (0.48590) Loss: 0.50935 (0.48590)
2025-08-22,13:38:57 | INFO | Train Epoch: 4 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50117 (0.48595) Loss: 0.50117 (0.48595)
2025-08-22,13:40:07 | INFO | Train Epoch: 4 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51924 (0.48607) Loss: 0.51924 (0.48607)
2025-08-22,13:41:17 | INFO | Train Epoch: 4 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43532 (0.48589) Loss: 0.43532 (0.48589)
2025-08-22,13:42:27 | INFO | Train Epoch: 4 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50362 (0.48595) Loss: 0.50362 (0.48595)
2025-08-22,13:43:37 | INFO | Train Epoch: 4 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45107 (0.48583) Loss: 0.45107 (0.48583)
2025-08-22,13:44:47 | INFO | Train Epoch: 4 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42060 (0.48561) Loss: 0.42060 (0.48561)
2025-08-22,13:45:56 | INFO | Train Epoch: 4 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49215 (0.48563) Loss: 0.49215 (0.48563)
2025-08-22,13:47:06 | INFO | Train Epoch: 4 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.60391 (0.48604) Loss: 0.60391 (0.48604)
2025-08-22,13:48:16 | INFO | Train Epoch: 4 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45977 (0.48595) Loss: 0.45977 (0.48595)
2025-08-22,13:49:26 | INFO | Train Epoch: 4 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43771 (0.48578) Loss: 0.43771 (0.48578)
2025-08-22,13:50:36 | INFO | Train Epoch: 4 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43213 (0.48560) Loss: 0.43213 (0.48560)
2025-08-22,13:51:46 | INFO | Train Epoch: 4 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51712 (0.48571) Loss: 0.51712 (0.48571)
2025-08-22,13:52:56 | INFO | Train Epoch: 4 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57164 (0.48600) Loss: 0.57164 (0.48600)
2025-08-22,13:54:06 | INFO | Train Epoch: 4 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47917 (0.48597) Loss: 0.47917 (0.48597)
2025-08-22,13:55:16 | INFO | Train Epoch: 4 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42879 (0.48578) Loss: 0.42879 (0.48578)
2025-08-22,13:56:26 | INFO | Train Epoch: 4 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44818 (0.48566) Loss: 0.44818 (0.48566)
2025-08-22,13:57:35 | INFO | Train Epoch: 4 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.64784 (0.48619) Loss: 0.64784 (0.48619)
2025-08-22,13:58:45 | INFO | Train Epoch: 4 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50442 (0.48625) Loss: 0.50442 (0.48625)
2025-08-22,13:59:55 | INFO | Train Epoch: 4 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43818 (0.48610) Loss: 0.43818 (0.48610)
2025-08-22,14:01:05 | INFO | Train Epoch: 4 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42683 (0.48590) Loss: 0.42683 (0.48590)
2025-08-22,14:02:15 | INFO | Train Epoch: 4 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52671 (0.48604) Loss: 0.52671 (0.48604)
2025-08-22,14:03:25 | INFO | Train Epoch: 4 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42486 (0.48584) Loss: 0.42486 (0.48584)
2025-08-22,14:04:35 | INFO | Train Epoch: 4 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38832 (0.48552) Loss: 0.38832 (0.48552)
2025-08-22,14:05:45 | INFO | Train Epoch: 4 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47771 (0.48550) Loss: 0.47771 (0.48550)
2025-08-22,14:06:55 | INFO | Train Epoch: 4 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46039 (0.48542) Loss: 0.46039 (0.48542)
2025-08-22,14:08:05 | INFO | Train Epoch: 4 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43959 (0.48527) Loss: 0.43959 (0.48527)
2025-08-22,14:09:14 | INFO | Train Epoch: 4 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48643 (0.48527) Loss: 0.48643 (0.48527)
2025-08-22,14:10:24 | INFO | Train Epoch: 4 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47214 (0.48523) Loss: 0.47214 (0.48523)
2025-08-22,14:11:34 | INFO | Train Epoch: 4 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45382 (0.48513) Loss: 0.45382 (0.48513)
2025-08-22,14:12:44 | INFO | Train Epoch: 4 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49443 (0.48516) Loss: 0.49443 (0.48516)
2025-08-22,14:13:54 | INFO | Train Epoch: 4 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40419 (0.48490) Loss: 0.40419 (0.48490)
2025-08-22,14:15:04 | INFO | Train Epoch: 4 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44086 (0.48477) Loss: 0.44086 (0.48477)
2025-08-22,14:16:13 | INFO | Train Epoch: 4 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52035 (0.48488) Loss: 0.52035 (0.48488)
2025-08-22,14:17:23 | INFO | Train Epoch: 4 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45770 (0.48479) Loss: 0.45770 (0.48479)
2025-08-22,14:18:33 | INFO | Train Epoch: 4 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43892 (0.48465) Loss: 0.43892 (0.48465)
2025-08-22,14:19:43 | INFO | Train Epoch: 4 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.59069 (0.48498) Loss: 0.59069 (0.48498)
2025-08-22,14:20:53 | INFO | Train Epoch: 4 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39673 (0.48471) Loss: 0.39673 (0.48471)
2025-08-22,14:22:03 | INFO | Train Epoch: 4 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53368 (0.48486) Loss: 0.53368 (0.48486)
2025-08-22,14:23:13 | INFO | Train Epoch: 4 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51590 (0.48495) Loss: 0.51590 (0.48495)
2025-08-22,14:24:23 | INFO | Train Epoch: 4 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52329 (0.48507) Loss: 0.52329 (0.48507)
2025-08-22,14:25:33 | INFO | Train Epoch: 4 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45741 (0.48499) Loss: 0.45741 (0.48499)
2025-08-22,14:26:43 | INFO | Train Epoch: 4 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49784 (0.48503) Loss: 0.49784 (0.48503)
2025-08-22,14:27:52 | INFO | Train Epoch: 4 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47708 (0.48500) Loss: 0.47708 (0.48500)
2025-08-22,14:29:02 | INFO | Train Epoch: 4 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42066 (0.48481) Loss: 0.42066 (0.48481)
2025-08-22,14:30:12 | INFO | Train Epoch: 4 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45002 (0.48470) Loss: 0.45002 (0.48470)
2025-08-22,14:31:22 | INFO | Train Epoch: 4 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53300 (0.48485) Loss: 0.53300 (0.48485)
2025-08-22,14:32:32 | INFO | Train Epoch: 4 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46505 (0.48479) Loss: 0.46505 (0.48479)
2025-08-22,14:33:42 | INFO | Train Epoch: 4 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39854 (0.48453) Loss: 0.39854 (0.48453)
2025-08-22,14:34:52 | INFO | Train Epoch: 4 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47555 (0.48450) Loss: 0.47555 (0.48450)
2025-08-22,14:36:02 | INFO | Train Epoch: 4 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55441 (0.48471) Loss: 0.55441 (0.48471)
2025-08-22,14:37:12 | INFO | Train Epoch: 4 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44640 (0.48460) Loss: 0.44640 (0.48460)
2025-08-22,14:38:22 | INFO | Train Epoch: 4 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46799 (0.48455) Loss: 0.46799 (0.48455)
2025-08-22,14:39:32 | INFO | Train Epoch: 4 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50945 (0.48462) Loss: 0.50945 (0.48462)
2025-08-22,14:40:42 | INFO | Train Epoch: 4 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45028 (0.48452) Loss: 0.45028 (0.48452)
2025-08-22,14:41:51 | INFO | Train Epoch: 4 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47558 (0.48449) Loss: 0.47558 (0.48449)
2025-08-22,14:43:01 | INFO | Train Epoch: 4 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51513 (0.48458) Loss: 0.51513 (0.48458)
2025-08-22,14:44:11 | INFO | Train Epoch: 4 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47465 (0.48455) Loss: 0.47465 (0.48455)
2025-08-22,14:45:21 | INFO | Train Epoch: 4 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47580 (0.48453) Loss: 0.47580 (0.48453)
2025-08-22,14:46:31 | INFO | Train Epoch: 4 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55305 (0.48473) Loss: 0.55305 (0.48473)
2025-08-22,14:47:41 | INFO | Train Epoch: 4 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56897 (0.48497) Loss: 0.56897 (0.48497)
2025-08-22,14:48:51 | INFO | Train Epoch: 4 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49951 (0.48501) Loss: 0.49951 (0.48501)
2025-08-22,14:50:01 | INFO | Train Epoch: 4 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42191 (0.48483) Loss: 0.42191 (0.48483)
2025-08-22,14:51:10 | INFO | Train Epoch: 4 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38525 (0.48455) Loss: 0.38525 (0.48455)
2025-08-22,14:52:20 | INFO | Train Epoch: 4 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51341 (0.48463) Loss: 0.51341 (0.48463)
2025-08-22,14:53:30 | INFO | Train Epoch: 4 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39354 (0.48437) Loss: 0.39354 (0.48437)
2025-08-22,14:54:40 | INFO | Train Epoch: 4 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40419 (0.48414) Loss: 0.40419 (0.48414)
2025-08-22,14:55:50 | INFO | Train Epoch: 4 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46584 (0.48409) Loss: 0.46584 (0.48409)
2025-08-22,14:57:00 | INFO | Train Epoch: 4 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51306 (0.48417) Loss: 0.51306 (0.48417)
2025-08-22,14:58:10 | INFO | Train Epoch: 4 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51800 (0.48427) Loss: 0.51800 (0.48427)
2025-08-22,14:59:20 | INFO | Train Epoch: 4 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43222 (0.48412) Loss: 0.43222 (0.48412)
2025-08-22,15:00:29 | INFO | Train Epoch: 4 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54910 (0.48430) Loss: 0.54910 (0.48430)
2025-08-22,15:01:39 | INFO | Train Epoch: 4 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41593 (0.48411) Loss: 0.41593 (0.48411)
2025-08-22,15:02:49 | INFO | Train Epoch: 4 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48520 (0.48411) Loss: 0.48520 (0.48411)
2025-08-22,15:03:59 | INFO | Train Epoch: 4 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45660 (0.48404) Loss: 0.45660 (0.48404)
2025-08-22,15:05:09 | INFO | Train Epoch: 4 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46477 (0.48398) Loss: 0.46477 (0.48398)
2025-08-22,15:06:19 | INFO | Train Epoch: 4 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51997 (0.48408) Loss: 0.51997 (0.48408)
2025-08-22,15:07:29 | INFO | Train Epoch: 4 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49400 (0.48411) Loss: 0.49400 (0.48411)
2025-08-22,15:08:39 | INFO | Train Epoch: 4 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51346 (0.48419) Loss: 0.51346 (0.48419)
2025-08-22,15:09:49 | INFO | Train Epoch: 4 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41187 (0.48399) Loss: 0.41187 (0.48399)
2025-08-22,15:10:59 | INFO | Train Epoch: 4 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49015 (0.48401) Loss: 0.49015 (0.48401)
2025-08-22,15:12:09 | INFO | Train Epoch: 4 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49085 (0.48403) Loss: 0.49085 (0.48403)
2025-08-22,15:13:18 | INFO | Train Epoch: 4 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41325 (0.48384) Loss: 0.41325 (0.48384)
2025-08-22,15:14:29 | INFO | Train Epoch: 4 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43951 (0.48372) Loss: 0.43951 (0.48372)
2025-08-22,15:15:39 | INFO | Train Epoch: 4 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45853 (0.48365) Loss: 0.45853 (0.48365)
2025-08-22,15:16:49 | INFO | Train Epoch: 4 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36950 (0.48334) Loss: 0.36950 (0.48334)
2025-08-22,15:17:59 | INFO | Train Epoch: 4 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53071 (0.48347) Loss: 0.53071 (0.48347)
2025-08-22,15:19:09 | INFO | Train Epoch: 4 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44596 (0.48337) Loss: 0.44596 (0.48337)
2025-08-22,15:20:19 | INFO | Train Epoch: 4 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41129 (0.48317) Loss: 0.41129 (0.48317)
2025-08-22,15:21:29 | INFO | Train Epoch: 4 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44879 (0.48308) Loss: 0.44879 (0.48308)
2025-08-22,15:22:40 | INFO | Train Epoch: 4 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54232 (0.48324) Loss: 0.54232 (0.48324)
2025-08-22,15:23:50 | INFO | Train Epoch: 4 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54992 (0.48342) Loss: 0.54992 (0.48342)
2025-08-22,15:25:00 | INFO | Train Epoch: 4 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52640 (0.48353) Loss: 0.52640 (0.48353)
2025-08-22,15:26:10 | INFO | Train Epoch: 4 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50449 (0.48359) Loss: 0.50449 (0.48359)
2025-08-22,15:27:20 | INFO | Train Epoch: 4 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35847 (0.48326) Loss: 0.35847 (0.48326)
2025-08-22,15:28:30 | INFO | Train Epoch: 4 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44175 (0.48315) Loss: 0.44175 (0.48315)
2025-08-22,15:29:40 | INFO | Train Epoch: 4 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45893 (0.48308) Loss: 0.45893 (0.48308)
2025-08-22,15:30:50 | INFO | Train Epoch: 4 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43485 (0.48296) Loss: 0.43485 (0.48296)
2025-08-22,15:32:00 | INFO | Train Epoch: 4 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40197 (0.48275) Loss: 0.40197 (0.48275)
2025-08-22,15:33:10 | INFO | Train Epoch: 4 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49433 (0.48278) Loss: 0.49433 (0.48278)
2025-08-22,15:34:20 | INFO | Train Epoch: 4 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52479 (0.48289) Loss: 0.52479 (0.48289)
2025-08-22,15:35:30 | INFO | Train Epoch: 4 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46759 (0.48285) Loss: 0.46759 (0.48285)
2025-08-22,15:36:40 | INFO | Train Epoch: 4 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43663 (0.48273) Loss: 0.43663 (0.48273)
2025-08-22,15:37:50 | INFO | Train Epoch: 4 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49896 (0.48277) Loss: 0.49896 (0.48277)
2025-08-22,15:39:00 | INFO | Train Epoch: 4 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50494 (0.48283) Loss: 0.50494 (0.48283)
2025-08-22,15:40:10 | INFO | Train Epoch: 4 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41728 (0.48266) Loss: 0.41728 (0.48266)
2025-08-22,15:41:20 | INFO | Train Epoch: 4 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48706 (0.48267) Loss: 0.48706 (0.48267)
2025-08-22,15:42:30 | INFO | Train Epoch: 4 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49068 (0.48269) Loss: 0.49068 (0.48269)
2025-08-22,15:43:40 | INFO | Train Epoch: 4 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.58639 (0.48295) Loss: 0.58639 (0.48295)
2025-08-22,15:44:50 | INFO | Train Epoch: 4 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34144 (0.48260) Loss: 0.34144 (0.48260)
2025-08-22,15:46:00 | INFO | Train Epoch: 4 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46340 (0.48255) Loss: 0.46340 (0.48255)
2025-08-22,15:47:10 | INFO | Train Epoch: 4 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41618 (0.48238) Loss: 0.41618 (0.48238)
2025-08-22,15:48:20 | INFO | Train Epoch: 4 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45995 (0.48232) Loss: 0.45995 (0.48232)
2025-08-22,15:49:30 | INFO | Train Epoch: 4 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53184 (0.48245) Loss: 0.53184 (0.48245)
2025-08-22,15:50:40 | INFO | Train Epoch: 4 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43043 (0.48232) Loss: 0.43043 (0.48232)
2025-08-22,15:51:50 | INFO | Train Epoch: 4 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40256 (0.48212) Loss: 0.40256 (0.48212)
2025-08-22,15:53:00 | INFO | Train Epoch: 4 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43447 (0.48200) Loss: 0.43447 (0.48200)
2025-08-22,15:54:10 | INFO | Train Epoch: 4 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50613 (0.48206) Loss: 0.50613 (0.48206)
2025-08-22,15:55:20 | INFO | Train Epoch: 4 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50979 (0.48213) Loss: 0.50979 (0.48213)
2025-08-22,15:56:30 | INFO | Train Epoch: 4 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47635 (0.48211) Loss: 0.47635 (0.48211)
2025-08-22,15:57:40 | INFO | Train Epoch: 4 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50969 (0.48218) Loss: 0.50969 (0.48218)
2025-08-22,15:58:50 | INFO | Train Epoch: 4 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46539 (0.48214) Loss: 0.46539 (0.48214)
2025-08-22,16:00:00 | INFO | Train Epoch: 4 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51609 (0.48222) Loss: 0.51609 (0.48222)
2025-08-22,16:01:10 | INFO | Train Epoch: 4 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47260 (0.48220) Loss: 0.47260 (0.48220)
2025-08-22,16:02:20 | INFO | Train Epoch: 4 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44283 (0.48211) Loss: 0.44283 (0.48211)
2025-08-22,16:03:30 | INFO | Train Epoch: 4 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52284 (0.48220) Loss: 0.52284 (0.48220)
2025-08-22,16:04:40 | INFO | Train Epoch: 4 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47913 (0.48220) Loss: 0.47913 (0.48220)
2025-08-22,16:05:50 | INFO | Train Epoch: 4 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47986 (0.48219) Loss: 0.47986 (0.48219)
2025-08-22,16:07:00 | INFO | Train Epoch: 4 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45594 (0.48213) Loss: 0.45594 (0.48213)
2025-08-22,16:08:11 | INFO | Train Epoch: 4 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47254 (0.48210) Loss: 0.47254 (0.48210)
2025-08-22,16:09:21 | INFO | Train Epoch: 4 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51378 (0.48218) Loss: 0.51378 (0.48218)
2025-08-22,16:10:31 | INFO | Train Epoch: 4 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51382 (0.48226) Loss: 0.51382 (0.48226)
2025-08-22,16:11:41 | INFO | Train Epoch: 4 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40238 (0.48207) Loss: 0.40238 (0.48207)
2025-08-22,16:12:51 | INFO | Train Epoch: 4 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45009 (0.48199) Loss: 0.45009 (0.48199)
2025-08-22,16:14:01 | INFO | Train Epoch: 4 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46642 (0.48195) Loss: 0.46642 (0.48195)
2025-08-22,16:15:11 | INFO | Train Epoch: 4 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51086 (0.48202) Loss: 0.51086 (0.48202)
2025-08-22,16:16:21 | INFO | Train Epoch: 4 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44503 (0.48193) Loss: 0.44503 (0.48193)
2025-08-22,16:17:31 | INFO | Train Epoch: 4 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38952 (0.48171) Loss: 0.38952 (0.48171)
2025-08-22,16:18:41 | INFO | Train Epoch: 4 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55149 (0.48188) Loss: 0.55149 (0.48188)
2025-08-22,16:19:51 | INFO | Train Epoch: 4 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36066 (0.48159) Loss: 0.36066 (0.48159)
2025-08-22,16:21:01 | INFO | Train Epoch: 4 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43819 (0.48149) Loss: 0.43819 (0.48149)
2025-08-22,16:22:11 | INFO | Train Epoch: 4 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47381 (0.48147) Loss: 0.47381 (0.48147)
2025-08-22,16:23:21 | INFO | Train Epoch: 4 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40765 (0.48130) Loss: 0.40765 (0.48130)
2025-08-22,16:24:31 | INFO | Train Epoch: 4 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47687 (0.48129) Loss: 0.47687 (0.48129)
2025-08-22,16:25:41 | INFO | Train Epoch: 4 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46236 (0.48125) Loss: 0.46236 (0.48125)
2025-08-22,16:26:52 | INFO | Train Epoch: 4 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51470 (0.48132) Loss: 0.51470 (0.48132)
2025-08-22,16:28:02 | INFO | Train Epoch: 4 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53100 (0.48144) Loss: 0.53100 (0.48144)
2025-08-22,16:29:12 | INFO | Train Epoch: 4 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39543 (0.48124) Loss: 0.39543 (0.48124)
2025-08-22,16:30:22 | INFO | Train Epoch: 4 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41519 (0.48109) Loss: 0.41519 (0.48109)
2025-08-22,16:31:32 | INFO | Train Epoch: 4 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48674 (0.48110) Loss: 0.48674 (0.48110)
2025-08-22,16:32:42 | INFO | Train Epoch: 4 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42675 (0.48098) Loss: 0.42675 (0.48098)
2025-08-22,16:33:52 | INFO | Train Epoch: 4 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47203 (0.48096) Loss: 0.47203 (0.48096)
2025-08-22,16:35:02 | INFO | Train Epoch: 4 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43804 (0.48086) Loss: 0.43804 (0.48086)
2025-08-22,16:36:12 | INFO | Train Epoch: 4 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40962 (0.48070) Loss: 0.40962 (0.48070)
2025-08-22,16:37:22 | INFO | Train Epoch: 4 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48957 (0.48072) Loss: 0.48957 (0.48072)
2025-08-22,16:38:32 | INFO | Train Epoch: 4 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48433 (0.48073) Loss: 0.48433 (0.48073)
2025-08-22,16:39:42 | INFO | Train Epoch: 4 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50345 (0.48078) Loss: 0.50345 (0.48078)
2025-08-22,16:40:52 | INFO | Train Epoch: 4 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41685 (0.48063) Loss: 0.41685 (0.48063)
2025-08-22,16:42:02 | INFO | Train Epoch: 4 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42074 (0.48050) Loss: 0.42074 (0.48050)
2025-08-22,16:43:12 | INFO | Train Epoch: 4 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41985 (0.48036) Loss: 0.41985 (0.48036)
2025-08-22,16:44:22 | INFO | Train Epoch: 4 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44131 (0.48027) Loss: 0.44131 (0.48027)
2025-08-22,16:45:32 | INFO | Train Epoch: 4 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48290 (0.48028) Loss: 0.48290 (0.48028)
2025-08-22,16:46:42 | INFO | Train Epoch: 4 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47145 (0.48026) Loss: 0.47145 (0.48026)
2025-08-22,16:47:52 | INFO | Train Epoch: 4 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48462 (0.48027) Loss: 0.48462 (0.48027)
2025-08-22,16:49:02 | INFO | Train Epoch: 4 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50143 (0.48032) Loss: 0.50143 (0.48032)
2025-08-22,16:50:12 | INFO | Train Epoch: 4 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38261 (0.48010) Loss: 0.38261 (0.48010)
2025-08-22,16:51:22 | INFO | Train Epoch: 4 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35811 (0.47983) Loss: 0.35811 (0.47983)
2025-08-22,16:52:32 | INFO | Train Epoch: 4 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45486 (0.47977) Loss: 0.45486 (0.47977)
2025-08-22,16:53:42 | INFO | Train Epoch: 4 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54859 (0.47993) Loss: 0.54859 (0.47993)
2025-08-22,16:54:52 | INFO | Train Epoch: 4 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45678 (0.47988) Loss: 0.45678 (0.47988)
2025-08-22,16:56:02 | INFO | Train Epoch: 4 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38395 (0.47966) Loss: 0.38395 (0.47966)
2025-08-22,16:57:12 | INFO | Train Epoch: 4 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41585 (0.47953) Loss: 0.41585 (0.47953)
2025-08-22,16:58:22 | INFO | Train Epoch: 4 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44708 (0.47945) Loss: 0.44708 (0.47945)
2025-08-22,16:59:32 | INFO | Train Epoch: 4 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49635 (0.47949) Loss: 0.49635 (0.47949)
2025-08-22,17:00:41 | INFO | Train Epoch: 4 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55185 (0.47965) Loss: 0.55185 (0.47965)
2025-08-22,17:01:51 | INFO | Train Epoch: 4 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51807 (0.47973) Loss: 0.51807 (0.47973)
2025-08-22,17:03:01 | INFO | Train Epoch: 4 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50169 (0.47978) Loss: 0.50169 (0.47978)
2025-08-22,17:04:11 | INFO | Train Epoch: 4 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42554 (0.47966) Loss: 0.42554 (0.47966)
2025-08-22,17:05:21 | INFO | Train Epoch: 4 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47548 (0.47965) Loss: 0.47548 (0.47965)
2025-08-22,17:06:31 | INFO | Train Epoch: 4 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49102 (0.47968) Loss: 0.49102 (0.47968)
2025-08-22,17:07:42 | INFO | Train Epoch: 4 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41327 (0.47954) Loss: 0.41327 (0.47954)
2025-08-22,17:08:52 | INFO | Train Epoch: 4 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45039 (0.47947) Loss: 0.45039 (0.47947)
2025-08-22,17:10:02 | INFO | Train Epoch: 4 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54890 (0.47962) Loss: 0.54890 (0.47962)
2025-08-22,17:11:12 | INFO | Train Epoch: 4 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54778 (0.47977) Loss: 0.54778 (0.47977)
2025-08-22,17:12:22 | INFO | Train Epoch: 4 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40407 (0.47961) Loss: 0.40407 (0.47961)
2025-08-22,17:13:32 | INFO | Train Epoch: 4 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41343 (0.47946) Loss: 0.41343 (0.47946)
2025-08-22,17:14:42 | INFO | Train Epoch: 4 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49401 (0.47950) Loss: 0.49401 (0.47950)
2025-08-22,17:15:52 | INFO | Train Epoch: 4 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.55700 (0.47966) Loss: 0.55700 (0.47966)
2025-08-22,17:17:02 | INFO | Train Epoch: 4 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52392 (0.47975) Loss: 0.52392 (0.47975)
2025-08-22,17:18:12 | INFO | Train Epoch: 4 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44059 (0.47967) Loss: 0.44059 (0.47967)
2025-08-22,17:19:21 | INFO | Train Epoch: 4 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56733 (0.47985) Loss: 0.56733 (0.47985)
2025-08-22,17:20:31 | INFO | Train Epoch: 4 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49673 (0.47989) Loss: 0.49673 (0.47989)
2025-08-22,17:21:41 | INFO | Train Epoch: 4 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44830 (0.47982) Loss: 0.44830 (0.47982)
2025-08-22,17:22:51 | INFO | Train Epoch: 4 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40295 (0.47966) Loss: 0.40295 (0.47966)
2025-08-22,17:24:01 | INFO | Train Epoch: 4 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49189 (0.47969) Loss: 0.49189 (0.47969)
2025-08-22,17:25:11 | INFO | Train Epoch: 4 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46077 (0.47965) Loss: 0.46077 (0.47965)
2025-08-22,17:26:21 | INFO | Train Epoch: 4 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48034 (0.47965) Loss: 0.48034 (0.47965)
2025-08-22,17:27:31 | INFO | Train Epoch: 4 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53135 (0.47976) Loss: 0.53135 (0.47976)
2025-08-22,17:28:41 | INFO | Train Epoch: 4 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48246 (0.47976) Loss: 0.48246 (0.47976)
2025-08-22,17:29:51 | INFO | Train Epoch: 4 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49713 (0.47980) Loss: 0.49713 (0.47980)
2025-08-22,17:31:01 | INFO | Train Epoch: 4 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53270 (0.47991) Loss: 0.53270 (0.47991)
2025-08-22,17:32:11 | INFO | Train Epoch: 4 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49245 (0.47993) Loss: 0.49245 (0.47993)
2025-08-22,17:33:20 | INFO | Train Epoch: 4 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43042 (0.47983) Loss: 0.43042 (0.47983)
2025-08-22,17:34:30 | INFO | Train Epoch: 4 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54687 (0.47997) Loss: 0.54687 (0.47997)
2025-08-22,17:35:40 | INFO | Train Epoch: 4 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51113 (0.48003) Loss: 0.51113 (0.48003)
2025-08-22,17:36:50 | INFO | Train Epoch: 4 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41685 (0.47990) Loss: 0.41685 (0.47990)
2025-08-22,17:38:00 | INFO | Train Epoch: 4 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50785 (0.47996) Loss: 0.50785 (0.47996)
2025-08-22,17:39:10 | INFO | Train Epoch: 4 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39630 (0.47979) Loss: 0.39630 (0.47979)
2025-08-22,17:40:20 | INFO | Train Epoch: 4 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53546 (0.47990) Loss: 0.53546 (0.47990)
2025-08-22,17:41:29 | INFO | Train Epoch: 4 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38271 (0.47971) Loss: 0.38271 (0.47971)
2025-08-22,17:42:39 | INFO | Train Epoch: 4 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51811 (0.47979) Loss: 0.51811 (0.47979)
2025-08-22,17:43:50 | INFO | Train Epoch: 4 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48313 (0.47979) Loss: 0.48313 (0.47979)
2025-08-22,17:45:00 | INFO | Train Epoch: 4 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.54931 (0.47993) Loss: 0.54931 (0.47993)
2025-08-22,17:46:09 | INFO | Train Epoch: 4 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44038 (0.47985) Loss: 0.44038 (0.47985)
2025-08-22,17:47:19 | INFO | Train Epoch: 4 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41592 (0.47972) Loss: 0.41592 (0.47972)
2025-08-22,17:48:30 | INFO | Train Epoch: 4 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48387 (0.47973) Loss: 0.48387 (0.47973)
2025-08-22,17:49:40 | INFO | Train Epoch: 4 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.53882 (0.47985) Loss: 0.53882 (0.47985)
2025-08-22,17:50:50 | INFO | Train Epoch: 4 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44431 (0.47978) Loss: 0.44431 (0.47978)
2025-08-22,17:52:00 | INFO | Train Epoch: 4 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44537 (0.47971) Loss: 0.44537 (0.47971)
2025-08-22,17:53:10 | INFO | Train Epoch: 4 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.56540 (0.47988) Loss: 0.56540 (0.47988)
2025-08-22,17:54:19 | INFO | Train Epoch: 4 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42226 (0.47977) Loss: 0.42226 (0.47977)
2025-08-22,17:55:29 | INFO | Train Epoch: 4 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38978 (0.47959) Loss: 0.38978 (0.47959)
2025-08-22,17:56:39 | INFO | Train Epoch: 4 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.51058 (0.47965) Loss: 0.51058 (0.47965)
2025-08-22,17:57:49 | INFO | Train Epoch: 4 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48064 (0.47965) Loss: 0.48064 (0.47965)
2025-08-22,17:58:59 | INFO | Train Epoch: 4 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43438 (0.47956) Loss: 0.43438 (0.47956)
2025-08-22,18:00:09 | INFO | Train Epoch: 4 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44139 (0.47949) Loss: 0.44139 (0.47949)
2025-08-22,18:01:19 | INFO | Train Epoch: 4 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42597 (0.47939) Loss: 0.42597 (0.47939)
2025-08-22,18:02:29 | INFO | Train Epoch: 4 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49897 (0.47942) Loss: 0.49897 (0.47942)
2025-08-22,18:03:39 | INFO | Train Epoch: 4 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49956 (0.47946) Loss: 0.49956 (0.47946)
2025-08-22,18:04:49 | INFO | Train Epoch: 4 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45640 (0.47942) Loss: 0.45640 (0.47942)
2025-08-22,18:05:55 | INFO | Train Epoch: 4 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40516 (0.47927) Loss: 0.40516 (0.47927)
2025-08-22,18:05:55 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-22,18:05:55 | INFO | [Epoch 4] Average Step Time: 0.704s | Average GPU Memory: 43.4 GB
2025-08-22,18:05:55 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-22,18:05:55 | INFO | Starting zero-shot imagenet.
2025-08-22,18:05:55 | INFO | Building zero-shot classifier
2025-08-22,18:06:04 | INFO | Using classifier
2025-08-22,18:06:46 | INFO | Finished zero-shot imagenet.
2025-08-22,18:06:46 | INFO | Eval Epoch: 5 imagenet-zeroshot-val-top1: 0.2496	imagenet-zeroshot-val-top5: 0.4967
2025-08-22,18:06:48 | INFO | Start epoch 5
2025-08-22,18:06:50 | INFO | Train Epoch: 5 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47005 (0.47005) Loss: 0.47005 (0.47005)
2025-08-22,18:07:59 | INFO | Train Epoch: 5 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47169 (0.47087) Loss: 0.47169 (0.47087)
2025-08-22,18:09:09 | INFO | Train Epoch: 5 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46170 (0.46781) Loss: 0.46170 (0.46781)
2025-08-22,18:10:19 | INFO | Train Epoch: 5 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34018 (0.43590) Loss: 0.34018 (0.43590)
2025-08-22,18:11:29 | INFO | Train Epoch: 5 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48358 (0.44544) Loss: 0.48358 (0.44544)
2025-08-22,18:12:38 | INFO | Train Epoch: 5 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44786 (0.44584) Loss: 0.44786 (0.44584)
2025-08-22,18:13:48 | INFO | Train Epoch: 5 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35853 (0.43337) Loss: 0.35853 (0.43337)
2025-08-22,18:14:58 | INFO | Train Epoch: 5 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43115 (0.43309) Loss: 0.43115 (0.43309)
2025-08-22,18:16:08 | INFO | Train Epoch: 5 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41833 (0.43145) Loss: 0.41833 (0.43145)
2025-08-22,18:17:18 | INFO | Train Epoch: 5 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46119 (0.43443) Loss: 0.46119 (0.43443)
2025-08-22,18:18:28 | INFO | Train Epoch: 5 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43459 (0.43444) Loss: 0.43459 (0.43444)
2025-08-22,18:19:37 | INFO | Train Epoch: 5 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31466 (0.42446) Loss: 0.31466 (0.42446)
2025-08-22,18:20:47 | INFO | Train Epoch: 5 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30446 (0.41523) Loss: 0.30446 (0.41523)
2025-08-22,18:21:57 | INFO | Train Epoch: 5 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47436 (0.41945) Loss: 0.47436 (0.41945)
2025-08-22,18:23:07 | INFO | Train Epoch: 5 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37332 (0.41638) Loss: 0.37332 (0.41638)
2025-08-22,18:24:17 | INFO | Train Epoch: 5 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40945 (0.41594) Loss: 0.40945 (0.41594)
2025-08-22,18:25:26 | INFO | Train Epoch: 5 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36747 (0.41309) Loss: 0.36747 (0.41309)
2025-08-22,18:26:36 | INFO | Train Epoch: 5 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39986 (0.41236) Loss: 0.39986 (0.41236)
2025-08-22,18:27:46 | INFO | Train Epoch: 5 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48874 (0.41638) Loss: 0.48874 (0.41638)
2025-08-22,18:28:56 | INFO | Train Epoch: 5 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34707 (0.41291) Loss: 0.34707 (0.41291)
2025-08-22,18:30:06 | INFO | Train Epoch: 5 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43419 (0.41393) Loss: 0.43419 (0.41393)
2025-08-22,18:31:16 | INFO | Train Epoch: 5 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48371 (0.41710) Loss: 0.48371 (0.41710)
2025-08-22,18:32:25 | INFO | Train Epoch: 5 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42474 (0.41743) Loss: 0.42474 (0.41743)
2025-08-22,18:33:35 | INFO | Train Epoch: 5 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41318 (0.41725) Loss: 0.41318 (0.41725)
2025-08-22,18:34:45 | INFO | Train Epoch: 5 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38369 (0.41591) Loss: 0.38369 (0.41591)
2025-08-22,18:35:55 | INFO | Train Epoch: 5 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38877 (0.41487) Loss: 0.38877 (0.41487)
2025-08-22,18:37:05 | INFO | Train Epoch: 5 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42426 (0.41521) Loss: 0.42426 (0.41521)
2025-08-22,18:38:15 | INFO | Train Epoch: 5 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43961 (0.41609) Loss: 0.43961 (0.41609)
2025-08-22,18:39:25 | INFO | Train Epoch: 5 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36724 (0.41440) Loss: 0.36724 (0.41440)
2025-08-22,18:40:34 | INFO | Train Epoch: 5 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43864 (0.41521) Loss: 0.43864 (0.41521)
2025-08-22,18:41:44 | INFO | Train Epoch: 5 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37561 (0.41393) Loss: 0.37561 (0.41393)
2025-08-22,18:42:54 | INFO | Train Epoch: 5 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43565 (0.41461) Loss: 0.43565 (0.41461)
2025-08-22,18:44:04 | INFO | Train Epoch: 5 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38332 (0.41366) Loss: 0.38332 (0.41366)
2025-08-22,18:45:13 | INFO | Train Epoch: 5 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42540 (0.41401) Loss: 0.42540 (0.41401)
2025-08-22,18:46:23 | INFO | Train Epoch: 5 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37114 (0.41278) Loss: 0.37114 (0.41278)
2025-08-22,18:47:33 | INFO | Train Epoch: 5 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50537 (0.41535) Loss: 0.50537 (0.41535)
2025-08-22,18:48:43 | INFO | Train Epoch: 5 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43720 (0.41594) Loss: 0.43720 (0.41594)
2025-08-22,18:49:52 | INFO | Train Epoch: 5 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34699 (0.41413) Loss: 0.34699 (0.41413)
2025-08-22,18:51:02 | INFO | Train Epoch: 5 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47000 (0.41556) Loss: 0.47000 (0.41556)
2025-08-22,18:52:12 | INFO | Train Epoch: 5 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44717 (0.41635) Loss: 0.44717 (0.41635)
2025-08-22,18:53:22 | INFO | Train Epoch: 5 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41741 (0.41638) Loss: 0.41741 (0.41638)
2025-08-22,18:54:32 | INFO | Train Epoch: 5 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39175 (0.41579) Loss: 0.39175 (0.41579)
2025-08-22,18:55:42 | INFO | Train Epoch: 5 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32332 (0.41364) Loss: 0.32332 (0.41364)
2025-08-22,18:56:51 | INFO | Train Epoch: 5 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38397 (0.41297) Loss: 0.38397 (0.41297)
2025-08-22,18:58:01 | INFO | Train Epoch: 5 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35592 (0.41170) Loss: 0.35592 (0.41170)
2025-08-22,18:59:11 | INFO | Train Epoch: 5 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38025 (0.41102) Loss: 0.38025 (0.41102)
2025-08-22,19:00:21 | INFO | Train Epoch: 5 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42854 (0.41139) Loss: 0.42854 (0.41139)
2025-08-22,19:01:31 | INFO | Train Epoch: 5 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37144 (0.41056) Loss: 0.37144 (0.41056)
2025-08-22,19:02:41 | INFO | Train Epoch: 5 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39252 (0.41019) Loss: 0.39252 (0.41019)
2025-08-22,19:03:50 | INFO | Train Epoch: 5 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40974 (0.41018) Loss: 0.40974 (0.41018)
2025-08-22,19:05:00 | INFO | Train Epoch: 5 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40444 (0.41007) Loss: 0.40444 (0.41007)
2025-08-22,19:06:10 | INFO | Train Epoch: 5 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41243 (0.41011) Loss: 0.41243 (0.41011)
2025-08-22,19:07:20 | INFO | Train Epoch: 5 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42817 (0.41045) Loss: 0.42817 (0.41045)
2025-08-22,19:08:30 | INFO | Train Epoch: 5 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28095 (0.40805) Loss: 0.28095 (0.40805)
2025-08-22,19:09:39 | INFO | Train Epoch: 5 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46182 (0.40903) Loss: 0.46182 (0.40903)
2025-08-22,19:10:49 | INFO | Train Epoch: 5 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45471 (0.40985) Loss: 0.45471 (0.40985)
2025-08-22,19:11:59 | INFO | Train Epoch: 5 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35371 (0.40886) Loss: 0.35371 (0.40886)
2025-08-22,19:13:09 | INFO | Train Epoch: 5 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41726 (0.40901) Loss: 0.41726 (0.40901)
2025-08-22,19:14:19 | INFO | Train Epoch: 5 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40410 (0.40892) Loss: 0.40410 (0.40892)
2025-08-22,19:15:29 | INFO | Train Epoch: 5 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34745 (0.40790) Loss: 0.34745 (0.40790)
2025-08-22,19:16:38 | INFO | Train Epoch: 5 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32052 (0.40647) Loss: 0.32052 (0.40647)
2025-08-22,19:17:48 | INFO | Train Epoch: 5 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40586 (0.40646) Loss: 0.40586 (0.40646)
2025-08-22,19:18:58 | INFO | Train Epoch: 5 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37948 (0.40603) Loss: 0.37948 (0.40603)
2025-08-22,19:20:08 | INFO | Train Epoch: 5 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39731 (0.40589) Loss: 0.39731 (0.40589)
2025-08-22,19:21:17 | INFO | Train Epoch: 5 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45643 (0.40667) Loss: 0.45643 (0.40667)
2025-08-22,19:22:27 | INFO | Train Epoch: 5 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32137 (0.40538) Loss: 0.32137 (0.40538)
2025-08-22,19:23:37 | INFO | Train Epoch: 5 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39604 (0.40524) Loss: 0.39604 (0.40524)
2025-08-22,19:24:47 | INFO | Train Epoch: 5 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31559 (0.40392) Loss: 0.31559 (0.40392)
2025-08-22,19:25:57 | INFO | Train Epoch: 5 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41768 (0.40412) Loss: 0.41768 (0.40412)
2025-08-22,19:27:06 | INFO | Train Epoch: 5 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42197 (0.40438) Loss: 0.42197 (0.40438)
2025-08-22,19:28:16 | INFO | Train Epoch: 5 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36574 (0.40383) Loss: 0.36574 (0.40383)
2025-08-22,19:29:26 | INFO | Train Epoch: 5 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45117 (0.40449) Loss: 0.45117 (0.40449)
2025-08-22,19:30:36 | INFO | Train Epoch: 5 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37177 (0.40404) Loss: 0.37177 (0.40404)
2025-08-22,19:31:46 | INFO | Train Epoch: 5 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31618 (0.40285) Loss: 0.31618 (0.40285)
2025-08-22,19:32:55 | INFO | Train Epoch: 5 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46976 (0.40375) Loss: 0.46976 (0.40375)
2025-08-22,19:34:05 | INFO | Train Epoch: 5 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36889 (0.40329) Loss: 0.36889 (0.40329)
2025-08-22,19:35:15 | INFO | Train Epoch: 5 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36360 (0.40277) Loss: 0.36360 (0.40277)
2025-08-22,19:36:25 | INFO | Train Epoch: 5 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36012 (0.40222) Loss: 0.36012 (0.40222)
2025-08-22,19:37:35 | INFO | Train Epoch: 5 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42132 (0.40247) Loss: 0.42132 (0.40247)
2025-08-22,19:38:45 | INFO | Train Epoch: 5 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42846 (0.40279) Loss: 0.42846 (0.40279)
2025-08-22,19:39:54 | INFO | Train Epoch: 5 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43678 (0.40321) Loss: 0.43678 (0.40321)
2025-08-22,19:41:04 | INFO | Train Epoch: 5 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36508 (0.40275) Loss: 0.36508 (0.40275)
2025-08-22,19:42:14 | INFO | Train Epoch: 5 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40541 (0.40278) Loss: 0.40541 (0.40278)
2025-08-22,19:43:24 | INFO | Train Epoch: 5 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48014 (0.40370) Loss: 0.48014 (0.40370)
2025-08-22,19:44:34 | INFO | Train Epoch: 5 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32676 (0.40279) Loss: 0.32676 (0.40279)
2025-08-22,19:45:43 | INFO | Train Epoch: 5 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46391 (0.40350) Loss: 0.46391 (0.40350)
2025-08-22,19:46:53 | INFO | Train Epoch: 5 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37091 (0.40313) Loss: 0.37091 (0.40313)
2025-08-22,19:48:03 | INFO | Train Epoch: 5 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37661 (0.40283) Loss: 0.37661 (0.40283)
2025-08-22,19:49:13 | INFO | Train Epoch: 5 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35654 (0.40231) Loss: 0.35654 (0.40231)
2025-08-22,19:50:23 | INFO | Train Epoch: 5 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47175 (0.40308) Loss: 0.47175 (0.40308)
2025-08-22,19:51:33 | INFO | Train Epoch: 5 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32359 (0.40221) Loss: 0.32359 (0.40221)
2025-08-22,19:52:43 | INFO | Train Epoch: 5 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46161 (0.40285) Loss: 0.46161 (0.40285)
2025-08-22,19:53:53 | INFO | Train Epoch: 5 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36058 (0.40240) Loss: 0.36058 (0.40240)
2025-08-22,19:55:02 | INFO | Train Epoch: 5 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45045 (0.40291) Loss: 0.45045 (0.40291)
2025-08-22,19:56:12 | INFO | Train Epoch: 5 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34681 (0.40232) Loss: 0.34681 (0.40232)
2025-08-22,19:57:22 | INFO | Train Epoch: 5 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34557 (0.40173) Loss: 0.34557 (0.40173)
2025-08-22,19:58:32 | INFO | Train Epoch: 5 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39922 (0.40170) Loss: 0.39922 (0.40170)
2025-08-22,19:59:42 | INFO | Train Epoch: 5 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39817 (0.40166) Loss: 0.39817 (0.40166)
2025-08-22,20:00:52 | INFO | Train Epoch: 5 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37998 (0.40145) Loss: 0.37998 (0.40145)
2025-08-22,20:02:02 | INFO | Train Epoch: 5 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38002 (0.40123) Loss: 0.38002 (0.40123)
2025-08-22,20:03:12 | INFO | Train Epoch: 5 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34319 (0.40066) Loss: 0.34319 (0.40066)
2025-08-22,20:04:22 | INFO | Train Epoch: 5 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39383 (0.40059) Loss: 0.39383 (0.40059)
2025-08-22,20:05:31 | INFO | Train Epoch: 5 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42126 (0.40079) Loss: 0.42126 (0.40079)
2025-08-22,20:06:41 | INFO | Train Epoch: 5 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36922 (0.40049) Loss: 0.36922 (0.40049)
2025-08-22,20:07:51 | INFO | Train Epoch: 5 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34733 (0.39998) Loss: 0.34733 (0.39998)
2025-08-22,20:09:01 | INFO | Train Epoch: 5 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33635 (0.39938) Loss: 0.33635 (0.39938)
2025-08-22,20:10:11 | INFO | Train Epoch: 5 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32211 (0.39866) Loss: 0.32211 (0.39866)
2025-08-22,20:11:21 | INFO | Train Epoch: 5 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36411 (0.39834) Loss: 0.36411 (0.39834)
2025-08-22,20:12:31 | INFO | Train Epoch: 5 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38728 (0.39824) Loss: 0.38728 (0.39824)
2025-08-22,20:13:41 | INFO | Train Epoch: 5 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42560 (0.39849) Loss: 0.42560 (0.39849)
2025-08-22,20:14:51 | INFO | Train Epoch: 5 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37953 (0.39831) Loss: 0.37953 (0.39831)
2025-08-22,20:16:00 | INFO | Train Epoch: 5 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49364 (0.39917) Loss: 0.49364 (0.39917)
2025-08-22,20:17:10 | INFO | Train Epoch: 5 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34471 (0.39868) Loss: 0.34471 (0.39868)
2025-08-22,20:18:20 | INFO | Train Epoch: 5 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31181 (0.39792) Loss: 0.31181 (0.39792)
2025-08-22,20:19:30 | INFO | Train Epoch: 5 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41298 (0.39805) Loss: 0.41298 (0.39805)
2025-08-22,20:20:40 | INFO | Train Epoch: 5 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43925 (0.39841) Loss: 0.43925 (0.39841)
2025-08-22,20:21:50 | INFO | Train Epoch: 5 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44298 (0.39879) Loss: 0.44298 (0.39879)
2025-08-22,20:23:00 | INFO | Train Epoch: 5 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37462 (0.39858) Loss: 0.37462 (0.39858)
2025-08-22,20:24:09 | INFO | Train Epoch: 5 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38298 (0.39845) Loss: 0.38298 (0.39845)
2025-08-22,20:25:19 | INFO | Train Epoch: 5 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39692 (0.39844) Loss: 0.39692 (0.39844)
2025-08-22,20:26:29 | INFO | Train Epoch: 5 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47129 (0.39904) Loss: 0.47129 (0.39904)
2025-08-22,20:27:39 | INFO | Train Epoch: 5 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35543 (0.39869) Loss: 0.35543 (0.39869)
2025-08-22,20:28:49 | INFO | Train Epoch: 5 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37126 (0.39846) Loss: 0.37126 (0.39846)
2025-08-22,20:29:59 | INFO | Train Epoch: 5 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38815 (0.39838) Loss: 0.38815 (0.39838)
2025-08-22,20:31:09 | INFO | Train Epoch: 5 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38596 (0.39828) Loss: 0.38596 (0.39828)
2025-08-22,20:32:19 | INFO | Train Epoch: 5 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36909 (0.39805) Loss: 0.36909 (0.39805)
2025-08-22,20:33:29 | INFO | Train Epoch: 5 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35591 (0.39772) Loss: 0.35591 (0.39772)
2025-08-22,20:34:39 | INFO | Train Epoch: 5 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45618 (0.39817) Loss: 0.45618 (0.39817)
2025-08-22,20:35:49 | INFO | Train Epoch: 5 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37683 (0.39801) Loss: 0.37683 (0.39801)
2025-08-22,20:36:59 | INFO | Train Epoch: 5 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43370 (0.39828) Loss: 0.43370 (0.39828)
2025-08-22,20:38:09 | INFO | Train Epoch: 5 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45312 (0.39870) Loss: 0.45312 (0.39870)
2025-08-22,20:39:19 | INFO | Train Epoch: 5 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46333 (0.39919) Loss: 0.46333 (0.39919)
2025-08-22,20:40:29 | INFO | Train Epoch: 5 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45743 (0.39963) Loss: 0.45743 (0.39963)
2025-08-22,20:41:38 | INFO | Train Epoch: 5 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37528 (0.39945) Loss: 0.37528 (0.39945)
2025-08-22,20:42:48 | INFO | Train Epoch: 5 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42074 (0.39960) Loss: 0.42074 (0.39960)
2025-08-22,20:43:58 | INFO | Train Epoch: 5 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44468 (0.39994) Loss: 0.44468 (0.39994)
2025-08-22,20:45:08 | INFO | Train Epoch: 5 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43979 (0.40023) Loss: 0.43979 (0.40023)
2025-08-22,20:46:18 | INFO | Train Epoch: 5 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33134 (0.39973) Loss: 0.33134 (0.39973)
2025-08-22,20:47:28 | INFO | Train Epoch: 5 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37222 (0.39953) Loss: 0.37222 (0.39953)
2025-08-22,20:48:38 | INFO | Train Epoch: 5 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41945 (0.39967) Loss: 0.41945 (0.39967)
2025-08-22,20:49:48 | INFO | Train Epoch: 5 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45653 (0.40008) Loss: 0.45653 (0.40008)
2025-08-22,20:50:58 | INFO | Train Epoch: 5 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37011 (0.39986) Loss: 0.37011 (0.39986)
2025-08-22,20:52:08 | INFO | Train Epoch: 5 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39541 (0.39983) Loss: 0.39541 (0.39983)
2025-08-22,20:53:18 | INFO | Train Epoch: 5 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44491 (0.40015) Loss: 0.44491 (0.40015)
2025-08-22,20:54:28 | INFO | Train Epoch: 5 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42238 (0.40030) Loss: 0.42238 (0.40030)
2025-08-22,20:55:38 | INFO | Train Epoch: 5 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39710 (0.40028) Loss: 0.39710 (0.40028)
2025-08-22,20:56:48 | INFO | Train Epoch: 5 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47208 (0.40077) Loss: 0.47208 (0.40077)
2025-08-22,20:57:58 | INFO | Train Epoch: 5 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40562 (0.40080) Loss: 0.40562 (0.40080)
2025-08-22,20:59:08 | INFO | Train Epoch: 5 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41024 (0.40086) Loss: 0.41024 (0.40086)
2025-08-22,21:00:17 | INFO | Train Epoch: 5 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40440 (0.40089) Loss: 0.40440 (0.40089)
2025-08-22,21:01:27 | INFO | Train Epoch: 5 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36634 (0.40066) Loss: 0.36634 (0.40066)
2025-08-22,21:02:37 | INFO | Train Epoch: 5 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39257 (0.40060) Loss: 0.39257 (0.40060)
2025-08-22,21:03:47 | INFO | Train Epoch: 5 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47677 (0.40110) Loss: 0.47677 (0.40110)
2025-08-22,21:04:57 | INFO | Train Epoch: 5 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36349 (0.40086) Loss: 0.36349 (0.40086)
2025-08-22,21:06:07 | INFO | Train Epoch: 5 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35978 (0.40059) Loss: 0.35978 (0.40059)
2025-08-22,21:07:17 | INFO | Train Epoch: 5 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40983 (0.40065) Loss: 0.40983 (0.40065)
2025-08-22,21:08:27 | INFO | Train Epoch: 5 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37464 (0.40049) Loss: 0.37464 (0.40049)
2025-08-22,21:09:37 | INFO | Train Epoch: 5 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37340 (0.40031) Loss: 0.37340 (0.40031)
2025-08-22,21:10:47 | INFO | Train Epoch: 5 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40159 (0.40032) Loss: 0.40159 (0.40032)
2025-08-22,21:11:57 | INFO | Train Epoch: 5 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41561 (0.40042) Loss: 0.41561 (0.40042)
2025-08-22,21:13:07 | INFO | Train Epoch: 5 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38967 (0.40035) Loss: 0.38967 (0.40035)
2025-08-22,21:14:16 | INFO | Train Epoch: 5 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38466 (0.40025) Loss: 0.38466 (0.40025)
2025-08-22,21:15:26 | INFO | Train Epoch: 5 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39141 (0.40020) Loss: 0.39141 (0.40020)
2025-08-22,21:16:36 | INFO | Train Epoch: 5 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35731 (0.39994) Loss: 0.35731 (0.39994)
2025-08-22,21:17:46 | INFO | Train Epoch: 5 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33666 (0.39955) Loss: 0.33666 (0.39955)
2025-08-22,21:18:56 | INFO | Train Epoch: 5 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31522 (0.39905) Loss: 0.31522 (0.39905)
2025-08-22,21:20:06 | INFO | Train Epoch: 5 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37576 (0.39891) Loss: 0.37576 (0.39891)
2025-08-22,21:21:16 | INFO | Train Epoch: 5 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40029 (0.39892) Loss: 0.40029 (0.39892)
2025-08-22,21:22:26 | INFO | Train Epoch: 5 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43095 (0.39911) Loss: 0.43095 (0.39911)
2025-08-22,21:23:36 | INFO | Train Epoch: 5 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41871 (0.39922) Loss: 0.41871 (0.39922)
2025-08-22,21:24:46 | INFO | Train Epoch: 5 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38675 (0.39915) Loss: 0.38675 (0.39915)
2025-08-22,21:25:56 | INFO | Train Epoch: 5 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33558 (0.39878) Loss: 0.33558 (0.39878)
2025-08-22,21:27:06 | INFO | Train Epoch: 5 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41246 (0.39886) Loss: 0.41246 (0.39886)
2025-08-22,21:28:16 | INFO | Train Epoch: 5 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41104 (0.39893) Loss: 0.41104 (0.39893)
2025-08-22,21:29:26 | INFO | Train Epoch: 5 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32686 (0.39852) Loss: 0.32686 (0.39852)
2025-08-22,21:30:36 | INFO | Train Epoch: 5 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37632 (0.39839) Loss: 0.37632 (0.39839)
2025-08-22,21:31:45 | INFO | Train Epoch: 5 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48042 (0.39885) Loss: 0.48042 (0.39885)
2025-08-22,21:32:55 | INFO | Train Epoch: 5 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41532 (0.39895) Loss: 0.41532 (0.39895)
2025-08-22,21:34:05 | INFO | Train Epoch: 5 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43154 (0.39913) Loss: 0.43154 (0.39913)
2025-08-22,21:35:15 | INFO | Train Epoch: 5 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42978 (0.39930) Loss: 0.42978 (0.39930)
2025-08-22,21:36:25 | INFO | Train Epoch: 5 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34122 (0.39898) Loss: 0.34122 (0.39898)
2025-08-22,21:37:35 | INFO | Train Epoch: 5 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42044 (0.39909) Loss: 0.42044 (0.39909)
2025-08-22,21:38:45 | INFO | Train Epoch: 5 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37879 (0.39898) Loss: 0.37879 (0.39898)
2025-08-22,21:39:55 | INFO | Train Epoch: 5 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36304 (0.39879) Loss: 0.36304 (0.39879)
2025-08-22,21:41:05 | INFO | Train Epoch: 5 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45511 (0.39909) Loss: 0.45511 (0.39909)
2025-08-22,21:42:15 | INFO | Train Epoch: 5 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39028 (0.39905) Loss: 0.39028 (0.39905)
2025-08-22,21:43:25 | INFO | Train Epoch: 5 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40945 (0.39910) Loss: 0.40945 (0.39910)
2025-08-22,21:44:35 | INFO | Train Epoch: 5 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28530 (0.39850) Loss: 0.28530 (0.39850)
2025-08-22,21:45:45 | INFO | Train Epoch: 5 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38669 (0.39843) Loss: 0.38669 (0.39843)
2025-08-22,21:46:55 | INFO | Train Epoch: 5 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41052 (0.39850) Loss: 0.41052 (0.39850)
2025-08-22,21:48:05 | INFO | Train Epoch: 5 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40489 (0.39853) Loss: 0.40489 (0.39853)
2025-08-22,21:49:15 | INFO | Train Epoch: 5 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25928 (0.39781) Loss: 0.25928 (0.39781)
2025-08-22,21:50:25 | INFO | Train Epoch: 5 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36027 (0.39761) Loss: 0.36027 (0.39761)
2025-08-22,21:51:35 | INFO | Train Epoch: 5 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43115 (0.39778) Loss: 0.43115 (0.39778)
2025-08-22,21:52:45 | INFO | Train Epoch: 5 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40153 (0.39780) Loss: 0.40153 (0.39780)
2025-08-22,21:53:55 | INFO | Train Epoch: 5 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34202 (0.39752) Loss: 0.34202 (0.39752)
2025-08-22,21:55:05 | INFO | Train Epoch: 5 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45376 (0.39780) Loss: 0.45376 (0.39780)
2025-08-22,21:56:15 | INFO | Train Epoch: 5 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36872 (0.39766) Loss: 0.36872 (0.39766)
2025-08-22,21:57:25 | INFO | Train Epoch: 5 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43279 (0.39783) Loss: 0.43279 (0.39783)
2025-08-22,21:58:35 | INFO | Train Epoch: 5 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36227 (0.39766) Loss: 0.36227 (0.39766)
2025-08-22,21:59:45 | INFO | Train Epoch: 5 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33236 (0.39733) Loss: 0.33236 (0.39733)
2025-08-22,22:00:55 | INFO | Train Epoch: 5 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32253 (0.39696) Loss: 0.32253 (0.39696)
2025-08-22,22:02:05 | INFO | Train Epoch: 5 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36997 (0.39683) Loss: 0.36997 (0.39683)
2025-08-22,22:03:14 | INFO | Train Epoch: 5 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38022 (0.39675) Loss: 0.38022 (0.39675)
2025-08-22,22:04:24 | INFO | Train Epoch: 5 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46174 (0.39706) Loss: 0.46174 (0.39706)
2025-08-22,22:05:34 | INFO | Train Epoch: 5 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43718 (0.39726) Loss: 0.43718 (0.39726)
2025-08-22,22:06:44 | INFO | Train Epoch: 5 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29370 (0.39676) Loss: 0.29370 (0.39676)
2025-08-22,22:07:55 | INFO | Train Epoch: 5 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41352 (0.39684) Loss: 0.41352 (0.39684)
2025-08-22,22:09:04 | INFO | Train Epoch: 5 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46766 (0.39718) Loss: 0.46766 (0.39718)
2025-08-22,22:10:14 | INFO | Train Epoch: 5 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35593 (0.39698) Loss: 0.35593 (0.39698)
2025-08-22,22:11:24 | INFO | Train Epoch: 5 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42449 (0.39711) Loss: 0.42449 (0.39711)
2025-08-22,22:12:34 | INFO | Train Epoch: 5 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45704 (0.39739) Loss: 0.45704 (0.39739)
2025-08-22,22:13:44 | INFO | Train Epoch: 5 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37136 (0.39727) Loss: 0.37136 (0.39727)
2025-08-22,22:14:54 | INFO | Train Epoch: 5 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39119 (0.39724) Loss: 0.39119 (0.39724)
2025-08-22,22:16:04 | INFO | Train Epoch: 5 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39701 (0.39724) Loss: 0.39701 (0.39724)
2025-08-22,22:17:14 | INFO | Train Epoch: 5 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36069 (0.39707) Loss: 0.36069 (0.39707)
2025-08-22,22:18:24 | INFO | Train Epoch: 5 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38289 (0.39701) Loss: 0.38289 (0.39701)
2025-08-22,22:19:34 | INFO | Train Epoch: 5 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41549 (0.39709) Loss: 0.41549 (0.39709)
2025-08-22,22:20:43 | INFO | Train Epoch: 5 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37261 (0.39698) Loss: 0.37261 (0.39698)
2025-08-22,22:21:53 | INFO | Train Epoch: 5 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38679 (0.39693) Loss: 0.38679 (0.39693)
2025-08-22,22:23:03 | INFO | Train Epoch: 5 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39561 (0.39693) Loss: 0.39561 (0.39693)
2025-08-22,22:24:13 | INFO | Train Epoch: 5 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41549 (0.39701) Loss: 0.41549 (0.39701)
2025-08-22,22:25:23 | INFO | Train Epoch: 5 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38764 (0.39697) Loss: 0.38764 (0.39697)
2025-08-22,22:26:33 | INFO | Train Epoch: 5 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36947 (0.39685) Loss: 0.36947 (0.39685)
2025-08-22,22:27:43 | INFO | Train Epoch: 5 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37301 (0.39674) Loss: 0.37301 (0.39674)
2025-08-22,22:28:52 | INFO | Train Epoch: 5 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46592 (0.39705) Loss: 0.46592 (0.39705)
2025-08-22,22:30:02 | INFO | Train Epoch: 5 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31917 (0.39670) Loss: 0.31917 (0.39670)
2025-08-22,22:31:12 | INFO | Train Epoch: 5 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40430 (0.39674) Loss: 0.40430 (0.39674)
2025-08-22,22:32:22 | INFO | Train Epoch: 5 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49600 (0.39717) Loss: 0.49600 (0.39717)
2025-08-22,22:33:32 | INFO | Train Epoch: 5 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41026 (0.39723) Loss: 0.41026 (0.39723)
2025-08-22,22:34:42 | INFO | Train Epoch: 5 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37146 (0.39712) Loss: 0.37146 (0.39712)
2025-08-22,22:35:52 | INFO | Train Epoch: 5 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39951 (0.39713) Loss: 0.39951 (0.39713)
2025-08-22,22:37:02 | INFO | Train Epoch: 5 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38365 (0.39707) Loss: 0.38365 (0.39707)
2025-08-22,22:38:12 | INFO | Train Epoch: 5 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41901 (0.39716) Loss: 0.41901 (0.39716)
2025-08-22,22:39:22 | INFO | Train Epoch: 5 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29350 (0.39672) Loss: 0.29350 (0.39672)
2025-08-22,22:40:32 | INFO | Train Epoch: 5 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36406 (0.39658) Loss: 0.36406 (0.39658)
2025-08-22,22:41:42 | INFO | Train Epoch: 5 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39589 (0.39658) Loss: 0.39589 (0.39658)
2025-08-22,22:42:52 | INFO | Train Epoch: 5 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33109 (0.39630) Loss: 0.33109 (0.39630)
2025-08-22,22:44:02 | INFO | Train Epoch: 5 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36954 (0.39619) Loss: 0.36954 (0.39619)
2025-08-22,22:45:12 | INFO | Train Epoch: 5 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37845 (0.39612) Loss: 0.37845 (0.39612)
2025-08-22,22:46:22 | INFO | Train Epoch: 5 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41453 (0.39620) Loss: 0.41453 (0.39620)
2025-08-22,22:47:32 | INFO | Train Epoch: 5 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40059 (0.39621) Loss: 0.40059 (0.39621)
2025-08-22,22:48:42 | INFO | Train Epoch: 5 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41206 (0.39628) Loss: 0.41206 (0.39628)
2025-08-22,22:49:52 | INFO | Train Epoch: 5 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35648 (0.39612) Loss: 0.35648 (0.39612)
2025-08-22,22:51:02 | INFO | Train Epoch: 5 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39884 (0.39613) Loss: 0.39884 (0.39613)
2025-08-22,22:52:12 | INFO | Train Epoch: 5 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41799 (0.39622) Loss: 0.41799 (0.39622)
2025-08-22,22:53:21 | INFO | Train Epoch: 5 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43112 (0.39636) Loss: 0.43112 (0.39636)
2025-08-22,22:54:31 | INFO | Train Epoch: 5 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37772 (0.39628) Loss: 0.37772 (0.39628)
2025-08-22,22:55:41 | INFO | Train Epoch: 5 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49671 (0.39668) Loss: 0.49671 (0.39668)
2025-08-22,22:56:51 | INFO | Train Epoch: 5 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39834 (0.39669) Loss: 0.39834 (0.39669)
2025-08-22,22:58:01 | INFO | Train Epoch: 5 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38798 (0.39666) Loss: 0.38798 (0.39666)
2025-08-22,22:59:11 | INFO | Train Epoch: 5 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38992 (0.39663) Loss: 0.38992 (0.39663)
2025-08-22,23:00:21 | INFO | Train Epoch: 5 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40123 (0.39665) Loss: 0.40123 (0.39665)
2025-08-22,23:01:31 | INFO | Train Epoch: 5 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41313 (0.39671) Loss: 0.41313 (0.39671)
2025-08-22,23:02:42 | INFO | Train Epoch: 5 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41858 (0.39680) Loss: 0.41858 (0.39680)
2025-08-22,23:03:52 | INFO | Train Epoch: 5 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44678 (0.39699) Loss: 0.44678 (0.39699)
2025-08-22,23:05:02 | INFO | Train Epoch: 5 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34215 (0.39678) Loss: 0.34215 (0.39678)
2025-08-22,23:06:12 | INFO | Train Epoch: 5 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47266 (0.39707) Loss: 0.47266 (0.39707)
2025-08-22,23:07:22 | INFO | Train Epoch: 5 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37365 (0.39698) Loss: 0.37365 (0.39698)
2025-08-22,23:08:32 | INFO | Train Epoch: 5 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36224 (0.39685) Loss: 0.36224 (0.39685)
2025-08-22,23:09:42 | INFO | Train Epoch: 5 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45255 (0.39706) Loss: 0.45255 (0.39706)
2025-08-22,23:10:52 | INFO | Train Epoch: 5 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32176 (0.39678) Loss: 0.32176 (0.39678)
2025-08-22,23:12:02 | INFO | Train Epoch: 5 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36347 (0.39665) Loss: 0.36347 (0.39665)
2025-08-22,23:13:12 | INFO | Train Epoch: 5 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37561 (0.39657) Loss: 0.37561 (0.39657)
2025-08-22,23:14:22 | INFO | Train Epoch: 5 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33777 (0.39635) Loss: 0.33777 (0.39635)
2025-08-22,23:15:32 | INFO | Train Epoch: 5 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39607 (0.39635) Loss: 0.39607 (0.39635)
2025-08-22,23:16:42 | INFO | Train Epoch: 5 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36632 (0.39624) Loss: 0.36632 (0.39624)
2025-08-22,23:17:52 | INFO | Train Epoch: 5 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48176 (0.39655) Loss: 0.48176 (0.39655)
2025-08-22,23:19:02 | INFO | Train Epoch: 5 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52255 (0.39702) Loss: 0.52255 (0.39702)
2025-08-22,23:20:12 | INFO | Train Epoch: 5 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44737 (0.39721) Loss: 0.44737 (0.39721)
2025-08-22,23:21:21 | INFO | Train Epoch: 5 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39688 (0.39721) Loss: 0.39688 (0.39721)
2025-08-22,23:22:31 | INFO | Train Epoch: 5 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31164 (0.39689) Loss: 0.31164 (0.39689)
2025-08-22,23:23:41 | INFO | Train Epoch: 5 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37033 (0.39680) Loss: 0.37033 (0.39680)
2025-08-22,23:24:52 | INFO | Train Epoch: 5 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35604 (0.39665) Loss: 0.35604 (0.39665)
2025-08-22,23:26:02 | INFO | Train Epoch: 5 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35913 (0.39651) Loss: 0.35913 (0.39651)
2025-08-22,23:27:12 | INFO | Train Epoch: 5 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40065 (0.39653) Loss: 0.40065 (0.39653)
2025-08-22,23:28:22 | INFO | Train Epoch: 5 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43292 (0.39666) Loss: 0.43292 (0.39666)
2025-08-22,23:29:32 | INFO | Train Epoch: 5 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46995 (0.39692) Loss: 0.46995 (0.39692)
2025-08-22,23:30:42 | INFO | Train Epoch: 5 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41400 (0.39698) Loss: 0.41400 (0.39698)
2025-08-22,23:31:52 | INFO | Train Epoch: 5 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45458 (0.39719) Loss: 0.45458 (0.39719)
2025-08-22,23:33:02 | INFO | Train Epoch: 5 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44866 (0.39737) Loss: 0.44866 (0.39737)
2025-08-22,23:34:12 | INFO | Train Epoch: 5 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34358 (0.39718) Loss: 0.34358 (0.39718)
2025-08-22,23:35:22 | INFO | Train Epoch: 5 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41929 (0.39726) Loss: 0.41929 (0.39726)
2025-08-22,23:36:32 | INFO | Train Epoch: 5 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42516 (0.39736) Loss: 0.42516 (0.39736)
2025-08-22,23:37:42 | INFO | Train Epoch: 5 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44832 (0.39754) Loss: 0.44832 (0.39754)
2025-08-22,23:38:52 | INFO | Train Epoch: 5 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44053 (0.39769) Loss: 0.44053 (0.39769)
2025-08-22,23:40:02 | INFO | Train Epoch: 5 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41697 (0.39775) Loss: 0.41697 (0.39775)
2025-08-22,23:41:12 | INFO | Train Epoch: 5 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36450 (0.39764) Loss: 0.36450 (0.39764)
2025-08-22,23:42:22 | INFO | Train Epoch: 5 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45414 (0.39783) Loss: 0.45414 (0.39783)
2025-08-22,23:43:32 | INFO | Train Epoch: 5 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45990 (0.39805) Loss: 0.45990 (0.39805)
2025-08-22,23:44:42 | INFO | Train Epoch: 5 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32759 (0.39780) Loss: 0.32759 (0.39780)
2025-08-22,23:45:52 | INFO | Train Epoch: 5 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32533 (0.39756) Loss: 0.32533 (0.39756)
2025-08-22,23:47:02 | INFO | Train Epoch: 5 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42070 (0.39764) Loss: 0.42070 (0.39764)
2025-08-22,23:48:12 | INFO | Train Epoch: 5 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32497 (0.39739) Loss: 0.32497 (0.39739)
2025-08-22,23:49:22 | INFO | Train Epoch: 5 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29483 (0.39704) Loss: 0.29483 (0.39704)
2025-08-22,23:50:32 | INFO | Train Epoch: 5 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39393 (0.39703) Loss: 0.39393 (0.39703)
2025-08-22,23:51:42 | INFO | Train Epoch: 5 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41588 (0.39709) Loss: 0.41588 (0.39709)
2025-08-22,23:52:52 | INFO | Train Epoch: 5 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38898 (0.39707) Loss: 0.38898 (0.39707)
2025-08-22,23:54:02 | INFO | Train Epoch: 5 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41631 (0.39713) Loss: 0.41631 (0.39713)
2025-08-22,23:55:12 | INFO | Train Epoch: 5 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45893 (0.39734) Loss: 0.45893 (0.39734)
2025-08-22,23:56:22 | INFO | Train Epoch: 5 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.57326 (0.39792) Loss: 0.57326 (0.39792)
2025-08-22,23:57:32 | INFO | Train Epoch: 5 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49869 (0.39826) Loss: 0.49869 (0.39826)
2025-08-22,23:58:42 | INFO | Train Epoch: 5 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49254 (0.39857) Loss: 0.49254 (0.39857)
2025-08-22,23:59:52 | INFO | Train Epoch: 5 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.52709 (0.39899) Loss: 0.52709 (0.39899)
2025-08-23,00:01:02 | INFO | Train Epoch: 5 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41747 (0.39905) Loss: 0.41747 (0.39905)
2025-08-23,00:02:12 | INFO | Train Epoch: 5 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43046 (0.39915) Loss: 0.43046 (0.39915)
2025-08-23,00:03:22 | INFO | Train Epoch: 5 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34676 (0.39898) Loss: 0.34676 (0.39898)
2025-08-23,00:04:32 | INFO | Train Epoch: 5 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39870 (0.39898) Loss: 0.39870 (0.39898)
2025-08-23,00:05:42 | INFO | Train Epoch: 5 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38787 (0.39894) Loss: 0.38787 (0.39894)
2025-08-23,00:06:52 | INFO | Train Epoch: 5 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41984 (0.39901) Loss: 0.41984 (0.39901)
2025-08-23,00:08:02 | INFO | Train Epoch: 5 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40395 (0.39903) Loss: 0.40395 (0.39903)
2025-08-23,00:09:12 | INFO | Train Epoch: 5 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37927 (0.39896) Loss: 0.37927 (0.39896)
2025-08-23,00:10:22 | INFO | Train Epoch: 5 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45938 (0.39916) Loss: 0.45938 (0.39916)
2025-08-23,00:11:32 | INFO | Train Epoch: 5 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34939 (0.39900) Loss: 0.34939 (0.39900)
2025-08-23,00:12:42 | INFO | Train Epoch: 5 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43484 (0.39911) Loss: 0.43484 (0.39911)
2025-08-23,00:13:52 | INFO | Train Epoch: 5 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42905 (0.39921) Loss: 0.42905 (0.39921)
2025-08-23,00:15:02 | INFO | Train Epoch: 5 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45009 (0.39937) Loss: 0.45009 (0.39937)
2025-08-23,00:16:12 | INFO | Train Epoch: 5 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38170 (0.39931) Loss: 0.38170 (0.39931)
2025-08-23,00:17:22 | INFO | Train Epoch: 5 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44498 (0.39946) Loss: 0.44498 (0.39946)
2025-08-23,00:18:32 | INFO | Train Epoch: 5 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40898 (0.39949) Loss: 0.40898 (0.39949)
2025-08-23,00:19:42 | INFO | Train Epoch: 5 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33726 (0.39929) Loss: 0.33726 (0.39929)
2025-08-23,00:20:52 | INFO | Train Epoch: 5 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38834 (0.39926) Loss: 0.38834 (0.39926)
2025-08-23,00:22:02 | INFO | Train Epoch: 5 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31881 (0.39901) Loss: 0.31881 (0.39901)
2025-08-23,00:23:12 | INFO | Train Epoch: 5 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36197 (0.39889) Loss: 0.36197 (0.39889)
2025-08-23,00:24:22 | INFO | Train Epoch: 5 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34463 (0.39873) Loss: 0.34463 (0.39873)
2025-08-23,00:25:32 | INFO | Train Epoch: 5 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34847 (0.39857) Loss: 0.34847 (0.39857)
2025-08-23,00:26:42 | INFO | Train Epoch: 5 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44112 (0.39870) Loss: 0.44112 (0.39870)
2025-08-23,00:27:52 | INFO | Train Epoch: 5 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35943 (0.39858) Loss: 0.35943 (0.39858)
2025-08-23,00:29:02 | INFO | Train Epoch: 5 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32675 (0.39837) Loss: 0.32675 (0.39837)
2025-08-23,00:30:12 | INFO | Train Epoch: 5 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40951 (0.39840) Loss: 0.40951 (0.39840)
2025-08-23,00:31:22 | INFO | Train Epoch: 5 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42949 (0.39849) Loss: 0.42949 (0.39849)
2025-08-23,00:32:32 | INFO | Train Epoch: 5 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42072 (0.39856) Loss: 0.42072 (0.39856)
2025-08-23,00:33:42 | INFO | Train Epoch: 5 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40715 (0.39859) Loss: 0.40715 (0.39859)
2025-08-23,00:34:52 | INFO | Train Epoch: 5 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42710 (0.39867) Loss: 0.42710 (0.39867)
2025-08-23,00:36:02 | INFO | Train Epoch: 5 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34829 (0.39852) Loss: 0.34829 (0.39852)
2025-08-23,00:37:12 | INFO | Train Epoch: 5 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39585 (0.39851) Loss: 0.39585 (0.39851)
2025-08-23,00:38:22 | INFO | Train Epoch: 5 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41326 (0.39856) Loss: 0.41326 (0.39856)
2025-08-23,00:39:32 | INFO | Train Epoch: 5 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39214 (0.39854) Loss: 0.39214 (0.39854)
2025-08-23,00:40:42 | INFO | Train Epoch: 5 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33239 (0.39834) Loss: 0.33239 (0.39834)
2025-08-23,00:41:52 | INFO | Train Epoch: 5 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41789 (0.39840) Loss: 0.41789 (0.39840)
2025-08-23,00:43:02 | INFO | Train Epoch: 5 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46099 (0.39858) Loss: 0.46099 (0.39858)
2025-08-23,00:44:12 | INFO | Train Epoch: 5 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38316 (0.39854) Loss: 0.38316 (0.39854)
2025-08-23,00:45:22 | INFO | Train Epoch: 5 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42810 (0.39862) Loss: 0.42810 (0.39862)
2025-08-23,00:46:32 | INFO | Train Epoch: 5 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41987 (0.39869) Loss: 0.41987 (0.39869)
2025-08-23,00:47:42 | INFO | Train Epoch: 5 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38796 (0.39866) Loss: 0.38796 (0.39866)
2025-08-23,00:48:52 | INFO | Train Epoch: 5 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43193 (0.39875) Loss: 0.43193 (0.39875)
2025-08-23,00:50:02 | INFO | Train Epoch: 5 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46055 (0.39893) Loss: 0.46055 (0.39893)
2025-08-23,00:51:12 | INFO | Train Epoch: 5 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41983 (0.39899) Loss: 0.41983 (0.39899)
2025-08-23,00:52:22 | INFO | Train Epoch: 5 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37233 (0.39891) Loss: 0.37233 (0.39891)
2025-08-23,00:53:32 | INFO | Train Epoch: 5 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39084 (0.39889) Loss: 0.39084 (0.39889)
2025-08-23,00:54:42 | INFO | Train Epoch: 5 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34850 (0.39875) Loss: 0.34850 (0.39875)
2025-08-23,00:55:52 | INFO | Train Epoch: 5 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45285 (0.39890) Loss: 0.45285 (0.39890)
2025-08-23,00:57:02 | INFO | Train Epoch: 5 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45029 (0.39905) Loss: 0.45029 (0.39905)
2025-08-23,00:58:12 | INFO | Train Epoch: 5 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38211 (0.39900) Loss: 0.38211 (0.39900)
2025-08-23,00:59:22 | INFO | Train Epoch: 5 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40471 (0.39901) Loss: 0.40471 (0.39901)
2025-08-23,01:00:32 | INFO | Train Epoch: 5 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43582 (0.39912) Loss: 0.43582 (0.39912)
2025-08-23,01:01:42 | INFO | Train Epoch: 5 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37618 (0.39905) Loss: 0.37618 (0.39905)
2025-08-23,01:02:52 | INFO | Train Epoch: 5 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42087 (0.39911) Loss: 0.42087 (0.39911)
2025-08-23,01:04:02 | INFO | Train Epoch: 5 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43606 (0.39922) Loss: 0.43606 (0.39922)
2025-08-23,01:05:12 | INFO | Train Epoch: 5 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37797 (0.39916) Loss: 0.37797 (0.39916)
2025-08-23,01:06:21 | INFO | Train Epoch: 5 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35374 (0.39903) Loss: 0.35374 (0.39903)
2025-08-23,01:07:31 | INFO | Train Epoch: 5 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34750 (0.39889) Loss: 0.34750 (0.39889)
2025-08-23,01:08:41 | INFO | Train Epoch: 5 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33882 (0.39872) Loss: 0.33882 (0.39872)
2025-08-23,01:09:51 | INFO | Train Epoch: 5 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37925 (0.39867) Loss: 0.37925 (0.39867)
2025-08-23,01:11:01 | INFO | Train Epoch: 5 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37988 (0.39862) Loss: 0.37988 (0.39862)
2025-08-23,01:12:11 | INFO | Train Epoch: 5 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43767 (0.39873) Loss: 0.43767 (0.39873)
2025-08-23,01:13:21 | INFO | Train Epoch: 5 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33273 (0.39855) Loss: 0.33273 (0.39855)
2025-08-23,01:14:31 | INFO | Train Epoch: 5 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37971 (0.39850) Loss: 0.37971 (0.39850)
2025-08-23,01:15:42 | INFO | Train Epoch: 5 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37995 (0.39844) Loss: 0.37995 (0.39844)
2025-08-23,01:16:52 | INFO | Train Epoch: 5 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43243 (0.39854) Loss: 0.43243 (0.39854)
2025-08-23,01:18:02 | INFO | Train Epoch: 5 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35777 (0.39843) Loss: 0.35777 (0.39843)
2025-08-23,01:19:12 | INFO | Train Epoch: 5 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41501 (0.39847) Loss: 0.41501 (0.39847)
2025-08-23,01:20:22 | INFO | Train Epoch: 5 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40951 (0.39850) Loss: 0.40951 (0.39850)
2025-08-23,01:21:32 | INFO | Train Epoch: 5 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32275 (0.39830) Loss: 0.32275 (0.39830)
2025-08-23,01:22:42 | INFO | Train Epoch: 5 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41755 (0.39835) Loss: 0.41755 (0.39835)
2025-08-23,01:23:52 | INFO | Train Epoch: 5 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40380 (0.39836) Loss: 0.40380 (0.39836)
2025-08-23,01:25:02 | INFO | Train Epoch: 5 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49150 (0.39861) Loss: 0.49150 (0.39861)
2025-08-23,01:26:12 | INFO | Train Epoch: 5 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41054 (0.39864) Loss: 0.41054 (0.39864)
2025-08-23,01:27:22 | INFO | Train Epoch: 5 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40743 (0.39867) Loss: 0.40743 (0.39867)
2025-08-23,01:28:32 | INFO | Train Epoch: 5 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27566 (0.39834) Loss: 0.27566 (0.39834)
2025-08-23,01:29:42 | INFO | Train Epoch: 5 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38148 (0.39830) Loss: 0.38148 (0.39830)
2025-08-23,01:30:52 | INFO | Train Epoch: 5 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48292 (0.39852) Loss: 0.48292 (0.39852)
2025-08-23,01:32:02 | INFO | Train Epoch: 5 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38044 (0.39847) Loss: 0.38044 (0.39847)
2025-08-23,01:33:12 | INFO | Train Epoch: 5 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41615 (0.39852) Loss: 0.41615 (0.39852)
2025-08-23,01:34:23 | INFO | Train Epoch: 5 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44114 (0.39863) Loss: 0.44114 (0.39863)
2025-08-23,01:35:33 | INFO | Train Epoch: 5 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.50149 (0.39890) Loss: 0.50149 (0.39890)
2025-08-23,01:36:42 | INFO | Train Epoch: 5 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36923 (0.39882) Loss: 0.36923 (0.39882)
2025-08-23,01:37:53 | INFO | Train Epoch: 5 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41633 (0.39886) Loss: 0.41633 (0.39886)
2025-08-23,01:39:03 | INFO | Train Epoch: 5 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40932 (0.39889) Loss: 0.40932 (0.39889)
2025-08-23,01:40:13 | INFO | Train Epoch: 5 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36658 (0.39881) Loss: 0.36658 (0.39881)
2025-08-23,01:41:23 | INFO | Train Epoch: 5 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44106 (0.39892) Loss: 0.44106 (0.39892)
2025-08-23,01:42:33 | INFO | Train Epoch: 5 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41671 (0.39896) Loss: 0.41671 (0.39896)
2025-08-23,01:43:43 | INFO | Train Epoch: 5 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41046 (0.39899) Loss: 0.41046 (0.39899)
2025-08-23,01:44:53 | INFO | Train Epoch: 5 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43597 (0.39908) Loss: 0.43597 (0.39908)
2025-08-23,01:46:03 | INFO | Train Epoch: 5 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44909 (0.39921) Loss: 0.44909 (0.39921)
2025-08-23,01:47:13 | INFO | Train Epoch: 5 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42829 (0.39928) Loss: 0.42829 (0.39928)
2025-08-23,01:48:23 | INFO | Train Epoch: 5 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43066 (0.39936) Loss: 0.43066 (0.39936)
2025-08-23,01:49:33 | INFO | Train Epoch: 5 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37225 (0.39930) Loss: 0.37225 (0.39930)
2025-08-23,01:50:43 | INFO | Train Epoch: 5 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36890 (0.39922) Loss: 0.36890 (0.39922)
2025-08-23,01:51:53 | INFO | Train Epoch: 5 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42158 (0.39928) Loss: 0.42158 (0.39928)
2025-08-23,01:53:04 | INFO | Train Epoch: 5 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33878 (0.39912) Loss: 0.33878 (0.39912)
2025-08-23,01:54:14 | INFO | Train Epoch: 5 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32926 (0.39895) Loss: 0.32926 (0.39895)
2025-08-23,01:55:24 | INFO | Train Epoch: 5 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46589 (0.39912) Loss: 0.46589 (0.39912)
2025-08-23,01:56:34 | INFO | Train Epoch: 5 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47013 (0.39929) Loss: 0.47013 (0.39929)
2025-08-23,01:57:44 | INFO | Train Epoch: 5 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41365 (0.39933) Loss: 0.41365 (0.39933)
2025-08-23,01:58:54 | INFO | Train Epoch: 5 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37214 (0.39926) Loss: 0.37214 (0.39926)
2025-08-23,02:00:04 | INFO | Train Epoch: 5 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40709 (0.39928) Loss: 0.40709 (0.39928)
2025-08-23,02:01:14 | INFO | Train Epoch: 5 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41319 (0.39931) Loss: 0.41319 (0.39931)
2025-08-23,02:02:24 | INFO | Train Epoch: 5 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45989 (0.39946) Loss: 0.45989 (0.39946)
2025-08-23,02:03:34 | INFO | Train Epoch: 5 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42336 (0.39952) Loss: 0.42336 (0.39952)
2025-08-23,02:04:44 | INFO | Train Epoch: 5 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37015 (0.39945) Loss: 0.37015 (0.39945)
2025-08-23,02:05:54 | INFO | Train Epoch: 5 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45958 (0.39960) Loss: 0.45958 (0.39960)
2025-08-23,02:07:05 | INFO | Train Epoch: 5 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46830 (0.39976) Loss: 0.46830 (0.39976)
2025-08-23,02:08:15 | INFO | Train Epoch: 5 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31559 (0.39956) Loss: 0.31559 (0.39956)
2025-08-23,02:09:25 | INFO | Train Epoch: 5 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33532 (0.39940) Loss: 0.33532 (0.39940)
2025-08-23,02:10:35 | INFO | Train Epoch: 5 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35592 (0.39930) Loss: 0.35592 (0.39930)
2025-08-23,02:11:45 | INFO | Train Epoch: 5 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37871 (0.39925) Loss: 0.37871 (0.39925)
2025-08-23,02:12:55 | INFO | Train Epoch: 5 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36171 (0.39916) Loss: 0.36171 (0.39916)
2025-08-23,02:14:05 | INFO | Train Epoch: 5 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33995 (0.39902) Loss: 0.33995 (0.39902)
2025-08-23,02:15:15 | INFO | Train Epoch: 5 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35635 (0.39892) Loss: 0.35635 (0.39892)
2025-08-23,02:16:25 | INFO | Train Epoch: 5 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38556 (0.39889) Loss: 0.38556 (0.39889)
2025-08-23,02:17:36 | INFO | Train Epoch: 5 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45285 (0.39901) Loss: 0.45285 (0.39901)
2025-08-23,02:18:46 | INFO | Train Epoch: 5 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42965 (0.39909) Loss: 0.42965 (0.39909)
2025-08-23,02:19:56 | INFO | Train Epoch: 5 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40045 (0.39909) Loss: 0.40045 (0.39909)
2025-08-23,02:21:06 | INFO | Train Epoch: 5 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44049 (0.39919) Loss: 0.44049 (0.39919)
2025-08-23,02:22:16 | INFO | Train Epoch: 5 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38405 (0.39915) Loss: 0.38405 (0.39915)
2025-08-23,02:23:26 | INFO | Train Epoch: 5 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39223 (0.39913) Loss: 0.39223 (0.39913)
2025-08-23,02:24:36 | INFO | Train Epoch: 5 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33547 (0.39899) Loss: 0.33547 (0.39899)
2025-08-23,02:25:46 | INFO | Train Epoch: 5 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31296 (0.39878) Loss: 0.31296 (0.39878)
2025-08-23,02:26:56 | INFO | Train Epoch: 5 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41535 (0.39882) Loss: 0.41535 (0.39882)
2025-08-23,02:28:06 | INFO | Train Epoch: 5 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35556 (0.39872) Loss: 0.35556 (0.39872)
2025-08-23,02:29:16 | INFO | Train Epoch: 5 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41657 (0.39876) Loss: 0.41657 (0.39876)
2025-08-23,02:30:26 | INFO | Train Epoch: 5 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39067 (0.39875) Loss: 0.39067 (0.39875)
2025-08-23,02:31:37 | INFO | Train Epoch: 5 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37787 (0.39870) Loss: 0.37787 (0.39870)
2025-08-23,02:32:47 | INFO | Train Epoch: 5 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37841 (0.39865) Loss: 0.37841 (0.39865)
2025-08-23,02:33:57 | INFO | Train Epoch: 5 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40578 (0.39867) Loss: 0.40578 (0.39867)
2025-08-23,02:35:07 | INFO | Train Epoch: 5 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36448 (0.39859) Loss: 0.36448 (0.39859)
2025-08-23,02:36:17 | INFO | Train Epoch: 5 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33770 (0.39845) Loss: 0.33770 (0.39845)
2025-08-23,02:37:27 | INFO | Train Epoch: 5 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37945 (0.39841) Loss: 0.37945 (0.39841)
2025-08-23,02:38:37 | INFO | Train Epoch: 5 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37873 (0.39836) Loss: 0.37873 (0.39836)
2025-08-23,02:39:47 | INFO | Train Epoch: 5 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35033 (0.39825) Loss: 0.35033 (0.39825)
2025-08-23,02:40:57 | INFO | Train Epoch: 5 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42992 (0.39832) Loss: 0.42992 (0.39832)
2025-08-23,02:42:08 | INFO | Train Epoch: 5 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34019 (0.39819) Loss: 0.34019 (0.39819)
2025-08-23,02:43:18 | INFO | Train Epoch: 5 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31088 (0.39800) Loss: 0.31088 (0.39800)
2025-08-23,02:44:28 | INFO | Train Epoch: 5 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36568 (0.39792) Loss: 0.36568 (0.39792)
2025-08-23,02:45:38 | INFO | Train Epoch: 5 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39836 (0.39793) Loss: 0.39836 (0.39793)
2025-08-23,02:46:48 | INFO | Train Epoch: 5 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49737 (0.39815) Loss: 0.49737 (0.39815)
2025-08-23,02:47:58 | INFO | Train Epoch: 5 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36576 (0.39808) Loss: 0.36576 (0.39808)
2025-08-23,02:49:08 | INFO | Train Epoch: 5 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31472 (0.39789) Loss: 0.31472 (0.39789)
2025-08-23,02:50:19 | INFO | Train Epoch: 5 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35698 (0.39780) Loss: 0.35698 (0.39780)
2025-08-23,02:51:29 | INFO | Train Epoch: 5 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36126 (0.39772) Loss: 0.36126 (0.39772)
2025-08-23,02:52:39 | INFO | Train Epoch: 5 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39353 (0.39771) Loss: 0.39353 (0.39771)
2025-08-23,02:53:49 | INFO | Train Epoch: 5 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43132 (0.39778) Loss: 0.43132 (0.39778)
2025-08-23,02:54:59 | INFO | Train Epoch: 5 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33108 (0.39764) Loss: 0.33108 (0.39764)
2025-08-23,02:56:09 | INFO | Train Epoch: 5 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33511 (0.39750) Loss: 0.33511 (0.39750)
2025-08-23,02:57:19 | INFO | Train Epoch: 5 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38298 (0.39747) Loss: 0.38298 (0.39747)
2025-08-23,02:58:29 | INFO | Train Epoch: 5 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37032 (0.39741) Loss: 0.37032 (0.39741)
2025-08-23,02:59:39 | INFO | Train Epoch: 5 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38518 (0.39738) Loss: 0.38518 (0.39738)
2025-08-23,03:00:49 | INFO | Train Epoch: 5 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41723 (0.39742) Loss: 0.41723 (0.39742)
2025-08-23,03:01:59 | INFO | Train Epoch: 5 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33270 (0.39728) Loss: 0.33270 (0.39728)
2025-08-23,03:03:09 | INFO | Train Epoch: 5 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41363 (0.39732) Loss: 0.41363 (0.39732)
2025-08-23,03:04:19 | INFO | Train Epoch: 5 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36448 (0.39725) Loss: 0.36448 (0.39725)
2025-08-23,03:05:29 | INFO | Train Epoch: 5 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42786 (0.39731) Loss: 0.42786 (0.39731)
2025-08-23,03:06:39 | INFO | Train Epoch: 5 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32443 (0.39716) Loss: 0.32443 (0.39716)
2025-08-23,03:07:49 | INFO | Train Epoch: 5 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38205 (0.39712) Loss: 0.38205 (0.39712)
2025-08-23,03:08:59 | INFO | Train Epoch: 5 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39566 (0.39712) Loss: 0.39566 (0.39712)
2025-08-23,03:10:10 | INFO | Train Epoch: 5 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44724 (0.39723) Loss: 0.44724 (0.39723)
2025-08-23,03:11:20 | INFO | Train Epoch: 5 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.47268 (0.39739) Loss: 0.47268 (0.39739)
2025-08-23,03:12:30 | INFO | Train Epoch: 5 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31993 (0.39722) Loss: 0.31993 (0.39722)
2025-08-23,03:13:40 | INFO | Train Epoch: 5 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37345 (0.39717) Loss: 0.37345 (0.39717)
2025-08-23,03:14:50 | INFO | Train Epoch: 5 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37917 (0.39714) Loss: 0.37917 (0.39714)
2025-08-23,03:16:00 | INFO | Train Epoch: 5 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.49588 (0.39734) Loss: 0.49588 (0.39734)
2025-08-23,03:17:10 | INFO | Train Epoch: 5 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37021 (0.39729) Loss: 0.37021 (0.39729)
2025-08-23,03:18:20 | INFO | Train Epoch: 5 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43307 (0.39736) Loss: 0.43307 (0.39736)
2025-08-23,03:19:30 | INFO | Train Epoch: 5 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.43572 (0.39744) Loss: 0.43572 (0.39744)
2025-08-23,03:20:40 | INFO | Train Epoch: 5 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42000 (0.39749) Loss: 0.42000 (0.39749)
2025-08-23,03:21:50 | INFO | Train Epoch: 5 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42493 (0.39755) Loss: 0.42493 (0.39755)
2025-08-23,03:23:01 | INFO | Train Epoch: 5 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37267 (0.39750) Loss: 0.37267 (0.39750)
2025-08-23,03:24:11 | INFO | Train Epoch: 5 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42067 (0.39754) Loss: 0.42067 (0.39754)
2025-08-23,03:25:21 | INFO | Train Epoch: 5 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33019 (0.39740) Loss: 0.33019 (0.39740)
2025-08-23,03:26:31 | INFO | Train Epoch: 5 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36256 (0.39733) Loss: 0.36256 (0.39733)
2025-08-23,03:27:41 | INFO | Train Epoch: 5 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45433 (0.39745) Loss: 0.45433 (0.39745)
2025-08-23,03:28:51 | INFO | Train Epoch: 5 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37358 (0.39740) Loss: 0.37358 (0.39740)
2025-08-23,03:30:01 | INFO | Train Epoch: 5 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39843 (0.39740) Loss: 0.39843 (0.39740)
2025-08-23,03:31:11 | INFO | Train Epoch: 5 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39886 (0.39741) Loss: 0.39886 (0.39741)
2025-08-23,03:32:21 | INFO | Train Epoch: 5 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36048 (0.39733) Loss: 0.36048 (0.39733)
2025-08-23,03:33:31 | INFO | Train Epoch: 5 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40699 (0.39735) Loss: 0.40699 (0.39735)
2025-08-23,03:34:41 | INFO | Train Epoch: 5 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35424 (0.39726) Loss: 0.35424 (0.39726)
2025-08-23,03:35:51 | INFO | Train Epoch: 5 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36026 (0.39719) Loss: 0.36026 (0.39719)
2025-08-23,03:37:01 | INFO | Train Epoch: 5 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36744 (0.39713) Loss: 0.36744 (0.39713)
2025-08-23,03:38:11 | INFO | Train Epoch: 5 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44711 (0.39723) Loss: 0.44711 (0.39723)
2025-08-23,03:39:21 | INFO | Train Epoch: 5 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36336 (0.39716) Loss: 0.36336 (0.39716)
2025-08-23,03:40:31 | INFO | Train Epoch: 5 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37150 (0.39711) Loss: 0.37150 (0.39711)
2025-08-23,03:41:41 | INFO | Train Epoch: 5 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39789 (0.39711) Loss: 0.39789 (0.39711)
2025-08-23,03:42:51 | INFO | Train Epoch: 5 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33279 (0.39698) Loss: 0.33279 (0.39698)
2025-08-23,03:44:02 | INFO | Train Epoch: 5 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38077 (0.39695) Loss: 0.38077 (0.39695)
2025-08-23,03:45:12 | INFO | Train Epoch: 5 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.46143 (0.39707) Loss: 0.46143 (0.39707)
2025-08-23,03:46:22 | INFO | Train Epoch: 5 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40392 (0.39709) Loss: 0.40392 (0.39709)
2025-08-23,03:47:32 | INFO | Train Epoch: 5 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39919 (0.39709) Loss: 0.39919 (0.39709)
2025-08-23,03:48:42 | INFO | Train Epoch: 5 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29103 (0.39688) Loss: 0.29103 (0.39688)
2025-08-23,03:49:52 | INFO | Train Epoch: 5 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37391 (0.39683) Loss: 0.37391 (0.39683)
2025-08-23,03:51:02 | INFO | Train Epoch: 5 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33524 (0.39671) Loss: 0.33524 (0.39671)
2025-08-23,03:52:12 | INFO | Train Epoch: 5 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38620 (0.39669) Loss: 0.38620 (0.39669)
2025-08-23,03:53:22 | INFO | Train Epoch: 5 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39577 (0.39669) Loss: 0.39577 (0.39669)
2025-08-23,03:54:32 | INFO | Train Epoch: 5 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33536 (0.39657) Loss: 0.33536 (0.39657)
2025-08-23,03:55:42 | INFO | Train Epoch: 5 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40199 (0.39658) Loss: 0.40199 (0.39658)
2025-08-23,03:56:52 | INFO | Train Epoch: 5 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37120 (0.39653) Loss: 0.37120 (0.39653)
2025-08-23,03:58:02 | INFO | Train Epoch: 5 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38624 (0.39651) Loss: 0.38624 (0.39651)
2025-08-23,03:59:12 | INFO | Train Epoch: 5 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40718 (0.39653) Loss: 0.40718 (0.39653)
2025-08-23,04:00:22 | INFO | Train Epoch: 5 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37616 (0.39649) Loss: 0.37616 (0.39649)
2025-08-23,04:01:32 | INFO | Train Epoch: 5 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34707 (0.39639) Loss: 0.34707 (0.39639)
2025-08-23,04:02:42 | INFO | Train Epoch: 5 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39569 (0.39639) Loss: 0.39569 (0.39639)
2025-08-23,04:03:52 | INFO | Train Epoch: 5 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31408 (0.39623) Loss: 0.31408 (0.39623)
2025-08-23,04:05:02 | INFO | Train Epoch: 5 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33560 (0.39611) Loss: 0.33560 (0.39611)
2025-08-23,04:06:11 | INFO | Train Epoch: 5 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39488 (0.39611) Loss: 0.39488 (0.39611)
2025-08-23,04:07:18 | INFO | Train Epoch: 5 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41528 (0.39615) Loss: 0.41528 (0.39615)
2025-08-23,04:07:18 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-23,04:07:18 | INFO | [Epoch 5] Average Step Time: 0.702s | Average GPU Memory: 43.4 GB
2025-08-23,04:07:18 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-23,04:07:18 | INFO | Starting zero-shot imagenet.
