The following values were not passed to `accelerate launch` and had defaults used instead:
	`--dynamo_backend` was set to a value of `'no'`
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
/workspace/sd-scripts/library/lpw_stable_diffusion.py:70: SyntaxWarning: invalid escape sequence '\('
  \( - literal character '('
/workspace/sd-scripts/library/strategy_base.py:94: SyntaxWarning: invalid escape sequence '\('
  \( - literal character '('
/workspace/sd-scripts/library/custom_train_functions.py:174: SyntaxWarning: invalid escape sequence '\('
  \( - literal character '('
2026-07-24 13:34:00 INFO     Loading dataset config from    train_network.py:926
                             /workspace/dataset.toml                            
                    INFO     prepare images.           dreambooth_dataset.py:274
                    INFO     get image size from name  dreambooth_dataset.py:149
                             of cache files                                     

  0%|          | 0/268 [00:00<?, ?it/s]
100%|██████████| 268/268 [00:00<00:00, 340525.14it/s]
                    INFO     set image size from cache dreambooth_dataset.py:179
                             files: 0/268                                       
                    INFO     found directory           dreambooth_dataset.py:221
                             /workspace/dataset                                 
                             contains 268 image files                           

read caption:   0%|          | 0/268 [00:00<?, ?it/s]
read caption: 100%|██████████| 268/268 [00:00<00:00, 17265.81it/s]
                    INFO     268 train images with     dreambooth_dataset.py:320
                             repeats.                                           
                    INFO     0 reg images with         dreambooth_dataset.py:324
                             repeats.                                           
                    WARNING  no regularization images  dreambooth_dataset.py:329
                             /                                                  
                             正則化画像が見つかりませ                           
                             んでした                                           
                    INFO     [Dataset 0]                      config_util.py:587
                               batch_size: 1                                    
                               resolution: (1024, 1024)                         
                               skip_image_resolution: None                      
                               resize_interpolation: None                       
                               enable_bucket: True                              
                               min_bucket_reso: 512                             
                               max_bucket_reso: 2048                            
                               bucket_reso_steps: 64                            
                               bucket_no_upscale: True                          
                                                                                
                               [Subset 0 of Dataset 0]                          
                                 image_dir:                                     
                             "/workspace/dataset"                               
                                 image_count: 268                               
                                 num_repeats: 1                                 
                                 shuffle_caption: False                         
                                 keep_tokens: 0                                 
                                 caption_dropout_rate: 0.0                      
                                 caption_dropout_every_n_epoc                   
                             hs: 0                                              
                                 caption_tag_dropout_rate:                      
                             0.0                                                
                                 caption_prefix: None                           
                                 caption_suffix: None                           
                                 color_aug: False                               
                                 flip_aug: False                                
                                 face_crop_aug_range: None                      
                                 random_crop: False                             
                                 token_warmup_min: 1,                           
                                 token_warmup_step: 0,                          
                                 alpha_mask: False                              
                                 resize_interpolation: None                     
                                 custom_attributes: {}                          
                                 is_reg: False                                  
                                 class_tokens: None                             
                                 caption_extension: .txt                        
                                                                                
                                                                                
                    INFO     [Prepare dataset 0]              config_util.py:599
                    INFO     loading image sizes.                 dataset.py:623

  0%|          | 0/268 [00:00<?, ?it/s]
100%|██████████| 268/268 [00:00<00:00, 22097.42it/s]
                    INFO     make buckets                         dataset.py:646
                    WARNING  min_bucket_reso and max_bucket_reso  dataset.py:663
                             are ignored if bucket_no_upscale is                
                             set, because bucket reso is defined                
                             by image size automatically /                      
                             bucket_no_upscaleが指定された場合は                
                             、bucketの解像度は画像サイズから自動               
                             計算されるため、min_bucket_resoとmax               
                             _bucket_resoは無視されます                         
                    INFO     number of images (including repeats) dataset.py:692
                             /                                                  
                             各bucketの画像枚数（繰り返し回数を含               
                             む）                                               
                    INFO     bucket 0: resolution (576, 1088),    dataset.py:697
                             count: 1                                           
                    INFO     bucket 1: resolution (576, 1536),    dataset.py:697
                             count: 1                                           
                    INFO     bucket 2: resolution (640, 1344),    dataset.py:697
                             count: 1                                           
                    INFO     bucket 3: resolution (640, 1408),    dataset.py:697
                             count: 1                                           
                    INFO     bucket 4: resolution (640, 1600),    dataset.py:697
                             count: 1                                           
                    INFO     bucket 5: resolution (704, 1216),    dataset.py:697
                             count: 9                                           
                    INFO     bucket 6: resolution (704, 1280),    dataset.py:697
                             count: 3                                           
                    INFO     bucket 7: resolution (704, 1344),    dataset.py:697
                             count: 3                                           
                    INFO     bucket 8: resolution (704, 1408),    dataset.py:697
                             count: 5                                           
                    INFO     bucket 9: resolution (704, 1472),    dataset.py:697
                             count: 2                                           
                    INFO     bucket 10: resolution (768, 1216),   dataset.py:697
                             count: 2                                           
                    INFO     bucket 11: resolution (768, 1280),   dataset.py:697
                             count: 6                                           
                    INFO     bucket 12: resolution (768, 1344),   dataset.py:697
                             count: 51                                          
                    INFO     bucket 13: resolution (832, 1088),   dataset.py:697
                             count: 17                                          
                    INFO     bucket 14: resolution (832, 1152),   dataset.py:697
                             count: 11                                          
                    INFO     bucket 15: resolution (832, 1216),   dataset.py:697
                             count: 93                                          
                    INFO     bucket 16: resolution (896, 1088),   dataset.py:697
                             count: 27                                          
                    INFO     bucket 17: resolution (896, 1152),   dataset.py:697
                             count: 2                                           
                    INFO     bucket 18: resolution (1024, 960),   dataset.py:697
                             count: 1                                           
                    INFO     bucket 19: resolution (1024, 1024),  dataset.py:697
                             count: 16                                          
                    INFO     bucket 20: resolution (1088, 832),   dataset.py:697
                             count: 1                                           
                    INFO     bucket 21: resolution (1088, 896),   dataset.py:697
                             count: 3                                           
                    INFO     bucket 22: resolution (1088, 960),   dataset.py:697
                             count: 1                                           
                    INFO     bucket 23: resolution (1216, 832),   dataset.py:697
                             count: 5                                           
                    INFO     bucket 24: resolution (1344, 768),   dataset.py:697
                             count: 5                                           
                    INFO     mean ar error (without repeats):     dataset.py:705
                             0.013930897647093302                               
                    INFO     Timestep sampling:          flux_train_utils.py:594
                             timestep_sampling=sigmoid,                         
                             discrete_flow_shift=1.0                            
                             (IGNORED for                                       
                             timestep_sampling='sigmoid'                        
                             ; only 'sigma' and 'shift'                         
                             use it), sigmoid_scale=1.0                         
                    INFO     preparing accelerator         train_network.py:1000
                    INFO     Loading Qwen3 text       anima_train_network.py:102
                             encoder...                                         
                    INFO     Loading Qwen3 text encoder from  anima_utils.py:212
                             /workspace/models/anima/split_fi                   
                             les/text_encoders/qwen_3_06b_bas                   
                             e.safetensors                                      
2026-07-24 13:34:08 INFO     Loaded Qwen3 state dict: <All    anima_utils.py:259
                             keys matched successfully>                         
                    INFO     Loaded Qwen3 text encoder.       anima_utils.py:267
                             Parameters: 596,049,920                            
                    INFO     Loading Anima VAE...     anima_train_network.py:107
                    INFO     Using image-only           anima_train_utils.py:205
                             Qwen-Image 2D VAE                                  
                    INFO     Initializing    qwen_image_autoencoder_kl_2d.py:535
                             image-only                                         
                             QwenImage 2D                                       
                             VAE                                                
                    INFO     Loading VAE     qwen_image_autoencoder_kl_2d.py:550
                             from                                               
                             /workspace/mode                                    
                             ls/anima/split_                                    
                             files/vae/qwen_                                    
                             image_vae.safet                                    
                             ensors                                             
                    INFO     Converted ComfyUI qwen_image_autoencoder_kl.py:1538
                             AutoencoderKL                                      
                             state dict keys                                    
                             to official                                        
                             format                                             
                    INFO     Skipped 8       qwen_image_autoencoder_kl_2d.py:454
                             temporal-only                                      
                             VAE weights for                                    
                             QwenImage 2D                                       
                             VAE                                                
                    INFO     Loaded          qwen_image_autoencoder_kl_2d.py:555
                             image-only                                         
                             QwenImage 2D                                       
                             VAE: <All keys                                     
                             matched                                            
                             successfully>                                      
                    INFO     [Dataset 0]                         dataset.py:1311
                    INFO     caching latents with caching         dataset.py:752
                             strategy.                                          
                    INFO     caching latents...                   dataset.py:802
accelerator device: cuda

  0%|          | 0/268 [00:00<?, ?it/s]
  0%|          | 1/268 [00:00<02:08,  2.07it/s]
  1%|          | 2/268 [00:00<01:33,  2.84it/s]
  1%|          | 3/268 [00:00<01:19,  3.34it/s]
  1%|▏         | 4/268 [00:01<01:15,  3.48it/s]
  2%|▏         | 5/268 [00:01<01:18,  3.36it/s]
  2%|▏         | 6/268 [00:01<01:13,  3.55it/s]
  3%|▎         | 7/268 [00:02<01:09,  3.74it/s]
  3%|▎         | 8/268 [00:02<01:07,  3.86it/s]
  3%|▎         | 9/268 [00:02<01:04,  3.98it/s]
  4%|▎         | 10/268 [00:02<01:03,  4.06it/s]
  4%|▍         | 11/268 [00:03<01:03,  4.05it/s]
  4%|▍         | 12/268 [00:03<01:03,  4.05it/s]
  5%|▍         | 13/268 [00:03<01:02,  4.05it/s]
  5%|▌         | 14/268 [00:04<01:34,  2.70it/s]
  6%|▌         | 15/268 [00:04<01:23,  3.04it/s]
  6%|▌         | 16/268 [00:04<01:15,  3.32it/s]
  6%|▋         | 17/268 [00:04<01:12,  3.44it/s]
  7%|▋         | 18/268 [00:05<01:10,  3.56it/s]
  7%|▋         | 19/268 [00:05<01:07,  3.68it/s]
  7%|▋         | 20/268 [00:05<01:05,  3.77it/s]
  8%|▊         | 21/268 [00:05<01:03,  3.87it/s]
  8%|▊         | 22/268 [00:06<01:03,  3.86it/s]
  9%|▊         | 23/268 [00:06<01:02,  3.90it/s]
  9%|▉         | 24/268 [00:06<01:00,  4.00it/s]
  9%|▉         | 25/268 [00:06<01:00,  4.04it/s]
 10%|▉         | 26/268 [00:07<00:59,  4.07it/s]
 10%|█         | 27/268 [00:07<00:59,  4.03it/s]
 10%|█         | 28/268 [00:07<00:59,  4.01it/s]
 11%|█         | 29/268 [00:07<00:58,  4.07it/s]
 11%|█         | 30/268 [00:08<00:58,  4.10it/s]
 12%|█▏        | 31/268 [00:08<00:58,  4.07it/s]
 12%|█▏        | 32/268 [00:08<00:59,  3.98it/s]
 12%|█▏        | 33/268 [00:08<00:57,  4.06it/s]
 13%|█▎        | 34/268 [00:09<00:57,  4.04it/s]
 13%|█▎        | 35/268 [00:09<01:25,  2.74it/s]
 13%|█▎        | 36/268 [00:09<01:15,  3.05it/s]
 14%|█▍        | 37/268 [00:10<01:10,  3.26it/s]
 14%|█▍        | 38/268 [00:10<01:05,  3.51it/s]
 15%|█▍        | 39/268 [00:10<01:03,  3.58it/s]
 15%|█▍        | 40/268 [00:11<01:04,  3.55it/s]
 15%|█▌        | 41/268 [00:11<01:02,  3.61it/s]
 16%|█▌        | 42/268 [00:11<01:03,  3.56it/s]
 16%|█▌        | 43/268 [00:11<01:05,  3.46it/s]
 16%|█▋        | 44/268 [00:12<01:04,  3.45it/s]
 17%|█▋        | 45/268 [00:12<01:03,  3.52it/s]
 17%|█▋        | 46/268 [00:12<01:03,  3.50it/s]
 18%|█▊        | 47/268 [00:13<01:02,  3.54it/s]
 18%|█▊        | 48/268 [00:13<01:02,  3.53it/s]
 18%|█▊        | 49/268 [00:13<01:00,  3.64it/s]
 19%|█▊        | 50/268 [00:13<00:59,  3.69it/s]
 19%|█▉        | 51/268 [00:14<00:58,  3.69it/s]
 19%|█▉        | 52/268 [00:14<00:57,  3.73it/s]
 20%|█▉        | 53/268 [00:14<00:56,  3.79it/s]
 20%|██        | 54/268 [00:14<00:55,  3.85it/s]
 21%|██        | 55/268 [00:15<00:55,  3.82it/s]
 21%|██        | 56/268 [00:15<00:55,  3.84it/s]
 21%|██▏       | 57/268 [00:15<00:54,  3.91it/s]
 22%|██▏       | 58/268 [00:15<00:53,  3.89it/s]
 22%|██▏       | 59/268 [00:16<00:53,  3.90it/s]
 22%|██▏       | 60/268 [00:16<00:52,  3.93it/s]
 23%|██▎       | 61/268 [00:16<00:52,  3.92it/s]
 23%|██▎       | 62/268 [00:16<00:54,  3.80it/s]
 24%|██▎       | 63/268 [00:17<00:53,  3.84it/s]
 24%|██▍       | 64/268 [00:17<00:52,  3.90it/s]
 24%|██▍       | 65/268 [00:17<00:51,  3.93it/s]
 25%|██▍       | 66/268 [00:17<00:51,  3.95it/s]
 25%|██▌       | 67/268 [00:18<00:52,  3.86it/s]
 25%|██▌       | 68/268 [00:18<00:52,  3.83it/s]
 26%|██▌       | 69/268 [00:18<00:55,  3.58it/s]
 26%|██▌       | 70/268 [00:19<00:55,  3.57it/s]
 26%|██▋       | 71/268 [00:19<00:54,  3.59it/s]
 27%|██▋       | 72/268 [00:19<00:54,  3.57it/s]
 27%|██▋       | 73/268 [00:19<00:53,  3.63it/s]
 28%|██▊       | 74/268 [00:20<00:53,  3.64it/s]
 28%|██▊       | 75/268 [00:20<00:52,  3.69it/s]
 28%|██▊       | 76/268 [00:20<00:52,  3.67it/s]
 29%|██▊       | 77/268 [00:21<00:54,  3.54it/s]
 29%|██▉       | 78/268 [00:21<00:54,  3.48it/s]
 29%|██▉       | 79/268 [00:21<00:54,  3.49it/s]
 30%|██▉       | 80/268 [00:21<00:53,  3.48it/s]
 30%|███       | 81/268 [00:22<01:07,  2.78it/s]
 31%|███       | 82/268 [00:22<01:17,  2.41it/s]
 31%|███       | 83/268 [00:23<01:07,  2.73it/s]
 31%|███▏      | 84/268 [00:23<01:00,  3.03it/s]
 32%|███▏      | 85/268 [00:23<00:56,  3.22it/s]
 32%|███▏      | 86/268 [00:23<00:53,  3.42it/s]
 32%|███▏      | 87/268 [00:24<00:50,  3.57it/s]
 33%|███▎      | 88/268 [00:24<00:50,  3.60it/s]
 33%|███▎      | 89/268 [00:24<00:49,  3.63it/s]
 34%|███▎      | 90/268 [00:25<00:47,  3.74it/s]
 34%|███▍      | 91/268 [00:25<00:46,  3.79it/s]
 34%|███▍      | 92/268 [00:25<00:45,  3.89it/s]
 35%|███▍      | 93/268 [00:25<00:45,  3.89it/s]
 35%|███▌      | 94/268 [00:26<00:44,  3.93it/s]
 35%|███▌      | 95/268 [00:26<00:44,  3.91it/s]
 36%|███▌      | 96/268 [00:26<00:44,  3.90it/s]
 36%|███▌      | 97/268 [00:26<00:43,  3.93it/s]
 37%|███▋      | 98/268 [00:27<00:43,  3.90it/s]
 37%|███▋      | 99/268 [00:27<00:43,  3.92it/s]
 37%|███▋      | 100/268 [00:27<00:44,  3.79it/s]
 38%|███▊      | 101/268 [00:27<00:43,  3.83it/s]
 38%|███▊      | 102/268 [00:28<00:44,  3.72it/s]
 38%|███▊      | 103/268 [00:28<00:44,  3.72it/s]
 39%|███▉      | 104/268 [00:28<00:44,  3.68it/s]
 39%|███▉      | 105/268 [00:28<00:44,  3.67it/s]
 40%|███▉      | 106/268 [00:29<00:42,  3.81it/s]
 40%|███▉      | 107/268 [00:29<00:41,  3.85it/s]
 40%|████      | 108/268 [00:29<00:40,  3.91it/s]
 41%|████      | 109/268 [00:29<00:41,  3.84it/s]
 41%|████      | 110/268 [00:30<00:51,  3.06it/s]
 41%|████▏     | 111/268 [00:30<00:49,  3.20it/s]
 42%|████▏     | 112/268 [00:30<00:46,  3.34it/s]
 42%|████▏     | 113/268 [00:31<00:44,  3.45it/s]
 43%|████▎     | 114/268 [00:31<00:42,  3.59it/s]
 43%|████▎     | 115/268 [00:31<00:42,  3.63it/s]
 43%|████▎     | 116/268 [00:32<00:41,  3.66it/s]
 44%|████▎     | 117/268 [00:32<00:40,  3.75it/s]
 44%|████▍     | 118/268 [00:32<00:40,  3.70it/s]
 44%|████▍     | 119/268 [00:32<00:40,  3.71it/s]
 45%|████▍     | 120/268 [00:33<00:40,  3.66it/s]
 45%|████▌     | 121/268 [00:33<00:39,  3.68it/s]
 46%|████▌     | 122/268 [00:33<00:40,  3.58it/s]
 46%|████▌     | 123/268 [00:33<00:40,  3.55it/s]
 46%|████▋     | 124/268 [00:34<00:40,  3.58it/s]
 47%|████▋     | 125/268 [00:34<00:39,  3.61it/s]
 47%|████▋     | 126/268 [00:34<00:38,  3.70it/s]
 47%|████▋     | 127/268 [00:35<00:37,  3.71it/s]
 48%|████▊     | 128/268 [00:35<00:37,  3.78it/s]
 48%|████▊     | 129/268 [00:35<00:41,  3.37it/s]
 49%|████▊     | 130/268 [00:36<00:46,  2.97it/s]
 49%|████▉     | 131/268 [00:36<00:43,  3.16it/s]
 49%|████▉     | 132/268 [00:36<00:40,  3.38it/s]
 50%|████▉     | 133/268 [00:36<00:37,  3.56it/s]
 50%|█████     | 134/268 [00:37<00:36,  3.70it/s]
 50%|█████     | 135/268 [00:37<00:35,  3.72it/s]
 51%|█████     | 136/268 [00:37<00:35,  3.74it/s]
 51%|█████     | 137/268 [00:37<00:36,  3.64it/s]
 51%|█████▏    | 138/268 [00:38<00:36,  3.60it/s]
 52%|█████▏    | 139/268 [00:38<00:35,  3.66it/s]
 52%|█████▏    | 140/268 [00:38<00:36,  3.55it/s]
 53%|█████▎    | 141/268 [00:39<00:36,  3.47it/s]
 53%|█████▎    | 142/268 [00:39<00:36,  3.49it/s]
 53%|█████▎    | 143/268 [00:39<00:36,  3.42it/s]
 54%|█████▎    | 144/268 [00:39<00:35,  3.48it/s]
 54%|█████▍    | 145/268 [00:40<00:35,  3.47it/s]
 54%|█████▍    | 146/268 [00:40<00:35,  3.44it/s]
 55%|█████▍    | 147/268 [00:40<00:33,  3.58it/s]
 55%|█████▌    | 148/268 [00:41<00:33,  3.58it/s]
 56%|█████▌    | 149/268 [00:41<00:32,  3.67it/s]
 56%|█████▌    | 150/268 [00:41<00:32,  3.62it/s]
 56%|█████▋    | 151/268 [00:41<00:32,  3.61it/s]
 57%|█████▋    | 152/268 [00:42<00:32,  3.59it/s]
 57%|█████▋    | 153/268 [00:42<00:31,  3.68it/s]
 57%|█████▋    | 154/268 [00:42<00:31,  3.60it/s]
 58%|█████▊    | 155/268 [00:43<00:31,  3.56it/s]
 58%|█████▊    | 156/268 [00:43<00:31,  3.60it/s]
 59%|█████▊    | 157/268 [00:43<00:30,  3.62it/s]
 59%|█████▉    | 158/268 [00:43<00:30,  3.65it/s]
 59%|█████▉    | 159/268 [00:44<00:29,  3.67it/s]
 60%|█████▉    | 160/268 [00:44<00:30,  3.60it/s]
 60%|██████    | 161/268 [00:44<00:29,  3.64it/s]
 60%|██████    | 162/268 [00:44<00:28,  3.67it/s]
 61%|██████    | 163/268 [00:45<00:28,  3.63it/s]
 61%|██████    | 164/268 [00:45<00:28,  3.62it/s]
 62%|██████▏   | 165/268 [00:45<00:28,  3.63it/s]
 62%|██████▏   | 166/268 [00:46<00:28,  3.58it/s]
 62%|██████▏   | 167/268 [00:46<00:27,  3.61it/s]
 63%|██████▎   | 168/268 [00:46<00:27,  3.58it/s]
 63%|██████▎   | 169/268 [00:46<00:28,  3.50it/s]
 63%|██████▎   | 170/268 [00:47<00:28,  3.49it/s]
 64%|██████▍   | 171/268 [00:47<00:28,  3.45it/s]
 64%|██████▍   | 172/268 [00:47<00:27,  3.51it/s]
 65%|██████▍   | 173/268 [00:48<00:26,  3.63it/s]
 65%|██████▍   | 174/268 [00:48<00:26,  3.59it/s]
 65%|██████▌   | 175/268 [00:48<00:28,  3.22it/s]
 66%|██████▌   | 176/268 [00:49<00:29,  3.16it/s]
 66%|██████▌   | 177/268 [00:49<00:29,  3.12it/s]
 66%|██████▋   | 178/268 [00:49<00:28,  3.14it/s]
 67%|██████▋   | 179/268 [00:49<00:28,  3.15it/s]
 67%|██████▋   | 180/268 [00:50<00:27,  3.21it/s]
 68%|██████▊   | 181/268 [00:50<00:27,  3.21it/s]
 68%|██████▊   | 182/268 [00:50<00:27,  3.16it/s]
 68%|██████▊   | 183/268 [00:51<00:26,  3.21it/s]
 69%|██████▊   | 184/268 [00:51<00:25,  3.31it/s]
 69%|██████▉   | 185/268 [00:51<00:25,  3.32it/s]
 69%|██████▉   | 186/268 [00:52<00:24,  3.34it/s]
 70%|██████▉   | 187/268 [00:52<00:23,  3.43it/s]
 70%|███████   | 188/268 [00:52<00:23,  3.46it/s]
 71%|███████   | 189/268 [00:52<00:23,  3.42it/s]
 71%|███████   | 190/268 [00:53<00:23,  3.35it/s]
 71%|███████▏  | 191/268 [00:53<00:23,  3.33it/s]
 72%|███████▏  | 192/268 [00:53<00:22,  3.33it/s]
 72%|███████▏  | 193/268 [00:54<00:21,  3.42it/s]
 72%|███████▏  | 194/268 [00:54<00:22,  3.29it/s]
 73%|███████▎  | 195/268 [00:54<00:21,  3.40it/s]
 73%|███████▎  | 196/268 [00:55<00:21,  3.42it/s]
 74%|███████▎  | 197/268 [00:55<00:20,  3.43it/s]
 74%|███████▍  | 198/268 [00:55<00:19,  3.50it/s]
 74%|███████▍  | 199/268 [00:55<00:19,  3.55it/s]
 75%|███████▍  | 200/268 [00:56<00:18,  3.60it/s]
 75%|███████▌  | 201/268 [00:56<00:18,  3.61it/s]
 75%|███████▌  | 202/268 [00:56<00:18,  3.65it/s]
 76%|███████▌  | 203/268 [00:56<00:17,  3.64it/s]
 76%|███████▌  | 204/268 [00:57<00:17,  3.65it/s]
 76%|███████▋  | 205/268 [00:57<00:21,  2.94it/s]
 77%|███████▋  | 206/268 [00:57<00:19,  3.16it/s]
 77%|███████▋  | 207/268 [00:58<00:18,  3.35it/s]
 78%|███████▊  | 208/268 [00:58<00:17,  3.51it/s]
 78%|███████▊  | 209/268 [00:58<00:16,  3.52it/s]
 78%|███████▊  | 210/268 [00:59<00:15,  3.64it/s]
 79%|███████▊  | 211/268 [00:59<00:15,  3.72it/s]
 79%|███████▉  | 212/268 [00:59<00:14,  3.82it/s]
 79%|███████▉  | 213/268 [00:59<00:14,  3.79it/s]
 80%|███████▉  | 214/268 [01:00<00:14,  3.72it/s]
 80%|████████  | 215/268 [01:00<00:14,  3.65it/s]
 81%|████████  | 216/268 [01:00<00:14,  3.58it/s]
 81%|████████  | 217/268 [01:00<00:13,  3.69it/s]
 81%|████████▏ | 218/268 [01:01<00:13,  3.67it/s]
 82%|████████▏ | 219/268 [01:01<00:13,  3.70it/s]
 82%|████████▏ | 220/268 [01:01<00:12,  3.77it/s]
 82%|████████▏ | 221/268 [01:01<00:12,  3.80it/s]
 83%|████████▎ | 222/268 [01:02<00:12,  3.80it/s]
 83%|████████▎ | 223/268 [01:02<00:11,  3.79it/s]
 84%|████████▎ | 224/268 [01:02<00:11,  3.74it/s]
 84%|████████▍ | 225/268 [01:03<00:11,  3.77it/s]
 84%|████████▍ | 226/268 [01:03<00:11,  3.80it/s]
 85%|████████▍ | 227/268 [01:03<00:10,  3.78it/s]
 85%|████████▌ | 228/268 [01:03<00:10,  3.76it/s]
 85%|████████▌ | 229/268 [01:04<00:10,  3.79it/s]
 86%|████████▌ | 230/268 [01:04<00:10,  3.79it/s]
 86%|████████▌ | 231/268 [01:04<00:09,  3.84it/s]
 87%|████████▋ | 232/268 [01:04<00:09,  3.74it/s]
 87%|████████▋ | 233/268 [01:05<00:09,  3.70it/s]
 87%|████████▋ | 234/268 [01:05<00:09,  3.68it/s]
 88%|████████▊ | 235/268 [01:05<00:08,  3.71it/s]
 88%|████████▊ | 236/268 [01:05<00:08,  3.74it/s]
 88%|████████▊ | 237/268 [01:06<00:08,  3.67it/s]
 89%|████████▉ | 238/268 [01:06<00:08,  3.71it/s]
 89%|████████▉ | 239/268 [01:06<00:07,  3.70it/s]
 90%|████████▉ | 240/268 [01:07<00:07,  3.70it/s]
 90%|████████▉ | 241/268 [01:07<00:07,  3.71it/s]
 90%|█████████ | 242/268 [01:07<00:07,  3.71it/s]
 91%|█████████ | 243/268 [01:07<00:06,  3.75it/s]
 91%|█████████ | 244/268 [01:08<00:06,  3.76it/s]
 91%|█████████▏| 245/268 [01:08<00:06,  3.83it/s]
 92%|█████████▏| 246/268 [01:08<00:05,  3.79it/s]
 92%|█████████▏| 247/268 [01:08<00:05,  3.76it/s]
 93%|█████████▎| 248/268 [01:09<00:05,  3.81it/s]
 93%|█████████▎| 249/268 [01:09<00:04,  3.84it/s]
 93%|█████████▎| 250/268 [01:09<00:04,  3.81it/s]
 94%|█████████▎| 251/268 [01:09<00:04,  3.81it/s]
 94%|█████████▍| 252/268 [01:10<00:04,  3.80it/s]
 94%|█████████▍| 253/268 [01:10<00:04,  3.70it/s]
 95%|█████████▍| 254/268 [01:10<00:03,  3.75it/s]
 95%|█████████▌| 255/268 [01:10<00:03,  3.84it/s]
 96%|█████████▌| 256/268 [01:11<00:03,  3.77it/s]
 96%|█████████▌| 257/268 [01:11<00:02,  3.72it/s]
 96%|█████████▋| 258/268 [01:11<00:02,  3.67it/s]
 97%|█████████▋| 259/268 [01:12<00:02,  3.61it/s]
 97%|█████████▋| 260/268 [01:12<00:02,  3.70it/s]
 97%|█████████▋| 261/268 [01:12<00:01,  3.70it/s]
 98%|█████████▊| 262/268 [01:12<00:01,  3.69it/s]
 98%|█████████▊| 263/268 [01:13<00:01,  3.77it/s]
 99%|█████████▊| 264/268 [01:13<00:01,  3.80it/s]
 99%|█████████▉| 265/268 [01:13<00:00,  3.81it/s]
 99%|█████████▉| 266/268 [01:13<00:00,  3.77it/s]
100%|█████████▉| 267/268 [01:14<00:00,  3.77it/s]
100%|██████████| 268/268 [01:14<00:00,  3.80it/s]
100%|██████████| 268/268 [01:14<00:00,  3.60it/s]
2026-07-24 13:35:23 INFO     move vae to cpu to save  anima_train_network.py:190
                             memory                                             
                    INFO     move text encoder to gpu anima_train_network.py:195
2026-07-24 13:35:24 INFO     [Dataset 0]                         dataset.py:1317
                    INFO     caching Text Encoder outputs with    dataset.py:863
                             caching strategy.                                  
                    INFO     checking cache validity...           dataset.py:874

  0%|          | 0/268 [00:00<?, ?it/s]
100%|██████████| 268/268 [00:00<00:00, 90607.24it/s]
                    INFO     caching Text Encoder outputs...      dataset.py:905

  0%|          | 0/268 [00:00<?, ?it/s]
  0%|          | 1/268 [00:00<00:31,  8.45it/s]
  1%|▏         | 4/268 [00:00<00:09, 26.80it/s]
  3%|▎         | 7/268 [00:00<00:09, 28.07it/s]
  4%|▎         | 10/268 [00:00<00:09, 28.01it/s]
  5%|▍         | 13/268 [00:00<00:09, 27.64it/s]
  6%|▌         | 16/268 [00:00<00:09, 27.54it/s]
  7%|▋         | 19/268 [00:00<00:08, 28.27it/s]
  8%|▊         | 22/268 [00:00<00:08, 28.02it/s]
  9%|▉         | 25/268 [00:00<00:08, 27.71it/s]
 10%|█         | 28/268 [00:01<00:08, 27.81it/s]
 12%|█▏        | 31/268 [00:01<00:08, 27.92it/s]
 13%|█▎        | 34/268 [00:01<00:08, 27.81it/s]
 14%|█▍        | 37/268 [00:01<00:08, 28.60it/s]
 15%|█▍        | 40/268 [00:01<00:08, 27.41it/s]
 16%|█▌        | 43/268 [00:01<00:08, 27.57it/s]
 17%|█▋        | 46/268 [00:01<00:08, 27.67it/s]
 18%|█▊        | 49/268 [00:01<00:07, 27.69it/s]
 19%|█▉        | 52/268 [00:01<00:07, 27.92it/s]
 21%|██        | 55/268 [00:02<00:07, 28.01it/s]
 22%|██▏       | 58/268 [00:02<00:07, 27.71it/s]
 23%|██▎       | 61/268 [00:02<00:07, 27.52it/s]
 24%|██▍       | 64/268 [00:02<00:07, 27.81it/s]
 25%|██▌       | 67/268 [00:02<00:07, 27.71it/s]
 26%|██▌       | 70/268 [00:02<00:07, 27.66it/s]
 27%|██▋       | 73/268 [00:02<00:07, 27.45it/s]
 28%|██▊       | 76/268 [00:02<00:06, 27.75it/s]
 29%|██▉       | 79/268 [00:02<00:06, 27.74it/s]
 31%|███       | 82/268 [00:03<00:06, 27.79it/s]
 32%|███▏      | 85/268 [00:03<00:06, 27.74it/s]
 33%|███▎      | 88/268 [00:03<00:06, 27.82it/s]
 34%|███▍      | 91/268 [00:03<00:06, 28.21it/s]
 35%|███▌      | 94/268 [00:03<00:06, 27.68it/s]
 36%|███▌      | 97/268 [00:03<00:06, 27.74it/s]
 37%|███▋      | 100/268 [00:03<00:06, 26.23it/s]
 38%|███▊      | 103/268 [00:03<00:05, 27.66it/s]
 40%|███▉      | 106/268 [00:03<00:05, 27.46it/s]
 41%|████      | 109/268 [00:04<00:05, 27.37it/s]
 42%|████▏     | 112/268 [00:04<00:05, 27.76it/s]
 43%|████▎     | 115/268 [00:04<00:05, 27.76it/s]
 44%|████▍     | 118/268 [00:04<00:05, 27.59it/s]
 45%|████▌     | 121/268 [00:04<00:05, 28.09it/s]
 46%|████▋     | 124/268 [00:04<00:05, 28.03it/s]
 47%|████▋     | 127/268 [00:04<00:05, 27.84it/s]
 49%|████▊     | 130/268 [00:04<00:04, 27.91it/s]
 50%|████▉     | 133/268 [00:04<00:04, 27.89it/s]
 51%|█████     | 136/268 [00:04<00:04, 28.25it/s]
 52%|█████▏    | 139/268 [00:05<00:04, 28.13it/s]
 53%|█████▎    | 142/268 [00:05<00:04, 27.97it/s]
 54%|█████▍    | 145/268 [00:05<00:04, 28.16it/s]
 55%|█████▌    | 148/268 [00:05<00:04, 27.89it/s]
 56%|█████▋    | 151/268 [00:05<00:04, 27.59it/s]
 57%|█████▋    | 154/268 [00:05<00:04, 27.90it/s]
 59%|█████▊    | 157/268 [00:05<00:03, 28.15it/s]
 60%|█████▉    | 160/268 [00:05<00:03, 28.46it/s]
 61%|██████    | 163/268 [00:05<00:03, 27.83it/s]
 62%|██████▏   | 166/268 [00:06<00:03, 28.14it/s]
 63%|██████▎   | 169/268 [00:06<00:03, 28.32it/s]
 64%|██████▍   | 172/268 [00:06<00:03, 28.02it/s]
 65%|██████▌   | 175/268 [00:06<00:03, 27.97it/s]
 66%|██████▋   | 178/268 [00:06<00:03, 28.12it/s]
 68%|██████▊   | 181/268 [00:06<00:03, 28.19it/s]
 69%|██████▊   | 184/268 [00:06<00:03, 27.99it/s]
 70%|██████▉   | 187/268 [00:06<00:02, 27.99it/s]
 71%|███████   | 190/268 [00:06<00:02, 28.05it/s]
 72%|███████▏  | 193/268 [00:07<00:02, 26.87it/s]
 73%|███████▎  | 196/268 [00:07<00:02, 27.94it/s]
 74%|███████▍  | 199/268 [00:07<00:02, 27.83it/s]
 75%|███████▌  | 202/268 [00:07<00:02, 27.69it/s]
 76%|███████▋  | 205/268 [00:07<00:02, 27.75it/s]
 78%|███████▊  | 208/268 [00:07<00:02, 28.03it/s]
 79%|███████▊  | 211/268 [00:07<00:02, 28.16it/s]
 80%|███████▉  | 214/268 [00:07<00:01, 28.24it/s]
 81%|████████  | 217/268 [00:07<00:01, 28.16it/s]
 82%|████████▏ | 220/268 [00:07<00:01, 27.90it/s]
 83%|████████▎ | 223/268 [00:08<00:01, 27.94it/s]
 84%|████████▍ | 226/268 [00:08<00:01, 27.91it/s]
 85%|████████▌ | 229/268 [00:08<00:01, 28.31it/s]
 87%|████████▋ | 232/268 [00:08<00:01, 27.45it/s]
 88%|████████▊ | 235/268 [00:08<00:01, 28.24it/s]
 89%|████████▉ | 238/268 [00:08<00:01, 27.88it/s]
 90%|████████▉ | 241/268 [00:08<00:00, 27.77it/s]
 91%|█████████ | 244/268 [00:08<00:00, 28.02it/s]
 92%|█████████▏| 247/268 [00:08<00:00, 28.15it/s]
 93%|█████████▎| 250/268 [00:09<00:00, 28.19it/s]
 94%|█████████▍| 253/268 [00:09<00:00, 27.98it/s]
 96%|█████████▌| 256/268 [00:09<00:00, 27.76it/s]
 97%|█████████▋| 259/268 [00:09<00:00, 27.98it/s]
 98%|█████████▊| 262/268 [00:09<00:00, 27.65it/s]
 99%|█████████▉| 265/268 [00:09<00:00, 27.95it/s]
100%|██████████| 268/268 [00:09<00:00, 27.79it/s]
100%|██████████| 268/268 [00:09<00:00, 27.61it/s]
2026-07-24 13:35:33 INFO     move text encoder back   anima_train_network.py:224
                             to cpu                                             
2026-07-24 13:35:34 INFO     move vae back to         anima_train_network.py:228
                             original device                                    
                    INFO     Loading Anima DiT model  anima_train_network.py:126
                             with attn_mode=torch,                              
                             split_attn: False...                               
2026-07-24 13:35:35 INFO     Loading DiT model from           anima_utils.py:105
                             /workspace/models/anima/split_fi                   
                             les/diffusion_models/anima-base-                   
                             v1.0.safetensors, device=cuda                      
                    INFO     Loading model files:               lora_utils.py:90
                             ['/workspace/models/anima/split_fi                 
                             les/diffusion_models/anima-base-v1                 
                             .0.safetensors']                                   
                    INFO     Loading state dict without FP8    lora_utils.py:264
                             optimization. Dtype of weight:                     
                             torch.bfloat16, hook enabled:                      
                             False                                              

Loading anima-base-v1.0.safetensors:   0%|          | 0/685 [00:00<?, ?it/s]
Loading anima-base-v1.0.safetensors:  14%|█▍        | 96/685 [00:00<00:00, 956.75it/s]
Loading anima-base-v1.0.safetensors:  31%|███       | 209/685 [00:00<00:00, 1055.09it/s]
Loading anima-base-v1.0.safetensors:  46%|████▌     | 315/685 [00:00<00:00, 1038.34it/s]
Loading anima-base-v1.0.safetensors:  61%|██████    | 419/685 [00:00<00:00, 801.69it/s] 
Loading anima-base-v1.0.safetensors:  75%|███████▌  | 517/685 [00:00<00:00, 854.44it/s]
                                                                                       
                    INFO     Loaded DiT model from            anima_utils.py:157
                             /workspace/models/anima/split_fi                   
                             les/diffusion_models/anima-base-                   
                             v1.0.safetensors, unexpected                       
                             missing keys: 0, unexpected                        
                             keys: 0                                            
                    INFO     create LoRA network. base dim     lora_anima.py:428
                             (rank): 32, alpha: 32.0                            
                    INFO     neuron dropout: p=None, rank      lora_anima.py:429
                             dropout: p=None, module dropout:                   
                             p=None                                             
                    INFO     create LoRA for Text Encoder 1:   lora_anima.py:533
                    INFO     create LoRA for Text Encoder 1:   lora_anima.py:535
                             196 modules.                                       
2026-07-24 13:35:36 INFO     create LoRA for Anima DiT: 280    lora_anima.py:547
                             modules.                                           
                    INFO     enable LoRA for DiT: 280 modules  lora_anima.py:591
                    INFO     use AdamW optimizer | {}           optimizer.py:305
2026-07-24 13:35:39 INFO     text_encoder is not needed    train_network.py:1494
                             for training. deleting to                          
                             save memory.                                       
                    INFO     unet dtype: torch.bfloat16,   train_network.py:1519
                             device: cuda:0                                     
import network module: networks.lora_anima
prepare optimizer, data loader etc.
override steps. steps for 16 epochs is / 指定エポックまでのステップ数: 4288
running training / 学習開始
  num train images * repeats / 学習画像の数×繰り返し回数: 268
  num validation images * repeats / 学習画像の数×繰り返し回数: 0
  num reg images / 正則化画像の数: 0
  num batches per epoch / 1epochのバッチ数: 268
  num epochs / epoch数: 16
  batch size per device / バッチサイズ: 1
  gradient accumulation steps / 勾配を合計するステップ数 = 1
  total optimization steps / 学習ステップ数: 4288

steps:   0%|          | 0/4288 [00:00<?, ?it/s]
epoch 1/16

huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
	- Avoid using `tokenizers` before the fork if possible
	- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
                    INFO     epoch is incremented. current_epoch: dataset.py:464
                             0, epoch: 1                                        
                    INFO     epoch is incremented. current_epoch: dataset.py:464
                             0, epoch: 1                                        