2025-08-23,04:07:18 | INFO | Building zero-shot classifier
2025-08-23,04:07:28 | INFO | Using classifier
2025-08-23,04:08:11 | INFO | Finished zero-shot imagenet.
2025-08-23,04:08:11 | INFO | Eval Epoch: 6 imagenet-zeroshot-val-top1: 0.2595	imagenet-zeroshot-val-top5: 0.5115
2025-08-23,04:08:12 | INFO | Start epoch 6
2025-08-23,04:08:15 | INFO | Train Epoch: 6 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29531 (0.29531) Loss: 0.29531 (0.29531)
2025-08-23,04:09:24 | INFO | Train Epoch: 6 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37407 (0.33469) Loss: 0.37407 (0.33469)
2025-08-23,04:10:34 | INFO | Train Epoch: 6 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31439 (0.32792) Loss: 0.31439 (0.32792)
2025-08-23,04:11:43 | INFO | Train Epoch: 6 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27309 (0.31421) Loss: 0.27309 (0.31421)
2025-08-23,04:12:53 | INFO | Train Epoch: 6 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30712 (0.31280) Loss: 0.30712 (0.31280)
2025-08-23,04:14:03 | INFO | Train Epoch: 6 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37255 (0.32275) Loss: 0.37255 (0.32275)
2025-08-23,04:15:13 | INFO | Train Epoch: 6 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28948 (0.31800) Loss: 0.28948 (0.31800)
2025-08-23,04:16:23 | INFO | Train Epoch: 6 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31526 (0.31766) Loss: 0.31526 (0.31766)
2025-08-23,04:17:32 | INFO | Train Epoch: 6 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34772 (0.32100) Loss: 0.34772 (0.32100)
2025-08-23,04:18:42 | INFO | Train Epoch: 6 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41152 (0.33005) Loss: 0.41152 (0.33005)
2025-08-23,04:19:52 | INFO | Train Epoch: 6 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28193 (0.32568) Loss: 0.28193 (0.32568)
2025-08-23,04:21:02 | INFO | Train Epoch: 6 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31955 (0.32517) Loss: 0.31955 (0.32517)
2025-08-23,04:22:11 | INFO | Train Epoch: 6 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31052 (0.32404) Loss: 0.31052 (0.32404)
2025-08-23,04:23:21 | INFO | Train Epoch: 6 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31520 (0.32341) Loss: 0.31520 (0.32341)
2025-08-23,04:24:31 | INFO | Train Epoch: 6 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25458 (0.31882) Loss: 0.25458 (0.31882)
2025-08-23,04:25:41 | INFO | Train Epoch: 6 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29296 (0.31720) Loss: 0.29296 (0.31720)
2025-08-23,04:26:50 | INFO | Train Epoch: 6 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31127 (0.31685) Loss: 0.31127 (0.31685)
2025-08-23,04:28:00 | INFO | Train Epoch: 6 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35300 (0.31886) Loss: 0.35300 (0.31886)
2025-08-23,04:29:10 | INFO | Train Epoch: 6 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31897 (0.31887) Loss: 0.31897 (0.31887)
2025-08-23,04:30:20 | INFO | Train Epoch: 6 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33321 (0.31959) Loss: 0.33321 (0.31959)
2025-08-23,04:31:29 | INFO | Train Epoch: 6 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32816 (0.31999) Loss: 0.32816 (0.31999)
2025-08-23,04:32:39 | INFO | Train Epoch: 6 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32707 (0.32031) Loss: 0.32707 (0.32031)
2025-08-23,04:33:49 | INFO | Train Epoch: 6 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29867 (0.31937) Loss: 0.29867 (0.31937)
2025-08-23,04:34:58 | INFO | Train Epoch: 6 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36890 (0.32144) Loss: 0.36890 (0.32144)
2025-08-23,04:36:08 | INFO | Train Epoch: 6 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36632 (0.32323) Loss: 0.36632 (0.32323)
2025-08-23,04:37:18 | INFO | Train Epoch: 6 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27523 (0.32139) Loss: 0.27523 (0.32139)
2025-08-23,04:38:28 | INFO | Train Epoch: 6 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34793 (0.32237) Loss: 0.34793 (0.32237)
2025-08-23,04:39:38 | INFO | Train Epoch: 6 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37549 (0.32427) Loss: 0.37549 (0.32427)
2025-08-23,04:40:47 | INFO | Train Epoch: 6 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37769 (0.32611) Loss: 0.37769 (0.32611)
2025-08-23,04:41:57 | INFO | Train Epoch: 6 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39350 (0.32835) Loss: 0.39350 (0.32835)
2025-08-23,04:43:07 | INFO | Train Epoch: 6 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37619 (0.32990) Loss: 0.37619 (0.32990)
2025-08-23,04:44:17 | INFO | Train Epoch: 6 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33299 (0.32999) Loss: 0.33299 (0.32999)
2025-08-23,04:45:26 | INFO | Train Epoch: 6 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28423 (0.32861) Loss: 0.28423 (0.32861)
2025-08-23,04:46:36 | INFO | Train Epoch: 6 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30461 (0.32790) Loss: 0.30461 (0.32790)
2025-08-23,04:47:46 | INFO | Train Epoch: 6 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33019 (0.32797) Loss: 0.33019 (0.32797)
2025-08-23,04:48:56 | INFO | Train Epoch: 6 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26208 (0.32614) Loss: 0.26208 (0.32614)
2025-08-23,04:50:05 | INFO | Train Epoch: 6 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29595 (0.32532) Loss: 0.29595 (0.32532)
2025-08-23,04:51:15 | INFO | Train Epoch: 6 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39399 (0.32713) Loss: 0.39399 (0.32713)
2025-08-23,04:52:25 | INFO | Train Epoch: 6 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30190 (0.32648) Loss: 0.30190 (0.32648)
2025-08-23,04:53:35 | INFO | Train Epoch: 6 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33235 (0.32663) Loss: 0.33235 (0.32663)
2025-08-23,04:54:45 | INFO | Train Epoch: 6 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39502 (0.32830) Loss: 0.39502 (0.32830)
2025-08-23,04:55:54 | INFO | Train Epoch: 6 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36686 (0.32921) Loss: 0.36686 (0.32921)
2025-08-23,04:57:04 | INFO | Train Epoch: 6 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35094 (0.32972) Loss: 0.35094 (0.32972)
2025-08-23,04:58:14 | INFO | Train Epoch: 6 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33682 (0.32988) Loss: 0.33682 (0.32988)
2025-08-23,04:59:24 | INFO | Train Epoch: 6 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25201 (0.32815) Loss: 0.25201 (0.32815)
2025-08-23,05:00:34 | INFO | Train Epoch: 6 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38502 (0.32939) Loss: 0.38502 (0.32939)
2025-08-23,05:01:44 | INFO | Train Epoch: 6 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24756 (0.32765) Loss: 0.24756 (0.32765)
2025-08-23,05:02:54 | INFO | Train Epoch: 6 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34429 (0.32799) Loss: 0.34429 (0.32799)
2025-08-23,05:04:03 | INFO | Train Epoch: 6 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31857 (0.32780) Loss: 0.31857 (0.32780)
2025-08-23,05:05:13 | INFO | Train Epoch: 6 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35190 (0.32828) Loss: 0.35190 (0.32828)
2025-08-23,05:06:23 | INFO | Train Epoch: 6 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30559 (0.32784) Loss: 0.30559 (0.32784)
2025-08-23,05:07:33 | INFO | Train Epoch: 6 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27428 (0.32681) Loss: 0.27428 (0.32681)
2025-08-23,05:08:42 | INFO | Train Epoch: 6 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38461 (0.32790) Loss: 0.38461 (0.32790)
2025-08-23,05:09:52 | INFO | Train Epoch: 6 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27024 (0.32683) Loss: 0.27024 (0.32683)
2025-08-23,05:11:02 | INFO | Train Epoch: 6 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34309 (0.32713) Loss: 0.34309 (0.32713)
2025-08-23,05:12:12 | INFO | Train Epoch: 6 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33030 (0.32718) Loss: 0.33030 (0.32718)
2025-08-23,05:13:22 | INFO | Train Epoch: 6 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27984 (0.32635) Loss: 0.27984 (0.32635)
2025-08-23,05:14:31 | INFO | Train Epoch: 6 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32376 (0.32631) Loss: 0.32376 (0.32631)
2025-08-23,05:15:41 | INFO | Train Epoch: 6 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34211 (0.32658) Loss: 0.34211 (0.32658)
2025-08-23,05:16:51 | INFO | Train Epoch: 6 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30538 (0.32622) Loss: 0.30538 (0.32622)
2025-08-23,05:18:01 | INFO | Train Epoch: 6 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40303 (0.32748) Loss: 0.40303 (0.32748)
2025-08-23,05:19:10 | INFO | Train Epoch: 6 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31512 (0.32728) Loss: 0.31512 (0.32728)
2025-08-23,05:20:20 | INFO | Train Epoch: 6 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35636 (0.32774) Loss: 0.35636 (0.32774)
2025-08-23,05:21:29 | INFO | Train Epoch: 6 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30199 (0.32734) Loss: 0.30199 (0.32734)
2025-08-23,05:22:39 | INFO | Train Epoch: 6 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34164 (0.32756) Loss: 0.34164 (0.32756)
2025-08-23,05:23:49 | INFO | Train Epoch: 6 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30434 (0.32721) Loss: 0.30434 (0.32721)
2025-08-23,05:24:58 | INFO | Train Epoch: 6 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37450 (0.32791) Loss: 0.37450 (0.32791)
2025-08-23,05:26:08 | INFO | Train Epoch: 6 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36699 (0.32849) Loss: 0.36699 (0.32849)
2025-08-23,05:27:18 | INFO | Train Epoch: 6 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31592 (0.32831) Loss: 0.31592 (0.32831)
2025-08-23,05:28:27 | INFO | Train Epoch: 6 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33503 (0.32840) Loss: 0.33503 (0.32840)
2025-08-23,05:29:37 | INFO | Train Epoch: 6 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27924 (0.32771) Loss: 0.27924 (0.32771)
2025-08-23,05:30:47 | INFO | Train Epoch: 6 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34799 (0.32799) Loss: 0.34799 (0.32799)
2025-08-23,05:31:56 | INFO | Train Epoch: 6 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27919 (0.32732) Loss: 0.27919 (0.32732)
2025-08-23,05:33:06 | INFO | Train Epoch: 6 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28493 (0.32675) Loss: 0.28493 (0.32675)
2025-08-23,05:34:16 | INFO | Train Epoch: 6 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37566 (0.32740) Loss: 0.37566 (0.32740)
2025-08-23,05:35:25 | INFO | Train Epoch: 6 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39349 (0.32827) Loss: 0.39349 (0.32827)
2025-08-23,05:36:35 | INFO | Train Epoch: 6 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30695 (0.32800) Loss: 0.30695 (0.32800)
2025-08-23,05:37:45 | INFO | Train Epoch: 6 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34644 (0.32823) Loss: 0.34644 (0.32823)
2025-08-23,05:38:54 | INFO | Train Epoch: 6 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26457 (0.32743) Loss: 0.26457 (0.32743)
2025-08-23,05:40:04 | INFO | Train Epoch: 6 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26395 (0.32663) Loss: 0.26395 (0.32663)
2025-08-23,05:41:14 | INFO | Train Epoch: 6 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32823 (0.32665) Loss: 0.32823 (0.32665)
2025-08-23,05:42:24 | INFO | Train Epoch: 6 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27891 (0.32607) Loss: 0.27891 (0.32607)
2025-08-23,05:43:33 | INFO | Train Epoch: 6 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35187 (0.32638) Loss: 0.35187 (0.32638)
2025-08-23,05:44:43 | INFO | Train Epoch: 6 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34001 (0.32654) Loss: 0.34001 (0.32654)
2025-08-23,05:45:53 | INFO | Train Epoch: 6 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41726 (0.32761) Loss: 0.41726 (0.32761)
2025-08-23,05:47:03 | INFO | Train Epoch: 6 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37437 (0.32815) Loss: 0.37437 (0.32815)
2025-08-23,05:48:13 | INFO | Train Epoch: 6 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33048 (0.32818) Loss: 0.33048 (0.32818)
2025-08-23,05:49:22 | INFO | Train Epoch: 6 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31074 (0.32798) Loss: 0.31074 (0.32798)
2025-08-23,05:50:32 | INFO | Train Epoch: 6 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33016 (0.32801) Loss: 0.33016 (0.32801)
2025-08-23,05:51:42 | INFO | Train Epoch: 6 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37642 (0.32855) Loss: 0.37642 (0.32855)
2025-08-23,05:52:52 | INFO | Train Epoch: 6 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29153 (0.32814) Loss: 0.29153 (0.32814)
2025-08-23,05:54:02 | INFO | Train Epoch: 6 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28135 (0.32763) Loss: 0.28135 (0.32763)
2025-08-23,05:55:12 | INFO | Train Epoch: 6 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29966 (0.32733) Loss: 0.29966 (0.32733)
2025-08-23,05:56:21 | INFO | Train Epoch: 6 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33457 (0.32741) Loss: 0.33457 (0.32741)
2025-08-23,05:57:31 | INFO | Train Epoch: 6 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31868 (0.32731) Loss: 0.31868 (0.32731)
2025-08-23,05:58:41 | INFO | Train Epoch: 6 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34575 (0.32751) Loss: 0.34575 (0.32751)
2025-08-23,05:59:50 | INFO | Train Epoch: 6 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31047 (0.32733) Loss: 0.31047 (0.32733)
2025-08-23,06:01:00 | INFO | Train Epoch: 6 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28632 (0.32691) Loss: 0.28632 (0.32691)
2025-08-23,06:02:10 | INFO | Train Epoch: 6 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23827 (0.32602) Loss: 0.23827 (0.32602)
2025-08-23,06:03:20 | INFO | Train Epoch: 6 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38953 (0.32665) Loss: 0.38953 (0.32665)
2025-08-23,06:04:30 | INFO | Train Epoch: 6 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31407 (0.32653) Loss: 0.31407 (0.32653)
2025-08-23,06:05:40 | INFO | Train Epoch: 6 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35065 (0.32676) Loss: 0.35065 (0.32676)
2025-08-23,06:06:49 | INFO | Train Epoch: 6 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35729 (0.32706) Loss: 0.35729 (0.32706)
2025-08-23,06:07:59 | INFO | Train Epoch: 6 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29735 (0.32677) Loss: 0.29735 (0.32677)
2025-08-23,06:09:09 | INFO | Train Epoch: 6 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31573 (0.32667) Loss: 0.31573 (0.32667)
2025-08-23,06:10:19 | INFO | Train Epoch: 6 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38272 (0.32720) Loss: 0.38272 (0.32720)
2025-08-23,06:11:29 | INFO | Train Epoch: 6 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27668 (0.32673) Loss: 0.27668 (0.32673)
2025-08-23,06:12:39 | INFO | Train Epoch: 6 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42417 (0.32763) Loss: 0.42417 (0.32763)
2025-08-23,06:13:49 | INFO | Train Epoch: 6 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38456 (0.32815) Loss: 0.38456 (0.32815)
2025-08-23,06:14:58 | INFO | Train Epoch: 6 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38439 (0.32866) Loss: 0.38439 (0.32866)
2025-08-23,06:16:08 | INFO | Train Epoch: 6 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40430 (0.32934) Loss: 0.40430 (0.32934)
2025-08-23,06:17:18 | INFO | Train Epoch: 6 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31250 (0.32919) Loss: 0.31250 (0.32919)
2025-08-23,06:18:28 | INFO | Train Epoch: 6 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28180 (0.32877) Loss: 0.28180 (0.32877)
2025-08-23,06:19:38 | INFO | Train Epoch: 6 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36809 (0.32912) Loss: 0.36809 (0.32912)
2025-08-23,06:20:48 | INFO | Train Epoch: 6 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29978 (0.32886) Loss: 0.29978 (0.32886)
2025-08-23,06:21:58 | INFO | Train Epoch: 6 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33561 (0.32892) Loss: 0.33561 (0.32892)
2025-08-23,06:23:07 | INFO | Train Epoch: 6 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34404 (0.32905) Loss: 0.34404 (0.32905)
2025-08-23,06:24:17 | INFO | Train Epoch: 6 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37547 (0.32944) Loss: 0.37547 (0.32944)
2025-08-23,06:25:27 | INFO | Train Epoch: 6 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35242 (0.32964) Loss: 0.35242 (0.32964)
2025-08-23,06:26:37 | INFO | Train Epoch: 6 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35845 (0.32988) Loss: 0.35845 (0.32988)
2025-08-23,06:27:47 | INFO | Train Epoch: 6 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30822 (0.32970) Loss: 0.30822 (0.32970)
2025-08-23,06:28:57 | INFO | Train Epoch: 6 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42258 (0.33046) Loss: 0.42258 (0.33046)
2025-08-23,06:30:06 | INFO | Train Epoch: 6 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27103 (0.32998) Loss: 0.27103 (0.32998)
2025-08-23,06:31:16 | INFO | Train Epoch: 6 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39942 (0.33054) Loss: 0.39942 (0.33054)
2025-08-23,06:32:26 | INFO | Train Epoch: 6 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36685 (0.33083) Loss: 0.36685 (0.33083)
2025-08-23,06:33:36 | INFO | Train Epoch: 6 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36655 (0.33111) Loss: 0.36655 (0.33111)
2025-08-23,06:34:46 | INFO | Train Epoch: 6 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30622 (0.33091) Loss: 0.30622 (0.33091)
2025-08-23,06:35:55 | INFO | Train Epoch: 6 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32723 (0.33089) Loss: 0.32723 (0.33089)
2025-08-23,06:37:05 | INFO | Train Epoch: 6 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35312 (0.33106) Loss: 0.35312 (0.33106)
2025-08-23,06:38:15 | INFO | Train Epoch: 6 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32109 (0.33098) Loss: 0.32109 (0.33098)
2025-08-23,06:39:25 | INFO | Train Epoch: 6 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36254 (0.33122) Loss: 0.36254 (0.33122)
2025-08-23,06:40:35 | INFO | Train Epoch: 6 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35829 (0.33143) Loss: 0.35829 (0.33143)
2025-08-23,06:41:45 | INFO | Train Epoch: 6 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33170 (0.33143) Loss: 0.33170 (0.33143)
2025-08-23,06:42:55 | INFO | Train Epoch: 6 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41372 (0.33204) Loss: 0.41372 (0.33204)
2025-08-23,06:44:05 | INFO | Train Epoch: 6 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29355 (0.33176) Loss: 0.29355 (0.33176)
2025-08-23,06:45:15 | INFO | Train Epoch: 6 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26759 (0.33129) Loss: 0.26759 (0.33129)
2025-08-23,06:46:25 | INFO | Train Epoch: 6 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35728 (0.33148) Loss: 0.35728 (0.33148)
2025-08-23,06:47:35 | INFO | Train Epoch: 6 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.48549 (0.33259) Loss: 0.48549 (0.33259)
2025-08-23,06:48:44 | INFO | Train Epoch: 6 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36362 (0.33282) Loss: 0.36362 (0.33282)
2025-08-23,06:49:54 | INFO | Train Epoch: 6 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33651 (0.33284) Loss: 0.33651 (0.33284)
2025-08-23,06:51:04 | INFO | Train Epoch: 6 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37886 (0.33317) Loss: 0.37886 (0.33317)
2025-08-23,06:52:14 | INFO | Train Epoch: 6 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28402 (0.33282) Loss: 0.28402 (0.33282)
2025-08-23,06:53:24 | INFO | Train Epoch: 6 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37585 (0.33312) Loss: 0.37585 (0.33312)
2025-08-23,06:54:34 | INFO | Train Epoch: 6 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32750 (0.33308) Loss: 0.32750 (0.33308)
2025-08-23,06:55:44 | INFO | Train Epoch: 6 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31075 (0.33293) Loss: 0.31075 (0.33293)
2025-08-23,06:56:53 | INFO | Train Epoch: 6 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27927 (0.33256) Loss: 0.27927 (0.33256)
2025-08-23,06:58:03 | INFO | Train Epoch: 6 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38956 (0.33295) Loss: 0.38956 (0.33295)
2025-08-23,06:59:13 | INFO | Train Epoch: 6 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30115 (0.33274) Loss: 0.30115 (0.33274)
2025-08-23,07:00:23 | INFO | Train Epoch: 6 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31138 (0.33259) Loss: 0.31138 (0.33259)
2025-08-23,07:01:33 | INFO | Train Epoch: 6 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29523 (0.33234) Loss: 0.29523 (0.33234)
2025-08-23,07:02:42 | INFO | Train Epoch: 6 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33782 (0.33238) Loss: 0.33782 (0.33238)
2025-08-23,07:03:52 | INFO | Train Epoch: 6 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33031 (0.33237) Loss: 0.33031 (0.33237)
2025-08-23,07:05:02 | INFO | Train Epoch: 6 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33503 (0.33238) Loss: 0.33503 (0.33238)
2025-08-23,07:06:12 | INFO | Train Epoch: 6 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35925 (0.33256) Loss: 0.35925 (0.33256)
2025-08-23,07:07:22 | INFO | Train Epoch: 6 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35387 (0.33270) Loss: 0.35387 (0.33270)
2025-08-23,07:08:32 | INFO | Train Epoch: 6 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29926 (0.33248) Loss: 0.29926 (0.33248)
2025-08-23,07:09:42 | INFO | Train Epoch: 6 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30064 (0.33228) Loss: 0.30064 (0.33228)
2025-08-23,07:10:52 | INFO | Train Epoch: 6 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33949 (0.33232) Loss: 0.33949 (0.33232)
2025-08-23,07:12:01 | INFO | Train Epoch: 6 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38849 (0.33268) Loss: 0.38849 (0.33268)
2025-08-23,07:13:11 | INFO | Train Epoch: 6 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40518 (0.33313) Loss: 0.40518 (0.33313)
2025-08-23,07:14:21 | INFO | Train Epoch: 6 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38121 (0.33343) Loss: 0.38121 (0.33343)
2025-08-23,07:15:31 | INFO | Train Epoch: 6 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32097 (0.33335) Loss: 0.32097 (0.33335)
2025-08-23,07:16:41 | INFO | Train Epoch: 6 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.42979 (0.33394) Loss: 0.42979 (0.33394)
2025-08-23,07:17:50 | INFO | Train Epoch: 6 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34769 (0.33403) Loss: 0.34769 (0.33403)
2025-08-23,07:19:00 | INFO | Train Epoch: 6 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31282 (0.33390) Loss: 0.31282 (0.33390)
2025-08-23,07:20:10 | INFO | Train Epoch: 6 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37453 (0.33414) Loss: 0.37453 (0.33414)
2025-08-23,07:21:20 | INFO | Train Epoch: 6 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36132 (0.33431) Loss: 0.36132 (0.33431)
2025-08-23,07:22:29 | INFO | Train Epoch: 6 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34886 (0.33439) Loss: 0.34886 (0.33439)
2025-08-23,07:23:39 | INFO | Train Epoch: 6 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29366 (0.33415) Loss: 0.29366 (0.33415)
2025-08-23,07:24:49 | INFO | Train Epoch: 6 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30558 (0.33398) Loss: 0.30558 (0.33398)
2025-08-23,07:25:59 | INFO | Train Epoch: 6 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25828 (0.33354) Loss: 0.25828 (0.33354)
2025-08-23,07:27:09 | INFO | Train Epoch: 6 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36922 (0.33375) Loss: 0.36922 (0.33375)
2025-08-23,07:28:19 | INFO | Train Epoch: 6 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32819 (0.33372) Loss: 0.32819 (0.33372)
2025-08-23,07:29:29 | INFO | Train Epoch: 6 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30689 (0.33356) Loss: 0.30689 (0.33356)
2025-08-23,07:30:39 | INFO | Train Epoch: 6 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44391 (0.33419) Loss: 0.44391 (0.33419)
2025-08-23,07:31:49 | INFO | Train Epoch: 6 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36729 (0.33438) Loss: 0.36729 (0.33438)
2025-08-23,07:32:59 | INFO | Train Epoch: 6 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37857 (0.33463) Loss: 0.37857 (0.33463)
2025-08-23,07:34:08 | INFO | Train Epoch: 6 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34705 (0.33470) Loss: 0.34705 (0.33470)
2025-08-23,07:35:18 | INFO | Train Epoch: 6 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24423 (0.33419) Loss: 0.24423 (0.33419)
2025-08-23,07:36:28 | INFO | Train Epoch: 6 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31613 (0.33409) Loss: 0.31613 (0.33409)
2025-08-23,07:37:38 | INFO | Train Epoch: 6 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34209 (0.33414) Loss: 0.34209 (0.33414)
2025-08-23,07:38:48 | INFO | Train Epoch: 6 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24692 (0.33366) Loss: 0.24692 (0.33366)
2025-08-23,07:39:58 | INFO | Train Epoch: 6 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34289 (0.33371) Loss: 0.34289 (0.33371)
2025-08-23,07:41:08 | INFO | Train Epoch: 6 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33172 (0.33370) Loss: 0.33172 (0.33370)
2025-08-23,07:42:18 | INFO | Train Epoch: 6 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34751 (0.33377) Loss: 0.34751 (0.33377)
2025-08-23,07:43:28 | INFO | Train Epoch: 6 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24016 (0.33327) Loss: 0.24016 (0.33327)
2025-08-23,07:44:38 | INFO | Train Epoch: 6 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32828 (0.33324) Loss: 0.32828 (0.33324)
2025-08-23,07:45:47 | INFO | Train Epoch: 6 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27056 (0.33291) Loss: 0.27056 (0.33291)
2025-08-23,07:46:57 | INFO | Train Epoch: 6 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30004 (0.33274) Loss: 0.30004 (0.33274)
2025-08-23,07:48:07 | INFO | Train Epoch: 6 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37251 (0.33295) Loss: 0.37251 (0.33295)
2025-08-23,07:49:17 | INFO | Train Epoch: 6 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35438 (0.33306) Loss: 0.35438 (0.33306)
2025-08-23,07:50:27 | INFO | Train Epoch: 6 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30198 (0.33290) Loss: 0.30198 (0.33290)
2025-08-23,07:51:37 | INFO | Train Epoch: 6 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25547 (0.33249) Loss: 0.25547 (0.33249)
2025-08-23,07:52:46 | INFO | Train Epoch: 6 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33619 (0.33251) Loss: 0.33619 (0.33251)
2025-08-23,07:53:56 | INFO | Train Epoch: 6 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28346 (0.33226) Loss: 0.28346 (0.33226)
2025-08-23,07:55:06 | INFO | Train Epoch: 6 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28507 (0.33202) Loss: 0.28507 (0.33202)
2025-08-23,07:56:16 | INFO | Train Epoch: 6 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28661 (0.33179) Loss: 0.28661 (0.33179)
2025-08-23,07:57:26 | INFO | Train Epoch: 6 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31266 (0.33169) Loss: 0.31266 (0.33169)
2025-08-23,07:58:36 | INFO | Train Epoch: 6 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29422 (0.33151) Loss: 0.29422 (0.33151)
2025-08-23,07:59:46 | INFO | Train Epoch: 6 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35039 (0.33160) Loss: 0.35039 (0.33160)
2025-08-23,08:00:56 | INFO | Train Epoch: 6 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35414 (0.33171) Loss: 0.35414 (0.33171)
2025-08-23,08:02:05 | INFO | Train Epoch: 6 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34361 (0.33177) Loss: 0.34361 (0.33177)
2025-08-23,08:03:15 | INFO | Train Epoch: 6 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29543 (0.33159) Loss: 0.29543 (0.33159)
2025-08-23,08:04:25 | INFO | Train Epoch: 6 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27558 (0.33132) Loss: 0.27558 (0.33132)
2025-08-23,08:05:35 | INFO | Train Epoch: 6 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40267 (0.33167) Loss: 0.40267 (0.33167)
2025-08-23,08:06:45 | INFO | Train Epoch: 6 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39085 (0.33195) Loss: 0.39085 (0.33195)
2025-08-23,08:07:55 | INFO | Train Epoch: 6 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33397 (0.33196) Loss: 0.33397 (0.33196)
2025-08-23,08:09:05 | INFO | Train Epoch: 6 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36571 (0.33213) Loss: 0.36571 (0.33213)
2025-08-23,08:10:14 | INFO | Train Epoch: 6 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25258 (0.33174) Loss: 0.25258 (0.33174)
2025-08-23,08:11:24 | INFO | Train Epoch: 6 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34253 (0.33180) Loss: 0.34253 (0.33180)
2025-08-23,08:12:34 | INFO | Train Epoch: 6 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32579 (0.33177) Loss: 0.32579 (0.33177)
2025-08-23,08:13:44 | INFO | Train Epoch: 6 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35456 (0.33188) Loss: 0.35456 (0.33188)
2025-08-23,08:14:54 | INFO | Train Epoch: 6 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30654 (0.33176) Loss: 0.30654 (0.33176)
2025-08-23,08:16:04 | INFO | Train Epoch: 6 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38692 (0.33201) Loss: 0.38692 (0.33201)
2025-08-23,08:17:14 | INFO | Train Epoch: 6 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35202 (0.33211) Loss: 0.35202 (0.33211)
2025-08-23,08:18:23 | INFO | Train Epoch: 6 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32714 (0.33208) Loss: 0.32714 (0.33208)
2025-08-23,08:19:33 | INFO | Train Epoch: 6 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29771 (0.33193) Loss: 0.29771 (0.33193)
2025-08-23,08:20:43 | INFO | Train Epoch: 6 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29922 (0.33178) Loss: 0.29922 (0.33178)
2025-08-23,08:21:53 | INFO | Train Epoch: 6 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36904 (0.33195) Loss: 0.36904 (0.33195)
2025-08-23,08:23:03 | INFO | Train Epoch: 6 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37431 (0.33214) Loss: 0.37431 (0.33214)
2025-08-23,08:24:13 | INFO | Train Epoch: 6 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34320 (0.33219) Loss: 0.34320 (0.33219)
2025-08-23,08:25:23 | INFO | Train Epoch: 6 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28673 (0.33198) Loss: 0.28673 (0.33198)
2025-08-23,08:26:32 | INFO | Train Epoch: 6 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30373 (0.33186) Loss: 0.30373 (0.33186)
2025-08-23,08:27:42 | INFO | Train Epoch: 6 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26155 (0.33154) Loss: 0.26155 (0.33154)
2025-08-23,08:28:52 | INFO | Train Epoch: 6 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35035 (0.33163) Loss: 0.35035 (0.33163)
2025-08-23,08:30:02 | INFO | Train Epoch: 6 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37003 (0.33180) Loss: 0.37003 (0.33180)
2025-08-23,08:31:12 | INFO | Train Epoch: 6 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30588 (0.33168) Loss: 0.30588 (0.33168)
2025-08-23,08:32:22 | INFO | Train Epoch: 6 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31840 (0.33162) Loss: 0.31840 (0.33162)
2025-08-23,08:33:31 | INFO | Train Epoch: 6 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36060 (0.33175) Loss: 0.36060 (0.33175)
2025-08-23,08:34:41 | INFO | Train Epoch: 6 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31588 (0.33168) Loss: 0.31588 (0.33168)
2025-08-23,08:35:51 | INFO | Train Epoch: 6 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36506 (0.33183) Loss: 0.36506 (0.33183)
2025-08-23,08:37:01 | INFO | Train Epoch: 6 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40896 (0.33216) Loss: 0.40896 (0.33216)
2025-08-23,08:38:11 | INFO | Train Epoch: 6 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35532 (0.33226) Loss: 0.35532 (0.33226)
2025-08-23,08:39:21 | INFO | Train Epoch: 6 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30964 (0.33216) Loss: 0.30964 (0.33216)
2025-08-23,08:40:31 | INFO | Train Epoch: 6 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30995 (0.33207) Loss: 0.30995 (0.33207)
2025-08-23,08:41:41 | INFO | Train Epoch: 6 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28356 (0.33186) Loss: 0.28356 (0.33186)
2025-08-23,08:42:50 | INFO | Train Epoch: 6 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25656 (0.33154) Loss: 0.25656 (0.33154)
2025-08-23,08:44:00 | INFO | Train Epoch: 6 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36683 (0.33169) Loss: 0.36683 (0.33169)
2025-08-23,08:45:10 | INFO | Train Epoch: 6 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24487 (0.33133) Loss: 0.24487 (0.33133)
2025-08-23,08:46:20 | INFO | Train Epoch: 6 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38496 (0.33155) Loss: 0.38496 (0.33155)
2025-08-23,08:47:30 | INFO | Train Epoch: 6 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35967 (0.33167) Loss: 0.35967 (0.33167)
2025-08-23,08:48:40 | INFO | Train Epoch: 6 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27601 (0.33144) Loss: 0.27601 (0.33144)
2025-08-23,08:49:49 | INFO | Train Epoch: 6 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35861 (0.33155) Loss: 0.35861 (0.33155)
2025-08-23,08:50:59 | INFO | Train Epoch: 6 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35245 (0.33164) Loss: 0.35245 (0.33164)
2025-08-23,08:52:09 | INFO | Train Epoch: 6 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30863 (0.33154) Loss: 0.30863 (0.33154)
2025-08-23,08:53:19 | INFO | Train Epoch: 6 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39520 (0.33180) Loss: 0.39520 (0.33180)
2025-08-23,08:54:29 | INFO | Train Epoch: 6 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27898 (0.33159) Loss: 0.27898 (0.33159)
2025-08-23,08:55:38 | INFO | Train Epoch: 6 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37990 (0.33178) Loss: 0.37990 (0.33178)
2025-08-23,08:56:48 | INFO | Train Epoch: 6 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37995 (0.33198) Loss: 0.37995 (0.33198)
2025-08-23,08:57:58 | INFO | Train Epoch: 6 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24610 (0.33163) Loss: 0.24610 (0.33163)
2025-08-23,08:59:08 | INFO | Train Epoch: 6 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29104 (0.33147) Loss: 0.29104 (0.33147)
2025-08-23,09:00:18 | INFO | Train Epoch: 6 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31384 (0.33140) Loss: 0.31384 (0.33140)
2025-08-23,09:01:28 | INFO | Train Epoch: 6 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31948 (0.33135) Loss: 0.31948 (0.33135)
2025-08-23,09:02:38 | INFO | Train Epoch: 6 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30010 (0.33123) Loss: 0.30010 (0.33123)
2025-08-23,09:03:48 | INFO | Train Epoch: 6 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35471 (0.33132) Loss: 0.35471 (0.33132)
2025-08-23,09:04:57 | INFO | Train Epoch: 6 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32698 (0.33131) Loss: 0.32698 (0.33131)
2025-08-23,09:06:07 | INFO | Train Epoch: 6 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24807 (0.33098) Loss: 0.24807 (0.33098)
2025-08-23,09:07:17 | INFO | Train Epoch: 6 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41415 (0.33130) Loss: 0.41415 (0.33130)
2025-08-23,09:08:27 | INFO | Train Epoch: 6 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35042 (0.33138) Loss: 0.35042 (0.33138)
2025-08-23,09:09:37 | INFO | Train Epoch: 6 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38014 (0.33157) Loss: 0.38014 (0.33157)
2025-08-23,09:10:47 | INFO | Train Epoch: 6 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32536 (0.33154) Loss: 0.32536 (0.33154)
2025-08-23,09:11:56 | INFO | Train Epoch: 6 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36646 (0.33167) Loss: 0.36646 (0.33167)
2025-08-23,09:13:06 | INFO | Train Epoch: 6 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29041 (0.33152) Loss: 0.29041 (0.33152)
2025-08-23,09:14:16 | INFO | Train Epoch: 6 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36778 (0.33165) Loss: 0.36778 (0.33165)
2025-08-23,09:15:26 | INFO | Train Epoch: 6 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37317 (0.33181) Loss: 0.37317 (0.33181)
2025-08-23,09:16:36 | INFO | Train Epoch: 6 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31435 (0.33175) Loss: 0.31435 (0.33175)
2025-08-23,09:17:45 | INFO | Train Epoch: 6 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35219 (0.33182) Loss: 0.35219 (0.33182)
2025-08-23,09:18:55 | INFO | Train Epoch: 6 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.44687 (0.33225) Loss: 0.44687 (0.33225)
2025-08-23,09:20:05 | INFO | Train Epoch: 6 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32325 (0.33222) Loss: 0.32325 (0.33222)
2025-08-23,09:21:15 | INFO | Train Epoch: 6 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35670 (0.33231) Loss: 0.35670 (0.33231)
2025-08-23,09:22:24 | INFO | Train Epoch: 6 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31117 (0.33223) Loss: 0.31117 (0.33223)
2025-08-23,09:23:34 | INFO | Train Epoch: 6 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32299 (0.33220) Loss: 0.32299 (0.33220)
2025-08-23,09:24:44 | INFO | Train Epoch: 6 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32712 (0.33218) Loss: 0.32712 (0.33218)
2025-08-23,09:25:54 | INFO | Train Epoch: 6 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30518 (0.33208) Loss: 0.30518 (0.33208)
2025-08-23,09:27:04 | INFO | Train Epoch: 6 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34588 (0.33213) Loss: 0.34588 (0.33213)
2025-08-23,09:28:14 | INFO | Train Epoch: 6 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35659 (0.33222) Loss: 0.35659 (0.33222)
2025-08-23,09:29:23 | INFO | Train Epoch: 6 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29948 (0.33210) Loss: 0.29948 (0.33210)
2025-08-23,09:30:33 | INFO | Train Epoch: 6 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33233 (0.33210) Loss: 0.33233 (0.33210)
2025-08-23,09:31:43 | INFO | Train Epoch: 6 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25271 (0.33182) Loss: 0.25271 (0.33182)
2025-08-23,09:32:53 | INFO | Train Epoch: 6 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26677 (0.33158) Loss: 0.26677 (0.33158)
2025-08-23,09:34:03 | INFO | Train Epoch: 6 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36763 (0.33171) Loss: 0.36763 (0.33171)
2025-08-23,09:35:13 | INFO | Train Epoch: 6 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33744 (0.33173) Loss: 0.33744 (0.33173)
2025-08-23,09:36:23 | INFO | Train Epoch: 6 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32921 (0.33172) Loss: 0.32921 (0.33172)
2025-08-23,09:37:32 | INFO | Train Epoch: 6 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36255 (0.33183) Loss: 0.36255 (0.33183)
2025-08-23,09:38:42 | INFO | Train Epoch: 6 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37795 (0.33199) Loss: 0.37795 (0.33199)
2025-08-23,09:39:52 | INFO | Train Epoch: 6 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39306 (0.33221) Loss: 0.39306 (0.33221)
2025-08-23,09:41:02 | INFO | Train Epoch: 6 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37643 (0.33236) Loss: 0.37643 (0.33236)
2025-08-23,09:42:11 | INFO | Train Epoch: 6 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28044 (0.33218) Loss: 0.28044 (0.33218)
2025-08-23,09:43:21 | INFO | Train Epoch: 6 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35846 (0.33227) Loss: 0.35846 (0.33227)
2025-08-23,09:44:31 | INFO | Train Epoch: 6 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38457 (0.33245) Loss: 0.38457 (0.33245)
2025-08-23,09:45:41 | INFO | Train Epoch: 6 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30839 (0.33237) Loss: 0.30839 (0.33237)
2025-08-23,09:46:51 | INFO | Train Epoch: 6 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25595 (0.33211) Loss: 0.25595 (0.33211)
2025-08-23,09:48:01 | INFO | Train Epoch: 6 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36944 (0.33224) Loss: 0.36944 (0.33224)
2025-08-23,09:49:10 | INFO | Train Epoch: 6 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31130 (0.33216) Loss: 0.31130 (0.33216)
2025-08-23,09:50:20 | INFO | Train Epoch: 6 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34826 (0.33222) Loss: 0.34826 (0.33222)
2025-08-23,09:51:30 | INFO | Train Epoch: 6 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36630 (0.33233) Loss: 0.36630 (0.33233)
2025-08-23,09:52:40 | INFO | Train Epoch: 6 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32980 (0.33233) Loss: 0.32980 (0.33233)
2025-08-23,09:53:49 | INFO | Train Epoch: 6 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29129 (0.33219) Loss: 0.29129 (0.33219)
2025-08-23,09:54:59 | INFO | Train Epoch: 6 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32778 (0.33217) Loss: 0.32778 (0.33217)
2025-08-23,09:56:09 | INFO | Train Epoch: 6 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36516 (0.33228) Loss: 0.36516 (0.33228)
2025-08-23,09:57:19 | INFO | Train Epoch: 6 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29240 (0.33215) Loss: 0.29240 (0.33215)
2025-08-23,09:58:29 | INFO | Train Epoch: 6 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28231 (0.33199) Loss: 0.28231 (0.33199)
2025-08-23,09:59:38 | INFO | Train Epoch: 6 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33521 (0.33200) Loss: 0.33521 (0.33200)
2025-08-23,10:00:48 | INFO | Train Epoch: 6 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28761 (0.33185) Loss: 0.28761 (0.33185)
2025-08-23,10:01:58 | INFO | Train Epoch: 6 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31015 (0.33178) Loss: 0.31015 (0.33178)
2025-08-23,10:03:08 | INFO | Train Epoch: 6 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27757 (0.33160) Loss: 0.27757 (0.33160)
2025-08-23,10:04:18 | INFO | Train Epoch: 6 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27988 (0.33143) Loss: 0.27988 (0.33143)
2025-08-23,10:05:27 | INFO | Train Epoch: 6 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35869 (0.33152) Loss: 0.35869 (0.33152)
2025-08-23,10:06:37 | INFO | Train Epoch: 6 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30891 (0.33145) Loss: 0.30891 (0.33145)
2025-08-23,10:07:47 | INFO | Train Epoch: 6 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30232 (0.33136) Loss: 0.30232 (0.33136)
2025-08-23,10:08:56 | INFO | Train Epoch: 6 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27608 (0.33118) Loss: 0.27608 (0.33118)
2025-08-23,10:10:06 | INFO | Train Epoch: 6 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37967 (0.33133) Loss: 0.37967 (0.33133)
2025-08-23,10:11:16 | INFO | Train Epoch: 6 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32199 (0.33130) Loss: 0.32199 (0.33130)
2025-08-23,10:12:26 | INFO | Train Epoch: 6 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37887 (0.33145) Loss: 0.37887 (0.33145)
2025-08-23,10:13:36 | INFO | Train Epoch: 6 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36596 (0.33156) Loss: 0.36596 (0.33156)
2025-08-23,10:14:46 | INFO | Train Epoch: 6 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30025 (0.33147) Loss: 0.30025 (0.33147)
2025-08-23,10:15:55 | INFO | Train Epoch: 6 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32404 (0.33144) Loss: 0.32404 (0.33144)
2025-08-23,10:17:05 | INFO | Train Epoch: 6 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33482 (0.33145) Loss: 0.33482 (0.33145)
2025-08-23,10:18:15 | INFO | Train Epoch: 6 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29492 (0.33134) Loss: 0.29492 (0.33134)
2025-08-23,10:19:25 | INFO | Train Epoch: 6 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37444 (0.33147) Loss: 0.37444 (0.33147)
2025-08-23,10:20:34 | INFO | Train Epoch: 6 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33461 (0.33148) Loss: 0.33461 (0.33148)
2025-08-23,10:21:44 | INFO | Train Epoch: 6 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26899 (0.33129) Loss: 0.26899 (0.33129)
2025-08-23,10:22:54 | INFO | Train Epoch: 6 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28700 (0.33115) Loss: 0.28700 (0.33115)
2025-08-23,10:24:04 | INFO | Train Epoch: 6 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26018 (0.33093) Loss: 0.26018 (0.33093)
2025-08-23,10:25:13 | INFO | Train Epoch: 6 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32111 (0.33090) Loss: 0.32111 (0.33090)
2025-08-23,10:26:23 | INFO | Train Epoch: 6 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31889 (0.33086) Loss: 0.31889 (0.33086)
2025-08-23,10:27:33 | INFO | Train Epoch: 6 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40051 (0.33108) Loss: 0.40051 (0.33108)
2025-08-23,10:28:43 | INFO | Train Epoch: 6 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28414 (0.33093) Loss: 0.28414 (0.33093)
2025-08-23,10:29:53 | INFO | Train Epoch: 6 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31296 (0.33088) Loss: 0.31296 (0.33088)
2025-08-23,10:31:03 | INFO | Train Epoch: 6 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40614 (0.33111) Loss: 0.40614 (0.33111)
2025-08-23,10:32:12 | INFO | Train Epoch: 6 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31270 (0.33105) Loss: 0.31270 (0.33105)
2025-08-23,10:33:22 | INFO | Train Epoch: 6 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.40434 (0.33127) Loss: 0.40434 (0.33127)
2025-08-23,10:34:32 | INFO | Train Epoch: 6 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29103 (0.33115) Loss: 0.29103 (0.33115)
2025-08-23,10:35:42 | INFO | Train Epoch: 6 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29271 (0.33104) Loss: 0.29271 (0.33104)
2025-08-23,10:36:52 | INFO | Train Epoch: 6 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39339 (0.33122) Loss: 0.39339 (0.33122)
2025-08-23,10:38:01 | INFO | Train Epoch: 6 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30194 (0.33114) Loss: 0.30194 (0.33114)
2025-08-23,10:39:11 | INFO | Train Epoch: 6 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33693 (0.33115) Loss: 0.33693 (0.33115)
2025-08-23,10:40:21 | INFO | Train Epoch: 6 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31588 (0.33111) Loss: 0.31588 (0.33111)
2025-08-23,10:41:31 | INFO | Train Epoch: 6 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34996 (0.33116) Loss: 0.34996 (0.33116)
2025-08-23,10:42:40 | INFO | Train Epoch: 6 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39286 (0.33135) Loss: 0.39286 (0.33135)
2025-08-23,10:43:50 | INFO | Train Epoch: 6 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29326 (0.33123) Loss: 0.29326 (0.33123)
2025-08-23,10:45:00 | INFO | Train Epoch: 6 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25341 (0.33101) Loss: 0.25341 (0.33101)
2025-08-23,10:46:10 | INFO | Train Epoch: 6 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19332 (0.33060) Loss: 0.19332 (0.33060)
2025-08-23,10:47:20 | INFO | Train Epoch: 6 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38853 (0.33077) Loss: 0.38853 (0.33077)
2025-08-23,10:48:30 | INFO | Train Epoch: 6 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36828 (0.33088) Loss: 0.36828 (0.33088)
2025-08-23,10:49:40 | INFO | Train Epoch: 6 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33759 (0.33090) Loss: 0.33759 (0.33090)
2025-08-23,10:50:50 | INFO | Train Epoch: 6 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36656 (0.33100) Loss: 0.36656 (0.33100)
2025-08-23,10:52:00 | INFO | Train Epoch: 6 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34850 (0.33105) Loss: 0.34850 (0.33105)
2025-08-23,10:53:10 | INFO | Train Epoch: 6 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28097 (0.33091) Loss: 0.28097 (0.33091)
2025-08-23,10:54:19 | INFO | Train Epoch: 6 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34176 (0.33094) Loss: 0.34176 (0.33094)
2025-08-23,10:55:29 | INFO | Train Epoch: 6 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31415 (0.33089) Loss: 0.31415 (0.33089)
2025-08-23,10:56:39 | INFO | Train Epoch: 6 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31662 (0.33085) Loss: 0.31662 (0.33085)
2025-08-23,10:57:49 | INFO | Train Epoch: 6 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32851 (0.33085) Loss: 0.32851 (0.33085)
2025-08-23,10:58:59 | INFO | Train Epoch: 6 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26160 (0.33065) Loss: 0.26160 (0.33065)
2025-08-23,11:00:09 | INFO | Train Epoch: 6 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39934 (0.33084) Loss: 0.39934 (0.33084)
2025-08-23,11:01:19 | INFO | Train Epoch: 6 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33731 (0.33086) Loss: 0.33731 (0.33086)
2025-08-23,11:02:29 | INFO | Train Epoch: 6 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33207 (0.33087) Loss: 0.33207 (0.33087)
2025-08-23,11:03:38 | INFO | Train Epoch: 6 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25337 (0.33065) Loss: 0.25337 (0.33065)
2025-08-23,11:04:48 | INFO | Train Epoch: 6 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31283 (0.33060) Loss: 0.31283 (0.33060)
2025-08-23,11:05:58 | INFO | Train Epoch: 6 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29699 (0.33051) Loss: 0.29699 (0.33051)
2025-08-23,11:07:08 | INFO | Train Epoch: 6 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31235 (0.33046) Loss: 0.31235 (0.33046)
2025-08-23,11:08:18 | INFO | Train Epoch: 6 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37021 (0.33057) Loss: 0.37021 (0.33057)
2025-08-23,11:09:28 | INFO | Train Epoch: 6 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32810 (0.33056) Loss: 0.32810 (0.33056)
2025-08-23,11:10:37 | INFO | Train Epoch: 6 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25044 (0.33034) Loss: 0.25044 (0.33034)
2025-08-23,11:11:47 | INFO | Train Epoch: 6 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39831 (0.33053) Loss: 0.39831 (0.33053)
2025-08-23,11:12:57 | INFO | Train Epoch: 6 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28945 (0.33041) Loss: 0.28945 (0.33041)
2025-08-23,11:14:07 | INFO | Train Epoch: 6 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25885 (0.33022) Loss: 0.25885 (0.33022)
2025-08-23,11:15:16 | INFO | Train Epoch: 6 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30151 (0.33014) Loss: 0.30151 (0.33014)
2025-08-23,11:16:26 | INFO | Train Epoch: 6 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33615 (0.33016) Loss: 0.33615 (0.33016)
2025-08-23,11:17:36 | INFO | Train Epoch: 6 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35618 (0.33023) Loss: 0.35618 (0.33023)
2025-08-23,11:18:45 | INFO | Train Epoch: 6 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31240 (0.33018) Loss: 0.31240 (0.33018)
2025-08-23,11:19:55 | INFO | Train Epoch: 6 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31802 (0.33015) Loss: 0.31802 (0.33015)
2025-08-23,11:21:05 | INFO | Train Epoch: 6 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36405 (0.33024) Loss: 0.36405 (0.33024)
2025-08-23,11:22:15 | INFO | Train Epoch: 6 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28917 (0.33013) Loss: 0.28917 (0.33013)
2025-08-23,11:23:25 | INFO | Train Epoch: 6 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35531 (0.33019) Loss: 0.35531 (0.33019)
2025-08-23,11:24:34 | INFO | Train Epoch: 6 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32631 (0.33018) Loss: 0.32631 (0.33018)
2025-08-23,11:25:44 | INFO | Train Epoch: 6 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32942 (0.33018) Loss: 0.32942 (0.33018)
2025-08-23,11:26:54 | INFO | Train Epoch: 6 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32723 (0.33017) Loss: 0.32723 (0.33017)
2025-08-23,11:28:04 | INFO | Train Epoch: 6 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39563 (0.33035) Loss: 0.39563 (0.33035)
2025-08-23,11:29:13 | INFO | Train Epoch: 6 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32525 (0.33033) Loss: 0.32525 (0.33033)
2025-08-23,11:30:23 | INFO | Train Epoch: 6 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28258 (0.33021) Loss: 0.28258 (0.33021)
2025-08-23,11:31:33 | INFO | Train Epoch: 6 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35693 (0.33028) Loss: 0.35693 (0.33028)
2025-08-23,11:32:43 | INFO | Train Epoch: 6 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34442 (0.33032) Loss: 0.34442 (0.33032)
2025-08-23,11:33:52 | INFO | Train Epoch: 6 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30931 (0.33026) Loss: 0.30931 (0.33026)
2025-08-23,11:35:02 | INFO | Train Epoch: 6 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38385 (0.33040) Loss: 0.38385 (0.33040)
2025-08-23,11:36:12 | INFO | Train Epoch: 6 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35875 (0.33047) Loss: 0.35875 (0.33047)
2025-08-23,11:37:22 | INFO | Train Epoch: 6 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33443 (0.33048) Loss: 0.33443 (0.33048)
2025-08-23,11:38:32 | INFO | Train Epoch: 6 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32666 (0.33047) Loss: 0.32666 (0.33047)
2025-08-23,11:39:41 | INFO | Train Epoch: 6 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27276 (0.33033) Loss: 0.27276 (0.33033)
2025-08-23,11:40:51 | INFO | Train Epoch: 6 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32108 (0.33030) Loss: 0.32108 (0.33030)
2025-08-23,11:42:01 | INFO | Train Epoch: 6 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33906 (0.33032) Loss: 0.33906 (0.33032)
2025-08-23,11:43:11 | INFO | Train Epoch: 6 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36925 (0.33042) Loss: 0.36925 (0.33042)
2025-08-23,11:44:21 | INFO | Train Epoch: 6 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37269 (0.33053) Loss: 0.37269 (0.33053)
2025-08-23,11:45:30 | INFO | Train Epoch: 6 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36443 (0.33062) Loss: 0.36443 (0.33062)
2025-08-23,11:46:40 | INFO | Train Epoch: 6 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37537 (0.33073) Loss: 0.37537 (0.33073)
2025-08-23,11:47:50 | INFO | Train Epoch: 6 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35341 (0.33079) Loss: 0.35341 (0.33079)
2025-08-23,11:49:00 | INFO | Train Epoch: 6 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30316 (0.33072) Loss: 0.30316 (0.33072)
2025-08-23,11:50:10 | INFO | Train Epoch: 6 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37611 (0.33083) Loss: 0.37611 (0.33083)
2025-08-23,11:51:20 | INFO | Train Epoch: 6 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35533 (0.33089) Loss: 0.35533 (0.33089)
2025-08-23,11:52:30 | INFO | Train Epoch: 6 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39497 (0.33105) Loss: 0.39497 (0.33105)
2025-08-23,11:53:40 | INFO | Train Epoch: 6 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31355 (0.33101) Loss: 0.31355 (0.33101)
2025-08-23,11:54:49 | INFO | Train Epoch: 6 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36297 (0.33109) Loss: 0.36297 (0.33109)
2025-08-23,11:55:59 | INFO | Train Epoch: 6 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38947 (0.33123) Loss: 0.38947 (0.33123)
2025-08-23,11:57:09 | INFO | Train Epoch: 6 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25774 (0.33105) Loss: 0.25774 (0.33105)
2025-08-23,11:58:19 | INFO | Train Epoch: 6 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28684 (0.33094) Loss: 0.28684 (0.33094)
2025-08-23,11:59:29 | INFO | Train Epoch: 6 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35654 (0.33101) Loss: 0.35654 (0.33101)
2025-08-23,12:00:39 | INFO | Train Epoch: 6 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36401 (0.33109) Loss: 0.36401 (0.33109)
2025-08-23,12:01:49 | INFO | Train Epoch: 6 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29503 (0.33100) Loss: 0.29503 (0.33100)
2025-08-23,12:02:58 | INFO | Train Epoch: 6 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32144 (0.33098) Loss: 0.32144 (0.33098)
2025-08-23,12:04:08 | INFO | Train Epoch: 6 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39159 (0.33112) Loss: 0.39159 (0.33112)
2025-08-23,12:05:18 | INFO | Train Epoch: 6 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30476 (0.33106) Loss: 0.30476 (0.33106)
2025-08-23,12:06:28 | INFO | Train Epoch: 6 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39780 (0.33122) Loss: 0.39780 (0.33122)
2025-08-23,12:07:38 | INFO | Train Epoch: 6 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24168 (0.33100) Loss: 0.24168 (0.33100)
2025-08-23,12:08:48 | INFO | Train Epoch: 6 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28289 (0.33089) Loss: 0.28289 (0.33089)
2025-08-23,12:09:57 | INFO | Train Epoch: 6 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33225 (0.33089) Loss: 0.33225 (0.33089)
2025-08-23,12:11:07 | INFO | Train Epoch: 6 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35826 (0.33096) Loss: 0.35826 (0.33096)
2025-08-23,12:12:17 | INFO | Train Epoch: 6 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28092 (0.33084) Loss: 0.28092 (0.33084)
2025-08-23,12:13:27 | INFO | Train Epoch: 6 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38933 (0.33098) Loss: 0.38933 (0.33098)
2025-08-23,12:14:37 | INFO | Train Epoch: 6 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29792 (0.33090) Loss: 0.29792 (0.33090)
2025-08-23,12:15:47 | INFO | Train Epoch: 6 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30796 (0.33084) Loss: 0.30796 (0.33084)
2025-08-23,12:16:56 | INFO | Train Epoch: 6 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36135 (0.33092) Loss: 0.36135 (0.33092)
2025-08-23,12:18:06 | INFO | Train Epoch: 6 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35828 (0.33098) Loss: 0.35828 (0.33098)
2025-08-23,12:19:16 | INFO | Train Epoch: 6 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32286 (0.33096) Loss: 0.32286 (0.33096)
2025-08-23,12:20:26 | INFO | Train Epoch: 6 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30678 (0.33090) Loss: 0.30678 (0.33090)
2025-08-23,12:21:36 | INFO | Train Epoch: 6 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33438 (0.33091) Loss: 0.33438 (0.33091)
2025-08-23,12:22:46 | INFO | Train Epoch: 6 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34307 (0.33094) Loss: 0.34307 (0.33094)
2025-08-23,12:23:56 | INFO | Train Epoch: 6 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26868 (0.33080) Loss: 0.26868 (0.33080)
2025-08-23,12:25:06 | INFO | Train Epoch: 6 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28428 (0.33069) Loss: 0.28428 (0.33069)
2025-08-23,12:26:16 | INFO | Train Epoch: 6 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29090 (0.33059) Loss: 0.29090 (0.33059)
2025-08-23,12:27:26 | INFO | Train Epoch: 6 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28159 (0.33048) Loss: 0.28159 (0.33048)
2025-08-23,12:28:36 | INFO | Train Epoch: 6 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33803 (0.33050) Loss: 0.33803 (0.33050)
2025-08-23,12:29:45 | INFO | Train Epoch: 6 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29705 (0.33042) Loss: 0.29705 (0.33042)
2025-08-23,12:30:55 | INFO | Train Epoch: 6 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41559 (0.33062) Loss: 0.41559 (0.33062)
2025-08-23,12:32:05 | INFO | Train Epoch: 6 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33964 (0.33064) Loss: 0.33964 (0.33064)
2025-08-23,12:33:15 | INFO | Train Epoch: 6 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30049 (0.33057) Loss: 0.30049 (0.33057)
2025-08-23,12:34:25 | INFO | Train Epoch: 6 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30383 (0.33051) Loss: 0.30383 (0.33051)
2025-08-23,12:35:35 | INFO | Train Epoch: 6 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33257 (0.33051) Loss: 0.33257 (0.33051)
2025-08-23,12:36:44 | INFO | Train Epoch: 6 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34220 (0.33054) Loss: 0.34220 (0.33054)
2025-08-23,12:37:54 | INFO | Train Epoch: 6 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35475 (0.33059) Loss: 0.35475 (0.33059)
2025-08-23,12:39:04 | INFO | Train Epoch: 6 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33352 (0.33060) Loss: 0.33352 (0.33060)
2025-08-23,12:40:14 | INFO | Train Epoch: 6 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38701 (0.33073) Loss: 0.38701 (0.33073)
2025-08-23,12:41:24 | INFO | Train Epoch: 6 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31853 (0.33070) Loss: 0.31853 (0.33070)
2025-08-23,12:42:34 | INFO | Train Epoch: 6 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34406 (0.33073) Loss: 0.34406 (0.33073)
2025-08-23,12:43:43 | INFO | Train Epoch: 6 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32725 (0.33072) Loss: 0.32725 (0.33072)
2025-08-23,12:44:53 | INFO | Train Epoch: 6 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26811 (0.33058) Loss: 0.26811 (0.33058)
2025-08-23,12:46:03 | INFO | Train Epoch: 6 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32987 (0.33058) Loss: 0.32987 (0.33058)
2025-08-23,12:47:13 | INFO | Train Epoch: 6 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29621 (0.33050) Loss: 0.29621 (0.33050)
2025-08-23,12:48:23 | INFO | Train Epoch: 6 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33844 (0.33052) Loss: 0.33844 (0.33052)
2025-08-23,12:49:33 | INFO | Train Epoch: 6 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36754 (0.33060) Loss: 0.36754 (0.33060)
2025-08-23,12:50:43 | INFO | Train Epoch: 6 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30958 (0.33056) Loss: 0.30958 (0.33056)
2025-08-23,12:51:53 | INFO | Train Epoch: 6 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31408 (0.33052) Loss: 0.31408 (0.33052)
2025-08-23,12:53:03 | INFO | Train Epoch: 6 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33867 (0.33054) Loss: 0.33867 (0.33054)
2025-08-23,12:54:12 | INFO | Train Epoch: 6 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27075 (0.33041) Loss: 0.27075 (0.33041)
2025-08-23,12:55:22 | INFO | Train Epoch: 6 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34335 (0.33044) Loss: 0.34335 (0.33044)
2025-08-23,12:56:32 | INFO | Train Epoch: 6 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23145 (0.33022) Loss: 0.23145 (0.33022)
2025-08-23,12:57:42 | INFO | Train Epoch: 6 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31437 (0.33018) Loss: 0.31437 (0.33018)
2025-08-23,12:58:52 | INFO | Train Epoch: 6 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34213 (0.33021) Loss: 0.34213 (0.33021)
2025-08-23,13:00:02 | INFO | Train Epoch: 6 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35893 (0.33027) Loss: 0.35893 (0.33027)
2025-08-23,13:01:11 | INFO | Train Epoch: 6 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28879 (0.33018) Loss: 0.28879 (0.33018)
2025-08-23,13:02:21 | INFO | Train Epoch: 6 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35508 (0.33024) Loss: 0.35508 (0.33024)
2025-08-23,13:03:31 | INFO | Train Epoch: 6 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.38887 (0.33036) Loss: 0.38887 (0.33036)
2025-08-23,13:04:41 | INFO | Train Epoch: 6 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32786 (0.33036) Loss: 0.32786 (0.33036)
2025-08-23,13:05:51 | INFO | Train Epoch: 6 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32409 (0.33034) Loss: 0.32409 (0.33034)
2025-08-23,13:07:01 | INFO | Train Epoch: 6 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29006 (0.33026) Loss: 0.29006 (0.33026)
2025-08-23,13:08:10 | INFO | Train Epoch: 6 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39738 (0.33040) Loss: 0.39738 (0.33040)
2025-08-23,13:09:20 | INFO | Train Epoch: 6 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30856 (0.33035) Loss: 0.30856 (0.33035)
2025-08-23,13:10:30 | INFO | Train Epoch: 6 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34872 (0.33039) Loss: 0.34872 (0.33039)
2025-08-23,13:11:40 | INFO | Train Epoch: 6 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33661 (0.33041) Loss: 0.33661 (0.33041)
2025-08-23,13:12:50 | INFO | Train Epoch: 6 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28437 (0.33031) Loss: 0.28437 (0.33031)
2025-08-23,13:14:00 | INFO | Train Epoch: 6 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29089 (0.33022) Loss: 0.29089 (0.33022)
2025-08-23,13:15:09 | INFO | Train Epoch: 6 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32243 (0.33021) Loss: 0.32243 (0.33021)
2025-08-23,13:16:19 | INFO | Train Epoch: 6 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23635 (0.33001) Loss: 0.23635 (0.33001)
2025-08-23,13:17:29 | INFO | Train Epoch: 6 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33207 (0.33001) Loss: 0.33207 (0.33001)
2025-08-23,13:18:39 | INFO | Train Epoch: 6 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30636 (0.32996) Loss: 0.30636 (0.32996)
2025-08-23,13:19:49 | INFO | Train Epoch: 6 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26266 (0.32982) Loss: 0.26266 (0.32982)
2025-08-23,13:20:59 | INFO | Train Epoch: 6 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35596 (0.32988) Loss: 0.35596 (0.32988)
2025-08-23,13:22:08 | INFO | Train Epoch: 6 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27645 (0.32977) Loss: 0.27645 (0.32977)
2025-08-23,13:23:18 | INFO | Train Epoch: 6 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31085 (0.32973) Loss: 0.31085 (0.32973)
2025-08-23,13:24:28 | INFO | Train Epoch: 6 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30082 (0.32967) Loss: 0.30082 (0.32967)
2025-08-23,13:25:38 | INFO | Train Epoch: 6 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30834 (0.32962) Loss: 0.30834 (0.32962)
2025-08-23,13:26:48 | INFO | Train Epoch: 6 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28214 (0.32952) Loss: 0.28214 (0.32952)
2025-08-23,13:27:58 | INFO | Train Epoch: 6 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24351 (0.32934) Loss: 0.24351 (0.32934)
2025-08-23,13:29:08 | INFO | Train Epoch: 6 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32939 (0.32934) Loss: 0.32939 (0.32934)
2025-08-23,13:30:18 | INFO | Train Epoch: 6 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35166 (0.32939) Loss: 0.35166 (0.32939)
2025-08-23,13:31:28 | INFO | Train Epoch: 6 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32855 (0.32939) Loss: 0.32855 (0.32939)
2025-08-23,13:32:38 | INFO | Train Epoch: 6 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27347 (0.32927) Loss: 0.27347 (0.32927)
2025-08-23,13:33:48 | INFO | Train Epoch: 6 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29735 (0.32921) Loss: 0.29735 (0.32921)
2025-08-23,13:34:57 | INFO | Train Epoch: 6 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.45037 (0.32946) Loss: 0.45037 (0.32946)
2025-08-23,13:36:07 | INFO | Train Epoch: 6 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35093 (0.32950) Loss: 0.35093 (0.32950)
2025-08-23,13:37:17 | INFO | Train Epoch: 6 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35027 (0.32954) Loss: 0.35027 (0.32954)
2025-08-23,13:38:27 | INFO | Train Epoch: 6 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30611 (0.32949) Loss: 0.30611 (0.32949)
2025-08-23,13:39:37 | INFO | Train Epoch: 6 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28578 (0.32941) Loss: 0.28578 (0.32941)
2025-08-23,13:40:46 | INFO | Train Epoch: 6 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32036 (0.32939) Loss: 0.32036 (0.32939)
2025-08-23,13:41:57 | INFO | Train Epoch: 6 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29396 (0.32932) Loss: 0.29396 (0.32932)
2025-08-23,13:43:06 | INFO | Train Epoch: 6 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29759 (0.32925) Loss: 0.29759 (0.32925)
2025-08-23,13:44:16 | INFO | Train Epoch: 6 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33616 (0.32927) Loss: 0.33616 (0.32927)
2025-08-23,13:45:26 | INFO | Train Epoch: 6 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24160 (0.32909) Loss: 0.24160 (0.32909)
2025-08-23,13:46:36 | INFO | Train Epoch: 6 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35270 (0.32914) Loss: 0.35270 (0.32914)
2025-08-23,13:47:46 | INFO | Train Epoch: 6 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.41242 (0.32930) Loss: 0.41242 (0.32930)
2025-08-23,13:48:55 | INFO | Train Epoch: 6 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36140 (0.32937) Loss: 0.36140 (0.32937)
2025-08-23,13:50:05 | INFO | Train Epoch: 6 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36385 (0.32944) Loss: 0.36385 (0.32944)
2025-08-23,13:51:15 | INFO | Train Epoch: 6 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37479 (0.32953) Loss: 0.37479 (0.32953)
2025-08-23,13:52:25 | INFO | Train Epoch: 6 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33206 (0.32953) Loss: 0.33206 (0.32953)
2025-08-23,13:53:35 | INFO | Train Epoch: 6 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28409 (0.32944) Loss: 0.28409 (0.32944)
2025-08-23,13:54:45 | INFO | Train Epoch: 6 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32454 (0.32943) Loss: 0.32454 (0.32943)
2025-08-23,13:55:55 | INFO | Train Epoch: 6 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28153 (0.32934) Loss: 0.28153 (0.32934)
2025-08-23,13:57:04 | INFO | Train Epoch: 6 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26474 (0.32921) Loss: 0.26474 (0.32921)
2025-08-23,13:58:14 | INFO | Train Epoch: 6 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34373 (0.32924) Loss: 0.34373 (0.32924)
2025-08-23,13:59:24 | INFO | Train Epoch: 6 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31713 (0.32921) Loss: 0.31713 (0.32921)
2025-08-23,14:00:34 | INFO | Train Epoch: 6 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35279 (0.32926) Loss: 0.35279 (0.32926)
2025-08-23,14:01:44 | INFO | Train Epoch: 6 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36574 (0.32933) Loss: 0.36574 (0.32933)
2025-08-23,14:02:54 | INFO | Train Epoch: 6 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29044 (0.32926) Loss: 0.29044 (0.32926)
2025-08-23,14:04:04 | INFO | Train Epoch: 6 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29954 (0.32920) Loss: 0.29954 (0.32920)
2025-08-23,14:05:14 | INFO | Train Epoch: 6 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31776 (0.32918) Loss: 0.31776 (0.32918)
2025-08-23,14:06:23 | INFO | Train Epoch: 6 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36263 (0.32924) Loss: 0.36263 (0.32924)
2025-08-23,14:07:30 | INFO | Train Epoch: 6 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25810 (0.32910) Loss: 0.25810 (0.32910)
2025-08-23,14:07:30 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-23,14:07:30 | INFO | [Epoch 6] Average Step Time: 0.701s | Average GPU Memory: 43.4 GB
2025-08-23,14:07:30 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-23,14:07:30 | INFO | Starting zero-shot imagenet.
2025-08-23,14:07:30 | INFO | Building zero-shot classifier
2025-08-23,14:07:39 | INFO | Using classifier
2025-08-23,14:08:27 | INFO | Finished zero-shot imagenet.