steps:   0%|          | 1/4288 [00:01<2:05:16,  1.75s/it]
steps:   0%|          | 1/4288 [00:01<2:05:18,  1.75s/it, avr_loss=0.112]
steps:   0%|          | 2/4288 [00:02<1:46:59,  1.50s/it, avr_loss=0.112]
steps:   0%|          | 2/4288 [00:02<1:47:01,  1.50s/it, avr_loss=0.105]
steps:   0%|          | 3/4288 [00:04<1:38:10,  1.37s/it, avr_loss=0.105]
steps:   0%|          | 3/4288 [00:04<1:38:12,  1.38s/it, avr_loss=0.117]
steps:   0%|          | 4/4288 [00:05<1:33:46,  1.31s/it, avr_loss=0.117]
steps:   0%|          | 4/4288 [00:05<1:33:47,  1.31s/it, avr_loss=0.106]
steps:   0%|          | 5/4288 [00:06<1:31:33,  1.28s/it, avr_loss=0.106]
steps:   0%|          | 5/4288 [00:06<1:31:35,  1.28s/it, avr_loss=0.108]
steps:   0%|          | 6/4288 [00:07<1:30:58,  1.27s/it, avr_loss=0.108]
steps:   0%|          | 6/4288 [00:07<1:30:59,  1.28s/it, avr_loss=0.0986]
steps:   0%|          | 7/4288 [00:08<1:29:27,  1.25s/it, avr_loss=0.0986]
steps:   0%|          | 7/4288 [00:08<1:29:28,  1.25s/it, avr_loss=0.0946]
steps:   0%|          | 8/4288 [00:10<1:30:12,  1.26s/it, avr_loss=0.0946]
steps:   0%|          | 8/4288 [00:10<1:30:13,  1.26s/it, avr_loss=0.0935]
steps:   0%|          | 9/4288 [00:11<1:30:35,  1.27s/it, avr_loss=0.0935]
steps:   0%|          | 9/4288 [00:11<1:30:35,  1.27s/it, avr_loss=0.0956]
steps:   0%|          | 10/4288 [00:12<1:30:53,  1.27s/it, avr_loss=0.0956]
steps:   0%|          | 10/4288 [00:12<1:30:54,  1.27s/it, avr_loss=0.0953]
steps:   0%|          | 11/4288 [00:13<1:29:55,  1.26s/it, avr_loss=0.0953]
steps:   0%|          | 11/4288 [00:13<1:29:56,  1.26s/it, avr_loss=0.0934]
steps:   0%|          | 12/4288 [00:15<1:30:15,  1.27s/it, avr_loss=0.0934]
steps:   0%|          | 12/4288 [00:15<1:30:16,  1.27s/it, avr_loss=0.0967]
steps:   0%|          | 13/4288 [00:16<1:30:42,  1.27s/it, avr_loss=0.0967]
steps:   0%|          | 13/4288 [00:16<1:30:43,  1.27s/it, avr_loss=0.0921]
steps:   0%|          | 14/4288 [00:17<1:30:20,  1.27s/it, avr_loss=0.0921]
steps:   0%|          | 14/4288 [00:17<1:30:20,  1.27s/it, avr_loss=0.0904]
steps:   0%|          | 15/4288 [00:19<1:30:33,  1.27s/it, avr_loss=0.0904]
steps:   0%|          | 15/4288 [00:19<1:30:33,  1.27s/it, avr_loss=0.0895]
steps:   0%|          | 16/4288 [00:20<1:30:22,  1.27s/it, avr_loss=0.0895]
steps:   0%|          | 16/4288 [00:20<1:30:23,  1.27s/it, avr_loss=0.0867]
steps:   0%|          | 17/4288 [00:21<1:30:06,  1.27s/it, avr_loss=0.0867]
steps:   0%|          | 17/4288 [00:21<1:30:06,  1.27s/it, avr_loss=0.0852]
steps:   0%|          | 18/4288 [00:22<1:30:17,  1.27s/it, avr_loss=0.0852]
steps:   0%|          | 18/4288 [00:22<1:30:18,  1.27s/it, avr_loss=0.0828]
steps:   0%|          | 19/4288 [00:24<1:30:06,  1.27s/it, avr_loss=0.0828]
steps:   0%|          | 19/4288 [00:24<1:30:06,  1.27s/it, avr_loss=0.0831]
steps:   0%|          | 20/4288 [00:25<1:30:21,  1.27s/it, avr_loss=0.0831]
steps:   0%|          | 20/4288 [00:25<1:30:21,  1.27s/it, avr_loss=0.0828]
steps:   0%|          | 21/4288 [00:26<1:30:31,  1.27s/it, avr_loss=0.0828]
steps:   0%|          | 21/4288 [00:26<1:30:31,  1.27s/it, avr_loss=0.095] 
steps:   1%|          | 22/4288 [00:27<1:30:17,  1.27s/it, avr_loss=0.095]
steps:   1%|          | 22/4288 [00:27<1:30:17,  1.27s/it, avr_loss=0.0931]
steps:   1%|          | 23/4288 [00:29<1:30:10,  1.27s/it, avr_loss=0.0931]
steps:   1%|          | 23/4288 [00:29<1:30:10,  1.27s/it, avr_loss=0.0955]
steps:   1%|          | 24/4288 [00:30<1:29:59,  1.27s/it, avr_loss=0.0955]
steps:   1%|          | 24/4288 [00:30<1:29:59,  1.27s/it, avr_loss=0.0946]
steps:   1%|          | 25/4288 [00:31<1:30:11,  1.27s/it, avr_loss=0.0946]
steps:   1%|          | 25/4288 [00:31<1:30:12,  1.27s/it, avr_loss=0.0936]
steps:   1%|          | 26/4288 [00:33<1:30:19,  1.27s/it, avr_loss=0.0936]
steps:   1%|          | 26/4288 [00:33<1:30:19,  1.27s/it, avr_loss=0.0929]
steps:   1%|          | 27/4288 [00:34<1:30:09,  1.27s/it, avr_loss=0.0929]
steps:   1%|          | 27/4288 [00:34<1:30:09,  1.27s/it, avr_loss=0.0935]
steps:   1%|          | 28/4288 [00:35<1:29:56,  1.27s/it, avr_loss=0.0935]
steps:   1%|          | 28/4288 [00:35<1:29:56,  1.27s/it, avr_loss=0.0956]
steps:   1%|          | 29/4288 [00:36<1:30:04,  1.27s/it, avr_loss=0.0956]
steps:   1%|          | 29/4288 [00:36<1:30:05,  1.27s/it, avr_loss=0.095] 
steps:   1%|          | 30/4288 [00:38<1:30:00,  1.27s/it, avr_loss=0.095]
steps:   1%|          | 30/4288 [00:38<1:30:00,  1.27s/it, avr_loss=0.0951]
steps:   1%|          | 31/4288 [00:39<1:29:35,  1.26s/it, avr_loss=0.0951]
steps:   1%|          | 31/4288 [00:39<1:29:35,  1.26s/it, avr_loss=0.095] 
steps:   1%|          | 32/4288 [00:40<1:29:17,  1.26s/it, avr_loss=0.095]
steps:   1%|          | 32/4288 [00:40<1:29:17,  1.26s/it, avr_loss=0.0946]
steps:   1%|          | 33/4288 [00:41<1:29:14,  1.26s/it, avr_loss=0.0946]
steps:   1%|          | 33/4288 [00:41<1:29:15,  1.26s/it, avr_loss=0.0956]
steps:   1%|          | 34/4288 [00:42<1:29:21,  1.26s/it, avr_loss=0.0956]
steps:   1%|          | 34/4288 [00:42<1:29:21,  1.26s/it, avr_loss=0.0953]
steps:   1%|          | 35/4288 [00:44<1:29:14,  1.26s/it, avr_loss=0.0953]
steps:   1%|          | 35/4288 [00:44<1:29:15,  1.26s/it, avr_loss=0.0946]
steps:   1%|          | 36/4288 [00:45<1:28:58,  1.26s/it, avr_loss=0.0946]
steps:   1%|          | 36/4288 [00:45<1:28:59,  1.26s/it, avr_loss=0.0943]
steps:   1%|          | 37/4288 [00:46<1:28:51,  1.25s/it, avr_loss=0.0943]
steps:   1%|          | 37/4288 [00:46<1:28:51,  1.25s/it, avr_loss=0.0937]
steps:   1%|          | 38/4288 [00:47<1:29:00,  1.26s/it, avr_loss=0.0937]
steps:   1%|          | 38/4288 [00:47<1:29:01,  1.26s/it, avr_loss=0.0925]
steps:   1%|          | 39/4288 [00:49<1:28:58,  1.26s/it, avr_loss=0.0925]
steps:   1%|          | 39/4288 [00:49<1:28:59,  1.26s/it, avr_loss=0.0915]
steps:   1%|          | 40/4288 [00:50<1:29:08,  1.26s/it, avr_loss=0.0915]
steps:   1%|          | 40/4288 [00:50<1:29:08,  1.26s/it, avr_loss=0.0903]
steps:   1%|          | 41/4288 [00:51<1:29:06,  1.26s/it, avr_loss=0.0903]
steps:   1%|          | 41/4288 [00:51<1:29:06,  1.26s/it, avr_loss=0.09]  
steps:   1%|          | 42/4288 [00:52<1:28:48,  1.25s/it, avr_loss=0.09]
steps:   1%|          | 42/4288 [00:52<1:28:48,  1.25s/it, avr_loss=0.0894]
steps:   1%|          | 43/4288 [00:53<1:28:46,  1.25s/it, avr_loss=0.0894]
steps:   1%|          | 43/4288 [00:53<1:28:46,  1.25s/it, avr_loss=0.0896]
steps:   1%|          | 44/4288 [00:55<1:28:44,  1.25s/it, avr_loss=0.0896]
steps:   1%|          | 44/4288 [00:55<1:28:44,  1.25s/it, avr_loss=0.089] 
steps:   1%|          | 45/4288 [00:56<1:28:36,  1.25s/it, avr_loss=0.089]
steps:   1%|          | 45/4288 [00:56<1:28:36,  1.25s/it, avr_loss=0.0891]
steps:   1%|          | 46/4288 [00:57<1:28:35,  1.25s/it, avr_loss=0.0891]
steps:   1%|          | 46/4288 [00:57<1:28:35,  1.25s/it, avr_loss=0.0923]
steps:   1%|          | 47/4288 [00:58<1:28:20,  1.25s/it, avr_loss=0.0923]
steps:   1%|          | 47/4288 [00:58<1:28:20,  1.25s/it, avr_loss=0.0935]
steps:   1%|          | 48/4288 [01:00<1:28:26,  1.25s/it, avr_loss=0.0935]
steps:   1%|          | 48/4288 [01:00<1:28:26,  1.25s/it, avr_loss=0.0927]
steps:   1%|          | 49/4288 [01:01<1:28:25,  1.25s/it, avr_loss=0.0927]
steps:   1%|          | 49/4288 [01:01<1:28:25,  1.25s/it, avr_loss=0.0923]
steps:   1%|          | 50/4288 [01:02<1:28:24,  1.25s/it, avr_loss=0.0923]
steps:   1%|          | 50/4288 [01:02<1:28:24,  1.25s/it, avr_loss=0.0915]
steps:   1%|          | 51/4288 [01:03<1:28:30,  1.25s/it, avr_loss=0.0915]
steps:   1%|          | 51/4288 [01:03<1:28:30,  1.25s/it, avr_loss=0.0906]
steps:   1%|          | 52/4288 [01:05<1:28:29,  1.25s/it, avr_loss=0.0906]
steps:   1%|          | 52/4288 [01:05<1:28:29,  1.25s/it, avr_loss=0.09]  
steps:   1%|          | 53/4288 [01:06<1:28:35,  1.26s/it, avr_loss=0.09]
steps:   1%|          | 53/4288 [01:06<1:28:35,  1.26s/it, avr_loss=0.0895]
steps:   1%|▏         | 54/4288 [01:07<1:28:33,  1.26s/it, avr_loss=0.0895]
steps:   1%|▏         | 54/4288 [01:07<1:28:33,  1.26s/it, avr_loss=0.0889]
steps:   1%|▏         | 55/4288 [01:09<1:28:32,  1.26s/it, avr_loss=0.0889]
steps:   1%|▏         | 55/4288 [01:09<1:28:32,  1.26s/it, avr_loss=0.0881]
steps:   1%|▏         | 56/4288 [01:10<1:28:31,  1.26s/it, avr_loss=0.0881]
steps:   1%|▏         | 56/4288 [01:10<1:28:31,  1.26s/it, avr_loss=0.0879]
steps:   1%|▏         | 57/4288 [01:11<1:28:26,  1.25s/it, avr_loss=0.0879]
steps:   1%|▏         | 57/4288 [01:11<1:28:26,  1.25s/it, avr_loss=0.0881]
steps:   1%|▏         | 58/4288 [01:12<1:28:24,  1.25s/it, avr_loss=0.0881]
steps:   1%|▏         | 58/4288 [01:12<1:28:25,  1.25s/it, avr_loss=0.088] 
steps:   1%|▏         | 59/4288 [01:13<1:28:19,  1.25s/it, avr_loss=0.088]
steps:   1%|▏         | 59/4288 [01:13<1:28:20,  1.25s/it, avr_loss=0.0874]
steps:   1%|▏         | 60/4288 [01:15<1:28:24,  1.25s/it, avr_loss=0.0874]
steps:   1%|▏         | 60/4288 [01:15<1:28:24,  1.25s/it, avr_loss=0.0873]
steps:   1%|▏         | 61/4288 [01:16<1:28:23,  1.25s/it, avr_loss=0.0873]
steps:   1%|▏         | 61/4288 [01:16<1:28:23,  1.25s/it, avr_loss=0.0867]
steps:   1%|▏         | 62/4288 [01:17<1:28:21,  1.25s/it, avr_loss=0.0867]
steps:   1%|▏         | 62/4288 [01:17<1:28:22,  1.25s/it, avr_loss=0.0862]
steps:   1%|▏         | 63/4288 [01:19<1:28:20,  1.25s/it, avr_loss=0.0862]
steps:   1%|▏         | 63/4288 [01:19<1:28:20,  1.25s/it, avr_loss=0.0862]
steps:   1%|▏         | 64/4288 [01:20<1:28:24,  1.26s/it, avr_loss=0.0862]
steps:   1%|▏         | 64/4288 [01:20<1:28:24,  1.26s/it, avr_loss=0.0859]
steps:   2%|▏         | 65/4288 [01:21<1:28:28,  1.26s/it, avr_loss=0.0859]
steps:   2%|▏         | 65/4288 [01:21<1:28:28,  1.26s/it, avr_loss=0.0866]
steps:   2%|▏         | 66/4288 [01:22<1:28:20,  1.26s/it, avr_loss=0.0866]
steps:   2%|▏         | 66/4288 [01:22<1:28:20,  1.26s/it, avr_loss=0.0862]
steps:   2%|▏         | 67/4288 [01:24<1:28:30,  1.26s/it, avr_loss=0.0862]
steps:   2%|▏         | 67/4288 [01:24<1:28:30,  1.26s/it, avr_loss=0.0854]
steps:   2%|▏         | 68/4288 [01:25<1:28:27,  1.26s/it, avr_loss=0.0854]
steps:   2%|▏         | 68/4288 [01:25<1:28:27,  1.26s/it, avr_loss=0.0848]
steps:   2%|▏         | 69/4288 [01:26<1:28:23,  1.26s/it, avr_loss=0.0848]
steps:   2%|▏         | 69/4288 [01:26<1:28:23,  1.26s/it, avr_loss=0.0844]
steps:   2%|▏         | 70/4288 [01:28<1:28:26,  1.26s/it, avr_loss=0.0844]
steps:   2%|▏         | 70/4288 [01:28<1:28:26,  1.26s/it, avr_loss=0.0842]
steps:   2%|▏         | 71/4288 [01:29<1:28:22,  1.26s/it, avr_loss=0.0842]
steps:   2%|▏         | 71/4288 [01:29<1:28:22,  1.26s/it, avr_loss=0.0837]
steps:   2%|▏         | 72/4288 [01:30<1:28:26,  1.26s/it, avr_loss=0.0837]
steps:   2%|▏         | 72/4288 [01:30<1:28:26,  1.26s/it, avr_loss=0.0832]
steps:   2%|▏         | 73/4288 [01:31<1:28:25,  1.26s/it, avr_loss=0.0832]
steps:   2%|▏         | 73/4288 [01:31<1:28:25,  1.26s/it, avr_loss=0.0827]
steps:   2%|▏         | 74/4288 [01:33<1:28:23,  1.26s/it, avr_loss=0.0827]
steps:   2%|▏         | 74/4288 [01:33<1:28:23,  1.26s/it, avr_loss=0.0822]
steps:   2%|▏         | 75/4288 [01:34<1:28:13,  1.26s/it, avr_loss=0.0822]
steps:   2%|▏         | 75/4288 [01:34<1:28:13,  1.26s/it, avr_loss=0.0817]
steps:   2%|▏         | 76/4288 [01:35<1:28:16,  1.26s/it, avr_loss=0.0817]
steps:   2%|▏         | 76/4288 [01:35<1:28:16,  1.26s/it, avr_loss=0.0812]
steps:   2%|▏         | 77/4288 [01:36<1:28:13,  1.26s/it, avr_loss=0.0812]
steps:   2%|▏         | 77/4288 [01:36<1:28:13,  1.26s/it, avr_loss=0.0808]
steps:   2%|▏         | 78/4288 [01:38<1:28:11,  1.26s/it, avr_loss=0.0808]
steps:   2%|▏         | 78/4288 [01:38<1:28:11,  1.26s/it, avr_loss=0.0815]
steps:   2%|▏         | 79/4288 [01:39<1:28:08,  1.26s/it, avr_loss=0.0815]
steps:   2%|▏         | 79/4288 [01:39<1:28:08,  1.26s/it, avr_loss=0.0814]
steps:   2%|▏         | 80/4288 [01:40<1:28:09,  1.26s/it, avr_loss=0.0814]
steps:   2%|▏         | 80/4288 [01:40<1:28:09,  1.26s/it, avr_loss=0.0841]
steps:   2%|▏         | 81/4288 [01:41<1:28:12,  1.26s/it, avr_loss=0.0841]
steps:   2%|▏         | 81/4288 [01:41<1:28:12,  1.26s/it, avr_loss=0.0838]
steps:   2%|▏         | 82/4288 [01:43<1:28:11,  1.26s/it, avr_loss=0.0838]
steps:   2%|▏         | 82/4288 [01:43<1:28:11,  1.26s/it, avr_loss=0.0837]
steps:   2%|▏         | 83/4288 [01:44<1:28:13,  1.26s/it, avr_loss=0.0837]
steps:   2%|▏         | 83/4288 [01:44<1:28:14,  1.26s/it, avr_loss=0.084] 
steps:   2%|▏         | 84/4288 [01:45<1:28:16,  1.26s/it, avr_loss=0.084]
steps:   2%|▏         | 84/4288 [01:45<1:28:16,  1.26s/it, avr_loss=0.0863]
steps:   2%|▏         | 85/4288 [01:47<1:28:12,  1.26s/it, avr_loss=0.0863]
steps:   2%|▏         | 85/4288 [01:47<1:28:13,  1.26s/it, avr_loss=0.0863]
steps:   2%|▏         | 86/4288 [01:48<1:28:04,  1.26s/it, avr_loss=0.0863]
steps:   2%|▏         | 86/4288 [01:48<1:28:04,  1.26s/it, avr_loss=0.0863]
steps:   2%|▏         | 87/4288 [01:49<1:28:02,  1.26s/it, avr_loss=0.0863]
steps:   2%|▏         | 87/4288 [01:49<1:28:02,  1.26s/it, avr_loss=0.0862]
steps:   2%|▏         | 88/4288 [01:50<1:28:01,  1.26s/it, avr_loss=0.0862]
steps:   2%|▏         | 88/4288 [01:50<1:28:01,  1.26s/it, avr_loss=0.086] 
steps:   2%|▏         | 89/4288 [01:51<1:27:57,  1.26s/it, avr_loss=0.086]
steps:   2%|▏         | 89/4288 [01:51<1:27:57,  1.26s/it, avr_loss=0.0856]
steps:   2%|▏         | 90/4288 [01:53<1:27:55,  1.26s/it, avr_loss=0.0856]
steps:   2%|▏         | 90/4288 [01:53<1:27:55,  1.26s/it, avr_loss=0.0854]
steps:   2%|▏         | 91/4288 [01:54<1:27:53,  1.26s/it, avr_loss=0.0854]
steps:   2%|▏         | 91/4288 [01:54<1:27:53,  1.26s/it, avr_loss=0.0855]
steps:   2%|▏         | 92/4288 [01:55<1:27:55,  1.26s/it, avr_loss=0.0855]
steps:   2%|▏         | 92/4288 [01:55<1:27:55,  1.26s/it, avr_loss=0.0851]
steps:   2%|▏         | 93/4288 [01:56<1:27:54,  1.26s/it, avr_loss=0.0851]
steps:   2%|▏         | 93/4288 [01:56<1:27:54,  1.26s/it, avr_loss=0.0854]
steps:   2%|▏         | 94/4288 [01:58<1:27:56,  1.26s/it, avr_loss=0.0854]
steps:   2%|▏         | 94/4288 [01:58<1:27:56,  1.26s/it, avr_loss=0.0877]
steps:   2%|▏         | 95/4288 [01:59<1:27:50,  1.26s/it, avr_loss=0.0877]
steps:   2%|▏         | 95/4288 [01:59<1:27:50,  1.26s/it, avr_loss=0.0883]
steps:   2%|▏         | 96/4288 [02:00<1:27:43,  1.26s/it, avr_loss=0.0883]
steps:   2%|▏         | 96/4288 [02:00<1:27:43,  1.26s/it, avr_loss=0.0883]
steps:   2%|▏         | 97/4288 [02:01<1:27:46,  1.26s/it, avr_loss=0.0883]
steps:   2%|▏         | 97/4288 [02:01<1:27:46,  1.26s/it, avr_loss=0.0878]
steps:   2%|▏         | 98/4288 [02:03<1:27:45,  1.26s/it, avr_loss=0.0878]
steps:   2%|▏         | 98/4288 [02:03<1:27:45,  1.26s/it, avr_loss=0.088] 
steps:   2%|▏         | 99/4288 [02:04<1:27:48,  1.26s/it, avr_loss=0.088]
steps:   2%|▏         | 99/4288 [02:04<1:27:48,  1.26s/it, avr_loss=0.0879]
steps:   2%|▏         | 100/4288 [02:05<1:27:41,  1.26s/it, avr_loss=0.0879]
steps:   2%|▏         | 100/4288 [02:05<1:27:41,  1.26s/it, avr_loss=0.0883]
steps:   2%|▏         | 101/4288 [02:06<1:27:40,  1.26s/it, avr_loss=0.0883]
steps:   2%|▏         | 101/4288 [02:06<1:27:40,  1.26s/it, avr_loss=0.0881]
steps:   2%|▏         | 102/4288 [02:08<1:27:36,  1.26s/it, avr_loss=0.0881]
steps:   2%|▏         | 102/4288 [02:08<1:27:36,  1.26s/it, avr_loss=0.0877]
steps:   2%|▏         | 103/4288 [02:09<1:27:30,  1.25s/it, avr_loss=0.0877]
steps:   2%|▏         | 103/4288 [02:09<1:27:30,  1.25s/it, avr_loss=0.089] 
steps:   2%|▏         | 104/4288 [02:10<1:27:29,  1.25s/it, avr_loss=0.089]
steps:   2%|▏         | 104/4288 [02:10<1:27:29,  1.25s/it, avr_loss=0.089]
steps:   2%|▏         | 105/4288 [02:11<1:27:28,  1.25s/it, avr_loss=0.089]
steps:   2%|▏         | 105/4288 [02:11<1:27:28,  1.25s/it, avr_loss=0.0896]
steps:   2%|▏         | 106/4288 [02:12<1:27:25,  1.25s/it, avr_loss=0.0896]
steps:   2%|▏         | 106/4288 [02:12<1:27:25,  1.25s/it, avr_loss=0.0895]
steps:   2%|▏         | 107/4288 [02:14<1:27:22,  1.25s/it, avr_loss=0.0895]
steps:   2%|▏         | 107/4288 [02:14<1:27:22,  1.25s/it, avr_loss=0.0892]
steps:   3%|▎         | 108/4288 [02:15<1:27:24,  1.25s/it, avr_loss=0.0892]
steps:   3%|▎         | 108/4288 [02:15<1:27:24,  1.25s/it, avr_loss=0.0887]
steps:   3%|▎         | 109/4288 [02:16<1:27:21,  1.25s/it, avr_loss=0.0887]
steps:   3%|▎         | 109/4288 [02:16<1:27:21,  1.25s/it, avr_loss=0.0887]
steps:   3%|▎         | 110/4288 [02:17<1:27:20,  1.25s/it, avr_loss=0.0887]
steps:   3%|▎         | 110/4288 [02:17<1:27:21,  1.25s/it, avr_loss=0.0888]
steps:   3%|▎         | 111/4288 [02:19<1:27:23,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 111/4288 [02:19<1:27:23,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 112/4288 [02:20<1:27:25,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 112/4288 [02:20<1:27:25,  1.26s/it, avr_loss=0.0886]
steps:   3%|▎         | 113/4288 [02:21<1:27:20,  1.26s/it, avr_loss=0.0886]
steps:   3%|▎         | 113/4288 [02:21<1:27:20,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 114/4288 [02:23<1:27:22,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 114/4288 [02:23<1:27:22,  1.26s/it, avr_loss=0.0886]
steps:   3%|▎         | 115/4288 [02:24<1:27:17,  1.25s/it, avr_loss=0.0886]
steps:   3%|▎         | 115/4288 [02:24<1:27:17,  1.26s/it, avr_loss=0.0892]
steps:   3%|▎         | 116/4288 [02:25<1:27:15,  1.26s/it, avr_loss=0.0892]
steps:   3%|▎         | 116/4288 [02:25<1:27:15,  1.26s/it, avr_loss=0.0889]
steps:   3%|▎         | 117/4288 [02:26<1:27:14,  1.26s/it, avr_loss=0.0889]
steps:   3%|▎         | 117/4288 [02:26<1:27:14,  1.26s/it, avr_loss=0.0885]
steps:   3%|▎         | 118/4288 [02:28<1:27:16,  1.26s/it, avr_loss=0.0885]
steps:   3%|▎         | 118/4288 [02:28<1:27:16,  1.26s/it, avr_loss=0.0886]
steps:   3%|▎         | 119/4288 [02:29<1:27:15,  1.26s/it, avr_loss=0.0886]
steps:   3%|▎         | 119/4288 [02:29<1:27:15,  1.26s/it, avr_loss=0.0892]
steps:   3%|▎         | 120/4288 [02:30<1:27:16,  1.26s/it, avr_loss=0.0892]
steps:   3%|▎         | 120/4288 [02:30<1:27:17,  1.26s/it, avr_loss=0.0893]
steps:   3%|▎         | 121/4288 [02:31<1:27:14,  1.26s/it, avr_loss=0.0893]
steps:   3%|▎         | 121/4288 [02:31<1:27:14,  1.26s/it, avr_loss=0.0893]
steps:   3%|▎         | 122/4288 [02:33<1:27:14,  1.26s/it, avr_loss=0.0893]
steps:   3%|▎         | 122/4288 [02:33<1:27:14,  1.26s/it, avr_loss=0.0899]
steps:   3%|▎         | 123/4288 [02:34<1:27:17,  1.26s/it, avr_loss=0.0899]
steps:   3%|▎         | 123/4288 [02:34<1:27:17,  1.26s/it, avr_loss=0.0893]
steps:   3%|▎         | 124/4288 [02:35<1:27:15,  1.26s/it, avr_loss=0.0893]
steps:   3%|▎         | 124/4288 [02:35<1:27:15,  1.26s/it, avr_loss=0.089] 
steps:   3%|▎         | 125/4288 [02:37<1:27:10,  1.26s/it, avr_loss=0.089]
steps:   3%|▎         | 125/4288 [02:37<1:27:10,  1.26s/it, avr_loss=0.0887]
steps:   3%|▎         | 126/4288 [02:38<1:27:08,  1.26s/it, avr_loss=0.0887]
steps:   3%|▎         | 126/4288 [02:38<1:27:08,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 127/4288 [02:39<1:27:09,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 127/4288 [02:39<1:27:09,  1.26s/it, avr_loss=0.089] 
steps:   3%|▎         | 128/4288 [02:40<1:27:07,  1.26s/it, avr_loss=0.089]
steps:   3%|▎         | 128/4288 [02:40<1:27:07,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 129/4288 [02:42<1:27:06,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 129/4288 [02:42<1:27:06,  1.26s/it, avr_loss=0.089] 
steps:   3%|▎         | 130/4288 [02:43<1:27:05,  1.26s/it, avr_loss=0.089]
steps:   3%|▎         | 130/4288 [02:43<1:27:05,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 131/4288 [02:44<1:27:04,  1.26s/it, avr_loss=0.0888]
steps:   3%|▎         | 131/4288 [02:44<1:27:04,  1.26s/it, avr_loss=0.0885]
steps:   3%|▎         | 132/4288 [02:45<1:27:03,  1.26s/it, avr_loss=0.0885]
steps:   3%|▎         | 132/4288 [02:45<1:27:03,  1.26s/it, avr_loss=0.0883]
steps:   3%|▎         | 133/4288 [02:47<1:27:02,  1.26s/it, avr_loss=0.0883]
steps:   3%|▎         | 133/4288 [02:47<1:27:02,  1.26s/it, avr_loss=0.0882]
steps:   3%|▎         | 134/4288 [02:48<1:27:03,  1.26s/it, avr_loss=0.0882]
steps:   3%|▎         | 134/4288 [02:48<1:27:03,  1.26s/it, avr_loss=0.0882]
steps:   3%|▎         | 135/4288 [02:49<1:27:05,  1.26s/it, avr_loss=0.0882]
steps:   3%|▎         | 135/4288 [02:49<1:27:05,  1.26s/it, avr_loss=0.0879]
steps:   3%|▎         | 136/4288 [02:51<1:27:09,  1.26s/it, avr_loss=0.0879]
steps:   3%|▎         | 136/4288 [02:51<1:27:09,  1.26s/it, avr_loss=0.0875]
steps:   3%|▎         | 137/4288 [02:52<1:27:07,  1.26s/it, avr_loss=0.0875]
steps:   3%|▎         | 137/4288 [02:52<1:27:07,  1.26s/it, avr_loss=0.0874]
steps:   3%|▎         | 138/4288 [02:53<1:27:06,  1.26s/it, avr_loss=0.0874]
steps:   3%|▎         | 138/4288 [02:53<1:27:06,  1.26s/it, avr_loss=0.0872]
steps:   3%|▎         | 139/4288 [02:55<1:27:07,  1.26s/it, avr_loss=0.0872]
steps:   3%|▎         | 139/4288 [02:55<1:27:07,  1.26s/it, avr_loss=0.087] 
steps:   3%|▎         | 140/4288 [02:56<1:27:03,  1.26s/it, avr_loss=0.087]
steps:   3%|▎         | 140/4288 [02:56<1:27:03,  1.26s/it, avr_loss=0.0872]
steps:   3%|▎         | 141/4288 [02:57<1:26:59,  1.26s/it, avr_loss=0.0872]
steps:   3%|▎         | 141/4288 [02:57<1:26:59,  1.26s/it, avr_loss=0.0872]
steps:   3%|▎         | 142/4288 [02:58<1:26:54,  1.26s/it, avr_loss=0.0872]
steps:   3%|▎         | 142/4288 [02:58<1:26:54,  1.26s/it, avr_loss=0.0872]
steps:   3%|▎         | 143/4288 [02:59<1:26:53,  1.26s/it, avr_loss=0.0872]
steps:   3%|▎         | 143/4288 [02:59<1:26:53,  1.26s/it, avr_loss=0.0873]
steps:   3%|▎         | 144/4288 [03:01<1:26:51,  1.26s/it, avr_loss=0.0873]
steps:   3%|▎         | 144/4288 [03:01<1:26:51,  1.26s/it, avr_loss=0.0871]
steps:   3%|▎         | 145/4288 [03:02<1:26:49,  1.26s/it, avr_loss=0.0871]
steps:   3%|▎         | 145/4288 [03:02<1:26:49,  1.26s/it, avr_loss=0.0868]
steps:   3%|▎         | 146/4288 [03:03<1:26:48,  1.26s/it, avr_loss=0.0868]
steps:   3%|▎         | 146/4288 [03:03<1:26:48,  1.26s/it, avr_loss=0.0873]
steps:   3%|▎         | 147/4288 [03:04<1:26:49,  1.26s/it, avr_loss=0.0873]
steps:   3%|▎         | 147/4288 [03:04<1:26:49,  1.26s/it, avr_loss=0.0872]
steps:   3%|▎         | 148/4288 [03:06<1:26:51,  1.26s/it, avr_loss=0.0872]
steps:   3%|▎         | 148/4288 [03:06<1:26:51,  1.26s/it, avr_loss=0.087] 
steps:   3%|▎         | 149/4288 [03:07<1:26:52,  1.26s/it, avr_loss=0.087]
steps:   3%|▎         | 149/4288 [03:07<1:26:52,  1.26s/it, avr_loss=0.0868]
steps:   3%|▎         | 150/4288 [03:08<1:26:53,  1.26s/it, avr_loss=0.0868]
steps:   3%|▎         | 150/4288 [03:08<1:26:53,  1.26s/it, avr_loss=0.087] 
steps:   4%|▎         | 151/4288 [03:10<1:26:50,  1.26s/it, avr_loss=0.087]
steps:   4%|▎         | 151/4288 [03:10<1:26:50,  1.26s/it, avr_loss=0.0867]
steps:   4%|▎         | 152/4288 [03:11<1:26:49,  1.26s/it, avr_loss=0.0867]
steps:   4%|▎         | 152/4288 [03:11<1:26:49,  1.26s/it, avr_loss=0.0865]
steps:   4%|▎         | 153/4288 [03:12<1:26:44,  1.26s/it, avr_loss=0.0865]
steps:   4%|▎         | 153/4288 [03:12<1:26:44,  1.26s/it, avr_loss=0.0864]
steps:   4%|▎         | 154/4288 [03:13<1:26:43,  1.26s/it, avr_loss=0.0864]
steps:   4%|▎         | 154/4288 [03:13<1:26:43,  1.26s/it, avr_loss=0.0862]
steps:   4%|▎         | 155/4288 [03:15<1:26:44,  1.26s/it, avr_loss=0.0862]
steps:   4%|▎         | 155/4288 [03:15<1:26:44,  1.26s/it, avr_loss=0.0863]
steps:   4%|▎         | 156/4288 [03:16<1:26:40,  1.26s/it, avr_loss=0.0863]
steps:   4%|▎         | 156/4288 [03:16<1:26:40,  1.26s/it, avr_loss=0.0868]
steps:   4%|▎         | 157/4288 [03:17<1:26:41,  1.26s/it, avr_loss=0.0868]
steps:   4%|▎         | 157/4288 [03:17<1:26:41,  1.26s/it, avr_loss=0.0869]
steps:   4%|▎         | 158/4288 [03:18<1:26:39,  1.26s/it, avr_loss=0.0869]
steps:   4%|▎         | 158/4288 [03:18<1:26:40,  1.26s/it, avr_loss=0.0872]
steps:   4%|▎         | 159/4288 [03:20<1:26:38,  1.26s/it, avr_loss=0.0872]
steps:   4%|▎         | 159/4288 [03:20<1:26:38,  1.26s/it, avr_loss=0.0871]
steps:   4%|▎         | 160/4288 [03:21<1:26:39,  1.26s/it, avr_loss=0.0871]
steps:   4%|▎         | 160/4288 [03:21<1:26:39,  1.26s/it, avr_loss=0.087] 
steps:   4%|▍         | 161/4288 [03:22<1:26:38,  1.26s/it, avr_loss=0.087]
steps:   4%|▍         | 161/4288 [03:22<1:26:38,  1.26s/it, avr_loss=0.0868]
steps:   4%|▍         | 162/4288 [03:24<1:26:38,  1.26s/it, avr_loss=0.0868]
steps:   4%|▍         | 162/4288 [03:24<1:26:38,  1.26s/it, avr_loss=0.0869]
steps:   4%|▍         | 163/4288 [03:25<1:26:40,  1.26s/it, avr_loss=0.0869]
steps:   4%|▍         | 163/4288 [03:25<1:26:40,  1.26s/it, avr_loss=0.0867]
steps:   4%|▍         | 164/4288 [03:26<1:26:38,  1.26s/it, avr_loss=0.0867]
steps:   4%|▍         | 164/4288 [03:26<1:26:38,  1.26s/it, avr_loss=0.0868]
steps:   4%|▍         | 165/4288 [03:27<1:26:37,  1.26s/it, avr_loss=0.0868]
steps:   4%|▍         | 165/4288 [03:27<1:26:37,  1.26s/it, avr_loss=0.0866]
steps:   4%|▍         | 166/4288 [03:29<1:26:33,  1.26s/it, avr_loss=0.0866]
steps:   4%|▍         | 166/4288 [03:29<1:26:33,  1.26s/it, avr_loss=0.0864]
steps:   4%|▍         | 167/4288 [03:30<1:26:33,  1.26s/it, avr_loss=0.0864]
steps:   4%|▍         | 167/4288 [03:30<1:26:33,  1.26s/it, avr_loss=0.0864]
steps:   4%|▍         | 168/4288 [03:31<1:26:34,  1.26s/it, avr_loss=0.0864]
steps:   4%|▍         | 168/4288 [03:31<1:26:34,  1.26s/it, avr_loss=0.0864]
steps:   4%|▍         | 169/4288 [03:33<1:26:33,  1.26s/it, avr_loss=0.0864]
steps:   4%|▍         | 169/4288 [03:33<1:26:33,  1.26s/it, avr_loss=0.0864]
steps:   4%|▍         | 170/4288 [03:34<1:26:30,  1.26s/it, avr_loss=0.0864]
steps:   4%|▍         | 170/4288 [03:34<1:26:30,  1.26s/it, avr_loss=0.0862]
steps:   4%|▍         | 171/4288 [03:35<1:26:31,  1.26s/it, avr_loss=0.0862]
steps:   4%|▍         | 171/4288 [03:35<1:26:31,  1.26s/it, avr_loss=0.0862]
steps:   4%|▍         | 172/4288 [03:36<1:26:30,  1.26s/it, avr_loss=0.0862]
steps:   4%|▍         | 172/4288 [03:36<1:26:30,  1.26s/it, avr_loss=0.0861]
steps:   4%|▍         | 173/4288 [03:37<1:26:25,  1.26s/it, avr_loss=0.0861]
steps:   4%|▍         | 173/4288 [03:37<1:26:25,  1.26s/it, avr_loss=0.0862]
steps:   4%|▍         | 174/4288 [03:39<1:26:25,  1.26s/it, avr_loss=0.0862]
steps:   4%|▍         | 174/4288 [03:39<1:26:26,  1.26s/it, avr_loss=0.0864]
steps:   4%|▍         | 175/4288 [03:40<1:26:27,  1.26s/it, avr_loss=0.0864]
steps:   4%|▍         | 175/4288 [03:40<1:26:27,  1.26s/it, avr_loss=0.0865]
steps:   4%|▍         | 176/4288 [03:42<1:26:29,  1.26s/it, avr_loss=0.0865]
steps:   4%|▍         | 176/4288 [03:42<1:26:29,  1.26s/it, avr_loss=0.0866]
steps:   4%|▍         | 177/4288 [03:43<1:26:28,  1.26s/it, avr_loss=0.0866]
steps:   4%|▍         | 177/4288 [03:43<1:26:28,  1.26s/it, avr_loss=0.0865]
steps:   4%|▍         | 178/4288 [03:44<1:26:26,  1.26s/it, avr_loss=0.0865]
steps:   4%|▍         | 178/4288 [03:44<1:26:26,  1.26s/it, avr_loss=0.0866]
steps:   4%|▍         | 179/4288 [03:45<1:26:25,  1.26s/it, avr_loss=0.0866]
steps:   4%|▍         | 179/4288 [03:45<1:26:25,  1.26s/it, avr_loss=0.0866]
steps:   4%|▍         | 180/4288 [03:47<1:26:23,  1.26s/it, avr_loss=0.0866]
steps:   4%|▍         | 180/4288 [03:47<1:26:23,  1.26s/it, avr_loss=0.0869]
steps:   4%|▍         | 181/4288 [03:48<1:26:21,  1.26s/it, avr_loss=0.0869]
steps:   4%|▍         | 181/4288 [03:48<1:26:21,  1.26s/it, avr_loss=0.0868]
steps:   4%|▍         | 182/4288 [03:49<1:26:20,  1.26s/it, avr_loss=0.0868]
steps:   4%|▍         | 182/4288 [03:49<1:26:20,  1.26s/it, avr_loss=0.0872]
steps:   4%|▍         | 183/4288 [03:50<1:26:18,  1.26s/it, avr_loss=0.0872]
steps:   4%|▍         | 183/4288 [03:50<1:26:18,  1.26s/it, avr_loss=0.0872]
steps:   4%|▍         | 184/4288 [03:52<1:26:16,  1.26s/it, avr_loss=0.0872]
steps:   4%|▍         | 184/4288 [03:52<1:26:16,  1.26s/it, avr_loss=0.0875]
steps:   4%|▍         | 185/4288 [03:53<1:26:15,  1.26s/it, avr_loss=0.0875]
steps:   4%|▍         | 185/4288 [03:53<1:26:15,  1.26s/it, avr_loss=0.0897]
steps:   4%|▍         | 186/4288 [03:54<1:26:14,  1.26s/it, avr_loss=0.0897]
steps:   4%|▍         | 186/4288 [03:54<1:26:14,  1.26s/it, avr_loss=0.0898]
steps:   4%|▍         | 187/4288 [03:55<1:26:02,  1.26s/it, avr_loss=0.0898]
steps:   4%|▍         | 187/4288 [03:55<1:26:02,  1.26s/it, avr_loss=0.0896]
steps:   4%|▍         | 188/4288 [03:56<1:26:01,  1.26s/it, avr_loss=0.0896]
steps:   4%|▍         | 188/4288 [03:56<1:26:01,  1.26s/it, avr_loss=0.0894]
steps:   4%|▍         | 189/4288 [03:57<1:26:01,  1.26s/it, avr_loss=0.0894]
steps:   4%|▍         | 189/4288 [03:57<1:26:01,  1.26s/it, avr_loss=0.0894]
steps:   4%|▍         | 190/4288 [03:59<1:25:59,  1.26s/it, avr_loss=0.0894]
steps:   4%|▍         | 190/4288 [03:59<1:26:00,  1.26s/it, avr_loss=0.0893]
steps:   4%|▍         | 191/4288 [04:00<1:25:57,  1.26s/it, avr_loss=0.0893]
steps:   4%|▍         | 191/4288 [04:00<1:25:57,  1.26s/it, avr_loss=0.0891]
steps:   4%|▍         | 192/4288 [04:01<1:25:58,  1.26s/it, avr_loss=0.0891]
steps:   4%|▍         | 192/4288 [04:01<1:25:58,  1.26s/it, avr_loss=0.0891]
steps:   5%|▍         | 193/4288 [04:02<1:25:53,  1.26s/it, avr_loss=0.0891]
steps:   5%|▍         | 193/4288 [04:02<1:25:53,  1.26s/it, avr_loss=0.0893]
steps:   5%|▍         | 194/4288 [04:04<1:25:51,  1.26s/it, avr_loss=0.0893]
steps:   5%|▍         | 194/4288 [04:04<1:25:51,  1.26s/it, avr_loss=0.0894]
steps:   5%|▍         | 195/4288 [04:05<1:25:49,  1.26s/it, avr_loss=0.0894]
steps:   5%|▍         | 195/4288 [04:05<1:25:49,  1.26s/it, avr_loss=0.0892]
steps:   5%|▍         | 196/4288 [04:06<1:25:47,  1.26s/it, avr_loss=0.0892]
steps:   5%|▍         | 196/4288 [04:06<1:25:47,  1.26s/it, avr_loss=0.0893]
steps:   5%|▍         | 197/4288 [04:07<1:25:46,  1.26s/it, avr_loss=0.0893]
steps:   5%|▍         | 197/4288 [04:07<1:25:46,  1.26s/it, avr_loss=0.0892]
steps:   5%|▍         | 198/4288 [04:09<1:25:44,  1.26s/it, avr_loss=0.0892]
steps:   5%|▍         | 198/4288 [04:09<1:25:44,  1.26s/it, avr_loss=0.089] 
steps:   5%|▍         | 199/4288 [04:10<1:25:45,  1.26s/it, avr_loss=0.089]
steps:   5%|▍         | 199/4288 [04:10<1:25:45,  1.26s/it, avr_loss=0.0892]
steps:   5%|▍         | 200/4288 [04:11<1:25:46,  1.26s/it, avr_loss=0.0892]
steps:   5%|▍         | 200/4288 [04:11<1:25:46,  1.26s/it, avr_loss=0.0894]
steps:   5%|▍         | 201/4288 [04:13<1:25:44,  1.26s/it, avr_loss=0.0894]
steps:   5%|▍         | 201/4288 [04:13<1:25:44,  1.26s/it, avr_loss=0.0892]
steps:   5%|▍         | 202/4288 [04:14<1:25:46,  1.26s/it, avr_loss=0.0892]
steps:   5%|▍         | 202/4288 [04:14<1:25:46,  1.26s/it, avr_loss=0.0892]
steps:   5%|▍         | 203/4288 [04:15<1:25:46,  1.26s/it, avr_loss=0.0892]
steps:   5%|▍         | 203/4288 [04:15<1:25:47,  1.26s/it, avr_loss=0.0896]
steps:   5%|▍         | 204/4288 [04:17<1:25:45,  1.26s/it, avr_loss=0.0896]
steps:   5%|▍         | 204/4288 [04:17<1:25:45,  1.26s/it, avr_loss=0.0894]
steps:   5%|▍         | 205/4288 [04:18<1:25:46,  1.26s/it, avr_loss=0.0894]
steps:   5%|▍         | 205/4288 [04:18<1:25:46,  1.26s/it, avr_loss=0.0893]
steps:   5%|▍         | 206/4288 [04:19<1:25:41,  1.26s/it, avr_loss=0.0893]
steps:   5%|▍         | 206/4288 [04:19<1:25:41,  1.26s/it, avr_loss=0.0893]
steps:   5%|▍         | 207/4288 [04:20<1:25:40,  1.26s/it, avr_loss=0.0893]
steps:   5%|▍         | 207/4288 [04:20<1:25:40,  1.26s/it, avr_loss=0.0893]
steps:   5%|▍         | 208/4288 [04:22<1:25:41,  1.26s/it, avr_loss=0.0893]
steps:   5%|▍         | 208/4288 [04:22<1:25:41,  1.26s/it, avr_loss=0.0891]
steps:   5%|▍         | 209/4288 [04:23<1:25:39,  1.26s/it, avr_loss=0.0891]
steps:   5%|▍         | 209/4288 [04:23<1:25:39,  1.26s/it, avr_loss=0.0891]
steps:   5%|▍         | 210/4288 [04:24<1:25:39,  1.26s/it, avr_loss=0.0891]
steps:   5%|▍         | 210/4288 [04:24<1:25:39,  1.26s/it, avr_loss=0.0889]
steps:   5%|▍         | 211/4288 [04:25<1:25:38,  1.26s/it, avr_loss=0.0889]
steps:   5%|▍         | 211/4288 [04:25<1:25:38,  1.26s/it, avr_loss=0.089] 
steps:   5%|▍         | 212/4288 [04:27<1:25:34,  1.26s/it, avr_loss=0.089]
steps:   5%|▍         | 212/4288 [04:27<1:25:34,  1.26s/it, avr_loss=0.09] 
steps:   5%|▍         | 213/4288 [04:28<1:25:32,  1.26s/it, avr_loss=0.09]
steps:   5%|▍         | 213/4288 [04:28<1:25:32,  1.26s/it, avr_loss=0.0898]
steps:   5%|▍         | 214/4288 [04:29<1:25:28,  1.26s/it, avr_loss=0.0898]
steps:   5%|▍         | 214/4288 [04:29<1:25:28,  1.26s/it, avr_loss=0.0895]
steps:   5%|▌         | 215/4288 [04:30<1:25:31,  1.26s/it, avr_loss=0.0895]
steps:   5%|▌         | 215/4288 [04:30<1:25:31,  1.26s/it, avr_loss=0.0893]
steps:   5%|▌         | 216/4288 [04:32<1:25:32,  1.26s/it, avr_loss=0.0893]
steps:   5%|▌         | 216/4288 [04:32<1:25:32,  1.26s/it, avr_loss=0.0896]
steps:   5%|▌         | 217/4288 [04:33<1:25:30,  1.26s/it, avr_loss=0.0896]
steps:   5%|▌         | 217/4288 [04:33<1:25:30,  1.26s/it, avr_loss=0.0896]
steps:   5%|▌         | 218/4288 [04:34<1:25:28,  1.26s/it, avr_loss=0.0896]
steps:   5%|▌         | 218/4288 [04:34<1:25:28,  1.26s/it, avr_loss=0.0894]
steps:   5%|▌         | 219/4288 [04:35<1:25:26,  1.26s/it, avr_loss=0.0894]
steps:   5%|▌         | 219/4288 [04:35<1:25:26,  1.26s/it, avr_loss=0.0894]
steps:   5%|▌         | 220/4288 [04:37<1:25:24,  1.26s/it, avr_loss=0.0894]
steps:   5%|▌         | 220/4288 [04:37<1:25:24,  1.26s/it, avr_loss=0.0893]
steps:   5%|▌         | 221/4288 [04:38<1:25:25,  1.26s/it, avr_loss=0.0893]
steps:   5%|▌         | 221/4288 [04:38<1:25:25,  1.26s/it, avr_loss=0.0894]
steps:   5%|▌         | 222/4288 [04:39<1:25:23,  1.26s/it, avr_loss=0.0894]
steps:   5%|▌         | 222/4288 [04:39<1:25:23,  1.26s/it, avr_loss=0.0892]
steps:   5%|▌         | 223/4288 [04:40<1:25:22,  1.26s/it, avr_loss=0.0892]
steps:   5%|▌         | 223/4288 [04:40<1:25:22,  1.26s/it, avr_loss=0.089] 
steps:   5%|▌         | 224/4288 [04:42<1:25:20,  1.26s/it, avr_loss=0.089]
steps:   5%|▌         | 224/4288 [04:42<1:25:20,  1.26s/it, avr_loss=0.0892]
steps:   5%|▌         | 225/4288 [04:43<1:25:21,  1.26s/it, avr_loss=0.0892]
steps:   5%|▌         | 225/4288 [04:43<1:25:21,  1.26s/it, avr_loss=0.0893]
steps:   5%|▌         | 226/4288 [04:44<1:25:19,  1.26s/it, avr_loss=0.0893]
steps:   5%|▌         | 226/4288 [04:44<1:25:19,  1.26s/it, avr_loss=0.0894]
steps:   5%|▌         | 227/4288 [04:46<1:25:18,  1.26s/it, avr_loss=0.0894]
steps:   5%|▌         | 227/4288 [04:46<1:25:18,  1.26s/it, avr_loss=0.0895]
steps:   5%|▌         | 228/4288 [04:47<1:25:19,  1.26s/it, avr_loss=0.0895]
steps:   5%|▌         | 228/4288 [04:47<1:25:19,  1.26s/it, avr_loss=0.0894]
steps:   5%|▌         | 229/4288 [04:48<1:25:17,  1.26s/it, avr_loss=0.0894]
steps:   5%|▌         | 229/4288 [04:48<1:25:17,  1.26s/it, avr_loss=0.0893]
steps:   5%|▌         | 230/4288 [04:49<1:25:14,  1.26s/it, avr_loss=0.0893]
steps:   5%|▌         | 230/4288 [04:49<1:25:14,  1.26s/it, avr_loss=0.0892]
steps:   5%|▌         | 231/4288 [04:51<1:25:13,  1.26s/it, avr_loss=0.0892]
steps:   5%|▌         | 231/4288 [04:51<1:25:13,  1.26s/it, avr_loss=0.0891]
steps:   5%|▌         | 232/4288 [04:52<1:25:12,  1.26s/it, avr_loss=0.0891]
steps:   5%|▌         | 232/4288 [04:52<1:25:12,  1.26s/it, avr_loss=0.089] 
steps:   5%|▌         | 233/4288 [04:53<1:25:12,  1.26s/it, avr_loss=0.089]
steps:   5%|▌         | 233/4288 [04:53<1:25:12,  1.26s/it, avr_loss=0.0887]
steps:   5%|▌         | 234/4288 [04:55<1:25:12,  1.26s/it, avr_loss=0.0887]
steps:   5%|▌         | 234/4288 [04:55<1:25:12,  1.26s/it, avr_loss=0.0889]
steps:   5%|▌         | 235/4288 [04:56<1:25:12,  1.26s/it, avr_loss=0.0889]
steps:   5%|▌         | 235/4288 [04:56<1:25:12,  1.26s/it, avr_loss=0.0887]
steps:   6%|▌         | 236/4288 [04:57<1:25:11,  1.26s/it, avr_loss=0.0887]
steps:   6%|▌         | 236/4288 [04:57<1:25:11,  1.26s/it, avr_loss=0.0886]
steps:   6%|▌         | 237/4288 [04:59<1:25:11,  1.26s/it, avr_loss=0.0886]
steps:   6%|▌         | 237/4288 [04:59<1:25:11,  1.26s/it, avr_loss=0.0886]
steps:   6%|▌         | 238/4288 [05:00<1:25:10,  1.26s/it, avr_loss=0.0886]
steps:   6%|▌         | 238/4288 [05:00<1:25:10,  1.26s/it, avr_loss=0.0885]
steps:   6%|▌         | 239/4288 [05:01<1:25:10,  1.26s/it, avr_loss=0.0885]
steps:   6%|▌         | 239/4288 [05:01<1:25:10,  1.26s/it, avr_loss=0.0884]
steps:   6%|▌         | 240/4288 [05:02<1:25:10,  1.26s/it, avr_loss=0.0884]
steps:   6%|▌         | 240/4288 [05:03<1:25:10,  1.26s/it, avr_loss=0.0883]
steps:   6%|▌         | 241/4288 [05:04<1:25:09,  1.26s/it, avr_loss=0.0883]
steps:   6%|▌         | 241/4288 [05:04<1:25:09,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 242/4288 [05:05<1:25:07,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 242/4288 [05:05<1:25:07,  1.26s/it, avr_loss=0.0883]
steps:   6%|▌         | 243/4288 [05:06<1:25:08,  1.26s/it, avr_loss=0.0883]
steps:   6%|▌         | 243/4288 [05:06<1:25:08,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 244/4288 [05:07<1:25:04,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 244/4288 [05:07<1:25:04,  1.26s/it, avr_loss=0.0887]
steps:   6%|▌         | 245/4288 [05:09<1:25:02,  1.26s/it, avr_loss=0.0887]
steps:   6%|▌         | 245/4288 [05:09<1:25:02,  1.26s/it, avr_loss=0.0887]
steps:   6%|▌         | 246/4288 [05:10<1:25:01,  1.26s/it, avr_loss=0.0887]
steps:   6%|▌         | 246/4288 [05:10<1:25:01,  1.26s/it, avr_loss=0.0886]
steps:   6%|▌         | 247/4288 [05:11<1:25:01,  1.26s/it, avr_loss=0.0886]
steps:   6%|▌         | 247/4288 [05:11<1:25:01,  1.26s/it, avr_loss=0.0886]
steps:   6%|▌         | 248/4288 [05:13<1:25:00,  1.26s/it, avr_loss=0.0886]
steps:   6%|▌         | 248/4288 [05:13<1:25:00,  1.26s/it, avr_loss=0.0886]
steps:   6%|▌         | 249/4288 [05:14<1:25:00,  1.26s/it, avr_loss=0.0886]
steps:   6%|▌         | 249/4288 [05:14<1:25:00,  1.26s/it, avr_loss=0.0884]
steps:   6%|▌         | 250/4288 [05:15<1:24:58,  1.26s/it, avr_loss=0.0884]
steps:   6%|▌         | 250/4288 [05:15<1:24:58,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 251/4288 [05:16<1:24:57,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 251/4288 [05:16<1:24:57,  1.26s/it, avr_loss=0.0883]
steps:   6%|▌         | 252/4288 [05:18<1:24:55,  1.26s/it, avr_loss=0.0883]
steps:   6%|▌         | 252/4288 [05:18<1:24:55,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 253/4288 [05:19<1:24:53,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 253/4288 [05:19<1:24:53,  1.26s/it, avr_loss=0.0883]
steps:   6%|▌         | 254/4288 [05:20<1:24:56,  1.26s/it, avr_loss=0.0883]
steps:   6%|▌         | 254/4288 [05:20<1:24:56,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 255/4288 [05:22<1:24:55,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 255/4288 [05:22<1:24:55,  1.26s/it, avr_loss=0.0884]
steps:   6%|▌         | 256/4288 [05:23<1:24:54,  1.26s/it, avr_loss=0.0884]
steps:   6%|▌         | 256/4288 [05:23<1:24:55,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 257/4288 [05:24<1:24:53,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 257/4288 [05:24<1:24:53,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 258/4288 [05:25<1:24:51,  1.26s/it, avr_loss=0.0882]
steps:   6%|▌         | 258/4288 [05:25<1:24:51,  1.26s/it, avr_loss=0.088] 
steps:   6%|▌         | 259/4288 [05:27<1:24:49,  1.26s/it, avr_loss=0.088]
steps:   6%|▌         | 259/4288 [05:27<1:24:49,  1.26s/it, avr_loss=0.0879]
steps:   6%|▌         | 260/4288 [05:28<1:24:48,  1.26s/it, avr_loss=0.0879]
steps:   6%|▌         | 260/4288 [05:28<1:24:48,  1.26s/it, avr_loss=0.0879]
steps:   6%|▌         | 261/4288 [05:29<1:24:47,  1.26s/it, avr_loss=0.0879]
steps:   6%|▌         | 261/4288 [05:29<1:24:47,  1.26s/it, avr_loss=0.0878]
steps:   6%|▌         | 262/4288 [05:31<1:24:47,  1.26s/it, avr_loss=0.0878]
steps:   6%|▌         | 262/4288 [05:31<1:24:47,  1.26s/it, avr_loss=0.0877]
steps:   6%|▌         | 263/4288 [05:32<1:24:47,  1.26s/it, avr_loss=0.0877]
steps:   6%|▌         | 263/4288 [05:32<1:24:47,  1.26s/it, avr_loss=0.088] 
steps:   6%|▌         | 264/4288 [05:33<1:24:47,  1.26s/it, avr_loss=0.088]
steps:   6%|▌         | 264/4288 [05:33<1:24:47,  1.26s/it, avr_loss=0.088]
steps:   6%|▌         | 265/4288 [05:35<1:24:47,  1.26s/it, avr_loss=0.088]
steps:   6%|▌         | 265/4288 [05:35<1:24:47,  1.26s/it, avr_loss=0.0878]
steps:   6%|▌         | 266/4288 [05:36<1:24:45,  1.26s/it, avr_loss=0.0878]
steps:   6%|▌         | 266/4288 [05:36<1:24:45,  1.26s/it, avr_loss=0.0879]
steps:   6%|▌         | 267/4288 [05:37<1:24:48,  1.27s/it, avr_loss=0.0879]
steps:   6%|▌         | 267/4288 [05:37<1:24:48,  1.27s/it, avr_loss=0.088] 
steps:   6%|▋         | 268/4288 [05:39<1:24:47,  1.27s/it, avr_loss=0.088]
steps:   6%|▋         | 268/4288 [05:39<1:24:47,  1.27s/it, avr_loss=0.088]2026-07-24 13:41:19 INFO     epoch is incremented. current_epoch: dataset.py:464
                             1, epoch: 2                                        
2026-07-24 13:41:19 INFO     epoch is incremented. current_epoch: dataset.py:464
                             1, epoch: 2                                        