2025-08-23,14:08:27 | INFO | Eval Epoch: 7 imagenet-zeroshot-val-top1: 0.2796	imagenet-zeroshot-val-top5: 0.5426
2025-08-23,14:08:28 | INFO | Start epoch 7
2025-08-23,14:08:31 | INFO | Train Epoch: 7 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22647 (0.22647) Loss: 0.22647 (0.22647)
2025-08-23,14:09:40 | INFO | Train Epoch: 7 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29351 (0.25999) Loss: 0.29351 (0.25999)
2025-08-23,14:10:50 | INFO | Train Epoch: 7 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26215 (0.26071) Loss: 0.26215 (0.26071)
2025-08-23,14:12:00 | INFO | Train Epoch: 7 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23265 (0.25369) Loss: 0.23265 (0.25369)
2025-08-23,14:13:09 | INFO | Train Epoch: 7 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22972 (0.24890) Loss: 0.22972 (0.24890)
2025-08-23,14:14:19 | INFO | Train Epoch: 7 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29757 (0.25701) Loss: 0.29757 (0.25701)
2025-08-23,14:15:29 | INFO | Train Epoch: 7 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26691 (0.25843) Loss: 0.26691 (0.25843)
2025-08-23,14:16:39 | INFO | Train Epoch: 7 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30423 (0.26415) Loss: 0.30423 (0.26415)
2025-08-23,14:17:48 | INFO | Train Epoch: 7 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21483 (0.25867) Loss: 0.21483 (0.25867)
2025-08-23,14:18:58 | INFO | Train Epoch: 7 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28350 (0.26115) Loss: 0.28350 (0.26115)
2025-08-23,14:20:08 | INFO | Train Epoch: 7 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26945 (0.26191) Loss: 0.26945 (0.26191)
2025-08-23,14:21:17 | INFO | Train Epoch: 7 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22587 (0.25890) Loss: 0.22587 (0.25890)
2025-08-23,14:22:27 | INFO | Train Epoch: 7 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31754 (0.26341) Loss: 0.31754 (0.26341)
2025-08-23,14:23:37 | INFO | Train Epoch: 7 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28552 (0.26499) Loss: 0.28552 (0.26499)
2025-08-23,14:24:46 | INFO | Train Epoch: 7 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28185 (0.26612) Loss: 0.28185 (0.26612)
2025-08-23,14:25:56 | INFO | Train Epoch: 7 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27382 (0.26660) Loss: 0.27382 (0.26660)
2025-08-23,14:27:06 | INFO | Train Epoch: 7 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23739 (0.26488) Loss: 0.23739 (0.26488)
2025-08-23,14:28:15 | INFO | Train Epoch: 7 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31024 (0.26740) Loss: 0.31024 (0.26740)
2025-08-23,14:29:25 | INFO | Train Epoch: 7 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25593 (0.26680) Loss: 0.25593 (0.26680)
2025-08-23,14:30:35 | INFO | Train Epoch: 7 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31498 (0.26921) Loss: 0.31498 (0.26921)
2025-08-23,14:31:44 | INFO | Train Epoch: 7 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26747 (0.26912) Loss: 0.26747 (0.26912)
2025-08-23,14:32:54 | INFO | Train Epoch: 7 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23816 (0.26772) Loss: 0.23816 (0.26772)
2025-08-23,14:34:04 | INFO | Train Epoch: 7 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21338 (0.26535) Loss: 0.21338 (0.26535)
2025-08-23,14:35:13 | INFO | Train Epoch: 7 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27085 (0.26558) Loss: 0.27085 (0.26558)
2025-08-23,14:36:23 | INFO | Train Epoch: 7 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23025 (0.26417) Loss: 0.23025 (0.26417)
2025-08-23,14:37:33 | INFO | Train Epoch: 7 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28780 (0.26508) Loss: 0.28780 (0.26508)
2025-08-23,14:38:43 | INFO | Train Epoch: 7 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23987 (0.26414) Loss: 0.23987 (0.26414)
2025-08-23,14:39:52 | INFO | Train Epoch: 7 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23595 (0.26314) Loss: 0.23595 (0.26314)
2025-08-23,14:41:02 | INFO | Train Epoch: 7 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33448 (0.26560) Loss: 0.33448 (0.26560)
2025-08-23,14:42:12 | INFO | Train Epoch: 7 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30463 (0.26690) Loss: 0.30463 (0.26690)
2025-08-23,14:43:22 | INFO | Train Epoch: 7 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20420 (0.26488) Loss: 0.20420 (0.26488)
2025-08-23,14:44:31 | INFO | Train Epoch: 7 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33715 (0.26713) Loss: 0.33715 (0.26713)
2025-08-23,14:45:41 | INFO | Train Epoch: 7 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29735 (0.26805) Loss: 0.29735 (0.26805)
2025-08-23,14:46:51 | INFO | Train Epoch: 7 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30956 (0.26927) Loss: 0.30956 (0.26927)
2025-08-23,14:48:01 | INFO | Train Epoch: 7 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27180 (0.26934) Loss: 0.27180 (0.26934)
2025-08-23,14:49:10 | INFO | Train Epoch: 7 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28200 (0.26969) Loss: 0.28200 (0.26969)
2025-08-23,14:50:20 | INFO | Train Epoch: 7 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24635 (0.26906) Loss: 0.24635 (0.26906)
2025-08-23,14:51:30 | INFO | Train Epoch: 7 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24571 (0.26845) Loss: 0.24571 (0.26845)
2025-08-23,14:52:39 | INFO | Train Epoch: 7 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28911 (0.26898) Loss: 0.28911 (0.26898)
2025-08-23,14:53:49 | INFO | Train Epoch: 7 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29055 (0.26952) Loss: 0.29055 (0.26952)
2025-08-23,14:54:58 | INFO | Train Epoch: 7 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30303 (0.27034) Loss: 0.30303 (0.27034)
2025-08-23,14:56:08 | INFO | Train Epoch: 7 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24598 (0.26976) Loss: 0.24598 (0.26976)
2025-08-23,14:57:18 | INFO | Train Epoch: 7 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24832 (0.26926) Loss: 0.24832 (0.26926)
2025-08-23,14:58:27 | INFO | Train Epoch: 7 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33755 (0.27081) Loss: 0.33755 (0.27081)
2025-08-23,14:59:37 | INFO | Train Epoch: 7 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35484 (0.27268) Loss: 0.35484 (0.27268)
2025-08-23,15:00:47 | INFO | Train Epoch: 7 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31359 (0.27357) Loss: 0.31359 (0.27357)
2025-08-23,15:01:57 | INFO | Train Epoch: 7 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27089 (0.27351) Loss: 0.27089 (0.27351)
2025-08-23,15:03:06 | INFO | Train Epoch: 7 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26446 (0.27332) Loss: 0.26446 (0.27332)
2025-08-23,15:04:16 | INFO | Train Epoch: 7 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29774 (0.27382) Loss: 0.29774 (0.27382)
2025-08-23,15:05:26 | INFO | Train Epoch: 7 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32646 (0.27487) Loss: 0.32646 (0.27487)
2025-08-23,15:06:36 | INFO | Train Epoch: 7 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31667 (0.27569) Loss: 0.31667 (0.27569)
2025-08-23,15:07:45 | INFO | Train Epoch: 7 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28602 (0.27589) Loss: 0.28602 (0.27589)
2025-08-23,15:08:55 | INFO | Train Epoch: 7 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33461 (0.27700) Loss: 0.33461 (0.27700)
2025-08-23,15:10:05 | INFO | Train Epoch: 7 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26859 (0.27684) Loss: 0.26859 (0.27684)
2025-08-23,15:11:15 | INFO | Train Epoch: 7 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25252 (0.27640) Loss: 0.25252 (0.27640)
2025-08-23,15:12:25 | INFO | Train Epoch: 7 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24592 (0.27586) Loss: 0.24592 (0.27586)
2025-08-23,15:13:34 | INFO | Train Epoch: 7 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22651 (0.27499) Loss: 0.22651 (0.27499)
2025-08-23,15:14:44 | INFO | Train Epoch: 7 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32860 (0.27591) Loss: 0.32860 (0.27591)
2025-08-23,15:15:54 | INFO | Train Epoch: 7 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21856 (0.27494) Loss: 0.21856 (0.27494)
2025-08-23,15:17:04 | INFO | Train Epoch: 7 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28497 (0.27511) Loss: 0.28497 (0.27511)
2025-08-23,15:18:14 | INFO | Train Epoch: 7 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27284 (0.27507) Loss: 0.27284 (0.27507)
2025-08-23,15:19:24 | INFO | Train Epoch: 7 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26937 (0.27498) Loss: 0.26937 (0.27498)
2025-08-23,15:20:33 | INFO | Train Epoch: 7 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27424 (0.27497) Loss: 0.27424 (0.27497)
2025-08-23,15:21:43 | INFO | Train Epoch: 7 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28398 (0.27511) Loss: 0.28398 (0.27511)
2025-08-23,15:22:53 | INFO | Train Epoch: 7 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30857 (0.27562) Loss: 0.30857 (0.27562)
2025-08-23,15:24:03 | INFO | Train Epoch: 7 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27165 (0.27556) Loss: 0.27165 (0.27556)
2025-08-23,15:25:12 | INFO | Train Epoch: 7 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24677 (0.27513) Loss: 0.24677 (0.27513)
2025-08-23,15:26:22 | INFO | Train Epoch: 7 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26040 (0.27492) Loss: 0.26040 (0.27492)
2025-08-23,15:27:32 | INFO | Train Epoch: 7 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23197 (0.27430) Loss: 0.23197 (0.27430)
2025-08-23,15:28:42 | INFO | Train Epoch: 7 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29578 (0.27460) Loss: 0.29578 (0.27460)
2025-08-23,15:29:51 | INFO | Train Epoch: 7 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28454 (0.27474) Loss: 0.28454 (0.27474)
2025-08-23,15:31:01 | INFO | Train Epoch: 7 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31033 (0.27524) Loss: 0.31033 (0.27524)
2025-08-23,15:32:11 | INFO | Train Epoch: 7 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24647 (0.27484) Loss: 0.24647 (0.27484)
2025-08-23,15:33:21 | INFO | Train Epoch: 7 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31067 (0.27533) Loss: 0.31067 (0.27533)
2025-08-23,15:34:31 | INFO | Train Epoch: 7 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34788 (0.27629) Loss: 0.34788 (0.27629)
2025-08-23,15:35:41 | INFO | Train Epoch: 7 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26452 (0.27614) Loss: 0.26452 (0.27614)
2025-08-23,15:36:50 | INFO | Train Epoch: 7 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25865 (0.27591) Loss: 0.25865 (0.27591)
2025-08-23,15:38:00 | INFO | Train Epoch: 7 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23566 (0.27540) Loss: 0.23566 (0.27540)
2025-08-23,15:39:10 | INFO | Train Epoch: 7 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32794 (0.27606) Loss: 0.32794 (0.27606)
2025-08-23,15:40:20 | INFO | Train Epoch: 7 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33416 (0.27679) Loss: 0.33416 (0.27679)
2025-08-23,15:41:29 | INFO | Train Epoch: 7 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25632 (0.27653) Loss: 0.25632 (0.27653)
2025-08-23,15:42:39 | INFO | Train Epoch: 7 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29082 (0.27671) Loss: 0.29082 (0.27671)
2025-08-23,15:43:49 | INFO | Train Epoch: 7 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29438 (0.27692) Loss: 0.29438 (0.27692)
2025-08-23,15:44:59 | INFO | Train Epoch: 7 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27502 (0.27690) Loss: 0.27502 (0.27690)
2025-08-23,15:46:09 | INFO | Train Epoch: 7 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25791 (0.27668) Loss: 0.25791 (0.27668)
2025-08-23,15:47:19 | INFO | Train Epoch: 7 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29702 (0.27691) Loss: 0.29702 (0.27691)
2025-08-23,15:48:29 | INFO | Train Epoch: 7 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31550 (0.27736) Loss: 0.31550 (0.27736)
2025-08-23,15:49:38 | INFO | Train Epoch: 7 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28832 (0.27748) Loss: 0.28832 (0.27748)
2025-08-23,15:50:48 | INFO | Train Epoch: 7 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24431 (0.27711) Loss: 0.24431 (0.27711)
2025-08-23,15:51:58 | INFO | Train Epoch: 7 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27543 (0.27709) Loss: 0.27543 (0.27709)
2025-08-23,15:53:08 | INFO | Train Epoch: 7 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34054 (0.27779) Loss: 0.34054 (0.27779)
2025-08-23,15:54:18 | INFO | Train Epoch: 7 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25961 (0.27759) Loss: 0.25961 (0.27759)
2025-08-23,15:55:27 | INFO | Train Epoch: 7 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27485 (0.27756) Loss: 0.27485 (0.27756)
2025-08-23,15:56:37 | INFO | Train Epoch: 7 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24718 (0.27724) Loss: 0.24718 (0.27724)
2025-08-23,15:57:47 | INFO | Train Epoch: 7 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27336 (0.27720) Loss: 0.27336 (0.27720)
2025-08-23,15:58:57 | INFO | Train Epoch: 7 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31535 (0.27759) Loss: 0.31535 (0.27759)
2025-08-23,16:00:07 | INFO | Train Epoch: 7 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32672 (0.27810) Loss: 0.32672 (0.27810)
2025-08-23,16:01:16 | INFO | Train Epoch: 7 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27544 (0.27807) Loss: 0.27544 (0.27807)
2025-08-23,16:02:26 | INFO | Train Epoch: 7 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19928 (0.27728) Loss: 0.19928 (0.27728)
2025-08-23,16:03:36 | INFO | Train Epoch: 7 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30389 (0.27754) Loss: 0.30389 (0.27754)
2025-08-23,16:04:46 | INFO | Train Epoch: 7 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30736 (0.27784) Loss: 0.30736 (0.27784)
2025-08-23,16:05:56 | INFO | Train Epoch: 7 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30384 (0.27809) Loss: 0.30384 (0.27809)
2025-08-23,16:07:05 | INFO | Train Epoch: 7 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25575 (0.27788) Loss: 0.25575 (0.27788)
2025-08-23,16:08:15 | INFO | Train Epoch: 7 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27955 (0.27789) Loss: 0.27955 (0.27789)
2025-08-23,16:09:25 | INFO | Train Epoch: 7 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28217 (0.27793) Loss: 0.28217 (0.27793)
2025-08-23,16:10:35 | INFO | Train Epoch: 7 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23268 (0.27751) Loss: 0.23268 (0.27751)
2025-08-23,16:11:45 | INFO | Train Epoch: 7 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27439 (0.27748) Loss: 0.27439 (0.27748)
2025-08-23,16:12:54 | INFO | Train Epoch: 7 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27519 (0.27746) Loss: 0.27519 (0.27746)
2025-08-23,16:14:04 | INFO | Train Epoch: 7 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26744 (0.27736) Loss: 0.26744 (0.27736)
2025-08-23,16:15:14 | INFO | Train Epoch: 7 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27686 (0.27736) Loss: 0.27686 (0.27736)
2025-08-23,16:16:24 | INFO | Train Epoch: 7 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24248 (0.27704) Loss: 0.24248 (0.27704)
2025-08-23,16:17:34 | INFO | Train Epoch: 7 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34186 (0.27762) Loss: 0.34186 (0.27762)
2025-08-23,16:18:44 | INFO | Train Epoch: 7 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29779 (0.27780) Loss: 0.29779 (0.27780)
2025-08-23,16:19:53 | INFO | Train Epoch: 7 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31132 (0.27810) Loss: 0.31132 (0.27810)
2025-08-23,16:21:03 | INFO | Train Epoch: 7 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27387 (0.27806) Loss: 0.27387 (0.27806)
2025-08-23,16:22:13 | INFO | Train Epoch: 7 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30175 (0.27826) Loss: 0.30175 (0.27826)
2025-08-23,16:23:23 | INFO | Train Epoch: 7 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23150 (0.27786) Loss: 0.23150 (0.27786)
2025-08-23,16:24:33 | INFO | Train Epoch: 7 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26269 (0.27773) Loss: 0.26269 (0.27773)
2025-08-23,16:25:43 | INFO | Train Epoch: 7 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24250 (0.27744) Loss: 0.24250 (0.27744)
2025-08-23,16:26:53 | INFO | Train Epoch: 7 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23878 (0.27712) Loss: 0.23878 (0.27712)
2025-08-23,16:28:02 | INFO | Train Epoch: 7 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35944 (0.27780) Loss: 0.35944 (0.27780)
2025-08-23,16:29:12 | INFO | Train Epoch: 7 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30338 (0.27801) Loss: 0.30338 (0.27801)
2025-08-23,16:30:22 | INFO | Train Epoch: 7 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22057 (0.27754) Loss: 0.22057 (0.27754)
2025-08-23,16:31:32 | INFO | Train Epoch: 7 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24775 (0.27730) Loss: 0.24775 (0.27730)
2025-08-23,16:32:42 | INFO | Train Epoch: 7 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24617 (0.27705) Loss: 0.24617 (0.27705)
2025-08-23,16:33:52 | INFO | Train Epoch: 7 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18949 (0.27636) Loss: 0.18949 (0.27636)
2025-08-23,16:35:02 | INFO | Train Epoch: 7 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26962 (0.27630) Loss: 0.26962 (0.27630)
2025-08-23,16:36:12 | INFO | Train Epoch: 7 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27285 (0.27628) Loss: 0.27285 (0.27628)
2025-08-23,16:37:21 | INFO | Train Epoch: 7 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24046 (0.27600) Loss: 0.24046 (0.27600)
2025-08-23,16:38:31 | INFO | Train Epoch: 7 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35866 (0.27663) Loss: 0.35866 (0.27663)
2025-08-23,16:39:41 | INFO | Train Epoch: 7 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32471 (0.27700) Loss: 0.32471 (0.27700)
2025-08-23,16:40:51 | INFO | Train Epoch: 7 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28064 (0.27703) Loss: 0.28064 (0.27703)
2025-08-23,16:42:01 | INFO | Train Epoch: 7 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27751 (0.27703) Loss: 0.27751 (0.27703)
2025-08-23,16:43:11 | INFO | Train Epoch: 7 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27758 (0.27704) Loss: 0.27758 (0.27704)
2025-08-23,16:44:21 | INFO | Train Epoch: 7 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26683 (0.27696) Loss: 0.26683 (0.27696)
2025-08-23,16:45:31 | INFO | Train Epoch: 7 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32633 (0.27732) Loss: 0.32633 (0.27732)
2025-08-23,16:46:40 | INFO | Train Epoch: 7 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25160 (0.27714) Loss: 0.25160 (0.27714)
2025-08-23,16:47:50 | INFO | Train Epoch: 7 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24120 (0.27688) Loss: 0.24120 (0.27688)
2025-08-23,16:49:00 | INFO | Train Epoch: 7 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26521 (0.27679) Loss: 0.26521 (0.27679)
2025-08-23,16:50:10 | INFO | Train Epoch: 7 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28330 (0.27684) Loss: 0.28330 (0.27684)
2025-08-23,16:51:20 | INFO | Train Epoch: 7 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30247 (0.27702) Loss: 0.30247 (0.27702)
2025-08-23,16:52:30 | INFO | Train Epoch: 7 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.37533 (0.27771) Loss: 0.37533 (0.27771)
2025-08-23,16:53:40 | INFO | Train Epoch: 7 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33558 (0.27812) Loss: 0.33558 (0.27812)
2025-08-23,16:54:50 | INFO | Train Epoch: 7 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29281 (0.27822) Loss: 0.29281 (0.27822)
2025-08-23,16:55:59 | INFO | Train Epoch: 7 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25982 (0.27809) Loss: 0.25982 (0.27809)
2025-08-23,16:57:09 | INFO | Train Epoch: 7 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28631 (0.27815) Loss: 0.28631 (0.27815)
2025-08-23,16:58:19 | INFO | Train Epoch: 7 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27948 (0.27816) Loss: 0.27948 (0.27816)
2025-08-23,16:59:29 | INFO | Train Epoch: 7 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33312 (0.27853) Loss: 0.33312 (0.27853)
2025-08-23,17:00:39 | INFO | Train Epoch: 7 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26105 (0.27841) Loss: 0.26105 (0.27841)
2025-08-23,17:01:49 | INFO | Train Epoch: 7 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27432 (0.27838) Loss: 0.27432 (0.27838)
2025-08-23,17:02:58 | INFO | Train Epoch: 7 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27601 (0.27837) Loss: 0.27601 (0.27837)
2025-08-23,17:04:08 | INFO | Train Epoch: 7 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26024 (0.27825) Loss: 0.26024 (0.27825)
2025-08-23,17:05:18 | INFO | Train Epoch: 7 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25979 (0.27813) Loss: 0.25979 (0.27813)
2025-08-23,17:06:28 | INFO | Train Epoch: 7 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23317 (0.27784) Loss: 0.23317 (0.27784)
2025-08-23,17:07:37 | INFO | Train Epoch: 7 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29608 (0.27795) Loss: 0.29608 (0.27795)
2025-08-23,17:08:47 | INFO | Train Epoch: 7 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26872 (0.27789) Loss: 0.26872 (0.27789)
2025-08-23,17:09:57 | INFO | Train Epoch: 7 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24275 (0.27767) Loss: 0.24275 (0.27767)
2025-08-23,17:11:07 | INFO | Train Epoch: 7 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32573 (0.27798) Loss: 0.32573 (0.27798)
2025-08-23,17:12:17 | INFO | Train Epoch: 7 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28497 (0.27802) Loss: 0.28497 (0.27802)
2025-08-23,17:13:27 | INFO | Train Epoch: 7 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24864 (0.27784) Loss: 0.24864 (0.27784)
2025-08-23,17:14:37 | INFO | Train Epoch: 7 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36750 (0.27839) Loss: 0.36750 (0.27839)
2025-08-23,17:15:47 | INFO | Train Epoch: 7 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25300 (0.27824) Loss: 0.25300 (0.27824)
2025-08-23,17:16:57 | INFO | Train Epoch: 7 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27431 (0.27821) Loss: 0.27431 (0.27821)
2025-08-23,17:18:06 | INFO | Train Epoch: 7 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29914 (0.27834) Loss: 0.29914 (0.27834)
2025-08-23,17:19:16 | INFO | Train Epoch: 7 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22805 (0.27803) Loss: 0.22805 (0.27803)
2025-08-23,17:20:26 | INFO | Train Epoch: 7 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29337 (0.27813) Loss: 0.29337 (0.27813)
2025-08-23,17:21:36 | INFO | Train Epoch: 7 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26458 (0.27805) Loss: 0.26458 (0.27805)
2025-08-23,17:22:46 | INFO | Train Epoch: 7 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28590 (0.27809) Loss: 0.28590 (0.27809)
2025-08-23,17:23:55 | INFO | Train Epoch: 7 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26409 (0.27801) Loss: 0.26409 (0.27801)
2025-08-23,17:25:05 | INFO | Train Epoch: 7 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23957 (0.27778) Loss: 0.23957 (0.27778)
2025-08-23,17:26:15 | INFO | Train Epoch: 7 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28281 (0.27781) Loss: 0.28281 (0.27781)
2025-08-23,17:27:25 | INFO | Train Epoch: 7 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20774 (0.27741) Loss: 0.20774 (0.27741)
2025-08-23,17:28:35 | INFO | Train Epoch: 7 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22153 (0.27708) Loss: 0.22153 (0.27708)
2025-08-23,17:29:45 | INFO | Train Epoch: 7 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22797 (0.27680) Loss: 0.22797 (0.27680)
2025-08-23,17:30:55 | INFO | Train Epoch: 7 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22118 (0.27648) Loss: 0.22118 (0.27648)
2025-08-23,17:32:05 | INFO | Train Epoch: 7 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27704 (0.27649) Loss: 0.27704 (0.27649)
2025-08-23,17:33:14 | INFO | Train Epoch: 7 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25233 (0.27635) Loss: 0.25233 (0.27635)
2025-08-23,17:34:24 | INFO | Train Epoch: 7 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24344 (0.27616) Loss: 0.24344 (0.27616)
2025-08-23,17:35:34 | INFO | Train Epoch: 7 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27424 (0.27615) Loss: 0.27424 (0.27615)
2025-08-23,17:36:44 | INFO | Train Epoch: 7 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22759 (0.27588) Loss: 0.22759 (0.27588)
2025-08-23,17:37:54 | INFO | Train Epoch: 7 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29584 (0.27599) Loss: 0.29584 (0.27599)
2025-08-23,17:39:04 | INFO | Train Epoch: 7 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25355 (0.27587) Loss: 0.25355 (0.27587)
2025-08-23,17:40:14 | INFO | Train Epoch: 7 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26998 (0.27584) Loss: 0.26998 (0.27584)
2025-08-23,17:41:24 | INFO | Train Epoch: 7 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21484 (0.27551) Loss: 0.21484 (0.27551)
2025-08-23,17:42:34 | INFO | Train Epoch: 7 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20903 (0.27515) Loss: 0.20903 (0.27515)
2025-08-23,17:43:44 | INFO | Train Epoch: 7 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20862 (0.27479) Loss: 0.20862 (0.27479)
2025-08-23,17:44:54 | INFO | Train Epoch: 7 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27871 (0.27481) Loss: 0.27871 (0.27481)
2025-08-23,17:46:03 | INFO | Train Epoch: 7 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20266 (0.27443) Loss: 0.20266 (0.27443)
2025-08-23,17:47:13 | INFO | Train Epoch: 7 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27931 (0.27445) Loss: 0.27931 (0.27445)
2025-08-23,17:48:23 | INFO | Train Epoch: 7 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25874 (0.27437) Loss: 0.25874 (0.27437)
2025-08-23,17:49:33 | INFO | Train Epoch: 7 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26246 (0.27431) Loss: 0.26246 (0.27431)
2025-08-23,17:50:43 | INFO | Train Epoch: 7 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29593 (0.27442) Loss: 0.29593 (0.27442)
2025-08-23,17:51:53 | INFO | Train Epoch: 7 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31109 (0.27461) Loss: 0.31109 (0.27461)
2025-08-23,17:53:03 | INFO | Train Epoch: 7 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26472 (0.27456) Loss: 0.26472 (0.27456)
2025-08-23,17:54:13 | INFO | Train Epoch: 7 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26046 (0.27449) Loss: 0.26046 (0.27449)
2025-08-23,17:55:23 | INFO | Train Epoch: 7 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28246 (0.27453) Loss: 0.28246 (0.27453)
2025-08-23,17:56:33 | INFO | Train Epoch: 7 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28313 (0.27457) Loss: 0.28313 (0.27457)
2025-08-23,17:57:42 | INFO | Train Epoch: 7 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30223 (0.27471) Loss: 0.30223 (0.27471)
2025-08-23,17:58:52 | INFO | Train Epoch: 7 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29922 (0.27483) Loss: 0.29922 (0.27483)
2025-08-23,18:00:02 | INFO | Train Epoch: 7 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28464 (0.27488) Loss: 0.28464 (0.27488)
2025-08-23,18:01:12 | INFO | Train Epoch: 7 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24986 (0.27476) Loss: 0.24986 (0.27476)
2025-08-23,18:02:22 | INFO | Train Epoch: 7 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33175 (0.27504) Loss: 0.33175 (0.27504)
2025-08-23,18:03:32 | INFO | Train Epoch: 7 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26063 (0.27497) Loss: 0.26063 (0.27497)
2025-08-23,18:04:41 | INFO | Train Epoch: 7 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22604 (0.27473) Loss: 0.22604 (0.27473)
2025-08-23,18:05:51 | INFO | Train Epoch: 7 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24214 (0.27457) Loss: 0.24214 (0.27457)
2025-08-23,18:07:01 | INFO | Train Epoch: 7 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30590 (0.27472) Loss: 0.30590 (0.27472)
2025-08-23,18:08:11 | INFO | Train Epoch: 7 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26540 (0.27468) Loss: 0.26540 (0.27468)
2025-08-23,18:09:21 | INFO | Train Epoch: 7 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32846 (0.27494) Loss: 0.32846 (0.27494)
2025-08-23,18:10:31 | INFO | Train Epoch: 7 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27645 (0.27494) Loss: 0.27645 (0.27494)
2025-08-23,18:11:41 | INFO | Train Epoch: 7 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27876 (0.27496) Loss: 0.27876 (0.27496)
2025-08-23,18:12:51 | INFO | Train Epoch: 7 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27604 (0.27497) Loss: 0.27604 (0.27497)
2025-08-23,18:14:01 | INFO | Train Epoch: 7 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28525 (0.27502) Loss: 0.28525 (0.27502)
2025-08-23,18:15:11 | INFO | Train Epoch: 7 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32677 (0.27526) Loss: 0.32677 (0.27526)
2025-08-23,18:16:21 | INFO | Train Epoch: 7 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32227 (0.27548) Loss: 0.32227 (0.27548)
2025-08-23,18:17:30 | INFO | Train Epoch: 7 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28725 (0.27553) Loss: 0.28725 (0.27553)
2025-08-23,18:18:40 | INFO | Train Epoch: 7 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22241 (0.27529) Loss: 0.22241 (0.27529)
2025-08-23,18:19:50 | INFO | Train Epoch: 7 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26126 (0.27522) Loss: 0.26126 (0.27522)
2025-08-23,18:21:00 | INFO | Train Epoch: 7 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31499 (0.27541) Loss: 0.31499 (0.27541)
2025-08-23,18:22:10 | INFO | Train Epoch: 7 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34492 (0.27572) Loss: 0.34492 (0.27572)
2025-08-23,18:23:20 | INFO | Train Epoch: 7 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31169 (0.27589) Loss: 0.31169 (0.27589)
2025-08-23,18:24:30 | INFO | Train Epoch: 7 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21466 (0.27561) Loss: 0.21466 (0.27561)
2025-08-23,18:25:39 | INFO | Train Epoch: 7 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24322 (0.27546) Loss: 0.24322 (0.27546)
2025-08-23,18:26:50 | INFO | Train Epoch: 7 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30728 (0.27561) Loss: 0.30728 (0.27561)
2025-08-23,18:27:59 | INFO | Train Epoch: 7 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34532 (0.27592) Loss: 0.34532 (0.27592)
2025-08-23,18:29:09 | INFO | Train Epoch: 7 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24087 (0.27576) Loss: 0.24087 (0.27576)
2025-08-23,18:30:19 | INFO | Train Epoch: 7 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20689 (0.27546) Loss: 0.20689 (0.27546)
2025-08-23,18:31:29 | INFO | Train Epoch: 7 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27081 (0.27544) Loss: 0.27081 (0.27544)
2025-08-23,18:32:39 | INFO | Train Epoch: 7 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35423 (0.27578) Loss: 0.35423 (0.27578)
2025-08-23,18:33:48 | INFO | Train Epoch: 7 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23302 (0.27559) Loss: 0.23302 (0.27559)
2025-08-23,18:34:58 | INFO | Train Epoch: 7 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26877 (0.27557) Loss: 0.26877 (0.27557)
2025-08-23,18:36:08 | INFO | Train Epoch: 7 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22524 (0.27535) Loss: 0.22524 (0.27535)
2025-08-23,18:37:18 | INFO | Train Epoch: 7 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22678 (0.27514) Loss: 0.22678 (0.27514)
2025-08-23,18:38:28 | INFO | Train Epoch: 7 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35816 (0.27549) Loss: 0.35816 (0.27549)
2025-08-23,18:39:38 | INFO | Train Epoch: 7 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31635 (0.27567) Loss: 0.31635 (0.27567)
2025-08-23,18:40:48 | INFO | Train Epoch: 7 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32555 (0.27588) Loss: 0.32555 (0.27588)
2025-08-23,18:41:58 | INFO | Train Epoch: 7 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26253 (0.27582) Loss: 0.26253 (0.27582)
2025-08-23,18:43:07 | INFO | Train Epoch: 7 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30252 (0.27594) Loss: 0.30252 (0.27594)
2025-08-23,18:44:17 | INFO | Train Epoch: 7 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22443 (0.27572) Loss: 0.22443 (0.27572)
2025-08-23,18:45:27 | INFO | Train Epoch: 7 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31463 (0.27588) Loss: 0.31463 (0.27588)
2025-08-23,18:46:37 | INFO | Train Epoch: 7 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28848 (0.27594) Loss: 0.28848 (0.27594)
2025-08-23,18:47:47 | INFO | Train Epoch: 7 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24842 (0.27582) Loss: 0.24842 (0.27582)
2025-08-23,18:48:56 | INFO | Train Epoch: 7 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19509 (0.27549) Loss: 0.19509 (0.27549)
2025-08-23,18:50:06 | INFO | Train Epoch: 7 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31712 (0.27566) Loss: 0.31712 (0.27566)
2025-08-23,18:51:16 | INFO | Train Epoch: 7 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25339 (0.27557) Loss: 0.25339 (0.27557)
2025-08-23,18:52:26 | INFO | Train Epoch: 7 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29400 (0.27564) Loss: 0.29400 (0.27564)
2025-08-23,18:53:36 | INFO | Train Epoch: 7 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20300 (0.27535) Loss: 0.20300 (0.27535)
2025-08-23,18:54:46 | INFO | Train Epoch: 7 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27205 (0.27533) Loss: 0.27205 (0.27533)
2025-08-23,18:55:56 | INFO | Train Epoch: 7 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23390 (0.27517) Loss: 0.23390 (0.27517)
2025-08-23,18:57:06 | INFO | Train Epoch: 7 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32092 (0.27535) Loss: 0.32092 (0.27535)
2025-08-23,18:58:16 | INFO | Train Epoch: 7 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26719 (0.27532) Loss: 0.26719 (0.27532)
2025-08-23,18:59:25 | INFO | Train Epoch: 7 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23207 (0.27515) Loss: 0.23207 (0.27515)
2025-08-23,19:00:35 | INFO | Train Epoch: 7 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17433 (0.27475) Loss: 0.17433 (0.27475)
2025-08-23,19:01:45 | INFO | Train Epoch: 7 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28150 (0.27477) Loss: 0.28150 (0.27477)
2025-08-23,19:02:55 | INFO | Train Epoch: 7 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26864 (0.27475) Loss: 0.26864 (0.27475)
2025-08-23,19:04:05 | INFO | Train Epoch: 7 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22614 (0.27456) Loss: 0.22614 (0.27456)
2025-08-23,19:05:15 | INFO | Train Epoch: 7 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29109 (0.27462) Loss: 0.29109 (0.27462)
2025-08-23,19:06:25 | INFO | Train Epoch: 7 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24568 (0.27451) Loss: 0.24568 (0.27451)
2025-08-23,19:07:35 | INFO | Train Epoch: 7 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26257 (0.27446) Loss: 0.26257 (0.27446)
2025-08-23,19:08:45 | INFO | Train Epoch: 7 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27838 (0.27448) Loss: 0.27838 (0.27448)
2025-08-23,19:09:55 | INFO | Train Epoch: 7 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.39056 (0.27493) Loss: 0.39056 (0.27493)
2025-08-23,19:11:05 | INFO | Train Epoch: 7 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29347 (0.27500) Loss: 0.29347 (0.27500)
2025-08-23,19:12:15 | INFO | Train Epoch: 7 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25139 (0.27491) Loss: 0.25139 (0.27491)
2025-08-23,19:13:25 | INFO | Train Epoch: 7 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29519 (0.27498) Loss: 0.29519 (0.27498)
2025-08-23,19:14:35 | INFO | Train Epoch: 7 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26779 (0.27496) Loss: 0.26779 (0.27496)
2025-08-23,19:15:44 | INFO | Train Epoch: 7 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26227 (0.27491) Loss: 0.26227 (0.27491)
2025-08-23,19:16:55 | INFO | Train Epoch: 7 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26125 (0.27486) Loss: 0.26125 (0.27486)
2025-08-23,19:18:04 | INFO | Train Epoch: 7 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23851 (0.27472) Loss: 0.23851 (0.27472)
2025-08-23,19:19:14 | INFO | Train Epoch: 7 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25371 (0.27464) Loss: 0.25371 (0.27464)
2025-08-23,19:20:24 | INFO | Train Epoch: 7 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21388 (0.27442) Loss: 0.21388 (0.27442)
2025-08-23,19:21:34 | INFO | Train Epoch: 7 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25665 (0.27435) Loss: 0.25665 (0.27435)
2025-08-23,19:22:43 | INFO | Train Epoch: 7 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24360 (0.27424) Loss: 0.24360 (0.27424)
2025-08-23,19:23:53 | INFO | Train Epoch: 7 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31160 (0.27438) Loss: 0.31160 (0.27438)
2025-08-23,19:25:03 | INFO | Train Epoch: 7 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26904 (0.27436) Loss: 0.26904 (0.27436)
2025-08-23,19:26:13 | INFO | Train Epoch: 7 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27735 (0.27437) Loss: 0.27735 (0.27437)
2025-08-23,19:27:23 | INFO | Train Epoch: 7 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29708 (0.27445) Loss: 0.29708 (0.27445)
2025-08-23,19:28:33 | INFO | Train Epoch: 7 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22174 (0.27426) Loss: 0.22174 (0.27426)
2025-08-23,19:29:43 | INFO | Train Epoch: 7 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26730 (0.27423) Loss: 0.26730 (0.27423)
2025-08-23,19:30:52 | INFO | Train Epoch: 7 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26508 (0.27420) Loss: 0.26508 (0.27420)
2025-08-23,19:32:02 | INFO | Train Epoch: 7 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26223 (0.27416) Loss: 0.26223 (0.27416)
2025-08-23,19:33:12 | INFO | Train Epoch: 7 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28178 (0.27418) Loss: 0.28178 (0.27418)
2025-08-23,19:34:22 | INFO | Train Epoch: 7 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29288 (0.27425) Loss: 0.29288 (0.27425)
2025-08-23,19:35:32 | INFO | Train Epoch: 7 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25081 (0.27417) Loss: 0.25081 (0.27417)
2025-08-23,19:36:42 | INFO | Train Epoch: 7 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25029 (0.27408) Loss: 0.25029 (0.27408)
2025-08-23,19:37:52 | INFO | Train Epoch: 7 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29169 (0.27415) Loss: 0.29169 (0.27415)
2025-08-23,19:39:02 | INFO | Train Epoch: 7 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23223 (0.27400) Loss: 0.23223 (0.27400)
2025-08-23,19:40:12 | INFO | Train Epoch: 7 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19300 (0.27372) Loss: 0.19300 (0.27372)
2025-08-23,19:41:22 | INFO | Train Epoch: 7 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27205 (0.27371) Loss: 0.27205 (0.27371)
2025-08-23,19:42:32 | INFO | Train Epoch: 7 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19352 (0.27343) Loss: 0.19352 (0.27343)
2025-08-23,19:43:42 | INFO | Train Epoch: 7 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31594 (0.27358) Loss: 0.31594 (0.27358)
2025-08-23,19:44:52 | INFO | Train Epoch: 7 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24458 (0.27348) Loss: 0.24458 (0.27348)
2025-08-23,19:46:02 | INFO | Train Epoch: 7 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26830 (0.27346) Loss: 0.26830 (0.27346)
2025-08-23,19:47:12 | INFO | Train Epoch: 7 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26039 (0.27342) Loss: 0.26039 (0.27342)
2025-08-23,19:48:22 | INFO | Train Epoch: 7 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24385 (0.27331) Loss: 0.24385 (0.27331)
2025-08-23,19:49:32 | INFO | Train Epoch: 7 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30382 (0.27342) Loss: 0.30382 (0.27342)
2025-08-23,19:50:42 | INFO | Train Epoch: 7 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26427 (0.27339) Loss: 0.26427 (0.27339)
2025-08-23,19:51:52 | INFO | Train Epoch: 7 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25750 (0.27333) Loss: 0.25750 (0.27333)
2025-08-23,19:53:02 | INFO | Train Epoch: 7 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24317 (0.27323) Loss: 0.24317 (0.27323)
2025-08-23,19:54:11 | INFO | Train Epoch: 7 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28109 (0.27326) Loss: 0.28109 (0.27326)
2025-08-23,19:55:21 | INFO | Train Epoch: 7 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31152 (0.27339) Loss: 0.31152 (0.27339)
2025-08-23,19:56:31 | INFO | Train Epoch: 7 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31020 (0.27351) Loss: 0.31020 (0.27351)
2025-08-23,19:57:41 | INFO | Train Epoch: 7 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27368 (0.27351) Loss: 0.27368 (0.27351)
2025-08-23,19:58:51 | INFO | Train Epoch: 7 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21891 (0.27333) Loss: 0.21891 (0.27333)
2025-08-23,20:00:01 | INFO | Train Epoch: 7 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34331 (0.27356) Loss: 0.34331 (0.27356)
2025-08-23,20:01:11 | INFO | Train Epoch: 7 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25662 (0.27350) Loss: 0.25662 (0.27350)
2025-08-23,20:02:21 | INFO | Train Epoch: 7 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28428 (0.27354) Loss: 0.28428 (0.27354)
2025-08-23,20:03:31 | INFO | Train Epoch: 7 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24255 (0.27344) Loss: 0.24255 (0.27344)
2025-08-23,20:04:41 | INFO | Train Epoch: 7 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23998 (0.27333) Loss: 0.23998 (0.27333)
2025-08-23,20:05:51 | INFO | Train Epoch: 7 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26069 (0.27329) Loss: 0.26069 (0.27329)
2025-08-23,20:07:01 | INFO | Train Epoch: 7 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29825 (0.27337) Loss: 0.29825 (0.27337)
2025-08-23,20:08:11 | INFO | Train Epoch: 7 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30423 (0.27347) Loss: 0.30423 (0.27347)
2025-08-23,20:09:21 | INFO | Train Epoch: 7 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32992 (0.27365) Loss: 0.32992 (0.27365)
2025-08-23,20:10:30 | INFO | Train Epoch: 7 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24550 (0.27356) Loss: 0.24550 (0.27356)
2025-08-23,20:11:40 | INFO | Train Epoch: 7 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29872 (0.27364) Loss: 0.29872 (0.27364)
2025-08-23,20:12:50 | INFO | Train Epoch: 7 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22063 (0.27347) Loss: 0.22063 (0.27347)
2025-08-23,20:14:00 | INFO | Train Epoch: 7 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22394 (0.27331) Loss: 0.22394 (0.27331)
2025-08-23,20:15:10 | INFO | Train Epoch: 7 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20953 (0.27311) Loss: 0.20953 (0.27311)
2025-08-23,20:16:20 | INFO | Train Epoch: 7 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21935 (0.27294) Loss: 0.21935 (0.27294)
2025-08-23,20:17:30 | INFO | Train Epoch: 7 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31807 (0.27308) Loss: 0.31807 (0.27308)
2025-08-23,20:18:40 | INFO | Train Epoch: 7 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30198 (0.27318) Loss: 0.30198 (0.27318)
2025-08-23,20:19:50 | INFO | Train Epoch: 7 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24407 (0.27308) Loss: 0.24407 (0.27308)
2025-08-23,20:21:00 | INFO | Train Epoch: 7 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27304 (0.27308) Loss: 0.27304 (0.27308)
2025-08-23,20:22:10 | INFO | Train Epoch: 7 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27091 (0.27308) Loss: 0.27091 (0.27308)
2025-08-23,20:23:20 | INFO | Train Epoch: 7 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29720 (0.27315) Loss: 0.29720 (0.27315)
2025-08-23,20:24:30 | INFO | Train Epoch: 7 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20741 (0.27295) Loss: 0.20741 (0.27295)
2025-08-23,20:25:40 | INFO | Train Epoch: 7 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31259 (0.27307) Loss: 0.31259 (0.27307)
2025-08-23,20:26:50 | INFO | Train Epoch: 7 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23525 (0.27296) Loss: 0.23525 (0.27296)
2025-08-23,20:28:00 | INFO | Train Epoch: 7 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25690 (0.27291) Loss: 0.25690 (0.27291)
2025-08-23,20:29:10 | INFO | Train Epoch: 7 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27042 (0.27290) Loss: 0.27042 (0.27290)
2025-08-23,20:30:20 | INFO | Train Epoch: 7 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30609 (0.27300) Loss: 0.30609 (0.27300)
2025-08-23,20:31:30 | INFO | Train Epoch: 7 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26290 (0.27297) Loss: 0.26290 (0.27297)
2025-08-23,20:32:39 | INFO | Train Epoch: 7 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24906 (0.27290) Loss: 0.24906 (0.27290)
2025-08-23,20:33:49 | INFO | Train Epoch: 7 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18768 (0.27264) Loss: 0.18768 (0.27264)
2025-08-23,20:34:59 | INFO | Train Epoch: 7 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28565 (0.27268) Loss: 0.28565 (0.27268)
2025-08-23,20:36:09 | INFO | Train Epoch: 7 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30414 (0.27277) Loss: 0.30414 (0.27277)
2025-08-23,20:37:19 | INFO | Train Epoch: 7 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32087 (0.27292) Loss: 0.32087 (0.27292)
2025-08-23,20:38:29 | INFO | Train Epoch: 7 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27016 (0.27291) Loss: 0.27016 (0.27291)
2025-08-23,20:39:39 | INFO | Train Epoch: 7 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29271 (0.27297) Loss: 0.29271 (0.27297)
2025-08-23,20:40:49 | INFO | Train Epoch: 7 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26120 (0.27293) Loss: 0.26120 (0.27293)
2025-08-23,20:41:59 | INFO | Train Epoch: 7 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22683 (0.27280) Loss: 0.22683 (0.27280)
2025-08-23,20:43:09 | INFO | Train Epoch: 7 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25329 (0.27274) Loss: 0.25329 (0.27274)
2025-08-23,20:44:19 | INFO | Train Epoch: 7 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24669 (0.27266) Loss: 0.24669 (0.27266)
2025-08-23,20:45:29 | INFO | Train Epoch: 7 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23591 (0.27256) Loss: 0.23591 (0.27256)
2025-08-23,20:46:39 | INFO | Train Epoch: 7 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36691 (0.27283) Loss: 0.36691 (0.27283)
2025-08-23,20:47:49 | INFO | Train Epoch: 7 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27393 (0.27283) Loss: 0.27393 (0.27283)
2025-08-23,20:48:59 | INFO | Train Epoch: 7 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30247 (0.27292) Loss: 0.30247 (0.27292)
2025-08-23,20:50:09 | INFO | Train Epoch: 7 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25244 (0.27286) Loss: 0.25244 (0.27286)
2025-08-23,20:51:18 | INFO | Train Epoch: 7 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22234 (0.27271) Loss: 0.22234 (0.27271)
2025-08-23,20:52:28 | INFO | Train Epoch: 7 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27093 (0.27271) Loss: 0.27093 (0.27271)
2025-08-23,20:53:38 | INFO | Train Epoch: 7 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23803 (0.27261) Loss: 0.23803 (0.27261)
2025-08-23,20:54:48 | INFO | Train Epoch: 7 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32127 (0.27275) Loss: 0.32127 (0.27275)
2025-08-23,20:55:58 | INFO | Train Epoch: 7 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23078 (0.27263) Loss: 0.23078 (0.27263)
2025-08-23,20:57:08 | INFO | Train Epoch: 7 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28786 (0.27267) Loss: 0.28786 (0.27267)
2025-08-23,20:58:18 | INFO | Train Epoch: 7 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31332 (0.27279) Loss: 0.31332 (0.27279)
2025-08-23,20:59:27 | INFO | Train Epoch: 7 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29269 (0.27284) Loss: 0.29269 (0.27284)
2025-08-23,21:00:37 | INFO | Train Epoch: 7 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30329 (0.27293) Loss: 0.30329 (0.27293)
2025-08-23,21:01:47 | INFO | Train Epoch: 7 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24035 (0.27284) Loss: 0.24035 (0.27284)
2025-08-23,21:02:57 | INFO | Train Epoch: 7 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24405 (0.27276) Loss: 0.24405 (0.27276)
2025-08-23,21:04:07 | INFO | Train Epoch: 7 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36792 (0.27302) Loss: 0.36792 (0.27302)
2025-08-23,21:05:17 | INFO | Train Epoch: 7 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31342 (0.27314) Loss: 0.31342 (0.27314)
2025-08-23,21:06:27 | INFO | Train Epoch: 7 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33546 (0.27331) Loss: 0.33546 (0.27331)
2025-08-23,21:07:37 | INFO | Train Epoch: 7 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23706 (0.27321) Loss: 0.23706 (0.27321)
2025-08-23,21:08:47 | INFO | Train Epoch: 7 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15973 (0.27290) Loss: 0.15973 (0.27290)
2025-08-23,21:09:56 | INFO | Train Epoch: 7 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22600 (0.27277) Loss: 0.22600 (0.27277)
2025-08-23,21:11:06 | INFO | Train Epoch: 7 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26169 (0.27274) Loss: 0.26169 (0.27274)
2025-08-23,21:12:16 | INFO | Train Epoch: 7 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25572 (0.27269) Loss: 0.25572 (0.27269)
2025-08-23,21:13:26 | INFO | Train Epoch: 7 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22996 (0.27257) Loss: 0.22996 (0.27257)
2025-08-23,21:14:37 | INFO | Train Epoch: 7 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25968 (0.27254) Loss: 0.25968 (0.27254)
2025-08-23,21:15:46 | INFO | Train Epoch: 7 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26187 (0.27251) Loss: 0.26187 (0.27251)
2025-08-23,21:16:56 | INFO | Train Epoch: 7 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33012 (0.27266) Loss: 0.33012 (0.27266)
2025-08-23,21:18:06 | INFO | Train Epoch: 7 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25704 (0.27262) Loss: 0.25704 (0.27262)
2025-08-23,21:19:16 | INFO | Train Epoch: 7 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24165 (0.27254) Loss: 0.24165 (0.27254)
2025-08-23,21:20:26 | INFO | Train Epoch: 7 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31168 (0.27264) Loss: 0.31168 (0.27264)
2025-08-23,21:21:36 | INFO | Train Epoch: 7 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28852 (0.27269) Loss: 0.28852 (0.27269)
2025-08-23,21:22:46 | INFO | Train Epoch: 7 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26511 (0.27267) Loss: 0.26511 (0.27267)
2025-08-23,21:23:56 | INFO | Train Epoch: 7 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26838 (0.27265) Loss: 0.26838 (0.27265)
2025-08-23,21:25:06 | INFO | Train Epoch: 7 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25514 (0.27261) Loss: 0.25514 (0.27261)
2025-08-23,21:26:16 | INFO | Train Epoch: 7 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29957 (0.27268) Loss: 0.29957 (0.27268)
2025-08-23,21:27:26 | INFO | Train Epoch: 7 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31429 (0.27279) Loss: 0.31429 (0.27279)
2025-08-23,21:28:36 | INFO | Train Epoch: 7 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24353 (0.27271) Loss: 0.24353 (0.27271)
2025-08-23,21:29:45 | INFO | Train Epoch: 7 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25359 (0.27266) Loss: 0.25359 (0.27266)
2025-08-23,21:30:55 | INFO | Train Epoch: 7 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27789 (0.27268) Loss: 0.27789 (0.27268)
2025-08-23,21:32:05 | INFO | Train Epoch: 7 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32233 (0.27281) Loss: 0.32233 (0.27281)
2025-08-23,21:33:15 | INFO | Train Epoch: 7 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33944 (0.27298) Loss: 0.33944 (0.27298)
2025-08-23,21:34:25 | INFO | Train Epoch: 7 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29294 (0.27303) Loss: 0.29294 (0.27303)
2025-08-23,21:35:35 | INFO | Train Epoch: 7 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18753 (0.27281) Loss: 0.18753 (0.27281)
2025-08-23,21:36:45 | INFO | Train Epoch: 7 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28785 (0.27285) Loss: 0.28785 (0.27285)
2025-08-23,21:37:55 | INFO | Train Epoch: 7 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28086 (0.27287) Loss: 0.28086 (0.27287)
2025-08-23,21:39:05 | INFO | Train Epoch: 7 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28886 (0.27291) Loss: 0.28886 (0.27291)
2025-08-23,21:40:15 | INFO | Train Epoch: 7 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27620 (0.27292) Loss: 0.27620 (0.27292)
2025-08-23,21:41:25 | INFO | Train Epoch: 7 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31888 (0.27304) Loss: 0.31888 (0.27304)
2025-08-23,21:42:35 | INFO | Train Epoch: 7 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35079 (0.27324) Loss: 0.35079 (0.27324)
2025-08-23,21:43:45 | INFO | Train Epoch: 7 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27197 (0.27323) Loss: 0.27197 (0.27323)
2025-08-23,21:44:55 | INFO | Train Epoch: 7 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27840 (0.27325) Loss: 0.27840 (0.27325)
2025-08-23,21:46:04 | INFO | Train Epoch: 7 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23100 (0.27314) Loss: 0.23100 (0.27314)
2025-08-23,21:47:14 | INFO | Train Epoch: 7 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29483 (0.27319) Loss: 0.29483 (0.27319)
2025-08-23,21:48:24 | INFO | Train Epoch: 7 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35114 (0.27339) Loss: 0.35114 (0.27339)
2025-08-23,21:49:34 | INFO | Train Epoch: 7 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25592 (0.27335) Loss: 0.25592 (0.27335)
2025-08-23,21:50:44 | INFO | Train Epoch: 7 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29856 (0.27341) Loss: 0.29856 (0.27341)
2025-08-23,21:51:54 | INFO | Train Epoch: 7 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28759 (0.27345) Loss: 0.28759 (0.27345)
2025-08-23,21:53:04 | INFO | Train Epoch: 7 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23209 (0.27334) Loss: 0.23209 (0.27334)
2025-08-23,21:54:14 | INFO | Train Epoch: 7 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24680 (0.27328) Loss: 0.24680 (0.27328)
2025-08-23,21:55:24 | INFO | Train Epoch: 7 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27461 (0.27328) Loss: 0.27461 (0.27328)
2025-08-23,21:56:34 | INFO | Train Epoch: 7 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30949 (0.27337) Loss: 0.30949 (0.27337)
2025-08-23,21:57:43 | INFO | Train Epoch: 7 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25090 (0.27331) Loss: 0.25090 (0.27331)
2025-08-23,21:58:53 | INFO | Train Epoch: 7 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30148 (0.27338) Loss: 0.30148 (0.27338)
2025-08-23,22:00:03 | INFO | Train Epoch: 7 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32015 (0.27350) Loss: 0.32015 (0.27350)
2025-08-23,22:01:13 | INFO | Train Epoch: 7 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29735 (0.27356) Loss: 0.29735 (0.27356)
2025-08-23,22:02:23 | INFO | Train Epoch: 7 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30067 (0.27362) Loss: 0.30067 (0.27362)
2025-08-23,22:03:33 | INFO | Train Epoch: 7 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25140 (0.27357) Loss: 0.25140 (0.27357)
2025-08-23,22:04:43 | INFO | Train Epoch: 7 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31595 (0.27367) Loss: 0.31595 (0.27367)
2025-08-23,22:05:53 | INFO | Train Epoch: 7 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27292 (0.27367) Loss: 0.27292 (0.27367)
2025-08-23,22:07:03 | INFO | Train Epoch: 7 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33006 (0.27381) Loss: 0.33006 (0.27381)
2025-08-23,22:08:12 | INFO | Train Epoch: 7 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30316 (0.27388) Loss: 0.30316 (0.27388)
2025-08-23,22:09:22 | INFO | Train Epoch: 7 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24031 (0.27380) Loss: 0.24031 (0.27380)
2025-08-23,22:10:32 | INFO | Train Epoch: 7 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25113 (0.27374) Loss: 0.25113 (0.27374)
2025-08-23,22:11:42 | INFO | Train Epoch: 7 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21023 (0.27359) Loss: 0.21023 (0.27359)
2025-08-23,22:12:52 | INFO | Train Epoch: 7 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28225 (0.27361) Loss: 0.28225 (0.27361)
2025-08-23,22:14:02 | INFO | Train Epoch: 7 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25167 (0.27356) Loss: 0.25167 (0.27356)
2025-08-23,22:15:12 | INFO | Train Epoch: 7 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35251 (0.27375) Loss: 0.35251 (0.27375)
2025-08-23,22:16:22 | INFO | Train Epoch: 7 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19065 (0.27355) Loss: 0.19065 (0.27355)
2025-08-23,22:17:31 | INFO | Train Epoch: 7 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29368 (0.27360) Loss: 0.29368 (0.27360)
2025-08-23,22:18:41 | INFO | Train Epoch: 7 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25957 (0.27356) Loss: 0.25957 (0.27356)
2025-08-23,22:19:51 | INFO | Train Epoch: 7 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26095 (0.27353) Loss: 0.26095 (0.27353)
2025-08-23,22:21:01 | INFO | Train Epoch: 7 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27730 (0.27354) Loss: 0.27730 (0.27354)
2025-08-23,22:22:11 | INFO | Train Epoch: 7 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25908 (0.27351) Loss: 0.25908 (0.27351)
2025-08-23,22:23:21 | INFO | Train Epoch: 7 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30781 (0.27359) Loss: 0.30781 (0.27359)
2025-08-23,22:24:31 | INFO | Train Epoch: 7 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20214 (0.27342) Loss: 0.20214 (0.27342)
2025-08-23,22:25:41 | INFO | Train Epoch: 7 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21024 (0.27327) Loss: 0.21024 (0.27327)
2025-08-23,22:26:51 | INFO | Train Epoch: 7 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29181 (0.27332) Loss: 0.29181 (0.27332)
2025-08-23,22:28:01 | INFO | Train Epoch: 7 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27862 (0.27333) Loss: 0.27862 (0.27333)
2025-08-23,22:29:11 | INFO | Train Epoch: 7 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.35318 (0.27351) Loss: 0.35318 (0.27351)
2025-08-23,22:30:21 | INFO | Train Epoch: 7 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27317 (0.27351) Loss: 0.27317 (0.27351)
2025-08-23,22:31:30 | INFO | Train Epoch: 7 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28191 (0.27353) Loss: 0.28191 (0.27353)
2025-08-23,22:32:40 | INFO | Train Epoch: 7 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24619 (0.27347) Loss: 0.24619 (0.27347)
2025-08-23,22:33:50 | INFO | Train Epoch: 7 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27127 (0.27347) Loss: 0.27127 (0.27347)
2025-08-23,22:35:00 | INFO | Train Epoch: 7 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29483 (0.27351) Loss: 0.29483 (0.27351)
2025-08-23,22:36:10 | INFO | Train Epoch: 7 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29942 (0.27357) Loss: 0.29942 (0.27357)
2025-08-23,22:37:20 | INFO | Train Epoch: 7 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34681 (0.27374) Loss: 0.34681 (0.27374)
2025-08-23,22:38:30 | INFO | Train Epoch: 7 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31272 (0.27383) Loss: 0.31272 (0.27383)
2025-08-23,22:39:39 | INFO | Train Epoch: 7 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28740 (0.27386) Loss: 0.28740 (0.27386)
2025-08-23,22:40:49 | INFO | Train Epoch: 7 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25271 (0.27381) Loss: 0.25271 (0.27381)
2025-08-23,22:41:59 | INFO | Train Epoch: 7 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25205 (0.27376) Loss: 0.25205 (0.27376)
2025-08-23,22:43:09 | INFO | Train Epoch: 7 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26033 (0.27373) Loss: 0.26033 (0.27373)
2025-08-23,22:44:19 | INFO | Train Epoch: 7 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27614 (0.27374) Loss: 0.27614 (0.27374)
2025-08-23,22:45:29 | INFO | Train Epoch: 7 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24758 (0.27368) Loss: 0.24758 (0.27368)
2025-08-23,22:46:39 | INFO | Train Epoch: 7 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27786 (0.27369) Loss: 0.27786 (0.27369)
2025-08-23,22:47:49 | INFO | Train Epoch: 7 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25521 (0.27365) Loss: 0.25521 (0.27365)
2025-08-23,22:48:59 | INFO | Train Epoch: 7 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25582 (0.27361) Loss: 0.25582 (0.27361)
2025-08-23,22:50:08 | INFO | Train Epoch: 7 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27885 (0.27362) Loss: 0.27885 (0.27362)
2025-08-23,22:51:18 | INFO | Train Epoch: 7 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32351 (0.27373) Loss: 0.32351 (0.27373)
2025-08-23,22:52:28 | INFO | Train Epoch: 7 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.34773 (0.27389) Loss: 0.34773 (0.27389)
2025-08-23,22:53:38 | INFO | Train Epoch: 7 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31548 (0.27399) Loss: 0.31548 (0.27399)
2025-08-23,22:54:48 | INFO | Train Epoch: 7 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27688 (0.27399) Loss: 0.27688 (0.27399)
2025-08-23,22:55:58 | INFO | Train Epoch: 7 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29622 (0.27404) Loss: 0.29622 (0.27404)
2025-08-23,22:57:08 | INFO | Train Epoch: 7 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22532 (0.27393) Loss: 0.22532 (0.27393)
2025-08-23,22:58:18 | INFO | Train Epoch: 7 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22963 (0.27384) Loss: 0.22963 (0.27384)
2025-08-23,22:59:28 | INFO | Train Epoch: 7 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24274 (0.27377) Loss: 0.24274 (0.27377)
2025-08-23,23:00:38 | INFO | Train Epoch: 7 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27946 (0.27378) Loss: 0.27946 (0.27378)
2025-08-23,23:01:47 | INFO | Train Epoch: 7 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25944 (0.27375) Loss: 0.25944 (0.27375)
2025-08-23,23:02:57 | INFO | Train Epoch: 7 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33679 (0.27389) Loss: 0.33679 (0.27389)
2025-08-23,23:04:07 | INFO | Train Epoch: 7 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29378 (0.27393) Loss: 0.29378 (0.27393)
2025-08-23,23:05:17 | INFO | Train Epoch: 7 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23192 (0.27384) Loss: 0.23192 (0.27384)
2025-08-23,23:06:27 | INFO | Train Epoch: 7 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25658 (0.27380) Loss: 0.25658 (0.27380)
2025-08-23,23:07:37 | INFO | Train Epoch: 7 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27143 (0.27380) Loss: 0.27143 (0.27380)
2025-08-23,23:08:47 | INFO | Train Epoch: 7 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24922 (0.27374) Loss: 0.24922 (0.27374)
2025-08-23,23:09:57 | INFO | Train Epoch: 7 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25349 (0.27370) Loss: 0.25349 (0.27370)
2025-08-23,23:11:07 | INFO | Train Epoch: 7 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30119 (0.27376) Loss: 0.30119 (0.27376)
2025-08-23,23:12:17 | INFO | Train Epoch: 7 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23923 (0.27369) Loss: 0.23923 (0.27369)
2025-08-23,23:13:27 | INFO | Train Epoch: 7 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28690 (0.27371) Loss: 0.28690 (0.27371)
2025-08-23,23:14:37 | INFO | Train Epoch: 7 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26622 (0.27370) Loss: 0.26622 (0.27370)
2025-08-23,23:15:47 | INFO | Train Epoch: 7 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26184 (0.27367) Loss: 0.26184 (0.27367)
2025-08-23,23:16:57 | INFO | Train Epoch: 7 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21814 (0.27356) Loss: 0.21814 (0.27356)
2025-08-23,23:18:07 | INFO | Train Epoch: 7 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23646 (0.27348) Loss: 0.23646 (0.27348)
2025-08-23,23:19:17 | INFO | Train Epoch: 7 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22966 (0.27338) Loss: 0.22966 (0.27338)
2025-08-23,23:20:26 | INFO | Train Epoch: 7 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23449 (0.27330) Loss: 0.23449 (0.27330)
2025-08-23,23:21:36 | INFO | Train Epoch: 7 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30357 (0.27337) Loss: 0.30357 (0.27337)
2025-08-23,23:22:46 | INFO | Train Epoch: 7 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23158 (0.27328) Loss: 0.23158 (0.27328)
2025-08-23,23:23:56 | INFO | Train Epoch: 7 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30259 (0.27334) Loss: 0.30259 (0.27334)
2025-08-23,23:25:06 | INFO | Train Epoch: 7 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31013 (0.27342) Loss: 0.31013 (0.27342)
2025-08-23,23:26:16 | INFO | Train Epoch: 7 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31103 (0.27350) Loss: 0.31103 (0.27350)
2025-08-23,23:27:26 | INFO | Train Epoch: 7 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28560 (0.27352) Loss: 0.28560 (0.27352)
2025-08-23,23:28:36 | INFO | Train Epoch: 7 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.33827 (0.27365) Loss: 0.33827 (0.27365)
2025-08-23,23:29:45 | INFO | Train Epoch: 7 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29352 (0.27370) Loss: 0.29352 (0.27370)
2025-08-23,23:30:55 | INFO | Train Epoch: 7 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24776 (0.27364) Loss: 0.24776 (0.27364)
2025-08-23,23:32:05 | INFO | Train Epoch: 7 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26564 (0.27363) Loss: 0.26564 (0.27363)
2025-08-23,23:33:15 | INFO | Train Epoch: 7 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25552 (0.27359) Loss: 0.25552 (0.27359)
2025-08-23,23:34:25 | INFO | Train Epoch: 7 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26005 (0.27356) Loss: 0.26005 (0.27356)
2025-08-23,23:35:35 | INFO | Train Epoch: 7 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23844 (0.27349) Loss: 0.23844 (0.27349)
2025-08-23,23:36:45 | INFO | Train Epoch: 7 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28362 (0.27351) Loss: 0.28362 (0.27351)
2025-08-23,23:37:55 | INFO | Train Epoch: 7 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27995 (0.27352) Loss: 0.27995 (0.27352)
2025-08-23,23:39:05 | INFO | Train Epoch: 7 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24919 (0.27347) Loss: 0.24919 (0.27347)
2025-08-23,23:40:14 | INFO | Train Epoch: 7 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26997 (0.27347) Loss: 0.26997 (0.27347)
2025-08-23,23:41:24 | INFO | Train Epoch: 7 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28428 (0.27349) Loss: 0.28428 (0.27349)
2025-08-23,23:42:34 | INFO | Train Epoch: 7 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24911 (0.27344) Loss: 0.24911 (0.27344)
2025-08-23,23:43:44 | INFO | Train Epoch: 7 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26330 (0.27342) Loss: 0.26330 (0.27342)
2025-08-23,23:44:54 | INFO | Train Epoch: 7 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19239 (0.27325) Loss: 0.19239 (0.27325)
2025-08-23,23:46:04 | INFO | Train Epoch: 7 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28025 (0.27327) Loss: 0.28025 (0.27327)
2025-08-23,23:47:14 | INFO | Train Epoch: 7 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26425 (0.27325) Loss: 0.26425 (0.27325)
2025-08-23,23:48:24 | INFO | Train Epoch: 7 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24002 (0.27318) Loss: 0.24002 (0.27318)
2025-08-23,23:49:34 | INFO | Train Epoch: 7 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23339 (0.27310) Loss: 0.23339 (0.27310)
2025-08-23,23:50:44 | INFO | Train Epoch: 7 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28659 (0.27313) Loss: 0.28659 (0.27313)
2025-08-23,23:51:54 | INFO | Train Epoch: 7 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19156 (0.27297) Loss: 0.19156 (0.27297)
2025-08-23,23:53:04 | INFO | Train Epoch: 7 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20629 (0.27284) Loss: 0.20629 (0.27284)
2025-08-23,23:54:13 | INFO | Train Epoch: 7 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30812 (0.27291) Loss: 0.30812 (0.27291)
2025-08-23,23:55:23 | INFO | Train Epoch: 7 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.36660 (0.27309) Loss: 0.36660 (0.27309)
2025-08-23,23:56:33 | INFO | Train Epoch: 7 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31696 (0.27318) Loss: 0.31696 (0.27318)
2025-08-23,23:57:43 | INFO | Train Epoch: 7 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25821 (0.27315) Loss: 0.25821 (0.27315)
2025-08-23,23:58:53 | INFO | Train Epoch: 7 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24265 (0.27309) Loss: 0.24265 (0.27309)
2025-08-24,00:00:03 | INFO | Train Epoch: 7 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25758 (0.27306) Loss: 0.25758 (0.27306)
2025-08-24,00:01:13 | INFO | Train Epoch: 7 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.31004 (0.27313) Loss: 0.31004 (0.27313)
2025-08-24,00:02:23 | INFO | Train Epoch: 7 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26242 (0.27311) Loss: 0.26242 (0.27311)
2025-08-24,00:03:33 | INFO | Train Epoch: 7 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22469 (0.27302) Loss: 0.22469 (0.27302)
2025-08-24,00:04:43 | INFO | Train Epoch: 7 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24190 (0.27295) Loss: 0.24190 (0.27295)
2025-08-24,00:05:53 | INFO | Train Epoch: 7 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30642 (0.27302) Loss: 0.30642 (0.27302)
2025-08-24,00:07:03 | INFO | Train Epoch: 7 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25994 (0.27299) Loss: 0.25994 (0.27299)
2025-08-24,00:08:09 | INFO | Train Epoch: 7 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26771 (0.27298) Loss: 0.26771 (0.27298)
2025-08-24,00:08:09 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-24,00:08:09 | INFO | [Epoch 7] Average Step Time: 0.701s | Average GPU Memory: 43.4 GB
2025-08-24,00:08:09 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-24,00:08:09 | INFO | Starting zero-shot imagenet.
2025-08-24,00:08:09 | INFO | Building zero-shot classifier
2025-08-24,00:08:18 | INFO | Using classifier
2025-08-24,00:09:01 | INFO | Finished zero-shot imagenet.
2025-08-24,00:09:01 | INFO | Eval Epoch: 8 imagenet-zeroshot-val-top1: 0.2796	imagenet-zeroshot-val-top5: 0.5447
2025-08-24,00:09:02 | INFO | Start epoch 8
2025-08-24,00:09:05 | INFO | Train Epoch: 8 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26469 (0.26469) Loss: 0.26469 (0.26469)
2025-08-24,00:10:14 | INFO | Train Epoch: 8 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21830 (0.24150) Loss: 0.21830 (0.24150)
2025-08-24,00:11:24 | INFO | Train Epoch: 8 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24503 (0.24267) Loss: 0.24503 (0.24267)
2025-08-24,00:12:34 | INFO | Train Epoch: 8 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18326 (0.22782) Loss: 0.18326 (0.22782)
2025-08-24,00:13:43 | INFO | Train Epoch: 8 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23500 (0.22925) Loss: 0.23500 (0.22925)
2025-08-24,00:14:53 | INFO | Train Epoch: 8 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15090 (0.21620) Loss: 0.15090 (0.21620)
2025-08-24,00:16:03 | INFO | Train Epoch: 8 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22114 (0.21690) Loss: 0.22114 (0.21690)
2025-08-24,00:17:13 | INFO | Train Epoch: 8 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26704 (0.22317) Loss: 0.26704 (0.22317)
2025-08-24,00:18:22 | INFO | Train Epoch: 8 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21118 (0.22184) Loss: 0.21118 (0.22184)
2025-08-24,00:19:32 | INFO | Train Epoch: 8 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22150 (0.22180) Loss: 0.22150 (0.22180)
2025-08-24,00:20:42 | INFO | Train Epoch: 8 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21493 (0.22118) Loss: 0.21493 (0.22118)
2025-08-24,00:21:51 | INFO | Train Epoch: 8 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25260 (0.22380) Loss: 0.25260 (0.22380)
2025-08-24,00:23:01 | INFO | Train Epoch: 8 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23431 (0.22461) Loss: 0.23431 (0.22461)
2025-08-24,00:24:11 | INFO | Train Epoch: 8 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23466 (0.22532) Loss: 0.23466 (0.22532)
2025-08-24,00:25:21 | INFO | Train Epoch: 8 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23138 (0.22573) Loss: 0.23138 (0.22573)
2025-08-24,00:26:30 | INFO | Train Epoch: 8 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27263 (0.22866) Loss: 0.27263 (0.22866)
2025-08-24,00:27:40 | INFO | Train Epoch: 8 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19815 (0.22686) Loss: 0.19815 (0.22686)
2025-08-24,00:28:49 | INFO | Train Epoch: 8 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20798 (0.22582) Loss: 0.20798 (0.22582)
2025-08-24,00:29:59 | INFO | Train Epoch: 8 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25915 (0.22757) Loss: 0.25915 (0.22757)
2025-08-24,00:31:09 | INFO | Train Epoch: 8 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27603 (0.22999) Loss: 0.27603 (0.22999)
2025-08-24,00:32:18 | INFO | Train Epoch: 8 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19534 (0.22834) Loss: 0.19534 (0.22834)
2025-08-24,00:33:28 | INFO | Train Epoch: 8 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18884 (0.22655) Loss: 0.18884 (0.22655)
2025-08-24,00:34:38 | INFO | Train Epoch: 8 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19838 (0.22532) Loss: 0.19838 (0.22532)
2025-08-24,00:35:48 | INFO | Train Epoch: 8 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29597 (0.22827) Loss: 0.29597 (0.22827)
2025-08-24,00:36:57 | INFO | Train Epoch: 8 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19648 (0.22699) Loss: 0.19648 (0.22699)
2025-08-24,00:38:07 | INFO | Train Epoch: 8 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25405 (0.22804) Loss: 0.25405 (0.22804)
2025-08-24,00:39:17 | INFO | Train Epoch: 8 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29564 (0.23054) Loss: 0.29564 (0.23054)
2025-08-24,00:40:27 | INFO | Train Epoch: 8 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22297 (0.23027) Loss: 0.22297 (0.23027)
2025-08-24,00:41:36 | INFO | Train Epoch: 8 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27000 (0.23164) Loss: 0.27000 (0.23164)
2025-08-24,00:42:46 | INFO | Train Epoch: 8 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22461 (0.23140) Loss: 0.22461 (0.23140)
2025-08-24,00:43:56 | INFO | Train Epoch: 8 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23638 (0.23157) Loss: 0.23638 (0.23157)
2025-08-24,00:45:05 | INFO | Train Epoch: 8 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19975 (0.23057) Loss: 0.19975 (0.23057)
2025-08-24,00:46:15 | INFO | Train Epoch: 8 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23312 (0.23065) Loss: 0.23312 (0.23065)
2025-08-24,00:47:25 | INFO | Train Epoch: 8 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19005 (0.22945) Loss: 0.19005 (0.22945)
2025-08-24,00:48:34 | INFO | Train Epoch: 8 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21417 (0.22902) Loss: 0.21417 (0.22902)
2025-08-24,00:49:44 | INFO | Train Epoch: 8 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21466 (0.22862) Loss: 0.21466 (0.22862)
2025-08-24,00:50:54 | INFO | Train Epoch: 8 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22231 (0.22845) Loss: 0.22231 (0.22845)
2025-08-24,00:52:03 | INFO | Train Epoch: 8 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25362 (0.22911) Loss: 0.25362 (0.22911)
2025-08-24,00:53:13 | INFO | Train Epoch: 8 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24079 (0.22941) Loss: 0.24079 (0.22941)
2025-08-24,00:54:23 | INFO | Train Epoch: 8 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20826 (0.22888) Loss: 0.20826 (0.22888)
2025-08-24,00:55:33 | INFO | Train Epoch: 8 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22970 (0.22890) Loss: 0.22970 (0.22890)
2025-08-24,00:56:43 | INFO | Train Epoch: 8 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23865 (0.22913) Loss: 0.23865 (0.22913)
2025-08-24,00:57:53 | INFO | Train Epoch: 8 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23133 (0.22919) Loss: 0.23133 (0.22919)
2025-08-24,00:59:02 | INFO | Train Epoch: 8 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19803 (0.22848) Loss: 0.19803 (0.22848)
2025-08-24,01:00:12 | INFO | Train Epoch: 8 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20269 (0.22790) Loss: 0.20269 (0.22790)
2025-08-24,01:01:22 | INFO | Train Epoch: 8 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29660 (0.22940) Loss: 0.29660 (0.22940)
2025-08-24,01:02:32 | INFO | Train Epoch: 8 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18332 (0.22842) Loss: 0.18332 (0.22842)
2025-08-24,01:03:41 | INFO | Train Epoch: 8 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18798 (0.22757) Loss: 0.18798 (0.22757)
2025-08-24,01:04:51 | INFO | Train Epoch: 8 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21761 (0.22737) Loss: 0.21761 (0.22737)
2025-08-24,01:06:01 | INFO | Train Epoch: 8 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18456 (0.22652) Loss: 0.18456 (0.22652)
2025-08-24,01:07:11 | INFO | Train Epoch: 8 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22023 (0.22639) Loss: 0.22023 (0.22639)
2025-08-24,01:08:21 | INFO | Train Epoch: 8 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20869 (0.22605) Loss: 0.20869 (0.22605)
2025-08-24,01:09:30 | INFO | Train Epoch: 8 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23482 (0.22622) Loss: 0.23482 (0.22622)
2025-08-24,01:10:40 | INFO | Train Epoch: 8 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24303 (0.22653) Loss: 0.24303 (0.22653)
2025-08-24,01:11:50 | INFO | Train Epoch: 8 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23664 (0.22671) Loss: 0.23664 (0.22671)
2025-08-24,01:13:00 | INFO | Train Epoch: 8 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20450 (0.22632) Loss: 0.20450 (0.22632)
2025-08-24,01:14:10 | INFO | Train Epoch: 8 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25958 (0.22690) Loss: 0.25958 (0.22690)
2025-08-24,01:15:20 | INFO | Train Epoch: 8 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21687 (0.22673) Loss: 0.21687 (0.22673)
2025-08-24,01:16:30 | INFO | Train Epoch: 8 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20951 (0.22643) Loss: 0.20951 (0.22643)
2025-08-24,01:17:39 | INFO | Train Epoch: 8 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21900 (0.22631) Loss: 0.21900 (0.22631)
2025-08-24,01:18:49 | INFO | Train Epoch: 8 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17822 (0.22552) Loss: 0.17822 (0.22552)
2025-08-24,01:19:59 | INFO | Train Epoch: 8 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24204 (0.22579) Loss: 0.24204 (0.22579)
2025-08-24,01:21:09 | INFO | Train Epoch: 8 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27598 (0.22659) Loss: 0.27598 (0.22659)
2025-08-24,01:22:18 | INFO | Train Epoch: 8 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19506 (0.22609) Loss: 0.19506 (0.22609)
2025-08-24,01:23:28 | INFO | Train Epoch: 8 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26347 (0.22667) Loss: 0.26347 (0.22667)
2025-08-24,01:24:38 | INFO | Train Epoch: 8 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23210 (0.22675) Loss: 0.23210 (0.22675)
2025-08-24,01:25:48 | INFO | Train Epoch: 8 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25188 (0.22712) Loss: 0.25188 (0.22712)
2025-08-24,01:26:58 | INFO | Train Epoch: 8 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20021 (0.22673) Loss: 0.20021 (0.22673)
2025-08-24,01:28:08 | INFO | Train Epoch: 8 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23413 (0.22684) Loss: 0.23413 (0.22684)
2025-08-24,01:29:17 | INFO | Train Epoch: 8 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20697 (0.22655) Loss: 0.20697 (0.22655)
2025-08-24,01:30:27 | INFO | Train Epoch: 8 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25393 (0.22694) Loss: 0.25393 (0.22694)
2025-08-24,01:31:37 | INFO | Train Epoch: 8 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21372 (0.22675) Loss: 0.21372 (0.22675)
2025-08-24,01:32:47 | INFO | Train Epoch: 8 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27184 (0.22737) Loss: 0.27184 (0.22737)
2025-08-24,01:33:57 | INFO | Train Epoch: 8 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19814 (0.22698) Loss: 0.19814 (0.22698)
2025-08-24,01:35:07 | INFO | Train Epoch: 8 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29949 (0.22794) Loss: 0.29949 (0.22794)
2025-08-24,01:36:16 | INFO | Train Epoch: 8 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18396 (0.22737) Loss: 0.18396 (0.22737)
2025-08-24,01:37:26 | INFO | Train Epoch: 8 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23768 (0.22750) Loss: 0.23768 (0.22750)
2025-08-24,01:38:36 | INFO | Train Epoch: 8 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29723 (0.22839) Loss: 0.29723 (0.22839)
2025-08-24,01:39:46 | INFO | Train Epoch: 8 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23427 (0.22847) Loss: 0.23427 (0.22847)
2025-08-24,01:40:56 | INFO | Train Epoch: 8 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26918 (0.22898) Loss: 0.26918 (0.22898)
2025-08-24,01:42:06 | INFO | Train Epoch: 8 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21230 (0.22877) Loss: 0.21230 (0.22877)
2025-08-24,01:43:16 | INFO | Train Epoch: 8 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21297 (0.22858) Loss: 0.21297 (0.22858)
2025-08-24,01:44:25 | INFO | Train Epoch: 8 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16584 (0.22782) Loss: 0.16584 (0.22782)
2025-08-24,01:45:35 | INFO | Train Epoch: 8 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25856 (0.22819) Loss: 0.25856 (0.22819)
2025-08-24,01:46:45 | INFO | Train Epoch: 8 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25564 (0.22851) Loss: 0.25564 (0.22851)
2025-08-24,01:47:55 | INFO | Train Epoch: 8 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25725 (0.22885) Loss: 0.25725 (0.22885)
2025-08-24,01:49:05 | INFO | Train Epoch: 8 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22181 (0.22876) Loss: 0.22181 (0.22876)
2025-08-24,01:50:15 | INFO | Train Epoch: 8 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25868 (0.22910) Loss: 0.25868 (0.22910)
2025-08-24,01:51:25 | INFO | Train Epoch: 8 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20996 (0.22889) Loss: 0.20996 (0.22889)
2025-08-24,01:52:34 | INFO | Train Epoch: 8 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27567 (0.22941) Loss: 0.27567 (0.22941)
2025-08-24,01:53:44 | INFO | Train Epoch: 8 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16304 (0.22868) Loss: 0.16304 (0.22868)
2025-08-24,01:54:54 | INFO | Train Epoch: 8 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19491 (0.22831) Loss: 0.19491 (0.22831)
2025-08-24,01:56:04 | INFO | Train Epoch: 8 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22125 (0.22824) Loss: 0.22125 (0.22824)
2025-08-24,01:57:14 | INFO | Train Epoch: 8 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16678 (0.22758) Loss: 0.16678 (0.22758)
2025-08-24,01:58:23 | INFO | Train Epoch: 8 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25163 (0.22784) Loss: 0.25163 (0.22784)
2025-08-24,01:59:33 | INFO | Train Epoch: 8 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24702 (0.22804) Loss: 0.24702 (0.22804)
2025-08-24,02:00:43 | INFO | Train Epoch: 8 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24821 (0.22824) Loss: 0.24821 (0.22824)
2025-08-24,02:01:53 | INFO | Train Epoch: 8 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24575 (0.22842) Loss: 0.24575 (0.22842)
2025-08-24,02:03:03 | INFO | Train Epoch: 8 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23651 (0.22850) Loss: 0.23651 (0.22850)
2025-08-24,02:04:13 | INFO | Train Epoch: 8 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22583 (0.22848) Loss: 0.22583 (0.22848)
2025-08-24,02:05:23 | INFO | Train Epoch: 8 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21875 (0.22838) Loss: 0.21875 (0.22838)
2025-08-24,02:06:32 | INFO | Train Epoch: 8 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17799 (0.22789) Loss: 0.17799 (0.22789)
2025-08-24,02:07:42 | INFO | Train Epoch: 8 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23580 (0.22796) Loss: 0.23580 (0.22796)
2025-08-24,02:08:52 | INFO | Train Epoch: 8 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23084 (0.22799) Loss: 0.23084 (0.22799)
2025-08-24,02:10:02 | INFO | Train Epoch: 8 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21560 (0.22787) Loss: 0.21560 (0.22787)
2025-08-24,02:11:12 | INFO | Train Epoch: 8 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22922 (0.22789) Loss: 0.22922 (0.22789)
2025-08-24,02:12:21 | INFO | Train Epoch: 8 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27183 (0.22830) Loss: 0.27183 (0.22830)
2025-08-24,02:13:31 | INFO | Train Epoch: 8 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22845 (0.22830) Loss: 0.22845 (0.22830)
2025-08-24,02:14:41 | INFO | Train Epoch: 8 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16077 (0.22768) Loss: 0.16077 (0.22768)
2025-08-24,02:15:51 | INFO | Train Epoch: 8 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26178 (0.22799) Loss: 0.26178 (0.22799)
2025-08-24,02:17:01 | INFO | Train Epoch: 8 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21303 (0.22785) Loss: 0.21303 (0.22785)
2025-08-24,02:18:11 | INFO | Train Epoch: 8 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20313 (0.22763) Loss: 0.20313 (0.22763)
2025-08-24,02:19:21 | INFO | Train Epoch: 8 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18121 (0.22722) Loss: 0.18121 (0.22722)
2025-08-24,02:20:31 | INFO | Train Epoch: 8 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29259 (0.22780) Loss: 0.29259 (0.22780)
2025-08-24,02:21:41 | INFO | Train Epoch: 8 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20122 (0.22756) Loss: 0.20122 (0.22756)
2025-08-24,02:22:51 | INFO | Train Epoch: 8 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30022 (0.22819) Loss: 0.30022 (0.22819)
2025-08-24,02:24:00 | INFO | Train Epoch: 8 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20918 (0.22803) Loss: 0.20918 (0.22803)
2025-08-24,02:25:10 | INFO | Train Epoch: 8 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17316 (0.22756) Loss: 0.17316 (0.22756)
2025-08-24,02:26:20 | INFO | Train Epoch: 8 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26731 (0.22790) Loss: 0.26731 (0.22790)
2025-08-24,02:27:30 | INFO | Train Epoch: 8 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17734 (0.22748) Loss: 0.17734 (0.22748)
2025-08-24,02:28:40 | INFO | Train Epoch: 8 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20301 (0.22727) Loss: 0.20301 (0.22727)
2025-08-24,02:29:50 | INFO | Train Epoch: 8 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21684 (0.22719) Loss: 0.21684 (0.22719)
2025-08-24,02:30:59 | INFO | Train Epoch: 8 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19743 (0.22695) Loss: 0.19743 (0.22695)
2025-08-24,02:32:09 | INFO | Train Epoch: 8 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27063 (0.22730) Loss: 0.27063 (0.22730)
2025-08-24,02:33:19 | INFO | Train Epoch: 8 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23311 (0.22735) Loss: 0.23311 (0.22735)
2025-08-24,02:34:29 | INFO | Train Epoch: 8 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19146 (0.22706) Loss: 0.19146 (0.22706)
2025-08-24,02:35:39 | INFO | Train Epoch: 8 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18600 (0.22674) Loss: 0.18600 (0.22674)
2025-08-24,02:36:49 | INFO | Train Epoch: 8 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24675 (0.22689) Loss: 0.24675 (0.22689)
2025-08-24,02:37:59 | INFO | Train Epoch: 8 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24576 (0.22704) Loss: 0.24576 (0.22704)
2025-08-24,02:39:09 | INFO | Train Epoch: 8 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22500 (0.22702) Loss: 0.22500 (0.22702)
2025-08-24,02:40:18 | INFO | Train Epoch: 8 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25247 (0.22722) Loss: 0.25247 (0.22722)
2025-08-24,02:41:28 | INFO | Train Epoch: 8 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16401 (0.22674) Loss: 0.16401 (0.22674)
2025-08-24,02:42:38 | INFO | Train Epoch: 8 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25138 (0.22692) Loss: 0.25138 (0.22692)
2025-08-24,02:43:48 | INFO | Train Epoch: 8 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21461 (0.22683) Loss: 0.21461 (0.22683)
2025-08-24,02:44:58 | INFO | Train Epoch: 8 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20626 (0.22668) Loss: 0.20626 (0.22668)
2025-08-24,02:46:08 | INFO | Train Epoch: 8 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24996 (0.22685) Loss: 0.24996 (0.22685)
2025-08-24,02:47:18 | INFO | Train Epoch: 8 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22440 (0.22683) Loss: 0.22440 (0.22683)
2025-08-24,02:48:28 | INFO | Train Epoch: 8 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22603 (0.22683) Loss: 0.22603 (0.22683)
2025-08-24,02:49:38 | INFO | Train Epoch: 8 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22972 (0.22685) Loss: 0.22972 (0.22685)
2025-08-24,02:50:48 | INFO | Train Epoch: 8 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26607 (0.22713) Loss: 0.26607 (0.22713)
2025-08-24,02:51:58 | INFO | Train Epoch: 8 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20482 (0.22697) Loss: 0.20482 (0.22697)
2025-08-24,02:53:07 | INFO | Train Epoch: 8 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20436 (0.22681) Loss: 0.20436 (0.22681)
2025-08-24,02:54:17 | INFO | Train Epoch: 8 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20081 (0.22663) Loss: 0.20081 (0.22663)
2025-08-24,02:55:27 | INFO | Train Epoch: 8 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22090 (0.22659) Loss: 0.22090 (0.22659)
2025-08-24,02:56:37 | INFO | Train Epoch: 8 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20016 (0.22641) Loss: 0.20016 (0.22641)
2025-08-24,02:57:47 | INFO | Train Epoch: 8 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23735 (0.22648) Loss: 0.23735 (0.22648)
2025-08-24,02:58:57 | INFO | Train Epoch: 8 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23006 (0.22651) Loss: 0.23006 (0.22651)
2025-08-24,03:00:06 | INFO | Train Epoch: 8 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21661 (0.22644) Loss: 0.21661 (0.22644)
2025-08-24,03:01:16 | INFO | Train Epoch: 8 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27126 (0.22674) Loss: 0.27126 (0.22674)
2025-08-24,03:02:26 | INFO | Train Epoch: 8 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20254 (0.22658) Loss: 0.20254 (0.22658)
2025-08-24,03:03:36 | INFO | Train Epoch: 8 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22869 (0.22659) Loss: 0.22869 (0.22659)
2025-08-24,03:04:46 | INFO | Train Epoch: 8 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20081 (0.22642) Loss: 0.20081 (0.22642)
2025-08-24,03:05:55 | INFO | Train Epoch: 8 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16566 (0.22603) Loss: 0.16566 (0.22603)
2025-08-24,03:07:05 | INFO | Train Epoch: 8 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19764 (0.22584) Loss: 0.19764 (0.22584)
2025-08-24,03:08:15 | INFO | Train Epoch: 8 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22227 (0.22582) Loss: 0.22227 (0.22582)
2025-08-24,03:09:25 | INFO | Train Epoch: 8 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19917 (0.22565) Loss: 0.19917 (0.22565)
2025-08-24,03:10:35 | INFO | Train Epoch: 8 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21867 (0.22560) Loss: 0.21867 (0.22560)
2025-08-24,03:11:45 | INFO | Train Epoch: 8 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25424 (0.22579) Loss: 0.25424 (0.22579)
2025-08-24,03:12:55 | INFO | Train Epoch: 8 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24974 (0.22594) Loss: 0.24974 (0.22594)
2025-08-24,03:14:05 | INFO | Train Epoch: 8 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16172 (0.22553) Loss: 0.16172 (0.22553)
2025-08-24,03:15:14 | INFO | Train Epoch: 8 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19692 (0.22536) Loss: 0.19692 (0.22536)
2025-08-24,03:16:24 | INFO | Train Epoch: 8 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20278 (0.22522) Loss: 0.20278 (0.22522)
2025-08-24,03:17:34 | INFO | Train Epoch: 8 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20274 (0.22508) Loss: 0.20274 (0.22508)
2025-08-24,03:18:44 | INFO | Train Epoch: 8 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25617 (0.22527) Loss: 0.25617 (0.22527)
2025-08-24,03:19:54 | INFO | Train Epoch: 8 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17504 (0.22496) Loss: 0.17504 (0.22496)
2025-08-24,03:21:04 | INFO | Train Epoch: 8 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17299 (0.22465) Loss: 0.17299 (0.22465)
2025-08-24,03:22:14 | INFO | Train Epoch: 8 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24699 (0.22479) Loss: 0.24699 (0.22479)
2025-08-24,03:23:23 | INFO | Train Epoch: 8 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17517 (0.22449) Loss: 0.17517 (0.22449)
2025-08-24,03:24:33 | INFO | Train Epoch: 8 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17540 (0.22420) Loss: 0.17540 (0.22420)
2025-08-24,03:25:43 | INFO | Train Epoch: 8 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20006 (0.22406) Loss: 0.20006 (0.22406)
2025-08-24,03:26:53 | INFO | Train Epoch: 8 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27112 (0.22433) Loss: 0.27112 (0.22433)
2025-08-24,03:28:03 | INFO | Train Epoch: 8 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23929 (0.22442) Loss: 0.23929 (0.22442)
2025-08-24,03:29:13 | INFO | Train Epoch: 8 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20932 (0.22433) Loss: 0.20932 (0.22433)
2025-08-24,03:30:23 | INFO | Train Epoch: 8 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24494 (0.22445) Loss: 0.24494 (0.22445)
2025-08-24,03:31:33 | INFO | Train Epoch: 8 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22024 (0.22443) Loss: 0.22024 (0.22443)
2025-08-24,03:32:43 | INFO | Train Epoch: 8 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25775 (0.22462) Loss: 0.25775 (0.22462)
2025-08-24,03:33:52 | INFO | Train Epoch: 8 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18770 (0.22441) Loss: 0.18770 (0.22441)
2025-08-24,03:35:02 | INFO | Train Epoch: 8 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23807 (0.22448) Loss: 0.23807 (0.22448)
2025-08-24,03:36:12 | INFO | Train Epoch: 8 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24116 (0.22458) Loss: 0.24116 (0.22458)
2025-08-24,03:37:22 | INFO | Train Epoch: 8 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20411 (0.22446) Loss: 0.20411 (0.22446)
2025-08-24,03:38:32 | INFO | Train Epoch: 8 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22028 (0.22444) Loss: 0.22028 (0.22444)
2025-08-24,03:39:42 | INFO | Train Epoch: 8 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16344 (0.22411) Loss: 0.16344 (0.22411)
2025-08-24,03:40:51 | INFO | Train Epoch: 8 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24051 (0.22420) Loss: 0.24051 (0.22420)
2025-08-24,03:42:01 | INFO | Train Epoch: 8 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21757 (0.22416) Loss: 0.21757 (0.22416)
2025-08-24,03:43:11 | INFO | Train Epoch: 8 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18937 (0.22397) Loss: 0.18937 (0.22397)
2025-08-24,03:44:21 | INFO | Train Epoch: 8 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19404 (0.22381) Loss: 0.19404 (0.22381)
2025-08-24,03:45:31 | INFO | Train Epoch: 8 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14805 (0.22340) Loss: 0.14805 (0.22340)
2025-08-24,03:46:41 | INFO | Train Epoch: 8 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18500 (0.22320) Loss: 0.18500 (0.22320)
2025-08-24,03:47:51 | INFO | Train Epoch: 8 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25907 (0.22339) Loss: 0.25907 (0.22339)
2025-08-24,03:49:00 | INFO | Train Epoch: 8 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19464 (0.22324) Loss: 0.19464 (0.22324)
2025-08-24,03:50:10 | INFO | Train Epoch: 8 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17490 (0.22299) Loss: 0.17490 (0.22299)
2025-08-24,03:51:20 | INFO | Train Epoch: 8 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27870 (0.22328) Loss: 0.27870 (0.22328)
2025-08-24,03:52:30 | INFO | Train Epoch: 8 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20477 (0.22318) Loss: 0.20477 (0.22318)
2025-08-24,03:53:40 | INFO | Train Epoch: 8 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17733 (0.22294) Loss: 0.17733 (0.22294)
2025-08-24,03:54:49 | INFO | Train Epoch: 8 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15315 (0.22259) Loss: 0.15315 (0.22259)
2025-08-24,03:55:59 | INFO | Train Epoch: 8 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22169 (0.22258) Loss: 0.22169 (0.22258)
2025-08-24,03:57:09 | INFO | Train Epoch: 8 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19151 (0.22242) Loss: 0.19151 (0.22242)
2025-08-24,03:58:19 | INFO | Train Epoch: 8 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18064 (0.22221) Loss: 0.18064 (0.22221)
2025-08-24,03:59:28 | INFO | Train Epoch: 8 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22226 (0.22221) Loss: 0.22226 (0.22221)
2025-08-24,04:00:38 | INFO | Train Epoch: 8 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21285 (0.22217) Loss: 0.21285 (0.22217)
2025-08-24,04:01:48 | INFO | Train Epoch: 8 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20863 (0.22210) Loss: 0.20863 (0.22210)
2025-08-24,04:02:58 | INFO | Train Epoch: 8 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15424 (0.22176) Loss: 0.15424 (0.22176)
2025-08-24,04:04:07 | INFO | Train Epoch: 8 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24922 (0.22190) Loss: 0.24922 (0.22190)
2025-08-24,04:05:17 | INFO | Train Epoch: 8 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20506 (0.22182) Loss: 0.20506 (0.22182)
2025-08-24,04:06:27 | INFO | Train Epoch: 8 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21076 (0.22176) Loss: 0.21076 (0.22176)
2025-08-24,04:07:37 | INFO | Train Epoch: 8 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23111 (0.22181) Loss: 0.23111 (0.22181)
2025-08-24,04:08:47 | INFO | Train Epoch: 8 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22147 (0.22181) Loss: 0.22147 (0.22181)
2025-08-24,04:09:57 | INFO | Train Epoch: 8 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20562 (0.22173) Loss: 0.20562 (0.22173)
2025-08-24,04:11:06 | INFO | Train Epoch: 8 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21515 (0.22170) Loss: 0.21515 (0.22170)
2025-08-24,04:12:16 | INFO | Train Epoch: 8 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20743 (0.22163) Loss: 0.20743 (0.22163)
2025-08-24,04:13:26 | INFO | Train Epoch: 8 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20529 (0.22155) Loss: 0.20529 (0.22155)
2025-08-24,04:14:36 | INFO | Train Epoch: 8 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21901 (0.22154) Loss: 0.21901 (0.22154)
2025-08-24,04:15:46 | INFO | Train Epoch: 8 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23902 (0.22162) Loss: 0.23902 (0.22162)
2025-08-24,04:16:56 | INFO | Train Epoch: 8 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22390 (0.22163) Loss: 0.22390 (0.22163)
2025-08-24,04:18:06 | INFO | Train Epoch: 8 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21058 (0.22158) Loss: 0.21058 (0.22158)
2025-08-24,04:19:16 | INFO | Train Epoch: 8 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21543 (0.22155) Loss: 0.21543 (0.22155)
2025-08-24,04:20:26 | INFO | Train Epoch: 8 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25572 (0.22171) Loss: 0.25572 (0.22171)
2025-08-24,04:21:36 | INFO | Train Epoch: 8 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18985 (0.22156) Loss: 0.18985 (0.22156)
2025-08-24,04:22:45 | INFO | Train Epoch: 8 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25723 (0.22173) Loss: 0.25723 (0.22173)
2025-08-24,04:23:55 | INFO | Train Epoch: 8 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20861 (0.22167) Loss: 0.20861 (0.22167)
2025-08-24,04:25:05 | INFO | Train Epoch: 8 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20919 (0.22161) Loss: 0.20919 (0.22161)
2025-08-24,04:26:15 | INFO | Train Epoch: 8 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21645 (0.22159) Loss: 0.21645 (0.22159)
2025-08-24,04:27:25 | INFO | Train Epoch: 8 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16404 (0.22133) Loss: 0.16404 (0.22133)
2025-08-24,04:28:34 | INFO | Train Epoch: 8 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22032 (0.22132) Loss: 0.22032 (0.22132)
2025-08-24,04:29:44 | INFO | Train Epoch: 8 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24572 (0.22143) Loss: 0.24572 (0.22143)
2025-08-24,04:30:54 | INFO | Train Epoch: 8 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16430 (0.22118) Loss: 0.16430 (0.22118)
2025-08-24,04:32:04 | INFO | Train Epoch: 8 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20419 (0.22110) Loss: 0.20419 (0.22110)
2025-08-24,04:33:14 | INFO | Train Epoch: 8 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20487 (0.22103) Loss: 0.20487 (0.22103)
2025-08-24,04:34:24 | INFO | Train Epoch: 8 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20118 (0.22095) Loss: 0.20118 (0.22095)
2025-08-24,04:35:34 | INFO | Train Epoch: 8 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18076 (0.22077) Loss: 0.18076 (0.22077)
2025-08-24,04:36:44 | INFO | Train Epoch: 8 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20813 (0.22072) Loss: 0.20813 (0.22072)
2025-08-24,04:37:53 | INFO | Train Epoch: 8 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20343 (0.22064) Loss: 0.20343 (0.22064)
2025-08-24,04:39:03 | INFO | Train Epoch: 8 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24704 (0.22076) Loss: 0.24704 (0.22076)
2025-08-24,04:40:13 | INFO | Train Epoch: 8 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26441 (0.22094) Loss: 0.26441 (0.22094)
2025-08-24,04:41:23 | INFO | Train Epoch: 8 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26143 (0.22111) Loss: 0.26143 (0.22111)
2025-08-24,04:42:33 | INFO | Train Epoch: 8 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19552 (0.22101) Loss: 0.19552 (0.22101)
2025-08-24,04:43:43 | INFO | Train Epoch: 8 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21223 (0.22097) Loss: 0.21223 (0.22097)
2025-08-24,04:44:53 | INFO | Train Epoch: 8 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18764 (0.22083) Loss: 0.18764 (0.22083)
2025-08-24,04:46:02 | INFO | Train Epoch: 8 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20295 (0.22075) Loss: 0.20295 (0.22075)
2025-08-24,04:47:12 | INFO | Train Epoch: 8 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21834 (0.22074) Loss: 0.21834 (0.22074)
2025-08-24,04:48:22 | INFO | Train Epoch: 8 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20377 (0.22067) Loss: 0.20377 (0.22067)
2025-08-24,04:49:32 | INFO | Train Epoch: 8 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23265 (0.22072) Loss: 0.23265 (0.22072)
2025-08-24,04:50:42 | INFO | Train Epoch: 8 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16620 (0.22050) Loss: 0.16620 (0.22050)
2025-08-24,04:51:52 | INFO | Train Epoch: 8 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23167 (0.22055) Loss: 0.23167 (0.22055)
2025-08-24,04:53:02 | INFO | Train Epoch: 8 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21672 (0.22053) Loss: 0.21672 (0.22053)
2025-08-24,04:54:12 | INFO | Train Epoch: 8 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23680 (0.22060) Loss: 0.23680 (0.22060)
2025-08-24,04:55:22 | INFO | Train Epoch: 8 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21715 (0.22058) Loss: 0.21715 (0.22058)
2025-08-24,04:56:32 | INFO | Train Epoch: 8 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15483 (0.22032) Loss: 0.15483 (0.22032)
2025-08-24,04:57:42 | INFO | Train Epoch: 8 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26582 (0.22050) Loss: 0.26582 (0.22050)
2025-08-24,04:58:51 | INFO | Train Epoch: 8 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26994 (0.22070) Loss: 0.26994 (0.22070)
2025-08-24,05:00:01 | INFO | Train Epoch: 8 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24947 (0.22081) Loss: 0.24947 (0.22081)
2025-08-24,05:01:11 | INFO | Train Epoch: 8 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29257 (0.22110) Loss: 0.29257 (0.22110)
2025-08-24,05:02:21 | INFO | Train Epoch: 8 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18007 (0.22093) Loss: 0.18007 (0.22093)
2025-08-24,05:03:31 | INFO | Train Epoch: 8 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23910 (0.22101) Loss: 0.23910 (0.22101)
2025-08-24,05:04:41 | INFO | Train Epoch: 8 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26492 (0.22118) Loss: 0.26492 (0.22118)
2025-08-24,05:05:50 | INFO | Train Epoch: 8 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23606 (0.22124) Loss: 0.23606 (0.22124)
2025-08-24,05:07:00 | INFO | Train Epoch: 8 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24538 (0.22133) Loss: 0.24538 (0.22133)
2025-08-24,05:08:10 | INFO | Train Epoch: 8 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18576 (0.22119) Loss: 0.18576 (0.22119)
2025-08-24,05:09:20 | INFO | Train Epoch: 8 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27176 (0.22139) Loss: 0.27176 (0.22139)
2025-08-24,05:10:30 | INFO | Train Epoch: 8 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19586 (0.22129) Loss: 0.19586 (0.22129)
2025-08-24,05:11:40 | INFO | Train Epoch: 8 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20081 (0.22121) Loss: 0.20081 (0.22121)
2025-08-24,05:12:49 | INFO | Train Epoch: 8 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19142 (0.22110) Loss: 0.19142 (0.22110)
2025-08-24,05:13:59 | INFO | Train Epoch: 8 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23925 (0.22117) Loss: 0.23925 (0.22117)
2025-08-24,05:15:09 | INFO | Train Epoch: 8 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22569 (0.22118) Loss: 0.22569 (0.22118)
2025-08-24,05:16:19 | INFO | Train Epoch: 8 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23855 (0.22125) Loss: 0.23855 (0.22125)
2025-08-24,05:17:28 | INFO | Train Epoch: 8 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19613 (0.22115) Loss: 0.19613 (0.22115)
2025-08-24,05:18:38 | INFO | Train Epoch: 8 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19386 (0.22105) Loss: 0.19386 (0.22105)
2025-08-24,05:19:48 | INFO | Train Epoch: 8 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23566 (0.22111) Loss: 0.23566 (0.22111)
2025-08-24,05:20:58 | INFO | Train Epoch: 8 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16978 (0.22092) Loss: 0.16978 (0.22092)
2025-08-24,05:22:07 | INFO | Train Epoch: 8 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23414 (0.22096) Loss: 0.23414 (0.22096)
2025-08-24,05:23:17 | INFO | Train Epoch: 8 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20303 (0.22090) Loss: 0.20303 (0.22090)
2025-08-24,05:24:27 | INFO | Train Epoch: 8 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19661 (0.22081) Loss: 0.19661 (0.22081)
2025-08-24,05:25:37 | INFO | Train Epoch: 8 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20519 (0.22075) Loss: 0.20519 (0.22075)
2025-08-24,05:26:47 | INFO | Train Epoch: 8 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23790 (0.22081) Loss: 0.23790 (0.22081)
2025-08-24,05:27:57 | INFO | Train Epoch: 8 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24235 (0.22089) Loss: 0.24235 (0.22089)
2025-08-24,05:29:06 | INFO | Train Epoch: 8 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18450 (0.22076) Loss: 0.18450 (0.22076)
2025-08-24,05:30:16 | INFO | Train Epoch: 8 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19605 (0.22067) Loss: 0.19605 (0.22067)
2025-08-24,05:31:26 | INFO | Train Epoch: 8 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17903 (0.22052) Loss: 0.17903 (0.22052)
2025-08-24,05:32:36 | INFO | Train Epoch: 8 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24614 (0.22061) Loss: 0.24614 (0.22061)
2025-08-24,05:33:46 | INFO | Train Epoch: 8 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24961 (0.22072) Loss: 0.24961 (0.22072)
2025-08-24,05:34:56 | INFO | Train Epoch: 8 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22856 (0.22075) Loss: 0.22856 (0.22075)
2025-08-24,05:36:06 | INFO | Train Epoch: 8 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26355 (0.22090) Loss: 0.26355 (0.22090)
2025-08-24,05:37:16 | INFO | Train Epoch: 8 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.30956 (0.22121) Loss: 0.30956 (0.22121)
2025-08-24,05:38:26 | INFO | Train Epoch: 8 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24396 (0.22129) Loss: 0.24396 (0.22129)
2025-08-24,05:39:36 | INFO | Train Epoch: 8 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25524 (0.22141) Loss: 0.25524 (0.22141)
2025-08-24,05:40:46 | INFO | Train Epoch: 8 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27044 (0.22158) Loss: 0.27044 (0.22158)
2025-08-24,05:41:56 | INFO | Train Epoch: 8 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22963 (0.22161) Loss: 0.22963 (0.22161)
2025-08-24,05:43:06 | INFO | Train Epoch: 8 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18563 (0.22148) Loss: 0.18563 (0.22148)
2025-08-24,05:44:15 | INFO | Train Epoch: 8 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17890 (0.22134) Loss: 0.17890 (0.22134)
2025-08-24,05:45:25 | INFO | Train Epoch: 8 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20427 (0.22128) Loss: 0.20427 (0.22128)
2025-08-24,05:46:35 | INFO | Train Epoch: 8 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21953 (0.22127) Loss: 0.21953 (0.22127)
2025-08-24,05:47:45 | INFO | Train Epoch: 8 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20706 (0.22122) Loss: 0.20706 (0.22122)
2025-08-24,05:48:55 | INFO | Train Epoch: 8 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22164 (0.22122) Loss: 0.22164 (0.22122)
2025-08-24,05:50:05 | INFO | Train Epoch: 8 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17346 (0.22106) Loss: 0.17346 (0.22106)
2025-08-24,05:51:15 | INFO | Train Epoch: 8 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24900 (0.22116) Loss: 0.24900 (0.22116)
2025-08-24,05:52:25 | INFO | Train Epoch: 8 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18583 (0.22104) Loss: 0.18583 (0.22104)
2025-08-24,05:53:35 | INFO | Train Epoch: 8 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28113 (0.22124) Loss: 0.28113 (0.22124)
2025-08-24,05:54:45 | INFO | Train Epoch: 8 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23901 (0.22130) Loss: 0.23901 (0.22130)
2025-08-24,05:55:55 | INFO | Train Epoch: 8 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24090 (0.22137) Loss: 0.24090 (0.22137)
2025-08-24,05:57:05 | INFO | Train Epoch: 8 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19811 (0.22129) Loss: 0.19811 (0.22129)
2025-08-24,05:58:15 | INFO | Train Epoch: 8 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19086 (0.22119) Loss: 0.19086 (0.22119)
2025-08-24,05:59:24 | INFO | Train Epoch: 8 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24767 (0.22127) Loss: 0.24767 (0.22127)
2025-08-24,06:00:34 | INFO | Train Epoch: 8 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28647 (0.22149) Loss: 0.28647 (0.22149)
2025-08-24,06:01:44 | INFO | Train Epoch: 8 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18178 (0.22136) Loss: 0.18178 (0.22136)
2025-08-24,06:02:54 | INFO | Train Epoch: 8 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22238 (0.22136) Loss: 0.22238 (0.22136)
2025-08-24,06:04:04 | INFO | Train Epoch: 8 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23762 (0.22142) Loss: 0.23762 (0.22142)
2025-08-24,06:05:14 | INFO | Train Epoch: 8 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22542 (0.22143) Loss: 0.22542 (0.22143)
2025-08-24,06:06:24 | INFO | Train Epoch: 8 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14167 (0.22117) Loss: 0.14167 (0.22117)
2025-08-24,06:07:33 | INFO | Train Epoch: 8 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28770 (0.22138) Loss: 0.28770 (0.22138)
2025-08-24,06:08:43 | INFO | Train Epoch: 8 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21043 (0.22135) Loss: 0.21043 (0.22135)
2025-08-24,06:09:53 | INFO | Train Epoch: 8 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23255 (0.22139) Loss: 0.23255 (0.22139)
2025-08-24,06:11:03 | INFO | Train Epoch: 8 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21417 (0.22136) Loss: 0.21417 (0.22136)
2025-08-24,06:12:13 | INFO | Train Epoch: 8 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22945 (0.22139) Loss: 0.22945 (0.22139)
2025-08-24,06:13:23 | INFO | Train Epoch: 8 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25441 (0.22149) Loss: 0.25441 (0.22149)
2025-08-24,06:14:33 | INFO | Train Epoch: 8 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16405 (0.22131) Loss: 0.16405 (0.22131)
2025-08-24,06:15:43 | INFO | Train Epoch: 8 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28152 (0.22150) Loss: 0.28152 (0.22150)
2025-08-24,06:16:53 | INFO | Train Epoch: 8 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16921 (0.22134) Loss: 0.16921 (0.22134)
2025-08-24,06:18:03 | INFO | Train Epoch: 8 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20783 (0.22129) Loss: 0.20783 (0.22129)
2025-08-24,06:19:13 | INFO | Train Epoch: 8 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20351 (0.22124) Loss: 0.20351 (0.22124)
2025-08-24,06:20:23 | INFO | Train Epoch: 8 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26675 (0.22138) Loss: 0.26675 (0.22138)
2025-08-24,06:21:33 | INFO | Train Epoch: 8 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24152 (0.22144) Loss: 0.24152 (0.22144)
2025-08-24,06:22:42 | INFO | Train Epoch: 8 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19530 (0.22136) Loss: 0.19530 (0.22136)
2025-08-24,06:23:52 | INFO | Train Epoch: 8 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29509 (0.22159) Loss: 0.29509 (0.22159)
2025-08-24,06:25:02 | INFO | Train Epoch: 8 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29404 (0.22181) Loss: 0.29404 (0.22181)
2025-08-24,06:26:12 | INFO | Train Epoch: 8 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18238 (0.22169) Loss: 0.18238 (0.22169)
2025-08-24,06:27:22 | INFO | Train Epoch: 8 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27542 (0.22186) Loss: 0.27542 (0.22186)
2025-08-24,06:28:32 | INFO | Train Epoch: 8 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18337 (0.22174) Loss: 0.18337 (0.22174)
2025-08-24,06:29:42 | INFO | Train Epoch: 8 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22411 (0.22175) Loss: 0.22411 (0.22175)
2025-08-24,06:30:52 | INFO | Train Epoch: 8 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23979 (0.22180) Loss: 0.23979 (0.22180)
2025-08-24,06:32:02 | INFO | Train Epoch: 8 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18368 (0.22169) Loss: 0.18368 (0.22169)
2025-08-24,06:33:12 | INFO | Train Epoch: 8 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19386 (0.22160) Loss: 0.19386 (0.22160)
2025-08-24,06:34:22 | INFO | Train Epoch: 8 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15753 (0.22141) Loss: 0.15753 (0.22141)
2025-08-24,06:35:32 | INFO | Train Epoch: 8 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19934 (0.22134) Loss: 0.19934 (0.22134)
2025-08-24,06:36:42 | INFO | Train Epoch: 8 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19242 (0.22126) Loss: 0.19242 (0.22126)
2025-08-24,06:37:52 | INFO | Train Epoch: 8 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20651 (0.22121) Loss: 0.20651 (0.22121)
2025-08-24,06:39:02 | INFO | Train Epoch: 8 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22469 (0.22122) Loss: 0.22469 (0.22122)
2025-08-24,06:40:12 | INFO | Train Epoch: 8 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20212 (0.22117) Loss: 0.20212 (0.22117)
2025-08-24,06:41:22 | INFO | Train Epoch: 8 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22989 (0.22119) Loss: 0.22989 (0.22119)
2025-08-24,06:42:32 | INFO | Train Epoch: 8 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24998 (0.22128) Loss: 0.24998 (0.22128)
2025-08-24,06:43:42 | INFO | Train Epoch: 8 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18242 (0.22116) Loss: 0.18242 (0.22116)
2025-08-24,06:44:52 | INFO | Train Epoch: 8 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16571 (0.22100) Loss: 0.16571 (0.22100)
2025-08-24,06:46:02 | INFO | Train Epoch: 8 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18923 (0.22091) Loss: 0.18923 (0.22091)
2025-08-24,06:47:12 | INFO | Train Epoch: 8 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21422 (0.22089) Loss: 0.21422 (0.22089)
2025-08-24,06:48:22 | INFO | Train Epoch: 8 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25713 (0.22099) Loss: 0.25713 (0.22099)
2025-08-24,06:49:32 | INFO | Train Epoch: 8 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18525 (0.22089) Loss: 0.18525 (0.22089)
2025-08-24,06:50:42 | INFO | Train Epoch: 8 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21429 (0.22087) Loss: 0.21429 (0.22087)
2025-08-24,06:51:52 | INFO | Train Epoch: 8 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28766 (0.22106) Loss: 0.28766 (0.22106)
2025-08-24,06:53:02 | INFO | Train Epoch: 8 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22451 (0.22107) Loss: 0.22451 (0.22107)
2025-08-24,06:54:12 | INFO | Train Epoch: 8 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22307 (0.22108) Loss: 0.22307 (0.22108)
2025-08-24,06:55:22 | INFO | Train Epoch: 8 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20836 (0.22104) Loss: 0.20836 (0.22104)
2025-08-24,06:56:32 | INFO | Train Epoch: 8 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20159 (0.22099) Loss: 0.20159 (0.22099)
2025-08-24,06:57:42 | INFO | Train Epoch: 8 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22812 (0.22101) Loss: 0.22812 (0.22101)
2025-08-24,06:58:52 | INFO | Train Epoch: 8 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28295 (0.22118) Loss: 0.28295 (0.22118)
2025-08-24,07:00:02 | INFO | Train Epoch: 8 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26012 (0.22129) Loss: 0.26012 (0.22129)
2025-08-24,07:01:12 | INFO | Train Epoch: 8 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22229 (0.22129) Loss: 0.22229 (0.22129)
2025-08-24,07:02:22 | INFO | Train Epoch: 8 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26322 (0.22141) Loss: 0.26322 (0.22141)
2025-08-24,07:03:32 | INFO | Train Epoch: 8 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21104 (0.22138) Loss: 0.21104 (0.22138)
2025-08-24,07:04:42 | INFO | Train Epoch: 8 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17429 (0.22125) Loss: 0.17429 (0.22125)
2025-08-24,07:05:52 | INFO | Train Epoch: 8 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20479 (0.22121) Loss: 0.20479 (0.22121)
2025-08-24,07:07:02 | INFO | Train Epoch: 8 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22931 (0.22123) Loss: 0.22931 (0.22123)
2025-08-24,07:08:11 | INFO | Train Epoch: 8 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23133 (0.22126) Loss: 0.23133 (0.22126)
2025-08-24,07:09:22 | INFO | Train Epoch: 8 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26764 (0.22138) Loss: 0.26764 (0.22138)
2025-08-24,07:10:32 | INFO | Train Epoch: 8 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.32140 (0.22166) Loss: 0.32140 (0.22166)
2025-08-24,07:11:42 | INFO | Train Epoch: 8 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24053 (0.22171) Loss: 0.24053 (0.22171)
2025-08-24,07:12:52 | INFO | Train Epoch: 8 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22599 (0.22172) Loss: 0.22599 (0.22172)
2025-08-24,07:14:02 | INFO | Train Epoch: 8 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25878 (0.22183) Loss: 0.25878 (0.22183)
2025-08-24,07:15:12 | INFO | Train Epoch: 8 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20512 (0.22178) Loss: 0.20512 (0.22178)
2025-08-24,07:16:22 | INFO | Train Epoch: 8 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23223 (0.22181) Loss: 0.23223 (0.22181)
2025-08-24,07:17:32 | INFO | Train Epoch: 8 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24196 (0.22186) Loss: 0.24196 (0.22186)
2025-08-24,07:18:41 | INFO | Train Epoch: 8 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23743 (0.22190) Loss: 0.23743 (0.22190)
2025-08-24,07:19:51 | INFO | Train Epoch: 8 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23115 (0.22193) Loss: 0.23115 (0.22193)
2025-08-24,07:21:01 | INFO | Train Epoch: 8 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21226 (0.22190) Loss: 0.21226 (0.22190)
2025-08-24,07:22:11 | INFO | Train Epoch: 8 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19007 (0.22182) Loss: 0.19007 (0.22182)
2025-08-24,07:23:21 | INFO | Train Epoch: 8 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18864 (0.22173) Loss: 0.18864 (0.22173)
2025-08-24,07:24:31 | INFO | Train Epoch: 8 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20003 (0.22167) Loss: 0.20003 (0.22167)
2025-08-24,07:25:41 | INFO | Train Epoch: 8 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23981 (0.22172) Loss: 0.23981 (0.22172)
2025-08-24,07:26:51 | INFO | Train Epoch: 8 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15392 (0.22154) Loss: 0.15392 (0.22154)
2025-08-24,07:28:01 | INFO | Train Epoch: 8 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20038 (0.22148) Loss: 0.20038 (0.22148)
2025-08-24,07:29:11 | INFO | Train Epoch: 8 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18894 (0.22140) Loss: 0.18894 (0.22140)
2025-08-24,07:30:21 | INFO | Train Epoch: 8 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19121 (0.22132) Loss: 0.19121 (0.22132)
2025-08-24,07:31:31 | INFO | Train Epoch: 8 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24036 (0.22137) Loss: 0.24036 (0.22137)
2025-08-24,07:32:41 | INFO | Train Epoch: 8 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16201 (0.22121) Loss: 0.16201 (0.22121)
2025-08-24,07:33:51 | INFO | Train Epoch: 8 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19535 (0.22115) Loss: 0.19535 (0.22115)
2025-08-24,07:35:00 | INFO | Train Epoch: 8 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23579 (0.22118) Loss: 0.23579 (0.22118)
2025-08-24,07:36:10 | INFO | Train Epoch: 8 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14409 (0.22098) Loss: 0.14409 (0.22098)
2025-08-24,07:37:20 | INFO | Train Epoch: 8 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21645 (0.22097) Loss: 0.21645 (0.22097)
2025-08-24,07:38:30 | INFO | Train Epoch: 8 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16962 (0.22084) Loss: 0.16962 (0.22084)
2025-08-24,07:39:40 | INFO | Train Epoch: 8 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19223 (0.22077) Loss: 0.19223 (0.22077)
2025-08-24,07:40:50 | INFO | Train Epoch: 8 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22838 (0.22079) Loss: 0.22838 (0.22079)
2025-08-24,07:42:00 | INFO | Train Epoch: 8 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20274 (0.22074) Loss: 0.20274 (0.22074)
2025-08-24,07:43:10 | INFO | Train Epoch: 8 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23527 (0.22078) Loss: 0.23527 (0.22078)
2025-08-24,07:44:20 | INFO | Train Epoch: 8 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21084 (0.22075) Loss: 0.21084 (0.22075)
2025-08-24,07:45:30 | INFO | Train Epoch: 8 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19943 (0.22070) Loss: 0.19943 (0.22070)
2025-08-24,07:46:39 | INFO | Train Epoch: 8 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21233 (0.22068) Loss: 0.21233 (0.22068)
2025-08-24,07:47:49 | INFO | Train Epoch: 8 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20682 (0.22064) Loss: 0.20682 (0.22064)
2025-08-24,07:48:59 | INFO | Train Epoch: 8 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24696 (0.22071) Loss: 0.24696 (0.22071)
2025-08-24,07:50:09 | INFO | Train Epoch: 8 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25233 (0.22079) Loss: 0.25233 (0.22079)
2025-08-24,07:51:19 | INFO | Train Epoch: 8 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28611 (0.22095) Loss: 0.28611 (0.22095)
2025-08-24,07:52:29 | INFO | Train Epoch: 8 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19077 (0.22087) Loss: 0.19077 (0.22087)
2025-08-24,07:53:39 | INFO | Train Epoch: 8 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23441 (0.22091) Loss: 0.23441 (0.22091)
2025-08-24,07:54:49 | INFO | Train Epoch: 8 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23320 (0.22094) Loss: 0.23320 (0.22094)
2025-08-24,07:55:59 | INFO | Train Epoch: 8 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23963 (0.22099) Loss: 0.23963 (0.22099)
2025-08-24,07:57:08 | INFO | Train Epoch: 8 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19134 (0.22091) Loss: 0.19134 (0.22091)
2025-08-24,07:58:18 | INFO | Train Epoch: 8 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17816 (0.22081) Loss: 0.17816 (0.22081)
2025-08-24,07:59:28 | INFO | Train Epoch: 8 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22309 (0.22081) Loss: 0.22309 (0.22081)
2025-08-24,08:00:38 | INFO | Train Epoch: 8 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24052 (0.22086) Loss: 0.24052 (0.22086)
2025-08-24,08:01:48 | INFO | Train Epoch: 8 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21585 (0.22085) Loss: 0.21585 (0.22085)
2025-08-24,08:02:58 | INFO | Train Epoch: 8 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17611 (0.22074) Loss: 0.17611 (0.22074)
2025-08-24,08:04:08 | INFO | Train Epoch: 8 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21739 (0.22073) Loss: 0.21739 (0.22073)
2025-08-24,08:05:18 | INFO | Train Epoch: 8 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20348 (0.22069) Loss: 0.20348 (0.22069)
2025-08-24,08:06:27 | INFO | Train Epoch: 8 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23670 (0.22073) Loss: 0.23670 (0.22073)
2025-08-24,08:07:37 | INFO | Train Epoch: 8 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20329 (0.22069) Loss: 0.20329 (0.22069)
2025-08-24,08:08:47 | INFO | Train Epoch: 8 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22797 (0.22070) Loss: 0.22797 (0.22070)
2025-08-24,08:09:57 | INFO | Train Epoch: 8 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23952 (0.22075) Loss: 0.23952 (0.22075)
2025-08-24,08:11:07 | INFO | Train Epoch: 8 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27103 (0.22087) Loss: 0.27103 (0.22087)
2025-08-24,08:12:17 | INFO | Train Epoch: 8 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26249 (0.22097) Loss: 0.26249 (0.22097)
2025-08-24,08:13:27 | INFO | Train Epoch: 8 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17088 (0.22085) Loss: 0.17088 (0.22085)
2025-08-24,08:14:36 | INFO | Train Epoch: 8 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25803 (0.22094) Loss: 0.25803 (0.22094)
2025-08-24,08:15:46 | INFO | Train Epoch: 8 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19542 (0.22088) Loss: 0.19542 (0.22088)
2025-08-24,08:16:56 | INFO | Train Epoch: 8 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23417 (0.22091) Loss: 0.23417 (0.22091)
2025-08-24,08:18:06 | INFO | Train Epoch: 8 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28349 (0.22106) Loss: 0.28349 (0.22106)
2025-08-24,08:19:16 | INFO | Train Epoch: 8 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25013 (0.22113) Loss: 0.25013 (0.22113)
2025-08-24,08:20:26 | INFO | Train Epoch: 8 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24256 (0.22118) Loss: 0.24256 (0.22118)
2025-08-24,08:21:36 | INFO | Train Epoch: 8 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21570 (0.22116) Loss: 0.21570 (0.22116)
2025-08-24,08:22:46 | INFO | Train Epoch: 8 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23941 (0.22121) Loss: 0.23941 (0.22121)
2025-08-24,08:23:55 | INFO | Train Epoch: 8 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18764 (0.22113) Loss: 0.18764 (0.22113)
2025-08-24,08:25:05 | INFO | Train Epoch: 8 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18173 (0.22104) Loss: 0.18173 (0.22104)
2025-08-24,08:26:15 | INFO | Train Epoch: 8 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18533 (0.22095) Loss: 0.18533 (0.22095)
2025-08-24,08:27:25 | INFO | Train Epoch: 8 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22950 (0.22097) Loss: 0.22950 (0.22097)
2025-08-24,08:28:35 | INFO | Train Epoch: 8 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23838 (0.22101) Loss: 0.23838 (0.22101)
2025-08-24,08:29:44 | INFO | Train Epoch: 8 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28819 (0.22117) Loss: 0.28819 (0.22117)
2025-08-24,08:30:54 | INFO | Train Epoch: 8 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22371 (0.22117) Loss: 0.22371 (0.22117)
2025-08-24,08:32:04 | INFO | Train Epoch: 8 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19387 (0.22111) Loss: 0.19387 (0.22111)
2025-08-24,08:33:14 | INFO | Train Epoch: 8 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24135 (0.22116) Loss: 0.24135 (0.22116)
2025-08-24,08:34:24 | INFO | Train Epoch: 8 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22704 (0.22117) Loss: 0.22704 (0.22117)
2025-08-24,08:35:34 | INFO | Train Epoch: 8 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26254 (0.22127) Loss: 0.26254 (0.22127)
2025-08-24,08:36:43 | INFO | Train Epoch: 8 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24117 (0.22131) Loss: 0.24117 (0.22131)
2025-08-24,08:37:53 | INFO | Train Epoch: 8 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22183 (0.22131) Loss: 0.22183 (0.22131)
2025-08-24,08:39:03 | INFO | Train Epoch: 8 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19128 (0.22125) Loss: 0.19128 (0.22125)
2025-08-24,08:40:13 | INFO | Train Epoch: 8 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19679 (0.22119) Loss: 0.19679 (0.22119)
2025-08-24,08:41:23 | INFO | Train Epoch: 8 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17724 (0.22109) Loss: 0.17724 (0.22109)
2025-08-24,08:42:33 | INFO | Train Epoch: 8 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20771 (0.22106) Loss: 0.20771 (0.22106)
2025-08-24,08:43:43 | INFO | Train Epoch: 8 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24611 (0.22112) Loss: 0.24611 (0.22112)
2025-08-24,08:44:53 | INFO | Train Epoch: 8 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19148 (0.22105) Loss: 0.19148 (0.22105)
2025-08-24,08:46:02 | INFO | Train Epoch: 8 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24027 (0.22109) Loss: 0.24027 (0.22109)
2025-08-24,08:47:12 | INFO | Train Epoch: 8 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20988 (0.22107) Loss: 0.20988 (0.22107)
2025-08-24,08:48:22 | INFO | Train Epoch: 8 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20360 (0.22103) Loss: 0.20360 (0.22103)
2025-08-24,08:49:32 | INFO | Train Epoch: 8 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24102 (0.22107) Loss: 0.24102 (0.22107)
2025-08-24,08:50:42 | INFO | Train Epoch: 8 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23382 (0.22110) Loss: 0.23382 (0.22110)
2025-08-24,08:51:52 | INFO | Train Epoch: 8 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21919 (0.22110) Loss: 0.21919 (0.22110)
2025-08-24,08:53:02 | INFO | Train Epoch: 8 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21103 (0.22107) Loss: 0.21103 (0.22107)
2025-08-24,08:54:11 | INFO | Train Epoch: 8 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19003 (0.22101) Loss: 0.19003 (0.22101)
2025-08-24,08:55:21 | INFO | Train Epoch: 8 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22758 (0.22102) Loss: 0.22758 (0.22102)
2025-08-24,08:56:31 | INFO | Train Epoch: 8 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18540 (0.22094) Loss: 0.18540 (0.22094)
2025-08-24,08:57:41 | INFO | Train Epoch: 8 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17462 (0.22084) Loss: 0.17462 (0.22084)
2025-08-24,08:58:51 | INFO | Train Epoch: 8 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25569 (0.22092) Loss: 0.25569 (0.22092)
2025-08-24,09:00:01 | INFO | Train Epoch: 8 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22557 (0.22093) Loss: 0.22557 (0.22093)
2025-08-24,09:01:11 | INFO | Train Epoch: 8 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18019 (0.22084) Loss: 0.18019 (0.22084)
2025-08-24,09:02:21 | INFO | Train Epoch: 8 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20189 (0.22080) Loss: 0.20189 (0.22080)
2025-08-24,09:03:30 | INFO | Train Epoch: 8 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23688 (0.22083) Loss: 0.23688 (0.22083)
2025-08-24,09:04:40 | INFO | Train Epoch: 8 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21682 (0.22082) Loss: 0.21682 (0.22082)
2025-08-24,09:05:50 | INFO | Train Epoch: 8 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18905 (0.22075) Loss: 0.18905 (0.22075)
2025-08-24,09:07:00 | INFO | Train Epoch: 8 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22172 (0.22076) Loss: 0.22172 (0.22076)
2025-08-24,09:08:10 | INFO | Train Epoch: 8 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20236 (0.22072) Loss: 0.20236 (0.22072)
2025-08-24,09:09:20 | INFO | Train Epoch: 8 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20741 (0.22069) Loss: 0.20741 (0.22069)
2025-08-24,09:10:30 | INFO | Train Epoch: 8 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21800 (0.22068) Loss: 0.21800 (0.22068)
2025-08-24,09:11:40 | INFO | Train Epoch: 8 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23628 (0.22072) Loss: 0.23628 (0.22072)
2025-08-24,09:12:50 | INFO | Train Epoch: 8 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24417 (0.22077) Loss: 0.24417 (0.22077)
2025-08-24,09:14:00 | INFO | Train Epoch: 8 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23312 (0.22079) Loss: 0.23312 (0.22079)
2025-08-24,09:15:10 | INFO | Train Epoch: 8 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25350 (0.22086) Loss: 0.25350 (0.22086)
2025-08-24,09:16:19 | INFO | Train Epoch: 8 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24050 (0.22090) Loss: 0.24050 (0.22090)
2025-08-24,09:17:29 | INFO | Train Epoch: 8 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26447 (0.22100) Loss: 0.26447 (0.22100)
2025-08-24,09:18:39 | INFO | Train Epoch: 8 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20170 (0.22095) Loss: 0.20170 (0.22095)
2025-08-24,09:19:49 | INFO | Train Epoch: 8 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20559 (0.22092) Loss: 0.20559 (0.22092)
2025-08-24,09:20:59 | INFO | Train Epoch: 8 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19243 (0.22086) Loss: 0.19243 (0.22086)
2025-08-24,09:22:09 | INFO | Train Epoch: 8 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22426 (0.22087) Loss: 0.22426 (0.22087)
2025-08-24,09:23:19 | INFO | Train Epoch: 8 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21332 (0.22085) Loss: 0.21332 (0.22085)
2025-08-24,09:24:28 | INFO | Train Epoch: 8 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20844 (0.22083) Loss: 0.20844 (0.22083)
2025-08-24,09:25:38 | INFO | Train Epoch: 8 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19873 (0.22078) Loss: 0.19873 (0.22078)
2025-08-24,09:26:48 | INFO | Train Epoch: 8 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21259 (0.22076) Loss: 0.21259 (0.22076)
2025-08-24,09:27:58 | INFO | Train Epoch: 8 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26207 (0.22085) Loss: 0.26207 (0.22085)
2025-08-24,09:29:08 | INFO | Train Epoch: 8 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18446 (0.22078) Loss: 0.18446 (0.22078)
2025-08-24,09:30:18 | INFO | Train Epoch: 8 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20598 (0.22074) Loss: 0.20598 (0.22074)
2025-08-24,09:31:28 | INFO | Train Epoch: 8 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23602 (0.22078) Loss: 0.23602 (0.22078)
2025-08-24,09:32:38 | INFO | Train Epoch: 8 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21949 (0.22077) Loss: 0.21949 (0.22077)
2025-08-24,09:33:47 | INFO | Train Epoch: 8 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21759 (0.22077) Loss: 0.21759 (0.22077)
2025-08-24,09:34:57 | INFO | Train Epoch: 8 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24428 (0.22082) Loss: 0.24428 (0.22082)
2025-08-24,09:36:07 | INFO | Train Epoch: 8 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21309 (0.22080) Loss: 0.21309 (0.22080)
2025-08-24,09:37:17 | INFO | Train Epoch: 8 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26271 (0.22089) Loss: 0.26271 (0.22089)
2025-08-24,09:38:27 | INFO | Train Epoch: 8 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19174 (0.22083) Loss: 0.19174 (0.22083)
2025-08-24,09:39:36 | INFO | Train Epoch: 8 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18008 (0.22074) Loss: 0.18008 (0.22074)
2025-08-24,09:40:46 | INFO | Train Epoch: 8 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13212 (0.22056) Loss: 0.13212 (0.22056)
2025-08-24,09:41:56 | INFO | Train Epoch: 8 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18402 (0.22049) Loss: 0.18402 (0.22049)
2025-08-24,09:43:06 | INFO | Train Epoch: 8 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.28815 (0.22063) Loss: 0.28815 (0.22063)
2025-08-24,09:44:16 | INFO | Train Epoch: 8 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20974 (0.22060) Loss: 0.20974 (0.22060)
2025-08-24,09:45:26 | INFO | Train Epoch: 8 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21909 (0.22060) Loss: 0.21909 (0.22060)
2025-08-24,09:46:36 | INFO | Train Epoch: 8 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17712 (0.22051) Loss: 0.17712 (0.22051)
2025-08-24,09:47:45 | INFO | Train Epoch: 8 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20527 (0.22048) Loss: 0.20527 (0.22048)
2025-08-24,09:48:55 | INFO | Train Epoch: 8 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23452 (0.22051) Loss: 0.23452 (0.22051)
2025-08-24,09:50:05 | INFO | Train Epoch: 8 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20659 (0.22048) Loss: 0.20659 (0.22048)
2025-08-24,09:51:15 | INFO | Train Epoch: 8 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20669 (0.22045) Loss: 0.20669 (0.22045)
2025-08-24,09:52:25 | INFO | Train Epoch: 8 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.29272 (0.22060) Loss: 0.29272 (0.22060)
2025-08-24,09:53:35 | INFO | Train Epoch: 8 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22971 (0.22062) Loss: 0.22971 (0.22062)
2025-08-24,09:54:44 | INFO | Train Epoch: 8 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18957 (0.22056) Loss: 0.18957 (0.22056)
2025-08-24,09:55:54 | INFO | Train Epoch: 8 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24790 (0.22061) Loss: 0.24790 (0.22061)
2025-08-24,09:57:04 | INFO | Train Epoch: 8 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20893 (0.22059) Loss: 0.20893 (0.22059)
2025-08-24,09:58:14 | INFO | Train Epoch: 8 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21995 (0.22059) Loss: 0.21995 (0.22059)
2025-08-24,09:59:24 | INFO | Train Epoch: 8 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25064 (0.22064) Loss: 0.25064 (0.22064)
2025-08-24,10:00:34 | INFO | Train Epoch: 8 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23369 (0.22067) Loss: 0.23369 (0.22067)
2025-08-24,10:01:43 | INFO | Train Epoch: 8 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.26380 (0.22075) Loss: 0.26380 (0.22075)
2025-08-24,10:02:53 | INFO | Train Epoch: 8 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22410 (0.22076) Loss: 0.22410 (0.22076)
2025-08-24,10:04:03 | INFO | Train Epoch: 8 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18804 (0.22070) Loss: 0.18804 (0.22070)
2025-08-24,10:05:13 | INFO | Train Epoch: 8 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24876 (0.22075) Loss: 0.24876 (0.22075)
2025-08-24,10:06:23 | INFO | Train Epoch: 8 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19775 (0.22071) Loss: 0.19775 (0.22071)
2025-08-24,10:07:32 | INFO | Train Epoch: 8 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23899 (0.22074) Loss: 0.23899 (0.22074)
2025-08-24,10:08:39 | INFO | Train Epoch: 8 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21870 (0.22074) Loss: 0.21870 (0.22074)
2025-08-24,10:08:39 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-24,10:08:39 | INFO | [Epoch 8] Average Step Time: 0.701s | Average GPU Memory: 43.4 GB
2025-08-24,10:08:39 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-24,10:08:39 | INFO | Starting zero-shot imagenet.
2025-08-24,10:08:39 | INFO | Building zero-shot classifier
2025-08-24,10:08:48 | INFO | Using classifier
2025-08-24,10:09:30 | INFO | Finished zero-shot imagenet.
2025-08-24,10:09:30 | INFO | Eval Epoch: 9 imagenet-zeroshot-val-top1: 0.2981	imagenet-zeroshot-val-top5: 0.5672
2025-08-24,10:09:31 | INFO | Start epoch 9
2025-08-24,10:09:33 | INFO | Train Epoch: 9 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15186 (0.15186) Loss: 0.15186 (0.15186)
2025-08-24,10:10:42 | INFO | Train Epoch: 9 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21475 (0.18331) Loss: 0.21475 (0.18331)
2025-08-24,10:11:52 | INFO | Train Epoch: 9 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23998 (0.20220) Loss: 0.23998 (0.20220)
2025-08-24,10:13:02 | INFO | Train Epoch: 9 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18879 (0.19885) Loss: 0.18879 (0.19885)
2025-08-24,10:14:12 | INFO | Train Epoch: 9 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16846 (0.19277) Loss: 0.16846 (0.19277)
2025-08-24,10:15:21 | INFO | Train Epoch: 9 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20153 (0.19423) Loss: 0.20153 (0.19423)
2025-08-24,10:16:31 | INFO | Train Epoch: 9 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.25376 (0.20274) Loss: 0.25376 (0.20274)
2025-08-24,10:17:40 | INFO | Train Epoch: 9 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19101 (0.20127) Loss: 0.19101 (0.20127)
2025-08-24,10:18:50 | INFO | Train Epoch: 9 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13172 (0.19354) Loss: 0.13172 (0.19354)
2025-08-24,10:19:59 | INFO | Train Epoch: 9 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20679 (0.19487) Loss: 0.20679 (0.19487)
2025-08-24,10:21:09 | INFO | Train Epoch: 9 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15783 (0.19150) Loss: 0.15783 (0.19150)
2025-08-24,10:22:18 | INFO | Train Epoch: 9 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19272 (0.19160) Loss: 0.19272 (0.19160)
2025-08-24,10:23:28 | INFO | Train Epoch: 9 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19988 (0.19224) Loss: 0.19988 (0.19224)
2025-08-24,10:24:38 | INFO | Train Epoch: 9 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16197 (0.19008) Loss: 0.16197 (0.19008)
2025-08-24,10:25:47 | INFO | Train Epoch: 9 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18314 (0.18961) Loss: 0.18314 (0.18961)
2025-08-24,10:26:57 | INFO | Train Epoch: 9 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21388 (0.19113) Loss: 0.21388 (0.19113)
2025-08-24,10:28:06 | INFO | Train Epoch: 9 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18633 (0.19085) Loss: 0.18633 (0.19085)
2025-08-24,10:29:16 | INFO | Train Epoch: 9 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16350 (0.18933) Loss: 0.16350 (0.18933)
2025-08-24,10:30:26 | INFO | Train Epoch: 9 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20763 (0.19029) Loss: 0.20763 (0.19029)
2025-08-24,10:31:36 | INFO | Train Epoch: 9 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19762 (0.19066) Loss: 0.19762 (0.19066)
2025-08-24,10:32:45 | INFO | Train Epoch: 9 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19860 (0.19104) Loss: 0.19860 (0.19104)
2025-08-24,10:33:55 | INFO | Train Epoch: 9 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15458 (0.18938) Loss: 0.15458 (0.18938)
2025-08-24,10:35:05 | INFO | Train Epoch: 9 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15714 (0.18798) Loss: 0.15714 (0.18798)
2025-08-24,10:36:14 | INFO | Train Epoch: 9 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17700 (0.18752) Loss: 0.17700 (0.18752)
2025-08-24,10:37:24 | INFO | Train Epoch: 9 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18314 (0.18735) Loss: 0.18314 (0.18735)
2025-08-24,10:38:34 | INFO | Train Epoch: 9 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13600 (0.18537) Loss: 0.13600 (0.18537)
2025-08-24,10:39:44 | INFO | Train Epoch: 9 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16050 (0.18445) Loss: 0.16050 (0.18445)
2025-08-24,10:40:53 | INFO | Train Epoch: 9 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21240 (0.18545) Loss: 0.21240 (0.18545)
2025-08-24,10:42:03 | INFO | Train Epoch: 9 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15477 (0.18439) Loss: 0.15477 (0.18439)
2025-08-24,10:43:12 | INFO | Train Epoch: 9 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18150 (0.18429) Loss: 0.18150 (0.18429)
2025-08-24,10:44:22 | INFO | Train Epoch: 9 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12500 (0.18238) Loss: 0.12500 (0.18238)
2025-08-24,10:45:32 | INFO | Train Epoch: 9 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16685 (0.18190) Loss: 0.16685 (0.18190)
2025-08-24,10:46:42 | INFO | Train Epoch: 9 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17634 (0.18173) Loss: 0.17634 (0.18173)
2025-08-24,10:47:51 | INFO | Train Epoch: 9 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22663 (0.18305) Loss: 0.22663 (0.18305)
2025-08-24,10:49:01 | INFO | Train Epoch: 9 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16678 (0.18258) Loss: 0.16678 (0.18258)
2025-08-24,10:50:11 | INFO | Train Epoch: 9 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19585 (0.18295) Loss: 0.19585 (0.18295)
2025-08-24,10:51:20 | INFO | Train Epoch: 9 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13969 (0.18178) Loss: 0.13969 (0.18178)
2025-08-24,10:52:30 | INFO | Train Epoch: 9 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18750 (0.18193) Loss: 0.18750 (0.18193)
2025-08-24,10:53:40 | INFO | Train Epoch: 9 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20733 (0.18258) Loss: 0.20733 (0.18258)
2025-08-24,10:54:49 | INFO | Train Epoch: 9 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18313 (0.18260) Loss: 0.18313 (0.18260)
2025-08-24,10:55:59 | INFO | Train Epoch: 9 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14662 (0.18172) Loss: 0.14662 (0.18172)
2025-08-24,10:57:09 | INFO | Train Epoch: 9 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18179 (0.18172) Loss: 0.18179 (0.18172)
2025-08-24,10:58:18 | INFO | Train Epoch: 9 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23367 (0.18293) Loss: 0.23367 (0.18293)
2025-08-24,10:59:28 | INFO | Train Epoch: 9 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19608 (0.18323) Loss: 0.19608 (0.18323)
2025-08-24,11:00:38 | INFO | Train Epoch: 9 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20498 (0.18371) Loss: 0.20498 (0.18371)
2025-08-24,11:01:48 | INFO | Train Epoch: 9 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16755 (0.18336) Loss: 0.16755 (0.18336)
2025-08-24,11:02:57 | INFO | Train Epoch: 9 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17797 (0.18325) Loss: 0.17797 (0.18325)
2025-08-24,11:04:07 | INFO | Train Epoch: 9 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15148 (0.18258) Loss: 0.15148 (0.18258)
2025-08-24,11:05:17 | INFO | Train Epoch: 9 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19986 (0.18294) Loss: 0.19986 (0.18294)
2025-08-24,11:06:26 | INFO | Train Epoch: 9 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18057 (0.18289) Loss: 0.18057 (0.18289)
2025-08-24,11:07:36 | INFO | Train Epoch: 9 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18278 (0.18289) Loss: 0.18278 (0.18289)
2025-08-24,11:08:46 | INFO | Train Epoch: 9 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22460 (0.18369) Loss: 0.22460 (0.18369)
2025-08-24,11:09:55 | INFO | Train Epoch: 9 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18655 (0.18374) Loss: 0.18655 (0.18374)
2025-08-24,11:11:05 | INFO | Train Epoch: 9 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20286 (0.18410) Loss: 0.20286 (0.18410)
2025-08-24,11:12:14 | INFO | Train Epoch: 9 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23622 (0.18505) Loss: 0.23622 (0.18505)
2025-08-24,11:13:24 | INFO | Train Epoch: 9 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20930 (0.18548) Loss: 0.20930 (0.18548)
2025-08-24,11:14:34 | INFO | Train Epoch: 9 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15495 (0.18494) Loss: 0.15495 (0.18494)
2025-08-24,11:15:43 | INFO | Train Epoch: 9 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19483 (0.18511) Loss: 0.19483 (0.18511)
2025-08-24,11:16:53 | INFO | Train Epoch: 9 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18881 (0.18518) Loss: 0.18881 (0.18518)
2025-08-24,11:18:03 | INFO | Train Epoch: 9 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20815 (0.18556) Loss: 0.20815 (0.18556)
2025-08-24,11:19:12 | INFO | Train Epoch: 9 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16526 (0.18523) Loss: 0.16526 (0.18523)
2025-08-24,11:20:22 | INFO | Train Epoch: 9 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16686 (0.18493) Loss: 0.16686 (0.18493)
2025-08-24,11:21:32 | INFO | Train Epoch: 9 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19053 (0.18502) Loss: 0.19053 (0.18502)
2025-08-24,11:22:41 | INFO | Train Epoch: 9 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18281 (0.18498) Loss: 0.18281 (0.18498)
2025-08-24,11:23:51 | INFO | Train Epoch: 9 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14525 (0.18437) Loss: 0.14525 (0.18437)
2025-08-24,11:25:01 | INFO | Train Epoch: 9 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13360 (0.18360) Loss: 0.13360 (0.18360)
2025-08-24,11:26:10 | INFO | Train Epoch: 9 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18478 (0.18362) Loss: 0.18478 (0.18362)
2025-08-24,11:27:20 | INFO | Train Epoch: 9 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20337 (0.18391) Loss: 0.20337 (0.18391)
2025-08-24,11:28:30 | INFO | Train Epoch: 9 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19892 (0.18413) Loss: 0.19892 (0.18413)
2025-08-24,11:29:39 | INFO | Train Epoch: 9 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19080 (0.18422) Loss: 0.19080 (0.18422)
2025-08-24,11:30:49 | INFO | Train Epoch: 9 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15477 (0.18381) Loss: 0.15477 (0.18381)
2025-08-24,11:31:58 | INFO | Train Epoch: 9 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12335 (0.18297) Loss: 0.12335 (0.18297)
2025-08-24,11:33:08 | INFO | Train Epoch: 9 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21102 (0.18335) Loss: 0.21102 (0.18335)
2025-08-24,11:34:18 | INFO | Train Epoch: 9 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19560 (0.18352) Loss: 0.19560 (0.18352)
2025-08-24,11:35:28 | INFO | Train Epoch: 9 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15789 (0.18318) Loss: 0.15789 (0.18318)
2025-08-24,11:36:37 | INFO | Train Epoch: 9 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18574 (0.18321) Loss: 0.18574 (0.18321)
2025-08-24,11:37:47 | INFO | Train Epoch: 9 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16550 (0.18298) Loss: 0.16550 (0.18298)
2025-08-24,11:38:57 | INFO | Train Epoch: 9 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17871 (0.18293) Loss: 0.17871 (0.18293)
2025-08-24,11:40:07 | INFO | Train Epoch: 9 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15738 (0.18260) Loss: 0.15738 (0.18260)
2025-08-24,11:41:16 | INFO | Train Epoch: 9 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22796 (0.18317) Loss: 0.22796 (0.18317)
2025-08-24,11:42:26 | INFO | Train Epoch: 9 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15850 (0.18287) Loss: 0.15850 (0.18287)
2025-08-24,11:43:36 | INFO | Train Epoch: 9 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18402 (0.18288) Loss: 0.18402 (0.18288)
2025-08-24,11:44:45 | INFO | Train Epoch: 9 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17992 (0.18284) Loss: 0.17992 (0.18284)
2025-08-24,11:45:55 | INFO | Train Epoch: 9 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20889 (0.18315) Loss: 0.20889 (0.18315)
2025-08-24,11:47:05 | INFO | Train Epoch: 9 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16601 (0.18295) Loss: 0.16601 (0.18295)
2025-08-24,11:48:15 | INFO | Train Epoch: 9 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19522 (0.18310) Loss: 0.19522 (0.18310)
2025-08-24,11:49:25 | INFO | Train Epoch: 9 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18429 (0.18311) Loss: 0.18429 (0.18311)
2025-08-24,11:50:34 | INFO | Train Epoch: 9 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15846 (0.18283) Loss: 0.15846 (0.18283)
2025-08-24,11:51:44 | INFO | Train Epoch: 9 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18459 (0.18285) Loss: 0.18459 (0.18285)
2025-08-24,11:52:54 | INFO | Train Epoch: 9 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14981 (0.18248) Loss: 0.14981 (0.18248)
2025-08-24,11:54:04 | INFO | Train Epoch: 9 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23125 (0.18302) Loss: 0.23125 (0.18302)
2025-08-24,11:55:13 | INFO | Train Epoch: 9 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17007 (0.18288) Loss: 0.17007 (0.18288)
2025-08-24,11:56:23 | INFO | Train Epoch: 9 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14502 (0.18247) Loss: 0.14502 (0.18247)
2025-08-24,11:57:33 | INFO | Train Epoch: 9 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16774 (0.18231) Loss: 0.16774 (0.18231)
2025-08-24,11:58:42 | INFO | Train Epoch: 9 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21456 (0.18265) Loss: 0.21456 (0.18265)
2025-08-24,11:59:52 | INFO | Train Epoch: 9 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17752 (0.18260) Loss: 0.17752 (0.18260)
2025-08-24,12:01:02 | INFO | Train Epoch: 9 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18237 (0.18260) Loss: 0.18237 (0.18260)
2025-08-24,12:02:11 | INFO | Train Epoch: 9 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13359 (0.18210) Loss: 0.13359 (0.18210)
2025-08-24,12:03:21 | INFO | Train Epoch: 9 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14928 (0.18177) Loss: 0.14928 (0.18177)
2025-08-24,12:04:31 | INFO | Train Epoch: 9 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20099 (0.18196) Loss: 0.20099 (0.18196)
2025-08-24,12:05:41 | INFO | Train Epoch: 9 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16554 (0.18179) Loss: 0.16554 (0.18179)
2025-08-24,12:06:50 | INFO | Train Epoch: 9 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16463 (0.18163) Loss: 0.16463 (0.18163)
2025-08-24,12:08:00 | INFO | Train Epoch: 9 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14242 (0.18125) Loss: 0.14242 (0.18125)
2025-08-24,12:09:10 | INFO | Train Epoch: 9 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15787 (0.18102) Loss: 0.15787 (0.18102)
2025-08-24,12:10:20 | INFO | Train Epoch: 9 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16274 (0.18085) Loss: 0.16274 (0.18085)
2025-08-24,12:11:29 | INFO | Train Epoch: 9 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13828 (0.18045) Loss: 0.13828 (0.18045)
2025-08-24,12:12:39 | INFO | Train Epoch: 9 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18528 (0.18049) Loss: 0.18528 (0.18049)
2025-08-24,12:13:49 | INFO | Train Epoch: 9 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16200 (0.18032) Loss: 0.16200 (0.18032)
2025-08-24,12:14:58 | INFO | Train Epoch: 9 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16603 (0.18019) Loss: 0.16603 (0.18019)
2025-08-24,12:16:08 | INFO | Train Epoch: 9 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18723 (0.18025) Loss: 0.18723 (0.18025)
2025-08-24,12:17:18 | INFO | Train Epoch: 9 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19702 (0.18040) Loss: 0.19702 (0.18040)
2025-08-24,12:18:28 | INFO | Train Epoch: 9 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12102 (0.17987) Loss: 0.12102 (0.17987)
2025-08-24,12:19:37 | INFO | Train Epoch: 9 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16974 (0.17978) Loss: 0.16974 (0.17978)
2025-08-24,12:20:47 | INFO | Train Epoch: 9 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17173 (0.17971) Loss: 0.17173 (0.17971)
2025-08-24,12:21:57 | INFO | Train Epoch: 9 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15357 (0.17949) Loss: 0.15357 (0.17949)
2025-08-24,12:23:07 | INFO | Train Epoch: 9 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20944 (0.17974) Loss: 0.20944 (0.17974)
2025-08-24,12:24:16 | INFO | Train Epoch: 9 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13970 (0.17940) Loss: 0.13970 (0.17940)
2025-08-24,12:25:26 | INFO | Train Epoch: 9 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18126 (0.17942) Loss: 0.18126 (0.17942)
2025-08-24,12:26:36 | INFO | Train Epoch: 9 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19852 (0.17958) Loss: 0.19852 (0.17958)
2025-08-24,12:27:46 | INFO | Train Epoch: 9 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17171 (0.17951) Loss: 0.17171 (0.17951)
2025-08-24,12:28:56 | INFO | Train Epoch: 9 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20287 (0.17971) Loss: 0.20287 (0.17971)
2025-08-24,12:30:05 | INFO | Train Epoch: 9 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16088 (0.17955) Loss: 0.16088 (0.17955)
2025-08-24,12:31:15 | INFO | Train Epoch: 9 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22086 (0.17989) Loss: 0.22086 (0.17989)
2025-08-24,12:32:25 | INFO | Train Epoch: 9 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15349 (0.17967) Loss: 0.15349 (0.17967)
2025-08-24,12:33:35 | INFO | Train Epoch: 9 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18482 (0.17971) Loss: 0.18482 (0.17971)
2025-08-24,12:34:44 | INFO | Train Epoch: 9 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15522 (0.17952) Loss: 0.15522 (0.17952)
2025-08-24,12:35:54 | INFO | Train Epoch: 9 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19140 (0.17961) Loss: 0.19140 (0.17961)
2025-08-24,12:37:04 | INFO | Train Epoch: 9 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20690 (0.17983) Loss: 0.20690 (0.17983)
2025-08-24,12:38:14 | INFO | Train Epoch: 9 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19520 (0.17995) Loss: 0.19520 (0.17995)
2025-08-24,12:39:23 | INFO | Train Epoch: 9 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13088 (0.17957) Loss: 0.13088 (0.17957)
2025-08-24,12:40:33 | INFO | Train Epoch: 9 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17153 (0.17951) Loss: 0.17153 (0.17951)
2025-08-24,12:41:43 | INFO | Train Epoch: 9 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16514 (0.17940) Loss: 0.16514 (0.17940)
2025-08-24,12:42:53 | INFO | Train Epoch: 9 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15771 (0.17924) Loss: 0.15771 (0.17924)
2025-08-24,12:44:03 | INFO | Train Epoch: 9 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23703 (0.17967) Loss: 0.23703 (0.17967)
2025-08-24,12:45:12 | INFO | Train Epoch: 9 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17123 (0.17960) Loss: 0.17123 (0.17960)
2025-08-24,12:46:22 | INFO | Train Epoch: 9 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19354 (0.17971) Loss: 0.19354 (0.17971)
2025-08-24,12:47:32 | INFO | Train Epoch: 9 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18696 (0.17976) Loss: 0.18696 (0.17976)
2025-08-24,12:48:42 | INFO | Train Epoch: 9 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17523 (0.17973) Loss: 0.17523 (0.17973)
2025-08-24,12:49:51 | INFO | Train Epoch: 9 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14810 (0.17950) Loss: 0.14810 (0.17950)
2025-08-24,12:51:01 | INFO | Train Epoch: 9 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20814 (0.17970) Loss: 0.20814 (0.17970)
2025-08-24,12:52:11 | INFO | Train Epoch: 9 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12765 (0.17934) Loss: 0.12765 (0.17934)
2025-08-24,12:53:21 | INFO | Train Epoch: 9 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17534 (0.17931) Loss: 0.17534 (0.17931)
2025-08-24,12:54:31 | INFO | Train Epoch: 9 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19902 (0.17944) Loss: 0.19902 (0.17944)
2025-08-24,12:55:40 | INFO | Train Epoch: 9 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16351 (0.17933) Loss: 0.16351 (0.17933)
2025-08-24,12:56:50 | INFO | Train Epoch: 9 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18334 (0.17936) Loss: 0.18334 (0.17936)
2025-08-24,12:58:00 | INFO | Train Epoch: 9 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14485 (0.17913) Loss: 0.14485 (0.17913)
2025-08-24,12:59:10 | INFO | Train Epoch: 9 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15791 (0.17898) Loss: 0.15791 (0.17898)
2025-08-24,13:00:20 | INFO | Train Epoch: 9 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.27538 (0.17963) Loss: 0.27538 (0.17963)
2025-08-24,13:01:29 | INFO | Train Epoch: 9 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19389 (0.17973) Loss: 0.19389 (0.17973)
2025-08-24,13:02:39 | INFO | Train Epoch: 9 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15864 (0.17959) Loss: 0.15864 (0.17959)
2025-08-24,13:03:49 | INFO | Train Epoch: 9 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13601 (0.17930) Loss: 0.13601 (0.17930)
2025-08-24,13:04:59 | INFO | Train Epoch: 9 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16719 (0.17922) Loss: 0.16719 (0.17922)
2025-08-24,13:06:08 | INFO | Train Epoch: 9 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15385 (0.17905) Loss: 0.15385 (0.17905)
2025-08-24,13:07:18 | INFO | Train Epoch: 9 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17918 (0.17905) Loss: 0.17918 (0.17905)
2025-08-24,13:08:28 | INFO | Train Epoch: 9 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15942 (0.17893) Loss: 0.15942 (0.17893)
2025-08-24,13:09:38 | INFO | Train Epoch: 9 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19384 (0.17902) Loss: 0.19384 (0.17902)
2025-08-24,13:10:47 | INFO | Train Epoch: 9 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16921 (0.17896) Loss: 0.16921 (0.17896)
2025-08-24,13:11:57 | INFO | Train Epoch: 9 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20017 (0.17909) Loss: 0.20017 (0.17909)
2025-08-24,13:13:07 | INFO | Train Epoch: 9 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14801 (0.17890) Loss: 0.14801 (0.17890)
2025-08-24,13:14:17 | INFO | Train Epoch: 9 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17693 (0.17889) Loss: 0.17693 (0.17889)
2025-08-24,13:15:27 | INFO | Train Epoch: 9 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15912 (0.17876) Loss: 0.15912 (0.17876)
2025-08-24,13:16:36 | INFO | Train Epoch: 9 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16958 (0.17871) Loss: 0.16958 (0.17871)
2025-08-24,13:17:46 | INFO | Train Epoch: 9 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15340 (0.17855) Loss: 0.15340 (0.17855)
2025-08-24,13:18:56 | INFO | Train Epoch: 9 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18131 (0.17857) Loss: 0.18131 (0.17857)
2025-08-24,13:20:06 | INFO | Train Epoch: 9 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14457 (0.17836) Loss: 0.14457 (0.17836)
2025-08-24,13:21:15 | INFO | Train Epoch: 9 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17205 (0.17833) Loss: 0.17205 (0.17833)
2025-08-24,13:22:25 | INFO | Train Epoch: 9 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12299 (0.17799) Loss: 0.12299 (0.17799)
2025-08-24,13:23:35 | INFO | Train Epoch: 9 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17336 (0.17797) Loss: 0.17336 (0.17797)
2025-08-24,13:24:44 | INFO | Train Epoch: 9 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14367 (0.17776) Loss: 0.14367 (0.17776)
2025-08-24,13:25:54 | INFO | Train Epoch: 9 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22198 (0.17802) Loss: 0.22198 (0.17802)
2025-08-24,13:27:04 | INFO | Train Epoch: 9 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22128 (0.17828) Loss: 0.22128 (0.17828)
2025-08-24,13:28:14 | INFO | Train Epoch: 9 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18831 (0.17833) Loss: 0.18831 (0.17833)
2025-08-24,13:29:24 | INFO | Train Epoch: 9 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19833 (0.17845) Loss: 0.19833 (0.17845)
2025-08-24,13:30:33 | INFO | Train Epoch: 9 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16699 (0.17838) Loss: 0.16699 (0.17838)
2025-08-24,13:31:43 | INFO | Train Epoch: 9 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13479 (0.17814) Loss: 0.13479 (0.17814)
2025-08-24,13:32:53 | INFO | Train Epoch: 9 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19848 (0.17825) Loss: 0.19848 (0.17825)
2025-08-24,13:34:03 | INFO | Train Epoch: 9 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15844 (0.17814) Loss: 0.15844 (0.17814)
2025-08-24,13:35:13 | INFO | Train Epoch: 9 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18281 (0.17817) Loss: 0.18281 (0.17817)
2025-08-24,13:36:22 | INFO | Train Epoch: 9 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15861 (0.17806) Loss: 0.15861 (0.17806)
2025-08-24,13:37:32 | INFO | Train Epoch: 9 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17119 (0.17802) Loss: 0.17119 (0.17802)
2025-08-24,13:38:42 | INFO | Train Epoch: 9 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18661 (0.17807) Loss: 0.18661 (0.17807)
2025-08-24,13:39:52 | INFO | Train Epoch: 9 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16490 (0.17799) Loss: 0.16490 (0.17799)
2025-08-24,13:41:01 | INFO | Train Epoch: 9 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15480 (0.17787) Loss: 0.15480 (0.17787)
2025-08-24,13:42:11 | INFO | Train Epoch: 9 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17394 (0.17784) Loss: 0.17394 (0.17784)
2025-08-24,13:43:21 | INFO | Train Epoch: 9 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19076 (0.17791) Loss: 0.19076 (0.17791)
2025-08-24,13:44:31 | INFO | Train Epoch: 9 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13548 (0.17769) Loss: 0.13548 (0.17769)
2025-08-24,13:45:41 | INFO | Train Epoch: 9 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16981 (0.17764) Loss: 0.16981 (0.17764)
2025-08-24,13:46:50 | INFO | Train Epoch: 9 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10528 (0.17726) Loss: 0.10528 (0.17726)
2025-08-24,13:48:00 | INFO | Train Epoch: 9 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22179 (0.17750) Loss: 0.22179 (0.17750)
2025-08-24,13:49:10 | INFO | Train Epoch: 9 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16005 (0.17740) Loss: 0.16005 (0.17740)
2025-08-24,13:50:20 | INFO | Train Epoch: 9 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14351 (0.17723) Loss: 0.14351 (0.17723)
2025-08-24,13:51:30 | INFO | Train Epoch: 9 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16832 (0.17718) Loss: 0.16832 (0.17718)
2025-08-24,13:52:39 | INFO | Train Epoch: 9 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17878 (0.17719) Loss: 0.17878 (0.17719)
2025-08-24,13:53:49 | INFO | Train Epoch: 9 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18654 (0.17724) Loss: 0.18654 (0.17724)
2025-08-24,13:54:59 | INFO | Train Epoch: 9 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22176 (0.17746) Loss: 0.22176 (0.17746)
2025-08-24,13:56:08 | INFO | Train Epoch: 9 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13393 (0.17724) Loss: 0.13393 (0.17724)
2025-08-24,13:57:18 | INFO | Train Epoch: 9 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15501 (0.17713) Loss: 0.15501 (0.17713)
2025-08-24,13:58:28 | INFO | Train Epoch: 9 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15780 (0.17703) Loss: 0.15780 (0.17703)
2025-08-24,13:59:38 | INFO | Train Epoch: 9 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14115 (0.17685) Loss: 0.14115 (0.17685)
2025-08-24,14:00:47 | INFO | Train Epoch: 9 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16462 (0.17679) Loss: 0.16462 (0.17679)
2025-08-24,14:01:57 | INFO | Train Epoch: 9 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17701 (0.17679) Loss: 0.17701 (0.17679)
2025-08-24,14:03:07 | INFO | Train Epoch: 9 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16702 (0.17674) Loss: 0.16702 (0.17674)
2025-08-24,14:04:17 | INFO | Train Epoch: 9 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17525 (0.17674) Loss: 0.17525 (0.17674)
2025-08-24,14:05:27 | INFO | Train Epoch: 9 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16488 (0.17668) Loss: 0.16488 (0.17668)
2025-08-24,14:06:36 | INFO | Train Epoch: 9 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17262 (0.17666) Loss: 0.17262 (0.17666)
2025-08-24,14:07:46 | INFO | Train Epoch: 9 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12179 (0.17639) Loss: 0.12179 (0.17639)
2025-08-24,14:08:56 | INFO | Train Epoch: 9 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14104 (0.17622) Loss: 0.14104 (0.17622)
2025-08-24,14:10:06 | INFO | Train Epoch: 9 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18289 (0.17625) Loss: 0.18289 (0.17625)
2025-08-24,14:11:16 | INFO | Train Epoch: 9 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13763 (0.17607) Loss: 0.13763 (0.17607)
2025-08-24,14:12:25 | INFO | Train Epoch: 9 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21287 (0.17624) Loss: 0.21287 (0.17624)
2025-08-24,14:13:35 | INFO | Train Epoch: 9 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18131 (0.17627) Loss: 0.18131 (0.17627)
2025-08-24,14:14:45 | INFO | Train Epoch: 9 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17683 (0.17627) Loss: 0.17683 (0.17627)
2025-08-24,14:15:55 | INFO | Train Epoch: 9 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19376 (0.17635) Loss: 0.19376 (0.17635)
2025-08-24,14:17:04 | INFO | Train Epoch: 9 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19064 (0.17642) Loss: 0.19064 (0.17642)
2025-08-24,14:18:14 | INFO | Train Epoch: 9 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16868 (0.17638) Loss: 0.16868 (0.17638)
2025-08-24,14:19:24 | INFO | Train Epoch: 9 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15712 (0.17629) Loss: 0.15712 (0.17629)
2025-08-24,14:20:34 | INFO | Train Epoch: 9 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18948 (0.17635) Loss: 0.18948 (0.17635)
2025-08-24,14:21:44 | INFO | Train Epoch: 9 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18756 (0.17641) Loss: 0.18756 (0.17641)
2025-08-24,14:22:53 | INFO | Train Epoch: 9 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16329 (0.17635) Loss: 0.16329 (0.17635)
2025-08-24,14:24:03 | INFO | Train Epoch: 9 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12757 (0.17612) Loss: 0.12757 (0.17612)
2025-08-24,14:25:13 | INFO | Train Epoch: 9 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15878 (0.17605) Loss: 0.15878 (0.17605)
2025-08-24,14:26:23 | INFO | Train Epoch: 9 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14829 (0.17592) Loss: 0.14829 (0.17592)
2025-08-24,14:27:32 | INFO | Train Epoch: 9 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14280 (0.17577) Loss: 0.14280 (0.17577)
2025-08-24,14:28:42 | INFO | Train Epoch: 9 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14341 (0.17563) Loss: 0.14341 (0.17563)
2025-08-24,14:29:52 | INFO | Train Epoch: 9 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21732 (0.17581) Loss: 0.21732 (0.17581)
2025-08-24,14:31:02 | INFO | Train Epoch: 9 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17583 (0.17581) Loss: 0.17583 (0.17581)
2025-08-24,14:32:12 | INFO | Train Epoch: 9 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20351 (0.17594) Loss: 0.20351 (0.17594)
2025-08-24,14:33:22 | INFO | Train Epoch: 9 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19841 (0.17603) Loss: 0.19841 (0.17603)
2025-08-24,14:34:32 | INFO | Train Epoch: 9 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16977 (0.17601) Loss: 0.16977 (0.17601)
2025-08-24,14:35:41 | INFO | Train Epoch: 9 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23666 (0.17627) Loss: 0.23666 (0.17627)
2025-08-24,14:36:51 | INFO | Train Epoch: 9 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15148 (0.17616) Loss: 0.15148 (0.17616)
2025-08-24,14:38:01 | INFO | Train Epoch: 9 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17643 (0.17616) Loss: 0.17643 (0.17616)
2025-08-24,14:39:11 | INFO | Train Epoch: 9 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19494 (0.17624) Loss: 0.19494 (0.17624)
2025-08-24,14:40:21 | INFO | Train Epoch: 9 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14297 (0.17610) Loss: 0.14297 (0.17610)
2025-08-24,14:41:31 | INFO | Train Epoch: 9 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16489 (0.17605) Loss: 0.16489 (0.17605)
2025-08-24,14:42:41 | INFO | Train Epoch: 9 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16840 (0.17602) Loss: 0.16840 (0.17602)
2025-08-24,14:43:51 | INFO | Train Epoch: 9 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18752 (0.17607) Loss: 0.18752 (0.17607)
2025-08-24,14:45:00 | INFO | Train Epoch: 9 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22843 (0.17629) Loss: 0.22843 (0.17629)
2025-08-24,14:46:10 | INFO | Train Epoch: 9 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16062 (0.17622) Loss: 0.16062 (0.17622)
2025-08-24,14:47:20 | INFO | Train Epoch: 9 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14279 (0.17609) Loss: 0.14279 (0.17609)
2025-08-24,14:48:30 | INFO | Train Epoch: 9 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14908 (0.17597) Loss: 0.14908 (0.17597)
2025-08-24,14:49:39 | INFO | Train Epoch: 9 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19296 (0.17604) Loss: 0.19296 (0.17604)
2025-08-24,14:50:49 | INFO | Train Epoch: 9 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16773 (0.17601) Loss: 0.16773 (0.17601)
2025-08-24,14:51:59 | INFO | Train Epoch: 9 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14643 (0.17589) Loss: 0.14643 (0.17589)
2025-08-24,14:53:09 | INFO | Train Epoch: 9 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19136 (0.17595) Loss: 0.19136 (0.17595)
2025-08-24,14:54:19 | INFO | Train Epoch: 9 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15782 (0.17588) Loss: 0.15782 (0.17588)
2025-08-24,14:55:28 | INFO | Train Epoch: 9 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16118 (0.17582) Loss: 0.16118 (0.17582)
2025-08-24,14:56:38 | INFO | Train Epoch: 9 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19163 (0.17588) Loss: 0.19163 (0.17588)
2025-08-24,14:57:48 | INFO | Train Epoch: 9 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18200 (0.17591) Loss: 0.18200 (0.17591)
2025-08-24,14:58:58 | INFO | Train Epoch: 9 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17423 (0.17590) Loss: 0.17423 (0.17590)
2025-08-24,15:00:08 | INFO | Train Epoch: 9 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21053 (0.17604) Loss: 0.21053 (0.17604)
2025-08-24,15:01:18 | INFO | Train Epoch: 9 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18326 (0.17607) Loss: 0.18326 (0.17607)
2025-08-24,15:02:28 | INFO | Train Epoch: 9 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13901 (0.17592) Loss: 0.13901 (0.17592)
2025-08-24,15:03:37 | INFO | Train Epoch: 9 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19278 (0.17599) Loss: 0.19278 (0.17599)
2025-08-24,15:04:47 | INFO | Train Epoch: 9 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14416 (0.17586) Loss: 0.14416 (0.17586)
2025-08-24,15:05:57 | INFO | Train Epoch: 9 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18084 (0.17588) Loss: 0.18084 (0.17588)
2025-08-24,15:07:07 | INFO | Train Epoch: 9 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20765 (0.17600) Loss: 0.20765 (0.17600)
2025-08-24,15:08:17 | INFO | Train Epoch: 9 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24092 (0.17626) Loss: 0.24092 (0.17626)
2025-08-24,15:09:27 | INFO | Train Epoch: 9 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17291 (0.17624) Loss: 0.17291 (0.17624)
2025-08-24,15:10:36 | INFO | Train Epoch: 9 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17472 (0.17624) Loss: 0.17472 (0.17624)
2025-08-24,15:11:46 | INFO | Train Epoch: 9 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13936 (0.17610) Loss: 0.13936 (0.17610)
2025-08-24,15:12:56 | INFO | Train Epoch: 9 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17061 (0.17608) Loss: 0.17061 (0.17608)
2025-08-24,15:14:06 | INFO | Train Epoch: 9 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16283 (0.17602) Loss: 0.16283 (0.17602)
2025-08-24,15:15:16 | INFO | Train Epoch: 9 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17030 (0.17600) Loss: 0.17030 (0.17600)
2025-08-24,15:16:26 | INFO | Train Epoch: 9 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16398 (0.17596) Loss: 0.16398 (0.17596)
2025-08-24,15:17:36 | INFO | Train Epoch: 9 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18505 (0.17599) Loss: 0.18505 (0.17599)
2025-08-24,15:18:46 | INFO | Train Epoch: 9 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16925 (0.17597) Loss: 0.16925 (0.17597)
2025-08-24,15:19:56 | INFO | Train Epoch: 9 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19810 (0.17605) Loss: 0.19810 (0.17605)
2025-08-24,15:21:05 | INFO | Train Epoch: 9 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15405 (0.17597) Loss: 0.15405 (0.17597)
2025-08-24,15:22:15 | INFO | Train Epoch: 9 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14674 (0.17586) Loss: 0.14674 (0.17586)
2025-08-24,15:23:25 | INFO | Train Epoch: 9 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17118 (0.17584) Loss: 0.17118 (0.17584)
2025-08-24,15:24:35 | INFO | Train Epoch: 9 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15345 (0.17576) Loss: 0.15345 (0.17576)
2025-08-24,15:25:45 | INFO | Train Epoch: 9 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18614 (0.17580) Loss: 0.18614 (0.17580)
2025-08-24,15:26:54 | INFO | Train Epoch: 9 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16941 (0.17577) Loss: 0.16941 (0.17577)
2025-08-24,15:28:04 | INFO | Train Epoch: 9 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16806 (0.17575) Loss: 0.16806 (0.17575)
2025-08-24,15:29:14 | INFO | Train Epoch: 9 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15655 (0.17568) Loss: 0.15655 (0.17568)
2025-08-24,15:30:24 | INFO | Train Epoch: 9 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16696 (0.17565) Loss: 0.16696 (0.17565)
2025-08-24,15:31:34 | INFO | Train Epoch: 9 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13618 (0.17550) Loss: 0.13618 (0.17550)
2025-08-24,15:32:44 | INFO | Train Epoch: 9 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17496 (0.17550) Loss: 0.17496 (0.17550)
2025-08-24,15:33:54 | INFO | Train Epoch: 9 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15954 (0.17544) Loss: 0.15954 (0.17544)
2025-08-24,15:35:04 | INFO | Train Epoch: 9 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20773 (0.17556) Loss: 0.20773 (0.17556)
2025-08-24,15:36:13 | INFO | Train Epoch: 9 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21077 (0.17568) Loss: 0.21077 (0.17568)
2025-08-24,15:37:23 | INFO | Train Epoch: 9 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15590 (0.17561) Loss: 0.15590 (0.17561)
2025-08-24,15:38:33 | INFO | Train Epoch: 9 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16154 (0.17556) Loss: 0.16154 (0.17556)
2025-08-24,15:39:43 | INFO | Train Epoch: 9 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20286 (0.17566) Loss: 0.20286 (0.17566)
2025-08-24,15:40:53 | INFO | Train Epoch: 9 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18226 (0.17568) Loss: 0.18226 (0.17568)
2025-08-24,15:42:02 | INFO | Train Epoch: 9 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15167 (0.17560) Loss: 0.15167 (0.17560)
2025-08-24,15:43:12 | INFO | Train Epoch: 9 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20174 (0.17569) Loss: 0.20174 (0.17569)
2025-08-24,15:44:22 | INFO | Train Epoch: 9 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21599 (0.17583) Loss: 0.21599 (0.17583)
2025-08-24,15:45:32 | INFO | Train Epoch: 9 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15695 (0.17577) Loss: 0.15695 (0.17577)
2025-08-24,15:46:42 | INFO | Train Epoch: 9 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15880 (0.17571) Loss: 0.15880 (0.17571)
2025-08-24,15:47:52 | INFO | Train Epoch: 9 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17281 (0.17570) Loss: 0.17281 (0.17570)
2025-08-24,15:49:01 | INFO | Train Epoch: 9 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13645 (0.17556) Loss: 0.13645 (0.17556)
2025-08-24,15:50:11 | INFO | Train Epoch: 9 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15377 (0.17549) Loss: 0.15377 (0.17549)
2025-08-24,15:51:21 | INFO | Train Epoch: 9 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20123 (0.17558) Loss: 0.20123 (0.17558)
2025-08-24,15:52:31 | INFO | Train Epoch: 9 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15624 (0.17551) Loss: 0.15624 (0.17551)
2025-08-24,15:53:40 | INFO | Train Epoch: 9 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17197 (0.17550) Loss: 0.17197 (0.17550)
2025-08-24,15:54:50 | INFO | Train Epoch: 9 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19517 (0.17556) Loss: 0.19517 (0.17556)
2025-08-24,15:56:00 | INFO | Train Epoch: 9 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14080 (0.17545) Loss: 0.14080 (0.17545)
2025-08-24,15:57:10 | INFO | Train Epoch: 9 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13595 (0.17532) Loss: 0.13595 (0.17532)
2025-08-24,15:58:20 | INFO | Train Epoch: 9 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18132 (0.17534) Loss: 0.18132 (0.17534)
2025-08-24,15:59:29 | INFO | Train Epoch: 9 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18653 (0.17537) Loss: 0.18653 (0.17537)
2025-08-24,16:00:39 | INFO | Train Epoch: 9 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12032 (0.17519) Loss: 0.12032 (0.17519)
2025-08-24,16:01:49 | INFO | Train Epoch: 9 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17596 (0.17519) Loss: 0.17596 (0.17519)
2025-08-24,16:02:59 | INFO | Train Epoch: 9 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19429 (0.17526) Loss: 0.19429 (0.17526)
2025-08-24,16:04:09 | INFO | Train Epoch: 9 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20280 (0.17535) Loss: 0.20280 (0.17535)
2025-08-24,16:05:18 | INFO | Train Epoch: 9 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13158 (0.17520) Loss: 0.13158 (0.17520)
2025-08-24,16:06:28 | INFO | Train Epoch: 9 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16384 (0.17517) Loss: 0.16384 (0.17517)
2025-08-24,16:07:38 | INFO | Train Epoch: 9 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15303 (0.17510) Loss: 0.15303 (0.17510)
2025-08-24,16:08:48 | INFO | Train Epoch: 9 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19616 (0.17516) Loss: 0.19616 (0.17516)
2025-08-24,16:09:58 | INFO | Train Epoch: 9 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17306 (0.17516) Loss: 0.17306 (0.17516)
2025-08-24,16:11:08 | INFO | Train Epoch: 9 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17445 (0.17516) Loss: 0.17445 (0.17516)
2025-08-24,16:12:17 | INFO | Train Epoch: 9 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17249 (0.17515) Loss: 0.17249 (0.17515)
2025-08-24,16:13:27 | INFO | Train Epoch: 9 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19367 (0.17521) Loss: 0.19367 (0.17521)
2025-08-24,16:14:37 | INFO | Train Epoch: 9 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18321 (0.17523) Loss: 0.18321 (0.17523)
2025-08-24,16:15:47 | INFO | Train Epoch: 9 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16655 (0.17520) Loss: 0.16655 (0.17520)
2025-08-24,16:16:56 | INFO | Train Epoch: 9 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16770 (0.17518) Loss: 0.16770 (0.17518)
2025-08-24,16:18:06 | INFO | Train Epoch: 9 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13600 (0.17506) Loss: 0.13600 (0.17506)
2025-08-24,16:19:16 | INFO | Train Epoch: 9 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19283 (0.17511) Loss: 0.19283 (0.17511)
2025-08-24,16:20:26 | INFO | Train Epoch: 9 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17777 (0.17512) Loss: 0.17777 (0.17512)
2025-08-24,16:21:36 | INFO | Train Epoch: 9 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23515 (0.17531) Loss: 0.23515 (0.17531)
2025-08-24,16:22:45 | INFO | Train Epoch: 9 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21713 (0.17544) Loss: 0.21713 (0.17544)
2025-08-24,16:23:55 | INFO | Train Epoch: 9 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20117 (0.17552) Loss: 0.20117 (0.17552)
2025-08-24,16:25:05 | INFO | Train Epoch: 9 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19118 (0.17557) Loss: 0.19118 (0.17557)
2025-08-24,16:26:15 | INFO | Train Epoch: 9 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21486 (0.17569) Loss: 0.21486 (0.17569)
2025-08-24,16:27:25 | INFO | Train Epoch: 9 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17081 (0.17567) Loss: 0.17081 (0.17567)
2025-08-24,16:28:34 | INFO | Train Epoch: 9 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13273 (0.17554) Loss: 0.13273 (0.17554)
2025-08-24,16:29:44 | INFO | Train Epoch: 9 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17592 (0.17554) Loss: 0.17592 (0.17554)
2025-08-24,16:30:54 | INFO | Train Epoch: 9 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17719 (0.17555) Loss: 0.17719 (0.17555)
2025-08-24,16:32:04 | INFO | Train Epoch: 9 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13746 (0.17543) Loss: 0.13746 (0.17543)
2025-08-24,16:33:13 | INFO | Train Epoch: 9 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15888 (0.17538) Loss: 0.15888 (0.17538)
2025-08-24,16:34:23 | INFO | Train Epoch: 9 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12498 (0.17523) Loss: 0.12498 (0.17523)
2025-08-24,16:35:33 | INFO | Train Epoch: 9 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16833 (0.17521) Loss: 0.16833 (0.17521)
2025-08-24,16:36:43 | INFO | Train Epoch: 9 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20623 (0.17530) Loss: 0.20623 (0.17530)
2025-08-24,16:37:53 | INFO | Train Epoch: 9 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17327 (0.17530) Loss: 0.17327 (0.17530)
2025-08-24,16:39:02 | INFO | Train Epoch: 9 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15050 (0.17522) Loss: 0.15050 (0.17522)
2025-08-24,16:40:12 | INFO | Train Epoch: 9 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13056 (0.17509) Loss: 0.13056 (0.17509)
2025-08-24,16:41:22 | INFO | Train Epoch: 9 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21671 (0.17521) Loss: 0.21671 (0.17521)
2025-08-24,16:42:32 | INFO | Train Epoch: 9 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18167 (0.17523) Loss: 0.18167 (0.17523)
2025-08-24,16:43:41 | INFO | Train Epoch: 9 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19617 (0.17529) Loss: 0.19617 (0.17529)
2025-08-24,16:44:51 | INFO | Train Epoch: 9 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15282 (0.17523) Loss: 0.15282 (0.17523)
2025-08-24,16:46:01 | INFO | Train Epoch: 9 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14268 (0.17513) Loss: 0.14268 (0.17513)
2025-08-24,16:47:10 | INFO | Train Epoch: 9 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18779 (0.17517) Loss: 0.18779 (0.17517)
2025-08-24,16:48:20 | INFO | Train Epoch: 9 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17781 (0.17518) Loss: 0.17781 (0.17518)
2025-08-24,16:49:30 | INFO | Train Epoch: 9 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15294 (0.17511) Loss: 0.15294 (0.17511)
2025-08-24,16:50:40 | INFO | Train Epoch: 9 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16516 (0.17508) Loss: 0.16516 (0.17508)
2025-08-24,16:51:50 | INFO | Train Epoch: 9 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21259 (0.17519) Loss: 0.21259 (0.17519)
2025-08-24,16:53:00 | INFO | Train Epoch: 9 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15778 (0.17514) Loss: 0.15778 (0.17514)
2025-08-24,16:54:09 | INFO | Train Epoch: 9 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20050 (0.17521) Loss: 0.20050 (0.17521)
2025-08-24,16:55:19 | INFO | Train Epoch: 9 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16034 (0.17517) Loss: 0.16034 (0.17517)
2025-08-24,16:56:29 | INFO | Train Epoch: 9 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17841 (0.17518) Loss: 0.17841 (0.17518)
2025-08-24,16:57:39 | INFO | Train Epoch: 9 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20373 (0.17526) Loss: 0.20373 (0.17526)
2025-08-24,16:58:49 | INFO | Train Epoch: 9 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12183 (0.17511) Loss: 0.12183 (0.17511)
2025-08-24,16:59:59 | INFO | Train Epoch: 9 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18683 (0.17514) Loss: 0.18683 (0.17514)
2025-08-24,17:01:09 | INFO | Train Epoch: 9 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16222 (0.17511) Loss: 0.16222 (0.17511)
2025-08-24,17:02:19 | INFO | Train Epoch: 9 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19436 (0.17516) Loss: 0.19436 (0.17516)
2025-08-24,17:03:28 | INFO | Train Epoch: 9 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14094 (0.17507) Loss: 0.14094 (0.17507)
2025-08-24,17:04:38 | INFO | Train Epoch: 9 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15734 (0.17502) Loss: 0.15734 (0.17502)
2025-08-24,17:05:48 | INFO | Train Epoch: 9 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15299 (0.17495) Loss: 0.15299 (0.17495)
2025-08-24,17:06:57 | INFO | Train Epoch: 9 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14311 (0.17487) Loss: 0.14311 (0.17487)
2025-08-24,17:08:07 | INFO | Train Epoch: 9 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15585 (0.17481) Loss: 0.15585 (0.17481)
2025-08-24,17:09:17 | INFO | Train Epoch: 9 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19681 (0.17487) Loss: 0.19681 (0.17487)
2025-08-24,17:10:27 | INFO | Train Epoch: 9 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18600 (0.17490) Loss: 0.18600 (0.17490)
2025-08-24,17:11:36 | INFO | Train Epoch: 9 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14498 (0.17482) Loss: 0.14498 (0.17482)
2025-08-24,17:12:46 | INFO | Train Epoch: 9 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18182 (0.17484) Loss: 0.18182 (0.17484)
2025-08-24,17:13:56 | INFO | Train Epoch: 9 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18589 (0.17487) Loss: 0.18589 (0.17487)
2025-08-24,17:15:06 | INFO | Train Epoch: 9 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23475 (0.17503) Loss: 0.23475 (0.17503)
2025-08-24,17:16:15 | INFO | Train Epoch: 9 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17775 (0.17504) Loss: 0.17775 (0.17504)
2025-08-24,17:17:25 | INFO | Train Epoch: 9 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23409 (0.17520) Loss: 0.23409 (0.17520)
2025-08-24,17:18:35 | INFO | Train Epoch: 9 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16451 (0.17517) Loss: 0.16451 (0.17517)
2025-08-24,17:19:45 | INFO | Train Epoch: 9 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20608 (0.17526) Loss: 0.20608 (0.17526)
2025-08-24,17:20:55 | INFO | Train Epoch: 9 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17057 (0.17524) Loss: 0.17057 (0.17524)
2025-08-24,17:22:05 | INFO | Train Epoch: 9 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20898 (0.17533) Loss: 0.20898 (0.17533)
2025-08-24,17:23:14 | INFO | Train Epoch: 9 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14381 (0.17525) Loss: 0.14381 (0.17525)
2025-08-24,17:24:24 | INFO | Train Epoch: 9 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12788 (0.17512) Loss: 0.12788 (0.17512)
2025-08-24,17:25:34 | INFO | Train Epoch: 9 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12752 (0.17500) Loss: 0.12752 (0.17500)
2025-08-24,17:26:44 | INFO | Train Epoch: 9 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21930 (0.17511) Loss: 0.21930 (0.17511)
2025-08-24,17:27:54 | INFO | Train Epoch: 9 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20734 (0.17520) Loss: 0.20734 (0.17520)
2025-08-24,17:29:03 | INFO | Train Epoch: 9 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19416 (0.17525) Loss: 0.19416 (0.17525)
2025-08-24,17:30:13 | INFO | Train Epoch: 9 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17402 (0.17525) Loss: 0.17402 (0.17525)
2025-08-24,17:31:23 | INFO | Train Epoch: 9 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16762 (0.17523) Loss: 0.16762 (0.17523)
2025-08-24,17:32:33 | INFO | Train Epoch: 9 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16833 (0.17521) Loss: 0.16833 (0.17521)
2025-08-24,17:33:43 | INFO | Train Epoch: 9 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15114 (0.17515) Loss: 0.15114 (0.17515)
2025-08-24,17:34:53 | INFO | Train Epoch: 9 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15010 (0.17508) Loss: 0.15010 (0.17508)
2025-08-24,17:36:03 | INFO | Train Epoch: 9 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15770 (0.17504) Loss: 0.15770 (0.17504)
2025-08-24,17:37:12 | INFO | Train Epoch: 9 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19653 (0.17509) Loss: 0.19653 (0.17509)
2025-08-24,17:38:22 | INFO | Train Epoch: 9 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10396 (0.17491) Loss: 0.10396 (0.17491)
2025-08-24,17:39:32 | INFO | Train Epoch: 9 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15171 (0.17485) Loss: 0.15171 (0.17485)
2025-08-24,17:40:42 | INFO | Train Epoch: 9 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11755 (0.17470) Loss: 0.11755 (0.17470)
2025-08-24,17:41:52 | INFO | Train Epoch: 9 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17316 (0.17470) Loss: 0.17316 (0.17470)
2025-08-24,17:43:01 | INFO | Train Epoch: 9 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13276 (0.17459) Loss: 0.13276 (0.17459)
2025-08-24,17:44:11 | INFO | Train Epoch: 9 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12572 (0.17446) Loss: 0.12572 (0.17446)
2025-08-24,17:45:21 | INFO | Train Epoch: 9 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18283 (0.17449) Loss: 0.18283 (0.17449)
2025-08-24,17:46:31 | INFO | Train Epoch: 9 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16965 (0.17447) Loss: 0.16965 (0.17447)
2025-08-24,17:47:41 | INFO | Train Epoch: 9 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16124 (0.17444) Loss: 0.16124 (0.17444)
2025-08-24,17:48:50 | INFO | Train Epoch: 9 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16495 (0.17442) Loss: 0.16495 (0.17442)
2025-08-24,17:50:00 | INFO | Train Epoch: 9 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12748 (0.17430) Loss: 0.12748 (0.17430)
2025-08-24,17:51:10 | INFO | Train Epoch: 9 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22595 (0.17443) Loss: 0.22595 (0.17443)
2025-08-24,17:52:20 | INFO | Train Epoch: 9 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.24093 (0.17459) Loss: 0.24093 (0.17459)
2025-08-24,17:53:30 | INFO | Train Epoch: 9 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17061 (0.17458) Loss: 0.17061 (0.17458)
2025-08-24,17:54:40 | INFO | Train Epoch: 9 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19684 (0.17464) Loss: 0.19684 (0.17464)
2025-08-24,17:55:49 | INFO | Train Epoch: 9 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15404 (0.17459) Loss: 0.15404 (0.17459)
2025-08-24,17:56:59 | INFO | Train Epoch: 9 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19069 (0.17463) Loss: 0.19069 (0.17463)
2025-08-24,17:58:09 | INFO | Train Epoch: 9 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13159 (0.17452) Loss: 0.13159 (0.17452)
2025-08-24,17:59:19 | INFO | Train Epoch: 9 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17625 (0.17453) Loss: 0.17625 (0.17453)
2025-08-24,18:00:29 | INFO | Train Epoch: 9 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16330 (0.17450) Loss: 0.16330 (0.17450)
2025-08-24,18:01:38 | INFO | Train Epoch: 9 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17179 (0.17449) Loss: 0.17179 (0.17449)
2025-08-24,18:02:48 | INFO | Train Epoch: 9 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20990 (0.17458) Loss: 0.20990 (0.17458)
2025-08-24,18:03:58 | INFO | Train Epoch: 9 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19607 (0.17463) Loss: 0.19607 (0.17463)
2025-08-24,18:05:08 | INFO | Train Epoch: 9 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19392 (0.17468) Loss: 0.19392 (0.17468)
2025-08-24,18:06:18 | INFO | Train Epoch: 9 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20241 (0.17475) Loss: 0.20241 (0.17475)
2025-08-24,18:07:28 | INFO | Train Epoch: 9 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19023 (0.17478) Loss: 0.19023 (0.17478)
2025-08-24,18:08:37 | INFO | Train Epoch: 9 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16638 (0.17476) Loss: 0.16638 (0.17476)
2025-08-24,18:09:47 | INFO | Train Epoch: 9 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18242 (0.17478) Loss: 0.18242 (0.17478)
2025-08-24,18:10:57 | INFO | Train Epoch: 9 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19328 (0.17483) Loss: 0.19328 (0.17483)
2025-08-24,18:12:07 | INFO | Train Epoch: 9 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19831 (0.17488) Loss: 0.19831 (0.17488)
2025-08-24,18:13:17 | INFO | Train Epoch: 9 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15131 (0.17483) Loss: 0.15131 (0.17483)
2025-08-24,18:14:26 | INFO | Train Epoch: 9 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19762 (0.17488) Loss: 0.19762 (0.17488)
2025-08-24,18:15:36 | INFO | Train Epoch: 9 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18381 (0.17490) Loss: 0.18381 (0.17490)
2025-08-24,18:16:46 | INFO | Train Epoch: 9 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17259 (0.17490) Loss: 0.17259 (0.17490)
2025-08-24,18:17:56 | INFO | Train Epoch: 9 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19224 (0.17494) Loss: 0.19224 (0.17494)
2025-08-24,18:19:06 | INFO | Train Epoch: 9 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13887 (0.17485) Loss: 0.13887 (0.17485)
2025-08-24,18:20:16 | INFO | Train Epoch: 9 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17625 (0.17486) Loss: 0.17625 (0.17486)
2025-08-24,18:21:25 | INFO | Train Epoch: 9 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15330 (0.17480) Loss: 0.15330 (0.17480)
2025-08-24,18:22:35 | INFO | Train Epoch: 9 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17353 (0.17480) Loss: 0.17353 (0.17480)
2025-08-24,18:23:45 | INFO | Train Epoch: 9 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22001 (0.17491) Loss: 0.22001 (0.17491)
2025-08-24,18:24:55 | INFO | Train Epoch: 9 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16019 (0.17487) Loss: 0.16019 (0.17487)
2025-08-24,18:26:04 | INFO | Train Epoch: 9 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14531 (0.17480) Loss: 0.14531 (0.17480)
2025-08-24,18:27:14 | INFO | Train Epoch: 9 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20087 (0.17486) Loss: 0.20087 (0.17486)
2025-08-24,18:28:24 | INFO | Train Epoch: 9 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15883 (0.17483) Loss: 0.15883 (0.17483)
2025-08-24,18:29:34 | INFO | Train Epoch: 9 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15928 (0.17479) Loss: 0.15928 (0.17479)
2025-08-24,18:30:44 | INFO | Train Epoch: 9 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17418 (0.17479) Loss: 0.17418 (0.17479)
2025-08-24,18:31:54 | INFO | Train Epoch: 9 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13720 (0.17470) Loss: 0.13720 (0.17470)
2025-08-24,18:33:03 | INFO | Train Epoch: 9 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21718 (0.17480) Loss: 0.21718 (0.17480)
2025-08-24,18:34:13 | INFO | Train Epoch: 9 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19471 (0.17485) Loss: 0.19471 (0.17485)
2025-08-24,18:35:23 | INFO | Train Epoch: 9 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16688 (0.17483) Loss: 0.16688 (0.17483)
2025-08-24,18:36:33 | INFO | Train Epoch: 9 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12243 (0.17471) Loss: 0.12243 (0.17471)
2025-08-24,18:37:43 | INFO | Train Epoch: 9 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18908 (0.17474) Loss: 0.18908 (0.17474)
2025-08-24,18:38:53 | INFO | Train Epoch: 9 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19090 (0.17478) Loss: 0.19090 (0.17478)
2025-08-24,18:40:03 | INFO | Train Epoch: 9 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12640 (0.17467) Loss: 0.12640 (0.17467)
2025-08-24,18:41:12 | INFO | Train Epoch: 9 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16365 (0.17464) Loss: 0.16365 (0.17464)
2025-08-24,18:42:22 | INFO | Train Epoch: 9 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13441 (0.17455) Loss: 0.13441 (0.17455)
2025-08-24,18:43:32 | INFO | Train Epoch: 9 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18659 (0.17458) Loss: 0.18659 (0.17458)
2025-08-24,18:44:42 | INFO | Train Epoch: 9 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13560 (0.17449) Loss: 0.13560 (0.17449)
2025-08-24,18:45:51 | INFO | Train Epoch: 9 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21599 (0.17459) Loss: 0.21599 (0.17459)
2025-08-24,18:47:01 | INFO | Train Epoch: 9 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12127 (0.17447) Loss: 0.12127 (0.17447)
2025-08-24,18:48:11 | INFO | Train Epoch: 9 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17506 (0.17447) Loss: 0.17506 (0.17447)
2025-08-24,18:49:21 | INFO | Train Epoch: 9 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15699 (0.17443) Loss: 0.15699 (0.17443)
2025-08-24,18:50:30 | INFO | Train Epoch: 9 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19767 (0.17448) Loss: 0.19767 (0.17448)
2025-08-24,18:51:40 | INFO | Train Epoch: 9 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19498 (0.17453) Loss: 0.19498 (0.17453)
2025-08-24,18:52:50 | INFO | Train Epoch: 9 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15266 (0.17448) Loss: 0.15266 (0.17448)
2025-08-24,18:54:00 | INFO | Train Epoch: 9 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12653 (0.17437) Loss: 0.12653 (0.17437)
2025-08-24,18:55:10 | INFO | Train Epoch: 9 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19161 (0.17441) Loss: 0.19161 (0.17441)
2025-08-24,18:56:20 | INFO | Train Epoch: 9 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17214 (0.17440) Loss: 0.17214 (0.17440)
2025-08-24,18:57:30 | INFO | Train Epoch: 9 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14244 (0.17433) Loss: 0.14244 (0.17433)
2025-08-24,18:58:39 | INFO | Train Epoch: 9 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15623 (0.17429) Loss: 0.15623 (0.17429)
2025-08-24,18:59:49 | INFO | Train Epoch: 9 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11550 (0.17417) Loss: 0.11550 (0.17417)
2025-08-24,19:00:59 | INFO | Train Epoch: 9 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16885 (0.17415) Loss: 0.16885 (0.17415)
2025-08-24,19:02:09 | INFO | Train Epoch: 9 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19362 (0.17420) Loss: 0.19362 (0.17420)
2025-08-24,19:03:18 | INFO | Train Epoch: 9 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14554 (0.17413) Loss: 0.14554 (0.17413)
2025-08-24,19:04:28 | INFO | Train Epoch: 9 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19460 (0.17418) Loss: 0.19460 (0.17418)
2025-08-24,19:05:38 | INFO | Train Epoch: 9 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19235 (0.17422) Loss: 0.19235 (0.17422)
2025-08-24,19:06:48 | INFO | Train Epoch: 9 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12602 (0.17411) Loss: 0.12602 (0.17411)
2025-08-24,19:07:58 | INFO | Train Epoch: 9 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11904 (0.17399) Loss: 0.11904 (0.17399)
2025-08-24,19:09:07 | INFO | Train Epoch: 9 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14989 (0.17394) Loss: 0.14989 (0.17394)
2025-08-24,19:10:17 | INFO | Train Epoch: 9 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19051 (0.17398) Loss: 0.19051 (0.17398)
2025-08-24,19:11:27 | INFO | Train Epoch: 9 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12619 (0.17388) Loss: 0.12619 (0.17388)
2025-08-24,19:12:37 | INFO | Train Epoch: 9 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16031 (0.17385) Loss: 0.16031 (0.17385)
2025-08-24,19:13:47 | INFO | Train Epoch: 9 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20583 (0.17392) Loss: 0.20583 (0.17392)
2025-08-24,19:14:56 | INFO | Train Epoch: 9 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21697 (0.17401) Loss: 0.21697 (0.17401)
2025-08-24,19:16:06 | INFO | Train Epoch: 9 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16165 (0.17398) Loss: 0.16165 (0.17398)
2025-08-24,19:17:16 | INFO | Train Epoch: 9 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20873 (0.17405) Loss: 0.20873 (0.17405)
2025-08-24,19:18:26 | INFO | Train Epoch: 9 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17010 (0.17405) Loss: 0.17010 (0.17405)
2025-08-24,19:19:36 | INFO | Train Epoch: 9 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19359 (0.17409) Loss: 0.19359 (0.17409)
2025-08-24,19:20:45 | INFO | Train Epoch: 9 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.22325 (0.17419) Loss: 0.22325 (0.17419)
2025-08-24,19:21:55 | INFO | Train Epoch: 9 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17391 (0.17419) Loss: 0.17391 (0.17419)
2025-08-24,19:23:05 | INFO | Train Epoch: 9 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16680 (0.17417) Loss: 0.16680 (0.17417)
2025-08-24,19:24:15 | INFO | Train Epoch: 9 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20537 (0.17424) Loss: 0.20537 (0.17424)
2025-08-24,19:25:25 | INFO | Train Epoch: 9 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21494 (0.17432) Loss: 0.21494 (0.17432)
2025-08-24,19:26:35 | INFO | Train Epoch: 9 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15669 (0.17429) Loss: 0.15669 (0.17429)
2025-08-24,19:27:44 | INFO | Train Epoch: 9 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17485 (0.17429) Loss: 0.17485 (0.17429)
2025-08-24,19:28:54 | INFO | Train Epoch: 9 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14581 (0.17423) Loss: 0.14581 (0.17423)
2025-08-24,19:30:04 | INFO | Train Epoch: 9 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.21450 (0.17431) Loss: 0.21450 (0.17431)
2025-08-24,19:31:14 | INFO | Train Epoch: 9 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.23838 (0.17445) Loss: 0.23838 (0.17445)
2025-08-24,19:32:24 | INFO | Train Epoch: 9 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14122 (0.17438) Loss: 0.14122 (0.17438)
2025-08-24,19:33:34 | INFO | Train Epoch: 9 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16957 (0.17437) Loss: 0.16957 (0.17437)
2025-08-24,19:34:44 | INFO | Train Epoch: 9 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14525 (0.17431) Loss: 0.14525 (0.17431)
2025-08-24,19:35:53 | INFO | Train Epoch: 9 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17034 (0.17430) Loss: 0.17034 (0.17430)
2025-08-24,19:37:03 | INFO | Train Epoch: 9 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14617 (0.17424) Loss: 0.14617 (0.17424)
2025-08-24,19:38:13 | INFO | Train Epoch: 9 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19277 (0.17428) Loss: 0.19277 (0.17428)
2025-08-24,19:39:23 | INFO | Train Epoch: 9 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18438 (0.17430) Loss: 0.18438 (0.17430)
2025-08-24,19:40:33 | INFO | Train Epoch: 9 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10974 (0.17417) Loss: 0.10974 (0.17417)
2025-08-24,19:41:43 | INFO | Train Epoch: 9 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15936 (0.17414) Loss: 0.15936 (0.17414)
2025-08-24,19:42:53 | INFO | Train Epoch: 9 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15321 (0.17410) Loss: 0.15321 (0.17410)
2025-08-24,19:44:02 | INFO | Train Epoch: 9 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19241 (0.17413) Loss: 0.19241 (0.17413)
2025-08-24,19:45:12 | INFO | Train Epoch: 9 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16881 (0.17412) Loss: 0.16881 (0.17412)
2025-08-24,19:46:22 | INFO | Train Epoch: 9 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14858 (0.17407) Loss: 0.14858 (0.17407)
2025-08-24,19:47:32 | INFO | Train Epoch: 9 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19762 (0.17412) Loss: 0.19762 (0.17412)
2025-08-24,19:48:42 | INFO | Train Epoch: 9 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20377 (0.17418) Loss: 0.20377 (0.17418)
2025-08-24,19:49:52 | INFO | Train Epoch: 9 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15440 (0.17414) Loss: 0.15440 (0.17414)
2025-08-24,19:51:02 | INFO | Train Epoch: 9 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20909 (0.17421) Loss: 0.20909 (0.17421)
2025-08-24,19:52:11 | INFO | Train Epoch: 9 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16234 (0.17418) Loss: 0.16234 (0.17418)
2025-08-24,19:53:21 | INFO | Train Epoch: 9 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14685 (0.17413) Loss: 0.14685 (0.17413)
2025-08-24,19:54:31 | INFO | Train Epoch: 9 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17716 (0.17414) Loss: 0.17716 (0.17414)
2025-08-24,19:55:41 | INFO | Train Epoch: 9 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17634 (0.17414) Loss: 0.17634 (0.17414)
2025-08-24,19:56:51 | INFO | Train Epoch: 9 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19175 (0.17418) Loss: 0.19175 (0.17418)
2025-08-24,19:58:01 | INFO | Train Epoch: 9 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18177 (0.17419) Loss: 0.18177 (0.17419)
2025-08-24,19:59:11 | INFO | Train Epoch: 9 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14889 (0.17414) Loss: 0.14889 (0.17414)
2025-08-24,20:00:20 | INFO | Train Epoch: 9 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17318 (0.17414) Loss: 0.17318 (0.17414)
2025-08-24,20:01:30 | INFO | Train Epoch: 9 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10183 (0.17400) Loss: 0.10183 (0.17400)
2025-08-24,20:02:40 | INFO | Train Epoch: 9 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12126 (0.17389) Loss: 0.12126 (0.17389)
2025-08-24,20:03:50 | INFO | Train Epoch: 9 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20833 (0.17396) Loss: 0.20833 (0.17396)
2025-08-24,20:04:59 | INFO | Train Epoch: 9 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15310 (0.17392) Loss: 0.15310 (0.17392)
2025-08-24,20:06:09 | INFO | Train Epoch: 9 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14388 (0.17386) Loss: 0.14388 (0.17386)
2025-08-24,20:07:19 | INFO | Train Epoch: 9 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14140 (0.17380) Loss: 0.14140 (0.17380)
2025-08-24,20:08:25 | INFO | Train Epoch: 9 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14502 (0.17374) Loss: 0.14502 (0.17374)
2025-08-24,20:08:25 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-24,20:08:25 | INFO | [Epoch 9] Average Step Time: 0.701s | Average GPU Memory: 43.4 GB
2025-08-24,20:08:25 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-24,20:08:26 | INFO | Starting zero-shot imagenet.