steps:   6%|▋         | 269/4288 [05:40<1:24:48,  1.27s/it, avr_loss=0.088]
steps:   6%|▋         | 269/4288 [05:40<1:24:48,  1.27s/it, avr_loss=0.0878]
steps:   6%|▋         | 270/4288 [05:41<1:24:46,  1.27s/it, avr_loss=0.0878]
steps:   6%|▋         | 270/4288 [05:41<1:24:46,  1.27s/it, avr_loss=0.0877]
steps:   6%|▋         | 271/4288 [05:43<1:24:45,  1.27s/it, avr_loss=0.0877]
steps:   6%|▋         | 271/4288 [05:43<1:24:45,  1.27s/it, avr_loss=0.0876]
steps:   6%|▋         | 272/4288 [05:44<1:24:43,  1.27s/it, avr_loss=0.0876]
steps:   6%|▋         | 272/4288 [05:44<1:24:43,  1.27s/it, avr_loss=0.0876]
steps:   6%|▋         | 273/4288 [05:45<1:24:41,  1.27s/it, avr_loss=0.0876]
steps:   6%|▋         | 273/4288 [05:45<1:24:41,  1.27s/it, avr_loss=0.0875]
steps:   6%|▋         | 274/4288 [05:46<1:24:38,  1.27s/it, avr_loss=0.0875]
steps:   6%|▋         | 274/4288 [05:46<1:24:38,  1.27s/it, avr_loss=0.0878]
steps:   6%|▋         | 275/4288 [05:47<1:24:36,  1.26s/it, avr_loss=0.0878]
steps:   6%|▋         | 275/4288 [05:47<1:24:36,  1.26s/it, avr_loss=0.0876]
steps:   6%|▋         | 276/4288 [05:49<1:24:34,  1.26s/it, avr_loss=0.0876]
steps:   6%|▋         | 276/4288 [05:49<1:24:35,  1.26s/it, avr_loss=0.0876]
steps:   6%|▋         | 277/4288 [05:50<1:24:34,  1.27s/it, avr_loss=0.0876]
steps:   6%|▋         | 277/4288 [05:50<1:24:34,  1.27s/it, avr_loss=0.0876]
steps:   6%|▋         | 278/4288 [05:51<1:24:31,  1.26s/it, avr_loss=0.0876]
steps:   6%|▋         | 278/4288 [05:51<1:24:31,  1.26s/it, avr_loss=0.0875]
steps:   7%|▋         | 279/4288 [05:52<1:24:30,  1.26s/it, avr_loss=0.0875]
steps:   7%|▋         | 279/4288 [05:52<1:24:30,  1.26s/it, avr_loss=0.0885]
steps:   7%|▋         | 280/4288 [05:54<1:24:32,  1.27s/it, avr_loss=0.0885]
steps:   7%|▋         | 280/4288 [05:54<1:24:32,  1.27s/it, avr_loss=0.0884]
steps:   7%|▋         | 281/4288 [05:55<1:24:32,  1.27s/it, avr_loss=0.0884]
steps:   7%|▋         | 281/4288 [05:55<1:24:32,  1.27s/it, avr_loss=0.0886]
steps:   7%|▋         | 282/4288 [05:56<1:24:30,  1.27s/it, avr_loss=0.0886]
steps:   7%|▋         | 282/4288 [05:56<1:24:30,  1.27s/it, avr_loss=0.0893]
steps:   7%|▋         | 283/4288 [05:58<1:24:28,  1.27s/it, avr_loss=0.0893]
steps:   7%|▋         | 283/4288 [05:58<1:24:28,  1.27s/it, avr_loss=0.0891]
steps:   7%|▋         | 284/4288 [05:59<1:24:27,  1.27s/it, avr_loss=0.0891]
steps:   7%|▋         | 284/4288 [05:59<1:24:27,  1.27s/it, avr_loss=0.0891]
steps:   7%|▋         | 285/4288 [06:00<1:24:25,  1.27s/it, avr_loss=0.0891]
steps:   7%|▋         | 285/4288 [06:00<1:24:25,  1.27s/it, avr_loss=0.0892]
steps:   7%|▋         | 286/4288 [06:02<1:24:25,  1.27s/it, avr_loss=0.0892]
steps:   7%|▋         | 286/4288 [06:02<1:24:25,  1.27s/it, avr_loss=0.0894]
steps:   7%|▋         | 287/4288 [06:03<1:24:23,  1.27s/it, avr_loss=0.0894]
steps:   7%|▋         | 287/4288 [06:03<1:24:23,  1.27s/it, avr_loss=0.0896]
steps:   7%|▋         | 288/4288 [06:04<1:24:21,  1.27s/it, avr_loss=0.0896]
steps:   7%|▋         | 288/4288 [06:04<1:24:21,  1.27s/it, avr_loss=0.0896]
steps:   7%|▋         | 289/4288 [06:05<1:24:21,  1.27s/it, avr_loss=0.0896]
steps:   7%|▋         | 289/4288 [06:05<1:24:21,  1.27s/it, avr_loss=0.0885]
steps:   7%|▋         | 290/4288 [06:06<1:24:18,  1.27s/it, avr_loss=0.0885]
steps:   7%|▋         | 290/4288 [06:06<1:24:19,  1.27s/it, avr_loss=0.0887]
steps:   7%|▋         | 291/4288 [06:08<1:24:17,  1.27s/it, avr_loss=0.0887]
steps:   7%|▋         | 291/4288 [06:08<1:24:17,  1.27s/it, avr_loss=0.0884]
steps:   7%|▋         | 292/4288 [06:09<1:24:15,  1.27s/it, avr_loss=0.0884]
steps:   7%|▋         | 292/4288 [06:09<1:24:15,  1.27s/it, avr_loss=0.0884]
steps:   7%|▋         | 293/4288 [06:10<1:24:18,  1.27s/it, avr_loss=0.0884]
steps:   7%|▋         | 293/4288 [06:10<1:24:18,  1.27s/it, avr_loss=0.0884]
steps:   7%|▋         | 294/4288 [06:12<1:24:18,  1.27s/it, avr_loss=0.0884]
steps:   7%|▋         | 294/4288 [06:12<1:24:18,  1.27s/it, avr_loss=0.0883]
steps:   7%|▋         | 295/4288 [06:13<1:24:15,  1.27s/it, avr_loss=0.0883]
steps:   7%|▋         | 295/4288 [06:13<1:24:15,  1.27s/it, avr_loss=0.0882]
steps:   7%|▋         | 296/4288 [06:14<1:24:14,  1.27s/it, avr_loss=0.0882]
steps:   7%|▋         | 296/4288 [06:14<1:24:14,  1.27s/it, avr_loss=0.0879]
steps:   7%|▋         | 297/4288 [06:15<1:24:12,  1.27s/it, avr_loss=0.0879]
steps:   7%|▋         | 297/4288 [06:15<1:24:12,  1.27s/it, avr_loss=0.0881]
steps:   7%|▋         | 298/4288 [06:17<1:24:12,  1.27s/it, avr_loss=0.0881]
steps:   7%|▋         | 298/4288 [06:17<1:24:12,  1.27s/it, avr_loss=0.0879]
steps:   7%|▋         | 299/4288 [06:18<1:24:10,  1.27s/it, avr_loss=0.0879]
steps:   7%|▋         | 299/4288 [06:18<1:24:10,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 300/4288 [06:19<1:24:06,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 300/4288 [06:19<1:24:06,  1.27s/it, avr_loss=0.0879]
steps:   7%|▋         | 301/4288 [06:21<1:24:06,  1.27s/it, avr_loss=0.0879]
steps:   7%|▋         | 301/4288 [06:21<1:24:06,  1.27s/it, avr_loss=0.0878]
steps:   7%|▋         | 302/4288 [06:22<1:24:05,  1.27s/it, avr_loss=0.0878]
steps:   7%|▋         | 302/4288 [06:22<1:24:05,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 303/4288 [06:23<1:24:02,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 303/4288 [06:23<1:24:02,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 304/4288 [06:24<1:24:02,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 304/4288 [06:24<1:24:02,  1.27s/it, avr_loss=0.0876]
steps:   7%|▋         | 305/4288 [06:25<1:24:00,  1.27s/it, avr_loss=0.0876]
steps:   7%|▋         | 305/4288 [06:25<1:24:00,  1.27s/it, avr_loss=0.0876]
steps:   7%|▋         | 306/4288 [06:27<1:24:01,  1.27s/it, avr_loss=0.0876]
steps:   7%|▋         | 306/4288 [06:27<1:24:01,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 307/4288 [06:28<1:23:59,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 307/4288 [06:28<1:23:59,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 308/4288 [06:29<1:23:58,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 308/4288 [06:29<1:23:58,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 309/4288 [06:31<1:23:55,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 309/4288 [06:31<1:23:55,  1.27s/it, avr_loss=0.0878]
steps:   7%|▋         | 310/4288 [06:32<1:23:54,  1.27s/it, avr_loss=0.0878]
steps:   7%|▋         | 310/4288 [06:32<1:23:54,  1.27s/it, avr_loss=0.0878]
steps:   7%|▋         | 311/4288 [06:33<1:23:52,  1.27s/it, avr_loss=0.0878]
steps:   7%|▋         | 311/4288 [06:33<1:23:52,  1.27s/it, avr_loss=0.0876]
steps:   7%|▋         | 312/4288 [06:34<1:23:51,  1.27s/it, avr_loss=0.0876]
steps:   7%|▋         | 312/4288 [06:34<1:23:51,  1.27s/it, avr_loss=0.0878]
steps:   7%|▋         | 313/4288 [06:36<1:23:49,  1.27s/it, avr_loss=0.0878]
steps:   7%|▋         | 313/4288 [06:36<1:23:49,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 314/4288 [06:37<1:23:49,  1.27s/it, avr_loss=0.0877]
steps:   7%|▋         | 314/4288 [06:37<1:23:49,  1.27s/it, avr_loss=0.0871]
steps:   7%|▋         | 315/4288 [06:38<1:23:47,  1.27s/it, avr_loss=0.0871]
steps:   7%|▋         | 315/4288 [06:38<1:23:47,  1.27s/it, avr_loss=0.0867]
steps:   7%|▋         | 316/4288 [06:39<1:23:47,  1.27s/it, avr_loss=0.0867]
steps:   7%|▋         | 316/4288 [06:39<1:23:47,  1.27s/it, avr_loss=0.0868]
steps:   7%|▋         | 317/4288 [06:41<1:23:47,  1.27s/it, avr_loss=0.0868]
steps:   7%|▋         | 317/4288 [06:41<1:23:47,  1.27s/it, avr_loss=0.087] 
steps:   7%|▋         | 318/4288 [06:42<1:23:45,  1.27s/it, avr_loss=0.087]
steps:   7%|▋         | 318/4288 [06:42<1:23:45,  1.27s/it, avr_loss=0.0874]
steps:   7%|▋         | 319/4288 [06:43<1:23:46,  1.27s/it, avr_loss=0.0874]
steps:   7%|▋         | 319/4288 [06:43<1:23:46,  1.27s/it, avr_loss=0.0876]
steps:   7%|▋         | 320/4288 [06:45<1:23:46,  1.27s/it, avr_loss=0.0876]
steps:   7%|▋         | 320/4288 [06:45<1:23:46,  1.27s/it, avr_loss=0.0876]
steps:   7%|▋         | 321/4288 [06:46<1:23:44,  1.27s/it, avr_loss=0.0876]
steps:   7%|▋         | 321/4288 [06:46<1:23:44,  1.27s/it, avr_loss=0.0878]
steps:   8%|▊         | 322/4288 [06:47<1:23:42,  1.27s/it, avr_loss=0.0878]
steps:   8%|▊         | 322/4288 [06:47<1:23:42,  1.27s/it, avr_loss=0.0878]
steps:   8%|▊         | 323/4288 [06:49<1:23:42,  1.27s/it, avr_loss=0.0878]
steps:   8%|▊         | 323/4288 [06:49<1:23:42,  1.27s/it, avr_loss=0.0878]
steps:   8%|▊         | 324/4288 [06:50<1:23:41,  1.27s/it, avr_loss=0.0878]
steps:   8%|▊         | 324/4288 [06:50<1:23:41,  1.27s/it, avr_loss=0.0879]
steps:   8%|▊         | 325/4288 [06:51<1:23:37,  1.27s/it, avr_loss=0.0879]
steps:   8%|▊         | 325/4288 [06:51<1:23:37,  1.27s/it, avr_loss=0.0878]
steps:   8%|▊         | 326/4288 [06:52<1:23:36,  1.27s/it, avr_loss=0.0878]
steps:   8%|▊         | 326/4288 [06:52<1:23:36,  1.27s/it, avr_loss=0.0885]
steps:   8%|▊         | 327/4288 [06:54<1:23:35,  1.27s/it, avr_loss=0.0885]
steps:   8%|▊         | 327/4288 [06:54<1:23:35,  1.27s/it, avr_loss=0.0886]
steps:   8%|▊         | 328/4288 [06:55<1:23:33,  1.27s/it, avr_loss=0.0886]
steps:   8%|▊         | 328/4288 [06:55<1:23:33,  1.27s/it, avr_loss=0.0893]
steps:   8%|▊         | 329/4288 [06:56<1:23:32,  1.27s/it, avr_loss=0.0893]
steps:   8%|▊         | 329/4288 [06:56<1:23:32,  1.27s/it, avr_loss=0.0894]
steps:   8%|▊         | 330/4288 [06:57<1:23:30,  1.27s/it, avr_loss=0.0894]
steps:   8%|▊         | 330/4288 [06:57<1:23:30,  1.27s/it, avr_loss=0.0895]
steps:   8%|▊         | 331/4288 [06:59<1:23:29,  1.27s/it, avr_loss=0.0895]
steps:   8%|▊         | 331/4288 [06:59<1:23:30,  1.27s/it, avr_loss=0.0894]
steps:   8%|▊         | 332/4288 [07:00<1:23:30,  1.27s/it, avr_loss=0.0894]
steps:   8%|▊         | 332/4288 [07:00<1:23:30,  1.27s/it, avr_loss=0.0897]
steps:   8%|▊         | 333/4288 [07:01<1:23:29,  1.27s/it, avr_loss=0.0897]
steps:   8%|▊         | 333/4288 [07:01<1:23:29,  1.27s/it, avr_loss=0.0895]
steps:   8%|▊         | 334/4288 [07:03<1:23:29,  1.27s/it, avr_loss=0.0895]
steps:   8%|▊         | 334/4288 [07:03<1:23:29,  1.27s/it, avr_loss=0.0895]
steps:   8%|▊         | 335/4288 [07:04<1:23:27,  1.27s/it, avr_loss=0.0895]
steps:   8%|▊         | 335/4288 [07:04<1:23:27,  1.27s/it, avr_loss=0.0896]
steps:   8%|▊         | 336/4288 [07:05<1:23:26,  1.27s/it, avr_loss=0.0896]
steps:   8%|▊         | 336/4288 [07:05<1:23:26,  1.27s/it, avr_loss=0.0897]
steps:   8%|▊         | 337/4288 [07:06<1:23:24,  1.27s/it, avr_loss=0.0897]
steps:   8%|▊         | 337/4288 [07:06<1:23:24,  1.27s/it, avr_loss=0.0897]
steps:   8%|▊         | 338/4288 [07:08<1:23:22,  1.27s/it, avr_loss=0.0897]
steps:   8%|▊         | 338/4288 [07:08<1:23:22,  1.27s/it, avr_loss=0.0899]
steps:   8%|▊         | 339/4288 [07:09<1:23:21,  1.27s/it, avr_loss=0.0899]
steps:   8%|▊         | 339/4288 [07:09<1:23:21,  1.27s/it, avr_loss=0.0899]
steps:   8%|▊         | 340/4288 [07:10<1:23:21,  1.27s/it, avr_loss=0.0899]
steps:   8%|▊         | 340/4288 [07:10<1:23:21,  1.27s/it, avr_loss=0.0899]
steps:   8%|▊         | 341/4288 [07:12<1:23:20,  1.27s/it, avr_loss=0.0899]
steps:   8%|▊         | 341/4288 [07:12<1:23:20,  1.27s/it, avr_loss=0.09]  
steps:   8%|▊         | 342/4288 [07:13<1:23:20,  1.27s/it, avr_loss=0.09]
steps:   8%|▊         | 342/4288 [07:13<1:23:20,  1.27s/it, avr_loss=0.09]
steps:   8%|▊         | 343/4288 [07:14<1:23:18,  1.27s/it, avr_loss=0.09]
steps:   8%|▊         | 343/4288 [07:14<1:23:18,  1.27s/it, avr_loss=0.0901]
steps:   8%|▊         | 344/4288 [07:15<1:23:16,  1.27s/it, avr_loss=0.0901]
steps:   8%|▊         | 344/4288 [07:15<1:23:16,  1.27s/it, avr_loss=0.0903]
steps:   8%|▊         | 345/4288 [07:17<1:23:17,  1.27s/it, avr_loss=0.0903]
steps:   8%|▊         | 345/4288 [07:17<1:23:17,  1.27s/it, avr_loss=0.0903]
steps:   8%|▊         | 346/4288 [07:18<1:23:15,  1.27s/it, avr_loss=0.0903]
steps:   8%|▊         | 346/4288 [07:18<1:23:15,  1.27s/it, avr_loss=0.0901]
steps:   8%|▊         | 347/4288 [07:19<1:23:14,  1.27s/it, avr_loss=0.0901]
steps:   8%|▊         | 347/4288 [07:19<1:23:14,  1.27s/it, avr_loss=0.0907]
steps:   8%|▊         | 348/4288 [07:20<1:23:12,  1.27s/it, avr_loss=0.0907]
steps:   8%|▊         | 348/4288 [07:20<1:23:12,  1.27s/it, avr_loss=0.0898]
steps:   8%|▊         | 349/4288 [07:22<1:23:11,  1.27s/it, avr_loss=0.0898]
steps:   8%|▊         | 349/4288 [07:22<1:23:11,  1.27s/it, avr_loss=0.0898]
steps:   8%|▊         | 350/4288 [07:23<1:23:10,  1.27s/it, avr_loss=0.0898]
steps:   8%|▊         | 350/4288 [07:23<1:23:10,  1.27s/it, avr_loss=0.09]  
steps:   8%|▊         | 351/4288 [07:24<1:23:08,  1.27s/it, avr_loss=0.09]
steps:   8%|▊         | 351/4288 [07:24<1:23:08,  1.27s/it, avr_loss=0.0898]
steps:   8%|▊         | 352/4288 [07:26<1:23:07,  1.27s/it, avr_loss=0.0898]
steps:   8%|▊         | 352/4288 [07:26<1:23:07,  1.27s/it, avr_loss=0.0891]
steps:   8%|▊         | 353/4288 [07:27<1:23:06,  1.27s/it, avr_loss=0.0891]
steps:   8%|▊         | 353/4288 [07:27<1:23:06,  1.27s/it, avr_loss=0.089] 
steps:   8%|▊         | 354/4288 [07:28<1:23:05,  1.27s/it, avr_loss=0.089]
steps:   8%|▊         | 354/4288 [07:28<1:23:05,  1.27s/it, avr_loss=0.089]
steps:   8%|▊         | 355/4288 [07:29<1:23:03,  1.27s/it, avr_loss=0.089]
steps:   8%|▊         | 355/4288 [07:29<1:23:03,  1.27s/it, avr_loss=0.0891]
steps:   8%|▊         | 356/4288 [07:31<1:23:03,  1.27s/it, avr_loss=0.0891]
steps:   8%|▊         | 356/4288 [07:31<1:23:03,  1.27s/it, avr_loss=0.0891]
steps:   8%|▊         | 357/4288 [07:32<1:23:01,  1.27s/it, avr_loss=0.0891]
steps:   8%|▊         | 357/4288 [07:32<1:23:02,  1.27s/it, avr_loss=0.0893]
steps:   8%|▊         | 358/4288 [07:33<1:23:00,  1.27s/it, avr_loss=0.0893]
steps:   8%|▊         | 358/4288 [07:33<1:23:00,  1.27s/it, avr_loss=0.0892]
steps:   8%|▊         | 359/4288 [07:35<1:23:00,  1.27s/it, avr_loss=0.0892]
steps:   8%|▊         | 359/4288 [07:35<1:23:00,  1.27s/it, avr_loss=0.0892]
steps:   8%|▊         | 360/4288 [07:36<1:22:57,  1.27s/it, avr_loss=0.0892]
steps:   8%|▊         | 360/4288 [07:36<1:22:57,  1.27s/it, avr_loss=0.0894]
steps:   8%|▊         | 361/4288 [07:37<1:22:57,  1.27s/it, avr_loss=0.0894]
steps:   8%|▊         | 361/4288 [07:37<1:22:57,  1.27s/it, avr_loss=0.0902]
steps:   8%|▊         | 362/4288 [07:38<1:22:55,  1.27s/it, avr_loss=0.0902]
steps:   8%|▊         | 362/4288 [07:38<1:22:55,  1.27s/it, avr_loss=0.0894]
steps:   8%|▊         | 363/4288 [07:40<1:22:54,  1.27s/it, avr_loss=0.0894]
steps:   8%|▊         | 363/4288 [07:40<1:22:54,  1.27s/it, avr_loss=0.0891]
steps:   8%|▊         | 364/4288 [07:41<1:22:52,  1.27s/it, avr_loss=0.0891]
steps:   8%|▊         | 364/4288 [07:41<1:22:52,  1.27s/it, avr_loss=0.0891]
steps:   9%|▊         | 365/4288 [07:42<1:22:51,  1.27s/it, avr_loss=0.0891]
steps:   9%|▊         | 365/4288 [07:42<1:22:51,  1.27s/it, avr_loss=0.0892]
steps:   9%|▊         | 366/4288 [07:43<1:22:50,  1.27s/it, avr_loss=0.0892]
steps:   9%|▊         | 366/4288 [07:43<1:22:50,  1.27s/it, avr_loss=0.0891]
steps:   9%|▊         | 367/4288 [07:45<1:22:49,  1.27s/it, avr_loss=0.0891]
steps:   9%|▊         | 367/4288 [07:45<1:22:49,  1.27s/it, avr_loss=0.089] 
steps:   9%|▊         | 368/4288 [07:46<1:22:49,  1.27s/it, avr_loss=0.089]
steps:   9%|▊         | 368/4288 [07:46<1:22:49,  1.27s/it, avr_loss=0.0889]
steps:   9%|▊         | 369/4288 [07:47<1:22:48,  1.27s/it, avr_loss=0.0889]
steps:   9%|▊         | 369/4288 [07:47<1:22:48,  1.27s/it, avr_loss=0.0889]
steps:   9%|▊         | 370/4288 [07:49<1:22:46,  1.27s/it, avr_loss=0.0889]
steps:   9%|▊         | 370/4288 [07:49<1:22:46,  1.27s/it, avr_loss=0.0891]
steps:   9%|▊         | 371/4288 [07:50<1:22:47,  1.27s/it, avr_loss=0.0891]
steps:   9%|▊         | 371/4288 [07:50<1:22:47,  1.27s/it, avr_loss=0.0885]
steps:   9%|▊         | 372/4288 [07:51<1:22:46,  1.27s/it, avr_loss=0.0885]
steps:   9%|▊         | 372/4288 [07:51<1:22:46,  1.27s/it, avr_loss=0.0886]
steps:   9%|▊         | 373/4288 [07:53<1:22:46,  1.27s/it, avr_loss=0.0886]
steps:   9%|▊         | 373/4288 [07:53<1:22:46,  1.27s/it, avr_loss=0.0882]
steps:   9%|▊         | 374/4288 [07:54<1:22:45,  1.27s/it, avr_loss=0.0882]
steps:   9%|▊         | 374/4288 [07:54<1:22:45,  1.27s/it, avr_loss=0.0881]
steps:   9%|▊         | 375/4288 [07:55<1:22:44,  1.27s/it, avr_loss=0.0881]
steps:   9%|▊         | 375/4288 [07:55<1:22:44,  1.27s/it, avr_loss=0.0881]
steps:   9%|▉         | 376/4288 [07:56<1:22:42,  1.27s/it, avr_loss=0.0881]
steps:   9%|▉         | 376/4288 [07:56<1:22:42,  1.27s/it, avr_loss=0.0883]
steps:   9%|▉         | 377/4288 [07:58<1:22:42,  1.27s/it, avr_loss=0.0883]
steps:   9%|▉         | 377/4288 [07:58<1:22:42,  1.27s/it, avr_loss=0.0882]
steps:   9%|▉         | 378/4288 [07:59<1:22:40,  1.27s/it, avr_loss=0.0882]
steps:   9%|▉         | 378/4288 [07:59<1:22:40,  1.27s/it, avr_loss=0.0882]
steps:   9%|▉         | 379/4288 [08:00<1:22:39,  1.27s/it, avr_loss=0.0882]
steps:   9%|▉         | 379/4288 [08:00<1:22:39,  1.27s/it, avr_loss=0.0883]
steps:   9%|▉         | 380/4288 [08:02<1:22:37,  1.27s/it, avr_loss=0.0883]
steps:   9%|▉         | 380/4288 [08:02<1:22:37,  1.27s/it, avr_loss=0.0883]
steps:   9%|▉         | 381/4288 [08:03<1:22:35,  1.27s/it, avr_loss=0.0883]
steps:   9%|▉         | 381/4288 [08:03<1:22:35,  1.27s/it, avr_loss=0.0882]
steps:   9%|▉         | 382/4288 [08:04<1:22:33,  1.27s/it, avr_loss=0.0882]
steps:   9%|▉         | 382/4288 [08:04<1:22:33,  1.27s/it, avr_loss=0.0886]
steps:   9%|▉         | 383/4288 [08:05<1:22:32,  1.27s/it, avr_loss=0.0886]
steps:   9%|▉         | 383/4288 [08:05<1:22:32,  1.27s/it, avr_loss=0.0882]
steps:   9%|▉         | 384/4288 [08:07<1:22:33,  1.27s/it, avr_loss=0.0882]
steps:   9%|▉         | 384/4288 [08:07<1:22:33,  1.27s/it, avr_loss=0.0887]
steps:   9%|▉         | 385/4288 [08:08<1:22:32,  1.27s/it, avr_loss=0.0887]
steps:   9%|▉         | 385/4288 [08:08<1:22:32,  1.27s/it, avr_loss=0.0887]
steps:   9%|▉         | 386/4288 [08:09<1:22:29,  1.27s/it, avr_loss=0.0887]
steps:   9%|▉         | 386/4288 [08:09<1:22:29,  1.27s/it, avr_loss=0.0885]
steps:   9%|▉         | 387/4288 [08:10<1:22:28,  1.27s/it, avr_loss=0.0885]
steps:   9%|▉         | 387/4288 [08:10<1:22:28,  1.27s/it, avr_loss=0.0881]
steps:   9%|▉         | 388/4288 [08:12<1:22:26,  1.27s/it, avr_loss=0.0881]
steps:   9%|▉         | 388/4288 [08:12<1:22:26,  1.27s/it, avr_loss=0.0881]
steps:   9%|▉         | 389/4288 [08:13<1:22:25,  1.27s/it, avr_loss=0.0881]
steps:   9%|▉         | 389/4288 [08:13<1:22:25,  1.27s/it, avr_loss=0.0879]
steps:   9%|▉         | 390/4288 [08:14<1:22:24,  1.27s/it, avr_loss=0.0879]
steps:   9%|▉         | 390/4288 [08:14<1:22:24,  1.27s/it, avr_loss=0.0877]
steps:   9%|▉         | 391/4288 [08:15<1:22:22,  1.27s/it, avr_loss=0.0877]
steps:   9%|▉         | 391/4288 [08:15<1:22:22,  1.27s/it, avr_loss=0.0878]
steps:   9%|▉         | 392/4288 [08:17<1:22:21,  1.27s/it, avr_loss=0.0878]
steps:   9%|▉         | 392/4288 [08:17<1:22:21,  1.27s/it, avr_loss=0.0882]
steps:   9%|▉         | 393/4288 [08:18<1:22:21,  1.27s/it, avr_loss=0.0882]
steps:   9%|▉         | 393/4288 [08:18<1:22:21,  1.27s/it, avr_loss=0.0881]
steps:   9%|▉         | 394/4288 [08:19<1:22:20,  1.27s/it, avr_loss=0.0881]
steps:   9%|▉         | 394/4288 [08:19<1:22:20,  1.27s/it, avr_loss=0.0881]
steps:   9%|▉         | 395/4288 [08:21<1:22:19,  1.27s/it, avr_loss=0.0881]
steps:   9%|▉         | 395/4288 [08:21<1:22:19,  1.27s/it, avr_loss=0.089] 
steps:   9%|▉         | 396/4288 [08:22<1:22:17,  1.27s/it, avr_loss=0.089]
steps:   9%|▉         | 396/4288 [08:22<1:22:17,  1.27s/it, avr_loss=0.089]
steps:   9%|▉         | 397/4288 [08:23<1:22:18,  1.27s/it, avr_loss=0.089]
steps:   9%|▉         | 397/4288 [08:23<1:22:18,  1.27s/it, avr_loss=0.0889]
steps:   9%|▉         | 398/4288 [08:25<1:22:17,  1.27s/it, avr_loss=0.0889]
steps:   9%|▉         | 398/4288 [08:25<1:22:17,  1.27s/it, avr_loss=0.089] 
steps:   9%|▉         | 399/4288 [08:26<1:22:16,  1.27s/it, avr_loss=0.089]
steps:   9%|▉         | 399/4288 [08:26<1:22:16,  1.27s/it, avr_loss=0.089]
steps:   9%|▉         | 400/4288 [08:27<1:22:15,  1.27s/it, avr_loss=0.089]
steps:   9%|▉         | 400/4288 [08:27<1:22:15,  1.27s/it, avr_loss=0.0896]
steps:   9%|▉         | 401/4288 [08:28<1:22:12,  1.27s/it, avr_loss=0.0896]
steps:   9%|▉         | 401/4288 [08:28<1:22:12,  1.27s/it, avr_loss=0.0896]
steps:   9%|▉         | 402/4288 [08:30<1:22:10,  1.27s/it, avr_loss=0.0896]
steps:   9%|▉         | 402/4288 [08:30<1:22:10,  1.27s/it, avr_loss=0.0895]
steps:   9%|▉         | 403/4288 [08:31<1:22:08,  1.27s/it, avr_loss=0.0895]
steps:   9%|▉         | 403/4288 [08:31<1:22:08,  1.27s/it, avr_loss=0.0897]