2025-08-24,20:08:26 | INFO | Building zero-shot classifier
2025-08-24,20:08:35 | INFO | Using classifier
2025-08-24,20:09:21 | INFO | Finished zero-shot imagenet.
2025-08-24,20:09:21 | INFO | Eval Epoch: 10 imagenet-zeroshot-val-top1: 0.3095	imagenet-zeroshot-val-top5: 0.5769
2025-08-24,20:09:22 | INFO | Start epoch 10
2025-08-24,20:09:24 | INFO | Train Epoch: 10 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10737 (0.10737) Loss: 0.10737 (0.10737)
2025-08-24,20:10:34 | INFO | Train Epoch: 10 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12903 (0.11820) Loss: 0.12903 (0.11820)
2025-08-24,20:11:43 | INFO | Train Epoch: 10 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12403 (0.12014) Loss: 0.12403 (0.12014)
2025-08-24,20:12:53 | INFO | Train Epoch: 10 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13064 (0.12277) Loss: 0.13064 (0.12277)
2025-08-24,20:14:03 | INFO | Train Epoch: 10 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15403 (0.12902) Loss: 0.15403 (0.12902)
2025-08-24,20:15:12 | INFO | Train Epoch: 10 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11515 (0.12671) Loss: 0.11515 (0.12671)
2025-08-24,20:16:22 | INFO | Train Epoch: 10 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10358 (0.12340) Loss: 0.10358 (0.12340)
2025-08-24,20:17:32 | INFO | Train Epoch: 10 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15375 (0.12720) Loss: 0.15375 (0.12720)
2025-08-24,20:18:41 | INFO | Train Epoch: 10 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17046 (0.13200) Loss: 0.17046 (0.13200)
2025-08-24,20:19:51 | INFO | Train Epoch: 10 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15536 (0.13434) Loss: 0.15536 (0.13434)
2025-08-24,20:21:00 | INFO | Train Epoch: 10 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11678 (0.13274) Loss: 0.11678 (0.13274)
2025-08-24,20:22:10 | INFO | Train Epoch: 10 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12437 (0.13205) Loss: 0.12437 (0.13205)
2025-08-24,20:23:20 | INFO | Train Epoch: 10 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13424 (0.13221) Loss: 0.13424 (0.13221)
2025-08-24,20:24:29 | INFO | Train Epoch: 10 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13292 (0.13226) Loss: 0.13292 (0.13226)
2025-08-24,20:25:39 | INFO | Train Epoch: 10 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13518 (0.13246) Loss: 0.13518 (0.13246)
2025-08-24,20:26:49 | INFO | Train Epoch: 10 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14900 (0.13349) Loss: 0.14900 (0.13349)
2025-08-24,20:27:58 | INFO | Train Epoch: 10 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13059 (0.13332) Loss: 0.13059 (0.13332)
2025-08-24,20:29:08 | INFO | Train Epoch: 10 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15663 (0.13462) Loss: 0.15663 (0.13462)
2025-08-24,20:30:18 | INFO | Train Epoch: 10 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16383 (0.13615) Loss: 0.16383 (0.13615)
2025-08-24,20:31:27 | INFO | Train Epoch: 10 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13436 (0.13606) Loss: 0.13436 (0.13606)
2025-08-24,20:32:37 | INFO | Train Epoch: 10 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12534 (0.13555) Loss: 0.12534 (0.13555)
2025-08-24,20:33:47 | INFO | Train Epoch: 10 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14737 (0.13609) Loss: 0.14737 (0.13609)
2025-08-24,20:34:56 | INFO | Train Epoch: 10 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14963 (0.13668) Loss: 0.14963 (0.13668)
2025-08-24,20:36:06 | INFO | Train Epoch: 10 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13343 (0.13654) Loss: 0.13343 (0.13654)
2025-08-24,20:37:16 | INFO | Train Epoch: 10 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11597 (0.13572) Loss: 0.11597 (0.13572)
2025-08-24,20:38:25 | INFO | Train Epoch: 10 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14842 (0.13621) Loss: 0.14842 (0.13621)
2025-08-24,20:39:35 | INFO | Train Epoch: 10 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14464 (0.13652) Loss: 0.14464 (0.13652)
2025-08-24,20:40:45 | INFO | Train Epoch: 10 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16007 (0.13736) Loss: 0.16007 (0.13736)
2025-08-24,20:41:54 | INFO | Train Epoch: 10 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13838 (0.13740) Loss: 0.13838 (0.13740)
2025-08-24,20:43:04 | INFO | Train Epoch: 10 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098598 (0.13610) Loss: 0.098598 (0.13610)
2025-08-24,20:44:14 | INFO | Train Epoch: 10 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14485 (0.13639) Loss: 0.14485 (0.13639)
2025-08-24,20:45:24 | INFO | Train Epoch: 10 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15467 (0.13696) Loss: 0.15467 (0.13696)
2025-08-24,20:46:33 | INFO | Train Epoch: 10 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14748 (0.13728) Loss: 0.14748 (0.13728)
2025-08-24,20:47:43 | INFO | Train Epoch: 10 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17504 (0.13839) Loss: 0.17504 (0.13839)
2025-08-24,20:48:53 | INFO | Train Epoch: 10 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20127 (0.14018) Loss: 0.20127 (0.14018)
2025-08-24,20:50:02 | INFO | Train Epoch: 10 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17631 (0.14119) Loss: 0.17631 (0.14119)
2025-08-24,20:51:12 | INFO | Train Epoch: 10 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14076 (0.14118) Loss: 0.14076 (0.14118)
2025-08-24,20:52:22 | INFO | Train Epoch: 10 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15219 (0.14147) Loss: 0.15219 (0.14147)
2025-08-24,20:53:31 | INFO | Train Epoch: 10 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15031 (0.14169) Loss: 0.15031 (0.14169)
2025-08-24,20:54:41 | INFO | Train Epoch: 10 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19889 (0.14312) Loss: 0.19889 (0.14312)
2025-08-24,20:55:51 | INFO | Train Epoch: 10 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13471 (0.14292) Loss: 0.13471 (0.14292)
2025-08-24,20:57:00 | INFO | Train Epoch: 10 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16751 (0.14350) Loss: 0.16751 (0.14350)
2025-08-24,20:58:10 | INFO | Train Epoch: 10 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13910 (0.14340) Loss: 0.13910 (0.14340)
2025-08-24,20:59:20 | INFO | Train Epoch: 10 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14105 (0.14335) Loss: 0.14105 (0.14335)
2025-08-24,21:00:29 | INFO | Train Epoch: 10 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12982 (0.14305) Loss: 0.12982 (0.14305)
2025-08-24,21:01:39 | INFO | Train Epoch: 10 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16848 (0.14360) Loss: 0.16848 (0.14360)
2025-08-24,21:02:49 | INFO | Train Epoch: 10 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20705 (0.14495) Loss: 0.20705 (0.14495)
2025-08-24,21:03:59 | INFO | Train Epoch: 10 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097006 (0.14395) Loss: 0.097006 (0.14395)
2025-08-24,21:05:08 | INFO | Train Epoch: 10 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12961 (0.14366) Loss: 0.12961 (0.14366)
2025-08-24,21:06:18 | INFO | Train Epoch: 10 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15145 (0.14381) Loss: 0.15145 (0.14381)
2025-08-24,21:07:28 | INFO | Train Epoch: 10 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13625 (0.14366) Loss: 0.13625 (0.14366)
2025-08-24,21:08:38 | INFO | Train Epoch: 10 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097674 (0.14278) Loss: 0.097674 (0.14278)
2025-08-24,21:09:47 | INFO | Train Epoch: 10 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17097 (0.14331) Loss: 0.17097 (0.14331)
2025-08-24,21:10:57 | INFO | Train Epoch: 10 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17256 (0.14385) Loss: 0.17256 (0.14385)
2025-08-24,21:12:07 | INFO | Train Epoch: 10 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14160 (0.14381) Loss: 0.14160 (0.14381)
2025-08-24,21:13:17 | INFO | Train Epoch: 10 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10557 (0.14313) Loss: 0.10557 (0.14313)
2025-08-24,21:14:26 | INFO | Train Epoch: 10 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12450 (0.14280) Loss: 0.12450 (0.14280)
2025-08-24,21:15:36 | INFO | Train Epoch: 10 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15427 (0.14300) Loss: 0.15427 (0.14300)
2025-08-24,21:16:46 | INFO | Train Epoch: 10 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11004 (0.14244) Loss: 0.11004 (0.14244)
2025-08-24,21:17:56 | INFO | Train Epoch: 10 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12826 (0.14221) Loss: 0.12826 (0.14221)
2025-08-24,21:19:05 | INFO | Train Epoch: 10 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11074 (0.14169) Loss: 0.11074 (0.14169)
2025-08-24,21:20:15 | INFO | Train Epoch: 10 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12661 (0.14145) Loss: 0.12661 (0.14145)
2025-08-24,21:21:25 | INFO | Train Epoch: 10 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12487 (0.14118) Loss: 0.12487 (0.14118)
2025-08-24,21:22:34 | INFO | Train Epoch: 10 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15106 (0.14134) Loss: 0.15106 (0.14134)
2025-08-24,21:23:44 | INFO | Train Epoch: 10 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11262 (0.14090) Loss: 0.11262 (0.14090)
2025-08-24,21:24:54 | INFO | Train Epoch: 10 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17279 (0.14138) Loss: 0.17279 (0.14138)
2025-08-24,21:26:04 | INFO | Train Epoch: 10 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14527 (0.14144) Loss: 0.14527 (0.14144)
2025-08-24,21:27:14 | INFO | Train Epoch: 10 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14908 (0.14155) Loss: 0.14908 (0.14155)
2025-08-24,21:28:23 | INFO | Train Epoch: 10 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14751 (0.14164) Loss: 0.14751 (0.14164)
2025-08-24,21:29:33 | INFO | Train Epoch: 10 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11172 (0.14121) Loss: 0.11172 (0.14121)
2025-08-24,21:30:43 | INFO | Train Epoch: 10 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10001 (0.14063) Loss: 0.10001 (0.14063)
2025-08-24,21:31:53 | INFO | Train Epoch: 10 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11438 (0.14026) Loss: 0.11438 (0.14026)
2025-08-24,21:33:03 | INFO | Train Epoch: 10 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17657 (0.14076) Loss: 0.17657 (0.14076)
2025-08-24,21:34:13 | INFO | Train Epoch: 10 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11656 (0.14043) Loss: 0.11656 (0.14043)
2025-08-24,21:35:22 | INFO | Train Epoch: 10 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11266 (0.14006) Loss: 0.11266 (0.14006)
2025-08-24,21:36:32 | INFO | Train Epoch: 10 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10894 (0.13965) Loss: 0.10894 (0.13965)
2025-08-24,21:37:42 | INFO | Train Epoch: 10 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17336 (0.14009) Loss: 0.17336 (0.14009)
2025-08-24,21:38:52 | INFO | Train Epoch: 10 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12041 (0.13984) Loss: 0.12041 (0.13984)
2025-08-24,21:40:02 | INFO | Train Epoch: 10 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14112 (0.13986) Loss: 0.14112 (0.13986)
2025-08-24,21:41:12 | INFO | Train Epoch: 10 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12808 (0.13971) Loss: 0.12808 (0.13971)
2025-08-24,21:42:21 | INFO | Train Epoch: 10 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14753 (0.13981) Loss: 0.14753 (0.13981)
2025-08-24,21:43:31 | INFO | Train Epoch: 10 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13754 (0.13978) Loss: 0.13754 (0.13978)
2025-08-24,21:44:41 | INFO | Train Epoch: 10 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12362 (0.13958) Loss: 0.12362 (0.13958)
2025-08-24,21:45:51 | INFO | Train Epoch: 10 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13452 (0.13952) Loss: 0.13452 (0.13952)
2025-08-24,21:47:01 | INFO | Train Epoch: 10 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14294 (0.13956) Loss: 0.14294 (0.13956)
2025-08-24,21:48:11 | INFO | Train Epoch: 10 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13687 (0.13953) Loss: 0.13687 (0.13953)
2025-08-24,21:49:21 | INFO | Train Epoch: 10 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12835 (0.13940) Loss: 0.12835 (0.13940)
2025-08-24,21:50:31 | INFO | Train Epoch: 10 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12651 (0.13926) Loss: 0.12651 (0.13926)
2025-08-24,21:51:40 | INFO | Train Epoch: 10 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14208 (0.13929) Loss: 0.14208 (0.13929)
2025-08-24,21:52:50 | INFO | Train Epoch: 10 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14369 (0.13934) Loss: 0.14369 (0.13934)
2025-08-24,21:54:00 | INFO | Train Epoch: 10 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16496 (0.13962) Loss: 0.16496 (0.13962)
2025-08-24,21:55:10 | INFO | Train Epoch: 10 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17888 (0.14005) Loss: 0.17888 (0.14005)
2025-08-24,21:56:19 | INFO | Train Epoch: 10 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13273 (0.13997) Loss: 0.13273 (0.13997)
2025-08-24,21:57:29 | INFO | Train Epoch: 10 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14700 (0.14004) Loss: 0.14700 (0.14004)
2025-08-24,21:58:39 | INFO | Train Epoch: 10 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13784 (0.14002) Loss: 0.13784 (0.14002)
2025-08-24,21:59:49 | INFO | Train Epoch: 10 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12904 (0.13990) Loss: 0.12904 (0.13990)
2025-08-24,22:00:58 | INFO | Train Epoch: 10 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11368 (0.13963) Loss: 0.11368 (0.13963)
2025-08-24,22:02:08 | INFO | Train Epoch: 10 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11410 (0.13937) Loss: 0.11410 (0.13937)
2025-08-24,22:03:18 | INFO | Train Epoch: 10 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16335 (0.13962) Loss: 0.16335 (0.13962)
2025-08-24,22:04:28 | INFO | Train Epoch: 10 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16765 (0.13990) Loss: 0.16765 (0.13990)
2025-08-24,22:05:38 | INFO | Train Epoch: 10 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16033 (0.14010) Loss: 0.16033 (0.14010)
2025-08-24,22:06:47 | INFO | Train Epoch: 10 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13893 (0.14009) Loss: 0.13893 (0.14009)
2025-08-24,22:07:57 | INFO | Train Epoch: 10 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12601 (0.13995) Loss: 0.12601 (0.13995)
2025-08-24,22:09:07 | INFO | Train Epoch: 10 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10022 (0.13957) Loss: 0.10022 (0.13957)
2025-08-24,22:10:16 | INFO | Train Epoch: 10 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14326 (0.13960) Loss: 0.14326 (0.13960)
2025-08-24,22:11:26 | INFO | Train Epoch: 10 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089750 (0.13913) Loss: 0.089750 (0.13913)
2025-08-24,22:12:36 | INFO | Train Epoch: 10 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13653 (0.13911) Loss: 0.13653 (0.13911)
2025-08-24,22:13:46 | INFO | Train Epoch: 10 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17476 (0.13944) Loss: 0.17476 (0.13944)
2025-08-24,22:14:55 | INFO | Train Epoch: 10 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12344 (0.13929) Loss: 0.12344 (0.13929)
2025-08-24,22:16:05 | INFO | Train Epoch: 10 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13759 (0.13928) Loss: 0.13759 (0.13928)
2025-08-24,22:17:15 | INFO | Train Epoch: 10 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11506 (0.13906) Loss: 0.11506 (0.13906)
2025-08-24,22:18:25 | INFO | Train Epoch: 10 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19320 (0.13954) Loss: 0.19320 (0.13954)
2025-08-24,22:19:35 | INFO | Train Epoch: 10 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10150 (0.13921) Loss: 0.10150 (0.13921)
2025-08-24,22:20:45 | INFO | Train Epoch: 10 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10804 (0.13893) Loss: 0.10804 (0.13893)
2025-08-24,22:21:55 | INFO | Train Epoch: 10 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12814 (0.13884) Loss: 0.12814 (0.13884)
2025-08-24,22:23:04 | INFO | Train Epoch: 10 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13419 (0.13880) Loss: 0.13419 (0.13880)
2025-08-24,22:24:14 | INFO | Train Epoch: 10 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14422 (0.13884) Loss: 0.14422 (0.13884)
2025-08-24,22:25:24 | INFO | Train Epoch: 10 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10658 (0.13857) Loss: 0.10658 (0.13857)
2025-08-24,22:26:34 | INFO | Train Epoch: 10 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16142 (0.13876) Loss: 0.16142 (0.13876)
2025-08-24,22:27:44 | INFO | Train Epoch: 10 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12118 (0.13862) Loss: 0.12118 (0.13862)
2025-08-24,22:28:54 | INFO | Train Epoch: 10 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13319 (0.13857) Loss: 0.13319 (0.13857)
2025-08-24,22:30:03 | INFO | Train Epoch: 10 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11951 (0.13842) Loss: 0.11951 (0.13842)
2025-08-24,22:31:13 | INFO | Train Epoch: 10 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15717 (0.13857) Loss: 0.15717 (0.13857)
2025-08-24,22:32:23 | INFO | Train Epoch: 10 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15049 (0.13866) Loss: 0.15049 (0.13866)
2025-08-24,22:33:33 | INFO | Train Epoch: 10 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16330 (0.13886) Loss: 0.16330 (0.13886)
2025-08-24,22:34:43 | INFO | Train Epoch: 10 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10924 (0.13863) Loss: 0.10924 (0.13863)
2025-08-24,22:35:52 | INFO | Train Epoch: 10 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17009 (0.13887) Loss: 0.17009 (0.13887)
2025-08-24,22:37:02 | INFO | Train Epoch: 10 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15855 (0.13903) Loss: 0.15855 (0.13903)
2025-08-24,22:38:12 | INFO | Train Epoch: 10 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15736 (0.13917) Loss: 0.15736 (0.13917)
2025-08-24,22:39:22 | INFO | Train Epoch: 10 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14135 (0.13919) Loss: 0.14135 (0.13919)
2025-08-24,22:40:32 | INFO | Train Epoch: 10 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12784 (0.13910) Loss: 0.12784 (0.13910)
2025-08-24,22:41:41 | INFO | Train Epoch: 10 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14165 (0.13912) Loss: 0.14165 (0.13912)
2025-08-24,22:42:51 | INFO | Train Epoch: 10 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12857 (0.13904) Loss: 0.12857 (0.13904)
2025-08-24,22:44:01 | INFO | Train Epoch: 10 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14252 (0.13907) Loss: 0.14252 (0.13907)
2025-08-24,22:45:11 | INFO | Train Epoch: 10 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11941 (0.13892) Loss: 0.11941 (0.13892)
2025-08-24,22:46:21 | INFO | Train Epoch: 10 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12373 (0.13881) Loss: 0.12373 (0.13881)
2025-08-24,22:47:30 | INFO | Train Epoch: 10 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13821 (0.13880) Loss: 0.13821 (0.13880)
2025-08-24,22:48:40 | INFO | Train Epoch: 10 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10751 (0.13858) Loss: 0.10751 (0.13858)
2025-08-24,22:49:50 | INFO | Train Epoch: 10 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13663 (0.13856) Loss: 0.13663 (0.13856)
2025-08-24,22:51:00 | INFO | Train Epoch: 10 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12694 (0.13848) Loss: 0.12694 (0.13848)
2025-08-24,22:52:10 | INFO | Train Epoch: 10 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14055 (0.13849) Loss: 0.14055 (0.13849)
2025-08-24,22:53:19 | INFO | Train Epoch: 10 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16112 (0.13865) Loss: 0.16112 (0.13865)
2025-08-24,22:54:29 | INFO | Train Epoch: 10 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14518 (0.13870) Loss: 0.14518 (0.13870)
2025-08-24,22:55:39 | INFO | Train Epoch: 10 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092413 (0.13838) Loss: 0.092413 (0.13838)
2025-08-24,22:56:49 | INFO | Train Epoch: 10 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13749 (0.13837) Loss: 0.13749 (0.13837)
2025-08-24,22:57:59 | INFO | Train Epoch: 10 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14740 (0.13843) Loss: 0.14740 (0.13843)
2025-08-24,22:59:09 | INFO | Train Epoch: 10 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090400 (0.13811) Loss: 0.090400 (0.13811)
2025-08-24,23:00:19 | INFO | Train Epoch: 10 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10694 (0.13790) Loss: 0.10694 (0.13790)
2025-08-24,23:01:29 | INFO | Train Epoch: 10 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13351 (0.13787) Loss: 0.13351 (0.13787)
2025-08-24,23:02:38 | INFO | Train Epoch: 10 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12302 (0.13777) Loss: 0.12302 (0.13777)
2025-08-24,23:03:48 | INFO | Train Epoch: 10 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14270 (0.13780) Loss: 0.14270 (0.13780)
2025-08-24,23:04:58 | INFO | Train Epoch: 10 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13220 (0.13776) Loss: 0.13220 (0.13776)
2025-08-24,23:06:08 | INFO | Train Epoch: 10 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14148 (0.13779) Loss: 0.14148 (0.13779)
2025-08-24,23:07:17 | INFO | Train Epoch: 10 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12974 (0.13774) Loss: 0.12974 (0.13774)
2025-08-24,23:08:27 | INFO | Train Epoch: 10 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15279 (0.13783) Loss: 0.15279 (0.13783)
2025-08-24,23:09:37 | INFO | Train Epoch: 10 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13321 (0.13780) Loss: 0.13321 (0.13780)
2025-08-24,23:10:47 | INFO | Train Epoch: 10 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20866 (0.13825) Loss: 0.20866 (0.13825)
2025-08-24,23:11:57 | INFO | Train Epoch: 10 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10245 (0.13803) Loss: 0.10245 (0.13803)
2025-08-24,23:13:07 | INFO | Train Epoch: 10 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19049 (0.13836) Loss: 0.19049 (0.13836)
2025-08-24,23:14:17 | INFO | Train Epoch: 10 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14173 (0.13838) Loss: 0.14173 (0.13838)
2025-08-24,23:15:26 | INFO | Train Epoch: 10 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10668 (0.13818) Loss: 0.10668 (0.13818)
2025-08-24,23:16:36 | INFO | Train Epoch: 10 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10885 (0.13800) Loss: 0.10885 (0.13800)
2025-08-24,23:17:46 | INFO | Train Epoch: 10 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12214 (0.13790) Loss: 0.12214 (0.13790)
2025-08-24,23:18:56 | INFO | Train Epoch: 10 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13838 (0.13791) Loss: 0.13838 (0.13791)
2025-08-24,23:20:06 | INFO | Train Epoch: 10 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13215 (0.13787) Loss: 0.13215 (0.13787)
2025-08-24,23:21:16 | INFO | Train Epoch: 10 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14943 (0.13794) Loss: 0.14943 (0.13794)
2025-08-24,23:22:26 | INFO | Train Epoch: 10 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14063 (0.13796) Loss: 0.14063 (0.13796)
2025-08-24,23:23:35 | INFO | Train Epoch: 10 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12413 (0.13788) Loss: 0.12413 (0.13788)
2025-08-24,23:24:45 | INFO | Train Epoch: 10 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12628 (0.13781) Loss: 0.12628 (0.13781)
2025-08-24,23:25:55 | INFO | Train Epoch: 10 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11933 (0.13770) Loss: 0.11933 (0.13770)
2025-08-24,23:27:04 | INFO | Train Epoch: 10 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10186 (0.13749) Loss: 0.10186 (0.13749)
2025-08-24,23:28:14 | INFO | Train Epoch: 10 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11034 (0.13733) Loss: 0.11034 (0.13733)
2025-08-24,23:29:24 | INFO | Train Epoch: 10 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14303 (0.13736) Loss: 0.14303 (0.13736)
2025-08-24,23:30:34 | INFO | Train Epoch: 10 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13879 (0.13737) Loss: 0.13879 (0.13737)
2025-08-24,23:31:43 | INFO | Train Epoch: 10 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14605 (0.13742) Loss: 0.14605 (0.13742)
2025-08-24,23:32:53 | INFO | Train Epoch: 10 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17409 (0.13763) Loss: 0.17409 (0.13763)
2025-08-24,23:34:03 | INFO | Train Epoch: 10 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11888 (0.13752) Loss: 0.11888 (0.13752)
2025-08-24,23:35:13 | INFO | Train Epoch: 10 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10483 (0.13734) Loss: 0.10483 (0.13734)
2025-08-24,23:36:22 | INFO | Train Epoch: 10 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091417 (0.13708) Loss: 0.091417 (0.13708)
2025-08-24,23:37:32 | INFO | Train Epoch: 10 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16266 (0.13723) Loss: 0.16266 (0.13723)
2025-08-24,23:38:42 | INFO | Train Epoch: 10 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18294 (0.13748) Loss: 0.18294 (0.13748)
2025-08-24,23:39:52 | INFO | Train Epoch: 10 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12504 (0.13741) Loss: 0.12504 (0.13741)
2025-08-24,23:41:02 | INFO | Train Epoch: 10 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14537 (0.13745) Loss: 0.14537 (0.13745)
2025-08-24,23:42:12 | INFO | Train Epoch: 10 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12059 (0.13736) Loss: 0.12059 (0.13736)
2025-08-24,23:43:21 | INFO | Train Epoch: 10 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17619 (0.13757) Loss: 0.17619 (0.13757)
2025-08-24,23:44:31 | INFO | Train Epoch: 10 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086307 (0.13730) Loss: 0.086307 (0.13730)
2025-08-24,23:45:41 | INFO | Train Epoch: 10 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12356 (0.13722) Loss: 0.12356 (0.13722)
2025-08-24,23:46:51 | INFO | Train Epoch: 10 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15077 (0.13729) Loss: 0.15077 (0.13729)
2025-08-24,23:48:01 | INFO | Train Epoch: 10 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12090 (0.13721) Loss: 0.12090 (0.13721)
2025-08-24,23:49:10 | INFO | Train Epoch: 10 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099077 (0.13701) Loss: 0.099077 (0.13701)
2025-08-24,23:50:20 | INFO | Train Epoch: 10 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12042 (0.13692) Loss: 0.12042 (0.13692)
2025-08-24,23:51:30 | INFO | Train Epoch: 10 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098775 (0.13672) Loss: 0.098775 (0.13672)
2025-08-24,23:52:40 | INFO | Train Epoch: 10 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12495 (0.13666) Loss: 0.12495 (0.13666)
2025-08-24,23:53:50 | INFO | Train Epoch: 10 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18170 (0.13689) Loss: 0.18170 (0.13689)
2025-08-24,23:54:59 | INFO | Train Epoch: 10 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14358 (0.13693) Loss: 0.14358 (0.13693)
2025-08-24,23:56:09 | INFO | Train Epoch: 10 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12518 (0.13687) Loss: 0.12518 (0.13687)
2025-08-24,23:57:19 | INFO | Train Epoch: 10 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099264 (0.13668) Loss: 0.099264 (0.13668)
2025-08-24,23:58:29 | INFO | Train Epoch: 10 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14278 (0.13671) Loss: 0.14278 (0.13671)
2025-08-24,23:59:38 | INFO | Train Epoch: 10 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12854 (0.13667) Loss: 0.12854 (0.13667)
2025-08-25,00:00:48 | INFO | Train Epoch: 10 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16348 (0.13680) Loss: 0.16348 (0.13680)
2025-08-25,00:01:58 | INFO | Train Epoch: 10 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14243 (0.13683) Loss: 0.14243 (0.13683)
2025-08-25,00:03:08 | INFO | Train Epoch: 10 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17255 (0.13701) Loss: 0.17255 (0.13701)
2025-08-25,00:04:18 | INFO | Train Epoch: 10 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12929 (0.13697) Loss: 0.12929 (0.13697)
2025-08-25,00:05:28 | INFO | Train Epoch: 10 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093187 (0.13675) Loss: 0.093187 (0.13675)
2025-08-25,00:06:37 | INFO | Train Epoch: 10 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19442 (0.13703) Loss: 0.19442 (0.13703)
2025-08-25,00:07:47 | INFO | Train Epoch: 10 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12017 (0.13695) Loss: 0.12017 (0.13695)
2025-08-25,00:08:57 | INFO | Train Epoch: 10 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13528 (0.13694) Loss: 0.13528 (0.13694)
2025-08-25,00:10:07 | INFO | Train Epoch: 10 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12968 (0.13691) Loss: 0.12968 (0.13691)
2025-08-25,00:11:16 | INFO | Train Epoch: 10 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11940 (0.13683) Loss: 0.11940 (0.13683)
2025-08-25,00:12:26 | INFO | Train Epoch: 10 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11572 (0.13672) Loss: 0.11572 (0.13672)
2025-08-25,00:13:36 | INFO | Train Epoch: 10 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096424 (0.13653) Loss: 0.096424 (0.13653)
2025-08-25,00:14:46 | INFO | Train Epoch: 10 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11754 (0.13644) Loss: 0.11754 (0.13644)
2025-08-25,00:15:56 | INFO | Train Epoch: 10 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11586 (0.13635) Loss: 0.11586 (0.13635)
2025-08-25,00:17:05 | INFO | Train Epoch: 10 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12712 (0.13630) Loss: 0.12712 (0.13630)
2025-08-25,00:18:15 | INFO | Train Epoch: 10 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11163 (0.13619) Loss: 0.11163 (0.13619)
2025-08-25,00:19:25 | INFO | Train Epoch: 10 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13361 (0.13618) Loss: 0.13361 (0.13618)
2025-08-25,00:20:35 | INFO | Train Epoch: 10 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12095 (0.13611) Loss: 0.12095 (0.13611)
2025-08-25,00:21:44 | INFO | Train Epoch: 10 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15536 (0.13620) Loss: 0.15536 (0.13620)
2025-08-25,00:22:54 | INFO | Train Epoch: 10 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15337 (0.13627) Loss: 0.15337 (0.13627)
2025-08-25,00:24:04 | INFO | Train Epoch: 10 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12753 (0.13623) Loss: 0.12753 (0.13623)
2025-08-25,00:25:14 | INFO | Train Epoch: 10 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14880 (0.13629) Loss: 0.14880 (0.13629)
2025-08-25,00:26:23 | INFO | Train Epoch: 10 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10860 (0.13617) Loss: 0.10860 (0.13617)
2025-08-25,00:27:33 | INFO | Train Epoch: 10 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13713 (0.13617) Loss: 0.13713 (0.13617)
2025-08-25,00:28:43 | INFO | Train Epoch: 10 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092207 (0.13597) Loss: 0.092207 (0.13597)
2025-08-25,00:29:53 | INFO | Train Epoch: 10 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15020 (0.13604) Loss: 0.15020 (0.13604)
2025-08-25,00:31:03 | INFO | Train Epoch: 10 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14545 (0.13608) Loss: 0.14545 (0.13608)
2025-08-25,00:32:13 | INFO | Train Epoch: 10 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13216 (0.13606) Loss: 0.13216 (0.13606)
2025-08-25,00:33:22 | INFO | Train Epoch: 10 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19275 (0.13631) Loss: 0.19275 (0.13631)
2025-08-25,00:34:32 | INFO | Train Epoch: 10 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14624 (0.13635) Loss: 0.14624 (0.13635)
2025-08-25,00:35:42 | INFO | Train Epoch: 10 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10307 (0.13621) Loss: 0.10307 (0.13621)
2025-08-25,00:36:52 | INFO | Train Epoch: 10 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12349 (0.13615) Loss: 0.12349 (0.13615)
2025-08-25,00:38:02 | INFO | Train Epoch: 10 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16436 (0.13628) Loss: 0.16436 (0.13628)
2025-08-25,00:39:11 | INFO | Train Epoch: 10 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12636 (0.13623) Loss: 0.12636 (0.13623)
2025-08-25,00:40:21 | INFO | Train Epoch: 10 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11669 (0.13615) Loss: 0.11669 (0.13615)
2025-08-25,00:41:31 | INFO | Train Epoch: 10 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18173 (0.13634) Loss: 0.18173 (0.13634)
2025-08-25,00:42:41 | INFO | Train Epoch: 10 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.095205 (0.13617) Loss: 0.095205 (0.13617)
2025-08-25,00:43:51 | INFO | Train Epoch: 10 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16958 (0.13631) Loss: 0.16958 (0.13631)
2025-08-25,00:45:01 | INFO | Train Epoch: 10 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10529 (0.13618) Loss: 0.10529 (0.13618)
2025-08-25,00:46:10 | INFO | Train Epoch: 10 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12011 (0.13611) Loss: 0.12011 (0.13611)
2025-08-25,00:47:20 | INFO | Train Epoch: 10 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13901 (0.13612) Loss: 0.13901 (0.13612)
2025-08-25,00:48:30 | INFO | Train Epoch: 10 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12659 (0.13609) Loss: 0.12659 (0.13609)
2025-08-25,00:49:40 | INFO | Train Epoch: 10 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14697 (0.13613) Loss: 0.14697 (0.13613)
2025-08-25,00:50:49 | INFO | Train Epoch: 10 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13377 (0.13612) Loss: 0.13377 (0.13612)
2025-08-25,00:51:59 | INFO | Train Epoch: 10 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14336 (0.13615) Loss: 0.14336 (0.13615)
2025-08-25,00:53:09 | INFO | Train Epoch: 10 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13267 (0.13614) Loss: 0.13267 (0.13614)
2025-08-25,00:54:19 | INFO | Train Epoch: 10 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10607 (0.13601) Loss: 0.10607 (0.13601)
2025-08-25,00:55:29 | INFO | Train Epoch: 10 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12099 (0.13595) Loss: 0.12099 (0.13595)
2025-08-25,00:56:38 | INFO | Train Epoch: 10 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15050 (0.13601) Loss: 0.15050 (0.13601)
2025-08-25,00:57:48 | INFO | Train Epoch: 10 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15878 (0.13610) Loss: 0.15878 (0.13610)
2025-08-25,00:58:58 | INFO | Train Epoch: 10 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10587 (0.13598) Loss: 0.10587 (0.13598)
2025-08-25,01:00:08 | INFO | Train Epoch: 10 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11786 (0.13591) Loss: 0.11786 (0.13591)
2025-08-25,01:01:17 | INFO | Train Epoch: 10 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17733 (0.13607) Loss: 0.17733 (0.13607)
2025-08-25,01:02:27 | INFO | Train Epoch: 10 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13791 (0.13608) Loss: 0.13791 (0.13608)
2025-08-25,01:03:37 | INFO | Train Epoch: 10 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11001 (0.13598) Loss: 0.11001 (0.13598)
2025-08-25,01:04:46 | INFO | Train Epoch: 10 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086219 (0.13578) Loss: 0.086219 (0.13578)
2025-08-25,01:05:56 | INFO | Train Epoch: 10 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11793 (0.13571) Loss: 0.11793 (0.13571)
2025-08-25,01:07:05 | INFO | Train Epoch: 10 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13574 (0.13571) Loss: 0.13574 (0.13571)
2025-08-25,01:08:15 | INFO | Train Epoch: 10 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13242 (0.13570) Loss: 0.13242 (0.13570)
2025-08-25,01:09:25 | INFO | Train Epoch: 10 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11297 (0.13561) Loss: 0.11297 (0.13561)
2025-08-25,01:10:35 | INFO | Train Epoch: 10 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14442 (0.13565) Loss: 0.14442 (0.13565)
2025-08-25,01:11:45 | INFO | Train Epoch: 10 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12332 (0.13560) Loss: 0.12332 (0.13560)
2025-08-25,01:12:54 | INFO | Train Epoch: 10 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14261 (0.13563) Loss: 0.14261 (0.13563)
2025-08-25,01:14:04 | INFO | Train Epoch: 10 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10259 (0.13550) Loss: 0.10259 (0.13550)
2025-08-25,01:15:14 | INFO | Train Epoch: 10 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15798 (0.13559) Loss: 0.15798 (0.13559)
2025-08-25,01:16:24 | INFO | Train Epoch: 10 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16716 (0.13571) Loss: 0.16716 (0.13571)
2025-08-25,01:17:34 | INFO | Train Epoch: 10 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14922 (0.13576) Loss: 0.14922 (0.13576)
2025-08-25,01:18:43 | INFO | Train Epoch: 10 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10626 (0.13565) Loss: 0.10626 (0.13565)
2025-08-25,01:19:53 | INFO | Train Epoch: 10 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17149 (0.13578) Loss: 0.17149 (0.13578)
2025-08-25,01:21:03 | INFO | Train Epoch: 10 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12956 (0.13576) Loss: 0.12956 (0.13576)
2025-08-25,01:22:13 | INFO | Train Epoch: 10 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13753 (0.13576) Loss: 0.13753 (0.13576)
2025-08-25,01:23:22 | INFO | Train Epoch: 10 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17263 (0.13590) Loss: 0.17263 (0.13590)
2025-08-25,01:24:32 | INFO | Train Epoch: 10 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15426 (0.13597) Loss: 0.15426 (0.13597)
2025-08-25,01:25:42 | INFO | Train Epoch: 10 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10462 (0.13585) Loss: 0.10462 (0.13585)
2025-08-25,01:26:52 | INFO | Train Epoch: 10 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13499 (0.13585) Loss: 0.13499 (0.13585)
2025-08-25,01:28:01 | INFO | Train Epoch: 10 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11073 (0.13576) Loss: 0.11073 (0.13576)
2025-08-25,01:29:11 | INFO | Train Epoch: 10 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14870 (0.13580) Loss: 0.14870 (0.13580)
2025-08-25,01:30:21 | INFO | Train Epoch: 10 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12818 (0.13578) Loss: 0.12818 (0.13578)
2025-08-25,01:31:31 | INFO | Train Epoch: 10 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12672 (0.13574) Loss: 0.12672 (0.13574)
2025-08-25,01:32:40 | INFO | Train Epoch: 10 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11401 (0.13567) Loss: 0.11401 (0.13567)
2025-08-25,01:33:50 | INFO | Train Epoch: 10 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096250 (0.13553) Loss: 0.096250 (0.13553)
2025-08-25,01:35:00 | INFO | Train Epoch: 10 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11285 (0.13544) Loss: 0.11285 (0.13544)
2025-08-25,01:36:09 | INFO | Train Epoch: 10 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12043 (0.13539) Loss: 0.12043 (0.13539)
2025-08-25,01:37:19 | INFO | Train Epoch: 10 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11524 (0.13532) Loss: 0.11524 (0.13532)
2025-08-25,01:38:29 | INFO | Train Epoch: 10 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086992 (0.13515) Loss: 0.086992 (0.13515)
2025-08-25,01:39:38 | INFO | Train Epoch: 10 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088333 (0.13499) Loss: 0.088333 (0.13499)
2025-08-25,01:40:48 | INFO | Train Epoch: 10 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11687 (0.13492) Loss: 0.11687 (0.13492)
2025-08-25,01:41:58 | INFO | Train Epoch: 10 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14983 (0.13497) Loss: 0.14983 (0.13497)
2025-08-25,01:43:07 | INFO | Train Epoch: 10 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12965 (0.13496) Loss: 0.12965 (0.13496)
2025-08-25,01:44:17 | INFO | Train Epoch: 10 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10421 (0.13485) Loss: 0.10421 (0.13485)
2025-08-25,01:45:27 | INFO | Train Epoch: 10 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12382 (0.13481) Loss: 0.12382 (0.13481)
2025-08-25,01:46:37 | INFO | Train Epoch: 10 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10123 (0.13470) Loss: 0.10123 (0.13470)
2025-08-25,01:47:46 | INFO | Train Epoch: 10 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14180 (0.13472) Loss: 0.14180 (0.13472)
2025-08-25,01:48:56 | INFO | Train Epoch: 10 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12368 (0.13468) Loss: 0.12368 (0.13468)
2025-08-25,01:50:06 | INFO | Train Epoch: 10 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12626 (0.13465) Loss: 0.12626 (0.13465)
2025-08-25,01:51:16 | INFO | Train Epoch: 10 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15651 (0.13473) Loss: 0.15651 (0.13473)
2025-08-25,01:52:26 | INFO | Train Epoch: 10 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11903 (0.13468) Loss: 0.11903 (0.13468)
2025-08-25,01:53:35 | INFO | Train Epoch: 10 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11317 (0.13460) Loss: 0.11317 (0.13460)
2025-08-25,01:54:45 | INFO | Train Epoch: 10 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15696 (0.13468) Loss: 0.15696 (0.13468)
2025-08-25,01:55:55 | INFO | Train Epoch: 10 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12848 (0.13466) Loss: 0.12848 (0.13466)
2025-08-25,01:57:05 | INFO | Train Epoch: 10 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14644 (0.13470) Loss: 0.14644 (0.13470)
2025-08-25,01:58:14 | INFO | Train Epoch: 10 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16908 (0.13481) Loss: 0.16908 (0.13481)
2025-08-25,01:59:24 | INFO | Train Epoch: 10 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16278 (0.13490) Loss: 0.16278 (0.13490)
2025-08-25,02:00:34 | INFO | Train Epoch: 10 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092408 (0.13476) Loss: 0.092408 (0.13476)
2025-08-25,02:01:43 | INFO | Train Epoch: 10 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11971 (0.13471) Loss: 0.11971 (0.13471)
2025-08-25,02:02:53 | INFO | Train Epoch: 10 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14304 (0.13474) Loss: 0.14304 (0.13474)
2025-08-25,02:04:03 | INFO | Train Epoch: 10 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15901 (0.13482) Loss: 0.15901 (0.13482)
2025-08-25,02:05:13 | INFO | Train Epoch: 10 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15674 (0.13489) Loss: 0.15674 (0.13489)
2025-08-25,02:06:23 | INFO | Train Epoch: 10 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13531 (0.13489) Loss: 0.13531 (0.13489)
2025-08-25,02:07:32 | INFO | Train Epoch: 10 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10212 (0.13479) Loss: 0.10212 (0.13479)
2025-08-25,02:08:42 | INFO | Train Epoch: 10 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11814 (0.13473) Loss: 0.11814 (0.13473)
2025-08-25,02:09:52 | INFO | Train Epoch: 10 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13072 (0.13472) Loss: 0.13072 (0.13472)
2025-08-25,02:11:02 | INFO | Train Epoch: 10 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10829 (0.13464) Loss: 0.10829 (0.13464)
2025-08-25,02:12:12 | INFO | Train Epoch: 10 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11702 (0.13458) Loss: 0.11702 (0.13458)
2025-08-25,02:13:21 | INFO | Train Epoch: 10 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073843 (0.13439) Loss: 0.073843 (0.13439)
2025-08-25,02:14:31 | INFO | Train Epoch: 10 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12427 (0.13435) Loss: 0.12427 (0.13435)
2025-08-25,02:15:41 | INFO | Train Epoch: 10 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13125 (0.13434) Loss: 0.13125 (0.13434)
2025-08-25,02:16:51 | INFO | Train Epoch: 10 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11401 (0.13428) Loss: 0.11401 (0.13428)
2025-08-25,02:18:01 | INFO | Train Epoch: 10 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12117 (0.13424) Loss: 0.12117 (0.13424)
2025-08-25,02:19:10 | INFO | Train Epoch: 10 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16757 (0.13434) Loss: 0.16757 (0.13434)
2025-08-25,02:20:20 | INFO | Train Epoch: 10 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13132 (0.13433) Loss: 0.13132 (0.13433)
2025-08-25,02:21:30 | INFO | Train Epoch: 10 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15073 (0.13438) Loss: 0.15073 (0.13438)
2025-08-25,02:22:40 | INFO | Train Epoch: 10 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14310 (0.13441) Loss: 0.14310 (0.13441)
2025-08-25,02:23:49 | INFO | Train Epoch: 10 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13035 (0.13440) Loss: 0.13035 (0.13440)
2025-08-25,02:24:59 | INFO | Train Epoch: 10 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14282 (0.13443) Loss: 0.14282 (0.13443)
2025-08-25,02:26:09 | INFO | Train Epoch: 10 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14002 (0.13444) Loss: 0.14002 (0.13444)
2025-08-25,02:27:19 | INFO | Train Epoch: 10 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10795 (0.13436) Loss: 0.10795 (0.13436)
2025-08-25,02:28:28 | INFO | Train Epoch: 10 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12742 (0.13434) Loss: 0.12742 (0.13434)
2025-08-25,02:29:38 | INFO | Train Epoch: 10 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11278 (0.13427) Loss: 0.11278 (0.13427)
2025-08-25,02:30:48 | INFO | Train Epoch: 10 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15004 (0.13432) Loss: 0.15004 (0.13432)
2025-08-25,02:31:58 | INFO | Train Epoch: 10 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.095229 (0.13420) Loss: 0.095229 (0.13420)
2025-08-25,02:33:07 | INFO | Train Epoch: 10 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099734 (0.13410) Loss: 0.099734 (0.13410)
2025-08-25,02:34:17 | INFO | Train Epoch: 10 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10656 (0.13402) Loss: 0.10656 (0.13402)
2025-08-25,02:35:27 | INFO | Train Epoch: 10 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12049 (0.13398) Loss: 0.12049 (0.13398)
2025-08-25,02:36:37 | INFO | Train Epoch: 10 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10828 (0.13390) Loss: 0.10828 (0.13390)
2025-08-25,02:37:47 | INFO | Train Epoch: 10 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10606 (0.13382) Loss: 0.10606 (0.13382)
2025-08-25,02:38:56 | INFO | Train Epoch: 10 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11792 (0.13377) Loss: 0.11792 (0.13377)
2025-08-25,02:40:06 | INFO | Train Epoch: 10 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097524 (0.13366) Loss: 0.097524 (0.13366)
2025-08-25,02:41:16 | INFO | Train Epoch: 10 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14815 (0.13370) Loss: 0.14815 (0.13370)
2025-08-25,02:42:26 | INFO | Train Epoch: 10 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12561 (0.13368) Loss: 0.12561 (0.13368)
2025-08-25,02:43:36 | INFO | Train Epoch: 10 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10707 (0.13360) Loss: 0.10707 (0.13360)
2025-08-25,02:44:45 | INFO | Train Epoch: 10 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099452 (0.13350) Loss: 0.099452 (0.13350)
2025-08-25,02:45:55 | INFO | Train Epoch: 10 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14744 (0.13354) Loss: 0.14744 (0.13354)
2025-08-25,02:47:05 | INFO | Train Epoch: 10 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11350 (0.13348) Loss: 0.11350 (0.13348)
2025-08-25,02:48:15 | INFO | Train Epoch: 10 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12672 (0.13346) Loss: 0.12672 (0.13346)
2025-08-25,02:49:24 | INFO | Train Epoch: 10 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12839 (0.13345) Loss: 0.12839 (0.13345)
2025-08-25,02:50:34 | INFO | Train Epoch: 10 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13554 (0.13346) Loss: 0.13554 (0.13346)
2025-08-25,02:51:44 | INFO | Train Epoch: 10 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12048 (0.13342) Loss: 0.12048 (0.13342)
2025-08-25,02:52:54 | INFO | Train Epoch: 10 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13738 (0.13343) Loss: 0.13738 (0.13343)
2025-08-25,02:54:03 | INFO | Train Epoch: 10 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16284 (0.13351) Loss: 0.16284 (0.13351)
2025-08-25,02:55:13 | INFO | Train Epoch: 10 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10913 (0.13344) Loss: 0.10913 (0.13344)
2025-08-25,02:56:23 | INFO | Train Epoch: 10 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12712 (0.13343) Loss: 0.12712 (0.13343)
2025-08-25,02:57:33 | INFO | Train Epoch: 10 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13084 (0.13342) Loss: 0.13084 (0.13342)
2025-08-25,02:58:42 | INFO | Train Epoch: 10 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14408 (0.13345) Loss: 0.14408 (0.13345)
2025-08-25,02:59:52 | INFO | Train Epoch: 10 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11307 (0.13339) Loss: 0.11307 (0.13339)
2025-08-25,03:01:02 | INFO | Train Epoch: 10 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13005 (0.13338) Loss: 0.13005 (0.13338)
2025-08-25,03:02:12 | INFO | Train Epoch: 10 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14627 (0.13342) Loss: 0.14627 (0.13342)
2025-08-25,03:03:22 | INFO | Train Epoch: 10 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13601 (0.13343) Loss: 0.13601 (0.13343)
2025-08-25,03:04:31 | INFO | Train Epoch: 10 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11827 (0.13338) Loss: 0.11827 (0.13338)
2025-08-25,03:05:41 | INFO | Train Epoch: 10 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11966 (0.13334) Loss: 0.11966 (0.13334)
2025-08-25,03:06:51 | INFO | Train Epoch: 10 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10017 (0.13325) Loss: 0.10017 (0.13325)
2025-08-25,03:08:01 | INFO | Train Epoch: 10 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18137 (0.13339) Loss: 0.18137 (0.13339)
2025-08-25,03:09:11 | INFO | Train Epoch: 10 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096332 (0.13328) Loss: 0.096332 (0.13328)
2025-08-25,03:10:20 | INFO | Train Epoch: 10 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17019 (0.13339) Loss: 0.17019 (0.13339)
2025-08-25,03:11:30 | INFO | Train Epoch: 10 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12985 (0.13338) Loss: 0.12985 (0.13338)
2025-08-25,03:12:40 | INFO | Train Epoch: 10 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10858 (0.13331) Loss: 0.10858 (0.13331)
2025-08-25,03:13:50 | INFO | Train Epoch: 10 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12418 (0.13328) Loss: 0.12418 (0.13328)
2025-08-25,03:15:00 | INFO | Train Epoch: 10 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11224 (0.13323) Loss: 0.11224 (0.13323)
2025-08-25,03:16:09 | INFO | Train Epoch: 10 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15885 (0.13330) Loss: 0.15885 (0.13330)
2025-08-25,03:17:19 | INFO | Train Epoch: 10 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14095 (0.13332) Loss: 0.14095 (0.13332)
2025-08-25,03:18:29 | INFO | Train Epoch: 10 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14401 (0.13334) Loss: 0.14401 (0.13334)
2025-08-25,03:19:39 | INFO | Train Epoch: 10 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12882 (0.13333) Loss: 0.12882 (0.13333)
2025-08-25,03:20:48 | INFO | Train Epoch: 10 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11800 (0.13329) Loss: 0.11800 (0.13329)
2025-08-25,03:21:58 | INFO | Train Epoch: 10 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085818 (0.13316) Loss: 0.085818 (0.13316)
2025-08-25,03:23:08 | INFO | Train Epoch: 10 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13049 (0.13316) Loss: 0.13049 (0.13316)
2025-08-25,03:24:18 | INFO | Train Epoch: 10 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11332 (0.13310) Loss: 0.11332 (0.13310)
2025-08-25,03:25:28 | INFO | Train Epoch: 10 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11850 (0.13307) Loss: 0.11850 (0.13307)
2025-08-25,03:26:37 | INFO | Train Epoch: 10 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13238 (0.13306) Loss: 0.13238 (0.13306)
2025-08-25,03:27:47 | INFO | Train Epoch: 10 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.095100 (0.13296) Loss: 0.095100 (0.13296)
2025-08-25,03:28:57 | INFO | Train Epoch: 10 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.20681 (0.13316) Loss: 0.20681 (0.13316)
2025-08-25,03:30:07 | INFO | Train Epoch: 10 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12516 (0.13314) Loss: 0.12516 (0.13314)
2025-08-25,03:31:16 | INFO | Train Epoch: 10 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14882 (0.13318) Loss: 0.14882 (0.13318)
2025-08-25,03:32:26 | INFO | Train Epoch: 10 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10317 (0.13310) Loss: 0.10317 (0.13310)
2025-08-25,03:33:36 | INFO | Train Epoch: 10 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12569 (0.13308) Loss: 0.12569 (0.13308)
2025-08-25,03:34:46 | INFO | Train Epoch: 10 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10552 (0.13301) Loss: 0.10552 (0.13301)
2025-08-25,03:35:56 | INFO | Train Epoch: 10 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10835 (0.13294) Loss: 0.10835 (0.13294)
2025-08-25,03:37:06 | INFO | Train Epoch: 10 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12810 (0.13293) Loss: 0.12810 (0.13293)
2025-08-25,03:38:15 | INFO | Train Epoch: 10 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12259 (0.13290) Loss: 0.12259 (0.13290)
2025-08-25,03:39:25 | INFO | Train Epoch: 10 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15332 (0.13296) Loss: 0.15332 (0.13296)
2025-08-25,03:40:35 | INFO | Train Epoch: 10 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12140 (0.13293) Loss: 0.12140 (0.13293)
2025-08-25,03:41:45 | INFO | Train Epoch: 10 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10898 (0.13287) Loss: 0.10898 (0.13287)
2025-08-25,03:42:54 | INFO | Train Epoch: 10 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15654 (0.13293) Loss: 0.15654 (0.13293)
2025-08-25,03:44:04 | INFO | Train Epoch: 10 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13908 (0.13294) Loss: 0.13908 (0.13294)
2025-08-25,03:45:14 | INFO | Train Epoch: 10 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15065 (0.13299) Loss: 0.15065 (0.13299)
2025-08-25,03:46:24 | INFO | Train Epoch: 10 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12804 (0.13298) Loss: 0.12804 (0.13298)
2025-08-25,03:47:34 | INFO | Train Epoch: 10 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088783 (0.13286) Loss: 0.088783 (0.13286)
2025-08-25,03:48:44 | INFO | Train Epoch: 10 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10557 (0.13279) Loss: 0.10557 (0.13279)
2025-08-25,03:49:53 | INFO | Train Epoch: 10 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12081 (0.13276) Loss: 0.12081 (0.13276)
2025-08-25,03:51:03 | INFO | Train Epoch: 10 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11745 (0.13273) Loss: 0.11745 (0.13273)
2025-08-25,03:52:13 | INFO | Train Epoch: 10 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14825 (0.13276) Loss: 0.14825 (0.13276)
2025-08-25,03:53:23 | INFO | Train Epoch: 10 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11603 (0.13272) Loss: 0.11603 (0.13272)
2025-08-25,03:54:33 | INFO | Train Epoch: 10 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10601 (0.13266) Loss: 0.10601 (0.13266)
2025-08-25,03:55:42 | INFO | Train Epoch: 10 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11727 (0.13262) Loss: 0.11727 (0.13262)
2025-08-25,03:56:52 | INFO | Train Epoch: 10 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12561 (0.13260) Loss: 0.12561 (0.13260)
2025-08-25,03:58:02 | INFO | Train Epoch: 10 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13966 (0.13262) Loss: 0.13966 (0.13262)
2025-08-25,03:59:12 | INFO | Train Epoch: 10 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12038 (0.13259) Loss: 0.12038 (0.13259)
2025-08-25,04:00:22 | INFO | Train Epoch: 10 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10058 (0.13251) Loss: 0.10058 (0.13251)
2025-08-25,04:01:32 | INFO | Train Epoch: 10 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.17526 (0.13261) Loss: 0.17526 (0.13261)
2025-08-25,04:02:42 | INFO | Train Epoch: 10 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10583 (0.13255) Loss: 0.10583 (0.13255)
2025-08-25,04:03:51 | INFO | Train Epoch: 10 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15102 (0.13259) Loss: 0.15102 (0.13259)
2025-08-25,04:05:01 | INFO | Train Epoch: 10 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11684 (0.13255) Loss: 0.11684 (0.13255)
2025-08-25,04:06:11 | INFO | Train Epoch: 10 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16528 (0.13263) Loss: 0.16528 (0.13263)
2025-08-25,04:07:21 | INFO | Train Epoch: 10 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14036 (0.13265) Loss: 0.14036 (0.13265)
2025-08-25,04:08:31 | INFO | Train Epoch: 10 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14237 (0.13268) Loss: 0.14237 (0.13268)
2025-08-25,04:09:41 | INFO | Train Epoch: 10 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11996 (0.13265) Loss: 0.11996 (0.13265)
2025-08-25,04:10:50 | INFO | Train Epoch: 10 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13149 (0.13264) Loss: 0.13149 (0.13264)
2025-08-25,04:12:00 | INFO | Train Epoch: 10 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097433 (0.13256) Loss: 0.097433 (0.13256)
2025-08-25,04:13:10 | INFO | Train Epoch: 10 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096188 (0.13247) Loss: 0.096188 (0.13247)
2025-08-25,04:14:20 | INFO | Train Epoch: 10 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16728 (0.13255) Loss: 0.16728 (0.13255)
2025-08-25,04:15:30 | INFO | Train Epoch: 10 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12395 (0.13253) Loss: 0.12395 (0.13253)
2025-08-25,04:16:40 | INFO | Train Epoch: 10 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11756 (0.13250) Loss: 0.11756 (0.13250)
2025-08-25,04:17:50 | INFO | Train Epoch: 10 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11234 (0.13245) Loss: 0.11234 (0.13245)
2025-08-25,04:19:00 | INFO | Train Epoch: 10 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12308 (0.13243) Loss: 0.12308 (0.13243)
2025-08-25,04:20:10 | INFO | Train Epoch: 10 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11501 (0.13239) Loss: 0.11501 (0.13239)
2025-08-25,04:21:19 | INFO | Train Epoch: 10 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10943 (0.13233) Loss: 0.10943 (0.13233)
2025-08-25,04:22:29 | INFO | Train Epoch: 10 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097773 (0.13225) Loss: 0.097773 (0.13225)
2025-08-25,04:23:39 | INFO | Train Epoch: 10 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13499 (0.13226) Loss: 0.13499 (0.13226)
2025-08-25,04:24:49 | INFO | Train Epoch: 10 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12838 (0.13225) Loss: 0.12838 (0.13225)
2025-08-25,04:25:58 | INFO | Train Epoch: 10 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15466 (0.13230) Loss: 0.15466 (0.13230)
2025-08-25,04:27:08 | INFO | Train Epoch: 10 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12412 (0.13228) Loss: 0.12412 (0.13228)
2025-08-25,04:28:18 | INFO | Train Epoch: 10 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12138 (0.13226) Loss: 0.12138 (0.13226)
2025-08-25,04:29:28 | INFO | Train Epoch: 10 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12745 (0.13225) Loss: 0.12745 (0.13225)
2025-08-25,04:30:38 | INFO | Train Epoch: 10 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091346 (0.13215) Loss: 0.091346 (0.13215)
2025-08-25,04:31:47 | INFO | Train Epoch: 10 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13515 (0.13216) Loss: 0.13515 (0.13216)
2025-08-25,04:32:57 | INFO | Train Epoch: 10 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13616 (0.13217) Loss: 0.13616 (0.13217)
2025-08-25,04:34:07 | INFO | Train Epoch: 10 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13182 (0.13217) Loss: 0.13182 (0.13217)
2025-08-25,04:35:17 | INFO | Train Epoch: 10 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10126 (0.13210) Loss: 0.10126 (0.13210)
2025-08-25,04:36:27 | INFO | Train Epoch: 10 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11862 (0.13206) Loss: 0.11862 (0.13206)
2025-08-25,04:37:36 | INFO | Train Epoch: 10 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093808 (0.13198) Loss: 0.093808 (0.13198)
2025-08-25,04:38:46 | INFO | Train Epoch: 10 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14542 (0.13201) Loss: 0.14542 (0.13201)
2025-08-25,04:39:56 | INFO | Train Epoch: 10 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16881 (0.13209) Loss: 0.16881 (0.13209)
2025-08-25,04:41:06 | INFO | Train Epoch: 10 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13226 (0.13209) Loss: 0.13226 (0.13209)
2025-08-25,04:42:16 | INFO | Train Epoch: 10 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098919 (0.13202) Loss: 0.098919 (0.13202)
2025-08-25,04:43:26 | INFO | Train Epoch: 10 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14581 (0.13205) Loss: 0.14581 (0.13205)
2025-08-25,04:44:35 | INFO | Train Epoch: 10 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15123 (0.13209) Loss: 0.15123 (0.13209)
2025-08-25,04:45:45 | INFO | Train Epoch: 10 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16308 (0.13216) Loss: 0.16308 (0.13216)
2025-08-25,04:46:55 | INFO | Train Epoch: 10 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12418 (0.13214) Loss: 0.12418 (0.13214)
2025-08-25,04:48:05 | INFO | Train Epoch: 10 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12861 (0.13214) Loss: 0.12861 (0.13214)
2025-08-25,04:49:15 | INFO | Train Epoch: 10 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14493 (0.13216) Loss: 0.14493 (0.13216)
2025-08-25,04:50:25 | INFO | Train Epoch: 10 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085819 (0.13206) Loss: 0.085819 (0.13206)
2025-08-25,04:51:34 | INFO | Train Epoch: 10 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11751 (0.13203) Loss: 0.11751 (0.13203)
2025-08-25,04:52:44 | INFO | Train Epoch: 10 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12085 (0.13200) Loss: 0.12085 (0.13200)
2025-08-25,04:53:54 | INFO | Train Epoch: 10 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13340 (0.13201) Loss: 0.13340 (0.13201)
2025-08-25,04:55:04 | INFO | Train Epoch: 10 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13035 (0.13200) Loss: 0.13035 (0.13200)
2025-08-25,04:56:13 | INFO | Train Epoch: 10 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13589 (0.13201) Loss: 0.13589 (0.13201)
2025-08-25,04:57:23 | INFO | Train Epoch: 10 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15749 (0.13207) Loss: 0.15749 (0.13207)
2025-08-25,04:58:33 | INFO | Train Epoch: 10 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14945 (0.13211) Loss: 0.14945 (0.13211)
2025-08-25,04:59:43 | INFO | Train Epoch: 10 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.18022 (0.13221) Loss: 0.18022 (0.13221)
2025-08-25,05:00:53 | INFO | Train Epoch: 10 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081129 (0.13210) Loss: 0.081129 (0.13210)
2025-08-25,05:02:03 | INFO | Train Epoch: 10 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12129 (0.13208) Loss: 0.12129 (0.13208)
2025-08-25,05:03:12 | INFO | Train Epoch: 10 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14229 (0.13210) Loss: 0.14229 (0.13210)
2025-08-25,05:04:22 | INFO | Train Epoch: 10 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092947 (0.13201) Loss: 0.092947 (0.13201)
2025-08-25,05:05:32 | INFO | Train Epoch: 10 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11966 (0.13199) Loss: 0.11966 (0.13199)
2025-08-25,05:06:42 | INFO | Train Epoch: 10 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.095104 (0.13191) Loss: 0.095104 (0.13191)
2025-08-25,05:07:52 | INFO | Train Epoch: 10 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10826 (0.13186) Loss: 0.10826 (0.13186)
2025-08-25,05:09:02 | INFO | Train Epoch: 10 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14527 (0.13188) Loss: 0.14527 (0.13188)
2025-08-25,05:10:11 | INFO | Train Epoch: 10 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093269 (0.13180) Loss: 0.093269 (0.13180)
2025-08-25,05:11:21 | INFO | Train Epoch: 10 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14797 (0.13184) Loss: 0.14797 (0.13184)
2025-08-25,05:12:31 | INFO | Train Epoch: 10 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12202 (0.13182) Loss: 0.12202 (0.13182)
2025-08-25,05:13:41 | INFO | Train Epoch: 10 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15111 (0.13186) Loss: 0.15111 (0.13186)
2025-08-25,05:14:50 | INFO | Train Epoch: 10 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090366 (0.13177) Loss: 0.090366 (0.13177)
2025-08-25,05:16:00 | INFO | Train Epoch: 10 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14340 (0.13179) Loss: 0.14340 (0.13179)
2025-08-25,05:17:10 | INFO | Train Epoch: 10 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11897 (0.13177) Loss: 0.11897 (0.13177)
2025-08-25,05:18:20 | INFO | Train Epoch: 10 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13566 (0.13177) Loss: 0.13566 (0.13177)
2025-08-25,05:19:29 | INFO | Train Epoch: 10 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.16893 (0.13185) Loss: 0.16893 (0.13185)
2025-08-25,05:20:39 | INFO | Train Epoch: 10 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098125 (0.13178) Loss: 0.098125 (0.13178)
2025-08-25,05:21:49 | INFO | Train Epoch: 10 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11543 (0.13175) Loss: 0.11543 (0.13175)
2025-08-25,05:22:58 | INFO | Train Epoch: 10 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12324 (0.13173) Loss: 0.12324 (0.13173)
2025-08-25,05:24:08 | INFO | Train Epoch: 10 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12213 (0.13171) Loss: 0.12213 (0.13171)
2025-08-25,05:25:18 | INFO | Train Epoch: 10 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12480 (0.13169) Loss: 0.12480 (0.13169)
2025-08-25,05:26:28 | INFO | Train Epoch: 10 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12352 (0.13168) Loss: 0.12352 (0.13168)
2025-08-25,05:27:37 | INFO | Train Epoch: 10 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12488 (0.13166) Loss: 0.12488 (0.13166)
2025-08-25,05:28:47 | INFO | Train Epoch: 10 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098683 (0.13160) Loss: 0.098683 (0.13160)
2025-08-25,05:29:57 | INFO | Train Epoch: 10 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13012 (0.13159) Loss: 0.13012 (0.13159)
2025-08-25,05:31:07 | INFO | Train Epoch: 10 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15655 (0.13164) Loss: 0.15655 (0.13164)
2025-08-25,05:32:16 | INFO | Train Epoch: 10 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13571 (0.13165) Loss: 0.13571 (0.13165)
2025-08-25,05:33:26 | INFO | Train Epoch: 10 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11739 (0.13162) Loss: 0.11739 (0.13162)
2025-08-25,05:34:36 | INFO | Train Epoch: 10 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13538 (0.13163) Loss: 0.13538 (0.13163)
2025-08-25,05:35:46 | INFO | Train Epoch: 10 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096249 (0.13156) Loss: 0.096249 (0.13156)
2025-08-25,05:36:56 | INFO | Train Epoch: 10 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10533 (0.13150) Loss: 0.10533 (0.13150)
2025-08-25,05:38:05 | INFO | Train Epoch: 10 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12870 (0.13150) Loss: 0.12870 (0.13150)
2025-08-25,05:39:15 | INFO | Train Epoch: 10 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12614 (0.13149) Loss: 0.12614 (0.13149)
2025-08-25,05:40:25 | INFO | Train Epoch: 10 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12584 (0.13148) Loss: 0.12584 (0.13148)
2025-08-25,05:41:35 | INFO | Train Epoch: 10 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12519 (0.13146) Loss: 0.12519 (0.13146)
2025-08-25,05:42:45 | INFO | Train Epoch: 10 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12177 (0.13144) Loss: 0.12177 (0.13144)
2025-08-25,05:43:54 | INFO | Train Epoch: 10 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12452 (0.13143) Loss: 0.12452 (0.13143)
2025-08-25,05:45:04 | INFO | Train Epoch: 10 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11197 (0.13139) Loss: 0.11197 (0.13139)
2025-08-25,05:46:14 | INFO | Train Epoch: 10 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14856 (0.13143) Loss: 0.14856 (0.13143)
2025-08-25,05:47:24 | INFO | Train Epoch: 10 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10626 (0.13137) Loss: 0.10626 (0.13137)
2025-08-25,05:48:34 | INFO | Train Epoch: 10 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11366 (0.13134) Loss: 0.11366 (0.13134)
2025-08-25,05:49:43 | INFO | Train Epoch: 10 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12551 (0.13133) Loss: 0.12551 (0.13133)
2025-08-25,05:50:53 | INFO | Train Epoch: 10 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13999 (0.13134) Loss: 0.13999 (0.13134)
2025-08-25,05:52:03 | INFO | Train Epoch: 10 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13032 (0.13134) Loss: 0.13032 (0.13134)
2025-08-25,05:53:13 | INFO | Train Epoch: 10 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088713 (0.13126) Loss: 0.088713 (0.13126)
2025-08-25,05:54:22 | INFO | Train Epoch: 10 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13160 (0.13126) Loss: 0.13160 (0.13126)
2025-08-25,05:55:32 | INFO | Train Epoch: 10 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12621 (0.13125) Loss: 0.12621 (0.13125)
2025-08-25,05:56:42 | INFO | Train Epoch: 10 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13578 (0.13126) Loss: 0.13578 (0.13126)
2025-08-25,05:57:52 | INFO | Train Epoch: 10 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10629 (0.13121) Loss: 0.10629 (0.13121)
2025-08-25,05:59:01 | INFO | Train Epoch: 10 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12133 (0.13119) Loss: 0.12133 (0.13119)
2025-08-25,06:00:11 | INFO | Train Epoch: 10 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11284 (0.13115) Loss: 0.11284 (0.13115)
2025-08-25,06:01:21 | INFO | Train Epoch: 10 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.19048 (0.13127) Loss: 0.19048 (0.13127)
2025-08-25,06:02:31 | INFO | Train Epoch: 10 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13297 (0.13127) Loss: 0.13297 (0.13127)
2025-08-25,06:03:41 | INFO | Train Epoch: 10 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11167 (0.13123) Loss: 0.11167 (0.13123)
2025-08-25,06:04:51 | INFO | Train Epoch: 10 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15365 (0.13128) Loss: 0.15365 (0.13128)
2025-08-25,06:06:00 | INFO | Train Epoch: 10 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10695 (0.13123) Loss: 0.10695 (0.13123)
2025-08-25,06:07:10 | INFO | Train Epoch: 10 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11249 (0.13119) Loss: 0.11249 (0.13119)
2025-08-25,06:08:17 | INFO | Train Epoch: 10 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.095767 (0.13113) Loss: 0.095767 (0.13113)
2025-08-25,06:08:17 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-25,06:08:17 | INFO | [Epoch 10] Average Step Time: 0.701s | Average GPU Memory: 43.4 GB
2025-08-25,06:08:17 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-25,06:08:17 | INFO | Starting zero-shot imagenet.
2025-08-25,06:08:17 | INFO | Building zero-shot classifier
2025-08-25,06:08:26 | INFO | Using classifier
2025-08-25,06:09:09 | INFO | Finished zero-shot imagenet.
2025-08-25,06:09:09 | INFO | Eval Epoch: 11 imagenet-zeroshot-val-top1: 0.3205	imagenet-zeroshot-val-top5: 0.5904
2025-08-25,06:09:10 | INFO | Start epoch 11
2025-08-25,06:09:13 | INFO | Train Epoch: 11 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096182 (0.096182) Loss: 0.096182 (0.096182)
2025-08-25,06:10:22 | INFO | Train Epoch: 11 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11427 (0.10523) Loss: 0.11427 (0.10523)
2025-08-25,06:11:32 | INFO | Train Epoch: 11 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13613 (0.11553) Loss: 0.13613 (0.11553)
2025-08-25,06:12:41 | INFO | Train Epoch: 11 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090703 (0.10932) Loss: 0.090703 (0.10932)
2025-08-25,06:13:51 | INFO | Train Epoch: 11 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12058 (0.11157) Loss: 0.12058 (0.11157)
2025-08-25,06:15:00 | INFO | Train Epoch: 11 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12108 (0.11316) Loss: 0.12108 (0.11316)
2025-08-25,06:16:10 | INFO | Train Epoch: 11 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10803 (0.11243) Loss: 0.10803 (0.11243)
2025-08-25,06:17:19 | INFO | Train Epoch: 11 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066071 (0.10663) Loss: 0.066071 (0.10663)
2025-08-25,06:18:29 | INFO | Train Epoch: 11 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11833 (0.10793) Loss: 0.11833 (0.10793)
2025-08-25,06:19:38 | INFO | Train Epoch: 11 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10191 (0.10733) Loss: 0.10191 (0.10733)
2025-08-25,06:20:48 | INFO | Train Epoch: 11 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10799 (0.10739) Loss: 0.10799 (0.10739)
2025-08-25,06:21:58 | INFO | Train Epoch: 11 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088945 (0.10585) Loss: 0.088945 (0.10585)
2025-08-25,06:23:07 | INFO | Train Epoch: 11 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14106 (0.10856) Loss: 0.14106 (0.10856)
2025-08-25,06:24:17 | INFO | Train Epoch: 11 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074261 (0.10611) Loss: 0.074261 (0.10611)
2025-08-25,06:25:26 | INFO | Train Epoch: 11 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10643 (0.10613) Loss: 0.10643 (0.10613)
2025-08-25,06:26:36 | INFO | Train Epoch: 11 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10869 (0.10629) Loss: 0.10869 (0.10629)
2025-08-25,06:27:45 | INFO | Train Epoch: 11 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11101 (0.10657) Loss: 0.11101 (0.10657)
2025-08-25,06:28:55 | INFO | Train Epoch: 11 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064160 (0.10421) Loss: 0.064160 (0.10421)
2025-08-25,06:30:05 | INFO | Train Epoch: 11 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097314 (0.10385) Loss: 0.097314 (0.10385)
2025-08-25,06:31:14 | INFO | Train Epoch: 11 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088225 (0.10307) Loss: 0.088225 (0.10307)
2025-08-25,06:32:24 | INFO | Train Epoch: 11 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090169 (0.10246) Loss: 0.090169 (0.10246)
2025-08-25,06:33:34 | INFO | Train Epoch: 11 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099826 (0.10234) Loss: 0.099826 (0.10234)
2025-08-25,06:34:43 | INFO | Train Epoch: 11 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11160 (0.10274) Loss: 0.11160 (0.10274)
2025-08-25,06:35:53 | INFO | Train Epoch: 11 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11163 (0.10311) Loss: 0.11163 (0.10311)
2025-08-25,06:37:03 | INFO | Train Epoch: 11 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12567 (0.10401) Loss: 0.12567 (0.10401)
2025-08-25,06:38:12 | INFO | Train Epoch: 11 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092705 (0.10358) Loss: 0.092705 (0.10358)
2025-08-25,06:39:22 | INFO | Train Epoch: 11 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083080 (0.10282) Loss: 0.083080 (0.10282)
2025-08-25,06:40:31 | INFO | Train Epoch: 11 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10379 (0.10285) Loss: 0.10379 (0.10285)
2025-08-25,06:41:41 | INFO | Train Epoch: 11 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10876 (0.10306) Loss: 0.10876 (0.10306)
2025-08-25,06:42:50 | INFO | Train Epoch: 11 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10183 (0.10301) Loss: 0.10183 (0.10301)
2025-08-25,06:44:00 | INFO | Train Epoch: 11 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11282 (0.10333) Loss: 0.11282 (0.10333)
2025-08-25,06:45:10 | INFO | Train Epoch: 11 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13143 (0.10421) Loss: 0.13143 (0.10421)
2025-08-25,06:46:19 | INFO | Train Epoch: 11 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088536 (0.10373) Loss: 0.088536 (0.10373)
2025-08-25,06:47:29 | INFO | Train Epoch: 11 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11380 (0.10403) Loss: 0.11380 (0.10403)
2025-08-25,06:48:38 | INFO | Train Epoch: 11 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10701 (0.10412) Loss: 0.10701 (0.10412)
2025-08-25,06:49:48 | INFO | Train Epoch: 11 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10290 (0.10408) Loss: 0.10290 (0.10408)
2025-08-25,06:50:58 | INFO | Train Epoch: 11 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11698 (0.10443) Loss: 0.11698 (0.10443)
2025-08-25,06:52:07 | INFO | Train Epoch: 11 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12202 (0.10489) Loss: 0.12202 (0.10489)
2025-08-25,06:53:17 | INFO | Train Epoch: 11 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098514 (0.10473) Loss: 0.098514 (0.10473)
2025-08-25,06:54:27 | INFO | Train Epoch: 11 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094645 (0.10448) Loss: 0.094645 (0.10448)
2025-08-25,06:55:36 | INFO | Train Epoch: 11 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13668 (0.10526) Loss: 0.13668 (0.10526)
2025-08-25,06:56:46 | INFO | Train Epoch: 11 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11690 (0.10554) Loss: 0.11690 (0.10554)
2025-08-25,06:57:56 | INFO | Train Epoch: 11 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083488 (0.10503) Loss: 0.083488 (0.10503)
2025-08-25,06:59:05 | INFO | Train Epoch: 11 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086372 (0.10460) Loss: 0.086372 (0.10460)
2025-08-25,07:00:15 | INFO | Train Epoch: 11 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065801 (0.10374) Loss: 0.065801 (0.10374)
2025-08-25,07:01:25 | INFO | Train Epoch: 11 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11673 (0.10402) Loss: 0.11673 (0.10402)
2025-08-25,07:02:34 | INFO | Train Epoch: 11 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12004 (0.10436) Loss: 0.12004 (0.10436)
2025-08-25,07:03:44 | INFO | Train Epoch: 11 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093352 (0.10413) Loss: 0.093352 (0.10413)
2025-08-25,07:04:53 | INFO | Train Epoch: 11 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13320 (0.10473) Loss: 0.13320 (0.10473)
2025-08-25,07:06:03 | INFO | Train Epoch: 11 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10714 (0.10478) Loss: 0.10714 (0.10478)
2025-08-25,07:07:13 | INFO | Train Epoch: 11 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097101 (0.10463) Loss: 0.097101 (0.10463)
2025-08-25,07:08:22 | INFO | Train Epoch: 11 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096817 (0.10448) Loss: 0.096817 (0.10448)
2025-08-25,07:09:32 | INFO | Train Epoch: 11 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13001 (0.10496) Loss: 0.13001 (0.10496)
2025-08-25,07:10:42 | INFO | Train Epoch: 11 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10825 (0.10502) Loss: 0.10825 (0.10502)
2025-08-25,07:11:51 | INFO | Train Epoch: 11 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10900 (0.10509) Loss: 0.10900 (0.10509)
2025-08-25,07:13:01 | INFO | Train Epoch: 11 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057408 (0.10424) Loss: 0.057408 (0.10424)
2025-08-25,07:14:10 | INFO | Train Epoch: 11 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091549 (0.10402) Loss: 0.091549 (0.10402)
2025-08-25,07:15:20 | INFO | Train Epoch: 11 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082004 (0.10364) Loss: 0.082004 (0.10364)
2025-08-25,07:16:30 | INFO | Train Epoch: 11 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10677 (0.10369) Loss: 0.10677 (0.10369)
2025-08-25,07:17:39 | INFO | Train Epoch: 11 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10036 (0.10363) Loss: 0.10036 (0.10363)
2025-08-25,07:18:49 | INFO | Train Epoch: 11 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10222 (0.10361) Loss: 0.10222 (0.10361)
2025-08-25,07:19:59 | INFO | Train Epoch: 11 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069286 (0.10306) Loss: 0.069286 (0.10306)
2025-08-25,07:21:08 | INFO | Train Epoch: 11 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061039 (0.10239) Loss: 0.061039 (0.10239)
2025-08-25,07:22:18 | INFO | Train Epoch: 11 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070878 (0.10190) Loss: 0.070878 (0.10190)
2025-08-25,07:23:28 | INFO | Train Epoch: 11 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12205 (0.10221) Loss: 0.12205 (0.10221)
2025-08-25,07:24:37 | INFO | Train Epoch: 11 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094140 (0.10209) Loss: 0.094140 (0.10209)
2025-08-25,07:25:47 | INFO | Train Epoch: 11 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10226 (0.10209) Loss: 0.10226 (0.10209)
2025-08-25,07:26:57 | INFO | Train Epoch: 11 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094137 (0.10197) Loss: 0.094137 (0.10197)
2025-08-25,07:28:06 | INFO | Train Epoch: 11 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090141 (0.10180) Loss: 0.090141 (0.10180)
2025-08-25,07:29:16 | INFO | Train Epoch: 11 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11958 (0.10205) Loss: 0.11958 (0.10205)
2025-08-25,07:30:26 | INFO | Train Epoch: 11 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10312 (0.10207) Loss: 0.10312 (0.10207)
2025-08-25,07:31:36 | INFO | Train Epoch: 11 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10375 (0.10209) Loss: 0.10375 (0.10209)
2025-08-25,07:32:45 | INFO | Train Epoch: 11 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078768 (0.10177) Loss: 0.078768 (0.10177)
2025-08-25,07:33:55 | INFO | Train Epoch: 11 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12906 (0.10214) Loss: 0.12906 (0.10214)
2025-08-25,07:35:05 | INFO | Train Epoch: 11 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094214 (0.10204) Loss: 0.094214 (0.10204)
2025-08-25,07:36:14 | INFO | Train Epoch: 11 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10780 (0.10211) Loss: 0.10780 (0.10211)
2025-08-25,07:37:24 | INFO | Train Epoch: 11 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10098 (0.10210) Loss: 0.10098 (0.10210)
2025-08-25,07:38:34 | INFO | Train Epoch: 11 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089061 (0.10193) Loss: 0.089061 (0.10193)
2025-08-25,07:39:43 | INFO | Train Epoch: 11 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10794 (0.10201) Loss: 0.10794 (0.10201)
2025-08-25,07:40:53 | INFO | Train Epoch: 11 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10160 (0.10200) Loss: 0.10160 (0.10200)
2025-08-25,07:42:03 | INFO | Train Epoch: 11 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14032 (0.10247) Loss: 0.14032 (0.10247)
2025-08-25,07:43:12 | INFO | Train Epoch: 11 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068466 (0.10206) Loss: 0.068466 (0.10206)
2025-08-25,07:44:22 | INFO | Train Epoch: 11 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063261 (0.10159) Loss: 0.063261 (0.10159)
2025-08-25,07:45:32 | INFO | Train Epoch: 11 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12585 (0.10188) Loss: 0.12585 (0.10188)
2025-08-25,07:46:42 | INFO | Train Epoch: 11 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093788 (0.10179) Loss: 0.093788 (0.10179)
2025-08-25,07:47:51 | INFO | Train Epoch: 11 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11500 (0.10194) Loss: 0.11500 (0.10194)
2025-08-25,07:49:01 | INFO | Train Epoch: 11 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082337 (0.10171) Loss: 0.082337 (0.10171)
2025-08-25,07:50:11 | INFO | Train Epoch: 11 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10670 (0.10177) Loss: 0.10670 (0.10177)
2025-08-25,07:51:21 | INFO | Train Epoch: 11 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14681 (0.10228) Loss: 0.14681 (0.10228)
2025-08-25,07:52:30 | INFO | Train Epoch: 11 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064829 (0.10186) Loss: 0.064829 (0.10186)
2025-08-25,07:53:40 | INFO | Train Epoch: 11 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11449 (0.10200) Loss: 0.11449 (0.10200)
2025-08-25,07:54:50 | INFO | Train Epoch: 11 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10686 (0.10205) Loss: 0.10686 (0.10205)
2025-08-25,07:55:59 | INFO | Train Epoch: 11 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087856 (0.10190) Loss: 0.087856 (0.10190)
2025-08-25,07:57:09 | INFO | Train Epoch: 11 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086509 (0.10174) Loss: 0.086509 (0.10174)
2025-08-25,07:58:19 | INFO | Train Epoch: 11 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074452 (0.10145) Loss: 0.074452 (0.10145)
2025-08-25,07:59:29 | INFO | Train Epoch: 11 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12600 (0.10170) Loss: 0.12600 (0.10170)
2025-08-25,08:00:38 | INFO | Train Epoch: 11 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14358 (0.10214) Loss: 0.14358 (0.10214)
2025-08-25,08:01:48 | INFO | Train Epoch: 11 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076343 (0.10187) Loss: 0.076343 (0.10187)
2025-08-25,08:02:58 | INFO | Train Epoch: 11 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10008 (0.10185) Loss: 0.10008 (0.10185)
2025-08-25,08:04:08 | INFO | Train Epoch: 11 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079642 (0.10163) Loss: 0.079642 (0.10163)
2025-08-25,08:05:17 | INFO | Train Epoch: 11 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10527 (0.10167) Loss: 0.10527 (0.10167)
2025-08-25,08:06:27 | INFO | Train Epoch: 11 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093827 (0.10159) Loss: 0.093827 (0.10159)
2025-08-25,08:07:37 | INFO | Train Epoch: 11 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14753 (0.10204) Loss: 0.14753 (0.10204)
2025-08-25,08:08:46 | INFO | Train Epoch: 11 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099827 (0.10202) Loss: 0.099827 (0.10202)
2025-08-25,08:09:56 | INFO | Train Epoch: 11 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12599 (0.10224) Loss: 0.12599 (0.10224)
2025-08-25,08:11:06 | INFO | Train Epoch: 11 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091991 (0.10215) Loss: 0.091991 (0.10215)
2025-08-25,08:12:15 | INFO | Train Epoch: 11 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085662 (0.10199) Loss: 0.085662 (0.10199)
2025-08-25,08:13:25 | INFO | Train Epoch: 11 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11289 (0.10209) Loss: 0.11289 (0.10209)
2025-08-25,08:14:35 | INFO | Train Epoch: 11 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10991 (0.10217) Loss: 0.10991 (0.10217)
2025-08-25,08:15:44 | INFO | Train Epoch: 11 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11088 (0.10225) Loss: 0.11088 (0.10225)
2025-08-25,08:16:54 | INFO | Train Epoch: 11 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067718 (0.10193) Loss: 0.067718 (0.10193)
2025-08-25,08:18:04 | INFO | Train Epoch: 11 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12489 (0.10214) Loss: 0.12489 (0.10214)
2025-08-25,08:19:14 | INFO | Train Epoch: 11 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11315 (0.10224) Loss: 0.11315 (0.10224)
2025-08-25,08:20:24 | INFO | Train Epoch: 11 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15034 (0.10266) Loss: 0.15034 (0.10266)
2025-08-25,08:21:33 | INFO | Train Epoch: 11 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083996 (0.10250) Loss: 0.083996 (0.10250)
2025-08-25,08:22:43 | INFO | Train Epoch: 11 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073945 (0.10225) Loss: 0.073945 (0.10225)
2025-08-25,08:23:53 | INFO | Train Epoch: 11 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090629 (0.10215) Loss: 0.090629 (0.10215)
2025-08-25,08:25:02 | INFO | Train Epoch: 11 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090906 (0.10206) Loss: 0.090906 (0.10206)
2025-08-25,08:26:12 | INFO | Train Epoch: 11 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10698 (0.10210) Loss: 0.10698 (0.10210)
2025-08-25,08:27:22 | INFO | Train Epoch: 11 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10006 (0.10208) Loss: 0.10006 (0.10208)
2025-08-25,08:28:32 | INFO | Train Epoch: 11 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073963 (0.10185) Loss: 0.073963 (0.10185)
2025-08-25,08:29:41 | INFO | Train Epoch: 11 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094250 (0.10179) Loss: 0.094250 (0.10179)
2025-08-25,08:30:51 | INFO | Train Epoch: 11 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082730 (0.10163) Loss: 0.082730 (0.10163)
2025-08-25,08:32:01 | INFO | Train Epoch: 11 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10064 (0.10162) Loss: 0.10064 (0.10162)
2025-08-25,08:33:10 | INFO | Train Epoch: 11 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10612 (0.10166) Loss: 0.10612 (0.10166)
2025-08-25,08:34:20 | INFO | Train Epoch: 11 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081621 (0.10150) Loss: 0.081621 (0.10150)
2025-08-25,08:35:30 | INFO | Train Epoch: 11 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14765 (0.10186) Loss: 0.14765 (0.10186)
2025-08-25,08:36:39 | INFO | Train Epoch: 11 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078265 (0.10168) Loss: 0.078265 (0.10168)
2025-08-25,08:37:49 | INFO | Train Epoch: 11 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12302 (0.10184) Loss: 0.12302 (0.10184)
2025-08-25,08:38:59 | INFO | Train Epoch: 11 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13798 (0.10212) Loss: 0.13798 (0.10212)
2025-08-25,08:40:08 | INFO | Train Epoch: 11 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13175 (0.10235) Loss: 0.13175 (0.10235)
2025-08-25,08:41:18 | INFO | Train Epoch: 11 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087612 (0.10224) Loss: 0.087612 (0.10224)
2025-08-25,08:42:28 | INFO | Train Epoch: 11 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10454 (0.10225) Loss: 0.10454 (0.10225)
2025-08-25,08:43:37 | INFO | Train Epoch: 11 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14032 (0.10254) Loss: 0.14032 (0.10254)
2025-08-25,08:44:47 | INFO | Train Epoch: 11 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10204 (0.10253) Loss: 0.10204 (0.10253)
2025-08-25,08:45:57 | INFO | Train Epoch: 11 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043455 (0.10210) Loss: 0.043455 (0.10210)
2025-08-25,08:47:07 | INFO | Train Epoch: 11 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12647 (0.10228) Loss: 0.12647 (0.10228)
2025-08-25,08:48:16 | INFO | Train Epoch: 11 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13344 (0.10250) Loss: 0.13344 (0.10250)
2025-08-25,08:49:26 | INFO | Train Epoch: 11 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093423 (0.10244) Loss: 0.093423 (0.10244)
2025-08-25,08:50:36 | INFO | Train Epoch: 11 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12537 (0.10260) Loss: 0.12537 (0.10260)
2025-08-25,08:51:46 | INFO | Train Epoch: 11 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11279 (0.10267) Loss: 0.11279 (0.10267)
2025-08-25,08:52:55 | INFO | Train Epoch: 11 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13334 (0.10289) Loss: 0.13334 (0.10289)
2025-08-25,08:54:05 | INFO | Train Epoch: 11 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056246 (0.10256) Loss: 0.056246 (0.10256)
2025-08-25,08:55:15 | INFO | Train Epoch: 11 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078041 (0.10239) Loss: 0.078041 (0.10239)
2025-08-25,08:56:25 | INFO | Train Epoch: 11 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079186 (0.10223) Loss: 0.079186 (0.10223)
2025-08-25,08:57:35 | INFO | Train Epoch: 11 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12008 (0.10236) Loss: 0.12008 (0.10236)
2025-08-25,08:58:44 | INFO | Train Epoch: 11 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097728 (0.10232) Loss: 0.097728 (0.10232)
2025-08-25,08:59:54 | INFO | Train Epoch: 11 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093228 (0.10226) Loss: 0.093228 (0.10226)
2025-08-25,09:01:04 | INFO | Train Epoch: 11 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10126 (0.10226) Loss: 0.10126 (0.10226)
2025-08-25,09:02:13 | INFO | Train Epoch: 11 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10423 (0.10227) Loss: 0.10423 (0.10227)
2025-08-25,09:03:23 | INFO | Train Epoch: 11 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072410 (0.10207) Loss: 0.072410 (0.10207)
2025-08-25,09:04:33 | INFO | Train Epoch: 11 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097473 (0.10204) Loss: 0.097473 (0.10204)
2025-08-25,09:05:42 | INFO | Train Epoch: 11 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096583 (0.10201) Loss: 0.096583 (0.10201)
2025-08-25,09:06:52 | INFO | Train Epoch: 11 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10120 (0.10200) Loss: 0.10120 (0.10200)
2025-08-25,09:08:02 | INFO | Train Epoch: 11 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092815 (0.10194) Loss: 0.092815 (0.10194)
2025-08-25,09:09:12 | INFO | Train Epoch: 11 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11415 (0.10202) Loss: 0.11415 (0.10202)
2025-08-25,09:10:22 | INFO | Train Epoch: 11 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087616 (0.10193) Loss: 0.087616 (0.10193)
2025-08-25,09:11:31 | INFO | Train Epoch: 11 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087595 (0.10184) Loss: 0.087595 (0.10184)
2025-08-25,09:12:41 | INFO | Train Epoch: 11 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10464 (0.10185) Loss: 0.10464 (0.10185)
2025-08-25,09:13:51 | INFO | Train Epoch: 11 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10313 (0.10186) Loss: 0.10313 (0.10186)
2025-08-25,09:15:01 | INFO | Train Epoch: 11 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085272 (0.10176) Loss: 0.085272 (0.10176)
2025-08-25,09:16:10 | INFO | Train Epoch: 11 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11294 (0.10183) Loss: 0.11294 (0.10183)
2025-08-25,09:17:20 | INFO | Train Epoch: 11 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10538 (0.10185) Loss: 0.10538 (0.10185)
2025-08-25,09:18:29 | INFO | Train Epoch: 11 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091880 (0.10179) Loss: 0.091880 (0.10179)
2025-08-25,09:19:39 | INFO | Train Epoch: 11 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082881 (0.10168) Loss: 0.082881 (0.10168)
2025-08-25,09:20:49 | INFO | Train Epoch: 11 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10223 (0.10168) Loss: 0.10223 (0.10168)
2025-08-25,09:21:58 | INFO | Train Epoch: 11 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093268 (0.10163) Loss: 0.093268 (0.10163)
2025-08-25,09:23:08 | INFO | Train Epoch: 11 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12740 (0.10178) Loss: 0.12740 (0.10178)
2025-08-25,09:24:18 | INFO | Train Epoch: 11 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076796 (0.10163) Loss: 0.076796 (0.10163)
2025-08-25,09:25:28 | INFO | Train Epoch: 11 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076051 (0.10148) Loss: 0.076051 (0.10148)
2025-08-25,09:26:37 | INFO | Train Epoch: 11 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052047 (0.10119) Loss: 0.052047 (0.10119)
2025-08-25,09:27:47 | INFO | Train Epoch: 11 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11625 (0.10128) Loss: 0.11625 (0.10128)
2025-08-25,09:28:57 | INFO | Train Epoch: 11 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078809 (0.10115) Loss: 0.078809 (0.10115)
2025-08-25,09:30:07 | INFO | Train Epoch: 11 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12839 (0.10131) Loss: 0.12839 (0.10131)
2025-08-25,09:31:16 | INFO | Train Epoch: 11 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10218 (0.10131) Loss: 0.10218 (0.10131)
2025-08-25,09:32:26 | INFO | Train Epoch: 11 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078815 (0.10119) Loss: 0.078815 (0.10119)
2025-08-25,09:33:36 | INFO | Train Epoch: 11 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10191 (0.10119) Loss: 0.10191 (0.10119)
2025-08-25,09:34:45 | INFO | Train Epoch: 11 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.095822 (0.10116) Loss: 0.095822 (0.10116)
2025-08-25,09:35:55 | INFO | Train Epoch: 11 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062858 (0.10095) Loss: 0.062858 (0.10095)
2025-08-25,09:37:05 | INFO | Train Epoch: 11 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090327 (0.10089) Loss: 0.090327 (0.10089)
2025-08-25,09:38:14 | INFO | Train Epoch: 11 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14913 (0.10115) Loss: 0.14913 (0.10115)
2025-08-25,09:39:24 | INFO | Train Epoch: 11 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091679 (0.10110) Loss: 0.091679 (0.10110)
2025-08-25,09:40:34 | INFO | Train Epoch: 11 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11176 (0.10116) Loss: 0.11176 (0.10116)
2025-08-25,09:41:43 | INFO | Train Epoch: 11 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098618 (0.10115) Loss: 0.098618 (0.10115)
2025-08-25,09:42:53 | INFO | Train Epoch: 11 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089090 (0.10108) Loss: 0.089090 (0.10108)
2025-08-25,09:44:03 | INFO | Train Epoch: 11 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074530 (0.10094) Loss: 0.074530 (0.10094)
2025-08-25,09:45:12 | INFO | Train Epoch: 11 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086334 (0.10086) Loss: 0.086334 (0.10086)
2025-08-25,09:46:22 | INFO | Train Epoch: 11 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074978 (0.10072) Loss: 0.074978 (0.10072)
2025-08-25,09:47:32 | INFO | Train Epoch: 11 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11016 (0.10077) Loss: 0.11016 (0.10077)
2025-08-25,09:48:41 | INFO | Train Epoch: 11 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11004 (0.10082) Loss: 0.11004 (0.10082)
2025-08-25,09:49:51 | INFO | Train Epoch: 11 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091604 (0.10077) Loss: 0.091604 (0.10077)
2025-08-25,09:51:01 | INFO | Train Epoch: 11 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091451 (0.10072) Loss: 0.091451 (0.10072)
2025-08-25,09:52:11 | INFO | Train Epoch: 11 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10557 (0.10075) Loss: 0.10557 (0.10075)
2025-08-25,09:53:21 | INFO | Train Epoch: 11 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075510 (0.10062) Loss: 0.075510 (0.10062)
2025-08-25,09:54:30 | INFO | Train Epoch: 11 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11923 (0.10071) Loss: 0.11923 (0.10071)
2025-08-25,09:55:40 | INFO | Train Epoch: 11 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099869 (0.10071) Loss: 0.099869 (0.10071)
2025-08-25,09:56:50 | INFO | Train Epoch: 11 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11523 (0.10078) Loss: 0.11523 (0.10078)
2025-08-25,09:58:00 | INFO | Train Epoch: 11 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10625 (0.10081) Loss: 0.10625 (0.10081)
2025-08-25,09:59:09 | INFO | Train Epoch: 11 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087373 (0.10074) Loss: 0.087373 (0.10074)
2025-08-25,10:00:19 | INFO | Train Epoch: 11 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094683 (0.10071) Loss: 0.094683 (0.10071)
2025-08-25,10:01:29 | INFO | Train Epoch: 11 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10946 (0.10076) Loss: 0.10946 (0.10076)
2025-08-25,10:02:39 | INFO | Train Epoch: 11 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072233 (0.10062) Loss: 0.072233 (0.10062)
2025-08-25,10:03:49 | INFO | Train Epoch: 11 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089271 (0.10056) Loss: 0.089271 (0.10056)
2025-08-25,10:04:58 | INFO | Train Epoch: 11 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082321 (0.10047) Loss: 0.082321 (0.10047)
2025-08-25,10:06:08 | INFO | Train Epoch: 11 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10405 (0.10049) Loss: 0.10405 (0.10049)
2025-08-25,10:07:18 | INFO | Train Epoch: 11 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086810 (0.10042) Loss: 0.086810 (0.10042)
2025-08-25,10:08:28 | INFO | Train Epoch: 11 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097360 (0.10041) Loss: 0.097360 (0.10041)
2025-08-25,10:09:37 | INFO | Train Epoch: 11 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094888 (0.10038) Loss: 0.094888 (0.10038)
2025-08-25,10:10:47 | INFO | Train Epoch: 11 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087108 (0.10032) Loss: 0.087108 (0.10032)
2025-08-25,10:11:57 | INFO | Train Epoch: 11 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10118 (0.10032) Loss: 0.10118 (0.10032)
2025-08-25,10:13:07 | INFO | Train Epoch: 11 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12015 (0.10041) Loss: 0.12015 (0.10041)
2025-08-25,10:14:16 | INFO | Train Epoch: 11 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057984 (0.10021) Loss: 0.057984 (0.10021)
2025-08-25,10:15:26 | INFO | Train Epoch: 11 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10077 (0.10022) Loss: 0.10077 (0.10022)
2025-08-25,10:16:36 | INFO | Train Epoch: 11 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10732 (0.10025) Loss: 0.10732 (0.10025)
2025-08-25,10:17:46 | INFO | Train Epoch: 11 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091502 (0.10021) Loss: 0.091502 (0.10021)
2025-08-25,10:18:55 | INFO | Train Epoch: 11 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097650 (0.10020) Loss: 0.097650 (0.10020)
2025-08-25,10:20:05 | INFO | Train Epoch: 11 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11771 (0.10028) Loss: 0.11771 (0.10028)
2025-08-25,10:21:15 | INFO | Train Epoch: 11 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089249 (0.10023) Loss: 0.089249 (0.10023)
2025-08-25,10:22:24 | INFO | Train Epoch: 11 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064434 (0.10006) Loss: 0.064434 (0.10006)
2025-08-25,10:23:34 | INFO | Train Epoch: 11 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090112 (0.10002) Loss: 0.090112 (0.10002)
2025-08-25,10:24:44 | INFO | Train Epoch: 11 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10314 (0.10003) Loss: 0.10314 (0.10003)
2025-08-25,10:25:54 | INFO | Train Epoch: 11 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13473 (0.10019) Loss: 0.13473 (0.10019)
2025-08-25,10:27:04 | INFO | Train Epoch: 11 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092037 (0.10015) Loss: 0.092037 (0.10015)
2025-08-25,10:28:14 | INFO | Train Epoch: 11 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12579 (0.10027) Loss: 0.12579 (0.10027)
2025-08-25,10:29:23 | INFO | Train Epoch: 11 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10447 (0.10029) Loss: 0.10447 (0.10029)
2025-08-25,10:30:33 | INFO | Train Epoch: 11 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11721 (0.10036) Loss: 0.11721 (0.10036)
2025-08-25,10:31:43 | INFO | Train Epoch: 11 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091306 (0.10032) Loss: 0.091306 (0.10032)
2025-08-25,10:32:53 | INFO | Train Epoch: 11 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086862 (0.10026) Loss: 0.086862 (0.10026)
2025-08-25,10:34:03 | INFO | Train Epoch: 11 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085367 (0.10020) Loss: 0.085367 (0.10020)
2025-08-25,10:35:12 | INFO | Train Epoch: 11 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13248 (0.10034) Loss: 0.13248 (0.10034)
2025-08-25,10:36:22 | INFO | Train Epoch: 11 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10255 (0.10035) Loss: 0.10255 (0.10035)
2025-08-25,10:37:32 | INFO | Train Epoch: 11 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072066 (0.10023) Loss: 0.072066 (0.10023)
2025-08-25,10:38:41 | INFO | Train Epoch: 11 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092262 (0.10019) Loss: 0.092262 (0.10019)
2025-08-25,10:39:51 | INFO | Train Epoch: 11 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11574 (0.10026) Loss: 0.11574 (0.10026)
2025-08-25,10:41:01 | INFO | Train Epoch: 11 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098627 (0.10025) Loss: 0.098627 (0.10025)
2025-08-25,10:42:11 | INFO | Train Epoch: 11 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062076 (0.10009) Loss: 0.062076 (0.10009)
2025-08-25,10:43:20 | INFO | Train Epoch: 11 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11289 (0.10014) Loss: 0.11289 (0.10014)
2025-08-25,10:44:30 | INFO | Train Epoch: 11 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088990 (0.10010) Loss: 0.088990 (0.10010)
2025-08-25,10:45:40 | INFO | Train Epoch: 11 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10606 (0.10012) Loss: 0.10606 (0.10012)
2025-08-25,10:46:49 | INFO | Train Epoch: 11 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094930 (0.10010) Loss: 0.094930 (0.10010)
2025-08-25,10:47:59 | INFO | Train Epoch: 11 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12153 (0.10019) Loss: 0.12153 (0.10019)
2025-08-25,10:49:09 | INFO | Train Epoch: 11 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10942 (0.10023) Loss: 0.10942 (0.10023)
2025-08-25,10:50:18 | INFO | Train Epoch: 11 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077542 (0.10013) Loss: 0.077542 (0.10013)
2025-08-25,10:51:28 | INFO | Train Epoch: 11 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12436 (0.10023) Loss: 0.12436 (0.10023)
2025-08-25,10:52:38 | INFO | Train Epoch: 11 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11809 (0.10031) Loss: 0.11809 (0.10031)
2025-08-25,10:53:48 | INFO | Train Epoch: 11 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080249 (0.10022) Loss: 0.080249 (0.10022)
2025-08-25,10:54:57 | INFO | Train Epoch: 11 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10270 (0.10023) Loss: 0.10270 (0.10023)
2025-08-25,10:56:07 | INFO | Train Epoch: 11 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15651 (0.10046) Loss: 0.15651 (0.10046)
2025-08-25,10:57:17 | INFO | Train Epoch: 11 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10403 (0.10047) Loss: 0.10403 (0.10047)
2025-08-25,10:58:27 | INFO | Train Epoch: 11 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089135 (0.10043) Loss: 0.089135 (0.10043)
2025-08-25,10:59:36 | INFO | Train Epoch: 11 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083923 (0.10036) Loss: 0.083923 (0.10036)
2025-08-25,11:00:46 | INFO | Train Epoch: 11 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078861 (0.10028) Loss: 0.078861 (0.10028)
2025-08-25,11:01:56 | INFO | Train Epoch: 11 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075540 (0.10018) Loss: 0.075540 (0.10018)
2025-08-25,11:03:05 | INFO | Train Epoch: 11 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11340 (0.10023) Loss: 0.11340 (0.10023)
2025-08-25,11:04:15 | INFO | Train Epoch: 11 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091264 (0.10020) Loss: 0.091264 (0.10020)
2025-08-25,11:05:25 | INFO | Train Epoch: 11 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10538 (0.10022) Loss: 0.10538 (0.10022)
2025-08-25,11:06:34 | INFO | Train Epoch: 11 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10396 (0.10023) Loss: 0.10396 (0.10023)
2025-08-25,11:07:44 | INFO | Train Epoch: 11 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085626 (0.10018) Loss: 0.085626 (0.10018)
2025-08-25,11:08:54 | INFO | Train Epoch: 11 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13140 (0.10030) Loss: 0.13140 (0.10030)
2025-08-25,11:10:04 | INFO | Train Epoch: 11 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093015 (0.10027) Loss: 0.093015 (0.10027)
2025-08-25,11:11:13 | INFO | Train Epoch: 11 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10689 (0.10029) Loss: 0.10689 (0.10029)
2025-08-25,11:12:23 | INFO | Train Epoch: 11 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12734 (0.10040) Loss: 0.12734 (0.10040)
2025-08-25,11:13:33 | INFO | Train Epoch: 11 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11957 (0.10047) Loss: 0.11957 (0.10047)
2025-08-25,11:14:43 | INFO | Train Epoch: 11 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094327 (0.10045) Loss: 0.094327 (0.10045)
2025-08-25,11:15:52 | INFO | Train Epoch: 11 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086676 (0.10039) Loss: 0.086676 (0.10039)
2025-08-25,11:17:02 | INFO | Train Epoch: 11 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10773 (0.10042) Loss: 0.10773 (0.10042)
2025-08-25,11:18:12 | INFO | Train Epoch: 11 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12403 (0.10051) Loss: 0.12403 (0.10051)
2025-08-25,11:19:22 | INFO | Train Epoch: 11 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10261 (0.10052) Loss: 0.10261 (0.10052)
2025-08-25,11:20:31 | INFO | Train Epoch: 11 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10561 (0.10054) Loss: 0.10561 (0.10054)
2025-08-25,11:21:41 | INFO | Train Epoch: 11 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098394 (0.10053) Loss: 0.098394 (0.10053)
2025-08-25,11:22:51 | INFO | Train Epoch: 11 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10468 (0.10054) Loss: 0.10468 (0.10054)
2025-08-25,11:24:01 | INFO | Train Epoch: 11 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11403 (0.10059) Loss: 0.11403 (0.10059)
2025-08-25,11:25:11 | INFO | Train Epoch: 11 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10151 (0.10060) Loss: 0.10151 (0.10060)
2025-08-25,11:26:20 | INFO | Train Epoch: 11 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11152 (0.10064) Loss: 0.11152 (0.10064)
2025-08-25,11:27:30 | INFO | Train Epoch: 11 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12274 (0.10072) Loss: 0.12274 (0.10072)
2025-08-25,11:28:40 | INFO | Train Epoch: 11 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074913 (0.10062) Loss: 0.074913 (0.10062)
2025-08-25,11:29:50 | INFO | Train Epoch: 11 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090780 (0.10059) Loss: 0.090780 (0.10059)
2025-08-25,11:30:59 | INFO | Train Epoch: 11 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074559 (0.10050) Loss: 0.074559 (0.10050)
2025-08-25,11:32:09 | INFO | Train Epoch: 11 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11680 (0.10055) Loss: 0.11680 (0.10055)
2025-08-25,11:33:19 | INFO | Train Epoch: 11 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090894 (0.10052) Loss: 0.090894 (0.10052)
2025-08-25,11:34:28 | INFO | Train Epoch: 11 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082661 (0.10046) Loss: 0.082661 (0.10046)
2025-08-25,11:35:38 | INFO | Train Epoch: 11 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13109 (0.10056) Loss: 0.13109 (0.10056)
2025-08-25,11:36:48 | INFO | Train Epoch: 11 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098653 (0.10056) Loss: 0.098653 (0.10056)
2025-08-25,11:37:58 | INFO | Train Epoch: 11 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11218 (0.10060) Loss: 0.11218 (0.10060)
2025-08-25,11:39:08 | INFO | Train Epoch: 11 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085551 (0.10055) Loss: 0.085551 (0.10055)
2025-08-25,11:40:18 | INFO | Train Epoch: 11 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12583 (0.10063) Loss: 0.12583 (0.10063)
2025-08-25,11:41:27 | INFO | Train Epoch: 11 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090458 (0.10060) Loss: 0.090458 (0.10060)
2025-08-25,11:42:37 | INFO | Train Epoch: 11 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082345 (0.10054) Loss: 0.082345 (0.10054)
2025-08-25,11:43:47 | INFO | Train Epoch: 11 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083630 (0.10048) Loss: 0.083630 (0.10048)
2025-08-25,11:44:57 | INFO | Train Epoch: 11 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088897 (0.10044) Loss: 0.088897 (0.10044)
2025-08-25,11:46:06 | INFO | Train Epoch: 11 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11736 (0.10049) Loss: 0.11736 (0.10049)
2025-08-25,11:47:16 | INFO | Train Epoch: 11 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085343 (0.10044) Loss: 0.085343 (0.10044)
2025-08-25,11:48:26 | INFO | Train Epoch: 11 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075432 (0.10036) Loss: 0.075432 (0.10036)
2025-08-25,11:49:36 | INFO | Train Epoch: 11 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13476 (0.10047) Loss: 0.13476 (0.10047)
2025-08-25,11:50:45 | INFO | Train Epoch: 11 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071530 (0.10038) Loss: 0.071530 (0.10038)
2025-08-25,11:51:55 | INFO | Train Epoch: 11 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088977 (0.10034) Loss: 0.088977 (0.10034)
2025-08-25,11:53:05 | INFO | Train Epoch: 11 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096227 (0.10032) Loss: 0.096227 (0.10032)
2025-08-25,11:54:15 | INFO | Train Epoch: 11 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11770 (0.10038) Loss: 0.11770 (0.10038)
2025-08-25,11:55:24 | INFO | Train Epoch: 11 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11368 (0.10043) Loss: 0.11368 (0.10043)
2025-08-25,11:56:34 | INFO | Train Epoch: 11 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072004 (0.10033) Loss: 0.072004 (0.10033)
2025-08-25,11:57:44 | INFO | Train Epoch: 11 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10066 (0.10033) Loss: 0.10066 (0.10033)
2025-08-25,11:58:53 | INFO | Train Epoch: 11 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10220 (0.10034) Loss: 0.10220 (0.10034)
2025-08-25,12:00:03 | INFO | Train Epoch: 11 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10484 (0.10035) Loss: 0.10484 (0.10035)
2025-08-25,12:01:13 | INFO | Train Epoch: 11 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084114 (0.10030) Loss: 0.084114 (0.10030)
2025-08-25,12:02:23 | INFO | Train Epoch: 11 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097576 (0.10029) Loss: 0.097576 (0.10029)
2025-08-25,12:03:32 | INFO | Train Epoch: 11 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067214 (0.10018) Loss: 0.067214 (0.10018)
2025-08-25,12:04:42 | INFO | Train Epoch: 11 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10128 (0.10019) Loss: 0.10128 (0.10019)
2025-08-25,12:05:52 | INFO | Train Epoch: 11 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11814 (0.10025) Loss: 0.11814 (0.10025)
2025-08-25,12:07:02 | INFO | Train Epoch: 11 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083020 (0.10019) Loss: 0.083020 (0.10019)
2025-08-25,12:08:11 | INFO | Train Epoch: 11 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081498 (0.10013) Loss: 0.081498 (0.10013)
2025-08-25,12:09:21 | INFO | Train Epoch: 11 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10064 (0.10013) Loss: 0.10064 (0.10013)
2025-08-25,12:10:31 | INFO | Train Epoch: 11 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10313 (0.10014) Loss: 0.10313 (0.10014)
2025-08-25,12:11:40 | INFO | Train Epoch: 11 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096434 (0.10013) Loss: 0.096434 (0.10013)
2025-08-25,12:12:50 | INFO | Train Epoch: 11 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083982 (0.10008) Loss: 0.083982 (0.10008)
2025-08-25,12:14:00 | INFO | Train Epoch: 11 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10031 (0.10008) Loss: 0.10031 (0.10008)
2025-08-25,12:15:10 | INFO | Train Epoch: 11 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11570 (0.10013) Loss: 0.11570 (0.10013)
2025-08-25,12:16:19 | INFO | Train Epoch: 11 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087850 (0.10009) Loss: 0.087850 (0.10009)
2025-08-25,12:17:29 | INFO | Train Epoch: 11 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098432 (0.10008) Loss: 0.098432 (0.10008)
2025-08-25,12:18:39 | INFO | Train Epoch: 11 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11138 (0.10012) Loss: 0.11138 (0.10012)
2025-08-25,12:19:48 | INFO | Train Epoch: 11 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085209 (0.10007) Loss: 0.085209 (0.10007)
2025-08-25,12:20:58 | INFO | Train Epoch: 11 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10202 (0.10008) Loss: 0.10202 (0.10008)
2025-08-25,12:22:08 | INFO | Train Epoch: 11 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094872 (0.10006) Loss: 0.094872 (0.10006)
2025-08-25,12:23:18 | INFO | Train Epoch: 11 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071199 (0.099973) Loss: 0.071199 (0.099973)
2025-08-25,12:24:28 | INFO | Train Epoch: 11 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10730 (0.099996) Loss: 0.10730 (0.099996)
2025-08-25,12:25:37 | INFO | Train Epoch: 11 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10582 (0.10001) Loss: 0.10582 (0.10001)
2025-08-25,12:26:47 | INFO | Train Epoch: 11 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099621 (0.10001) Loss: 0.099621 (0.10001)
2025-08-25,12:27:56 | INFO | Train Epoch: 11 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097290 (0.10000) Loss: 0.097290 (0.10000)
2025-08-25,12:29:06 | INFO | Train Epoch: 11 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13231 (0.10010) Loss: 0.13231 (0.10010)
2025-08-25,12:30:16 | INFO | Train Epoch: 11 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10511 (0.10012) Loss: 0.10511 (0.10012)
2025-08-25,12:31:25 | INFO | Train Epoch: 11 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082992 (0.10007) Loss: 0.082992 (0.10007)
2025-08-25,12:32:35 | INFO | Train Epoch: 11 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10758 (0.10009) Loss: 0.10758 (0.10009)
2025-08-25,12:33:45 | INFO | Train Epoch: 11 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10832 (0.10011) Loss: 0.10832 (0.10011)
2025-08-25,12:34:55 | INFO | Train Epoch: 11 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084455 (0.10007) Loss: 0.084455 (0.10007)
2025-08-25,12:36:04 | INFO | Train Epoch: 11 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10085 (0.10007) Loss: 0.10085 (0.10007)
2025-08-25,12:37:14 | INFO | Train Epoch: 11 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089538 (0.10004) Loss: 0.089538 (0.10004)
2025-08-25,12:38:24 | INFO | Train Epoch: 11 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076438 (0.099967) Loss: 0.076438 (0.099967)
2025-08-25,12:39:34 | INFO | Train Epoch: 11 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086651 (0.099928) Loss: 0.086651 (0.099928)
2025-08-25,12:40:43 | INFO | Train Epoch: 11 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13722 (0.10004) Loss: 0.13722 (0.10004)
2025-08-25,12:41:53 | INFO | Train Epoch: 11 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098763 (0.10003) Loss: 0.098763 (0.10003)
2025-08-25,12:43:03 | INFO | Train Epoch: 11 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11465 (0.10008) Loss: 0.11465 (0.10008)
2025-08-25,12:44:13 | INFO | Train Epoch: 11 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098887 (0.10007) Loss: 0.098887 (0.10007)
2025-08-25,12:45:22 | INFO | Train Epoch: 11 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098615 (0.10007) Loss: 0.098615 (0.10007)
2025-08-25,12:46:32 | INFO | Train Epoch: 11 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065913 (0.099970) Loss: 0.065913 (0.099970)
2025-08-25,12:47:42 | INFO | Train Epoch: 11 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10466 (0.099984) Loss: 0.10466 (0.099984)
2025-08-25,12:48:51 | INFO | Train Epoch: 11 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11350 (0.10002) Loss: 0.11350 (0.10002)
2025-08-25,12:50:01 | INFO | Train Epoch: 11 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050433 (0.099879) Loss: 0.050433 (0.099879)
2025-08-25,12:51:11 | INFO | Train Epoch: 11 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057597 (0.099758) Loss: 0.057597 (0.099758)
2025-08-25,12:52:20 | INFO | Train Epoch: 11 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091419 (0.099734) Loss: 0.091419 (0.099734)
2025-08-25,12:53:30 | INFO | Train Epoch: 11 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068844 (0.099645) Loss: 0.068844 (0.099645)
2025-08-25,12:54:40 | INFO | Train Epoch: 11 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10511 (0.099661) Loss: 0.10511 (0.099661)
2025-08-25,12:55:49 | INFO | Train Epoch: 11 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10162 (0.099666) Loss: 0.10162 (0.099666)
2025-08-25,12:56:59 | INFO | Train Epoch: 11 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089497 (0.099637) Loss: 0.089497 (0.099637)
2025-08-25,12:58:09 | INFO | Train Epoch: 11 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11232 (0.099673) Loss: 0.11232 (0.099673)
2025-08-25,12:59:18 | INFO | Train Epoch: 11 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10594 (0.099691) Loss: 0.10594 (0.099691)
2025-08-25,13:00:28 | INFO | Train Epoch: 11 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092518 (0.099671) Loss: 0.092518 (0.099671)
2025-08-25,13:01:38 | INFO | Train Epoch: 11 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067598 (0.099581) Loss: 0.067598 (0.099581)
2025-08-25,13:02:48 | INFO | Train Epoch: 11 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098520 (0.099578) Loss: 0.098520 (0.099578)
2025-08-25,13:03:57 | INFO | Train Epoch: 11 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10492 (0.099593) Loss: 0.10492 (0.099593)
2025-08-25,13:05:07 | INFO | Train Epoch: 11 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081072 (0.099541) Loss: 0.081072 (0.099541)
2025-08-25,13:06:17 | INFO | Train Epoch: 11 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13876 (0.099650) Loss: 0.13876 (0.099650)
2025-08-25,13:07:27 | INFO | Train Epoch: 11 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11077 (0.099681) Loss: 0.11077 (0.099681)
2025-08-25,13:08:36 | INFO | Train Epoch: 11 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11211 (0.099715) Loss: 0.11211 (0.099715)
2025-08-25,13:09:46 | INFO | Train Epoch: 11 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11866 (0.099767) Loss: 0.11866 (0.099767)
2025-08-25,13:10:56 | INFO | Train Epoch: 11 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098261 (0.099763) Loss: 0.098261 (0.099763)
2025-08-25,13:12:05 | INFO | Train Epoch: 11 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10213 (0.099770) Loss: 0.10213 (0.099770)
2025-08-25,13:13:15 | INFO | Train Epoch: 11 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085308 (0.099730) Loss: 0.085308 (0.099730)
2025-08-25,13:14:25 | INFO | Train Epoch: 11 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10832 (0.099754) Loss: 0.10832 (0.099754)
2025-08-25,13:15:35 | INFO | Train Epoch: 11 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089297 (0.099725) Loss: 0.089297 (0.099725)
2025-08-25,13:16:45 | INFO | Train Epoch: 11 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077180 (0.099664) Loss: 0.077180 (0.099664)
2025-08-25,13:17:54 | INFO | Train Epoch: 11 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14082 (0.099775) Loss: 0.14082 (0.099775)
2025-08-25,13:19:04 | INFO | Train Epoch: 11 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084487 (0.099734) Loss: 0.084487 (0.099734)
2025-08-25,13:20:14 | INFO | Train Epoch: 11 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11130 (0.099765) Loss: 0.11130 (0.099765)
2025-08-25,13:21:24 | INFO | Train Epoch: 11 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12743 (0.099839) Loss: 0.12743 (0.099839)
2025-08-25,13:22:34 | INFO | Train Epoch: 11 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070212 (0.099760) Loss: 0.070212 (0.099760)
2025-08-25,13:23:43 | INFO | Train Epoch: 11 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11163 (0.099792) Loss: 0.11163 (0.099792)
2025-08-25,13:24:53 | INFO | Train Epoch: 11 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087055 (0.099758) Loss: 0.087055 (0.099758)
2025-08-25,13:26:02 | INFO | Train Epoch: 11 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094275 (0.099743) Loss: 0.094275 (0.099743)
2025-08-25,13:27:12 | INFO | Train Epoch: 11 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11257 (0.099777) Loss: 0.11257 (0.099777)
2025-08-25,13:28:22 | INFO | Train Epoch: 11 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098743 (0.099775) Loss: 0.098743 (0.099775)
2025-08-25,13:29:32 | INFO | Train Epoch: 11 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087504 (0.099742) Loss: 0.087504 (0.099742)
2025-08-25,13:30:42 | INFO | Train Epoch: 11 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087517 (0.099710) Loss: 0.087517 (0.099710)
2025-08-25,13:31:51 | INFO | Train Epoch: 11 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085166 (0.099672) Loss: 0.085166 (0.099672)
2025-08-25,13:33:01 | INFO | Train Epoch: 11 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087827 (0.099641) Loss: 0.087827 (0.099641)
2025-08-25,13:34:11 | INFO | Train Epoch: 11 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10918 (0.099666) Loss: 0.10918 (0.099666)
2025-08-25,13:35:20 | INFO | Train Epoch: 11 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099161 (0.099665) Loss: 0.099161 (0.099665)
2025-08-25,13:36:30 | INFO | Train Epoch: 11 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.095519 (0.099654) Loss: 0.095519 (0.099654)
2025-08-25,13:37:40 | INFO | Train Epoch: 11 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10290 (0.099662) Loss: 0.10290 (0.099662)
2025-08-25,13:38:49 | INFO | Train Epoch: 11 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10152 (0.099667) Loss: 0.10152 (0.099667)
2025-08-25,13:39:59 | INFO | Train Epoch: 11 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079981 (0.099617) Loss: 0.079981 (0.099617)
2025-08-25,13:41:09 | INFO | Train Epoch: 11 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11649 (0.099660) Loss: 0.11649 (0.099660)
2025-08-25,13:42:19 | INFO | Train Epoch: 11 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12038 (0.099713) Loss: 0.12038 (0.099713)
2025-08-25,13:43:29 | INFO | Train Epoch: 11 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093301 (0.099697) Loss: 0.093301 (0.099697)
2025-08-25,13:44:39 | INFO | Train Epoch: 11 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085336 (0.099660) Loss: 0.085336 (0.099660)
2025-08-25,13:45:48 | INFO | Train Epoch: 11 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12632 (0.099728) Loss: 0.12632 (0.099728)
2025-08-25,13:46:58 | INFO | Train Epoch: 11 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074105 (0.099663) Loss: 0.074105 (0.099663)
2025-08-25,13:48:08 | INFO | Train Epoch: 11 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12615 (0.099730) Loss: 0.12615 (0.099730)
2025-08-25,13:49:18 | INFO | Train Epoch: 11 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062295 (0.099635) Loss: 0.062295 (0.099635)
2025-08-25,13:50:28 | INFO | Train Epoch: 11 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091202 (0.099614) Loss: 0.091202 (0.099614)
2025-08-25,13:51:37 | INFO | Train Epoch: 11 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11152 (0.099644) Loss: 0.11152 (0.099644)
2025-08-25,13:52:47 | INFO | Train Epoch: 11 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071708 (0.099574) Loss: 0.071708 (0.099574)
2025-08-25,13:53:57 | INFO | Train Epoch: 11 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083428 (0.099534) Loss: 0.083428 (0.099534)
2025-08-25,13:55:07 | INFO | Train Epoch: 11 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097465 (0.099529) Loss: 0.097465 (0.099529)
2025-08-25,13:56:17 | INFO | Train Epoch: 11 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10684 (0.099547) Loss: 0.10684 (0.099547)
2025-08-25,13:57:26 | INFO | Train Epoch: 11 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10594 (0.099563) Loss: 0.10594 (0.099563)
2025-08-25,13:58:36 | INFO | Train Epoch: 11 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11110 (0.099591) Loss: 0.11110 (0.099591)
2025-08-25,13:59:46 | INFO | Train Epoch: 11 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11292 (0.099624) Loss: 0.11292 (0.099624)
2025-08-25,14:00:55 | INFO | Train Epoch: 11 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11255 (0.099656) Loss: 0.11255 (0.099656)
2025-08-25,14:02:05 | INFO | Train Epoch: 11 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11616 (0.099696) Loss: 0.11616 (0.099696)
2025-08-25,14:03:15 | INFO | Train Epoch: 11 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099387 (0.099696) Loss: 0.099387 (0.099696)
2025-08-25,14:04:25 | INFO | Train Epoch: 11 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086253 (0.099663) Loss: 0.086253 (0.099663)
2025-08-25,14:05:34 | INFO | Train Epoch: 11 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088802 (0.099636) Loss: 0.088802 (0.099636)
2025-08-25,14:06:44 | INFO | Train Epoch: 11 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091505 (0.099617) Loss: 0.091505 (0.099617)
2025-08-25,14:07:54 | INFO | Train Epoch: 11 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11293 (0.099649) Loss: 0.11293 (0.099649)
2025-08-25,14:09:03 | INFO | Train Epoch: 11 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10890 (0.099671) Loss: 0.10890 (0.099671)
2025-08-25,14:10:13 | INFO | Train Epoch: 11 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084832 (0.099635) Loss: 0.084832 (0.099635)
2025-08-25,14:11:23 | INFO | Train Epoch: 11 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079796 (0.099588) Loss: 0.079796 (0.099588)
2025-08-25,14:12:33 | INFO | Train Epoch: 11 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099824 (0.099588) Loss: 0.099824 (0.099588)
2025-08-25,14:13:42 | INFO | Train Epoch: 11 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10646 (0.099605) Loss: 0.10646 (0.099605)
2025-08-25,14:14:52 | INFO | Train Epoch: 11 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077326 (0.099552) Loss: 0.077326 (0.099552)
2025-08-25,14:16:02 | INFO | Train Epoch: 11 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11092 (0.099579) Loss: 0.11092 (0.099579)
2025-08-25,14:17:12 | INFO | Train Epoch: 11 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11980 (0.099627) Loss: 0.11980 (0.099627)
2025-08-25,14:18:22 | INFO | Train Epoch: 11 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060347 (0.099534) Loss: 0.060347 (0.099534)
2025-08-25,14:19:31 | INFO | Train Epoch: 11 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12210 (0.099587) Loss: 0.12210 (0.099587)
2025-08-25,14:20:41 | INFO | Train Epoch: 11 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083545 (0.099549) Loss: 0.083545 (0.099549)
2025-08-25,14:21:51 | INFO | Train Epoch: 11 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061000 (0.099458) Loss: 0.061000 (0.099458)
2025-08-25,14:23:01 | INFO | Train Epoch: 11 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099335 (0.099458) Loss: 0.099335 (0.099458)
2025-08-25,14:24:10 | INFO | Train Epoch: 11 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086629 (0.099428) Loss: 0.086629 (0.099428)
2025-08-25,14:25:20 | INFO | Train Epoch: 11 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090362 (0.099407) Loss: 0.090362 (0.099407)
2025-08-25,14:26:30 | INFO | Train Epoch: 11 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12469 (0.099466) Loss: 0.12469 (0.099466)
2025-08-25,14:27:39 | INFO | Train Epoch: 11 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088522 (0.099440) Loss: 0.088522 (0.099440)
2025-08-25,14:28:49 | INFO | Train Epoch: 11 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068528 (0.099369) Loss: 0.068528 (0.099369)
2025-08-25,14:29:59 | INFO | Train Epoch: 11 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13211 (0.099444) Loss: 0.13211 (0.099444)
2025-08-25,14:31:09 | INFO | Train Epoch: 11 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085741 (0.099413) Loss: 0.085741 (0.099413)
2025-08-25,14:32:18 | INFO | Train Epoch: 11 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10407 (0.099424) Loss: 0.10407 (0.099424)
2025-08-25,14:33:28 | INFO | Train Epoch: 11 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093176 (0.099409) Loss: 0.093176 (0.099409)
2025-08-25,14:34:38 | INFO | Train Epoch: 11 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066886 (0.099335) Loss: 0.066886 (0.099335)
2025-08-25,14:35:48 | INFO | Train Epoch: 11 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.14304 (0.099435) Loss: 0.14304 (0.099435)
2025-08-25,14:36:57 | INFO | Train Epoch: 11 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085128 (0.099402) Loss: 0.085128 (0.099402)
2025-08-25,14:38:07 | INFO | Train Epoch: 11 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065271 (0.099324) Loss: 0.065271 (0.099324)
2025-08-25,14:39:17 | INFO | Train Epoch: 11 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10269 (0.099332) Loss: 0.10269 (0.099332)
2025-08-25,14:40:27 | INFO | Train Epoch: 11 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090963 (0.099313) Loss: 0.090963 (0.099313)
2025-08-25,14:41:37 | INFO | Train Epoch: 11 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11119 (0.099340) Loss: 0.11119 (0.099340)
2025-08-25,14:42:47 | INFO | Train Epoch: 11 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10592 (0.099355) Loss: 0.10592 (0.099355)
2025-08-25,14:43:56 | INFO | Train Epoch: 11 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098912 (0.099354) Loss: 0.098912 (0.099354)
2025-08-25,14:45:06 | INFO | Train Epoch: 11 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085897 (0.099323) Loss: 0.085897 (0.099323)
2025-08-25,14:46:16 | INFO | Train Epoch: 11 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096860 (0.099318) Loss: 0.096860 (0.099318)
2025-08-25,14:47:26 | INFO | Train Epoch: 11 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090904 (0.099299) Loss: 0.090904 (0.099299)
2025-08-25,14:48:36 | INFO | Train Epoch: 11 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079139 (0.099254) Loss: 0.079139 (0.099254)
2025-08-25,14:49:45 | INFO | Train Epoch: 11 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090146 (0.099234) Loss: 0.090146 (0.099234)
2025-08-25,14:50:55 | INFO | Train Epoch: 11 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10140 (0.099238) Loss: 0.10140 (0.099238)
2025-08-25,14:52:05 | INFO | Train Epoch: 11 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094256 (0.099227) Loss: 0.094256 (0.099227)
2025-08-25,14:53:15 | INFO | Train Epoch: 11 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10973 (0.099251) Loss: 0.10973 (0.099251)
2025-08-25,14:54:24 | INFO | Train Epoch: 11 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12420 (0.099306) Loss: 0.12420 (0.099306)
2025-08-25,14:55:34 | INFO | Train Epoch: 11 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097276 (0.099301) Loss: 0.097276 (0.099301)
2025-08-25,14:56:44 | INFO | Train Epoch: 11 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11680 (0.099340) Loss: 0.11680 (0.099340)
2025-08-25,14:57:54 | INFO | Train Epoch: 11 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10571 (0.099354) Loss: 0.10571 (0.099354)
2025-08-25,14:59:04 | INFO | Train Epoch: 11 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083744 (0.099320) Loss: 0.083744 (0.099320)
2025-08-25,15:00:14 | INFO | Train Epoch: 11 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12052 (0.099366) Loss: 0.12052 (0.099366)
2025-08-25,15:01:23 | INFO | Train Epoch: 11 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11350 (0.099397) Loss: 0.11350 (0.099397)
2025-08-25,15:02:33 | INFO | Train Epoch: 11 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.15348 (0.099514) Loss: 0.15348 (0.099514)
2025-08-25,15:03:43 | INFO | Train Epoch: 11 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073172 (0.099457) Loss: 0.073172 (0.099457)
2025-08-25,15:04:53 | INFO | Train Epoch: 11 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086024 (0.099428) Loss: 0.086024 (0.099428)
2025-08-25,15:06:02 | INFO | Train Epoch: 11 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092548 (0.099413) Loss: 0.092548 (0.099413)
2025-08-25,15:07:12 | INFO | Train Epoch: 11 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13653 (0.099493) Loss: 0.13653 (0.099493)
2025-08-25,15:08:21 | INFO | Train Epoch: 11 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10724 (0.099510) Loss: 0.10724 (0.099510)
2025-08-25,15:09:31 | INFO | Train Epoch: 11 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079320 (0.099466) Loss: 0.079320 (0.099466)
2025-08-25,15:10:41 | INFO | Train Epoch: 11 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074531 (0.099413) Loss: 0.074531 (0.099413)
2025-08-25,15:11:51 | INFO | Train Epoch: 11 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078484 (0.099368) Loss: 0.078484 (0.099368)
2025-08-25,15:13:00 | INFO | Train Epoch: 11 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081548 (0.099330) Loss: 0.081548 (0.099330)
2025-08-25,15:14:10 | INFO | Train Epoch: 11 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098777 (0.099329) Loss: 0.098777 (0.099329)
2025-08-25,15:15:20 | INFO | Train Epoch: 11 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10607 (0.099344) Loss: 0.10607 (0.099344)
2025-08-25,15:16:30 | INFO | Train Epoch: 11 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078614 (0.099300) Loss: 0.078614 (0.099300)
2025-08-25,15:17:40 | INFO | Train Epoch: 11 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097178 (0.099295) Loss: 0.097178 (0.099295)
2025-08-25,15:18:49 | INFO | Train Epoch: 11 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074117 (0.099242) Loss: 0.074117 (0.099242)
2025-08-25,15:19:59 | INFO | Train Epoch: 11 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12678 (0.099300) Loss: 0.12678 (0.099300)
2025-08-25,15:21:09 | INFO | Train Epoch: 11 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11795 (0.099339) Loss: 0.11795 (0.099339)
2025-08-25,15:22:19 | INFO | Train Epoch: 11 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10914 (0.099360) Loss: 0.10914 (0.099360)
2025-08-25,15:23:29 | INFO | Train Epoch: 11 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081786 (0.099323) Loss: 0.081786 (0.099323)
2025-08-25,15:24:38 | INFO | Train Epoch: 11 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11220 (0.099350) Loss: 0.11220 (0.099350)
2025-08-25,15:25:48 | INFO | Train Epoch: 11 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12892 (0.099411) Loss: 0.12892 (0.099411)
2025-08-25,15:26:58 | INFO | Train Epoch: 11 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11684 (0.099448) Loss: 0.11684 (0.099448)
2025-08-25,15:28:08 | INFO | Train Epoch: 11 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086747 (0.099421) Loss: 0.086747 (0.099421)
2025-08-25,15:29:18 | INFO | Train Epoch: 11 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097685 (0.099418) Loss: 0.097685 (0.099418)
2025-08-25,15:30:27 | INFO | Train Epoch: 11 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10213 (0.099423) Loss: 0.10213 (0.099423)
2025-08-25,15:31:37 | INFO | Train Epoch: 11 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097195 (0.099419) Loss: 0.097195 (0.099419)
2025-08-25,15:32:47 | INFO | Train Epoch: 11 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10726 (0.099435) Loss: 0.10726 (0.099435)
2025-08-25,15:33:57 | INFO | Train Epoch: 11 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062806 (0.099360) Loss: 0.062806 (0.099360)
2025-08-25,15:35:06 | INFO | Train Epoch: 11 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.095838 (0.099352) Loss: 0.095838 (0.099352)
2025-08-25,15:36:16 | INFO | Train Epoch: 11 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10613 (0.099366) Loss: 0.10613 (0.099366)
2025-08-25,15:37:26 | INFO | Train Epoch: 11 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099592 (0.099367) Loss: 0.099592 (0.099367)
2025-08-25,15:38:36 | INFO | Train Epoch: 11 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12081 (0.099410) Loss: 0.12081 (0.099410)
2025-08-25,15:39:46 | INFO | Train Epoch: 11 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091423 (0.099394) Loss: 0.091423 (0.099394)
2025-08-25,15:40:56 | INFO | Train Epoch: 11 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11998 (0.099436) Loss: 0.11998 (0.099436)
2025-08-25,15:42:05 | INFO | Train Epoch: 11 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093924 (0.099425) Loss: 0.093924 (0.099425)
2025-08-25,15:43:15 | INFO | Train Epoch: 11 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086063 (0.099398) Loss: 0.086063 (0.099398)
2025-08-25,15:44:25 | INFO | Train Epoch: 11 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11139 (0.099422) Loss: 0.11139 (0.099422)
2025-08-25,15:45:34 | INFO | Train Epoch: 11 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10767 (0.099439) Loss: 0.10767 (0.099439)
2025-08-25,15:46:44 | INFO | Train Epoch: 11 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10534 (0.099450) Loss: 0.10534 (0.099450)
2025-08-25,15:47:54 | INFO | Train Epoch: 11 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097906 (0.099447) Loss: 0.097906 (0.099447)
2025-08-25,15:49:04 | INFO | Train Epoch: 11 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11934 (0.099487) Loss: 0.11934 (0.099487)
2025-08-25,15:50:13 | INFO | Train Epoch: 11 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.13307 (0.099554) Loss: 0.13307 (0.099554)
2025-08-25,15:51:23 | INFO | Train Epoch: 11 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085125 (0.099525) Loss: 0.085125 (0.099525)
2025-08-25,15:52:33 | INFO | Train Epoch: 11 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10583 (0.099538) Loss: 0.10583 (0.099538)
2025-08-25,15:53:42 | INFO | Train Epoch: 11 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088303 (0.099516) Loss: 0.088303 (0.099516)
2025-08-25,15:54:52 | INFO | Train Epoch: 11 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075814 (0.099469) Loss: 0.075814 (0.099469)
2025-08-25,15:56:02 | INFO | Train Epoch: 11 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12343 (0.099516) Loss: 0.12343 (0.099516)
2025-08-25,15:57:12 | INFO | Train Epoch: 11 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092602 (0.099502) Loss: 0.092602 (0.099502)
2025-08-25,15:58:21 | INFO | Train Epoch: 11 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077828 (0.099460) Loss: 0.077828 (0.099460)
2025-08-25,15:59:31 | INFO | Train Epoch: 11 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072645 (0.099407) Loss: 0.072645 (0.099407)
2025-08-25,16:00:41 | INFO | Train Epoch: 11 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080902 (0.099371) Loss: 0.080902 (0.099371)
2025-08-25,16:01:51 | INFO | Train Epoch: 11 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097969 (0.099368) Loss: 0.097969 (0.099368)
2025-08-25,16:03:01 | INFO | Train Epoch: 11 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080640 (0.099331) Loss: 0.080640 (0.099331)
2025-08-25,16:04:10 | INFO | Train Epoch: 11 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096329 (0.099326) Loss: 0.096329 (0.099326)
2025-08-25,16:05:20 | INFO | Train Epoch: 11 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12858 (0.099383) Loss: 0.12858 (0.099383)
2025-08-25,16:06:30 | INFO | Train Epoch: 11 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090400 (0.099365) Loss: 0.090400 (0.099365)
2025-08-25,16:07:36 | INFO | Train Epoch: 11 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066813 (0.099302) Loss: 0.066813 (0.099302)
2025-08-25,16:07:36 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-25,16:07:36 | INFO | [Epoch 11] Average Step Time: 0.701s | Average GPU Memory: 43.4 GB
2025-08-25,16:07:36 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-25,16:07:37 | INFO | Starting zero-shot imagenet.
2025-08-25,16:07:37 | INFO | Building zero-shot classifier
2025-08-25,16:07:46 | INFO | Using classifier
2025-08-25,16:08:32 | INFO | Finished zero-shot imagenet.
2025-08-25,16:08:32 | INFO | Eval Epoch: 12 imagenet-zeroshot-val-top1: 0.3267	imagenet-zeroshot-val-top5: 0.5987
2025-08-25,16:08:33 | INFO | Start epoch 12
2025-08-25,16:08:35 | INFO | Train Epoch: 12 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10550 (0.10550) Loss: 0.10550 (0.10550)
2025-08-25,16:09:45 | INFO | Train Epoch: 12 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080952 (0.093228) Loss: 0.080952 (0.093228)
2025-08-25,16:10:54 | INFO | Train Epoch: 12 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077049 (0.087835) Loss: 0.077049 (0.087835)
2025-08-25,16:12:04 | INFO | Train Epoch: 12 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069999 (0.083376) Loss: 0.069999 (0.083376)
2025-08-25,16:13:14 | INFO | Train Epoch: 12 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080030 (0.082707) Loss: 0.080030 (0.082707)
2025-08-25,16:14:23 | INFO | Train Epoch: 12 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082497 (0.082672) Loss: 0.082497 (0.082672)
2025-08-25,16:15:33 | INFO | Train Epoch: 12 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069969 (0.080857) Loss: 0.069969 (0.080857)
2025-08-25,16:16:42 | INFO | Train Epoch: 12 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063352 (0.078669) Loss: 0.063352 (0.078669)
2025-08-25,16:17:52 | INFO | Train Epoch: 12 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071002 (0.077817) Loss: 0.071002 (0.077817)
2025-08-25,16:19:02 | INFO | Train Epoch: 12 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086038 (0.078639) Loss: 0.086038 (0.078639)
2025-08-25,16:20:11 | INFO | Train Epoch: 12 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073312 (0.078155) Loss: 0.073312 (0.078155)
2025-08-25,16:21:21 | INFO | Train Epoch: 12 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092701 (0.079367) Loss: 0.092701 (0.079367)
2025-08-25,16:22:31 | INFO | Train Epoch: 12 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049189 (0.077046) Loss: 0.049189 (0.077046)
2025-08-25,16:23:40 | INFO | Train Epoch: 12 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068760 (0.076454) Loss: 0.068760 (0.076454)
2025-08-25,16:24:50 | INFO | Train Epoch: 12 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079070 (0.076628) Loss: 0.079070 (0.076628)
2025-08-25,16:26:00 | INFO | Train Epoch: 12 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079337 (0.076798) Loss: 0.079337 (0.076798)
2025-08-25,16:27:10 | INFO | Train Epoch: 12 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072232 (0.076529) Loss: 0.072232 (0.076529)
2025-08-25,16:28:19 | INFO | Train Epoch: 12 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083223 (0.076901) Loss: 0.083223 (0.076901)
2025-08-25,16:29:29 | INFO | Train Epoch: 12 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061199 (0.076075) Loss: 0.061199 (0.076075)
2025-08-25,16:30:38 | INFO | Train Epoch: 12 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12203 (0.078372) Loss: 0.12203 (0.078372)
2025-08-25,16:31:48 | INFO | Train Epoch: 12 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056773 (0.077344) Loss: 0.056773 (0.077344)
2025-08-25,16:32:58 | INFO | Train Epoch: 12 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083905 (0.077642) Loss: 0.083905 (0.077642)
2025-08-25,16:34:07 | INFO | Train Epoch: 12 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075700 (0.077558) Loss: 0.075700 (0.077558)
2025-08-25,16:35:17 | INFO | Train Epoch: 12 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051101 (0.076455) Loss: 0.051101 (0.076455)
2025-08-25,16:36:27 | INFO | Train Epoch: 12 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066825 (0.076070) Loss: 0.066825 (0.076070)
2025-08-25,16:37:36 | INFO | Train Epoch: 12 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068147 (0.075765) Loss: 0.068147 (0.075765)
2025-08-25,16:38:46 | INFO | Train Epoch: 12 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071007 (0.075589) Loss: 0.071007 (0.075589)
2025-08-25,16:39:56 | INFO | Train Epoch: 12 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10688 (0.076707) Loss: 0.10688 (0.076707)
2025-08-25,16:41:05 | INFO | Train Epoch: 12 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082104 (0.076893) Loss: 0.082104 (0.076893)
2025-08-25,16:42:15 | INFO | Train Epoch: 12 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061982 (0.076396) Loss: 0.061982 (0.076396)
2025-08-25,16:43:25 | INFO | Train Epoch: 12 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073439 (0.076300) Loss: 0.073439 (0.076300)
2025-08-25,16:44:34 | INFO | Train Epoch: 12 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054822 (0.075629) Loss: 0.054822 (0.075629)
2025-08-25,16:45:44 | INFO | Train Epoch: 12 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099653 (0.076357) Loss: 0.099653 (0.076357)
2025-08-25,16:46:54 | INFO | Train Epoch: 12 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073331 (0.076268) Loss: 0.073331 (0.076268)
2025-08-25,16:48:03 | INFO | Train Epoch: 12 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077750 (0.076311) Loss: 0.077750 (0.076311)
2025-08-25,16:49:13 | INFO | Train Epoch: 12 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057851 (0.075798) Loss: 0.057851 (0.075798)
2025-08-25,16:50:22 | INFO | Train Epoch: 12 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10392 (0.076558) Loss: 0.10392 (0.076558)
2025-08-25,16:51:32 | INFO | Train Epoch: 12 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.095946 (0.077068) Loss: 0.095946 (0.077068)
2025-08-25,16:52:42 | INFO | Train Epoch: 12 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077536 (0.077080) Loss: 0.077536 (0.077080)
2025-08-25,16:53:52 | INFO | Train Epoch: 12 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072604 (0.076968) Loss: 0.072604 (0.076968)
2025-08-25,16:55:01 | INFO | Train Epoch: 12 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084416 (0.077150) Loss: 0.084416 (0.077150)
2025-08-25,16:56:11 | INFO | Train Epoch: 12 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10965 (0.077924) Loss: 0.10965 (0.077924)
2025-08-25,16:57:21 | INFO | Train Epoch: 12 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086640 (0.078126) Loss: 0.086640 (0.078126)
2025-08-25,16:58:30 | INFO | Train Epoch: 12 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075018 (0.078056) Loss: 0.075018 (0.078056)
2025-08-25,16:59:40 | INFO | Train Epoch: 12 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076752 (0.078027) Loss: 0.076752 (0.078027)
2025-08-25,17:00:50 | INFO | Train Epoch: 12 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068202 (0.077813) Loss: 0.068202 (0.077813)
2025-08-25,17:01:59 | INFO | Train Epoch: 12 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085706 (0.077981) Loss: 0.085706 (0.077981)
2025-08-25,17:03:09 | INFO | Train Epoch: 12 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074857 (0.077916) Loss: 0.074857 (0.077916)
2025-08-25,17:04:19 | INFO | Train Epoch: 12 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056718 (0.077483) Loss: 0.056718 (0.077483)
2025-08-25,17:05:29 | INFO | Train Epoch: 12 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076082 (0.077455) Loss: 0.076082 (0.077455)
2025-08-25,17:06:38 | INFO | Train Epoch: 12 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077096 (0.077448) Loss: 0.077096 (0.077448)
2025-08-25,17:07:48 | INFO | Train Epoch: 12 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080507 (0.077507) Loss: 0.080507 (0.077507)
2025-08-25,17:08:58 | INFO | Train Epoch: 12 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075425 (0.077468) Loss: 0.075425 (0.077468)
2025-08-25,17:10:08 | INFO | Train Epoch: 12 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071805 (0.077363) Loss: 0.071805 (0.077363)
2025-08-25,17:11:18 | INFO | Train Epoch: 12 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087105 (0.077540) Loss: 0.087105 (0.077540)
2025-08-25,17:12:27 | INFO | Train Epoch: 12 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080536 (0.077594) Loss: 0.080536 (0.077594)
2025-08-25,17:13:37 | INFO | Train Epoch: 12 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093557 (0.077874) Loss: 0.093557 (0.077874)
2025-08-25,17:14:47 | INFO | Train Epoch: 12 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071352 (0.077761) Loss: 0.071352 (0.077761)
2025-08-25,17:15:56 | INFO | Train Epoch: 12 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082995 (0.077850) Loss: 0.082995 (0.077850)
2025-08-25,17:17:06 | INFO | Train Epoch: 12 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079770 (0.077882) Loss: 0.079770 (0.077882)
2025-08-25,17:18:16 | INFO | Train Epoch: 12 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069595 (0.077746) Loss: 0.069595 (0.077746)
2025-08-25,17:19:26 | INFO | Train Epoch: 12 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074124 (0.077688) Loss: 0.074124 (0.077688)
2025-08-25,17:20:35 | INFO | Train Epoch: 12 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072865 (0.077611) Loss: 0.072865 (0.077611)
2025-08-25,17:21:45 | INFO | Train Epoch: 12 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061668 (0.077362) Loss: 0.061668 (0.077362)
2025-08-25,17:22:55 | INFO | Train Epoch: 12 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10033 (0.077715) Loss: 0.10033 (0.077715)
2025-08-25,17:24:04 | INFO | Train Epoch: 12 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11550 (0.078288) Loss: 0.11550 (0.078288)
2025-08-25,17:25:14 | INFO | Train Epoch: 12 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087428 (0.078424) Loss: 0.087428 (0.078424)
2025-08-25,17:26:24 | INFO | Train Epoch: 12 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089317 (0.078584) Loss: 0.089317 (0.078584)
2025-08-25,17:27:33 | INFO | Train Epoch: 12 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076720 (0.078557) Loss: 0.076720 (0.078557)
2025-08-25,17:28:43 | INFO | Train Epoch: 12 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090029 (0.078721) Loss: 0.090029 (0.078721)
2025-08-25,17:29:53 | INFO | Train Epoch: 12 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066370 (0.078547) Loss: 0.066370 (0.078547)
2025-08-25,17:31:03 | INFO | Train Epoch: 12 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066749 (0.078383) Loss: 0.066749 (0.078383)
2025-08-25,17:32:12 | INFO | Train Epoch: 12 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075029 (0.078337) Loss: 0.075029 (0.078337)
2025-08-25,17:33:22 | INFO | Train Epoch: 12 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070324 (0.078229) Loss: 0.070324 (0.078229)
2025-08-25,17:34:32 | INFO | Train Epoch: 12 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084031 (0.078306) Loss: 0.084031 (0.078306)
2025-08-25,17:35:42 | INFO | Train Epoch: 12 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058819 (0.078050) Loss: 0.058819 (0.078050)
2025-08-25,17:36:52 | INFO | Train Epoch: 12 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071918 (0.077970) Loss: 0.071918 (0.077970)
2025-08-25,17:38:01 | INFO | Train Epoch: 12 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075334 (0.077937) Loss: 0.075334 (0.077937)
2025-08-25,17:39:11 | INFO | Train Epoch: 12 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10242 (0.078247) Loss: 0.10242 (0.078247)
2025-08-25,17:40:21 | INFO | Train Epoch: 12 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086360 (0.078348) Loss: 0.086360 (0.078348)
2025-08-25,17:41:30 | INFO | Train Epoch: 12 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057957 (0.078096) Loss: 0.057957 (0.078096)
2025-08-25,17:42:40 | INFO | Train Epoch: 12 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057217 (0.077842) Loss: 0.057217 (0.077842)
2025-08-25,17:43:50 | INFO | Train Epoch: 12 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098235 (0.078087) Loss: 0.098235 (0.078087)
2025-08-25,17:44:59 | INFO | Train Epoch: 12 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069254 (0.077982) Loss: 0.069254 (0.077982)
2025-08-25,17:46:09 | INFO | Train Epoch: 12 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092666 (0.078155) Loss: 0.092666 (0.078155)
2025-08-25,17:47:19 | INFO | Train Epoch: 12 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061459 (0.077961) Loss: 0.061459 (0.077961)
2025-08-25,17:48:29 | INFO | Train Epoch: 12 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069130 (0.077859) Loss: 0.069130 (0.077859)
2025-08-25,17:49:38 | INFO | Train Epoch: 12 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11559 (0.078288) Loss: 0.11559 (0.078288)
2025-08-25,17:50:48 | INFO | Train Epoch: 12 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073158 (0.078230) Loss: 0.073158 (0.078230)
2025-08-25,17:51:58 | INFO | Train Epoch: 12 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069965 (0.078139) Loss: 0.069965 (0.078139)
2025-08-25,17:53:08 | INFO | Train Epoch: 12 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091755 (0.078288) Loss: 0.091755 (0.078288)
2025-08-25,17:54:18 | INFO | Train Epoch: 12 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052739 (0.078010) Loss: 0.052739 (0.078010)
2025-08-25,17:55:27 | INFO | Train Epoch: 12 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072265 (0.077949) Loss: 0.072265 (0.077949)
2025-08-25,17:56:37 | INFO | Train Epoch: 12 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084260 (0.078016) Loss: 0.084260 (0.078016)
2025-08-25,17:57:47 | INFO | Train Epoch: 12 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073239 (0.077966) Loss: 0.073239 (0.077966)
2025-08-25,17:58:57 | INFO | Train Epoch: 12 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081474 (0.078002) Loss: 0.081474 (0.078002)
2025-08-25,18:00:06 | INFO | Train Epoch: 12 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069590 (0.077915) Loss: 0.069590 (0.077915)
2025-08-25,18:01:16 | INFO | Train Epoch: 12 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10550 (0.078197) Loss: 0.10550 (0.078197)
2025-08-25,18:02:26 | INFO | Train Epoch: 12 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044020 (0.077852) Loss: 0.044020 (0.077852)
2025-08-25,18:03:36 | INFO | Train Epoch: 12 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065921 (0.077732) Loss: 0.065921 (0.077732)
2025-08-25,18:04:46 | INFO | Train Epoch: 12 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053763 (0.077495) Loss: 0.053763 (0.077495)
2025-08-25,18:05:55 | INFO | Train Epoch: 12 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049267 (0.077218) Loss: 0.049267 (0.077218)
2025-08-25,18:07:05 | INFO | Train Epoch: 12 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074727 (0.077194) Loss: 0.074727 (0.077194)
2025-08-25,18:08:15 | INFO | Train Epoch: 12 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11176 (0.077526) Loss: 0.11176 (0.077526)
2025-08-25,18:09:25 | INFO | Train Epoch: 12 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077973 (0.077531) Loss: 0.077973 (0.077531)
2025-08-25,18:10:34 | INFO | Train Epoch: 12 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071503 (0.077474) Loss: 0.071503 (0.077474)
2025-08-25,18:11:44 | INFO | Train Epoch: 12 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091283 (0.077603) Loss: 0.091283 (0.077603)
2025-08-25,18:12:54 | INFO | Train Epoch: 12 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069365 (0.077527) Loss: 0.069365 (0.077527)
2025-08-25,18:14:03 | INFO | Train Epoch: 12 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075812 (0.077511) Loss: 0.075812 (0.077511)
2025-08-25,18:15:13 | INFO | Train Epoch: 12 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085600 (0.077584) Loss: 0.085600 (0.077584)
2025-08-25,18:16:23 | INFO | Train Epoch: 12 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060770 (0.077433) Loss: 0.060770 (0.077433)
2025-08-25,18:17:33 | INFO | Train Epoch: 12 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099215 (0.077627) Loss: 0.099215 (0.077627)
2025-08-25,18:18:42 | INFO | Train Epoch: 12 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10030 (0.077828) Loss: 0.10030 (0.077828)
2025-08-25,18:19:52 | INFO | Train Epoch: 12 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086978 (0.077908) Loss: 0.086978 (0.077908)
2025-08-25,18:21:02 | INFO | Train Epoch: 12 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11871 (0.078263) Loss: 0.11871 (0.078263)
2025-08-25,18:22:12 | INFO | Train Epoch: 12 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055091 (0.078063) Loss: 0.055091 (0.078063)
2025-08-25,18:23:22 | INFO | Train Epoch: 12 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086959 (0.078139) Loss: 0.086959 (0.078139)
2025-08-25,18:24:31 | INFO | Train Epoch: 12 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073649 (0.078101) Loss: 0.073649 (0.078101)
2025-08-25,18:25:41 | INFO | Train Epoch: 12 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091619 (0.078215) Loss: 0.091619 (0.078215)
2025-08-25,18:26:51 | INFO | Train Epoch: 12 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063119 (0.078089) Loss: 0.063119 (0.078089)
2025-08-25,18:28:01 | INFO | Train Epoch: 12 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080966 (0.078113) Loss: 0.080966 (0.078113)
2025-08-25,18:29:11 | INFO | Train Epoch: 12 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072856 (0.078070) Loss: 0.072856 (0.078070)
2025-08-25,18:30:20 | INFO | Train Epoch: 12 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069137 (0.077997) Loss: 0.069137 (0.077997)
2025-08-25,18:31:30 | INFO | Train Epoch: 12 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063012 (0.077876) Loss: 0.063012 (0.077876)
2025-08-25,18:32:40 | INFO | Train Epoch: 12 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094214 (0.078007) Loss: 0.094214 (0.078007)
2025-08-25,18:33:50 | INFO | Train Epoch: 12 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067313 (0.077922) Loss: 0.067313 (0.077922)
2025-08-25,18:35:00 | INFO | Train Epoch: 12 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092116 (0.078034) Loss: 0.092116 (0.078034)
2025-08-25,18:36:09 | INFO | Train Epoch: 12 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096395 (0.078177) Loss: 0.096395 (0.078177)
2025-08-25,18:37:19 | INFO | Train Epoch: 12 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072550 (0.078134) Loss: 0.072550 (0.078134)
2025-08-25,18:38:29 | INFO | Train Epoch: 12 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067530 (0.078052) Loss: 0.067530 (0.078052)
2025-08-25,18:39:39 | INFO | Train Epoch: 12 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086899 (0.078120) Loss: 0.086899 (0.078120)
2025-08-25,18:40:49 | INFO | Train Epoch: 12 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054439 (0.077940) Loss: 0.054439 (0.077940)
2025-08-25,18:41:58 | INFO | Train Epoch: 12 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068947 (0.077873) Loss: 0.068947 (0.077873)
2025-08-25,18:43:08 | INFO | Train Epoch: 12 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082207 (0.077905) Loss: 0.082207 (0.077905)
2025-08-25,18:44:18 | INFO | Train Epoch: 12 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10164 (0.078081) Loss: 0.10164 (0.078081)
2025-08-25,18:45:28 | INFO | Train Epoch: 12 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072902 (0.078043) Loss: 0.072902 (0.078043)
2025-08-25,18:46:38 | INFO | Train Epoch: 12 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083182 (0.078080) Loss: 0.083182 (0.078080)
2025-08-25,18:47:47 | INFO | Train Epoch: 12 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10574 (0.078281) Loss: 0.10574 (0.078281)
2025-08-25,18:48:57 | INFO | Train Epoch: 12 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080794 (0.078299) Loss: 0.080794 (0.078299)
2025-08-25,18:50:07 | INFO | Train Epoch: 12 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058143 (0.078155) Loss: 0.058143 (0.078155)
2025-08-25,18:51:17 | INFO | Train Epoch: 12 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073309 (0.078120) Loss: 0.073309 (0.078120)
2025-08-25,18:52:26 | INFO | Train Epoch: 12 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057168 (0.077973) Loss: 0.057168 (0.077973)
2025-08-25,18:53:36 | INFO | Train Epoch: 12 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10484 (0.078161) Loss: 0.10484 (0.078161)
2025-08-25,18:54:46 | INFO | Train Epoch: 12 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061690 (0.078046) Loss: 0.061690 (0.078046)
2025-08-25,18:55:56 | INFO | Train Epoch: 12 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10528 (0.078234) Loss: 0.10528 (0.078234)
2025-08-25,18:57:06 | INFO | Train Epoch: 12 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076514 (0.078222) Loss: 0.076514 (0.078222)
2025-08-25,18:58:16 | INFO | Train Epoch: 12 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087778 (0.078287) Loss: 0.087778 (0.078287)
2025-08-25,18:59:25 | INFO | Train Epoch: 12 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12415 (0.078597) Loss: 0.12415 (0.078597)
2025-08-25,19:00:35 | INFO | Train Epoch: 12 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10713 (0.078789) Loss: 0.10713 (0.078789)
2025-08-25,19:01:45 | INFO | Train Epoch: 12 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10084 (0.078936) Loss: 0.10084 (0.078936)
2025-08-25,19:02:55 | INFO | Train Epoch: 12 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069346 (0.078872) Loss: 0.069346 (0.078872)
2025-08-25,19:04:05 | INFO | Train Epoch: 12 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057525 (0.078732) Loss: 0.057525 (0.078732)
2025-08-25,19:05:14 | INFO | Train Epoch: 12 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091488 (0.078815) Loss: 0.091488 (0.078815)
2025-08-25,19:06:24 | INFO | Train Epoch: 12 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086067 (0.078862) Loss: 0.086067 (0.078862)
2025-08-25,19:07:34 | INFO | Train Epoch: 12 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099890 (0.078998) Loss: 0.099890 (0.078998)
2025-08-25,19:08:44 | INFO | Train Epoch: 12 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075343 (0.078975) Loss: 0.075343 (0.078975)
2025-08-25,19:09:54 | INFO | Train Epoch: 12 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089196 (0.079040) Loss: 0.089196 (0.079040)
2025-08-25,19:11:03 | INFO | Train Epoch: 12 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10463 (0.079202) Loss: 0.10463 (0.079202)
2025-08-25,19:12:13 | INFO | Train Epoch: 12 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10808 (0.079383) Loss: 0.10808 (0.079383)
2025-08-25,19:13:23 | INFO | Train Epoch: 12 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075657 (0.079360) Loss: 0.075657 (0.079360)
2025-08-25,19:14:33 | INFO | Train Epoch: 12 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065125 (0.079272) Loss: 0.065125 (0.079272)
2025-08-25,19:15:43 | INFO | Train Epoch: 12 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056795 (0.079133) Loss: 0.056795 (0.079133)
2025-08-25,19:16:53 | INFO | Train Epoch: 12 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071755 (0.079088) Loss: 0.071755 (0.079088)
2025-08-25,19:18:02 | INFO | Train Epoch: 12 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084352 (0.079120) Loss: 0.084352 (0.079120)
2025-08-25,19:19:12 | INFO | Train Epoch: 12 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075147 (0.079096) Loss: 0.075147 (0.079096)
2025-08-25,19:20:22 | INFO | Train Epoch: 12 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066703 (0.079021) Loss: 0.066703 (0.079021)
2025-08-25,19:21:32 | INFO | Train Epoch: 12 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067888 (0.078954) Loss: 0.067888 (0.078954)
2025-08-25,19:22:42 | INFO | Train Epoch: 12 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066623 (0.078881) Loss: 0.066623 (0.078881)
2025-08-25,19:23:52 | INFO | Train Epoch: 12 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089459 (0.078943) Loss: 0.089459 (0.078943)
2025-08-25,19:25:01 | INFO | Train Epoch: 12 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051307 (0.078781) Loss: 0.051307 (0.078781)
2025-08-25,19:26:11 | INFO | Train Epoch: 12 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060142 (0.078672) Loss: 0.060142 (0.078672)
2025-08-25,19:27:21 | INFO | Train Epoch: 12 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071579 (0.078631) Loss: 0.071579 (0.078631)
2025-08-25,19:28:30 | INFO | Train Epoch: 12 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094035 (0.078720) Loss: 0.094035 (0.078720)
2025-08-25,19:29:40 | INFO | Train Epoch: 12 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063831 (0.078634) Loss: 0.063831 (0.078634)
2025-08-25,19:30:49 | INFO | Train Epoch: 12 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099059 (0.078751) Loss: 0.099059 (0.078751)
2025-08-25,19:31:59 | INFO | Train Epoch: 12 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087404 (0.078800) Loss: 0.087404 (0.078800)
2025-08-25,19:33:09 | INFO | Train Epoch: 12 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048377 (0.078628) Loss: 0.048377 (0.078628)
2025-08-25,19:34:18 | INFO | Train Epoch: 12 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082697 (0.078651) Loss: 0.082697 (0.078651)
2025-08-25,19:35:28 | INFO | Train Epoch: 12 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076416 (0.078639) Loss: 0.076416 (0.078639)
2025-08-25,19:36:38 | INFO | Train Epoch: 12 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091578 (0.078710) Loss: 0.091578 (0.078710)
2025-08-25,19:37:48 | INFO | Train Epoch: 12 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073109 (0.078679) Loss: 0.073109 (0.078679)
2025-08-25,19:38:58 | INFO | Train Epoch: 12 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068576 (0.078624) Loss: 0.068576 (0.078624)
2025-08-25,19:40:07 | INFO | Train Epoch: 12 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072058 (0.078588) Loss: 0.072058 (0.078588)
2025-08-25,19:41:17 | INFO | Train Epoch: 12 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077131 (0.078580) Loss: 0.077131 (0.078580)
2025-08-25,19:42:27 | INFO | Train Epoch: 12 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084201 (0.078611) Loss: 0.084201 (0.078611)
2025-08-25,19:43:36 | INFO | Train Epoch: 12 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077929 (0.078607) Loss: 0.077929 (0.078607)
2025-08-25,19:44:46 | INFO | Train Epoch: 12 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081127 (0.078620) Loss: 0.081127 (0.078620)
2025-08-25,19:45:56 | INFO | Train Epoch: 12 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080907 (0.078632) Loss: 0.080907 (0.078632)
2025-08-25,19:47:06 | INFO | Train Epoch: 12 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054249 (0.078503) Loss: 0.054249 (0.078503)
2025-08-25,19:48:15 | INFO | Train Epoch: 12 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076563 (0.078493) Loss: 0.076563 (0.078493)
2025-08-25,19:49:25 | INFO | Train Epoch: 12 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086758 (0.078537) Loss: 0.086758 (0.078537)
2025-08-25,19:50:35 | INFO | Train Epoch: 12 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086668 (0.078579) Loss: 0.086668 (0.078579)
2025-08-25,19:51:45 | INFO | Train Epoch: 12 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056791 (0.078466) Loss: 0.056791 (0.078466)
2025-08-25,19:52:54 | INFO | Train Epoch: 12 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067267 (0.078408) Loss: 0.067267 (0.078408)
2025-08-25,19:54:04 | INFO | Train Epoch: 12 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064129 (0.078335) Loss: 0.064129 (0.078335)
2025-08-25,19:55:14 | INFO | Train Epoch: 12 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096839 (0.078429) Loss: 0.096839 (0.078429)
2025-08-25,19:56:24 | INFO | Train Epoch: 12 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091670 (0.078497) Loss: 0.091670 (0.078497)
2025-08-25,19:57:33 | INFO | Train Epoch: 12 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078494 (0.078497) Loss: 0.078494 (0.078497)
2025-08-25,19:58:43 | INFO | Train Epoch: 12 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090215 (0.078556) Loss: 0.090215 (0.078556)
2025-08-25,19:59:53 | INFO | Train Epoch: 12 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084127 (0.078583) Loss: 0.084127 (0.078583)
2025-08-25,20:01:02 | INFO | Train Epoch: 12 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090424 (0.078642) Loss: 0.090424 (0.078642)
2025-08-25,20:02:12 | INFO | Train Epoch: 12 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073585 (0.078617) Loss: 0.073585 (0.078617)
2025-08-25,20:03:22 | INFO | Train Epoch: 12 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056390 (0.078508) Loss: 0.056390 (0.078508)
2025-08-25,20:04:32 | INFO | Train Epoch: 12 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056382 (0.078399) Loss: 0.056382 (0.078399)
2025-08-25,20:05:41 | INFO | Train Epoch: 12 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10539 (0.078531) Loss: 0.10539 (0.078531)
2025-08-25,20:06:51 | INFO | Train Epoch: 12 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094357 (0.078608) Loss: 0.094357 (0.078608)
2025-08-25,20:08:01 | INFO | Train Epoch: 12 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090748 (0.078666) Loss: 0.090748 (0.078666)
2025-08-25,20:09:11 | INFO | Train Epoch: 12 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054029 (0.078548) Loss: 0.054029 (0.078548)
2025-08-25,20:10:21 | INFO | Train Epoch: 12 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073298 (0.078523) Loss: 0.073298 (0.078523)
2025-08-25,20:11:30 | INFO | Train Epoch: 12 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070470 (0.078485) Loss: 0.070470 (0.078485)
2025-08-25,20:12:40 | INFO | Train Epoch: 12 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066483 (0.078428) Loss: 0.066483 (0.078428)
2025-08-25,20:13:50 | INFO | Train Epoch: 12 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084403 (0.078456) Loss: 0.084403 (0.078456)
2025-08-25,20:14:59 | INFO | Train Epoch: 12 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097242 (0.078544) Loss: 0.097242 (0.078544)
2025-08-25,20:16:09 | INFO | Train Epoch: 12 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050996 (0.078415) Loss: 0.050996 (0.078415)
2025-08-25,20:17:19 | INFO | Train Epoch: 12 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067831 (0.078366) Loss: 0.067831 (0.078366)
2025-08-25,20:18:29 | INFO | Train Epoch: 12 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080889 (0.078378) Loss: 0.080889 (0.078378)
2025-08-25,20:19:39 | INFO | Train Epoch: 12 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069563 (0.078337) Loss: 0.069563 (0.078337)
2025-08-25,20:20:48 | INFO | Train Epoch: 12 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051150 (0.078212) Loss: 0.051150 (0.078212)
2025-08-25,20:21:58 | INFO | Train Epoch: 12 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073281 (0.078190) Loss: 0.073281 (0.078190)
2025-08-25,20:23:08 | INFO | Train Epoch: 12 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079139 (0.078194) Loss: 0.079139 (0.078194)
2025-08-25,20:24:17 | INFO | Train Epoch: 12 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062148 (0.078122) Loss: 0.062148 (0.078122)
2025-08-25,20:25:27 | INFO | Train Epoch: 12 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085719 (0.078156) Loss: 0.085719 (0.078156)
2025-08-25,20:26:37 | INFO | Train Epoch: 12 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061282 (0.078080) Loss: 0.061282 (0.078080)
2025-08-25,20:27:47 | INFO | Train Epoch: 12 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042741 (0.077922) Loss: 0.042741 (0.077922)
2025-08-25,20:28:56 | INFO | Train Epoch: 12 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043853 (0.077771) Loss: 0.043853 (0.077771)
2025-08-25,20:30:06 | INFO | Train Epoch: 12 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085692 (0.077806) Loss: 0.085692 (0.077806)
2025-08-25,20:31:16 | INFO | Train Epoch: 12 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077370 (0.077804) Loss: 0.077370 (0.077804)
2025-08-25,20:32:26 | INFO | Train Epoch: 12 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087927 (0.077849) Loss: 0.087927 (0.077849)
2025-08-25,20:33:35 | INFO | Train Epoch: 12 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085841 (0.077883) Loss: 0.085841 (0.077883)
2025-08-25,20:34:45 | INFO | Train Epoch: 12 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084446 (0.077912) Loss: 0.084446 (0.077912)
2025-08-25,20:35:55 | INFO | Train Epoch: 12 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070983 (0.077882) Loss: 0.070983 (0.077882)
2025-08-25,20:37:05 | INFO | Train Epoch: 12 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072000 (0.077857) Loss: 0.072000 (0.077857)
2025-08-25,20:38:15 | INFO | Train Epoch: 12 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083874 (0.077882) Loss: 0.083874 (0.077882)
2025-08-25,20:39:24 | INFO | Train Epoch: 12 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066943 (0.077836) Loss: 0.066943 (0.077836)
2025-08-25,20:40:34 | INFO | Train Epoch: 12 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059901 (0.077759) Loss: 0.059901 (0.077759)
2025-08-25,20:41:44 | INFO | Train Epoch: 12 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067524 (0.077716) Loss: 0.067524 (0.077716)
2025-08-25,20:42:53 | INFO | Train Epoch: 12 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083506 (0.077740) Loss: 0.083506 (0.077740)
2025-08-25,20:44:03 | INFO | Train Epoch: 12 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069446 (0.077706) Loss: 0.069446 (0.077706)
2025-08-25,20:45:13 | INFO | Train Epoch: 12 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085642 (0.077739) Loss: 0.085642 (0.077739)
2025-08-25,20:46:23 | INFO | Train Epoch: 12 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076042 (0.077732) Loss: 0.076042 (0.077732)
2025-08-25,20:47:32 | INFO | Train Epoch: 12 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058708 (0.077653) Loss: 0.058708 (0.077653)
2025-08-25,20:48:42 | INFO | Train Epoch: 12 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097348 (0.077734) Loss: 0.097348 (0.077734)
2025-08-25,20:49:52 | INFO | Train Epoch: 12 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081000 (0.077748) Loss: 0.081000 (0.077748)
2025-08-25,20:51:02 | INFO | Train Epoch: 12 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061034 (0.077679) Loss: 0.061034 (0.077679)
2025-08-25,20:52:12 | INFO | Train Epoch: 12 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081394 (0.077694) Loss: 0.081394 (0.077694)
2025-08-25,20:53:22 | INFO | Train Epoch: 12 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058845 (0.077618) Loss: 0.058845 (0.077618)
2025-08-25,20:54:31 | INFO | Train Epoch: 12 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052283 (0.077515) Loss: 0.052283 (0.077515)
2025-08-25,20:55:41 | INFO | Train Epoch: 12 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10303 (0.077618) Loss: 0.10303 (0.077618)
2025-08-25,20:56:51 | INFO | Train Epoch: 12 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063188 (0.077560) Loss: 0.063188 (0.077560)
2025-08-25,20:58:00 | INFO | Train Epoch: 12 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083094 (0.077582) Loss: 0.083094 (0.077582)
2025-08-25,20:59:10 | INFO | Train Epoch: 12 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094445 (0.077649) Loss: 0.094445 (0.077649)
2025-08-25,21:00:20 | INFO | Train Epoch: 12 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090346 (0.077700) Loss: 0.090346 (0.077700)
2025-08-25,21:01:30 | INFO | Train Epoch: 12 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051593 (0.077597) Loss: 0.051593 (0.077597)
2025-08-25,21:02:39 | INFO | Train Epoch: 12 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068087 (0.077559) Loss: 0.068087 (0.077559)
2025-08-25,21:03:49 | INFO | Train Epoch: 12 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070218 (0.077530) Loss: 0.070218 (0.077530)
2025-08-25,21:04:59 | INFO | Train Epoch: 12 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056173 (0.077447) Loss: 0.056173 (0.077447)
2025-08-25,21:06:09 | INFO | Train Epoch: 12 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062474 (0.077389) Loss: 0.062474 (0.077389)
2025-08-25,21:07:18 | INFO | Train Epoch: 12 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060009 (0.077321) Loss: 0.060009 (0.077321)
2025-08-25,21:08:28 | INFO | Train Epoch: 12 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055839 (0.077238) Loss: 0.055839 (0.077238)
2025-08-25,21:09:38 | INFO | Train Epoch: 12 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087889 (0.077279) Loss: 0.087889 (0.077279)
2025-08-25,21:10:48 | INFO | Train Epoch: 12 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10367 (0.077380) Loss: 0.10367 (0.077380)
2025-08-25,21:11:57 | INFO | Train Epoch: 12 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071329 (0.077357) Loss: 0.071329 (0.077357)
2025-08-25,21:13:07 | INFO | Train Epoch: 12 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070381 (0.077331) Loss: 0.070381 (0.077331)