steps:   9%|▉         | 404/4288 [08:32<1:22:06,  1.27s/it, avr_loss=0.0897]
steps:   9%|▉         | 404/4288 [08:32<1:22:06,  1.27s/it, avr_loss=0.0903]
steps:   9%|▉         | 405/4288 [08:33<1:22:05,  1.27s/it, avr_loss=0.0903]
steps:   9%|▉         | 405/4288 [08:33<1:22:05,  1.27s/it, avr_loss=0.0901]
steps:   9%|▉         | 406/4288 [08:34<1:22:03,  1.27s/it, avr_loss=0.0901]
steps:   9%|▉         | 406/4288 [08:34<1:22:03,  1.27s/it, avr_loss=0.0902]
steps:   9%|▉         | 407/4288 [08:36<1:22:01,  1.27s/it, avr_loss=0.0902]
steps:   9%|▉         | 407/4288 [08:36<1:22:01,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 408/4288 [08:37<1:22:00,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 408/4288 [08:37<1:22:00,  1.27s/it, avr_loss=0.09]  
steps:  10%|▉         | 409/4288 [08:38<1:21:58,  1.27s/it, avr_loss=0.09]
steps:  10%|▉         | 409/4288 [08:38<1:21:58,  1.27s/it, avr_loss=0.0899]
steps:  10%|▉         | 410/4288 [08:40<1:22:00,  1.27s/it, avr_loss=0.0899]
steps:  10%|▉         | 410/4288 [08:40<1:22:00,  1.27s/it, avr_loss=0.0899]
steps:  10%|▉         | 411/4288 [08:41<1:21:59,  1.27s/it, avr_loss=0.0899]
steps:  10%|▉         | 411/4288 [08:41<1:21:59,  1.27s/it, avr_loss=0.0899]
steps:  10%|▉         | 412/4288 [08:42<1:21:58,  1.27s/it, avr_loss=0.0899]
steps:  10%|▉         | 412/4288 [08:42<1:21:58,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 413/4288 [08:44<1:21:58,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 413/4288 [08:44<1:21:58,  1.27s/it, avr_loss=0.0905]
steps:  10%|▉         | 414/4288 [08:45<1:21:57,  1.27s/it, avr_loss=0.0905]
steps:  10%|▉         | 414/4288 [08:45<1:21:57,  1.27s/it, avr_loss=0.09]  
steps:  10%|▉         | 415/4288 [08:46<1:21:56,  1.27s/it, avr_loss=0.09]
steps:  10%|▉         | 415/4288 [08:46<1:21:56,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 416/4288 [08:48<1:21:55,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 416/4288 [08:48<1:21:55,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 417/4288 [08:49<1:21:54,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 417/4288 [08:49<1:21:54,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 418/4288 [08:50<1:21:54,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 418/4288 [08:50<1:21:54,  1.27s/it, avr_loss=0.09]  
steps:  10%|▉         | 419/4288 [08:52<1:21:53,  1.27s/it, avr_loss=0.09]
steps:  10%|▉         | 419/4288 [08:52<1:21:53,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 420/4288 [08:53<1:21:52,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 420/4288 [08:53<1:21:52,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 421/4288 [08:54<1:21:50,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 421/4288 [08:54<1:21:50,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 422/4288 [08:55<1:21:50,  1.27s/it, avr_loss=0.0901]
steps:  10%|▉         | 422/4288 [08:55<1:21:50,  1.27s/it, avr_loss=0.09]  
steps:  10%|▉         | 423/4288 [08:57<1:21:50,  1.27s/it, avr_loss=0.09]
steps:  10%|▉         | 423/4288 [08:57<1:21:50,  1.27s/it, avr_loss=0.09]
steps:  10%|▉         | 424/4288 [08:58<1:21:48,  1.27s/it, avr_loss=0.09]
steps:  10%|▉         | 424/4288 [08:58<1:21:48,  1.27s/it, avr_loss=0.0898]
steps:  10%|▉         | 425/4288 [08:59<1:21:47,  1.27s/it, avr_loss=0.0898]
steps:  10%|▉         | 425/4288 [08:59<1:21:47,  1.27s/it, avr_loss=0.0896]
steps:  10%|▉         | 426/4288 [09:01<1:21:45,  1.27s/it, avr_loss=0.0896]
steps:  10%|▉         | 426/4288 [09:01<1:21:45,  1.27s/it, avr_loss=0.0893]
steps:  10%|▉         | 427/4288 [09:02<1:21:45,  1.27s/it, avr_loss=0.0893]
steps:  10%|▉         | 427/4288 [09:02<1:21:45,  1.27s/it, avr_loss=0.0894]
steps:  10%|▉         | 428/4288 [09:03<1:21:43,  1.27s/it, avr_loss=0.0894]
steps:  10%|▉         | 428/4288 [09:03<1:21:43,  1.27s/it, avr_loss=0.0897]
steps:  10%|█         | 429/4288 [09:05<1:21:43,  1.27s/it, avr_loss=0.0897]
steps:  10%|█         | 429/4288 [09:05<1:21:43,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 430/4288 [09:06<1:21:42,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 430/4288 [09:06<1:21:42,  1.27s/it, avr_loss=0.0894]
steps:  10%|█         | 431/4288 [09:07<1:21:42,  1.27s/it, avr_loss=0.0894]
steps:  10%|█         | 431/4288 [09:07<1:21:42,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 432/4288 [09:09<1:21:40,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 432/4288 [09:09<1:21:40,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 433/4288 [09:10<1:21:39,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 433/4288 [09:10<1:21:39,  1.27s/it, avr_loss=0.0897]
steps:  10%|█         | 434/4288 [09:11<1:21:38,  1.27s/it, avr_loss=0.0897]
steps:  10%|█         | 434/4288 [09:11<1:21:38,  1.27s/it, avr_loss=0.0897]
steps:  10%|█         | 435/4288 [09:12<1:21:37,  1.27s/it, avr_loss=0.0897]
steps:  10%|█         | 435/4288 [09:12<1:21:37,  1.27s/it, avr_loss=0.0897]
steps:  10%|█         | 436/4288 [09:14<1:21:36,  1.27s/it, avr_loss=0.0897]
steps:  10%|█         | 436/4288 [09:14<1:21:36,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 437/4288 [09:15<1:21:35,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 437/4288 [09:15<1:21:35,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 438/4288 [09:16<1:21:33,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 438/4288 [09:16<1:21:33,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 439/4288 [09:17<1:21:31,  1.27s/it, avr_loss=0.0896]
steps:  10%|█         | 439/4288 [09:17<1:21:31,  1.27s/it, avr_loss=0.0898]
steps:  10%|█         | 440/4288 [09:19<1:21:29,  1.27s/it, avr_loss=0.0898]
steps:  10%|█         | 440/4288 [09:19<1:21:29,  1.27s/it, avr_loss=0.09]  
steps:  10%|█         | 441/4288 [09:20<1:21:28,  1.27s/it, avr_loss=0.09]
steps:  10%|█         | 441/4288 [09:20<1:21:28,  1.27s/it, avr_loss=0.0899]
steps:  10%|█         | 442/4288 [09:21<1:21:26,  1.27s/it, avr_loss=0.0899]
steps:  10%|█         | 442/4288 [09:21<1:21:26,  1.27s/it, avr_loss=0.0897]
steps:  10%|█         | 443/4288 [09:22<1:21:25,  1.27s/it, avr_loss=0.0897]
steps:  10%|█         | 443/4288 [09:22<1:21:25,  1.27s/it, avr_loss=0.0895]
steps:  10%|█         | 444/4288 [09:24<1:21:24,  1.27s/it, avr_loss=0.0895]
steps:  10%|█         | 444/4288 [09:24<1:21:24,  1.27s/it, avr_loss=0.0893]
steps:  10%|█         | 445/4288 [09:25<1:21:23,  1.27s/it, avr_loss=0.0893]
steps:  10%|█         | 445/4288 [09:25<1:21:23,  1.27s/it, avr_loss=0.0892]
steps:  10%|█         | 446/4288 [09:26<1:21:22,  1.27s/it, avr_loss=0.0892]
steps:  10%|█         | 446/4288 [09:26<1:21:22,  1.27s/it, avr_loss=0.0892]
steps:  10%|█         | 447/4288 [09:28<1:21:21,  1.27s/it, avr_loss=0.0892]
steps:  10%|█         | 447/4288 [09:28<1:21:21,  1.27s/it, avr_loss=0.0891]
steps:  10%|█         | 448/4288 [09:29<1:21:19,  1.27s/it, avr_loss=0.0891]
steps:  10%|█         | 448/4288 [09:29<1:21:19,  1.27s/it, avr_loss=0.0888]
steps:  10%|█         | 449/4288 [09:30<1:21:20,  1.27s/it, avr_loss=0.0888]
steps:  10%|█         | 449/4288 [09:30<1:21:20,  1.27s/it, avr_loss=0.0889]
steps:  10%|█         | 450/4288 [09:31<1:21:18,  1.27s/it, avr_loss=0.0889]
steps:  10%|█         | 450/4288 [09:31<1:21:18,  1.27s/it, avr_loss=0.0885]
steps:  11%|█         | 451/4288 [09:33<1:21:15,  1.27s/it, avr_loss=0.0885]
steps:  11%|█         | 451/4288 [09:33<1:21:15,  1.27s/it, avr_loss=0.0892]
steps:  11%|█         | 452/4288 [09:34<1:21:14,  1.27s/it, avr_loss=0.0892]
steps:  11%|█         | 452/4288 [09:34<1:21:14,  1.27s/it, avr_loss=0.0892]
steps:  11%|█         | 453/4288 [09:35<1:21:13,  1.27s/it, avr_loss=0.0892]
steps:  11%|█         | 453/4288 [09:35<1:21:13,  1.27s/it, avr_loss=0.0878]
steps:  11%|█         | 454/4288 [09:36<1:21:12,  1.27s/it, avr_loss=0.0878]
steps:  11%|█         | 454/4288 [09:36<1:21:12,  1.27s/it, avr_loss=0.0879]
steps:  11%|█         | 455/4288 [09:38<1:21:10,  1.27s/it, avr_loss=0.0879]
steps:  11%|█         | 455/4288 [09:38<1:21:10,  1.27s/it, avr_loss=0.0881]
steps:  11%|█         | 456/4288 [09:39<1:21:10,  1.27s/it, avr_loss=0.0881]
steps:  11%|█         | 456/4288 [09:39<1:21:10,  1.27s/it, avr_loss=0.0882]
steps:  11%|█         | 457/4288 [09:40<1:21:08,  1.27s/it, avr_loss=0.0882]
steps:  11%|█         | 457/4288 [09:40<1:21:08,  1.27s/it, avr_loss=0.0883]
steps:  11%|█         | 458/4288 [09:42<1:21:08,  1.27s/it, avr_loss=0.0883]
steps:  11%|█         | 458/4288 [09:42<1:21:08,  1.27s/it, avr_loss=0.0883]
steps:  11%|█         | 459/4288 [09:43<1:21:06,  1.27s/it, avr_loss=0.0883]
steps:  11%|█         | 459/4288 [09:43<1:21:06,  1.27s/it, avr_loss=0.0884]
steps:  11%|█         | 460/4288 [09:44<1:21:05,  1.27s/it, avr_loss=0.0884]
steps:  11%|█         | 460/4288 [09:44<1:21:05,  1.27s/it, avr_loss=0.0884]
steps:  11%|█         | 461/4288 [09:46<1:21:04,  1.27s/it, avr_loss=0.0884]
steps:  11%|█         | 461/4288 [09:46<1:21:04,  1.27s/it, avr_loss=0.0882]
steps:  11%|█         | 462/4288 [09:47<1:21:04,  1.27s/it, avr_loss=0.0882]
steps:  11%|█         | 462/4288 [09:47<1:21:04,  1.27s/it, avr_loss=0.0881]
steps:  11%|█         | 463/4288 [09:48<1:21:02,  1.27s/it, avr_loss=0.0881]
steps:  11%|█         | 463/4288 [09:48<1:21:02,  1.27s/it, avr_loss=0.0881]
steps:  11%|█         | 464/4288 [09:49<1:21:01,  1.27s/it, avr_loss=0.0881]
steps:  11%|█         | 464/4288 [09:49<1:21:01,  1.27s/it, avr_loss=0.0879]
steps:  11%|█         | 465/4288 [09:51<1:21:00,  1.27s/it, avr_loss=0.0879]
steps:  11%|█         | 465/4288 [09:51<1:21:00,  1.27s/it, avr_loss=0.0879]
steps:  11%|█         | 466/4288 [09:52<1:20:58,  1.27s/it, avr_loss=0.0879]
steps:  11%|█         | 466/4288 [09:52<1:20:58,  1.27s/it, avr_loss=0.0879]
steps:  11%|█         | 467/4288 [09:53<1:20:58,  1.27s/it, avr_loss=0.0879]
steps:  11%|█         | 467/4288 [09:53<1:20:58,  1.27s/it, avr_loss=0.0878]
steps:  11%|█         | 468/4288 [09:55<1:20:56,  1.27s/it, avr_loss=0.0878]
steps:  11%|█         | 468/4288 [09:55<1:20:56,  1.27s/it, avr_loss=0.0876]
steps:  11%|█         | 469/4288 [09:56<1:20:56,  1.27s/it, avr_loss=0.0876]
steps:  11%|█         | 469/4288 [09:56<1:20:56,  1.27s/it, avr_loss=0.0875]
steps:  11%|█         | 470/4288 [09:57<1:20:54,  1.27s/it, avr_loss=0.0875]
steps:  11%|█         | 470/4288 [09:57<1:20:54,  1.27s/it, avr_loss=0.0875]
steps:  11%|█         | 471/4288 [09:58<1:20:52,  1.27s/it, avr_loss=0.0875]
steps:  11%|█         | 471/4288 [09:58<1:20:52,  1.27s/it, avr_loss=0.0872]
steps:  11%|█         | 472/4288 [10:00<1:20:51,  1.27s/it, avr_loss=0.0872]
steps:  11%|█         | 472/4288 [10:00<1:20:51,  1.27s/it, avr_loss=0.0871]
steps:  11%|█         | 473/4288 [10:01<1:20:50,  1.27s/it, avr_loss=0.0871]
steps:  11%|█         | 473/4288 [10:01<1:20:50,  1.27s/it, avr_loss=0.0872]
steps:  11%|█         | 474/4288 [10:02<1:20:48,  1.27s/it, avr_loss=0.0872]
steps:  11%|█         | 474/4288 [10:02<1:20:48,  1.27s/it, avr_loss=0.0872]
steps:  11%|█         | 475/4288 [10:03<1:20:48,  1.27s/it, avr_loss=0.0872]
steps:  11%|█         | 475/4288 [10:03<1:20:48,  1.27s/it, avr_loss=0.0871]
steps:  11%|█         | 476/4288 [10:05<1:20:47,  1.27s/it, avr_loss=0.0871]
steps:  11%|█         | 476/4288 [10:05<1:20:47,  1.27s/it, avr_loss=0.0875]
steps:  11%|█         | 477/4288 [10:06<1:20:45,  1.27s/it, avr_loss=0.0875]
steps:  11%|█         | 477/4288 [10:06<1:20:45,  1.27s/it, avr_loss=0.0877]
steps:  11%|█         | 478/4288 [10:07<1:20:43,  1.27s/it, avr_loss=0.0877]
steps:  11%|█         | 478/4288 [10:07<1:20:43,  1.27s/it, avr_loss=0.0876]
steps:  11%|█         | 479/4288 [10:08<1:20:42,  1.27s/it, avr_loss=0.0876]
steps:  11%|█         | 479/4288 [10:08<1:20:42,  1.27s/it, avr_loss=0.0878]
steps:  11%|█         | 480/4288 [10:10<1:20:41,  1.27s/it, avr_loss=0.0878]
steps:  11%|█         | 480/4288 [10:10<1:20:41,  1.27s/it, avr_loss=0.087] 
steps:  11%|█         | 481/4288 [10:11<1:20:38,  1.27s/it, avr_loss=0.087]
steps:  11%|█         | 481/4288 [10:11<1:20:38,  1.27s/it, avr_loss=0.0871]
steps:  11%|█         | 482/4288 [10:12<1:20:37,  1.27s/it, avr_loss=0.0871]
steps:  11%|█         | 482/4288 [10:12<1:20:37,  1.27s/it, avr_loss=0.0873]
steps:  11%|█▏        | 483/4288 [10:13<1:20:35,  1.27s/it, avr_loss=0.0873]
steps:  11%|█▏        | 483/4288 [10:13<1:20:35,  1.27s/it, avr_loss=0.0875]
steps:  11%|█▏        | 484/4288 [10:15<1:20:34,  1.27s/it, avr_loss=0.0875]
steps:  11%|█▏        | 484/4288 [10:15<1:20:34,  1.27s/it, avr_loss=0.0873]
steps:  11%|█▏        | 485/4288 [10:16<1:20:32,  1.27s/it, avr_loss=0.0873]
steps:  11%|█▏        | 485/4288 [10:16<1:20:32,  1.27s/it, avr_loss=0.0871]
steps:  11%|█▏        | 486/4288 [10:17<1:20:31,  1.27s/it, avr_loss=0.0871]
steps:  11%|█▏        | 486/4288 [10:17<1:20:31,  1.27s/it, avr_loss=0.0872]
steps:  11%|█▏        | 487/4288 [10:18<1:20:30,  1.27s/it, avr_loss=0.0872]
steps:  11%|█▏        | 487/4288 [10:18<1:20:30,  1.27s/it, avr_loss=0.087] 
steps:  11%|█▏        | 488/4288 [10:20<1:20:29,  1.27s/it, avr_loss=0.087]
steps:  11%|█▏        | 488/4288 [10:20<1:20:29,  1.27s/it, avr_loss=0.0869]
steps:  11%|█▏        | 489/4288 [10:21<1:20:29,  1.27s/it, avr_loss=0.0869]
steps:  11%|█▏        | 489/4288 [10:21<1:20:29,  1.27s/it, avr_loss=0.087] 
steps:  11%|█▏        | 490/4288 [10:22<1:20:27,  1.27s/it, avr_loss=0.087]
steps:  11%|█▏        | 490/4288 [10:22<1:20:27,  1.27s/it, avr_loss=0.0871]
steps:  11%|█▏        | 491/4288 [10:24<1:20:26,  1.27s/it, avr_loss=0.0871]
steps:  11%|█▏        | 491/4288 [10:24<1:20:26,  1.27s/it, avr_loss=0.0871]
steps:  11%|█▏        | 492/4288 [10:25<1:20:24,  1.27s/it, avr_loss=0.0871]
steps:  11%|█▏        | 492/4288 [10:25<1:20:24,  1.27s/it, avr_loss=0.0868]
steps:  11%|█▏        | 493/4288 [10:26<1:20:24,  1.27s/it, avr_loss=0.0868]
steps:  11%|█▏        | 493/4288 [10:26<1:20:24,  1.27s/it, avr_loss=0.0869]
steps:  12%|█▏        | 494/4288 [10:27<1:20:23,  1.27s/it, avr_loss=0.0869]
steps:  12%|█▏        | 494/4288 [10:27<1:20:23,  1.27s/it, avr_loss=0.0867]
steps:  12%|█▏        | 495/4288 [10:29<1:20:22,  1.27s/it, avr_loss=0.0867]
steps:  12%|█▏        | 495/4288 [10:29<1:20:22,  1.27s/it, avr_loss=0.0865]
steps:  12%|█▏        | 496/4288 [10:30<1:20:21,  1.27s/it, avr_loss=0.0865]
steps:  12%|█▏        | 496/4288 [10:30<1:20:21,  1.27s/it, avr_loss=0.0865]
steps:  12%|█▏        | 497/4288 [10:31<1:20:20,  1.27s/it, avr_loss=0.0865]
steps:  12%|█▏        | 497/4288 [10:31<1:20:20,  1.27s/it, avr_loss=0.0869]
steps:  12%|█▏        | 498/4288 [10:33<1:20:19,  1.27s/it, avr_loss=0.0869]
steps:  12%|█▏        | 498/4288 [10:33<1:20:19,  1.27s/it, avr_loss=0.087] 
steps:  12%|█▏        | 499/4288 [10:34<1:20:18,  1.27s/it, avr_loss=0.087]
steps:  12%|█▏        | 499/4288 [10:34<1:20:18,  1.27s/it, avr_loss=0.087]
steps:  12%|█▏        | 500/4288 [10:35<1:20:15,  1.27s/it, avr_loss=0.087]
steps:  12%|█▏        | 500/4288 [10:35<1:20:15,  1.27s/it, avr_loss=0.0869]
steps:  12%|█▏        | 501/4288 [10:37<1:20:15,  1.27s/it, avr_loss=0.0869]
steps:  12%|█▏        | 501/4288 [10:37<1:20:15,  1.27s/it, avr_loss=0.0872]
steps:  12%|█▏        | 502/4288 [10:38<1:20:14,  1.27s/it, avr_loss=0.0872]
steps:  12%|█▏        | 502/4288 [10:38<1:20:14,  1.27s/it, avr_loss=0.087] 
steps:  12%|█▏        | 503/4288 [10:39<1:20:12,  1.27s/it, avr_loss=0.087]
steps:  12%|█▏        | 503/4288 [10:39<1:20:12,  1.27s/it, avr_loss=0.0871]
steps:  12%|█▏        | 504/4288 [10:40<1:20:10,  1.27s/it, avr_loss=0.0871]
steps:  12%|█▏        | 504/4288 [10:40<1:20:10,  1.27s/it, avr_loss=0.087] 
steps:  12%|█▏        | 505/4288 [10:42<1:20:09,  1.27s/it, avr_loss=0.087]
steps:  12%|█▏        | 505/4288 [10:42<1:20:09,  1.27s/it, avr_loss=0.0869]
steps:  12%|█▏        | 506/4288 [10:43<1:20:08,  1.27s/it, avr_loss=0.0869]
steps:  12%|█▏        | 506/4288 [10:43<1:20:08,  1.27s/it, avr_loss=0.0868]
steps:  12%|█▏        | 507/4288 [10:44<1:20:07,  1.27s/it, avr_loss=0.0868]
steps:  12%|█▏        | 507/4288 [10:44<1:20:07,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 508/4288 [10:45<1:20:02,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 508/4288 [10:45<1:20:02,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 509/4288 [10:46<1:20:01,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 509/4288 [10:46<1:20:01,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 510/4288 [10:48<1:20:00,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 510/4288 [10:48<1:20:00,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 511/4288 [10:49<1:19:59,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 511/4288 [10:49<1:19:59,  1.27s/it, avr_loss=0.0879]
steps:  12%|█▏        | 512/4288 [10:50<1:19:58,  1.27s/it, avr_loss=0.0879]
steps:  12%|█▏        | 512/4288 [10:50<1:19:58,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 513/4288 [10:51<1:19:57,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 513/4288 [10:51<1:19:57,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 514/4288 [10:53<1:19:57,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 514/4288 [10:53<1:19:57,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 515/4288 [10:54<1:19:56,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 515/4288 [10:54<1:19:56,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 516/4288 [10:55<1:19:54,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 516/4288 [10:55<1:19:54,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 517/4288 [10:57<1:19:52,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 517/4288 [10:57<1:19:52,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 518/4288 [10:58<1:19:50,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 518/4288 [10:58<1:19:50,  1.27s/it, avr_loss=0.0878]
steps:  12%|█▏        | 519/4288 [10:59<1:19:49,  1.27s/it, avr_loss=0.0878]
steps:  12%|█▏        | 519/4288 [10:59<1:19:49,  1.27s/it, avr_loss=0.0876]
steps:  12%|█▏        | 520/4288 [11:00<1:19:47,  1.27s/it, avr_loss=0.0876]
steps:  12%|█▏        | 520/4288 [11:00<1:19:47,  1.27s/it, avr_loss=0.0876]
steps:  12%|█▏        | 521/4288 [11:01<1:19:45,  1.27s/it, avr_loss=0.0876]
steps:  12%|█▏        | 521/4288 [11:01<1:19:45,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 522/4288 [11:03<1:19:44,  1.27s/it, avr_loss=0.0875]
steps:  12%|█▏        | 522/4288 [11:03<1:19:44,  1.27s/it, avr_loss=0.0876]
steps:  12%|█▏        | 523/4288 [11:04<1:19:42,  1.27s/it, avr_loss=0.0876]
steps:  12%|█▏        | 523/4288 [11:04<1:19:42,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 524/4288 [11:05<1:19:41,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 524/4288 [11:05<1:19:41,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 525/4288 [11:07<1:19:40,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 525/4288 [11:07<1:19:40,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 526/4288 [11:08<1:19:39,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 526/4288 [11:08<1:19:39,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 527/4288 [11:09<1:19:39,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 527/4288 [11:09<1:19:39,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 528/4288 [11:10<1:19:37,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 528/4288 [11:10<1:19:37,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 529/4288 [11:12<1:19:37,  1.27s/it, avr_loss=0.0874]
steps:  12%|█▏        | 529/4288 [11:12<1:19:37,  1.27s/it, avr_loss=0.0872]
steps:  12%|█▏        | 530/4288 [11:13<1:19:35,  1.27s/it, avr_loss=0.0872]
steps:  12%|█▏        | 530/4288 [11:13<1:19:35,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 531/4288 [11:14<1:19:33,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 531/4288 [11:14<1:19:33,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 532/4288 [11:15<1:19:31,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 532/4288 [11:15<1:19:31,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 533/4288 [11:17<1:19:30,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 533/4288 [11:17<1:19:30,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 534/4288 [11:18<1:19:28,  1.27s/it, avr_loss=0.0873]
steps:  12%|█▏        | 534/4288 [11:18<1:19:28,  1.27s/it, avr_loss=0.0871]
steps:  12%|█▏        | 535/4288 [11:19<1:19:28,  1.27s/it, avr_loss=0.0871]
steps:  12%|█▏        | 535/4288 [11:19<1:19:28,  1.27s/it, avr_loss=0.0869]
steps:  12%|█▎        | 536/4288 [11:20<1:19:25,  1.27s/it, avr_loss=0.0869]
steps:  12%|█▎        | 536/4288 [11:20<1:19:25,  1.27s/it, avr_loss=0.0869]2026-07-24 13:47:01 INFO     epoch is incremented. current_epoch: dataset.py:464
                             2, epoch: 3                                        
2026-07-24 13:47:01 INFO     epoch is incremented. current_epoch: dataset.py:464
                             2, epoch: 3                                        