2025-08-25,21:14:17 | INFO | Train Epoch: 12 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082401 (0.077350) Loss: 0.082401 (0.077350)
2025-08-25,21:15:26 | INFO | Train Epoch: 12 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068533 (0.077317) Loss: 0.068533 (0.077317)
2025-08-25,21:16:36 | INFO | Train Epoch: 12 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058140 (0.077245) Loss: 0.058140 (0.077245)
2025-08-25,21:17:46 | INFO | Train Epoch: 12 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072854 (0.077228) Loss: 0.072854 (0.077228)
2025-08-25,21:18:56 | INFO | Train Epoch: 12 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048162 (0.077120) Loss: 0.048162 (0.077120)
2025-08-25,21:20:06 | INFO | Train Epoch: 12 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070871 (0.077096) Loss: 0.070871 (0.077096)
2025-08-25,21:21:16 | INFO | Train Epoch: 12 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074338 (0.077086) Loss: 0.074338 (0.077086)
2025-08-25,21:22:25 | INFO | Train Epoch: 12 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067070 (0.077049) Loss: 0.067070 (0.077049)
2025-08-25,21:23:35 | INFO | Train Epoch: 12 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052064 (0.076957) Loss: 0.052064 (0.076957)
2025-08-25,21:24:45 | INFO | Train Epoch: 12 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083135 (0.076980) Loss: 0.083135 (0.076980)
2025-08-25,21:25:55 | INFO | Train Epoch: 12 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047409 (0.076872) Loss: 0.047409 (0.076872)
2025-08-25,21:27:04 | INFO | Train Epoch: 12 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082250 (0.076892) Loss: 0.082250 (0.076892)
2025-08-25,21:28:14 | INFO | Train Epoch: 12 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098212 (0.076969) Loss: 0.098212 (0.076969)
2025-08-25,21:29:24 | INFO | Train Epoch: 12 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046882 (0.076860) Loss: 0.046882 (0.076860)
2025-08-25,21:30:34 | INFO | Train Epoch: 12 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099668 (0.076942) Loss: 0.099668 (0.076942)
2025-08-25,21:31:43 | INFO | Train Epoch: 12 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089647 (0.076988) Loss: 0.089647 (0.076988)
2025-08-25,21:32:53 | INFO | Train Epoch: 12 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076707 (0.076987) Loss: 0.076707 (0.076987)
2025-08-25,21:34:02 | INFO | Train Epoch: 12 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046084 (0.076877) Loss: 0.046084 (0.076877)
2025-08-25,21:35:12 | INFO | Train Epoch: 12 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081962 (0.076895) Loss: 0.081962 (0.076895)
2025-08-25,21:36:22 | INFO | Train Epoch: 12 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069604 (0.076869) Loss: 0.069604 (0.076869)
2025-08-25,21:37:31 | INFO | Train Epoch: 12 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086062 (0.076902) Loss: 0.086062 (0.076902)
2025-08-25,21:38:41 | INFO | Train Epoch: 12 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10644 (0.077005) Loss: 0.10644 (0.077005)
2025-08-25,21:39:51 | INFO | Train Epoch: 12 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064722 (0.076962) Loss: 0.064722 (0.076962)
2025-08-25,21:41:01 | INFO | Train Epoch: 12 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070363 (0.076939) Loss: 0.070363 (0.076939)
2025-08-25,21:42:10 | INFO | Train Epoch: 12 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075445 (0.076934) Loss: 0.075445 (0.076934)
2025-08-25,21:43:20 | INFO | Train Epoch: 12 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078845 (0.076941) Loss: 0.078845 (0.076941)
2025-08-25,21:44:30 | INFO | Train Epoch: 12 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062776 (0.076892) Loss: 0.062776 (0.076892)
2025-08-25,21:45:40 | INFO | Train Epoch: 12 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074963 (0.076885) Loss: 0.074963 (0.076885)
2025-08-25,21:46:49 | INFO | Train Epoch: 12 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074801 (0.076878) Loss: 0.074801 (0.076878)
2025-08-25,21:47:59 | INFO | Train Epoch: 12 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047209 (0.076777) Loss: 0.047209 (0.076777)
2025-08-25,21:49:09 | INFO | Train Epoch: 12 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066859 (0.076743) Loss: 0.066859 (0.076743)
2025-08-25,21:50:18 | INFO | Train Epoch: 12 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078041 (0.076747) Loss: 0.078041 (0.076747)
2025-08-25,21:51:28 | INFO | Train Epoch: 12 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079909 (0.076758) Loss: 0.079909 (0.076758)
2025-08-25,21:52:37 | INFO | Train Epoch: 12 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061195 (0.076706) Loss: 0.061195 (0.076706)
2025-08-25,21:53:47 | INFO | Train Epoch: 12 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093054 (0.076761) Loss: 0.093054 (0.076761)
2025-08-25,21:54:57 | INFO | Train Epoch: 12 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083104 (0.076782) Loss: 0.083104 (0.076782)
2025-08-25,21:56:07 | INFO | Train Epoch: 12 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086081 (0.076813) Loss: 0.086081 (0.076813)
2025-08-25,21:57:17 | INFO | Train Epoch: 12 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099693 (0.076889) Loss: 0.099693 (0.076889)
2025-08-25,21:58:27 | INFO | Train Epoch: 12 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10362 (0.076977) Loss: 0.10362 (0.076977)
2025-08-25,21:59:36 | INFO | Train Epoch: 12 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085380 (0.077005) Loss: 0.085380 (0.077005)
2025-08-25,22:00:46 | INFO | Train Epoch: 12 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046756 (0.076906) Loss: 0.046756 (0.076906)
2025-08-25,22:01:56 | INFO | Train Epoch: 12 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084644 (0.076931) Loss: 0.084644 (0.076931)
2025-08-25,22:03:06 | INFO | Train Epoch: 12 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10962 (0.077038) Loss: 0.10962 (0.077038)
2025-08-25,22:04:16 | INFO | Train Epoch: 12 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090537 (0.077082) Loss: 0.090537 (0.077082)
2025-08-25,22:05:26 | INFO | Train Epoch: 12 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10240 (0.077164) Loss: 0.10240 (0.077164)
2025-08-25,22:06:35 | INFO | Train Epoch: 12 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065431 (0.077126) Loss: 0.065431 (0.077126)
2025-08-25,22:07:45 | INFO | Train Epoch: 12 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11201 (0.077239) Loss: 0.11201 (0.077239)
2025-08-25,22:08:55 | INFO | Train Epoch: 12 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085939 (0.077267) Loss: 0.085939 (0.077267)
2025-08-25,22:10:05 | INFO | Train Epoch: 12 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079290 (0.077273) Loss: 0.079290 (0.077273)
2025-08-25,22:11:15 | INFO | Train Epoch: 12 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073705 (0.077262) Loss: 0.073705 (0.077262)
2025-08-25,22:12:24 | INFO | Train Epoch: 12 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085387 (0.077287) Loss: 0.085387 (0.077287)
2025-08-25,22:13:34 | INFO | Train Epoch: 12 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11676 (0.077413) Loss: 0.11676 (0.077413)
2025-08-25,22:14:44 | INFO | Train Epoch: 12 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065816 (0.077376) Loss: 0.065816 (0.077376)
2025-08-25,22:15:54 | INFO | Train Epoch: 12 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10814 (0.077473) Loss: 0.10814 (0.077473)
2025-08-25,22:17:04 | INFO | Train Epoch: 12 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085635 (0.077499) Loss: 0.085635 (0.077499)
2025-08-25,22:18:13 | INFO | Train Epoch: 12 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051270 (0.077417) Loss: 0.051270 (0.077417)
2025-08-25,22:19:23 | INFO | Train Epoch: 12 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077067 (0.077415) Loss: 0.077067 (0.077415)
2025-08-25,22:20:33 | INFO | Train Epoch: 12 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078663 (0.077419) Loss: 0.078663 (0.077419)
2025-08-25,22:21:43 | INFO | Train Epoch: 12 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043967 (0.077315) Loss: 0.043967 (0.077315)
2025-08-25,22:22:53 | INFO | Train Epoch: 12 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047033 (0.077222) Loss: 0.047033 (0.077222)
2025-08-25,22:24:02 | INFO | Train Epoch: 12 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072318 (0.077207) Loss: 0.072318 (0.077207)
2025-08-25,22:25:12 | INFO | Train Epoch: 12 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066128 (0.077173) Loss: 0.066128 (0.077173)
2025-08-25,22:26:22 | INFO | Train Epoch: 12 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063785 (0.077131) Loss: 0.063785 (0.077131)
2025-08-25,22:27:32 | INFO | Train Epoch: 12 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077330 (0.077132) Loss: 0.077330 (0.077132)
2025-08-25,22:28:42 | INFO | Train Epoch: 12 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064947 (0.077095) Loss: 0.064947 (0.077095)
2025-08-25,22:29:52 | INFO | Train Epoch: 12 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063708 (0.077054) Loss: 0.063708 (0.077054)
2025-08-25,22:31:02 | INFO | Train Epoch: 12 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050445 (0.076974) Loss: 0.050445 (0.076974)
2025-08-25,22:32:11 | INFO | Train Epoch: 12 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.090620 (0.077015) Loss: 0.090620 (0.077015)
2025-08-25,22:33:21 | INFO | Train Epoch: 12 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079868 (0.077023) Loss: 0.079868 (0.077023)
2025-08-25,22:34:31 | INFO | Train Epoch: 12 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041986 (0.076918) Loss: 0.041986 (0.076918)
2025-08-25,22:35:41 | INFO | Train Epoch: 12 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062920 (0.076876) Loss: 0.062920 (0.076876)
2025-08-25,22:36:50 | INFO | Train Epoch: 12 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085448 (0.076902) Loss: 0.085448 (0.076902)
2025-08-25,22:38:00 | INFO | Train Epoch: 12 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053890 (0.076833) Loss: 0.053890 (0.076833)
2025-08-25,22:39:10 | INFO | Train Epoch: 12 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058878 (0.076780) Loss: 0.058878 (0.076780)
2025-08-25,22:40:20 | INFO | Train Epoch: 12 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10542 (0.076865) Loss: 0.10542 (0.076865)
2025-08-25,22:41:29 | INFO | Train Epoch: 12 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076153 (0.076863) Loss: 0.076153 (0.076863)
2025-08-25,22:42:39 | INFO | Train Epoch: 12 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072398 (0.076850) Loss: 0.072398 (0.076850)
2025-08-25,22:43:49 | INFO | Train Epoch: 12 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11632 (0.076965) Loss: 0.11632 (0.076965)
2025-08-25,22:44:59 | INFO | Train Epoch: 12 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086477 (0.076993) Loss: 0.086477 (0.076993)
2025-08-25,22:46:09 | INFO | Train Epoch: 12 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10047 (0.077062) Loss: 0.10047 (0.077062)
2025-08-25,22:47:18 | INFO | Train Epoch: 12 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10976 (0.077157) Loss: 0.10976 (0.077157)
2025-08-25,22:48:28 | INFO | Train Epoch: 12 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091361 (0.077198) Loss: 0.091361 (0.077198)
2025-08-25,22:49:38 | INFO | Train Epoch: 12 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050491 (0.077121) Loss: 0.050491 (0.077121)
2025-08-25,22:50:48 | INFO | Train Epoch: 12 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080299 (0.077130) Loss: 0.080299 (0.077130)
2025-08-25,22:51:58 | INFO | Train Epoch: 12 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077744 (0.077132) Loss: 0.077744 (0.077132)
2025-08-25,22:53:08 | INFO | Train Epoch: 12 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078918 (0.077137) Loss: 0.078918 (0.077137)
2025-08-25,22:54:17 | INFO | Train Epoch: 12 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076890 (0.077136) Loss: 0.076890 (0.077136)
2025-08-25,22:55:27 | INFO | Train Epoch: 12 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085446 (0.077160) Loss: 0.085446 (0.077160)
2025-08-25,22:56:37 | INFO | Train Epoch: 12 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072034 (0.077145) Loss: 0.072034 (0.077145)
2025-08-25,22:57:47 | INFO | Train Epoch: 12 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.099056 (0.077207) Loss: 0.099056 (0.077207)
2025-08-25,22:58:57 | INFO | Train Epoch: 12 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059220 (0.077156) Loss: 0.059220 (0.077156)
2025-08-25,23:00:06 | INFO | Train Epoch: 12 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071145 (0.077139) Loss: 0.071145 (0.077139)
2025-08-25,23:01:16 | INFO | Train Epoch: 12 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052913 (0.077071) Loss: 0.052913 (0.077071)
2025-08-25,23:02:26 | INFO | Train Epoch: 12 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075692 (0.077068) Loss: 0.075692 (0.077068)
2025-08-25,23:03:36 | INFO | Train Epoch: 12 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065985 (0.077037) Loss: 0.065985 (0.077037)
2025-08-25,23:04:45 | INFO | Train Epoch: 12 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10378 (0.077111) Loss: 0.10378 (0.077111)
2025-08-25,23:05:55 | INFO | Train Epoch: 12 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066426 (0.077081) Loss: 0.066426 (0.077081)
2025-08-25,23:07:05 | INFO | Train Epoch: 12 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092285 (0.077123) Loss: 0.092285 (0.077123)
2025-08-25,23:08:15 | INFO | Train Epoch: 12 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088482 (0.077155) Loss: 0.088482 (0.077155)
2025-08-25,23:09:25 | INFO | Train Epoch: 12 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068379 (0.077131) Loss: 0.068379 (0.077131)
2025-08-25,23:10:34 | INFO | Train Epoch: 12 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11054 (0.077222) Loss: 0.11054 (0.077222)
2025-08-25,23:11:44 | INFO | Train Epoch: 12 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051383 (0.077152) Loss: 0.051383 (0.077152)
2025-08-25,23:12:54 | INFO | Train Epoch: 12 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064816 (0.077118) Loss: 0.064816 (0.077118)
2025-08-25,23:14:04 | INFO | Train Epoch: 12 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064994 (0.077085) Loss: 0.064994 (0.077085)
2025-08-25,23:15:14 | INFO | Train Epoch: 12 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085409 (0.077108) Loss: 0.085409 (0.077108)
2025-08-25,23:16:24 | INFO | Train Epoch: 12 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056859 (0.077053) Loss: 0.056859 (0.077053)
2025-08-25,23:17:34 | INFO | Train Epoch: 12 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094752 (0.077101) Loss: 0.094752 (0.077101)
2025-08-25,23:18:43 | INFO | Train Epoch: 12 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054860 (0.077041) Loss: 0.054860 (0.077041)
2025-08-25,23:19:53 | INFO | Train Epoch: 12 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089573 (0.077074) Loss: 0.089573 (0.077074)
2025-08-25,23:21:03 | INFO | Train Epoch: 12 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074584 (0.077068) Loss: 0.074584 (0.077068)
2025-08-25,23:22:13 | INFO | Train Epoch: 12 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061287 (0.077025) Loss: 0.061287 (0.077025)
2025-08-25,23:23:22 | INFO | Train Epoch: 12 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084261 (0.077045) Loss: 0.084261 (0.077045)
2025-08-25,23:24:32 | INFO | Train Epoch: 12 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070305 (0.077027) Loss: 0.070305 (0.077027)
2025-08-25,23:25:42 | INFO | Train Epoch: 12 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088253 (0.077057) Loss: 0.088253 (0.077057)
2025-08-25,23:26:51 | INFO | Train Epoch: 12 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087119 (0.077083) Loss: 0.087119 (0.077083)
2025-08-25,23:28:01 | INFO | Train Epoch: 12 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071110 (0.077067) Loss: 0.071110 (0.077067)
2025-08-25,23:29:11 | INFO | Train Epoch: 12 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062567 (0.077029) Loss: 0.062567 (0.077029)
2025-08-25,23:30:21 | INFO | Train Epoch: 12 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067787 (0.077005) Loss: 0.067787 (0.077005)
2025-08-25,23:31:30 | INFO | Train Epoch: 12 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083875 (0.077023) Loss: 0.083875 (0.077023)
2025-08-25,23:32:40 | INFO | Train Epoch: 12 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092622 (0.077064) Loss: 0.092622 (0.077064)
2025-08-25,23:33:50 | INFO | Train Epoch: 12 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064983 (0.077032) Loss: 0.064983 (0.077032)
2025-08-25,23:35:00 | INFO | Train Epoch: 12 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048807 (0.076959) Loss: 0.048807 (0.076959)
2025-08-25,23:36:09 | INFO | Train Epoch: 12 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.093263 (0.077001) Loss: 0.093263 (0.077001)
2025-08-25,23:37:19 | INFO | Train Epoch: 12 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092186 (0.077040) Loss: 0.092186 (0.077040)
2025-08-25,23:38:29 | INFO | Train Epoch: 12 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062868 (0.077004) Loss: 0.062868 (0.077004)
2025-08-25,23:39:38 | INFO | Train Epoch: 12 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087862 (0.077032) Loss: 0.087862 (0.077032)
2025-08-25,23:40:48 | INFO | Train Epoch: 12 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061855 (0.076993) Loss: 0.061855 (0.076993)
2025-08-25,23:41:58 | INFO | Train Epoch: 12 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069339 (0.076973) Loss: 0.069339 (0.076973)
2025-08-25,23:43:08 | INFO | Train Epoch: 12 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075365 (0.076969) Loss: 0.075365 (0.076969)
2025-08-25,23:44:18 | INFO | Train Epoch: 12 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059380 (0.076924) Loss: 0.059380 (0.076924)
2025-08-25,23:45:28 | INFO | Train Epoch: 12 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079127 (0.076930) Loss: 0.079127 (0.076930)
2025-08-25,23:46:38 | INFO | Train Epoch: 12 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074170 (0.076923) Loss: 0.074170 (0.076923)
2025-08-25,23:47:48 | INFO | Train Epoch: 12 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071769 (0.076910) Loss: 0.071769 (0.076910)
2025-08-25,23:48:57 | INFO | Train Epoch: 12 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072409 (0.076899) Loss: 0.072409 (0.076899)
2025-08-25,23:50:07 | INFO | Train Epoch: 12 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097297 (0.076950) Loss: 0.097297 (0.076950)
2025-08-25,23:51:17 | INFO | Train Epoch: 12 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098058 (0.077003) Loss: 0.098058 (0.077003)
2025-08-25,23:52:27 | INFO | Train Epoch: 12 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081827 (0.077015) Loss: 0.081827 (0.077015)
2025-08-25,23:53:36 | INFO | Train Epoch: 12 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055164 (0.076960) Loss: 0.055164 (0.076960)
2025-08-25,23:54:46 | INFO | Train Epoch: 12 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064982 (0.076931) Loss: 0.064982 (0.076931)
2025-08-25,23:55:56 | INFO | Train Epoch: 12 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057488 (0.076882) Loss: 0.057488 (0.076882)
2025-08-25,23:57:06 | INFO | Train Epoch: 12 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075619 (0.076879) Loss: 0.075619 (0.076879)
2025-08-25,23:58:16 | INFO | Train Epoch: 12 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084000 (0.076897) Loss: 0.084000 (0.076897)
2025-08-25,23:59:25 | INFO | Train Epoch: 12 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10376 (0.076963) Loss: 0.10376 (0.076963)
2025-08-26,00:00:35 | INFO | Train Epoch: 12 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063127 (0.076929) Loss: 0.063127 (0.076929)
2025-08-26,00:01:45 | INFO | Train Epoch: 12 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081157 (0.076939) Loss: 0.081157 (0.076939)
2025-08-26,00:02:54 | INFO | Train Epoch: 12 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080222 (0.076947) Loss: 0.080222 (0.076947)
2025-08-26,00:04:04 | INFO | Train Epoch: 12 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054757 (0.076893) Loss: 0.054757 (0.076893)
2025-08-26,00:05:14 | INFO | Train Epoch: 12 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041882 (0.076808) Loss: 0.041882 (0.076808)
2025-08-26,00:06:24 | INFO | Train Epoch: 12 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063065 (0.076775) Loss: 0.063065 (0.076775)
2025-08-26,00:07:33 | INFO | Train Epoch: 12 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087878 (0.076802) Loss: 0.087878 (0.076802)
2025-08-26,00:08:43 | INFO | Train Epoch: 12 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078735 (0.076806) Loss: 0.078735 (0.076806)
2025-08-26,00:09:53 | INFO | Train Epoch: 12 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068985 (0.076787) Loss: 0.068985 (0.076787)
2025-08-26,00:11:02 | INFO | Train Epoch: 12 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052919 (0.076730) Loss: 0.052919 (0.076730)
2025-08-26,00:12:12 | INFO | Train Epoch: 12 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083093 (0.076745) Loss: 0.083093 (0.076745)
2025-08-26,00:13:22 | INFO | Train Epoch: 12 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086567 (0.076769) Loss: 0.086567 (0.076769)
2025-08-26,00:14:32 | INFO | Train Epoch: 12 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048149 (0.076700) Loss: 0.048149 (0.076700)
2025-08-26,00:15:41 | INFO | Train Epoch: 12 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075567 (0.076698) Loss: 0.075567 (0.076698)
2025-08-26,00:16:51 | INFO | Train Epoch: 12 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080196 (0.076706) Loss: 0.080196 (0.076706)
2025-08-26,00:18:01 | INFO | Train Epoch: 12 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086767 (0.076730) Loss: 0.086767 (0.076730)
2025-08-26,00:19:10 | INFO | Train Epoch: 12 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071475 (0.076718) Loss: 0.071475 (0.076718)
2025-08-26,00:20:20 | INFO | Train Epoch: 12 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086307 (0.076740) Loss: 0.086307 (0.076740)
2025-08-26,00:21:30 | INFO | Train Epoch: 12 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073514 (0.076733) Loss: 0.073514 (0.076733)
2025-08-26,00:22:39 | INFO | Train Epoch: 12 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065807 (0.076707) Loss: 0.065807 (0.076707)
2025-08-26,00:23:49 | INFO | Train Epoch: 12 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070102 (0.076691) Loss: 0.070102 (0.076691)
2025-08-26,00:24:59 | INFO | Train Epoch: 12 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071663 (0.076680) Loss: 0.071663 (0.076680)
2025-08-26,00:26:09 | INFO | Train Epoch: 12 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074588 (0.076675) Loss: 0.074588 (0.076675)
2025-08-26,00:27:19 | INFO | Train Epoch: 12 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053751 (0.076621) Loss: 0.053751 (0.076621)
2025-08-26,00:28:28 | INFO | Train Epoch: 12 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060122 (0.076583) Loss: 0.060122 (0.076583)
2025-08-26,00:29:38 | INFO | Train Epoch: 12 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044056 (0.076508) Loss: 0.044056 (0.076508)
2025-08-26,00:30:48 | INFO | Train Epoch: 12 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078994 (0.076514) Loss: 0.078994 (0.076514)
2025-08-26,00:31:58 | INFO | Train Epoch: 12 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058974 (0.076473) Loss: 0.058974 (0.076473)
2025-08-26,00:33:07 | INFO | Train Epoch: 12 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071756 (0.076462) Loss: 0.071756 (0.076462)
2025-08-26,00:34:17 | INFO | Train Epoch: 12 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074595 (0.076458) Loss: 0.074595 (0.076458)
2025-08-26,00:35:27 | INFO | Train Epoch: 12 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076162 (0.076457) Loss: 0.076162 (0.076457)
2025-08-26,00:36:37 | INFO | Train Epoch: 12 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078878 (0.076463) Loss: 0.078878 (0.076463)
2025-08-26,00:37:47 | INFO | Train Epoch: 12 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076711 (0.076464) Loss: 0.076711 (0.076464)
2025-08-26,00:38:56 | INFO | Train Epoch: 12 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068881 (0.076446) Loss: 0.068881 (0.076446)
2025-08-26,00:40:06 | INFO | Train Epoch: 12 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069793 (0.076431) Loss: 0.069793 (0.076431)
2025-08-26,00:41:16 | INFO | Train Epoch: 12 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087458 (0.076456) Loss: 0.087458 (0.076456)
2025-08-26,00:42:26 | INFO | Train Epoch: 12 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048812 (0.076394) Loss: 0.048812 (0.076394)
2025-08-26,00:43:36 | INFO | Train Epoch: 12 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084405 (0.076412) Loss: 0.084405 (0.076412)
2025-08-26,00:44:46 | INFO | Train Epoch: 12 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068825 (0.076395) Loss: 0.068825 (0.076395)
2025-08-26,00:45:55 | INFO | Train Epoch: 12 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086722 (0.076418) Loss: 0.086722 (0.076418)
2025-08-26,00:47:05 | INFO | Train Epoch: 12 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061831 (0.076385) Loss: 0.061831 (0.076385)
2025-08-26,00:48:15 | INFO | Train Epoch: 12 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064096 (0.076358) Loss: 0.064096 (0.076358)
2025-08-26,00:49:25 | INFO | Train Epoch: 12 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054608 (0.076309) Loss: 0.054608 (0.076309)
2025-08-26,00:50:35 | INFO | Train Epoch: 12 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067106 (0.076289) Loss: 0.067106 (0.076289)
2025-08-26,00:51:44 | INFO | Train Epoch: 12 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054441 (0.076241) Loss: 0.054441 (0.076241)
2025-08-26,00:52:54 | INFO | Train Epoch: 12 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054069 (0.076191) Loss: 0.054069 (0.076191)
2025-08-26,00:54:04 | INFO | Train Epoch: 12 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092027 (0.076226) Loss: 0.092027 (0.076226)
2025-08-26,00:55:14 | INFO | Train Epoch: 12 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10434 (0.076288) Loss: 0.10434 (0.076288)
2025-08-26,00:56:24 | INFO | Train Epoch: 12 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058036 (0.076248) Loss: 0.058036 (0.076248)
2025-08-26,00:57:33 | INFO | Train Epoch: 12 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064687 (0.076223) Loss: 0.064687 (0.076223)
2025-08-26,00:58:43 | INFO | Train Epoch: 12 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11074 (0.076298) Loss: 0.11074 (0.076298)
2025-08-26,00:59:53 | INFO | Train Epoch: 12 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056339 (0.076255) Loss: 0.056339 (0.076255)
2025-08-26,01:01:03 | INFO | Train Epoch: 12 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064769 (0.076230) Loss: 0.064769 (0.076230)
2025-08-26,01:02:12 | INFO | Train Epoch: 12 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082201 (0.076243) Loss: 0.082201 (0.076243)
2025-08-26,01:03:22 | INFO | Train Epoch: 12 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054310 (0.076195) Loss: 0.054310 (0.076195)
2025-08-26,01:04:32 | INFO | Train Epoch: 12 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059493 (0.076159) Loss: 0.059493 (0.076159)
2025-08-26,01:05:42 | INFO | Train Epoch: 12 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060259 (0.076125) Loss: 0.060259 (0.076125)
2025-08-26,01:06:51 | INFO | Train Epoch: 12 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068133 (0.076107) Loss: 0.068133 (0.076107)
2025-08-26,01:08:01 | INFO | Train Epoch: 12 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052225 (0.076056) Loss: 0.052225 (0.076056)
2025-08-26,01:09:11 | INFO | Train Epoch: 12 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080159 (0.076065) Loss: 0.080159 (0.076065)
2025-08-26,01:10:21 | INFO | Train Epoch: 12 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059273 (0.076029) Loss: 0.059273 (0.076029)
2025-08-26,01:11:30 | INFO | Train Epoch: 12 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081034 (0.076040) Loss: 0.081034 (0.076040)
2025-08-26,01:12:40 | INFO | Train Epoch: 12 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075080 (0.076038) Loss: 0.075080 (0.076038)
2025-08-26,01:13:50 | INFO | Train Epoch: 12 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075928 (0.076037) Loss: 0.075928 (0.076037)
2025-08-26,01:15:00 | INFO | Train Epoch: 12 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069950 (0.076024) Loss: 0.069950 (0.076024)
2025-08-26,01:16:10 | INFO | Train Epoch: 12 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041888 (0.075952) Loss: 0.041888 (0.075952)
2025-08-26,01:17:20 | INFO | Train Epoch: 12 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073588 (0.075947) Loss: 0.073588 (0.075947)
2025-08-26,01:18:29 | INFO | Train Epoch: 12 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069889 (0.075934) Loss: 0.069889 (0.075934)
2025-08-26,01:19:39 | INFO | Train Epoch: 12 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078910 (0.075941) Loss: 0.078910 (0.075941)
2025-08-26,01:20:49 | INFO | Train Epoch: 12 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064309 (0.075916) Loss: 0.064309 (0.075916)
2025-08-26,01:21:59 | INFO | Train Epoch: 12 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087133 (0.075940) Loss: 0.087133 (0.075940)
2025-08-26,01:23:09 | INFO | Train Epoch: 12 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074167 (0.075936) Loss: 0.074167 (0.075936)
2025-08-26,01:24:18 | INFO | Train Epoch: 12 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076924 (0.075938) Loss: 0.076924 (0.075938)
2025-08-26,01:25:28 | INFO | Train Epoch: 12 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056699 (0.075898) Loss: 0.056699 (0.075898)
2025-08-26,01:26:38 | INFO | Train Epoch: 12 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071741 (0.075889) Loss: 0.071741 (0.075889)
2025-08-26,01:27:48 | INFO | Train Epoch: 12 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085402 (0.075909) Loss: 0.085402 (0.075909)
2025-08-26,01:28:58 | INFO | Train Epoch: 12 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10208 (0.075963) Loss: 0.10208 (0.075963)
2025-08-26,01:30:07 | INFO | Train Epoch: 12 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074695 (0.075961) Loss: 0.074695 (0.075961)
2025-08-26,01:31:17 | INFO | Train Epoch: 12 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072081 (0.075953) Loss: 0.072081 (0.075953)
2025-08-26,01:32:27 | INFO | Train Epoch: 12 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11292 (0.076029) Loss: 0.11292 (0.076029)
2025-08-26,01:33:37 | INFO | Train Epoch: 12 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075412 (0.076027) Loss: 0.075412 (0.076027)
2025-08-26,01:34:46 | INFO | Train Epoch: 12 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075472 (0.076026) Loss: 0.075472 (0.076026)
2025-08-26,01:35:56 | INFO | Train Epoch: 12 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055079 (0.075983) Loss: 0.055079 (0.075983)
2025-08-26,01:37:06 | INFO | Train Epoch: 12 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080683 (0.075993) Loss: 0.080683 (0.075993)
2025-08-26,01:38:16 | INFO | Train Epoch: 12 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065492 (0.075972) Loss: 0.065492 (0.075972)
2025-08-26,01:39:26 | INFO | Train Epoch: 12 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084771 (0.075990) Loss: 0.084771 (0.075990)
2025-08-26,01:40:35 | INFO | Train Epoch: 12 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051466 (0.075940) Loss: 0.051466 (0.075940)
2025-08-26,01:41:45 | INFO | Train Epoch: 12 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088805 (0.075966) Loss: 0.088805 (0.075966)
2025-08-26,01:42:55 | INFO | Train Epoch: 12 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098217 (0.076011) Loss: 0.098217 (0.076011)
2025-08-26,01:44:05 | INFO | Train Epoch: 12 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096965 (0.076053) Loss: 0.096965 (0.076053)
2025-08-26,01:45:15 | INFO | Train Epoch: 12 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059782 (0.076020) Loss: 0.059782 (0.076020)
2025-08-26,01:46:25 | INFO | Train Epoch: 12 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052064 (0.075972) Loss: 0.052064 (0.075972)
2025-08-26,01:47:34 | INFO | Train Epoch: 12 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085596 (0.075991) Loss: 0.085596 (0.075991)
2025-08-26,01:48:44 | INFO | Train Epoch: 12 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10762 (0.076055) Loss: 0.10762 (0.076055)
2025-08-26,01:49:54 | INFO | Train Epoch: 12 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.092288 (0.076087) Loss: 0.092288 (0.076087)
2025-08-26,01:51:04 | INFO | Train Epoch: 12 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082988 (0.076101) Loss: 0.082988 (0.076101)
2025-08-26,01:52:13 | INFO | Train Epoch: 12 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061198 (0.076071) Loss: 0.061198 (0.076071)
2025-08-26,01:53:23 | INFO | Train Epoch: 12 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057268 (0.076034) Loss: 0.057268 (0.076034)
2025-08-26,01:54:33 | INFO | Train Epoch: 12 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078402 (0.076039) Loss: 0.078402 (0.076039)
2025-08-26,01:55:43 | INFO | Train Epoch: 12 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049832 (0.075987) Loss: 0.049832 (0.075987)
2025-08-26,01:56:52 | INFO | Train Epoch: 12 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055869 (0.075947) Loss: 0.055869 (0.075947)
2025-08-26,01:58:02 | INFO | Train Epoch: 12 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088376 (0.075972) Loss: 0.088376 (0.075972)
2025-08-26,01:59:12 | INFO | Train Epoch: 12 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094406 (0.076008) Loss: 0.094406 (0.076008)
2025-08-26,02:00:22 | INFO | Train Epoch: 12 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045504 (0.075948) Loss: 0.045504 (0.075948)
2025-08-26,02:01:32 | INFO | Train Epoch: 12 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064920 (0.075926) Loss: 0.064920 (0.075926)
2025-08-26,02:02:42 | INFO | Train Epoch: 12 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072931 (0.075921) Loss: 0.072931 (0.075921)
2025-08-26,02:03:51 | INFO | Train Epoch: 12 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063833 (0.075897) Loss: 0.063833 (0.075897)
2025-08-26,02:05:01 | INFO | Train Epoch: 12 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081799 (0.075909) Loss: 0.081799 (0.075909)
2025-08-26,02:06:11 | INFO | Train Epoch: 12 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049648 (0.075858) Loss: 0.049648 (0.075858)
2025-08-26,02:07:17 | INFO | Train Epoch: 12 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062431 (0.075832) Loss: 0.062431 (0.075832)
2025-08-26,02:07:17 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-26,02:07:17 | INFO | [Epoch 12] Average Step Time: 0.701s | Average GPU Memory: 43.4 GB
2025-08-26,02:07:17 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-26,02:07:17 | INFO | Starting zero-shot imagenet.
2025-08-26,02:07:17 | INFO | Building zero-shot classifier
2025-08-26,02:07:27 | INFO | Using classifier
2025-08-26,02:08:10 | INFO | Finished zero-shot imagenet.
2025-08-26,02:08:10 | INFO | Eval Epoch: 13 imagenet-zeroshot-val-top1: 0.3328	imagenet-zeroshot-val-top5: 0.6060
2025-08-26,02:08:11 | INFO | Start epoch 13
2025-08-26,02:08:13 | INFO | Train Epoch: 13 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053379 (0.053379) Loss: 0.053379 (0.053379)
2025-08-26,02:09:23 | INFO | Train Epoch: 13 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066401 (0.059890) Loss: 0.066401 (0.059890)
2025-08-26,02:10:32 | INFO | Train Epoch: 13 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042167 (0.053982) Loss: 0.042167 (0.053982)
2025-08-26,02:11:42 | INFO | Train Epoch: 13 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057426 (0.054843) Loss: 0.057426 (0.054843)
2025-08-26,02:12:51 | INFO | Train Epoch: 13 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041412 (0.052157) Loss: 0.041412 (0.052157)
2025-08-26,02:14:01 | INFO | Train Epoch: 13 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042310 (0.050516) Loss: 0.042310 (0.050516)
2025-08-26,02:15:10 | INFO | Train Epoch: 13 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064353 (0.052493) Loss: 0.064353 (0.052493)
2025-08-26,02:16:20 | INFO | Train Epoch: 13 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065014 (0.054058) Loss: 0.065014 (0.054058)
2025-08-26,02:17:29 | INFO | Train Epoch: 13 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035596 (0.052006) Loss: 0.035596 (0.052006)
2025-08-26,02:18:39 | INFO | Train Epoch: 13 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040371 (0.050843) Loss: 0.040371 (0.050843)
2025-08-26,02:19:48 | INFO | Train Epoch: 13 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068211 (0.052422) Loss: 0.068211 (0.052422)
2025-08-26,02:20:58 | INFO | Train Epoch: 13 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054254 (0.052575) Loss: 0.054254 (0.052575)
2025-08-26,02:22:07 | INFO | Train Epoch: 13 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075667 (0.054351) Loss: 0.075667 (0.054351)
2025-08-26,02:23:17 | INFO | Train Epoch: 13 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041380 (0.053424) Loss: 0.041380 (0.053424)
2025-08-26,02:24:26 | INFO | Train Epoch: 13 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069820 (0.054517) Loss: 0.069820 (0.054517)
2025-08-26,02:25:36 | INFO | Train Epoch: 13 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073677 (0.055715) Loss: 0.073677 (0.055715)
2025-08-26,02:26:46 | INFO | Train Epoch: 13 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037364 (0.054635) Loss: 0.037364 (0.054635)
2025-08-26,02:27:55 | INFO | Train Epoch: 13 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063058 (0.055103) Loss: 0.063058 (0.055103)
2025-08-26,02:29:05 | INFO | Train Epoch: 13 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052462 (0.054964) Loss: 0.052462 (0.054964)
2025-08-26,02:30:14 | INFO | Train Epoch: 13 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044598 (0.054446) Loss: 0.044598 (0.054446)
2025-08-26,02:31:24 | INFO | Train Epoch: 13 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050171 (0.054242) Loss: 0.050171 (0.054242)
2025-08-26,02:32:33 | INFO | Train Epoch: 13 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097487 (0.056208) Loss: 0.097487 (0.056208)
2025-08-26,02:33:43 | INFO | Train Epoch: 13 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043231 (0.055644) Loss: 0.043231 (0.055644)
2025-08-26,02:34:53 | INFO | Train Epoch: 13 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096174 (0.057333) Loss: 0.096174 (0.057333)
2025-08-26,02:36:02 | INFO | Train Epoch: 13 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074760 (0.058030) Loss: 0.074760 (0.058030)
2025-08-26,02:37:12 | INFO | Train Epoch: 13 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050159 (0.057727) Loss: 0.050159 (0.057727)
2025-08-26,02:38:22 | INFO | Train Epoch: 13 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069235 (0.058153) Loss: 0.069235 (0.058153)
2025-08-26,02:39:31 | INFO | Train Epoch: 13 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067681 (0.058494) Loss: 0.067681 (0.058494)
2025-08-26,02:40:41 | INFO | Train Epoch: 13 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087729 (0.059502) Loss: 0.087729 (0.059502)
2025-08-26,02:41:50 | INFO | Train Epoch: 13 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076608 (0.060072) Loss: 0.076608 (0.060072)
2025-08-26,02:43:00 | INFO | Train Epoch: 13 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045816 (0.059612) Loss: 0.045816 (0.059612)
2025-08-26,02:44:10 | INFO | Train Epoch: 13 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062075 (0.059689) Loss: 0.062075 (0.059689)
2025-08-26,02:45:19 | INFO | Train Epoch: 13 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049541 (0.059381) Loss: 0.049541 (0.059381)
2025-08-26,02:46:29 | INFO | Train Epoch: 13 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050002 (0.059106) Loss: 0.050002 (0.059106)
2025-08-26,02:47:39 | INFO | Train Epoch: 13 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052399 (0.058914) Loss: 0.052399 (0.058914)
2025-08-26,02:48:48 | INFO | Train Epoch: 13 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066059 (0.059112) Loss: 0.066059 (0.059112)
2025-08-26,02:49:58 | INFO | Train Epoch: 13 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074118 (0.059518) Loss: 0.074118 (0.059518)
2025-08-26,02:51:07 | INFO | Train Epoch: 13 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060300 (0.059539) Loss: 0.060300 (0.059539)
2025-08-26,02:52:17 | INFO | Train Epoch: 13 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069457 (0.059793) Loss: 0.069457 (0.059793)
2025-08-26,02:53:26 | INFO | Train Epoch: 13 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076335 (0.060206) Loss: 0.076335 (0.060206)
2025-08-26,02:54:36 | INFO | Train Epoch: 13 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048153 (0.059912) Loss: 0.048153 (0.059912)
2025-08-26,02:55:46 | INFO | Train Epoch: 13 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057228 (0.059849) Loss: 0.057228 (0.059849)
2025-08-26,02:56:55 | INFO | Train Epoch: 13 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040372 (0.059396) Loss: 0.040372 (0.059396)
2025-08-26,02:58:05 | INFO | Train Epoch: 13 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082317 (0.059917) Loss: 0.082317 (0.059917)
2025-08-26,02:59:14 | INFO | Train Epoch: 13 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061454 (0.059951) Loss: 0.061454 (0.059951)
2025-08-26,03:00:24 | INFO | Train Epoch: 13 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040964 (0.059538) Loss: 0.040964 (0.059538)
2025-08-26,03:01:33 | INFO | Train Epoch: 13 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080238 (0.059978) Loss: 0.080238 (0.059978)
2025-08-26,03:02:43 | INFO | Train Epoch: 13 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055491 (0.059885) Loss: 0.055491 (0.059885)
2025-08-26,03:03:53 | INFO | Train Epoch: 13 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066225 (0.060014) Loss: 0.066225 (0.060014)
2025-08-26,03:05:02 | INFO | Train Epoch: 13 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075444 (0.060323) Loss: 0.075444 (0.060323)
2025-08-26,03:06:12 | INFO | Train Epoch: 13 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057628 (0.060270) Loss: 0.057628 (0.060270)
2025-08-26,03:07:22 | INFO | Train Epoch: 13 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064058 (0.060343) Loss: 0.064058 (0.060343)
2025-08-26,03:08:32 | INFO | Train Epoch: 13 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073319 (0.060588) Loss: 0.073319 (0.060588)
2025-08-26,03:09:41 | INFO | Train Epoch: 13 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053711 (0.060460) Loss: 0.053711 (0.060460)
2025-08-26,03:10:51 | INFO | Train Epoch: 13 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069214 (0.060620) Loss: 0.069214 (0.060620)
2025-08-26,03:12:01 | INFO | Train Epoch: 13 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050949 (0.060447) Loss: 0.050949 (0.060447)
2025-08-26,03:13:11 | INFO | Train Epoch: 13 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070621 (0.060625) Loss: 0.070621 (0.060625)
2025-08-26,03:14:20 | INFO | Train Epoch: 13 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072621 (0.060832) Loss: 0.072621 (0.060832)
2025-08-26,03:15:30 | INFO | Train Epoch: 13 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057065 (0.060768) Loss: 0.057065 (0.060768)
2025-08-26,03:16:40 | INFO | Train Epoch: 13 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065055 (0.060840) Loss: 0.065055 (0.060840)
2025-08-26,03:17:50 | INFO | Train Epoch: 13 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050631 (0.060672) Loss: 0.050631 (0.060672)
2025-08-26,03:18:59 | INFO | Train Epoch: 13 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063211 (0.060713) Loss: 0.063211 (0.060713)
2025-08-26,03:20:09 | INFO | Train Epoch: 13 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078085 (0.060989) Loss: 0.078085 (0.060989)
2025-08-26,03:21:19 | INFO | Train Epoch: 13 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080270 (0.061290) Loss: 0.080270 (0.061290)
2025-08-26,03:22:29 | INFO | Train Epoch: 13 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079917 (0.061577) Loss: 0.079917 (0.061577)
2025-08-26,03:23:39 | INFO | Train Epoch: 13 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060911 (0.061567) Loss: 0.060911 (0.061567)
2025-08-26,03:24:48 | INFO | Train Epoch: 13 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061325 (0.061563) Loss: 0.061325 (0.061563)
2025-08-26,03:25:58 | INFO | Train Epoch: 13 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075323 (0.061766) Loss: 0.075323 (0.061766)
2025-08-26,03:27:08 | INFO | Train Epoch: 13 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087629 (0.062140) Loss: 0.087629 (0.062140)
2025-08-26,03:28:17 | INFO | Train Epoch: 13 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070724 (0.062263) Loss: 0.070724 (0.062263)
2025-08-26,03:29:27 | INFO | Train Epoch: 13 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073204 (0.062417) Loss: 0.073204 (0.062417)
2025-08-26,03:30:37 | INFO | Train Epoch: 13 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052223 (0.062275) Loss: 0.052223 (0.062275)
2025-08-26,03:31:46 | INFO | Train Epoch: 13 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061669 (0.062267) Loss: 0.061669 (0.062267)
2025-08-26,03:32:56 | INFO | Train Epoch: 13 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072121 (0.062400) Loss: 0.072121 (0.062400)
2025-08-26,03:34:06 | INFO | Train Epoch: 13 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051295 (0.062252) Loss: 0.051295 (0.062252)
2025-08-26,03:35:15 | INFO | Train Epoch: 13 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035960 (0.061906) Loss: 0.035960 (0.061906)
2025-08-26,03:36:25 | INFO | Train Epoch: 13 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086425 (0.062225) Loss: 0.086425 (0.062225)
2025-08-26,03:37:35 | INFO | Train Epoch: 13 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063607 (0.062242) Loss: 0.063607 (0.062242)
2025-08-26,03:38:45 | INFO | Train Epoch: 13 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049753 (0.062084) Loss: 0.049753 (0.062084)
2025-08-26,03:39:54 | INFO | Train Epoch: 13 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050233 (0.061936) Loss: 0.050233 (0.061936)
2025-08-26,03:41:04 | INFO | Train Epoch: 13 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075050 (0.062098) Loss: 0.075050 (0.062098)
2025-08-26,03:42:14 | INFO | Train Epoch: 13 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054008 (0.061999) Loss: 0.054008 (0.061999)
2025-08-26,03:43:23 | INFO | Train Epoch: 13 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068848 (0.062082) Loss: 0.068848 (0.062082)
2025-08-26,03:44:33 | INFO | Train Epoch: 13 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080573 (0.062302) Loss: 0.080573 (0.062302)
2025-08-26,03:45:43 | INFO | Train Epoch: 13 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059706 (0.062272) Loss: 0.059706 (0.062272)
2025-08-26,03:46:52 | INFO | Train Epoch: 13 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064292 (0.062295) Loss: 0.064292 (0.062295)
2025-08-26,03:48:02 | INFO | Train Epoch: 13 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058339 (0.062250) Loss: 0.058339 (0.062250)
2025-08-26,03:49:12 | INFO | Train Epoch: 13 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038858 (0.061984) Loss: 0.038858 (0.061984)
2025-08-26,03:50:21 | INFO | Train Epoch: 13 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044467 (0.061787) Loss: 0.044467 (0.061787)
2025-08-26,03:51:31 | INFO | Train Epoch: 13 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056959 (0.061733) Loss: 0.056959 (0.061733)
2025-08-26,03:52:41 | INFO | Train Epoch: 13 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053259 (0.061640) Loss: 0.053259 (0.061640)
2025-08-26,03:53:50 | INFO | Train Epoch: 13 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052151 (0.061537) Loss: 0.052151 (0.061537)
2025-08-26,03:55:00 | INFO | Train Epoch: 13 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065218 (0.061577) Loss: 0.065218 (0.061577)
2025-08-26,03:56:10 | INFO | Train Epoch: 13 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056968 (0.061528) Loss: 0.056968 (0.061528)
2025-08-26,03:57:19 | INFO | Train Epoch: 13 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066420 (0.061579) Loss: 0.066420 (0.061579)
2025-08-26,03:58:29 | INFO | Train Epoch: 13 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063239 (0.061596) Loss: 0.063239 (0.061596)
2025-08-26,03:59:39 | INFO | Train Epoch: 13 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056350 (0.061542) Loss: 0.056350 (0.061542)
2025-08-26,04:00:48 | INFO | Train Epoch: 13 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040088 (0.061323) Loss: 0.040088 (0.061323)
2025-08-26,04:01:58 | INFO | Train Epoch: 13 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060641 (0.061316) Loss: 0.060641 (0.061316)
2025-08-26,04:03:08 | INFO | Train Epoch: 13 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052282 (0.061226) Loss: 0.052282 (0.061226)
2025-08-26,04:04:17 | INFO | Train Epoch: 13 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063769 (0.061251) Loss: 0.063769 (0.061251)
2025-08-26,04:05:27 | INFO | Train Epoch: 13 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069708 (0.061334) Loss: 0.069708 (0.061334)
2025-08-26,04:06:37 | INFO | Train Epoch: 13 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074380 (0.061461) Loss: 0.074380 (0.061461)
2025-08-26,04:07:47 | INFO | Train Epoch: 13 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059748 (0.061444) Loss: 0.059748 (0.061444)
2025-08-26,04:08:56 | INFO | Train Epoch: 13 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085174 (0.061670) Loss: 0.085174 (0.061670)
2025-08-26,04:10:06 | INFO | Train Epoch: 13 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060943 (0.061664) Loss: 0.060943 (0.061664)
2025-08-26,04:11:16 | INFO | Train Epoch: 13 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053054 (0.061583) Loss: 0.053054 (0.061583)
2025-08-26,04:12:25 | INFO | Train Epoch: 13 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072277 (0.061682) Loss: 0.072277 (0.061682)
2025-08-26,04:13:35 | INFO | Train Epoch: 13 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063850 (0.061702) Loss: 0.063850 (0.061702)
2025-08-26,04:14:45 | INFO | Train Epoch: 13 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067412 (0.061754) Loss: 0.067412 (0.061754)
2025-08-26,04:15:54 | INFO | Train Epoch: 13 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089545 (0.062004) Loss: 0.089545 (0.062004)
2025-08-26,04:17:04 | INFO | Train Epoch: 13 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055063 (0.061942) Loss: 0.055063 (0.061942)
2025-08-26,04:18:14 | INFO | Train Epoch: 13 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046212 (0.061803) Loss: 0.046212 (0.061803)
2025-08-26,04:19:23 | INFO | Train Epoch: 13 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089947 (0.062050) Loss: 0.089947 (0.062050)
2025-08-26,04:20:33 | INFO | Train Epoch: 13 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079636 (0.062203) Loss: 0.079636 (0.062203)
2025-08-26,04:21:42 | INFO | Train Epoch: 13 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056354 (0.062152) Loss: 0.056354 (0.062152)
2025-08-26,04:22:52 | INFO | Train Epoch: 13 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052468 (0.062070) Loss: 0.052468 (0.062070)
2025-08-26,04:24:02 | INFO | Train Epoch: 13 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061614 (0.062066) Loss: 0.061614 (0.062066)
2025-08-26,04:25:11 | INFO | Train Epoch: 13 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064256 (0.062084) Loss: 0.064256 (0.062084)
2025-08-26,04:26:21 | INFO | Train Epoch: 13 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075937 (0.062200) Loss: 0.075937 (0.062200)
2025-08-26,04:27:31 | INFO | Train Epoch: 13 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075871 (0.062313) Loss: 0.075871 (0.062313)
2025-08-26,04:28:41 | INFO | Train Epoch: 13 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051128 (0.062221) Loss: 0.051128 (0.062221)
2025-08-26,04:29:50 | INFO | Train Epoch: 13 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053890 (0.062153) Loss: 0.053890 (0.062153)
2025-08-26,04:31:00 | INFO | Train Epoch: 13 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11460 (0.062576) Loss: 0.11460 (0.062576)
2025-08-26,04:32:09 | INFO | Train Epoch: 13 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071994 (0.062652) Loss: 0.071994 (0.062652)
2025-08-26,04:33:19 | INFO | Train Epoch: 13 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054292 (0.062585) Loss: 0.054292 (0.062585)
2025-08-26,04:34:29 | INFO | Train Epoch: 13 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052733 (0.062508) Loss: 0.052733 (0.062508)
2025-08-26,04:35:39 | INFO | Train Epoch: 13 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068549 (0.062555) Loss: 0.068549 (0.062555)
2025-08-26,04:36:48 | INFO | Train Epoch: 13 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058785 (0.062526) Loss: 0.058785 (0.062526)
2025-08-26,04:37:58 | INFO | Train Epoch: 13 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042109 (0.062369) Loss: 0.042109 (0.062369)
2025-08-26,04:39:08 | INFO | Train Epoch: 13 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074231 (0.062459) Loss: 0.074231 (0.062459)
2025-08-26,04:40:17 | INFO | Train Epoch: 13 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059744 (0.062439) Loss: 0.059744 (0.062439)
2025-08-26,04:41:27 | INFO | Train Epoch: 13 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.12643 (0.062920) Loss: 0.12643 (0.062920)
2025-08-26,04:42:37 | INFO | Train Epoch: 13 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066107 (0.062943) Loss: 0.066107 (0.062943)
2025-08-26,04:43:46 | INFO | Train Epoch: 13 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048582 (0.062837) Loss: 0.048582 (0.062837)
2025-08-26,04:44:56 | INFO | Train Epoch: 13 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066353 (0.062863) Loss: 0.066353 (0.062863)
2025-08-26,04:46:06 | INFO | Train Epoch: 13 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083998 (0.063017) Loss: 0.083998 (0.063017)
2025-08-26,04:47:16 | INFO | Train Epoch: 13 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075412 (0.063107) Loss: 0.075412 (0.063107)
2025-08-26,04:48:25 | INFO | Train Epoch: 13 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042726 (0.062960) Loss: 0.042726 (0.062960)
2025-08-26,04:49:35 | INFO | Train Epoch: 13 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046905 (0.062846) Loss: 0.046905 (0.062846)
2025-08-26,04:50:45 | INFO | Train Epoch: 13 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052666 (0.062773) Loss: 0.052666 (0.062773)
2025-08-26,04:51:55 | INFO | Train Epoch: 13 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064925 (0.062789) Loss: 0.064925 (0.062789)
2025-08-26,04:53:05 | INFO | Train Epoch: 13 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.089842 (0.062978) Loss: 0.089842 (0.062978)
2025-08-26,04:54:14 | INFO | Train Epoch: 13 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065489 (0.062995) Loss: 0.065489 (0.062995)
2025-08-26,04:55:24 | INFO | Train Epoch: 13 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058927 (0.062967) Loss: 0.058927 (0.062967)
2025-08-26,04:56:34 | INFO | Train Epoch: 13 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058940 (0.062940) Loss: 0.058940 (0.062940)
2025-08-26,04:57:44 | INFO | Train Epoch: 13 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059533 (0.062916) Loss: 0.059533 (0.062916)
2025-08-26,04:58:53 | INFO | Train Epoch: 13 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046671 (0.062807) Loss: 0.046671 (0.062807)
2025-08-26,05:00:03 | INFO | Train Epoch: 13 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052890 (0.062740) Loss: 0.052890 (0.062740)
2025-08-26,05:01:13 | INFO | Train Epoch: 13 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051767 (0.062667) Loss: 0.051767 (0.062667)
2025-08-26,05:02:22 | INFO | Train Epoch: 13 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073941 (0.062742) Loss: 0.073941 (0.062742)
2025-08-26,05:03:32 | INFO | Train Epoch: 13 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051116 (0.062665) Loss: 0.051116 (0.062665)
2025-08-26,05:04:42 | INFO | Train Epoch: 13 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074614 (0.062743) Loss: 0.074614 (0.062743)
2025-08-26,05:05:52 | INFO | Train Epoch: 13 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049544 (0.062658) Loss: 0.049544 (0.062658)
2025-08-26,05:07:01 | INFO | Train Epoch: 13 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043120 (0.062531) Loss: 0.043120 (0.062531)
2025-08-26,05:08:11 | INFO | Train Epoch: 13 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054924 (0.062483) Loss: 0.054924 (0.062483)
2025-08-26,05:09:21 | INFO | Train Epoch: 13 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059875 (0.062466) Loss: 0.059875 (0.062466)
2025-08-26,05:10:31 | INFO | Train Epoch: 13 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059016 (0.062444) Loss: 0.059016 (0.062444)
2025-08-26,05:11:40 | INFO | Train Epoch: 13 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051919 (0.062378) Loss: 0.051919 (0.062378)
2025-08-26,05:12:50 | INFO | Train Epoch: 13 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076794 (0.062468) Loss: 0.076794 (0.062468)
2025-08-26,05:14:00 | INFO | Train Epoch: 13 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069160 (0.062510) Loss: 0.069160 (0.062510)
2025-08-26,05:15:09 | INFO | Train Epoch: 13 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048929 (0.062426) Loss: 0.048929 (0.062426)
2025-08-26,05:16:19 | INFO | Train Epoch: 13 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074363 (0.062499) Loss: 0.074363 (0.062499)
2025-08-26,05:17:29 | INFO | Train Epoch: 13 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061530 (0.062493) Loss: 0.061530 (0.062493)
2025-08-26,05:18:38 | INFO | Train Epoch: 13 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.095502 (0.062693) Loss: 0.095502 (0.062693)
2025-08-26,05:19:48 | INFO | Train Epoch: 13 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067654 (0.062723) Loss: 0.067654 (0.062723)
2025-08-26,05:20:57 | INFO | Train Epoch: 13 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.034920 (0.062557) Loss: 0.034920 (0.062557)
2025-08-26,05:22:07 | INFO | Train Epoch: 13 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045782 (0.062457) Loss: 0.045782 (0.062457)
2025-08-26,05:23:17 | INFO | Train Epoch: 13 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062160 (0.062455) Loss: 0.062160 (0.062455)
2025-08-26,05:24:26 | INFO | Train Epoch: 13 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037370 (0.062308) Loss: 0.037370 (0.062308)
2025-08-26,05:25:36 | INFO | Train Epoch: 13 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.031625 (0.062128) Loss: 0.031625 (0.062128)
2025-08-26,05:26:46 | INFO | Train Epoch: 13 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081264 (0.062239) Loss: 0.081264 (0.062239)
2025-08-26,05:27:55 | INFO | Train Epoch: 13 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073492 (0.062304) Loss: 0.073492 (0.062304)
2025-08-26,05:29:05 | INFO | Train Epoch: 13 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066177 (0.062327) Loss: 0.066177 (0.062327)
2025-08-26,05:30:14 | INFO | Train Epoch: 13 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065300 (0.062344) Loss: 0.065300 (0.062344)
2025-08-26,05:31:24 | INFO | Train Epoch: 13 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054690 (0.062300) Loss: 0.054690 (0.062300)
2025-08-26,05:32:34 | INFO | Train Epoch: 13 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.096056 (0.062491) Loss: 0.096056 (0.062491)
2025-08-26,05:33:44 | INFO | Train Epoch: 13 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050021 (0.062421) Loss: 0.050021 (0.062421)
2025-08-26,05:34:54 | INFO | Train Epoch: 13 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077453 (0.062505) Loss: 0.077453 (0.062505)
2025-08-26,05:36:03 | INFO | Train Epoch: 13 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048334 (0.062426) Loss: 0.048334 (0.062426)
2025-08-26,05:37:13 | INFO | Train Epoch: 13 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087210 (0.062563) Loss: 0.087210 (0.062563)
2025-08-26,05:38:22 | INFO | Train Epoch: 13 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063752 (0.062570) Loss: 0.063752 (0.062570)
2025-08-26,05:39:32 | INFO | Train Epoch: 13 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058915 (0.062550) Loss: 0.058915 (0.062550)
2025-08-26,05:40:42 | INFO | Train Epoch: 13 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044446 (0.062451) Loss: 0.044446 (0.062451)
2025-08-26,05:41:52 | INFO | Train Epoch: 13 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094932 (0.062627) Loss: 0.094932 (0.062627)
2025-08-26,05:43:01 | INFO | Train Epoch: 13 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057922 (0.062601) Loss: 0.057922 (0.062601)
2025-08-26,05:44:11 | INFO | Train Epoch: 13 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079185 (0.062690) Loss: 0.079185 (0.062690)
2025-08-26,05:45:21 | INFO | Train Epoch: 13 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050145 (0.062623) Loss: 0.050145 (0.062623)
2025-08-26,05:46:30 | INFO | Train Epoch: 13 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042852 (0.062519) Loss: 0.042852 (0.062519)
2025-08-26,05:47:40 | INFO | Train Epoch: 13 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054242 (0.062475) Loss: 0.054242 (0.062475)
2025-08-26,05:48:50 | INFO | Train Epoch: 13 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10019 (0.062673) Loss: 0.10019 (0.062673)
2025-08-26,05:49:59 | INFO | Train Epoch: 13 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040023 (0.062555) Loss: 0.040023 (0.062555)
2025-08-26,05:51:09 | INFO | Train Epoch: 13 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064557 (0.062565) Loss: 0.064557 (0.062565)
2025-08-26,05:52:18 | INFO | Train Epoch: 13 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060580 (0.062555) Loss: 0.060580 (0.062555)
2025-08-26,05:53:28 | INFO | Train Epoch: 13 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057627 (0.062530) Loss: 0.057627 (0.062530)
2025-08-26,05:54:38 | INFO | Train Epoch: 13 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062757 (0.062531) Loss: 0.062757 (0.062531)
2025-08-26,05:55:47 | INFO | Train Epoch: 13 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043603 (0.062435) Loss: 0.043603 (0.062435)
2025-08-26,05:56:57 | INFO | Train Epoch: 13 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078281 (0.062515) Loss: 0.078281 (0.062515)
2025-08-26,05:58:07 | INFO | Train Epoch: 13 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053587 (0.062470) Loss: 0.053587 (0.062470)
2025-08-26,05:59:16 | INFO | Train Epoch: 13 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050556 (0.062410) Loss: 0.050556 (0.062410)
2025-08-26,06:00:26 | INFO | Train Epoch: 13 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043368 (0.062315) Loss: 0.043368 (0.062315)
2025-08-26,06:01:36 | INFO | Train Epoch: 13 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10784 (0.062541) Loss: 0.10784 (0.062541)
2025-08-26,06:02:45 | INFO | Train Epoch: 13 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11266 (0.062788) Loss: 0.11266 (0.062788)
2025-08-26,06:03:55 | INFO | Train Epoch: 13 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065343 (0.062800) Loss: 0.065343 (0.062800)
2025-08-26,06:05:05 | INFO | Train Epoch: 13 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073365 (0.062852) Loss: 0.073365 (0.062852)
2025-08-26,06:06:14 | INFO | Train Epoch: 13 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037512 (0.062729) Loss: 0.037512 (0.062729)
2025-08-26,06:07:24 | INFO | Train Epoch: 13 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073621 (0.062781) Loss: 0.073621 (0.062781)
2025-08-26,06:08:34 | INFO | Train Epoch: 13 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061568 (0.062776) Loss: 0.061568 (0.062776)
2025-08-26,06:09:43 | INFO | Train Epoch: 13 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056982 (0.062748) Loss: 0.056982 (0.062748)
2025-08-26,06:10:53 | INFO | Train Epoch: 13 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062084 (0.062745) Loss: 0.062084 (0.062745)
2025-08-26,06:12:03 | INFO | Train Epoch: 13 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054560 (0.062706) Loss: 0.054560 (0.062706)
2025-08-26,06:13:13 | INFO | Train Epoch: 13 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044828 (0.062622) Loss: 0.044828 (0.062622)
2025-08-26,06:14:22 | INFO | Train Epoch: 13 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070363 (0.062658) Loss: 0.070363 (0.062658)
2025-08-26,06:15:32 | INFO | Train Epoch: 13 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050248 (0.062600) Loss: 0.050248 (0.062600)
2025-08-26,06:16:42 | INFO | Train Epoch: 13 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040939 (0.062499) Loss: 0.040939 (0.062499)
2025-08-26,06:17:52 | INFO | Train Epoch: 13 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056020 (0.062469) Loss: 0.056020 (0.062469)
2025-08-26,06:19:01 | INFO | Train Epoch: 13 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039218 (0.062362) Loss: 0.039218 (0.062362)
2025-08-26,06:20:11 | INFO | Train Epoch: 13 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070224 (0.062398) Loss: 0.070224 (0.062398)
2025-08-26,06:21:21 | INFO | Train Epoch: 13 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082652 (0.062491) Loss: 0.082652 (0.062491)
2025-08-26,06:22:31 | INFO | Train Epoch: 13 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077013 (0.062557) Loss: 0.077013 (0.062557)
2025-08-26,06:23:41 | INFO | Train Epoch: 13 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053504 (0.062516) Loss: 0.053504 (0.062516)
2025-08-26,06:24:50 | INFO | Train Epoch: 13 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073790 (0.062566) Loss: 0.073790 (0.062566)
2025-08-26,06:26:00 | INFO | Train Epoch: 13 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055885 (0.062536) Loss: 0.055885 (0.062536)
2025-08-26,06:27:10 | INFO | Train Epoch: 13 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041034 (0.062440) Loss: 0.041034 (0.062440)
2025-08-26,06:28:20 | INFO | Train Epoch: 13 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066567 (0.062459) Loss: 0.066567 (0.062459)
2025-08-26,06:29:29 | INFO | Train Epoch: 13 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085396 (0.062560) Loss: 0.085396 (0.062560)
2025-08-26,06:30:39 | INFO | Train Epoch: 13 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075937 (0.062619) Loss: 0.075937 (0.062619)
2025-08-26,06:31:49 | INFO | Train Epoch: 13 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053056 (0.062577) Loss: 0.053056 (0.062577)
2025-08-26,06:32:59 | INFO | Train Epoch: 13 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058808 (0.062561) Loss: 0.058808 (0.062561)
2025-08-26,06:34:08 | INFO | Train Epoch: 13 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10486 (0.062745) Loss: 0.10486 (0.062745)
2025-08-26,06:35:18 | INFO | Train Epoch: 13 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047921 (0.062681) Loss: 0.047921 (0.062681)
2025-08-26,06:36:28 | INFO | Train Epoch: 13 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054366 (0.062645) Loss: 0.054366 (0.062645)
2025-08-26,06:37:38 | INFO | Train Epoch: 13 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074957 (0.062698) Loss: 0.074957 (0.062698)
2025-08-26,06:38:47 | INFO | Train Epoch: 13 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061527 (0.062693) Loss: 0.061527 (0.062693)
2025-08-26,06:39:57 | INFO | Train Epoch: 13 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058720 (0.062676) Loss: 0.058720 (0.062676)
2025-08-26,06:41:07 | INFO | Train Epoch: 13 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075454 (0.062730) Loss: 0.075454 (0.062730)
2025-08-26,06:42:17 | INFO | Train Epoch: 13 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060760 (0.062721) Loss: 0.060760 (0.062721)
2025-08-26,06:43:26 | INFO | Train Epoch: 13 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074443 (0.062771) Loss: 0.074443 (0.062771)
2025-08-26,06:44:36 | INFO | Train Epoch: 13 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076992 (0.062830) Loss: 0.076992 (0.062830)
2025-08-26,06:45:46 | INFO | Train Epoch: 13 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046032 (0.062760) Loss: 0.046032 (0.062760)
2025-08-26,06:46:56 | INFO | Train Epoch: 13 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079347 (0.062829) Loss: 0.079347 (0.062829)
2025-08-26,06:48:05 | INFO | Train Epoch: 13 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046027 (0.062760) Loss: 0.046027 (0.062760)
2025-08-26,06:49:15 | INFO | Train Epoch: 13 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060047 (0.062748) Loss: 0.060047 (0.062748)
2025-08-26,06:50:25 | INFO | Train Epoch: 13 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064920 (0.062757) Loss: 0.064920 (0.062757)
2025-08-26,06:51:35 | INFO | Train Epoch: 13 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062846 (0.062758) Loss: 0.062846 (0.062758)
2025-08-26,06:52:44 | INFO | Train Epoch: 13 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056433 (0.062732) Loss: 0.056433 (0.062732)
2025-08-26,06:53:54 | INFO | Train Epoch: 13 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058823 (0.062716) Loss: 0.058823 (0.062716)
2025-08-26,06:55:04 | INFO | Train Epoch: 13 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085461 (0.062808) Loss: 0.085461 (0.062808)
2025-08-26,06:56:14 | INFO | Train Epoch: 13 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070091 (0.062837) Loss: 0.070091 (0.062837)
2025-08-26,06:57:23 | INFO | Train Epoch: 13 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057943 (0.062818) Loss: 0.057943 (0.062818)
2025-08-26,06:58:33 | INFO | Train Epoch: 13 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067413 (0.062836) Loss: 0.067413 (0.062836)
2025-08-26,06:59:43 | INFO | Train Epoch: 13 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058102 (0.062817) Loss: 0.058102 (0.062817)
2025-08-26,07:00:53 | INFO | Train Epoch: 13 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054875 (0.062786) Loss: 0.054875 (0.062786)
2025-08-26,07:02:02 | INFO | Train Epoch: 13 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057837 (0.062766) Loss: 0.057837 (0.062766)
2025-08-26,07:03:12 | INFO | Train Epoch: 13 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087503 (0.062863) Loss: 0.087503 (0.062863)
2025-08-26,07:04:22 | INFO | Train Epoch: 13 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068850 (0.062887) Loss: 0.068850 (0.062887)
2025-08-26,07:05:31 | INFO | Train Epoch: 13 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043079 (0.062810) Loss: 0.043079 (0.062810)
2025-08-26,07:06:41 | INFO | Train Epoch: 13 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054860 (0.062779) Loss: 0.054860 (0.062779)
2025-08-26,07:07:51 | INFO | Train Epoch: 13 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084251 (0.062862) Loss: 0.084251 (0.062862)
2025-08-26,07:09:01 | INFO | Train Epoch: 13 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079569 (0.062926) Loss: 0.079569 (0.062926)
2025-08-26,07:10:11 | INFO | Train Epoch: 13 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051347 (0.062882) Loss: 0.051347 (0.062882)
2025-08-26,07:11:20 | INFO | Train Epoch: 13 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051705 (0.062839) Loss: 0.051705 (0.062839)
2025-08-26,07:12:30 | INFO | Train Epoch: 13 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046261 (0.062776) Loss: 0.046261 (0.062776)
2025-08-26,07:13:40 | INFO | Train Epoch: 13 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.087381 (0.062869) Loss: 0.087381 (0.062869)
2025-08-26,07:14:49 | INFO | Train Epoch: 13 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051472 (0.062826) Loss: 0.051472 (0.062826)
2025-08-26,07:15:59 | INFO | Train Epoch: 13 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.034007 (0.062718) Loss: 0.034007 (0.062718)
2025-08-26,07:17:09 | INFO | Train Epoch: 13 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052087 (0.062678) Loss: 0.052087 (0.062678)
2025-08-26,07:18:18 | INFO | Train Epoch: 13 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068561 (0.062700) Loss: 0.068561 (0.062700)
2025-08-26,07:19:28 | INFO | Train Epoch: 13 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047826 (0.062645) Loss: 0.047826 (0.062645)
2025-08-26,07:20:37 | INFO | Train Epoch: 13 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045956 (0.062583) Loss: 0.045956 (0.062583)
2025-08-26,07:21:47 | INFO | Train Epoch: 13 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060158 (0.062574) Loss: 0.060158 (0.062574)
2025-08-26,07:22:57 | INFO | Train Epoch: 13 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062263 (0.062573) Loss: 0.062263 (0.062573)
2025-08-26,07:24:07 | INFO | Train Epoch: 13 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051603 (0.062532) Loss: 0.051603 (0.062532)
2025-08-26,07:25:16 | INFO | Train Epoch: 13 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071539 (0.062565) Loss: 0.071539 (0.062565)
2025-08-26,07:26:26 | INFO | Train Epoch: 13 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056089 (0.062542) Loss: 0.056089 (0.062542)
2025-08-26,07:27:36 | INFO | Train Epoch: 13 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065548 (0.062553) Loss: 0.065548 (0.062553)
2025-08-26,07:28:46 | INFO | Train Epoch: 13 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044356 (0.062487) Loss: 0.044356 (0.062487)
2025-08-26,07:29:56 | INFO | Train Epoch: 13 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054882 (0.062460) Loss: 0.054882 (0.062460)
2025-08-26,07:31:05 | INFO | Train Epoch: 13 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065505 (0.062471) Loss: 0.065505 (0.062471)
2025-08-26,07:32:15 | INFO | Train Epoch: 13 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046628 (0.062414) Loss: 0.046628 (0.062414)
2025-08-26,07:33:24 | INFO | Train Epoch: 13 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062152 (0.062413) Loss: 0.062152 (0.062413)
2025-08-26,07:34:34 | INFO | Train Epoch: 13 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051510 (0.062374) Loss: 0.051510 (0.062374)
2025-08-26,07:35:44 | INFO | Train Epoch: 13 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052430 (0.062339) Loss: 0.052430 (0.062339)
2025-08-26,07:36:53 | INFO | Train Epoch: 13 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073588 (0.062379) Loss: 0.073588 (0.062379)
2025-08-26,07:38:03 | INFO | Train Epoch: 13 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068034 (0.062399) Loss: 0.068034 (0.062399)
2025-08-26,07:39:13 | INFO | Train Epoch: 13 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10239 (0.062539) Loss: 0.10239 (0.062539)
2025-08-26,07:40:22 | INFO | Train Epoch: 13 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058516 (0.062524) Loss: 0.058516 (0.062524)
2025-08-26,07:41:32 | INFO | Train Epoch: 13 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063072 (0.062526) Loss: 0.063072 (0.062526)
2025-08-26,07:42:42 | INFO | Train Epoch: 13 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049258 (0.062480) Loss: 0.049258 (0.062480)
2025-08-26,07:43:51 | INFO | Train Epoch: 13 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050152 (0.062438) Loss: 0.050152 (0.062438)
2025-08-26,07:45:01 | INFO | Train Epoch: 13 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052046 (0.062402) Loss: 0.052046 (0.062402)
2025-08-26,07:46:11 | INFO | Train Epoch: 13 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045231 (0.062343) Loss: 0.045231 (0.062343)
2025-08-26,07:47:21 | INFO | Train Epoch: 13 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059941 (0.062335) Loss: 0.059941 (0.062335)
2025-08-26,07:48:31 | INFO | Train Epoch: 13 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085439 (0.062414) Loss: 0.085439 (0.062414)
2025-08-26,07:49:40 | INFO | Train Epoch: 13 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057775 (0.062398) Loss: 0.057775 (0.062398)
2025-08-26,07:50:50 | INFO | Train Epoch: 13 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054151 (0.062370) Loss: 0.054151 (0.062370)
2025-08-26,07:52:00 | INFO | Train Epoch: 13 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043202 (0.062306) Loss: 0.043202 (0.062306)
2025-08-26,07:53:10 | INFO | Train Epoch: 13 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063957 (0.062311) Loss: 0.063957 (0.062311)
2025-08-26,07:54:20 | INFO | Train Epoch: 13 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064565 (0.062319) Loss: 0.064565 (0.062319)
2025-08-26,07:55:29 | INFO | Train Epoch: 13 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044893 (0.062261) Loss: 0.044893 (0.062261)
2025-08-26,07:56:39 | INFO | Train Epoch: 13 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070354 (0.062288) Loss: 0.070354 (0.062288)
2025-08-26,07:57:49 | INFO | Train Epoch: 13 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055468 (0.062265) Loss: 0.055468 (0.062265)
2025-08-26,07:58:59 | INFO | Train Epoch: 13 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056478 (0.062246) Loss: 0.056478 (0.062246)
2025-08-26,08:00:09 | INFO | Train Epoch: 13 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073982 (0.062285) Loss: 0.073982 (0.062285)
2025-08-26,08:01:18 | INFO | Train Epoch: 13 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061477 (0.062282) Loss: 0.061477 (0.062282)
2025-08-26,08:02:28 | INFO | Train Epoch: 13 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036363 (0.062197) Loss: 0.036363 (0.062197)
2025-08-26,08:03:38 | INFO | Train Epoch: 13 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071245 (0.062227) Loss: 0.071245 (0.062227)
2025-08-26,08:04:47 | INFO | Train Epoch: 13 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056767 (0.062209) Loss: 0.056767 (0.062209)
2025-08-26,08:05:57 | INFO | Train Epoch: 13 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049500 (0.062168) Loss: 0.049500 (0.062168)
2025-08-26,08:07:07 | INFO | Train Epoch: 13 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073613 (0.062205) Loss: 0.073613 (0.062205)
2025-08-26,08:08:16 | INFO | Train Epoch: 13 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061467 (0.062202) Loss: 0.061467 (0.062202)
2025-08-26,08:09:26 | INFO | Train Epoch: 13 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044696 (0.062146) Loss: 0.044696 (0.062146)
2025-08-26,08:10:36 | INFO | Train Epoch: 13 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065855 (0.062158) Loss: 0.065855 (0.062158)
2025-08-26,08:11:45 | INFO | Train Epoch: 13 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040798 (0.062090) Loss: 0.040798 (0.062090)
2025-08-26,08:12:55 | INFO | Train Epoch: 13 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064151 (0.062097) Loss: 0.064151 (0.062097)
2025-08-26,08:14:05 | INFO | Train Epoch: 13 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062896 (0.062099) Loss: 0.062896 (0.062099)
2025-08-26,08:15:14 | INFO | Train Epoch: 13 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064653 (0.062107) Loss: 0.064653 (0.062107)
2025-08-26,08:16:24 | INFO | Train Epoch: 13 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048382 (0.062064) Loss: 0.048382 (0.062064)
2025-08-26,08:17:34 | INFO | Train Epoch: 13 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058419 (0.062053) Loss: 0.058419 (0.062053)
2025-08-26,08:18:44 | INFO | Train Epoch: 13 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051487 (0.062020) Loss: 0.051487 (0.062020)
2025-08-26,08:19:53 | INFO | Train Epoch: 13 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084608 (0.062090) Loss: 0.084608 (0.062090)
2025-08-26,08:21:03 | INFO | Train Epoch: 13 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053475 (0.062063) Loss: 0.053475 (0.062063)
2025-08-26,08:22:13 | INFO | Train Epoch: 13 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050844 (0.062028) Loss: 0.050844 (0.062028)
2025-08-26,08:23:23 | INFO | Train Epoch: 13 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082150 (0.062091) Loss: 0.082150 (0.062091)
2025-08-26,08:24:32 | INFO | Train Epoch: 13 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047135 (0.062045) Loss: 0.047135 (0.062045)
2025-08-26,08:25:42 | INFO | Train Epoch: 13 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044023 (0.061989) Loss: 0.044023 (0.061989)
2025-08-26,08:26:52 | INFO | Train Epoch: 13 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064568 (0.061997) Loss: 0.064568 (0.061997)
2025-08-26,08:28:01 | INFO | Train Epoch: 13 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059959 (0.061991) Loss: 0.059959 (0.061991)
2025-08-26,08:29:11 | INFO | Train Epoch: 13 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.085883 (0.062064) Loss: 0.085883 (0.062064)
2025-08-26,08:30:21 | INFO | Train Epoch: 13 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056353 (0.062046) Loss: 0.056353 (0.062046)
2025-08-26,08:31:31 | INFO | Train Epoch: 13 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077819 (0.062094) Loss: 0.077819 (0.062094)
2025-08-26,08:32:41 | INFO | Train Epoch: 13 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037316 (0.062019) Loss: 0.037316 (0.062019)
2025-08-26,08:33:50 | INFO | Train Epoch: 13 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.030520 (0.061925) Loss: 0.030520 (0.061925)
2025-08-26,08:35:00 | INFO | Train Epoch: 13 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037454 (0.061851) Loss: 0.037454 (0.061851)
2025-08-26,08:36:10 | INFO | Train Epoch: 13 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062690 (0.061854) Loss: 0.062690 (0.061854)
2025-08-26,08:37:20 | INFO | Train Epoch: 13 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077221 (0.061900) Loss: 0.077221 (0.061900)
2025-08-26,08:38:29 | INFO | Train Epoch: 13 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047364 (0.061857) Loss: 0.047364 (0.061857)
2025-08-26,08:39:39 | INFO | Train Epoch: 13 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037972 (0.061786) Loss: 0.037972 (0.061786)
2025-08-26,08:40:49 | INFO | Train Epoch: 13 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080752 (0.061842) Loss: 0.080752 (0.061842)
2025-08-26,08:41:58 | INFO | Train Epoch: 13 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068877 (0.061862) Loss: 0.068877 (0.061862)
2025-08-26,08:43:08 | INFO | Train Epoch: 13 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035987 (0.061787) Loss: 0.035987 (0.061787)
2025-08-26,08:44:18 | INFO | Train Epoch: 13 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068185 (0.061805) Loss: 0.068185 (0.061805)
2025-08-26,08:45:27 | INFO | Train Epoch: 13 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.030036 (0.061713) Loss: 0.030036 (0.061713)
2025-08-26,08:46:37 | INFO | Train Epoch: 13 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065577 (0.061724) Loss: 0.065577 (0.061724)
2025-08-26,08:47:47 | INFO | Train Epoch: 13 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061595 (0.061724) Loss: 0.061595 (0.061724)
2025-08-26,08:48:56 | INFO | Train Epoch: 13 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076570 (0.061766) Loss: 0.076570 (0.061766)
2025-08-26,08:50:06 | INFO | Train Epoch: 13 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.091299 (0.061852) Loss: 0.091299 (0.061852)
2025-08-26,08:51:16 | INFO | Train Epoch: 13 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058594 (0.061842) Loss: 0.058594 (0.061842)
2025-08-26,08:52:25 | INFO | Train Epoch: 13 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040243 (0.061780) Loss: 0.040243 (0.061780)
2025-08-26,08:53:35 | INFO | Train Epoch: 13 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032858 (0.061698) Loss: 0.032858 (0.061698)
2025-08-26,08:54:45 | INFO | Train Epoch: 13 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044591 (0.061649) Loss: 0.044591 (0.061649)
2025-08-26,08:55:54 | INFO | Train Epoch: 13 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071527 (0.061677) Loss: 0.071527 (0.061677)
2025-08-26,08:57:04 | INFO | Train Epoch: 13 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.082433 (0.061736) Loss: 0.082433 (0.061736)
2025-08-26,08:58:14 | INFO | Train Epoch: 13 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.031487 (0.061650) Loss: 0.031487 (0.061650)
2025-08-26,08:59:23 | INFO | Train Epoch: 13 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061623 (0.061650) Loss: 0.061623 (0.061650)
2025-08-26,09:00:33 | INFO | Train Epoch: 13 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049322 (0.061616) Loss: 0.049322 (0.061616)
2025-08-26,09:01:43 | INFO | Train Epoch: 13 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063317 (0.061620) Loss: 0.063317 (0.061620)
2025-08-26,09:02:53 | INFO | Train Epoch: 13 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065237 (0.061631) Loss: 0.065237 (0.061631)
2025-08-26,09:04:02 | INFO | Train Epoch: 13 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066468 (0.061644) Loss: 0.066468 (0.061644)
2025-08-26,09:05:12 | INFO | Train Epoch: 13 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066524 (0.061658) Loss: 0.066524 (0.061658)
2025-08-26,09:06:22 | INFO | Train Epoch: 13 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065750 (0.061669) Loss: 0.065750 (0.061669)
2025-08-26,09:07:31 | INFO | Train Epoch: 13 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044476 (0.061621) Loss: 0.044476 (0.061621)
2025-08-26,09:08:41 | INFO | Train Epoch: 13 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.028988 (0.061531) Loss: 0.028988 (0.061531)
2025-08-26,09:09:51 | INFO | Train Epoch: 13 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059066 (0.061525) Loss: 0.059066 (0.061525)
2025-08-26,09:11:00 | INFO | Train Epoch: 13 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042161 (0.061472) Loss: 0.042161 (0.061472)
2025-08-26,09:12:10 | INFO | Train Epoch: 13 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051797 (0.061445) Loss: 0.051797 (0.061445)
2025-08-26,09:13:20 | INFO | Train Epoch: 13 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056341 (0.061431) Loss: 0.056341 (0.061431)
2025-08-26,09:14:29 | INFO | Train Epoch: 13 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074455 (0.061467) Loss: 0.074455 (0.061467)
2025-08-26,09:15:39 | INFO | Train Epoch: 13 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045187 (0.061423) Loss: 0.045187 (0.061423)
2025-08-26,09:16:49 | INFO | Train Epoch: 13 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075418 (0.061460) Loss: 0.075418 (0.061460)
2025-08-26,09:17:58 | INFO | Train Epoch: 13 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056009 (0.061446) Loss: 0.056009 (0.061446)
2025-08-26,09:19:08 | INFO | Train Epoch: 13 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055279 (0.061429) Loss: 0.055279 (0.061429)
2025-08-26,09:20:18 | INFO | Train Epoch: 13 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061775 (0.061430) Loss: 0.061775 (0.061430)
2025-08-26,09:21:27 | INFO | Train Epoch: 13 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040257 (0.061373) Loss: 0.040257 (0.061373)
2025-08-26,09:22:37 | INFO | Train Epoch: 13 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049569 (0.061342) Loss: 0.049569 (0.061342)
2025-08-26,09:23:46 | INFO | Train Epoch: 13 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063121 (0.061347) Loss: 0.063121 (0.061347)
2025-08-26,09:24:56 | INFO | Train Epoch: 13 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059918 (0.061343) Loss: 0.059918 (0.061343)
2025-08-26,09:26:06 | INFO | Train Epoch: 13 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063925 (0.061350) Loss: 0.063925 (0.061350)
2025-08-26,09:27:15 | INFO | Train Epoch: 13 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046487 (0.061311) Loss: 0.046487 (0.061311)
2025-08-26,09:28:25 | INFO | Train Epoch: 13 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062412 (0.061313) Loss: 0.062412 (0.061313)
2025-08-26,09:29:35 | INFO | Train Epoch: 13 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064386 (0.061322) Loss: 0.064386 (0.061322)
2025-08-26,09:30:45 | INFO | Train Epoch: 13 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.034028 (0.061250) Loss: 0.034028 (0.061250)
2025-08-26,09:31:55 | INFO | Train Epoch: 13 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058517 (0.061243) Loss: 0.058517 (0.061243)
2025-08-26,09:33:04 | INFO | Train Epoch: 13 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065090 (0.061253) Loss: 0.065090 (0.061253)
2025-08-26,09:34:14 | INFO | Train Epoch: 13 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049567 (0.061223) Loss: 0.049567 (0.061223)
2025-08-26,09:35:24 | INFO | Train Epoch: 13 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059728 (0.061219) Loss: 0.059728 (0.061219)
2025-08-26,09:36:33 | INFO | Train Epoch: 13 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064632 (0.061228) Loss: 0.064632 (0.061228)
2025-08-26,09:37:43 | INFO | Train Epoch: 13 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044869 (0.061185) Loss: 0.044869 (0.061185)
2025-08-26,09:38:52 | INFO | Train Epoch: 13 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056567 (0.061173) Loss: 0.056567 (0.061173)
2025-08-26,09:40:02 | INFO | Train Epoch: 13 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081651 (0.061226) Loss: 0.081651 (0.061226)
2025-08-26,09:41:12 | INFO | Train Epoch: 13 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035510 (0.061160) Loss: 0.035510 (0.061160)
2025-08-26,09:42:21 | INFO | Train Epoch: 13 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044028 (0.061117) Loss: 0.044028 (0.061117)
2025-08-26,09:43:31 | INFO | Train Epoch: 13 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068817 (0.061136) Loss: 0.068817 (0.061136)
2025-08-26,09:44:40 | INFO | Train Epoch: 13 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055010 (0.061121) Loss: 0.055010 (0.061121)
2025-08-26,09:45:50 | INFO | Train Epoch: 13 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076185 (0.061159) Loss: 0.076185 (0.061159)
2025-08-26,09:47:00 | INFO | Train Epoch: 13 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062759 (0.061163) Loss: 0.062759 (0.061163)
2025-08-26,09:48:10 | INFO | Train Epoch: 13 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062231 (0.061165) Loss: 0.062231 (0.061165)
2025-08-26,09:49:20 | INFO | Train Epoch: 13 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051532 (0.061141) Loss: 0.051532 (0.061141)
2025-08-26,09:50:29 | INFO | Train Epoch: 13 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.034101 (0.061073) Loss: 0.034101 (0.061073)
2025-08-26,09:51:39 | INFO | Train Epoch: 13 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057207 (0.061064) Loss: 0.057207 (0.061064)
2025-08-26,09:52:49 | INFO | Train Epoch: 13 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079079 (0.061109) Loss: 0.079079 (0.061109)
2025-08-26,09:53:58 | INFO | Train Epoch: 13 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066907 (0.061123) Loss: 0.066907 (0.061123)
2025-08-26,09:55:08 | INFO | Train Epoch: 13 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058649 (0.061117) Loss: 0.058649 (0.061117)
2025-08-26,09:56:18 | INFO | Train Epoch: 13 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084606 (0.061175) Loss: 0.084606 (0.061175)
2025-08-26,09:57:28 | INFO | Train Epoch: 13 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042538 (0.061129) Loss: 0.042538 (0.061129)
2025-08-26,09:58:37 | INFO | Train Epoch: 13 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076767 (0.061168) Loss: 0.076767 (0.061168)
2025-08-26,09:59:47 | INFO | Train Epoch: 13 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063346 (0.061173) Loss: 0.063346 (0.061173)
2025-08-26,10:00:56 | INFO | Train Epoch: 13 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051522 (0.061149) Loss: 0.051522 (0.061149)
2025-08-26,10:02:06 | INFO | Train Epoch: 13 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035032 (0.061086) Loss: 0.035032 (0.061086)
2025-08-26,10:03:16 | INFO | Train Epoch: 13 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077534 (0.061126) Loss: 0.077534 (0.061126)
2025-08-26,10:04:25 | INFO | Train Epoch: 13 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084327 (0.061182) Loss: 0.084327 (0.061182)
2025-08-26,10:05:35 | INFO | Train Epoch: 13 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.033366 (0.061115) Loss: 0.033366 (0.061115)
2025-08-26,10:06:45 | INFO | Train Epoch: 13 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056151 (0.061103) Loss: 0.056151 (0.061103)
2025-08-26,10:07:54 | INFO | Train Epoch: 13 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069044 (0.061122) Loss: 0.069044 (0.061122)
2025-08-26,10:09:04 | INFO | Train Epoch: 13 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045414 (0.061084) Loss: 0.045414 (0.061084)
2025-08-26,10:10:13 | INFO | Train Epoch: 13 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070301 (0.061106) Loss: 0.070301 (0.061106)
2025-08-26,10:11:23 | INFO | Train Epoch: 13 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068998 (0.061125) Loss: 0.068998 (0.061125)
2025-08-26,10:12:33 | INFO | Train Epoch: 13 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084287 (0.061180) Loss: 0.084287 (0.061180)
2025-08-26,10:13:43 | INFO | Train Epoch: 13 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062911 (0.061184) Loss: 0.062911 (0.061184)
2025-08-26,10:14:52 | INFO | Train Epoch: 13 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054506 (0.061169) Loss: 0.054506 (0.061169)
2025-08-26,10:16:02 | INFO | Train Epoch: 13 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051067 (0.061145) Loss: 0.051067 (0.061145)
2025-08-26,10:17:12 | INFO | Train Epoch: 13 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069958 (0.061165) Loss: 0.069958 (0.061165)
2025-08-26,10:18:21 | INFO | Train Epoch: 13 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038198 (0.061111) Loss: 0.038198 (0.061111)
2025-08-26,10:19:31 | INFO | Train Epoch: 13 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038712 (0.061058) Loss: 0.038712 (0.061058)
2025-08-26,10:20:41 | INFO | Train Epoch: 13 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054419 (0.061043) Loss: 0.054419 (0.061043)
2025-08-26,10:21:50 | INFO | Train Epoch: 13 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048098 (0.061012) Loss: 0.048098 (0.061012)
2025-08-26,10:23:00 | INFO | Train Epoch: 13 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038879 (0.060961) Loss: 0.038879 (0.060961)
2025-08-26,10:24:10 | INFO | Train Epoch: 13 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074570 (0.060992) Loss: 0.074570 (0.060992)
2025-08-26,10:25:19 | INFO | Train Epoch: 13 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056026 (0.060981) Loss: 0.056026 (0.060981)
2025-08-26,10:26:29 | INFO | Train Epoch: 13 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040996 (0.060934) Loss: 0.040996 (0.060934)
2025-08-26,10:27:38 | INFO | Train Epoch: 13 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054142 (0.060919) Loss: 0.054142 (0.060919)
2025-08-26,10:28:48 | INFO | Train Epoch: 13 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060835 (0.060918) Loss: 0.060835 (0.060918)
2025-08-26,10:29:58 | INFO | Train Epoch: 13 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084820 (0.060974) Loss: 0.084820 (0.060974)
2025-08-26,10:31:08 | INFO | Train Epoch: 13 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078880 (0.061015) Loss: 0.078880 (0.061015)
2025-08-26,10:32:17 | INFO | Train Epoch: 13 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071233 (0.061038) Loss: 0.071233 (0.061038)
2025-08-26,10:33:27 | INFO | Train Epoch: 13 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065382 (0.061048) Loss: 0.065382 (0.061048)
2025-08-26,10:34:37 | INFO | Train Epoch: 13 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074459 (0.061079) Loss: 0.074459 (0.061079)
2025-08-26,10:35:47 | INFO | Train Epoch: 13 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032779 (0.061014) Loss: 0.032779 (0.061014)
2025-08-26,10:36:56 | INFO | Train Epoch: 13 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055338 (0.061001) Loss: 0.055338 (0.061001)
2025-08-26,10:38:06 | INFO | Train Epoch: 13 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048338 (0.060973) Loss: 0.048338 (0.060973)
2025-08-26,10:39:16 | INFO | Train Epoch: 13 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051253 (0.060951) Loss: 0.051253 (0.060951)
2025-08-26,10:40:25 | INFO | Train Epoch: 13 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070307 (0.060972) Loss: 0.070307 (0.060972)
2025-08-26,10:41:35 | INFO | Train Epoch: 13 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060684 (0.060971) Loss: 0.060684 (0.060971)
2025-08-26,10:42:45 | INFO | Train Epoch: 13 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050367 (0.060947) Loss: 0.050367 (0.060947)
2025-08-26,10:43:54 | INFO | Train Epoch: 13 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080071 (0.060990) Loss: 0.080071 (0.060990)
2025-08-26,10:45:04 | INFO | Train Epoch: 13 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086400 (0.061047) Loss: 0.086400 (0.061047)
2025-08-26,10:46:14 | INFO | Train Epoch: 13 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049476 (0.061021) Loss: 0.049476 (0.061021)
2025-08-26,10:47:23 | INFO | Train Epoch: 13 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063537 (0.061027) Loss: 0.063537 (0.061027)
2025-08-26,10:48:33 | INFO | Train Epoch: 13 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.080970 (0.061071) Loss: 0.080970 (0.061071)
2025-08-26,10:49:43 | INFO | Train Epoch: 13 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062283 (0.061074) Loss: 0.062283 (0.061074)
2025-08-26,10:50:52 | INFO | Train Epoch: 13 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055855 (0.061062) Loss: 0.055855 (0.061062)
2025-08-26,10:52:02 | INFO | Train Epoch: 13 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059220 (0.061058) Loss: 0.059220 (0.061058)
2025-08-26,10:53:12 | INFO | Train Epoch: 13 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056086 (0.061047) Loss: 0.056086 (0.061047)
2025-08-26,10:54:22 | INFO | Train Epoch: 13 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076564 (0.061082) Loss: 0.076564 (0.061082)
2025-08-26,10:55:31 | INFO | Train Epoch: 13 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041555 (0.061039) Loss: 0.041555 (0.061039)
2025-08-26,10:56:41 | INFO | Train Epoch: 13 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068388 (0.061055) Loss: 0.068388 (0.061055)
2025-08-26,10:57:51 | INFO | Train Epoch: 13 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062898 (0.061059) Loss: 0.062898 (0.061059)
2025-08-26,10:59:00 | INFO | Train Epoch: 13 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047463 (0.061029) Loss: 0.047463 (0.061029)
2025-08-26,11:00:10 | INFO | Train Epoch: 13 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094895 (0.061103) Loss: 0.094895 (0.061103)
2025-08-26,11:01:20 | INFO | Train Epoch: 13 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051780 (0.061083) Loss: 0.051780 (0.061083)
2025-08-26,11:02:29 | INFO | Train Epoch: 13 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066148 (0.061094) Loss: 0.066148 (0.061094)
2025-08-26,11:03:39 | INFO | Train Epoch: 13 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051606 (0.061073) Loss: 0.051606 (0.061073)
2025-08-26,11:04:49 | INFO | Train Epoch: 13 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056104 (0.061062) Loss: 0.056104 (0.061062)
2025-08-26,11:05:58 | INFO | Train Epoch: 13 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067277 (0.061076) Loss: 0.067277 (0.061076)
2025-08-26,11:07:08 | INFO | Train Epoch: 13 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061881 (0.061077) Loss: 0.061881 (0.061077)
2025-08-26,11:08:18 | INFO | Train Epoch: 13 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061406 (0.061078) Loss: 0.061406 (0.061078)
2025-08-26,11:09:28 | INFO | Train Epoch: 13 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063772 (0.061084) Loss: 0.063772 (0.061084)
2025-08-26,11:10:37 | INFO | Train Epoch: 13 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037444 (0.061033) Loss: 0.037444 (0.061033)
2025-08-26,11:11:47 | INFO | Train Epoch: 13 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048303 (0.061006) Loss: 0.048303 (0.061006)
2025-08-26,11:12:57 | INFO | Train Epoch: 13 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062463 (0.061009) Loss: 0.062463 (0.061009)
2025-08-26,11:14:06 | INFO | Train Epoch: 13 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048481 (0.060983) Loss: 0.048481 (0.060983)
2025-08-26,11:15:16 | INFO | Train Epoch: 13 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049546 (0.060959) Loss: 0.049546 (0.060959)
2025-08-26,11:16:26 | INFO | Train Epoch: 13 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074189 (0.060986) Loss: 0.074189 (0.060986)
2025-08-26,11:17:36 | INFO | Train Epoch: 13 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036940 (0.060936) Loss: 0.036940 (0.060936)
2025-08-26,11:18:45 | INFO | Train Epoch: 13 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070272 (0.060955) Loss: 0.070272 (0.060955)
2025-08-26,11:19:55 | INFO | Train Epoch: 13 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044570 (0.060921) Loss: 0.044570 (0.060921)
2025-08-26,11:21:05 | INFO | Train Epoch: 13 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039277 (0.060876) Loss: 0.039277 (0.060876)
2025-08-26,11:22:15 | INFO | Train Epoch: 13 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054894 (0.060863) Loss: 0.054894 (0.060863)
2025-08-26,11:23:24 | INFO | Train Epoch: 13 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064864 (0.060871) Loss: 0.064864 (0.060871)
2025-08-26,11:24:34 | INFO | Train Epoch: 13 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064806 (0.060880) Loss: 0.064806 (0.060880)
2025-08-26,11:25:44 | INFO | Train Epoch: 13 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074488 (0.060908) Loss: 0.074488 (0.060908)
2025-08-26,11:26:53 | INFO | Train Epoch: 13 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050442 (0.060886) Loss: 0.050442 (0.060886)
2025-08-26,11:28:03 | INFO | Train Epoch: 13 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041181 (0.060845) Loss: 0.041181 (0.060845)
2025-08-26,11:29:13 | INFO | Train Epoch: 13 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055173 (0.060834) Loss: 0.055173 (0.060834)
2025-08-26,11:30:22 | INFO | Train Epoch: 13 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052706 (0.060817) Loss: 0.052706 (0.060817)
2025-08-26,11:31:32 | INFO | Train Epoch: 13 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057401 (0.060810) Loss: 0.057401 (0.060810)
2025-08-26,11:32:42 | INFO | Train Epoch: 13 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059340 (0.060807) Loss: 0.059340 (0.060807)
2025-08-26,11:33:51 | INFO | Train Epoch: 13 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035269 (0.060755) Loss: 0.035269 (0.060755)
2025-08-26,11:35:01 | INFO | Train Epoch: 13 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064126 (0.060761) Loss: 0.064126 (0.060761)
2025-08-26,11:36:10 | INFO | Train Epoch: 13 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054528 (0.060749) Loss: 0.054528 (0.060749)
2025-08-26,11:37:20 | INFO | Train Epoch: 13 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055050 (0.060737) Loss: 0.055050 (0.060737)
2025-08-26,11:38:30 | INFO | Train Epoch: 13 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073894 (0.060764) Loss: 0.073894 (0.060764)
2025-08-26,11:39:39 | INFO | Train Epoch: 13 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052277 (0.060747) Loss: 0.052277 (0.060747)
2025-08-26,11:40:49 | INFO | Train Epoch: 13 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063101 (0.060751) Loss: 0.063101 (0.060751)
2025-08-26,11:41:59 | INFO | Train Epoch: 13 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059479 (0.060749) Loss: 0.059479 (0.060749)
2025-08-26,11:43:09 | INFO | Train Epoch: 13 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074076 (0.060776) Loss: 0.074076 (0.060776)
2025-08-26,11:44:18 | INFO | Train Epoch: 13 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074326 (0.060803) Loss: 0.074326 (0.060803)
2025-08-26,11:45:28 | INFO | Train Epoch: 13 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048542 (0.060778) Loss: 0.048542 (0.060778)
2025-08-26,11:46:38 | INFO | Train Epoch: 13 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074903 (0.060807) Loss: 0.074903 (0.060807)
2025-08-26,11:47:47 | INFO | Train Epoch: 13 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044859 (0.060775) Loss: 0.044859 (0.060775)
2025-08-26,11:48:57 | INFO | Train Epoch: 13 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086243 (0.060826) Loss: 0.086243 (0.060826)
2025-08-26,11:50:06 | INFO | Train Epoch: 13 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045711 (0.060796) Loss: 0.045711 (0.060796)
2025-08-26,11:51:16 | INFO | Train Epoch: 13 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044196 (0.060763) Loss: 0.044196 (0.060763)
2025-08-26,11:52:26 | INFO | Train Epoch: 13 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063225 (0.060767) Loss: 0.063225 (0.060767)
2025-08-26,11:53:36 | INFO | Train Epoch: 13 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053188 (0.060752) Loss: 0.053188 (0.060752)
2025-08-26,11:54:45 | INFO | Train Epoch: 13 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046435 (0.060724) Loss: 0.046435 (0.060724)
2025-08-26,11:55:55 | INFO | Train Epoch: 13 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073212 (0.060749) Loss: 0.073212 (0.060749)
2025-08-26,11:57:04 | INFO | Train Epoch: 13 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053761 (0.060735) Loss: 0.053761 (0.060735)
2025-08-26,11:58:14 | INFO | Train Epoch: 13 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053913 (0.060722) Loss: 0.053913 (0.060722)
2025-08-26,11:59:24 | INFO | Train Epoch: 13 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058782 (0.060718) Loss: 0.058782 (0.060718)
2025-08-26,12:00:34 | INFO | Train Epoch: 13 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052281 (0.060701) Loss: 0.052281 (0.060701)
2025-08-26,12:01:43 | INFO | Train Epoch: 13 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065928 (0.060711) Loss: 0.065928 (0.060711)
2025-08-26,12:02:53 | INFO | Train Epoch: 13 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064760 (0.060719) Loss: 0.064760 (0.060719)
2025-08-26,12:04:03 | INFO | Train Epoch: 13 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048170 (0.060695) Loss: 0.048170 (0.060695)
2025-08-26,12:05:12 | INFO | Train Epoch: 13 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051971 (0.060678) Loss: 0.051971 (0.060678)
2025-08-26,12:06:19 | INFO | Train Epoch: 13 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050743 (0.060659) Loss: 0.050743 (0.060659)
2025-08-26,12:06:19 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-26,12:06:19 | INFO | [Epoch 13] Average Step Time: 0.699s | Average GPU Memory: 43.4 GB
2025-08-26,12:06:19 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-26,12:06:19 | INFO | Starting zero-shot imagenet.