steps:  13%|█▎        | 537/4288 [11:22<1:19:24,  1.27s/it, avr_loss=0.0869]
steps:  13%|█▎        | 537/4288 [11:22<1:19:24,  1.27s/it, avr_loss=0.087] 
steps:  13%|█▎        | 538/4288 [11:23<1:19:23,  1.27s/it, avr_loss=0.087]
steps:  13%|█▎        | 538/4288 [11:23<1:19:23,  1.27s/it, avr_loss=0.0869]
steps:  13%|█▎        | 539/4288 [11:24<1:19:23,  1.27s/it, avr_loss=0.0869]
steps:  13%|█▎        | 539/4288 [11:24<1:19:23,  1.27s/it, avr_loss=0.0868]
steps:  13%|█▎        | 540/4288 [11:26<1:19:21,  1.27s/it, avr_loss=0.0868]
steps:  13%|█▎        | 540/4288 [11:26<1:19:21,  1.27s/it, avr_loss=0.0868]
steps:  13%|█▎        | 541/4288 [11:27<1:19:19,  1.27s/it, avr_loss=0.0868]
steps:  13%|█▎        | 541/4288 [11:27<1:19:19,  1.27s/it, avr_loss=0.0872]
steps:  13%|█▎        | 542/4288 [11:28<1:19:18,  1.27s/it, avr_loss=0.0872]
steps:  13%|█▎        | 542/4288 [11:28<1:19:18,  1.27s/it, avr_loss=0.0874]
steps:  13%|█▎        | 543/4288 [11:29<1:19:16,  1.27s/it, avr_loss=0.0874]
steps:  13%|█▎        | 543/4288 [11:29<1:19:16,  1.27s/it, avr_loss=0.0875]
steps:  13%|█▎        | 544/4288 [11:30<1:19:14,  1.27s/it, avr_loss=0.0875]
steps:  13%|█▎        | 544/4288 [11:30<1:19:14,  1.27s/it, avr_loss=0.0875]
steps:  13%|█▎        | 545/4288 [11:31<1:19:12,  1.27s/it, avr_loss=0.0875]
steps:  13%|█▎        | 545/4288 [11:31<1:19:12,  1.27s/it, avr_loss=0.0874]
steps:  13%|█▎        | 546/4288 [11:33<1:19:11,  1.27s/it, avr_loss=0.0874]
steps:  13%|█▎        | 546/4288 [11:33<1:19:11,  1.27s/it, avr_loss=0.0873]
steps:  13%|█▎        | 547/4288 [11:34<1:19:10,  1.27s/it, avr_loss=0.0873]
steps:  13%|█▎        | 547/4288 [11:34<1:19:10,  1.27s/it, avr_loss=0.0863]
steps:  13%|█▎        | 548/4288 [11:35<1:19:09,  1.27s/it, avr_loss=0.0863]
steps:  13%|█▎        | 548/4288 [11:35<1:19:09,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 549/4288 [11:37<1:19:08,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 549/4288 [11:37<1:19:08,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 550/4288 [11:38<1:19:07,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 550/4288 [11:38<1:19:07,  1.27s/it, avr_loss=0.0853]
steps:  13%|█▎        | 551/4288 [11:39<1:19:05,  1.27s/it, avr_loss=0.0853]
steps:  13%|█▎        | 551/4288 [11:39<1:19:05,  1.27s/it, avr_loss=0.0858]
steps:  13%|█▎        | 552/4288 [11:41<1:19:05,  1.27s/it, avr_loss=0.0858]
steps:  13%|█▎        | 552/4288 [11:41<1:19:05,  1.27s/it, avr_loss=0.086] 
steps:  13%|█▎        | 553/4288 [11:42<1:19:04,  1.27s/it, avr_loss=0.086]
steps:  13%|█▎        | 553/4288 [11:42<1:19:04,  1.27s/it, avr_loss=0.086]
steps:  13%|█▎        | 554/4288 [11:43<1:19:02,  1.27s/it, avr_loss=0.086]
steps:  13%|█▎        | 554/4288 [11:43<1:19:02,  1.27s/it, avr_loss=0.086]
steps:  13%|█▎        | 555/4288 [11:44<1:19:01,  1.27s/it, avr_loss=0.086]
steps:  13%|█▎        | 555/4288 [11:44<1:19:01,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 556/4288 [11:46<1:18:59,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 556/4288 [11:46<1:18:59,  1.27s/it, avr_loss=0.0858]
steps:  13%|█▎        | 557/4288 [11:47<1:18:58,  1.27s/it, avr_loss=0.0858]
steps:  13%|█▎        | 557/4288 [11:47<1:18:58,  1.27s/it, avr_loss=0.0862]
steps:  13%|█▎        | 558/4288 [11:48<1:18:57,  1.27s/it, avr_loss=0.0862]
steps:  13%|█▎        | 558/4288 [11:48<1:18:57,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 559/4288 [11:49<1:18:55,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 559/4288 [11:49<1:18:55,  1.27s/it, avr_loss=0.086] 
steps:  13%|█▎        | 560/4288 [11:51<1:18:54,  1.27s/it, avr_loss=0.086]
steps:  13%|█▎        | 560/4288 [11:51<1:18:54,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 561/4288 [11:52<1:18:52,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 561/4288 [11:52<1:18:52,  1.27s/it, avr_loss=0.086] 
steps:  13%|█▎        | 562/4288 [11:53<1:18:51,  1.27s/it, avr_loss=0.086]
steps:  13%|█▎        | 562/4288 [11:53<1:18:51,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 563/4288 [11:55<1:18:50,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 563/4288 [11:55<1:18:50,  1.27s/it, avr_loss=0.0862]
steps:  13%|█▎        | 564/4288 [11:56<1:18:48,  1.27s/it, avr_loss=0.0862]
steps:  13%|█▎        | 564/4288 [11:56<1:18:48,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 565/4288 [11:57<1:18:48,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 565/4288 [11:57<1:18:48,  1.27s/it, avr_loss=0.086] 
steps:  13%|█▎        | 566/4288 [11:58<1:18:46,  1.27s/it, avr_loss=0.086]
steps:  13%|█▎        | 566/4288 [11:58<1:18:46,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 567/4288 [12:00<1:18:45,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 567/4288 [12:00<1:18:45,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 568/4288 [12:01<1:18:43,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 568/4288 [12:01<1:18:43,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 569/4288 [12:02<1:18:41,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 569/4288 [12:02<1:18:41,  1.27s/it, avr_loss=0.0858]
steps:  13%|█▎        | 570/4288 [12:03<1:18:40,  1.27s/it, avr_loss=0.0858]
steps:  13%|█▎        | 570/4288 [12:03<1:18:40,  1.27s/it, avr_loss=0.0857]
steps:  13%|█▎        | 571/4288 [12:04<1:18:39,  1.27s/it, avr_loss=0.0857]
steps:  13%|█▎        | 571/4288 [12:04<1:18:39,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 572/4288 [12:06<1:18:38,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 572/4288 [12:06<1:18:38,  1.27s/it, avr_loss=0.0858]
steps:  13%|█▎        | 573/4288 [12:07<1:18:37,  1.27s/it, avr_loss=0.0858]
steps:  13%|█▎        | 573/4288 [12:07<1:18:38,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 574/4288 [12:08<1:18:36,  1.27s/it, avr_loss=0.0859]
steps:  13%|█▎        | 574/4288 [12:08<1:18:36,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 575/4288 [12:10<1:18:35,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 575/4288 [12:10<1:18:35,  1.27s/it, avr_loss=0.0864]
steps:  13%|█▎        | 576/4288 [12:11<1:18:33,  1.27s/it, avr_loss=0.0864]
steps:  13%|█▎        | 576/4288 [12:11<1:18:33,  1.27s/it, avr_loss=0.0864]
steps:  13%|█▎        | 577/4288 [12:12<1:18:33,  1.27s/it, avr_loss=0.0864]
steps:  13%|█▎        | 577/4288 [12:12<1:18:33,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 578/4288 [12:14<1:18:33,  1.27s/it, avr_loss=0.0861]
steps:  13%|█▎        | 578/4288 [12:14<1:18:33,  1.27s/it, avr_loss=0.0863]
steps:  14%|█▎        | 579/4288 [12:15<1:18:31,  1.27s/it, avr_loss=0.0863]
steps:  14%|█▎        | 579/4288 [12:15<1:18:31,  1.27s/it, avr_loss=0.0864]
steps:  14%|█▎        | 580/4288 [12:16<1:18:29,  1.27s/it, avr_loss=0.0864]
steps:  14%|█▎        | 580/4288 [12:16<1:18:29,  1.27s/it, avr_loss=0.0863]
steps:  14%|█▎        | 581/4288 [12:17<1:18:28,  1.27s/it, avr_loss=0.0863]
steps:  14%|█▎        | 581/4288 [12:17<1:18:28,  1.27s/it, avr_loss=0.0862]
steps:  14%|█▎        | 582/4288 [12:19<1:18:26,  1.27s/it, avr_loss=0.0862]
steps:  14%|█▎        | 582/4288 [12:19<1:18:26,  1.27s/it, avr_loss=0.0861]
steps:  14%|█▎        | 583/4288 [12:20<1:18:24,  1.27s/it, avr_loss=0.0861]
steps:  14%|█▎        | 583/4288 [12:20<1:18:24,  1.27s/it, avr_loss=0.0863]
steps:  14%|█▎        | 584/4288 [12:21<1:18:23,  1.27s/it, avr_loss=0.0863]
steps:  14%|█▎        | 584/4288 [12:21<1:18:23,  1.27s/it, avr_loss=0.0864]
steps:  14%|█▎        | 585/4288 [12:22<1:18:22,  1.27s/it, avr_loss=0.0864]
steps:  14%|█▎        | 585/4288 [12:22<1:18:22,  1.27s/it, avr_loss=0.0862]
steps:  14%|█▎        | 586/4288 [12:24<1:18:21,  1.27s/it, avr_loss=0.0862]
steps:  14%|█▎        | 586/4288 [12:24<1:18:21,  1.27s/it, avr_loss=0.0867]
steps:  14%|█▎        | 587/4288 [12:25<1:18:18,  1.27s/it, avr_loss=0.0867]
steps:  14%|█▎        | 587/4288 [12:25<1:18:18,  1.27s/it, avr_loss=0.0867]
steps:  14%|█▎        | 588/4288 [12:26<1:18:17,  1.27s/it, avr_loss=0.0867]
steps:  14%|█▎        | 588/4288 [12:26<1:18:17,  1.27s/it, avr_loss=0.0867]
steps:  14%|█▎        | 589/4288 [12:27<1:18:15,  1.27s/it, avr_loss=0.0867]
steps:  14%|█▎        | 589/4288 [12:27<1:18:15,  1.27s/it, avr_loss=0.0867]
steps:  14%|█▍        | 590/4288 [12:28<1:18:14,  1.27s/it, avr_loss=0.0867]
steps:  14%|█▍        | 590/4288 [12:28<1:18:14,  1.27s/it, avr_loss=0.0867]
steps:  14%|█▍        | 591/4288 [12:30<1:18:13,  1.27s/it, avr_loss=0.0867]
steps:  14%|█▍        | 591/4288 [12:30<1:18:13,  1.27s/it, avr_loss=0.0868]
steps:  14%|█▍        | 592/4288 [12:31<1:18:11,  1.27s/it, avr_loss=0.0868]
steps:  14%|█▍        | 592/4288 [12:31<1:18:11,  1.27s/it, avr_loss=0.0869]
steps:  14%|█▍        | 593/4288 [12:32<1:18:11,  1.27s/it, avr_loss=0.0869]
steps:  14%|█▍        | 593/4288 [12:32<1:18:11,  1.27s/it, avr_loss=0.0869]
steps:  14%|█▍        | 594/4288 [12:34<1:18:10,  1.27s/it, avr_loss=0.0869]
steps:  14%|█▍        | 594/4288 [12:34<1:18:10,  1.27s/it, avr_loss=0.0866]
steps:  14%|█▍        | 595/4288 [12:35<1:18:08,  1.27s/it, avr_loss=0.0866]
steps:  14%|█▍        | 595/4288 [12:35<1:18:08,  1.27s/it, avr_loss=0.0866]
steps:  14%|█▍        | 596/4288 [12:36<1:18:08,  1.27s/it, avr_loss=0.0866]
steps:  14%|█▍        | 596/4288 [12:36<1:18:08,  1.27s/it, avr_loss=0.0859]
steps:  14%|█▍        | 597/4288 [12:38<1:18:07,  1.27s/it, avr_loss=0.0859]
steps:  14%|█▍        | 597/4288 [12:38<1:18:07,  1.27s/it, avr_loss=0.0859]
steps:  14%|█▍        | 598/4288 [12:39<1:18:06,  1.27s/it, avr_loss=0.0859]
steps:  14%|█▍        | 598/4288 [12:39<1:18:06,  1.27s/it, avr_loss=0.0859]
steps:  14%|█▍        | 599/4288 [12:40<1:18:04,  1.27s/it, avr_loss=0.0859]
steps:  14%|█▍        | 599/4288 [12:40<1:18:04,  1.27s/it, avr_loss=0.086] 
steps:  14%|█▍        | 600/4288 [12:41<1:18:02,  1.27s/it, avr_loss=0.086]
steps:  14%|█▍        | 600/4288 [12:41<1:18:02,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 601/4288 [12:43<1:18:01,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 601/4288 [12:43<1:18:01,  1.27s/it, avr_loss=0.0857]
steps:  14%|█▍        | 602/4288 [12:44<1:18:00,  1.27s/it, avr_loss=0.0857]
steps:  14%|█▍        | 602/4288 [12:44<1:18:00,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 603/4288 [12:45<1:17:59,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 603/4288 [12:45<1:17:59,  1.27s/it, avr_loss=0.086] 
steps:  14%|█▍        | 604/4288 [12:47<1:17:58,  1.27s/it, avr_loss=0.086]
steps:  14%|█▍        | 604/4288 [12:47<1:17:58,  1.27s/it, avr_loss=0.086]
steps:  14%|█▍        | 605/4288 [12:48<1:17:58,  1.27s/it, avr_loss=0.086]
steps:  14%|█▍        | 605/4288 [12:48<1:17:58,  1.27s/it, avr_loss=0.086]
steps:  14%|█▍        | 606/4288 [12:49<1:17:56,  1.27s/it, avr_loss=0.086]
steps:  14%|█▍        | 606/4288 [12:49<1:17:56,  1.27s/it, avr_loss=0.0857]
steps:  14%|█▍        | 607/4288 [12:50<1:17:55,  1.27s/it, avr_loss=0.0857]
steps:  14%|█▍        | 607/4288 [12:50<1:17:55,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 608/4288 [12:52<1:17:53,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 608/4288 [12:52<1:17:53,  1.27s/it, avr_loss=0.0859]
steps:  14%|█▍        | 609/4288 [12:53<1:17:52,  1.27s/it, avr_loss=0.0859]
steps:  14%|█▍        | 609/4288 [12:53<1:17:52,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 610/4288 [12:54<1:17:51,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 610/4288 [12:54<1:17:51,  1.27s/it, avr_loss=0.086] 
steps:  14%|█▍        | 611/4288 [12:56<1:17:50,  1.27s/it, avr_loss=0.086]
steps:  14%|█▍        | 611/4288 [12:56<1:17:50,  1.27s/it, avr_loss=0.0859]
steps:  14%|█▍        | 612/4288 [12:57<1:17:48,  1.27s/it, avr_loss=0.0859]
steps:  14%|█▍        | 612/4288 [12:57<1:17:48,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 613/4288 [12:58<1:17:48,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 613/4288 [12:58<1:17:48,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 614/4288 [12:59<1:17:47,  1.27s/it, avr_loss=0.0858]
steps:  14%|█▍        | 614/4288 [12:59<1:17:47,  1.27s/it, avr_loss=0.0856]
steps:  14%|█▍        | 615/4288 [13:01<1:17:44,  1.27s/it, avr_loss=0.0856]
steps:  14%|█▍        | 615/4288 [13:01<1:17:44,  1.27s/it, avr_loss=0.0852]
steps:  14%|█▍        | 616/4288 [13:02<1:17:44,  1.27s/it, avr_loss=0.0852]
steps:  14%|█▍        | 616/4288 [13:02<1:17:44,  1.27s/it, avr_loss=0.0852]
steps:  14%|█▍        | 617/4288 [13:03<1:17:43,  1.27s/it, avr_loss=0.0852]
steps:  14%|█▍        | 617/4288 [13:03<1:17:43,  1.27s/it, avr_loss=0.0852]
steps:  14%|█▍        | 618/4288 [13:05<1:17:42,  1.27s/it, avr_loss=0.0852]
steps:  14%|█▍        | 618/4288 [13:05<1:17:42,  1.27s/it, avr_loss=0.085] 
steps:  14%|█▍        | 619/4288 [13:06<1:17:41,  1.27s/it, avr_loss=0.085]
steps:  14%|█▍        | 619/4288 [13:06<1:17:41,  1.27s/it, avr_loss=0.085]
steps:  14%|█▍        | 620/4288 [13:07<1:17:40,  1.27s/it, avr_loss=0.085]
steps:  14%|█▍        | 620/4288 [13:07<1:17:40,  1.27s/it, avr_loss=0.0849]
steps:  14%|█▍        | 621/4288 [13:09<1:17:40,  1.27s/it, avr_loss=0.0849]
steps:  14%|█▍        | 621/4288 [13:09<1:17:40,  1.27s/it, avr_loss=0.0851]
steps:  15%|█▍        | 622/4288 [13:10<1:17:39,  1.27s/it, avr_loss=0.0851]
steps:  15%|█▍        | 622/4288 [13:10<1:17:39,  1.27s/it, avr_loss=0.0851]
steps:  15%|█▍        | 623/4288 [13:11<1:17:38,  1.27s/it, avr_loss=0.0851]
steps:  15%|█▍        | 623/4288 [13:11<1:17:38,  1.27s/it, avr_loss=0.085] 
steps:  15%|█▍        | 624/4288 [13:13<1:17:37,  1.27s/it, avr_loss=0.085]
steps:  15%|█▍        | 624/4288 [13:13<1:17:37,  1.27s/it, avr_loss=0.0858]
steps:  15%|█▍        | 625/4288 [13:14<1:17:36,  1.27s/it, avr_loss=0.0858]
steps:  15%|█▍        | 625/4288 [13:14<1:17:36,  1.27s/it, avr_loss=0.0855]
steps:  15%|█▍        | 626/4288 [13:15<1:17:34,  1.27s/it, avr_loss=0.0855]
steps:  15%|█▍        | 626/4288 [13:15<1:17:34,  1.27s/it, avr_loss=0.0857]
steps:  15%|█▍        | 627/4288 [13:16<1:17:33,  1.27s/it, avr_loss=0.0857]
steps:  15%|█▍        | 627/4288 [13:16<1:17:33,  1.27s/it, avr_loss=0.0858]
steps:  15%|█▍        | 628/4288 [13:18<1:17:32,  1.27s/it, avr_loss=0.0858]
steps:  15%|█▍        | 628/4288 [13:18<1:17:32,  1.27s/it, avr_loss=0.0857]
steps:  15%|█▍        | 629/4288 [13:19<1:17:30,  1.27s/it, avr_loss=0.0857]
steps:  15%|█▍        | 629/4288 [13:19<1:17:30,  1.27s/it, avr_loss=0.0847]
steps:  15%|█▍        | 630/4288 [13:20<1:17:29,  1.27s/it, avr_loss=0.0847]
steps:  15%|█▍        | 630/4288 [13:20<1:17:29,  1.27s/it, avr_loss=0.0848]
steps:  15%|█▍        | 631/4288 [13:22<1:17:29,  1.27s/it, avr_loss=0.0848]
steps:  15%|█▍        | 631/4288 [13:22<1:17:29,  1.27s/it, avr_loss=0.0847]
steps:  15%|█▍        | 632/4288 [13:23<1:17:27,  1.27s/it, avr_loss=0.0847]
steps:  15%|█▍        | 632/4288 [13:23<1:17:27,  1.27s/it, avr_loss=0.0849]
steps:  15%|█▍        | 633/4288 [13:24<1:17:25,  1.27s/it, avr_loss=0.0849]
steps:  15%|█▍        | 633/4288 [13:24<1:17:25,  1.27s/it, avr_loss=0.0847]
steps:  15%|█▍        | 634/4288 [13:25<1:17:24,  1.27s/it, avr_loss=0.0847]
steps:  15%|█▍        | 634/4288 [13:25<1:17:24,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▍        | 635/4288 [13:27<1:17:23,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▍        | 635/4288 [13:27<1:17:23,  1.27s/it, avr_loss=0.0849]
steps:  15%|█▍        | 636/4288 [13:28<1:17:22,  1.27s/it, avr_loss=0.0849]
steps:  15%|█▍        | 636/4288 [13:28<1:17:22,  1.27s/it, avr_loss=0.0848]
steps:  15%|█▍        | 637/4288 [13:29<1:17:20,  1.27s/it, avr_loss=0.0848]
steps:  15%|█▍        | 637/4288 [13:29<1:17:20,  1.27s/it, avr_loss=0.0847]
steps:  15%|█▍        | 638/4288 [13:30<1:17:19,  1.27s/it, avr_loss=0.0847]
steps:  15%|█▍        | 638/4288 [13:30<1:17:19,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▍        | 639/4288 [13:32<1:17:18,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▍        | 639/4288 [13:32<1:17:18,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▍        | 640/4288 [13:33<1:17:16,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▍        | 640/4288 [13:33<1:17:16,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▍        | 641/4288 [13:34<1:17:15,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▍        | 641/4288 [13:34<1:17:15,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▍        | 642/4288 [13:35<1:17:13,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▍        | 642/4288 [13:35<1:17:13,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▍        | 643/4288 [13:37<1:17:13,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▍        | 643/4288 [13:37<1:17:13,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▌        | 644/4288 [13:38<1:17:11,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▌        | 644/4288 [13:38<1:17:11,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▌        | 645/4288 [13:39<1:17:09,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▌        | 645/4288 [13:39<1:17:09,  1.27s/it, avr_loss=0.0847]
steps:  15%|█▌        | 646/4288 [13:40<1:17:08,  1.27s/it, avr_loss=0.0847]
steps:  15%|█▌        | 646/4288 [13:40<1:17:08,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▌        | 647/4288 [13:42<1:17:07,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▌        | 647/4288 [13:42<1:17:07,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▌        | 648/4288 [13:43<1:17:06,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▌        | 648/4288 [13:43<1:17:06,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▌        | 649/4288 [13:44<1:17:05,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▌        | 649/4288 [13:44<1:17:05,  1.27s/it, avr_loss=0.0844]
steps:  15%|█▌        | 650/4288 [13:46<1:17:04,  1.27s/it, avr_loss=0.0844]
steps:  15%|█▌        | 650/4288 [13:46<1:17:04,  1.27s/it, avr_loss=0.084] 
steps:  15%|█▌        | 651/4288 [13:47<1:17:02,  1.27s/it, avr_loss=0.084]
steps:  15%|█▌        | 651/4288 [13:47<1:17:02,  1.27s/it, avr_loss=0.0841]
steps:  15%|█▌        | 652/4288 [13:48<1:17:01,  1.27s/it, avr_loss=0.0841]
steps:  15%|█▌        | 652/4288 [13:48<1:17:01,  1.27s/it, avr_loss=0.0838]
steps:  15%|█▌        | 653/4288 [13:49<1:16:59,  1.27s/it, avr_loss=0.0838]
steps:  15%|█▌        | 653/4288 [13:49<1:16:59,  1.27s/it, avr_loss=0.0841]
steps:  15%|█▌        | 654/4288 [13:51<1:16:58,  1.27s/it, avr_loss=0.0841]
steps:  15%|█▌        | 654/4288 [13:51<1:16:58,  1.27s/it, avr_loss=0.0841]
steps:  15%|█▌        | 655/4288 [13:52<1:16:57,  1.27s/it, avr_loss=0.0841]
steps:  15%|█▌        | 655/4288 [13:52<1:16:57,  1.27s/it, avr_loss=0.0843]
steps:  15%|█▌        | 656/4288 [13:53<1:16:56,  1.27s/it, avr_loss=0.0843]
steps:  15%|█▌        | 656/4288 [13:53<1:16:56,  1.27s/it, avr_loss=0.0841]
steps:  15%|█▌        | 657/4288 [13:55<1:16:54,  1.27s/it, avr_loss=0.0841]
steps:  15%|█▌        | 657/4288 [13:55<1:16:54,  1.27s/it, avr_loss=0.0843]
steps:  15%|█▌        | 658/4288 [13:56<1:16:53,  1.27s/it, avr_loss=0.0843]
steps:  15%|█▌        | 658/4288 [13:56<1:16:53,  1.27s/it, avr_loss=0.0842]
steps:  15%|█▌        | 659/4288 [13:57<1:16:51,  1.27s/it, avr_loss=0.0842]
steps:  15%|█▌        | 659/4288 [13:57<1:16:51,  1.27s/it, avr_loss=0.0843]
steps:  15%|█▌        | 660/4288 [13:58<1:16:50,  1.27s/it, avr_loss=0.0843]
steps:  15%|█▌        | 660/4288 [13:58<1:16:50,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▌        | 661/4288 [14:00<1:16:49,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▌        | 661/4288 [14:00<1:16:49,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▌        | 662/4288 [14:01<1:16:48,  1.27s/it, avr_loss=0.0846]
steps:  15%|█▌        | 662/4288 [14:01<1:16:48,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▌        | 663/4288 [14:02<1:16:47,  1.27s/it, avr_loss=0.0845]
steps:  15%|█▌        | 663/4288 [14:02<1:16:47,  1.27s/it, avr_loss=0.0835]
steps:  15%|█▌        | 664/4288 [14:03<1:16:45,  1.27s/it, avr_loss=0.0835]
steps:  15%|█▌        | 664/4288 [14:03<1:16:45,  1.27s/it, avr_loss=0.0836]
steps:  16%|█▌        | 665/4288 [14:05<1:16:44,  1.27s/it, avr_loss=0.0836]
steps:  16%|█▌        | 665/4288 [14:05<1:16:44,  1.27s/it, avr_loss=0.0835]
steps:  16%|█▌        | 666/4288 [14:06<1:16:43,  1.27s/it, avr_loss=0.0835]
steps:  16%|█▌        | 666/4288 [14:06<1:16:43,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 667/4288 [14:07<1:16:42,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 667/4288 [14:07<1:16:42,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 668/4288 [14:09<1:16:41,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 668/4288 [14:09<1:16:41,  1.27s/it, avr_loss=0.0834]
steps:  16%|█▌        | 669/4288 [14:10<1:16:40,  1.27s/it, avr_loss=0.0834]
steps:  16%|█▌        | 669/4288 [14:10<1:16:40,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 670/4288 [14:11<1:16:38,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 670/4288 [14:11<1:16:38,  1.27s/it, avr_loss=0.0834]
steps:  16%|█▌        | 671/4288 [14:12<1:16:37,  1.27s/it, avr_loss=0.0834]
steps:  16%|█▌        | 671/4288 [14:12<1:16:37,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▌        | 672/4288 [14:14<1:16:36,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▌        | 672/4288 [14:14<1:16:36,  1.27s/it, avr_loss=0.0827]
steps:  16%|█▌        | 673/4288 [14:15<1:16:35,  1.27s/it, avr_loss=0.0827]
steps:  16%|█▌        | 673/4288 [14:15<1:16:35,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▌        | 674/4288 [14:16<1:16:34,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▌        | 674/4288 [14:16<1:16:34,  1.27s/it, avr_loss=0.0831]
steps:  16%|█▌        | 675/4288 [14:17<1:16:32,  1.27s/it, avr_loss=0.0831]
steps:  16%|█▌        | 675/4288 [14:17<1:16:32,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 676/4288 [14:19<1:16:30,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 676/4288 [14:19<1:16:30,  1.27s/it, avr_loss=0.0831]
steps:  16%|█▌        | 677/4288 [14:20<1:16:29,  1.27s/it, avr_loss=0.0831]
steps:  16%|█▌        | 677/4288 [14:20<1:16:29,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▌        | 678/4288 [14:21<1:16:28,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▌        | 678/4288 [14:21<1:16:28,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 679/4288 [14:23<1:16:27,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 679/4288 [14:23<1:16:27,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▌        | 680/4288 [14:24<1:16:25,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▌        | 680/4288 [14:24<1:16:25,  1.27s/it, avr_loss=0.0829]
steps:  16%|█▌        | 681/4288 [14:25<1:16:23,  1.27s/it, avr_loss=0.0829]
steps:  16%|█▌        | 681/4288 [14:25<1:16:23,  1.27s/it, avr_loss=0.0828]
steps:  16%|█▌        | 682/4288 [14:26<1:16:22,  1.27s/it, avr_loss=0.0828]
steps:  16%|█▌        | 682/4288 [14:26<1:16:22,  1.27s/it, avr_loss=0.0831]
steps:  16%|█▌        | 683/4288 [14:28<1:16:22,  1.27s/it, avr_loss=0.0831]
steps:  16%|█▌        | 683/4288 [14:28<1:16:22,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 684/4288 [14:29<1:16:20,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▌        | 684/4288 [14:29<1:16:20,  1.27s/it, avr_loss=0.0835]
steps:  16%|█▌        | 685/4288 [14:30<1:16:18,  1.27s/it, avr_loss=0.0835]
steps:  16%|█▌        | 685/4288 [14:30<1:16:18,  1.27s/it, avr_loss=0.0835]
steps:  16%|█▌        | 686/4288 [14:31<1:16:18,  1.27s/it, avr_loss=0.0835]
steps:  16%|█▌        | 686/4288 [14:31<1:16:18,  1.27s/it, avr_loss=0.0834]
steps:  16%|█▌        | 687/4288 [14:33<1:16:16,  1.27s/it, avr_loss=0.0834]
steps:  16%|█▌        | 687/4288 [14:33<1:16:16,  1.27s/it, avr_loss=0.0834]
steps:  16%|█▌        | 688/4288 [14:34<1:16:15,  1.27s/it, avr_loss=0.0834]
steps:  16%|█▌        | 688/4288 [14:34<1:16:15,  1.27s/it, avr_loss=0.0835]
steps:  16%|█▌        | 689/4288 [14:35<1:16:14,  1.27s/it, avr_loss=0.0835]
steps:  16%|█▌        | 689/4288 [14:35<1:16:14,  1.27s/it, avr_loss=0.0838]
steps:  16%|█▌        | 690/4288 [14:37<1:16:13,  1.27s/it, avr_loss=0.0838]
steps:  16%|█▌        | 690/4288 [14:37<1:16:13,  1.27s/it, avr_loss=0.0837]
steps:  16%|█▌        | 691/4288 [14:38<1:16:11,  1.27s/it, avr_loss=0.0837]
steps:  16%|█▌        | 691/4288 [14:38<1:16:11,  1.27s/it, avr_loss=0.0836]
steps:  16%|█▌        | 692/4288 [14:39<1:16:11,  1.27s/it, avr_loss=0.0836]
steps:  16%|█▌        | 692/4288 [14:39<1:16:11,  1.27s/it, avr_loss=0.0836]
steps:  16%|█▌        | 693/4288 [14:40<1:16:10,  1.27s/it, avr_loss=0.0836]
steps:  16%|█▌        | 693/4288 [14:40<1:16:10,  1.27s/it, avr_loss=0.0838]
steps:  16%|█▌        | 694/4288 [14:42<1:16:08,  1.27s/it, avr_loss=0.0838]
steps:  16%|█▌        | 694/4288 [14:42<1:16:08,  1.27s/it, avr_loss=0.0839]
steps:  16%|█▌        | 695/4288 [14:43<1:16:07,  1.27s/it, avr_loss=0.0839]
steps:  16%|█▌        | 695/4288 [14:43<1:16:07,  1.27s/it, avr_loss=0.0838]
steps:  16%|█▌        | 696/4288 [14:44<1:16:06,  1.27s/it, avr_loss=0.0838]
steps:  16%|█▌        | 696/4288 [14:44<1:16:06,  1.27s/it, avr_loss=0.0835]
steps:  16%|█▋        | 697/4288 [14:46<1:16:05,  1.27s/it, avr_loss=0.0835]
steps:  16%|█▋        | 697/4288 [14:46<1:16:05,  1.27s/it, avr_loss=0.0836]
steps:  16%|█▋        | 698/4288 [14:47<1:16:03,  1.27s/it, avr_loss=0.0836]
steps:  16%|█▋        | 698/4288 [14:47<1:16:03,  1.27s/it, avr_loss=0.0837]
steps:  16%|█▋        | 699/4288 [14:48<1:16:02,  1.27s/it, avr_loss=0.0837]
steps:  16%|█▋        | 699/4288 [14:48<1:16:02,  1.27s/it, avr_loss=0.0834]
steps:  16%|█▋        | 700/4288 [14:49<1:16:00,  1.27s/it, avr_loss=0.0834]
steps:  16%|█▋        | 700/4288 [14:49<1:16:00,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▋        | 701/4288 [14:51<1:15:59,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▋        | 701/4288 [14:51<1:15:59,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▋        | 702/4288 [14:52<1:15:58,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▋        | 702/4288 [14:52<1:15:58,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▋        | 703/4288 [14:53<1:15:57,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▋        | 703/4288 [14:53<1:15:57,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▋        | 704/4288 [14:54<1:15:56,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▋        | 704/4288 [14:54<1:15:56,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▋        | 705/4288 [14:56<1:15:54,  1.27s/it, avr_loss=0.0833]
steps:  16%|█▋        | 705/4288 [14:56<1:15:54,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▋        | 706/4288 [14:57<1:15:53,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▋        | 706/4288 [14:57<1:15:53,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▋        | 707/4288 [14:58<1:15:52,  1.27s/it, avr_loss=0.0832]
steps:  16%|█▋        | 707/4288 [14:58<1:15:52,  1.27s/it, avr_loss=0.0831]
steps:  17%|█▋        | 708/4288 [15:00<1:15:51,  1.27s/it, avr_loss=0.0831]
steps:  17%|█▋        | 708/4288 [15:00<1:15:51,  1.27s/it, avr_loss=0.0829]
steps:  17%|█▋        | 709/4288 [15:01<1:15:49,  1.27s/it, avr_loss=0.0829]
steps:  17%|█▋        | 709/4288 [15:01<1:15:49,  1.27s/it, avr_loss=0.0829]
steps:  17%|█▋        | 710/4288 [15:02<1:15:48,  1.27s/it, avr_loss=0.0829]
steps:  17%|█▋        | 710/4288 [15:02<1:15:48,  1.27s/it, avr_loss=0.0828]
steps:  17%|█▋        | 711/4288 [15:03<1:15:47,  1.27s/it, avr_loss=0.0828]
steps:  17%|█▋        | 711/4288 [15:03<1:15:47,  1.27s/it, avr_loss=0.0829]
steps:  17%|█▋        | 712/4288 [15:05<1:15:45,  1.27s/it, avr_loss=0.0829]
steps:  17%|█▋        | 712/4288 [15:05<1:15:45,  1.27s/it, avr_loss=0.0828]
steps:  17%|█▋        | 713/4288 [15:06<1:15:44,  1.27s/it, avr_loss=0.0828]
steps:  17%|█▋        | 713/4288 [15:06<1:15:44,  1.27s/it, avr_loss=0.0831]
steps:  17%|█▋        | 714/4288 [15:07<1:15:43,  1.27s/it, avr_loss=0.0831]
steps:  17%|█▋        | 714/4288 [15:07<1:15:43,  1.27s/it, avr_loss=0.083] 
steps:  17%|█▋        | 715/4288 [15:08<1:15:42,  1.27s/it, avr_loss=0.083]
steps:  17%|█▋        | 715/4288 [15:08<1:15:42,  1.27s/it, avr_loss=0.0832]
steps:  17%|█▋        | 716/4288 [15:10<1:15:41,  1.27s/it, avr_loss=0.0832]
steps:  17%|█▋        | 716/4288 [15:10<1:15:41,  1.27s/it, avr_loss=0.0831]
steps:  17%|█▋        | 717/4288 [15:11<1:15:40,  1.27s/it, avr_loss=0.0831]
steps:  17%|█▋        | 717/4288 [15:11<1:15:40,  1.27s/it, avr_loss=0.083] 
steps:  17%|█▋        | 718/4288 [15:13<1:15:39,  1.27s/it, avr_loss=0.083]
steps:  17%|█▋        | 718/4288 [15:13<1:15:39,  1.27s/it, avr_loss=0.0828]
steps:  17%|█▋        | 719/4288 [15:14<1:15:38,  1.27s/it, avr_loss=0.0828]
steps:  17%|█▋        | 719/4288 [15:14<1:15:38,  1.27s/it, avr_loss=0.0823]
steps:  17%|█▋        | 720/4288 [15:15<1:15:37,  1.27s/it, avr_loss=0.0823]
steps:  17%|█▋        | 720/4288 [15:15<1:15:37,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 721/4288 [15:17<1:15:36,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 721/4288 [15:17<1:15:36,  1.27s/it, avr_loss=0.0819]
steps:  17%|█▋        | 722/4288 [15:18<1:15:35,  1.27s/it, avr_loss=0.0819]
steps:  17%|█▋        | 722/4288 [15:18<1:15:35,  1.27s/it, avr_loss=0.0822]
steps:  17%|█▋        | 723/4288 [15:19<1:15:34,  1.27s/it, avr_loss=0.0822]
steps:  17%|█▋        | 723/4288 [15:19<1:15:34,  1.27s/it, avr_loss=0.0819]
steps:  17%|█▋        | 724/4288 [15:20<1:15:32,  1.27s/it, avr_loss=0.0819]
steps:  17%|█▋        | 724/4288 [15:20<1:15:32,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 725/4288 [15:21<1:15:30,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 725/4288 [15:21<1:15:30,  1.27s/it, avr_loss=0.0818]
steps:  17%|█▋        | 726/4288 [15:23<1:15:29,  1.27s/it, avr_loss=0.0818]
steps:  17%|█▋        | 726/4288 [15:23<1:15:29,  1.27s/it, avr_loss=0.0818]
steps:  17%|█▋        | 727/4288 [15:24<1:15:28,  1.27s/it, avr_loss=0.0818]
steps:  17%|█▋        | 727/4288 [15:24<1:15:28,  1.27s/it, avr_loss=0.0817]
steps:  17%|█▋        | 728/4288 [15:25<1:15:26,  1.27s/it, avr_loss=0.0817]
steps:  17%|█▋        | 728/4288 [15:25<1:15:26,  1.27s/it, avr_loss=0.0816]
steps:  17%|█▋        | 729/4288 [15:26<1:15:25,  1.27s/it, avr_loss=0.0816]
steps:  17%|█▋        | 729/4288 [15:26<1:15:25,  1.27s/it, avr_loss=0.082] 
steps:  17%|█▋        | 730/4288 [15:28<1:15:23,  1.27s/it, avr_loss=0.082]
steps:  17%|█▋        | 730/4288 [15:28<1:15:23,  1.27s/it, avr_loss=0.082]
steps:  17%|█▋        | 731/4288 [15:29<1:15:22,  1.27s/it, avr_loss=0.082]
steps:  17%|█▋        | 731/4288 [15:29<1:15:22,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 732/4288 [15:30<1:15:21,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 732/4288 [15:30<1:15:21,  1.27s/it, avr_loss=0.0822]
steps:  17%|█▋        | 733/4288 [15:32<1:15:20,  1.27s/it, avr_loss=0.0822]
steps:  17%|█▋        | 733/4288 [15:32<1:15:20,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 734/4288 [15:33<1:15:19,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 734/4288 [15:33<1:15:19,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 735/4288 [15:34<1:15:17,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 735/4288 [15:34<1:15:18,  1.27s/it, avr_loss=0.082] 
steps:  17%|█▋        | 736/4288 [15:35<1:15:17,  1.27s/it, avr_loss=0.082]
steps:  17%|█▋        | 736/4288 [15:35<1:15:17,  1.27s/it, avr_loss=0.0819]
steps:  17%|█▋        | 737/4288 [15:37<1:15:15,  1.27s/it, avr_loss=0.0819]
steps:  17%|█▋        | 737/4288 [15:37<1:15:15,  1.27s/it, avr_loss=0.0822]
steps:  17%|█▋        | 738/4288 [15:38<1:15:14,  1.27s/it, avr_loss=0.0822]
steps:  17%|█▋        | 738/4288 [15:38<1:15:14,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 739/4288 [15:39<1:15:12,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 739/4288 [15:39<1:15:12,  1.27s/it, avr_loss=0.0826]
steps:  17%|█▋        | 740/4288 [15:40<1:15:11,  1.27s/it, avr_loss=0.0826]
steps:  17%|█▋        | 740/4288 [15:40<1:15:11,  1.27s/it, avr_loss=0.0826]
steps:  17%|█▋        | 741/4288 [15:42<1:15:09,  1.27s/it, avr_loss=0.0826]
steps:  17%|█▋        | 741/4288 [15:42<1:15:09,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 742/4288 [15:43<1:15:08,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 742/4288 [15:43<1:15:08,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 743/4288 [15:44<1:15:06,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 743/4288 [15:44<1:15:06,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 744/4288 [15:45<1:15:05,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 744/4288 [15:45<1:15:05,  1.27s/it, avr_loss=0.0822]
steps:  17%|█▋        | 745/4288 [15:46<1:15:03,  1.27s/it, avr_loss=0.0822]
steps:  17%|█▋        | 745/4288 [15:46<1:15:03,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 746/4288 [15:48<1:15:01,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 746/4288 [15:48<1:15:01,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 747/4288 [15:49<1:15:00,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 747/4288 [15:49<1:15:00,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 748/4288 [15:50<1:14:59,  1.27s/it, avr_loss=0.0821]
steps:  17%|█▋        | 748/4288 [15:50<1:14:59,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 749/4288 [15:52<1:14:58,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 749/4288 [15:52<1:14:58,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 750/4288 [15:53<1:14:57,  1.27s/it, avr_loss=0.0825]
steps:  17%|█▋        | 750/4288 [15:53<1:14:57,  1.27s/it, avr_loss=0.0826]
steps:  18%|█▊        | 751/4288 [15:54<1:14:55,  1.27s/it, avr_loss=0.0826]
steps:  18%|█▊        | 751/4288 [15:54<1:14:55,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 752/4288 [15:55<1:14:53,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 752/4288 [15:55<1:14:53,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 753/4288 [15:56<1:14:52,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 753/4288 [15:56<1:14:52,  1.27s/it, avr_loss=0.0826]
steps:  18%|█▊        | 754/4288 [15:58<1:14:50,  1.27s/it, avr_loss=0.0826]
steps:  18%|█▊        | 754/4288 [15:58<1:14:50,  1.27s/it, avr_loss=0.0826]
steps:  18%|█▊        | 755/4288 [15:59<1:14:48,  1.27s/it, avr_loss=0.0826]
steps:  18%|█▊        | 755/4288 [15:59<1:14:48,  1.27s/it, avr_loss=0.0828]
steps:  18%|█▊        | 756/4288 [16:00<1:14:47,  1.27s/it, avr_loss=0.0828]
steps:  18%|█▊        | 756/4288 [16:00<1:14:47,  1.27s/it, avr_loss=0.0828]
steps:  18%|█▊        | 757/4288 [16:01<1:14:45,  1.27s/it, avr_loss=0.0828]
steps:  18%|█▊        | 757/4288 [16:01<1:14:45,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 758/4288 [16:02<1:14:44,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 758/4288 [16:02<1:14:44,  1.27s/it, avr_loss=0.0824]
steps:  18%|█▊        | 759/4288 [16:04<1:14:42,  1.27s/it, avr_loss=0.0824]
steps:  18%|█▊        | 759/4288 [16:04<1:14:42,  1.27s/it, avr_loss=0.0824]
steps:  18%|█▊        | 760/4288 [16:05<1:14:41,  1.27s/it, avr_loss=0.0824]
steps:  18%|█▊        | 760/4288 [16:05<1:14:41,  1.27s/it, avr_loss=0.0824]
steps:  18%|█▊        | 761/4288 [16:06<1:14:40,  1.27s/it, avr_loss=0.0824]
steps:  18%|█▊        | 761/4288 [16:06<1:14:40,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 762/4288 [16:07<1:14:38,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 762/4288 [16:07<1:14:38,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 763/4288 [16:09<1:14:37,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 763/4288 [16:09<1:14:37,  1.27s/it, avr_loss=0.0824]
steps:  18%|█▊        | 764/4288 [16:10<1:14:35,  1.27s/it, avr_loss=0.0824]
steps:  18%|█▊        | 764/4288 [16:10<1:14:35,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 765/4288 [16:11<1:14:34,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 765/4288 [16:11<1:14:34,  1.27s/it, avr_loss=0.0822]
steps:  18%|█▊        | 766/4288 [16:12<1:14:33,  1.27s/it, avr_loss=0.0822]
steps:  18%|█▊        | 766/4288 [16:12<1:14:33,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 767/4288 [16:14<1:14:32,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 767/4288 [16:14<1:14:32,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 768/4288 [16:15<1:14:30,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 768/4288 [16:15<1:14:30,  1.27s/it, avr_loss=0.0823]
steps:  18%|█▊        | 769/4288 [16:16<1:14:29,  1.27s/it, avr_loss=0.0823]
steps:  18%|█▊        | 769/4288 [16:16<1:14:29,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 770/4288 [16:17<1:14:28,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 770/4288 [16:17<1:14:28,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 771/4288 [16:19<1:14:26,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 771/4288 [16:19<1:14:26,  1.27s/it, avr_loss=0.082] 
steps:  18%|█▊        | 772/4288 [16:20<1:14:25,  1.27s/it, avr_loss=0.082]
steps:  18%|█▊        | 772/4288 [16:20<1:14:25,  1.27s/it, avr_loss=0.0824]
steps:  18%|█▊        | 773/4288 [16:22<1:14:25,  1.27s/it, avr_loss=0.0824]
steps:  18%|█▊        | 773/4288 [16:22<1:14:25,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 774/4288 [16:23<1:14:24,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 774/4288 [16:23<1:14:24,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 775/4288 [16:24<1:14:22,  1.27s/it, avr_loss=0.0825]
steps:  18%|█▊        | 775/4288 [16:24<1:14:22,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 776/4288 [16:25<1:14:20,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 776/4288 [16:25<1:14:20,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 777/4288 [16:26<1:14:19,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 777/4288 [16:26<1:14:19,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 778/4288 [16:28<1:14:18,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 778/4288 [16:28<1:14:18,  1.27s/it, avr_loss=0.0823]
steps:  18%|█▊        | 779/4288 [16:29<1:14:16,  1.27s/it, avr_loss=0.0823]
steps:  18%|█▊        | 779/4288 [16:29<1:14:16,  1.27s/it, avr_loss=0.0818]
steps:  18%|█▊        | 780/4288 [16:30<1:14:15,  1.27s/it, avr_loss=0.0818]
steps:  18%|█▊        | 780/4288 [16:30<1:14:15,  1.27s/it, avr_loss=0.0816]
steps:  18%|█▊        | 781/4288 [16:31<1:14:14,  1.27s/it, avr_loss=0.0816]
steps:  18%|█▊        | 781/4288 [16:31<1:14:14,  1.27s/it, avr_loss=0.0817]
steps:  18%|█▊        | 782/4288 [16:33<1:14:12,  1.27s/it, avr_loss=0.0817]
steps:  18%|█▊        | 782/4288 [16:33<1:14:12,  1.27s/it, avr_loss=0.0817]
steps:  18%|█▊        | 783/4288 [16:34<1:14:11,  1.27s/it, avr_loss=0.0817]
steps:  18%|█▊        | 783/4288 [16:34<1:14:11,  1.27s/it, avr_loss=0.082] 
steps:  18%|█▊        | 784/4288 [16:35<1:14:10,  1.27s/it, avr_loss=0.082]
steps:  18%|█▊        | 784/4288 [16:35<1:14:10,  1.27s/it, avr_loss=0.082]
steps:  18%|█▊        | 785/4288 [16:37<1:14:09,  1.27s/it, avr_loss=0.082]
steps:  18%|█▊        | 785/4288 [16:37<1:14:09,  1.27s/it, avr_loss=0.0818]
steps:  18%|█▊        | 786/4288 [16:38<1:14:08,  1.27s/it, avr_loss=0.0818]
steps:  18%|█▊        | 786/4288 [16:38<1:14:08,  1.27s/it, avr_loss=0.0816]
steps:  18%|█▊        | 787/4288 [16:39<1:14:06,  1.27s/it, avr_loss=0.0816]
steps:  18%|█▊        | 787/4288 [16:39<1:14:06,  1.27s/it, avr_loss=0.0817]
steps:  18%|█▊        | 788/4288 [16:40<1:14:05,  1.27s/it, avr_loss=0.0817]
steps:  18%|█▊        | 788/4288 [16:40<1:14:05,  1.27s/it, avr_loss=0.0819]
steps:  18%|█▊        | 789/4288 [16:42<1:14:04,  1.27s/it, avr_loss=0.0819]
steps:  18%|█▊        | 789/4288 [16:42<1:14:04,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 790/4288 [16:43<1:14:02,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 790/4288 [16:43<1:14:02,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 791/4288 [16:44<1:14:01,  1.27s/it, avr_loss=0.0821]
steps:  18%|█▊        | 791/4288 [16:44<1:14:01,  1.27s/it, avr_loss=0.0827]
steps:  18%|█▊        | 792/4288 [16:46<1:14:00,  1.27s/it, avr_loss=0.0827]
steps:  18%|█▊        | 792/4288 [16:46<1:14:00,  1.27s/it, avr_loss=0.0826]
steps:  18%|█▊        | 793/4288 [16:47<1:13:59,  1.27s/it, avr_loss=0.0826]
steps:  18%|█▊        | 793/4288 [16:47<1:13:59,  1.27s/it, avr_loss=0.0828]
steps:  19%|█▊        | 794/4288 [16:48<1:13:57,  1.27s/it, avr_loss=0.0828]
steps:  19%|█▊        | 794/4288 [16:48<1:13:57,  1.27s/it, avr_loss=0.0831]
steps:  19%|█▊        | 795/4288 [16:49<1:13:56,  1.27s/it, avr_loss=0.0831]
steps:  19%|█▊        | 795/4288 [16:49<1:13:56,  1.27s/it, avr_loss=0.0831]
steps:  19%|█▊        | 796/4288 [16:50<1:13:55,  1.27s/it, avr_loss=0.0831]
steps:  19%|█▊        | 796/4288 [16:50<1:13:55,  1.27s/it, avr_loss=0.083] 
steps:  19%|█▊        | 797/4288 [16:52<1:13:53,  1.27s/it, avr_loss=0.083]
steps:  19%|█▊        | 797/4288 [16:52<1:13:53,  1.27s/it, avr_loss=0.083]
steps:  19%|█▊        | 798/4288 [16:53<1:13:52,  1.27s/it, avr_loss=0.083]
steps:  19%|█▊        | 798/4288 [16:53<1:13:52,  1.27s/it, avr_loss=0.0832]
steps:  19%|█▊        | 799/4288 [16:54<1:13:51,  1.27s/it, avr_loss=0.0832]
steps:  19%|█▊        | 799/4288 [16:54<1:13:51,  1.27s/it, avr_loss=0.0828]
steps:  19%|█▊        | 800/4288 [16:55<1:13:48,  1.27s/it, avr_loss=0.0828]
steps:  19%|█▊        | 800/4288 [16:55<1:13:48,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▊        | 801/4288 [16:56<1:13:47,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▊        | 801/4288 [16:56<1:13:47,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▊        | 802/4288 [16:58<1:13:46,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▊        | 802/4288 [16:58<1:13:46,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▊        | 803/4288 [16:59<1:13:44,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▊        | 803/4288 [16:59<1:13:44,  1.27s/it, avr_loss=0.0829]
steps:  19%|█▉        | 804/4288 [17:00<1:13:43,  1.27s/it, avr_loss=0.0829]
steps:  19%|█▉        | 804/4288 [17:00<1:13:43,  1.27s/it, avr_loss=0.0828]2026-07-24 13:52:41 INFO     epoch is incremented. current_epoch: dataset.py:464
                             3, epoch: 4                                        
2026-07-24 13:52:41 INFO     epoch is incremented. current_epoch: dataset.py:464
                             3, epoch: 4                                        