2025-08-26,12:06:19 | INFO | Building zero-shot classifier
2025-08-26,12:06:28 | INFO | Using classifier
2025-08-26,12:07:14 | INFO | Finished zero-shot imagenet.
2025-08-26,12:07:14 | INFO | Eval Epoch: 14 imagenet-zeroshot-val-top1: 0.3354	imagenet-zeroshot-val-top5: 0.6104
2025-08-26,12:07:15 | INFO | Start epoch 14
2025-08-26,12:07:17 | INFO | Train Epoch: 14 [     512/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036872 (0.036872) Loss: 0.036872 (0.036872)
2025-08-26,12:08:26 | INFO | Train Epoch: 14 [   51712/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058097 (0.047485) Loss: 0.058097 (0.047485)
2025-08-26,12:09:36 | INFO | Train Epoch: 14 [  102912/26365952 (0%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053775 (0.049581) Loss: 0.053775 (0.049581)
2025-08-26,12:10:45 | INFO | Train Epoch: 14 [  154112/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057751 (0.051624) Loss: 0.057751 (0.051624)
2025-08-26,12:11:54 | INFO | Train Epoch: 14 [  205312/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049181 (0.051135) Loss: 0.049181 (0.051135)
2025-08-26,12:13:04 | INFO | Train Epoch: 14 [  256512/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049904 (0.050930) Loss: 0.049904 (0.050930)
2025-08-26,12:14:13 | INFO | Train Epoch: 14 [  307712/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047098 (0.050383) Loss: 0.047098 (0.050383)
2025-08-26,12:15:23 | INFO | Train Epoch: 14 [  358912/26365952 (1%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036926 (0.048700) Loss: 0.036926 (0.048700)
2025-08-26,12:16:32 | INFO | Train Epoch: 14 [  410112/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044580 (0.048243) Loss: 0.044580 (0.048243)
2025-08-26,12:17:41 | INFO | Train Epoch: 14 [  461312/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044182 (0.047836) Loss: 0.044182 (0.047836)
2025-08-26,12:18:51 | INFO | Train Epoch: 14 [  512512/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046230 (0.047690) Loss: 0.046230 (0.047690)
2025-08-26,12:20:00 | INFO | Train Epoch: 14 [  563712/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073954 (0.049879) Loss: 0.073954 (0.049879)
2025-08-26,12:21:10 | INFO | Train Epoch: 14 [  614912/26365952 (2%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.094457 (0.053308) Loss: 0.094457 (0.053308)
2025-08-26,12:22:19 | INFO | Train Epoch: 14 [  666112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072267 (0.054662) Loss: 0.072267 (0.054662)
2025-08-26,12:23:29 | INFO | Train Epoch: 14 [  717312/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042744 (0.053868) Loss: 0.042744 (0.053868)
2025-08-26,12:24:38 | INFO | Train Epoch: 14 [  768512/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043235 (0.053203) Loss: 0.043235 (0.053203)
2025-08-26,12:25:47 | INFO | Train Epoch: 14 [  819712/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045361 (0.052742) Loss: 0.045361 (0.052742)
2025-08-26,12:26:57 | INFO | Train Epoch: 14 [  870912/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057864 (0.053027) Loss: 0.057864 (0.053027)
2025-08-26,12:28:06 | INFO | Train Epoch: 14 [  922112/26365952 (3%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047240 (0.052722) Loss: 0.047240 (0.052722)
2025-08-26,12:29:16 | INFO | Train Epoch: 14 [  973312/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045200 (0.052346) Loss: 0.045200 (0.052346)
2025-08-26,12:30:25 | INFO | Train Epoch: 14 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039344 (0.051727) Loss: 0.039344 (0.051727)
2025-08-26,12:31:35 | INFO | Train Epoch: 14 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050965 (0.051692) Loss: 0.050965 (0.051692)
2025-08-26,12:32:44 | INFO | Train Epoch: 14 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060452 (0.052073) Loss: 0.060452 (0.052073)
2025-08-26,12:33:54 | INFO | Train Epoch: 14 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051502 (0.052049) Loss: 0.051502 (0.052049)
2025-08-26,12:35:03 | INFO | Train Epoch: 14 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036538 (0.051429) Loss: 0.036538 (0.051429)
2025-08-26,12:36:13 | INFO | Train Epoch: 14 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063583 (0.051896) Loss: 0.063583 (0.051896)
2025-08-26,12:37:22 | INFO | Train Epoch: 14 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065624 (0.052405) Loss: 0.065624 (0.052405)
2025-08-26,12:38:32 | INFO | Train Epoch: 14 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047533 (0.052231) Loss: 0.047533 (0.052231)
2025-08-26,12:39:41 | INFO | Train Epoch: 14 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049943 (0.052152) Loss: 0.049943 (0.052152)
2025-08-26,12:40:51 | INFO | Train Epoch: 14 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062116 (0.052484) Loss: 0.062116 (0.052484)
2025-08-26,12:42:00 | INFO | Train Epoch: 14 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043661 (0.052199) Loss: 0.043661 (0.052199)
2025-08-26,12:43:10 | INFO | Train Epoch: 14 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061192 (0.052480) Loss: 0.061192 (0.052480)
2025-08-26,12:44:19 | INFO | Train Epoch: 14 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060027 (0.052709) Loss: 0.060027 (0.052709)
2025-08-26,12:45:29 | INFO | Train Epoch: 14 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037360 (0.052258) Loss: 0.037360 (0.052258)
2025-08-26,12:46:39 | INFO | Train Epoch: 14 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049879 (0.052190) Loss: 0.049879 (0.052190)
2025-08-26,12:47:48 | INFO | Train Epoch: 14 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.088874 (0.053209) Loss: 0.088874 (0.053209)
2025-08-26,12:48:58 | INFO | Train Epoch: 14 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065782 (0.053548) Loss: 0.065782 (0.053548)
2025-08-26,12:50:07 | INFO | Train Epoch: 14 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046198 (0.053355) Loss: 0.046198 (0.053355)
2025-08-26,12:51:17 | INFO | Train Epoch: 14 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061980 (0.053576) Loss: 0.061980 (0.053576)
2025-08-26,12:52:26 | INFO | Train Epoch: 14 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051555 (0.053526) Loss: 0.051555 (0.053526)
2025-08-26,12:53:36 | INFO | Train Epoch: 14 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047064 (0.053368) Loss: 0.047064 (0.053368)
2025-08-26,12:54:45 | INFO | Train Epoch: 14 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051651 (0.053327) Loss: 0.051651 (0.053327)
2025-08-26,12:55:55 | INFO | Train Epoch: 14 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050187 (0.053254) Loss: 0.050187 (0.053254)
2025-08-26,12:57:04 | INFO | Train Epoch: 14 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048099 (0.053137) Loss: 0.048099 (0.053137)
2025-08-26,12:58:14 | INFO | Train Epoch: 14 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046225 (0.052983) Loss: 0.046225 (0.052983)
2025-08-26,12:59:23 | INFO | Train Epoch: 14 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055159 (0.053031) Loss: 0.055159 (0.053031)
2025-08-26,13:00:32 | INFO | Train Epoch: 14 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047219 (0.052907) Loss: 0.047219 (0.052907)
2025-08-26,13:01:42 | INFO | Train Epoch: 14 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037389 (0.052584) Loss: 0.037389 (0.052584)
2025-08-26,13:02:51 | INFO | Train Epoch: 14 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076037 (0.053062) Loss: 0.076037 (0.053062)
2025-08-26,13:04:01 | INFO | Train Epoch: 14 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.034180 (0.052685) Loss: 0.034180 (0.052685)
2025-08-26,13:05:11 | INFO | Train Epoch: 14 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064289 (0.052912) Loss: 0.064289 (0.052912)
2025-08-26,13:06:20 | INFO | Train Epoch: 14 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062181 (0.053090) Loss: 0.062181 (0.053090)
2025-08-26,13:07:30 | INFO | Train Epoch: 14 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070053 (0.053411) Loss: 0.070053 (0.053411)
2025-08-26,13:08:39 | INFO | Train Epoch: 14 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071863 (0.053752) Loss: 0.071863 (0.053752)
2025-08-26,13:09:49 | INFO | Train Epoch: 14 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042912 (0.053555) Loss: 0.042912 (0.053555)
2025-08-26,13:10:59 | INFO | Train Epoch: 14 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059534 (0.053662) Loss: 0.059534 (0.053662)
2025-08-26,13:12:08 | INFO | Train Epoch: 14 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037565 (0.053380) Loss: 0.037565 (0.053380)
2025-08-26,13:13:18 | INFO | Train Epoch: 14 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046412 (0.053259) Loss: 0.046412 (0.053259)
2025-08-26,13:14:27 | INFO | Train Epoch: 14 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045046 (0.053120) Loss: 0.045046 (0.053120)
2025-08-26,13:15:37 | INFO | Train Epoch: 14 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071266 (0.053423) Loss: 0.071266 (0.053423)
2025-08-26,13:16:46 | INFO | Train Epoch: 14 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041376 (0.053225) Loss: 0.041376 (0.053225)
2025-08-26,13:17:56 | INFO | Train Epoch: 14 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048591 (0.053150) Loss: 0.048591 (0.053150)
2025-08-26,13:19:05 | INFO | Train Epoch: 14 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045971 (0.053036) Loss: 0.045971 (0.053036)
2025-08-26,13:20:15 | INFO | Train Epoch: 14 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076934 (0.053410) Loss: 0.076934 (0.053410)
2025-08-26,13:21:24 | INFO | Train Epoch: 14 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.033313 (0.053101) Loss: 0.033313 (0.053101)
2025-08-26,13:22:34 | INFO | Train Epoch: 14 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038014 (0.052872) Loss: 0.038014 (0.052872)
2025-08-26,13:23:43 | INFO | Train Epoch: 14 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059314 (0.052968) Loss: 0.059314 (0.052968)
2025-08-26,13:24:53 | INFO | Train Epoch: 14 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046600 (0.052875) Loss: 0.046600 (0.052875)
2025-08-26,13:26:03 | INFO | Train Epoch: 14 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047328 (0.052794) Loss: 0.047328 (0.052794)
2025-08-26,13:27:12 | INFO | Train Epoch: 14 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037160 (0.052571) Loss: 0.037160 (0.052571)
2025-08-26,13:28:21 | INFO | Train Epoch: 14 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052025 (0.052563) Loss: 0.052025 (0.052563)
2025-08-26,13:29:31 | INFO | Train Epoch: 14 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060395 (0.052672) Loss: 0.060395 (0.052672)
2025-08-26,13:30:40 | INFO | Train Epoch: 14 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056823 (0.052729) Loss: 0.056823 (0.052729)
2025-08-26,13:31:50 | INFO | Train Epoch: 14 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051957 (0.052718) Loss: 0.051957 (0.052718)
2025-08-26,13:32:59 | INFO | Train Epoch: 14 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077185 (0.053045) Loss: 0.077185 (0.053045)
2025-08-26,13:34:09 | INFO | Train Epoch: 14 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041094 (0.052887) Loss: 0.041094 (0.052887)
2025-08-26,13:35:18 | INFO | Train Epoch: 14 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057675 (0.052949) Loss: 0.057675 (0.052949)
2025-08-26,13:36:28 | INFO | Train Epoch: 14 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056496 (0.052995) Loss: 0.056496 (0.052995)
2025-08-26,13:37:38 | INFO | Train Epoch: 14 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.028863 (0.052689) Loss: 0.028863 (0.052689)
2025-08-26,13:38:47 | INFO | Train Epoch: 14 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049792 (0.052653) Loss: 0.049792 (0.052653)
2025-08-26,13:39:57 | INFO | Train Epoch: 14 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052719 (0.052654) Loss: 0.052719 (0.052654)
2025-08-26,13:41:06 | INFO | Train Epoch: 14 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065583 (0.052812) Loss: 0.065583 (0.052812)
2025-08-26,13:42:16 | INFO | Train Epoch: 14 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036081 (0.052610) Loss: 0.036081 (0.052610)
2025-08-26,13:43:25 | INFO | Train Epoch: 14 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073133 (0.052854) Loss: 0.073133 (0.052854)
2025-08-26,13:44:35 | INFO | Train Epoch: 14 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069365 (0.053049) Loss: 0.069365 (0.053049)
2025-08-26,13:45:45 | INFO | Train Epoch: 14 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077873 (0.053337) Loss: 0.077873 (0.053337)
2025-08-26,13:46:54 | INFO | Train Epoch: 14 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038646 (0.053168) Loss: 0.038646 (0.053168)
2025-08-26,13:48:04 | INFO | Train Epoch: 14 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050954 (0.053143) Loss: 0.050954 (0.053143)
2025-08-26,13:49:14 | INFO | Train Epoch: 14 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059462 (0.053214) Loss: 0.059462 (0.053214)
2025-08-26,13:50:23 | INFO | Train Epoch: 14 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043417 (0.053105) Loss: 0.043417 (0.053105)
2025-08-26,13:51:33 | INFO | Train Epoch: 14 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051814 (0.053091) Loss: 0.051814 (0.053091)
2025-08-26,13:52:42 | INFO | Train Epoch: 14 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066621 (0.053238) Loss: 0.066621 (0.053238)
2025-08-26,13:53:52 | INFO | Train Epoch: 14 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062197 (0.053335) Loss: 0.062197 (0.053335)
2025-08-26,13:55:02 | INFO | Train Epoch: 14 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057374 (0.053378) Loss: 0.057374 (0.053378)
2025-08-26,13:56:11 | INFO | Train Epoch: 14 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047293 (0.053314) Loss: 0.047293 (0.053314)
2025-08-26,13:57:21 | INFO | Train Epoch: 14 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051861 (0.053298) Loss: 0.051861 (0.053298)
2025-08-26,13:58:30 | INFO | Train Epoch: 14 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079772 (0.053571) Loss: 0.079772 (0.053571)
2025-08-26,13:59:40 | INFO | Train Epoch: 14 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046232 (0.053496) Loss: 0.046232 (0.053496)
2025-08-26,14:00:49 | INFO | Train Epoch: 14 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045900 (0.053420) Loss: 0.045900 (0.053420)
2025-08-26,14:01:59 | INFO | Train Epoch: 14 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049591 (0.053381) Loss: 0.049591 (0.053381)
2025-08-26,14:03:09 | INFO | Train Epoch: 14 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045310 (0.053302) Loss: 0.045310 (0.053302)
2025-08-26,14:04:18 | INFO | Train Epoch: 14 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056839 (0.053336) Loss: 0.056839 (0.053336)
2025-08-26,14:05:28 | INFO | Train Epoch: 14 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046521 (0.053270) Loss: 0.046521 (0.053270)
2025-08-26,14:06:37 | INFO | Train Epoch: 14 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052173 (0.053260) Loss: 0.052173 (0.053260)
2025-08-26,14:07:47 | INFO | Train Epoch: 14 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053532 (0.053262) Loss: 0.053532 (0.053262)
2025-08-26,14:08:57 | INFO | Train Epoch: 14 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035184 (0.053092) Loss: 0.035184 (0.053092)
2025-08-26,14:10:06 | INFO | Train Epoch: 14 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042540 (0.052993) Loss: 0.042540 (0.052993)
2025-08-26,14:11:16 | INFO | Train Epoch: 14 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032528 (0.052803) Loss: 0.032528 (0.052803)
2025-08-26,14:12:25 | INFO | Train Epoch: 14 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046779 (0.052748) Loss: 0.046779 (0.052748)
2025-08-26,14:13:35 | INFO | Train Epoch: 14 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049141 (0.052715) Loss: 0.049141 (0.052715)
2025-08-26,14:14:44 | INFO | Train Epoch: 14 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043781 (0.052635) Loss: 0.043781 (0.052635)
2025-08-26,14:15:54 | INFO | Train Epoch: 14 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067792 (0.052770) Loss: 0.067792 (0.052770)
2025-08-26,14:17:04 | INFO | Train Epoch: 14 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058789 (0.052823) Loss: 0.058789 (0.052823)
2025-08-26,14:18:13 | INFO | Train Epoch: 14 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061823 (0.052902) Loss: 0.061823 (0.052902)
2025-08-26,14:19:23 | INFO | Train Epoch: 14 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056146 (0.052931) Loss: 0.056146 (0.052931)
2025-08-26,14:20:32 | INFO | Train Epoch: 14 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051048 (0.052914) Loss: 0.051048 (0.052914)
2025-08-26,14:21:42 | INFO | Train Epoch: 14 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055762 (0.052939) Loss: 0.055762 (0.052939)
2025-08-26,14:22:51 | INFO | Train Epoch: 14 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063177 (0.053026) Loss: 0.063177 (0.053026)
2025-08-26,14:24:01 | INFO | Train Epoch: 14 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038108 (0.052900) Loss: 0.038108 (0.052900)
2025-08-26,14:25:10 | INFO | Train Epoch: 14 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.027145 (0.052686) Loss: 0.027145 (0.052686)
2025-08-26,14:26:20 | INFO | Train Epoch: 14 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056490 (0.052717) Loss: 0.056490 (0.052717)
2025-08-26,14:27:30 | INFO | Train Epoch: 14 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055546 (0.052740) Loss: 0.055546 (0.052740)
2025-08-26,14:28:39 | INFO | Train Epoch: 14 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.031062 (0.052564) Loss: 0.031062 (0.052564)
2025-08-26,14:29:49 | INFO | Train Epoch: 14 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070995 (0.052713) Loss: 0.070995 (0.052713)
2025-08-26,14:30:59 | INFO | Train Epoch: 14 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038946 (0.052602) Loss: 0.038946 (0.052602)
2025-08-26,14:32:08 | INFO | Train Epoch: 14 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041426 (0.052514) Loss: 0.041426 (0.052514)
2025-08-26,14:33:18 | INFO | Train Epoch: 14 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051538 (0.052506) Loss: 0.051538 (0.052506)
2025-08-26,14:34:27 | INFO | Train Epoch: 14 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032331 (0.052348) Loss: 0.032331 (0.052348)
2025-08-26,14:35:37 | INFO | Train Epoch: 14 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078316 (0.052550) Loss: 0.078316 (0.052550)
2025-08-26,14:36:46 | INFO | Train Epoch: 14 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046055 (0.052500) Loss: 0.046055 (0.052500)
2025-08-26,14:37:56 | INFO | Train Epoch: 14 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062370 (0.052575) Loss: 0.062370 (0.052575)
2025-08-26,14:39:06 | INFO | Train Epoch: 14 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.071879 (0.052721) Loss: 0.071879 (0.052721)
2025-08-26,14:40:15 | INFO | Train Epoch: 14 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050768 (0.052707) Loss: 0.050768 (0.052707)
2025-08-26,14:41:25 | INFO | Train Epoch: 14 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054926 (0.052723) Loss: 0.054926 (0.052723)
2025-08-26,14:42:34 | INFO | Train Epoch: 14 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037491 (0.052610) Loss: 0.037491 (0.052610)
2025-08-26,14:43:44 | INFO | Train Epoch: 14 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051402 (0.052602) Loss: 0.051402 (0.052602)
2025-08-26,14:44:54 | INFO | Train Epoch: 14 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060167 (0.052657) Loss: 0.060167 (0.052657)
2025-08-26,14:46:03 | INFO | Train Epoch: 14 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068116 (0.052769) Loss: 0.068116 (0.052769)
2025-08-26,14:47:13 | INFO | Train Epoch: 14 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.098850 (0.053100) Loss: 0.098850 (0.053100)
2025-08-26,14:48:23 | INFO | Train Epoch: 14 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.034744 (0.052969) Loss: 0.034744 (0.052969)
2025-08-26,14:49:32 | INFO | Train Epoch: 14 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042072 (0.052892) Loss: 0.042072 (0.052892)
2025-08-26,14:50:42 | INFO | Train Epoch: 14 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059865 (0.052941) Loss: 0.059865 (0.052941)
2025-08-26,14:51:51 | INFO | Train Epoch: 14 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045623 (0.052890) Loss: 0.045623 (0.052890)
2025-08-26,14:53:01 | INFO | Train Epoch: 14 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077344 (0.053060) Loss: 0.077344 (0.053060)
2025-08-26,14:54:10 | INFO | Train Epoch: 14 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043382 (0.052993) Loss: 0.043382 (0.052993)
2025-08-26,14:55:20 | INFO | Train Epoch: 14 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069992 (0.053109) Loss: 0.069992 (0.053109)
2025-08-26,14:56:29 | INFO | Train Epoch: 14 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054489 (0.053119) Loss: 0.054489 (0.053119)
2025-08-26,14:57:39 | INFO | Train Epoch: 14 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.031149 (0.052970) Loss: 0.031149 (0.052970)
2025-08-26,14:58:48 | INFO | Train Epoch: 14 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051476 (0.052960) Loss: 0.051476 (0.052960)
2025-08-26,14:59:58 | INFO | Train Epoch: 14 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045024 (0.052907) Loss: 0.045024 (0.052907)
2025-08-26,15:01:07 | INFO | Train Epoch: 14 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040651 (0.052826) Loss: 0.040651 (0.052826)
2025-08-26,15:02:17 | INFO | Train Epoch: 14 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035327 (0.052711) Loss: 0.035327 (0.052711)
2025-08-26,15:03:27 | INFO | Train Epoch: 14 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069605 (0.052821) Loss: 0.069605 (0.052821)
2025-08-26,15:04:36 | INFO | Train Epoch: 14 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053304 (0.052825) Loss: 0.053304 (0.052825)
2025-08-26,15:05:46 | INFO | Train Epoch: 14 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056877 (0.052851) Loss: 0.056877 (0.052851)
2025-08-26,15:06:55 | INFO | Train Epoch: 14 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045148 (0.052801) Loss: 0.045148 (0.052801)
2025-08-26,15:08:05 | INFO | Train Epoch: 14 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058708 (0.052839) Loss: 0.058708 (0.052839)
2025-08-26,15:09:15 | INFO | Train Epoch: 14 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074775 (0.052978) Loss: 0.074775 (0.052978)
2025-08-26,15:10:24 | INFO | Train Epoch: 14 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050817 (0.052964) Loss: 0.050817 (0.052964)
2025-08-26,15:11:34 | INFO | Train Epoch: 14 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060844 (0.053013) Loss: 0.060844 (0.053013)
2025-08-26,15:12:44 | INFO | Train Epoch: 14 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050752 (0.052999) Loss: 0.050752 (0.052999)
2025-08-26,15:13:54 | INFO | Train Epoch: 14 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046251 (0.052958) Loss: 0.046251 (0.052958)
2025-08-26,15:15:04 | INFO | Train Epoch: 14 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054060 (0.052965) Loss: 0.054060 (0.052965)
2025-08-26,15:16:13 | INFO | Train Epoch: 14 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063543 (0.053029) Loss: 0.063543 (0.053029)
2025-08-26,15:17:23 | INFO | Train Epoch: 14 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052644 (0.053027) Loss: 0.052644 (0.053027)
2025-08-26,15:18:32 | INFO | Train Epoch: 14 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045512 (0.052981) Loss: 0.045512 (0.052981)
2025-08-26,15:19:42 | INFO | Train Epoch: 14 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10272 (0.053279) Loss: 0.10272 (0.053279)
2025-08-26,15:20:51 | INFO | Train Epoch: 14 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060376 (0.053321) Loss: 0.060376 (0.053321)
2025-08-26,15:22:01 | INFO | Train Epoch: 14 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047143 (0.053285) Loss: 0.047143 (0.053285)
2025-08-26,15:23:11 | INFO | Train Epoch: 14 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049713 (0.053264) Loss: 0.049713 (0.053264)
2025-08-26,15:24:20 | INFO | Train Epoch: 14 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041810 (0.053197) Loss: 0.041810 (0.053197)
2025-08-26,15:25:30 | INFO | Train Epoch: 14 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048810 (0.053171) Loss: 0.048810 (0.053171)
2025-08-26,15:26:39 | INFO | Train Epoch: 14 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070961 (0.053274) Loss: 0.070961 (0.053274)
2025-08-26,15:27:49 | INFO | Train Epoch: 14 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066141 (0.053348) Loss: 0.066141 (0.053348)
2025-08-26,15:28:59 | INFO | Train Epoch: 14 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050978 (0.053335) Loss: 0.050978 (0.053335)
2025-08-26,15:30:08 | INFO | Train Epoch: 14 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054111 (0.053339) Loss: 0.054111 (0.053339)
2025-08-26,15:31:18 | INFO | Train Epoch: 14 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053331 (0.053339) Loss: 0.053331 (0.053339)
2025-08-26,15:32:28 | INFO | Train Epoch: 14 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068255 (0.053423) Loss: 0.068255 (0.053423)
2025-08-26,15:33:37 | INFO | Train Epoch: 14 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.026605 (0.053273) Loss: 0.026605 (0.053273)
2025-08-26,15:34:47 | INFO | Train Epoch: 14 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063869 (0.053332) Loss: 0.063869 (0.053332)
2025-08-26,15:35:57 | INFO | Train Epoch: 14 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078011 (0.053468) Loss: 0.078011 (0.053468)
2025-08-26,15:37:06 | INFO | Train Epoch: 14 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059405 (0.053501) Loss: 0.059405 (0.053501)
2025-08-26,15:38:16 | INFO | Train Epoch: 14 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066969 (0.053574) Loss: 0.066969 (0.053574)
2025-08-26,15:39:26 | INFO | Train Epoch: 14 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063686 (0.053629) Loss: 0.063686 (0.053629)
2025-08-26,15:40:35 | INFO | Train Epoch: 14 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054917 (0.053636) Loss: 0.054917 (0.053636)
2025-08-26,15:41:45 | INFO | Train Epoch: 14 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039434 (0.053560) Loss: 0.039434 (0.053560)
2025-08-26,15:42:55 | INFO | Train Epoch: 14 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054769 (0.053566) Loss: 0.054769 (0.053566)
2025-08-26,15:44:05 | INFO | Train Epoch: 14 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044412 (0.053518) Loss: 0.044412 (0.053518)
2025-08-26,15:45:14 | INFO | Train Epoch: 14 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040779 (0.053450) Loss: 0.040779 (0.053450)
2025-08-26,15:46:24 | INFO | Train Epoch: 14 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065190 (0.053512) Loss: 0.065190 (0.053512)
2025-08-26,15:47:34 | INFO | Train Epoch: 14 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056897 (0.053530) Loss: 0.056897 (0.053530)
2025-08-26,15:48:43 | INFO | Train Epoch: 14 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059629 (0.053562) Loss: 0.059629 (0.053562)
2025-08-26,15:49:53 | INFO | Train Epoch: 14 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061839 (0.053605) Loss: 0.061839 (0.053605)
2025-08-26,15:51:03 | INFO | Train Epoch: 14 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073421 (0.053707) Loss: 0.073421 (0.053707)
2025-08-26,15:52:13 | INFO | Train Epoch: 14 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035905 (0.053615) Loss: 0.035905 (0.053615)
2025-08-26,15:53:22 | INFO | Train Epoch: 14 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064117 (0.053669) Loss: 0.064117 (0.053669)
2025-08-26,15:54:32 | INFO | Train Epoch: 14 [10035712/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043992 (0.053620) Loss: 0.043992 (0.053620)
2025-08-26,15:55:42 | INFO | Train Epoch: 14 [10086912/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053844 (0.053621) Loss: 0.053844 (0.053621)
2025-08-26,15:56:51 | INFO | Train Epoch: 14 [10138112/26365952 (38%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062371 (0.053665) Loss: 0.062371 (0.053665)
2025-08-26,15:58:01 | INFO | Train Epoch: 14 [10189312/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049470 (0.053644) Loss: 0.049470 (0.053644)
2025-08-26,15:59:11 | INFO | Train Epoch: 14 [10240512/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056056 (0.053656) Loss: 0.056056 (0.053656)
2025-08-26,16:00:21 | INFO | Train Epoch: 14 [10291712/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032994 (0.053554) Loss: 0.032994 (0.053554)
2025-08-26,16:01:30 | INFO | Train Epoch: 14 [10342912/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064128 (0.053606) Loss: 0.064128 (0.053606)
2025-08-26,16:02:40 | INFO | Train Epoch: 14 [10394112/26365952 (39%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035281 (0.053516) Loss: 0.035281 (0.053516)
2025-08-26,16:03:50 | INFO | Train Epoch: 14 [10445312/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068535 (0.053589) Loss: 0.068535 (0.053589)
2025-08-26,16:05:00 | INFO | Train Epoch: 14 [10496512/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055329 (0.053598) Loss: 0.055329 (0.053598)
2025-08-26,16:06:09 | INFO | Train Epoch: 14 [10547712/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.030619 (0.053487) Loss: 0.030619 (0.053487)
2025-08-26,16:07:19 | INFO | Train Epoch: 14 [10598912/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045977 (0.053451) Loss: 0.045977 (0.053451)
2025-08-26,16:08:29 | INFO | Train Epoch: 14 [10650112/26365952 (40%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063478 (0.053499) Loss: 0.063478 (0.053499)
2025-08-26,16:09:38 | INFO | Train Epoch: 14 [10701312/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069424 (0.053574) Loss: 0.069424 (0.053574)
2025-08-26,16:10:48 | INFO | Train Epoch: 14 [10752512/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079013 (0.053695) Loss: 0.079013 (0.053695)
2025-08-26,16:11:58 | INFO | Train Epoch: 14 [10803712/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083608 (0.053836) Loss: 0.083608 (0.053836)
2025-08-26,16:13:08 | INFO | Train Epoch: 14 [10854912/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053961 (0.053837) Loss: 0.053961 (0.053837)
2025-08-26,16:14:17 | INFO | Train Epoch: 14 [10906112/26365952 (41%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069998 (0.053912) Loss: 0.069998 (0.053912)
2025-08-26,16:15:27 | INFO | Train Epoch: 14 [10957312/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044778 (0.053870) Loss: 0.044778 (0.053870)
2025-08-26,16:16:37 | INFO | Train Epoch: 14 [11008512/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047001 (0.053838) Loss: 0.047001 (0.053838)
2025-08-26,16:17:46 | INFO | Train Epoch: 14 [11059712/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.097186 (0.054038) Loss: 0.097186 (0.054038)
2025-08-26,16:18:56 | INFO | Train Epoch: 14 [11110912/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032687 (0.053940) Loss: 0.032687 (0.053940)
2025-08-26,16:20:06 | INFO | Train Epoch: 14 [11162112/26365952 (42%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058026 (0.053958) Loss: 0.058026 (0.053958)
2025-08-26,16:21:15 | INFO | Train Epoch: 14 [11213312/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039065 (0.053891) Loss: 0.039065 (0.053891)
2025-08-26,16:22:25 | INFO | Train Epoch: 14 [11264512/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063657 (0.053935) Loss: 0.063657 (0.053935)
2025-08-26,16:23:35 | INFO | Train Epoch: 14 [11315712/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062368 (0.053973) Loss: 0.062368 (0.053973)
2025-08-26,16:24:44 | INFO | Train Epoch: 14 [11366912/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068298 (0.054037) Loss: 0.068298 (0.054037)
2025-08-26,16:25:54 | INFO | Train Epoch: 14 [11418112/26365952 (43%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.034724 (0.053951) Loss: 0.034724 (0.053951)
2025-08-26,16:27:04 | INFO | Train Epoch: 14 [11469312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040620 (0.053892) Loss: 0.040620 (0.053892)
2025-08-26,16:28:13 | INFO | Train Epoch: 14 [11520512/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057156 (0.053906) Loss: 0.057156 (0.053906)
2025-08-26,16:29:23 | INFO | Train Epoch: 14 [11571712/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084906 (0.054043) Loss: 0.084906 (0.054043)
2025-08-26,16:30:33 | INFO | Train Epoch: 14 [11622912/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053784 (0.054041) Loss: 0.053784 (0.054041)
2025-08-26,16:31:42 | INFO | Train Epoch: 14 [11674112/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057451 (0.054056) Loss: 0.057451 (0.054056)
2025-08-26,16:32:52 | INFO | Train Epoch: 14 [11725312/26365952 (44%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054362 (0.054058) Loss: 0.054362 (0.054058)
2025-08-26,16:34:02 | INFO | Train Epoch: 14 [11776512/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069783 (0.054126) Loss: 0.069783 (0.054126)
2025-08-26,16:35:12 | INFO | Train Epoch: 14 [11827712/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054063 (0.054125) Loss: 0.054063 (0.054125)
2025-08-26,16:36:21 | INFO | Train Epoch: 14 [11878912/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037319 (0.054053) Loss: 0.037319 (0.054053)
2025-08-26,16:37:31 | INFO | Train Epoch: 14 [11930112/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081770 (0.054172) Loss: 0.081770 (0.054172)
2025-08-26,16:38:41 | INFO | Train Epoch: 14 [11981312/26365952 (45%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056418 (0.054181) Loss: 0.056418 (0.054181)
2025-08-26,16:39:50 | INFO | Train Epoch: 14 [12032512/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054275 (0.054182) Loss: 0.054275 (0.054182)
2025-08-26,16:41:00 | INFO | Train Epoch: 14 [12083712/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054314 (0.054182) Loss: 0.054314 (0.054182)
2025-08-26,16:42:10 | INFO | Train Epoch: 14 [12134912/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047159 (0.054153) Loss: 0.047159 (0.054153)
2025-08-26,16:43:20 | INFO | Train Epoch: 14 [12186112/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042205 (0.054103) Loss: 0.042205 (0.054103)
2025-08-26,16:44:29 | INFO | Train Epoch: 14 [12237312/26365952 (46%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048119 (0.054078) Loss: 0.048119 (0.054078)
2025-08-26,16:45:39 | INFO | Train Epoch: 14 [12288512/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077135 (0.054174) Loss: 0.077135 (0.054174)
2025-08-26,16:46:49 | INFO | Train Epoch: 14 [12339712/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066421 (0.054224) Loss: 0.066421 (0.054224)
2025-08-26,16:47:59 | INFO | Train Epoch: 14 [12390912/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081713 (0.054337) Loss: 0.081713 (0.054337)
2025-08-26,16:49:08 | INFO | Train Epoch: 14 [12442112/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040110 (0.054279) Loss: 0.040110 (0.054279)
2025-08-26,16:50:18 | INFO | Train Epoch: 14 [12493312/26365952 (47%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048704 (0.054256) Loss: 0.048704 (0.054256)
2025-08-26,16:51:28 | INFO | Train Epoch: 14 [12544512/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.079503 (0.054359) Loss: 0.079503 (0.054359)
2025-08-26,16:52:37 | INFO | Train Epoch: 14 [12595712/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.037503 (0.054291) Loss: 0.037503 (0.054291)
2025-08-26,16:53:47 | INFO | Train Epoch: 14 [12646912/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052056 (0.054282) Loss: 0.052056 (0.054282)
2025-08-26,16:54:57 | INFO | Train Epoch: 14 [12698112/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081810 (0.054392) Loss: 0.081810 (0.054392)
2025-08-26,16:56:07 | INFO | Train Epoch: 14 [12749312/26365952 (48%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048902 (0.054370) Loss: 0.048902 (0.054370)
2025-08-26,16:57:16 | INFO | Train Epoch: 14 [12800512/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057006 (0.054381) Loss: 0.057006 (0.054381)
2025-08-26,16:58:26 | INFO | Train Epoch: 14 [12851712/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043373 (0.054337) Loss: 0.043373 (0.054337)
2025-08-26,16:59:36 | INFO | Train Epoch: 14 [12902912/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051356 (0.054325) Loss: 0.051356 (0.054325)
2025-08-26,17:00:45 | INFO | Train Epoch: 14 [12954112/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047725 (0.054299) Loss: 0.047725 (0.054299)
2025-08-26,17:01:55 | INFO | Train Epoch: 14 [13005312/26365952 (49%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046409 (0.054268) Loss: 0.046409 (0.054268)
2025-08-26,17:03:05 | INFO | Train Epoch: 14 [13056512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067625 (0.054320) Loss: 0.067625 (0.054320)
2025-08-26,17:04:15 | INFO | Train Epoch: 14 [13107712/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055253 (0.054324) Loss: 0.055253 (0.054324)
2025-08-26,17:05:24 | INFO | Train Epoch: 14 [13158912/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.086048 (0.054447) Loss: 0.086048 (0.054447)
2025-08-26,17:06:34 | INFO | Train Epoch: 14 [13210112/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069333 (0.054505) Loss: 0.069333 (0.054505)
2025-08-26,17:07:44 | INFO | Train Epoch: 14 [13261312/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047318 (0.054477) Loss: 0.047318 (0.054477)
2025-08-26,17:08:54 | INFO | Train Epoch: 14 [13312512/26365952 (50%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050667 (0.054462) Loss: 0.050667 (0.054462)
2025-08-26,17:10:03 | INFO | Train Epoch: 14 [13363712/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056205 (0.054469) Loss: 0.056205 (0.054469)
2025-08-26,17:11:13 | INFO | Train Epoch: 14 [13414912/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051667 (0.054458) Loss: 0.051667 (0.054458)
2025-08-26,17:12:23 | INFO | Train Epoch: 14 [13466112/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060005 (0.054479) Loss: 0.060005 (0.054479)
2025-08-26,17:13:32 | INFO | Train Epoch: 14 [13517312/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042425 (0.054434) Loss: 0.042425 (0.054434)
2025-08-26,17:14:42 | INFO | Train Epoch: 14 [13568512/26365952 (51%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.034052 (0.054357) Loss: 0.034052 (0.054357)
2025-08-26,17:15:52 | INFO | Train Epoch: 14 [13619712/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050572 (0.054343) Loss: 0.050572 (0.054343)
2025-08-26,17:17:02 | INFO | Train Epoch: 14 [13670912/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065366 (0.054384) Loss: 0.065366 (0.054384)
2025-08-26,17:18:12 | INFO | Train Epoch: 14 [13722112/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067047 (0.054431) Loss: 0.067047 (0.054431)
2025-08-26,17:19:21 | INFO | Train Epoch: 14 [13773312/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040776 (0.054381) Loss: 0.040776 (0.054381)
2025-08-26,17:20:31 | INFO | Train Epoch: 14 [13824512/26365952 (52%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056586 (0.054389) Loss: 0.056586 (0.054389)
2025-08-26,17:21:41 | INFO | Train Epoch: 14 [13875712/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058210 (0.054403) Loss: 0.058210 (0.054403)
2025-08-26,17:22:50 | INFO | Train Epoch: 14 [13926912/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069562 (0.054458) Loss: 0.069562 (0.054458)
2025-08-26,17:24:00 | INFO | Train Epoch: 14 [13978112/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068161 (0.054508) Loss: 0.068161 (0.054508)
2025-08-26,17:25:10 | INFO | Train Epoch: 14 [14029312/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044599 (0.054472) Loss: 0.044599 (0.054472)
2025-08-26,17:26:20 | INFO | Train Epoch: 14 [14080512/26365952 (53%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035228 (0.054403) Loss: 0.035228 (0.054403)
2025-08-26,17:27:29 | INFO | Train Epoch: 14 [14131712/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036904 (0.054339) Loss: 0.036904 (0.054339)
2025-08-26,17:28:39 | INFO | Train Epoch: 14 [14182912/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043534 (0.054301) Loss: 0.043534 (0.054301)
2025-08-26,17:29:48 | INFO | Train Epoch: 14 [14234112/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048572 (0.054280) Loss: 0.048572 (0.054280)
2025-08-26,17:30:58 | INFO | Train Epoch: 14 [14285312/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032773 (0.054203) Loss: 0.032773 (0.054203)
2025-08-26,17:32:08 | INFO | Train Epoch: 14 [14336512/26365952 (54%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061628 (0.054230) Loss: 0.061628 (0.054230)
2025-08-26,17:33:17 | INFO | Train Epoch: 14 [14387712/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062379 (0.054259) Loss: 0.062379 (0.054259)
2025-08-26,17:34:27 | INFO | Train Epoch: 14 [14438912/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044159 (0.054223) Loss: 0.044159 (0.054223)
2025-08-26,17:35:37 | INFO | Train Epoch: 14 [14490112/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040885 (0.054176) Loss: 0.040885 (0.054176)
2025-08-26,17:36:46 | INFO | Train Epoch: 14 [14541312/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042619 (0.054135) Loss: 0.042619 (0.054135)
2025-08-26,17:37:56 | INFO | Train Epoch: 14 [14592512/26365952 (55%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056271 (0.054143) Loss: 0.056271 (0.054143)
2025-08-26,17:39:06 | INFO | Train Epoch: 14 [14643712/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052730 (0.054138) Loss: 0.052730 (0.054138)
2025-08-26,17:40:16 | INFO | Train Epoch: 14 [14694912/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073695 (0.054206) Loss: 0.073695 (0.054206)
2025-08-26,17:41:25 | INFO | Train Epoch: 14 [14746112/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062995 (0.054236) Loss: 0.062995 (0.054236)
2025-08-26,17:42:35 | INFO | Train Epoch: 14 [14797312/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049662 (0.054220) Loss: 0.049662 (0.054220)
2025-08-26,17:43:44 | INFO | Train Epoch: 14 [14848512/26365952 (56%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051911 (0.054212) Loss: 0.051911 (0.054212)
2025-08-26,17:44:54 | INFO | Train Epoch: 14 [14899712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040341 (0.054165) Loss: 0.040341 (0.054165)
2025-08-26,17:46:04 | INFO | Train Epoch: 14 [14950912/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043392 (0.054128) Loss: 0.043392 (0.054128)
2025-08-26,17:47:13 | INFO | Train Epoch: 14 [15002112/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039003 (0.054077) Loss: 0.039003 (0.054077)
2025-08-26,17:48:23 | INFO | Train Epoch: 14 [15053312/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046894 (0.054052) Loss: 0.046894 (0.054052)
2025-08-26,17:49:32 | INFO | Train Epoch: 14 [15104512/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048466 (0.054034) Loss: 0.048466 (0.054034)
2025-08-26,17:50:42 | INFO | Train Epoch: 14 [15155712/26365952 (57%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059543 (0.054052) Loss: 0.059543 (0.054052)
2025-08-26,17:51:52 | INFO | Train Epoch: 14 [15206912/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062468 (0.054080) Loss: 0.062468 (0.054080)
2025-08-26,17:53:01 | INFO | Train Epoch: 14 [15258112/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036792 (0.054023) Loss: 0.036792 (0.054023)
2025-08-26,17:54:11 | INFO | Train Epoch: 14 [15309312/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039181 (0.053973) Loss: 0.039181 (0.053973)
2025-08-26,17:55:21 | INFO | Train Epoch: 14 [15360512/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036200 (0.053914) Loss: 0.036200 (0.053914)
2025-08-26,17:56:31 | INFO | Train Epoch: 14 [15411712/26365952 (58%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044143 (0.053882) Loss: 0.044143 (0.053882)
2025-08-26,17:57:40 | INFO | Train Epoch: 14 [15462912/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061931 (0.053908) Loss: 0.061931 (0.053908)
2025-08-26,17:58:50 | INFO | Train Epoch: 14 [15514112/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045289 (0.053880) Loss: 0.045289 (0.053880)
2025-08-26,18:00:00 | INFO | Train Epoch: 14 [15565312/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.065027 (0.053916) Loss: 0.065027 (0.053916)
2025-08-26,18:01:09 | INFO | Train Epoch: 14 [15616512/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050246 (0.053904) Loss: 0.050246 (0.053904)
2025-08-26,18:02:19 | INFO | Train Epoch: 14 [15667712/26365952 (59%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.031124 (0.053830) Loss: 0.031124 (0.053830)
2025-08-26,18:03:29 | INFO | Train Epoch: 14 [15718912/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077036 (0.053906) Loss: 0.077036 (0.053906)
2025-08-26,18:04:39 | INFO | Train Epoch: 14 [15770112/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.028817 (0.053824) Loss: 0.028817 (0.053824)
2025-08-26,18:05:48 | INFO | Train Epoch: 14 [15821312/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070082 (0.053877) Loss: 0.070082 (0.053877)
2025-08-26,18:06:58 | INFO | Train Epoch: 14 [15872512/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045658 (0.053850) Loss: 0.045658 (0.053850)
2025-08-26,18:08:08 | INFO | Train Epoch: 14 [15923712/26365952 (60%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042851 (0.053815) Loss: 0.042851 (0.053815)
2025-08-26,18:09:18 | INFO | Train Epoch: 14 [15974912/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084970 (0.053915) Loss: 0.084970 (0.053915)
2025-08-26,18:10:27 | INFO | Train Epoch: 14 [16026112/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047553 (0.053894) Loss: 0.047553 (0.053894)
2025-08-26,18:11:37 | INFO | Train Epoch: 14 [16077312/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046404 (0.053871) Loss: 0.046404 (0.053871)
2025-08-26,18:12:47 | INFO | Train Epoch: 14 [16128512/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066975 (0.053912) Loss: 0.066975 (0.053912)
2025-08-26,18:13:57 | INFO | Train Epoch: 14 [16179712/26365952 (61%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046881 (0.053890) Loss: 0.046881 (0.053890)
2025-08-26,18:15:06 | INFO | Train Epoch: 14 [16230912/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051249 (0.053882) Loss: 0.051249 (0.053882)
2025-08-26,18:16:16 | INFO | Train Epoch: 14 [16282112/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042737 (0.053847) Loss: 0.042737 (0.053847)
2025-08-26,18:17:26 | INFO | Train Epoch: 14 [16333312/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046384 (0.053823) Loss: 0.046384 (0.053823)
2025-08-26,18:18:35 | INFO | Train Epoch: 14 [16384512/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044765 (0.053795) Loss: 0.044765 (0.053795)
2025-08-26,18:19:45 | INFO | Train Epoch: 14 [16435712/26365952 (62%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064913 (0.053830) Loss: 0.064913 (0.053830)
2025-08-26,18:20:55 | INFO | Train Epoch: 14 [16486912/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035532 (0.053773) Loss: 0.035532 (0.053773)
2025-08-26,18:22:05 | INFO | Train Epoch: 14 [16538112/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045256 (0.053747) Loss: 0.045256 (0.053747)
2025-08-26,18:23:14 | INFO | Train Epoch: 14 [16589312/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063721 (0.053777) Loss: 0.063721 (0.053777)
2025-08-26,18:24:24 | INFO | Train Epoch: 14 [16640512/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055114 (0.053782) Loss: 0.055114 (0.053782)
2025-08-26,18:25:34 | INFO | Train Epoch: 14 [16691712/26365952 (63%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040518 (0.053741) Loss: 0.040518 (0.053741)
2025-08-26,18:26:44 | INFO | Train Epoch: 14 [16742912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060516 (0.053762) Loss: 0.060516 (0.053762)
2025-08-26,18:27:53 | INFO | Train Epoch: 14 [16794112/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039304 (0.053718) Loss: 0.039304 (0.053718)
2025-08-26,18:29:03 | INFO | Train Epoch: 14 [16845312/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059977 (0.053737) Loss: 0.059977 (0.053737)
2025-08-26,18:30:13 | INFO | Train Epoch: 14 [16896512/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059620 (0.053754) Loss: 0.059620 (0.053754)
2025-08-26,18:31:23 | INFO | Train Epoch: 14 [16947712/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.025792 (0.053670) Loss: 0.025792 (0.053670)
2025-08-26,18:32:32 | INFO | Train Epoch: 14 [16998912/26365952 (64%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046326 (0.053648) Loss: 0.046326 (0.053648)
2025-08-26,18:33:42 | INFO | Train Epoch: 14 [17050112/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073505 (0.053708) Loss: 0.073505 (0.053708)
2025-08-26,18:34:52 | INFO | Train Epoch: 14 [17101312/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.075009 (0.053771) Loss: 0.075009 (0.053771)
2025-08-26,18:36:02 | INFO | Train Epoch: 14 [17152512/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069861 (0.053819) Loss: 0.069861 (0.053819)
2025-08-26,18:37:11 | INFO | Train Epoch: 14 [17203712/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.031074 (0.053752) Loss: 0.031074 (0.053752)
2025-08-26,18:38:21 | INFO | Train Epoch: 14 [17254912/26365952 (65%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045750 (0.053728) Loss: 0.045750 (0.053728)
2025-08-26,18:39:31 | INFO | Train Epoch: 14 [17306112/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043185 (0.053697) Loss: 0.043185 (0.053697)
2025-08-26,18:40:41 | INFO | Train Epoch: 14 [17357312/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063099 (0.053724) Loss: 0.063099 (0.053724)
2025-08-26,18:41:51 | INFO | Train Epoch: 14 [17408512/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046192 (0.053702) Loss: 0.046192 (0.053702)
2025-08-26,18:43:00 | INFO | Train Epoch: 14 [17459712/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040472 (0.053664) Loss: 0.040472 (0.053664)
2025-08-26,18:44:10 | INFO | Train Epoch: 14 [17510912/26365952 (66%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049898 (0.053653) Loss: 0.049898 (0.053653)
2025-08-26,18:45:20 | INFO | Train Epoch: 14 [17562112/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041623 (0.053618) Loss: 0.041623 (0.053618)
2025-08-26,18:46:30 | INFO | Train Epoch: 14 [17613312/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040785 (0.053581) Loss: 0.040785 (0.053581)
2025-08-26,18:47:40 | INFO | Train Epoch: 14 [17664512/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042415 (0.053548) Loss: 0.042415 (0.053548)
2025-08-26,18:48:49 | INFO | Train Epoch: 14 [17715712/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054520 (0.053551) Loss: 0.054520 (0.053551)
2025-08-26,18:49:59 | INFO | Train Epoch: 14 [17766912/26365952 (67%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083436 (0.053637) Loss: 0.083436 (0.053637)
2025-08-26,18:51:09 | INFO | Train Epoch: 14 [17818112/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038963 (0.053595) Loss: 0.038963 (0.053595)
2025-08-26,18:52:19 | INFO | Train Epoch: 14 [17869312/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.074216 (0.053654) Loss: 0.074216 (0.053654)
2025-08-26,18:53:28 | INFO | Train Epoch: 14 [17920512/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042209 (0.053621) Loss: 0.042209 (0.053621)
2025-08-26,18:54:38 | INFO | Train Epoch: 14 [17971712/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050816 (0.053613) Loss: 0.050816 (0.053613)
2025-08-26,18:55:48 | INFO | Train Epoch: 14 [18022912/26365952 (68%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038561 (0.053571) Loss: 0.038561 (0.053571)
2025-08-26,18:56:58 | INFO | Train Epoch: 14 [18074112/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061081 (0.053592) Loss: 0.061081 (0.053592)
2025-08-26,18:58:07 | INFO | Train Epoch: 14 [18125312/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047804 (0.053575) Loss: 0.047804 (0.053575)
2025-08-26,18:59:17 | INFO | Train Epoch: 14 [18176512/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.067299 (0.053614) Loss: 0.067299 (0.053614)
2025-08-26,19:00:27 | INFO | Train Epoch: 14 [18227712/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069218 (0.053658) Loss: 0.069218 (0.053658)
2025-08-26,19:01:37 | INFO | Train Epoch: 14 [18278912/26365952 (69%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049083 (0.053645) Loss: 0.049083 (0.053645)
2025-08-26,19:02:46 | INFO | Train Epoch: 14 [18330112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058844 (0.053659) Loss: 0.058844 (0.053659)
2025-08-26,19:03:56 | INFO | Train Epoch: 14 [18381312/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056389 (0.053667) Loss: 0.056389 (0.053667)
2025-08-26,19:05:06 | INFO | Train Epoch: 14 [18432512/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046336 (0.053647) Loss: 0.046336 (0.053647)
2025-08-26,19:06:15 | INFO | Train Epoch: 14 [18483712/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069135 (0.053690) Loss: 0.069135 (0.053690)
2025-08-26,19:07:25 | INFO | Train Epoch: 14 [18534912/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055372 (0.053694) Loss: 0.055372 (0.053694)
2025-08-26,19:08:34 | INFO | Train Epoch: 14 [18586112/26365952 (70%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.076430 (0.053757) Loss: 0.076430 (0.053757)
2025-08-26,19:09:44 | INFO | Train Epoch: 14 [18637312/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042958 (0.053727) Loss: 0.042958 (0.053727)
2025-08-26,19:10:54 | INFO | Train Epoch: 14 [18688512/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073849 (0.053782) Loss: 0.073849 (0.053782)
2025-08-26,19:12:04 | INFO | Train Epoch: 14 [18739712/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063674 (0.053809) Loss: 0.063674 (0.053809)
2025-08-26,19:13:13 | INFO | Train Epoch: 14 [18790912/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053763 (0.053809) Loss: 0.053763 (0.053809)
2025-08-26,19:14:23 | INFO | Train Epoch: 14 [18842112/26365952 (71%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073244 (0.053862) Loss: 0.073244 (0.053862)
2025-08-26,19:15:33 | INFO | Train Epoch: 14 [18893312/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036726 (0.053815) Loss: 0.036726 (0.053815)
2025-08-26,19:16:43 | INFO | Train Epoch: 14 [18944512/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041423 (0.053782) Loss: 0.041423 (0.053782)
2025-08-26,19:17:53 | INFO | Train Epoch: 14 [18995712/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053824 (0.053782) Loss: 0.053824 (0.053782)
2025-08-26,19:19:02 | INFO | Train Epoch: 14 [19046912/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063396 (0.053808) Loss: 0.063396 (0.053808)
2025-08-26,19:20:12 | INFO | Train Epoch: 14 [19098112/26365952 (72%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051615 (0.053802) Loss: 0.051615 (0.053802)
2025-08-26,19:21:22 | INFO | Train Epoch: 14 [19149312/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048907 (0.053789) Loss: 0.048907 (0.053789)
2025-08-26,19:22:31 | INFO | Train Epoch: 14 [19200512/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053547 (0.053788) Loss: 0.053547 (0.053788)
2025-08-26,19:23:41 | INFO | Train Epoch: 14 [19251712/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.031976 (0.053730) Loss: 0.031976 (0.053730)
2025-08-26,19:24:51 | INFO | Train Epoch: 14 [19302912/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049765 (0.053720) Loss: 0.049765 (0.053720)
2025-08-26,19:26:01 | INFO | Train Epoch: 14 [19354112/26365952 (73%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049685 (0.053709) Loss: 0.049685 (0.053709)
2025-08-26,19:27:10 | INFO | Train Epoch: 14 [19405312/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053388 (0.053708) Loss: 0.053388 (0.053708)
2025-08-26,19:28:20 | INFO | Train Epoch: 14 [19456512/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049249 (0.053697) Loss: 0.049249 (0.053697)
2025-08-26,19:29:30 | INFO | Train Epoch: 14 [19507712/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045048 (0.053674) Loss: 0.045048 (0.053674)
2025-08-26,19:30:39 | INFO | Train Epoch: 14 [19558912/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058056 (0.053685) Loss: 0.058056 (0.053685)
2025-08-26,19:31:49 | INFO | Train Epoch: 14 [19610112/26365952 (74%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040613 (0.053651) Loss: 0.040613 (0.053651)
2025-08-26,19:32:59 | INFO | Train Epoch: 14 [19661312/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051337 (0.053645) Loss: 0.051337 (0.053645)
2025-08-26,19:34:09 | INFO | Train Epoch: 14 [19712512/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052601 (0.053643) Loss: 0.052601 (0.053643)
2025-08-26,19:35:18 | INFO | Train Epoch: 14 [19763712/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041587 (0.053611) Loss: 0.041587 (0.053611)
2025-08-26,19:36:28 | INFO | Train Epoch: 14 [19814912/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.083541 (0.053689) Loss: 0.083541 (0.053689)
2025-08-26,19:37:38 | INFO | Train Epoch: 14 [19866112/26365952 (75%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054295 (0.053690) Loss: 0.054295 (0.053690)
2025-08-26,19:38:47 | INFO | Train Epoch: 14 [19917312/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036737 (0.053647) Loss: 0.036737 (0.053647)
2025-08-26,19:39:57 | INFO | Train Epoch: 14 [19968512/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039799 (0.053611) Loss: 0.039799 (0.053611)
2025-08-26,19:41:07 | INFO | Train Epoch: 14 [20019712/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045288 (0.053590) Loss: 0.045288 (0.053590)
2025-08-26,19:42:17 | INFO | Train Epoch: 14 [20070912/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056581 (0.053598) Loss: 0.056581 (0.053598)
2025-08-26,19:43:26 | INFO | Train Epoch: 14 [20122112/26365952 (76%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062427 (0.053620) Loss: 0.062427 (0.053620)
2025-08-26,19:44:36 | INFO | Train Epoch: 14 [20173312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054097 (0.053621) Loss: 0.054097 (0.053621)
2025-08-26,19:45:46 | INFO | Train Epoch: 14 [20224512/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052582 (0.053619) Loss: 0.052582 (0.053619)
2025-08-26,19:46:56 | INFO | Train Epoch: 14 [20275712/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.10043 (0.053737) Loss: 0.10043 (0.053737)
2025-08-26,19:48:06 | INFO | Train Epoch: 14 [20326912/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060228 (0.053753) Loss: 0.060228 (0.053753)
2025-08-26,19:49:15 | INFO | Train Epoch: 14 [20378112/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044843 (0.053731) Loss: 0.044843 (0.053731)
2025-08-26,19:50:25 | INFO | Train Epoch: 14 [20429312/26365952 (77%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.040452 (0.053697) Loss: 0.040452 (0.053697)
2025-08-26,19:51:35 | INFO | Train Epoch: 14 [20480512/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052286 (0.053694) Loss: 0.052286 (0.053694)
2025-08-26,19:52:45 | INFO | Train Epoch: 14 [20531712/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061058 (0.053712) Loss: 0.061058 (0.053712)
2025-08-26,19:53:54 | INFO | Train Epoch: 14 [20582912/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050792 (0.053705) Loss: 0.050792 (0.053705)
2025-08-26,19:55:04 | INFO | Train Epoch: 14 [20634112/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052469 (0.053702) Loss: 0.052469 (0.053702)
2025-08-26,19:56:14 | INFO | Train Epoch: 14 [20685312/26365952 (78%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055843 (0.053707) Loss: 0.055843 (0.053707)
2025-08-26,19:57:23 | INFO | Train Epoch: 14 [20736512/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069896 (0.053747) Loss: 0.069896 (0.053747)
2025-08-26,19:58:33 | INFO | Train Epoch: 14 [20787712/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043453 (0.053722) Loss: 0.043453 (0.053722)
2025-08-26,19:59:43 | INFO | Train Epoch: 14 [20838912/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048386 (0.053709) Loss: 0.048386 (0.053709)
2025-08-26,20:00:53 | INFO | Train Epoch: 14 [20890112/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042508 (0.053681) Loss: 0.042508 (0.053681)
2025-08-26,20:02:02 | INFO | Train Epoch: 14 [20941312/26365952 (79%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060629 (0.053698) Loss: 0.060629 (0.053698)
2025-08-26,20:03:12 | INFO | Train Epoch: 14 [20992512/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060952 (0.053716) Loss: 0.060952 (0.053716)
2025-08-26,20:04:22 | INFO | Train Epoch: 14 [21043712/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069732 (0.053755) Loss: 0.069732 (0.053755)
2025-08-26,20:05:32 | INFO | Train Epoch: 14 [21094912/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042197 (0.053727) Loss: 0.042197 (0.053727)
2025-08-26,20:06:41 | INFO | Train Epoch: 14 [21146112/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053949 (0.053727) Loss: 0.053949 (0.053727)
2025-08-26,20:07:51 | INFO | Train Epoch: 14 [21197312/26365952 (80%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.11101 (0.053865) Loss: 0.11101 (0.053865)
2025-08-26,20:09:00 | INFO | Train Epoch: 14 [21248512/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077033 (0.053921) Loss: 0.077033 (0.053921)
2025-08-26,20:10:10 | INFO | Train Epoch: 14 [21299712/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058105 (0.053931) Loss: 0.058105 (0.053931)
2025-08-26,20:11:20 | INFO | Train Epoch: 14 [21350912/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070267 (0.053970) Loss: 0.070267 (0.053970)
2025-08-26,20:12:29 | INFO | Train Epoch: 14 [21402112/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054900 (0.053972) Loss: 0.054900 (0.053972)
2025-08-26,20:13:39 | INFO | Train Epoch: 14 [21453312/26365952 (81%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072333 (0.054016) Loss: 0.072333 (0.054016)
2025-08-26,20:14:48 | INFO | Train Epoch: 14 [21504512/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052777 (0.054013) Loss: 0.052777 (0.054013)
2025-08-26,20:15:58 | INFO | Train Epoch: 14 [21555712/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061110 (0.054030) Loss: 0.061110 (0.054030)
2025-08-26,20:17:07 | INFO | Train Epoch: 14 [21606912/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041810 (0.054001) Loss: 0.041810 (0.054001)
2025-08-26,20:18:17 | INFO | Train Epoch: 14 [21658112/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.073573 (0.054047) Loss: 0.073573 (0.054047)
2025-08-26,20:19:27 | INFO | Train Epoch: 14 [21709312/26365952 (82%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060500 (0.054062) Loss: 0.060500 (0.054062)
2025-08-26,20:20:37 | INFO | Train Epoch: 14 [21760512/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052260 (0.054058) Loss: 0.052260 (0.054058)
2025-08-26,20:21:46 | INFO | Train Epoch: 14 [21811712/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048739 (0.054046) Loss: 0.048739 (0.054046)
2025-08-26,20:22:56 | INFO | Train Epoch: 14 [21862912/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042400 (0.054018) Loss: 0.042400 (0.054018)
2025-08-26,20:24:06 | INFO | Train Epoch: 14 [21914112/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048797 (0.054006) Loss: 0.048797 (0.054006)
2025-08-26,20:25:15 | INFO | Train Epoch: 14 [21965312/26365952 (83%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043405 (0.053982) Loss: 0.043405 (0.053982)
2025-08-26,20:26:25 | INFO | Train Epoch: 14 [22016512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.038182 (0.053945) Loss: 0.038182 (0.053945)
2025-08-26,20:27:35 | INFO | Train Epoch: 14 [22067712/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047013 (0.053929) Loss: 0.047013 (0.053929)
2025-08-26,20:28:44 | INFO | Train Epoch: 14 [22118912/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047560 (0.053914) Loss: 0.047560 (0.053914)
2025-08-26,20:29:54 | INFO | Train Epoch: 14 [22170112/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044536 (0.053893) Loss: 0.044536 (0.053893)
2025-08-26,20:31:04 | INFO | Train Epoch: 14 [22221312/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035075 (0.053849) Loss: 0.035075 (0.053849)
2025-08-26,20:32:13 | INFO | Train Epoch: 14 [22272512/26365952 (84%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064965 (0.053875) Loss: 0.064965 (0.053875)
2025-08-26,20:33:23 | INFO | Train Epoch: 14 [22323712/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055942 (0.053880) Loss: 0.055942 (0.053880)
2025-08-26,20:34:32 | INFO | Train Epoch: 14 [22374912/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048442 (0.053867) Loss: 0.048442 (0.053867)
2025-08-26,20:35:42 | INFO | Train Epoch: 14 [22426112/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044289 (0.053845) Loss: 0.044289 (0.053845)
2025-08-26,20:36:52 | INFO | Train Epoch: 14 [22477312/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049709 (0.053836) Loss: 0.049709 (0.053836)
2025-08-26,20:38:01 | INFO | Train Epoch: 14 [22528512/26365952 (85%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053259 (0.053835) Loss: 0.053259 (0.053835)
2025-08-26,20:39:11 | INFO | Train Epoch: 14 [22579712/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039717 (0.053803) Loss: 0.039717 (0.053803)
2025-08-26,20:40:21 | INFO | Train Epoch: 14 [22630912/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045598 (0.053784) Loss: 0.045598 (0.053784)
2025-08-26,20:41:30 | INFO | Train Epoch: 14 [22682112/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057253 (0.053792) Loss: 0.057253 (0.053792)
2025-08-26,20:42:40 | INFO | Train Epoch: 14 [22733312/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057853 (0.053801) Loss: 0.057853 (0.053801)
2025-08-26,20:43:50 | INFO | Train Epoch: 14 [22784512/26365952 (86%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043449 (0.053778) Loss: 0.043449 (0.053778)
2025-08-26,20:44:59 | INFO | Train Epoch: 14 [22835712/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.061769 (0.053796) Loss: 0.061769 (0.053796)
2025-08-26,20:46:09 | INFO | Train Epoch: 14 [22886912/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.029924 (0.053743) Loss: 0.029924 (0.053743)
2025-08-26,20:47:19 | INFO | Train Epoch: 14 [22938112/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039925 (0.053712) Loss: 0.039925 (0.053712)
2025-08-26,20:48:28 | INFO | Train Epoch: 14 [22989312/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043386 (0.053689) Loss: 0.043386 (0.053689)
2025-08-26,20:49:38 | INFO | Train Epoch: 14 [23040512/26365952 (87%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.049293 (0.053679) Loss: 0.049293 (0.053679)
2025-08-26,20:50:48 | INFO | Train Epoch: 14 [23091712/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042590 (0.053654) Loss: 0.042590 (0.053654)
2025-08-26,20:51:58 | INFO | Train Epoch: 14 [23142912/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054971 (0.053657) Loss: 0.054971 (0.053657)
2025-08-26,20:53:07 | INFO | Train Epoch: 14 [23194112/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070846 (0.053695) Loss: 0.070846 (0.053695)
2025-08-26,20:54:17 | INFO | Train Epoch: 14 [23245312/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.041623 (0.053669) Loss: 0.041623 (0.053669)
2025-08-26,20:55:27 | INFO | Train Epoch: 14 [23296512/26365952 (88%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060959 (0.053685) Loss: 0.060959 (0.053685)
2025-08-26,20:56:36 | INFO | Train Epoch: 14 [23347712/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035934 (0.053646) Loss: 0.035934 (0.053646)
2025-08-26,20:57:46 | INFO | Train Epoch: 14 [23398912/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.054050 (0.053647) Loss: 0.054050 (0.053647)
2025-08-26,20:58:56 | INFO | Train Epoch: 14 [23450112/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048655 (0.053636) Loss: 0.048655 (0.053636)
2025-08-26,21:00:05 | INFO | Train Epoch: 14 [23501312/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064866 (0.053660) Loss: 0.064866 (0.053660)
2025-08-26,21:01:15 | INFO | Train Epoch: 14 [23552512/26365952 (89%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066186 (0.053687) Loss: 0.066186 (0.053687)
2025-08-26,21:02:25 | INFO | Train Epoch: 14 [23603712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044904 (0.053668) Loss: 0.044904 (0.053668)
2025-08-26,21:03:34 | INFO | Train Epoch: 14 [23654912/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.069906 (0.053704) Loss: 0.069906 (0.053704)
2025-08-26,21:04:44 | INFO | Train Epoch: 14 [23706112/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.048078 (0.053691) Loss: 0.048078 (0.053691)
2025-08-26,21:05:53 | INFO | Train Epoch: 14 [23757312/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.064569 (0.053715) Loss: 0.064569 (0.053715)
2025-08-26,21:07:03 | INFO | Train Epoch: 14 [23808512/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.060779 (0.053730) Loss: 0.060779 (0.053730)
2025-08-26,21:08:13 | INFO | Train Epoch: 14 [23859712/26365952 (90%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032836 (0.053685) Loss: 0.032836 (0.053685)
2025-08-26,21:09:22 | INFO | Train Epoch: 14 [23910912/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.035694 (0.053647) Loss: 0.035694 (0.053647)
2025-08-26,21:10:32 | INFO | Train Epoch: 14 [23962112/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050392 (0.053640) Loss: 0.050392 (0.053640)
2025-08-26,21:11:42 | INFO | Train Epoch: 14 [24013312/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.046224 (0.053624) Loss: 0.046224 (0.053624)
2025-08-26,21:12:51 | INFO | Train Epoch: 14 [24064512/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032528 (0.053579) Loss: 0.032528 (0.053579)
2025-08-26,21:14:01 | INFO | Train Epoch: 14 [24115712/26365952 (91%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.062409 (0.053598) Loss: 0.062409 (0.053598)
2025-08-26,21:15:11 | INFO | Train Epoch: 14 [24166912/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047767 (0.053586) Loss: 0.047767 (0.053586)
2025-08-26,21:16:21 | INFO | Train Epoch: 14 [24218112/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.047091 (0.053572) Loss: 0.047091 (0.053572)
2025-08-26,21:17:30 | INFO | Train Epoch: 14 [24269312/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052674 (0.053570) Loss: 0.052674 (0.053570)
2025-08-26,21:18:40 | INFO | Train Epoch: 14 [24320512/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057037 (0.053577) Loss: 0.057037 (0.053577)
2025-08-26,21:19:50 | INFO | Train Epoch: 14 [24371712/26365952 (92%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044098 (0.053557) Loss: 0.044098 (0.053557)
2025-08-26,21:20:59 | INFO | Train Epoch: 14 [24422912/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.077362 (0.053607) Loss: 0.077362 (0.053607)
2025-08-26,21:22:09 | INFO | Train Epoch: 14 [24474112/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.043072 (0.053585) Loss: 0.043072 (0.053585)
2025-08-26,21:23:19 | INFO | Train Epoch: 14 [24525312/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.063729 (0.053606) Loss: 0.063729 (0.053606)
2025-08-26,21:24:28 | INFO | Train Epoch: 14 [24576512/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072108 (0.053645) Loss: 0.072108 (0.053645)
2025-08-26,21:25:38 | INFO | Train Epoch: 14 [24627712/26365952 (93%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036241 (0.053609) Loss: 0.036241 (0.053609)
2025-08-26,21:26:47 | INFO | Train Epoch: 14 [24678912/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050996 (0.053603) Loss: 0.050996 (0.053603)
2025-08-26,21:27:57 | INFO | Train Epoch: 14 [24730112/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032477 (0.053560) Loss: 0.032477 (0.053560)
2025-08-26,21:29:07 | INFO | Train Epoch: 14 [24781312/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044448 (0.053541) Loss: 0.044448 (0.053541)
2025-08-26,21:30:16 | INFO | Train Epoch: 14 [24832512/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.051672 (0.053537) Loss: 0.051672 (0.053537)
2025-08-26,21:31:26 | INFO | Train Epoch: 14 [24883712/26365952 (94%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.059692 (0.053550) Loss: 0.059692 (0.053550)
2025-08-26,21:32:36 | INFO | Train Epoch: 14 [24934912/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039807 (0.053522) Loss: 0.039807 (0.053522)
2025-08-26,21:33:45 | INFO | Train Epoch: 14 [24986112/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.078384 (0.053572) Loss: 0.078384 (0.053572)
2025-08-26,21:34:55 | INFO | Train Epoch: 14 [25037312/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052697 (0.053571) Loss: 0.052697 (0.053571)
2025-08-26,21:36:04 | INFO | Train Epoch: 14 [25088512/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.066115 (0.053596) Loss: 0.066115 (0.053596)
2025-08-26,21:37:14 | INFO | Train Epoch: 14 [25139712/26365952 (95%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.084726 (0.053659) Loss: 0.084726 (0.053659)
2025-08-26,21:38:24 | INFO | Train Epoch: 14 [25190912/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.052084 (0.053656) Loss: 0.052084 (0.053656)
2025-08-26,21:39:33 | INFO | Train Epoch: 14 [25242112/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.044023 (0.053637) Loss: 0.044023 (0.053637)
2025-08-26,21:40:43 | INFO | Train Epoch: 14 [25293312/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068414 (0.053667) Loss: 0.068414 (0.053667)
2025-08-26,21:41:53 | INFO | Train Epoch: 14 [25344512/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.036045 (0.053631) Loss: 0.036045 (0.053631)
2025-08-26,21:43:02 | INFO | Train Epoch: 14 [25395712/26365952 (96%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.081661 (0.053687) Loss: 0.081661 (0.053687)
2025-08-26,21:44:12 | INFO | Train Epoch: 14 [25446912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.039880 (0.053660) Loss: 0.039880 (0.053660)
2025-08-26,21:45:21 | INFO | Train Epoch: 14 [25498112/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053877 (0.053660) Loss: 0.053877 (0.053660)
2025-08-26,21:46:31 | INFO | Train Epoch: 14 [25549312/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070809 (0.053694) Loss: 0.070809 (0.053694)
2025-08-26,21:47:41 | INFO | Train Epoch: 14 [25600512/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.053103 (0.053693) Loss: 0.053103 (0.053693)
2025-08-26,21:48:50 | INFO | Train Epoch: 14 [25651712/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042532 (0.053671) Loss: 0.042532 (0.053671)
2025-08-26,21:50:00 | INFO | Train Epoch: 14 [25702912/26365952 (97%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.056889 (0.053677) Loss: 0.056889 (0.053677)
2025-08-26,21:51:10 | INFO | Train Epoch: 14 [25754112/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.072251 (0.053714) Loss: 0.072251 (0.053714)
2025-08-26,21:52:20 | INFO | Train Epoch: 14 [25805312/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.057631 (0.053722) Loss: 0.057631 (0.053722)
2025-08-26,21:53:29 | INFO | Train Epoch: 14 [25856512/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068695 (0.053752) Loss: 0.068695 (0.053752)
2025-08-26,21:54:39 | INFO | Train Epoch: 14 [25907712/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.068144 (0.053780) Loss: 0.068144 (0.053780)
2025-08-26,21:55:49 | INFO | Train Epoch: 14 [25958912/26365952 (98%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.042311 (0.053757) Loss: 0.042311 (0.053757)
2025-08-26,21:56:58 | INFO | Train Epoch: 14 [26010112/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055943 (0.053762) Loss: 0.055943 (0.053762)
2025-08-26,21:58:08 | INFO | Train Epoch: 14 [26061312/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.029615 (0.053714) Loss: 0.029615 (0.053714)
2025-08-26,21:59:18 | INFO | Train Epoch: 14 [26112512/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.058857 (0.053724) Loss: 0.058857 (0.053724)
2025-08-26,22:00:27 | INFO | Train Epoch: 14 [26163712/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.050934 (0.053719) Loss: 0.050934 (0.053719)
2025-08-26,22:01:37 | INFO | Train Epoch: 14 [26214912/26365952 (99%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.070586 (0.053752) Loss: 0.070586 (0.053752)
2025-08-26,22:02:47 | INFO | Train Epoch: 14 [26266112/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.055487 (0.053755) Loss: 0.055487 (0.053755)
2025-08-26,22:03:56 | INFO | Train Epoch: 14 [26317312/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.045915 (0.053740) Loss: 0.045915 (0.053740)
2025-08-26,22:05:03 | INFO | Train Epoch: 14 [26365952/26365952 (100%)] Avg Boundaries (per batch): 0.000 Boundary Ratio: 0.000 Contrastive_loss: 0.032699 (0.053699) Loss: 0.032699 (0.053699)
2025-08-26,22:05:03 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-26,22:05:03 | INFO | [Epoch 14] Average Step Time: 0.700s | Average GPU Memory: 43.4 GB
2025-08-26,22:05:03 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐
2025-08-26,22:05:03 | INFO | Starting zero-shot imagenet.
2025-08-26,22:05:03 | INFO | Building zero-shot classifier
2025-08-26,22:05:12 | INFO | Using classifier
2025-08-26,22:05:58 | INFO | Finished zero-shot imagenet.
2025-08-26,22:05:58 | INFO | Eval Epoch: 15 imagenet-zeroshot-val-top1: 0.3368	imagenet-zeroshot-val-top5: 0.6119