steps:  19%|█▉        | 805/4288 [17:01<1:13:41,  1.27s/it, avr_loss=0.0828]
steps:  19%|█▉        | 805/4288 [17:01<1:13:41,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▉        | 806/4288 [17:03<1:13:40,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▉        | 806/4288 [17:03<1:13:40,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▉        | 807/4288 [17:04<1:13:39,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▉        | 807/4288 [17:04<1:13:39,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▉        | 808/4288 [17:05<1:13:38,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▉        | 808/4288 [17:05<1:13:38,  1.27s/it, avr_loss=0.083] 
steps:  19%|█▉        | 809/4288 [17:07<1:13:36,  1.27s/it, avr_loss=0.083]
steps:  19%|█▉        | 809/4288 [17:07<1:13:36,  1.27s/it, avr_loss=0.0824]
steps:  19%|█▉        | 810/4288 [17:08<1:13:35,  1.27s/it, avr_loss=0.0824]
steps:  19%|█▉        | 810/4288 [17:08<1:13:35,  1.27s/it, avr_loss=0.0822]
steps:  19%|█▉        | 811/4288 [17:09<1:13:34,  1.27s/it, avr_loss=0.0822]
steps:  19%|█▉        | 811/4288 [17:09<1:13:34,  1.27s/it, avr_loss=0.0823]
steps:  19%|█▉        | 812/4288 [17:11<1:13:33,  1.27s/it, avr_loss=0.0823]
steps:  19%|█▉        | 812/4288 [17:11<1:13:33,  1.27s/it, avr_loss=0.0823]
steps:  19%|█▉        | 813/4288 [17:12<1:13:32,  1.27s/it, avr_loss=0.0823]
steps:  19%|█▉        | 813/4288 [17:12<1:13:32,  1.27s/it, avr_loss=0.0823]
steps:  19%|█▉        | 814/4288 [17:13<1:13:31,  1.27s/it, avr_loss=0.0823]
steps:  19%|█▉        | 814/4288 [17:13<1:13:31,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 815/4288 [17:14<1:13:30,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 815/4288 [17:14<1:13:30,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 816/4288 [17:16<1:13:28,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 816/4288 [17:16<1:13:28,  1.27s/it, avr_loss=0.0826]
steps:  19%|█▉        | 817/4288 [17:17<1:13:27,  1.27s/it, avr_loss=0.0826]
steps:  19%|█▉        | 817/4288 [17:17<1:13:27,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▉        | 818/4288 [17:18<1:13:25,  1.27s/it, avr_loss=0.0827]
steps:  19%|█▉        | 818/4288 [17:18<1:13:25,  1.27s/it, avr_loss=0.0826]
steps:  19%|█▉        | 819/4288 [17:19<1:13:24,  1.27s/it, avr_loss=0.0826]
steps:  19%|█▉        | 819/4288 [17:19<1:13:24,  1.27s/it, avr_loss=0.0823]
steps:  19%|█▉        | 820/4288 [17:21<1:13:23,  1.27s/it, avr_loss=0.0823]
steps:  19%|█▉        | 820/4288 [17:21<1:13:23,  1.27s/it, avr_loss=0.0824]
steps:  19%|█▉        | 821/4288 [17:22<1:13:22,  1.27s/it, avr_loss=0.0824]
steps:  19%|█▉        | 821/4288 [17:22<1:13:22,  1.27s/it, avr_loss=0.0824]
steps:  19%|█▉        | 822/4288 [17:23<1:13:21,  1.27s/it, avr_loss=0.0824]
steps:  19%|█▉        | 822/4288 [17:23<1:13:21,  1.27s/it, avr_loss=0.0828]
steps:  19%|█▉        | 823/4288 [17:25<1:13:19,  1.27s/it, avr_loss=0.0828]
steps:  19%|█▉        | 823/4288 [17:25<1:13:19,  1.27s/it, avr_loss=0.0829]
steps:  19%|█▉        | 824/4288 [17:26<1:13:18,  1.27s/it, avr_loss=0.0829]
steps:  19%|█▉        | 824/4288 [17:26<1:13:18,  1.27s/it, avr_loss=0.083] 
steps:  19%|█▉        | 825/4288 [17:27<1:13:17,  1.27s/it, avr_loss=0.083]
steps:  19%|█▉        | 825/4288 [17:27<1:13:17,  1.27s/it, avr_loss=0.0826]
steps:  19%|█▉        | 826/4288 [17:28<1:13:16,  1.27s/it, avr_loss=0.0826]
steps:  19%|█▉        | 826/4288 [17:28<1:13:16,  1.27s/it, avr_loss=0.0826]
steps:  19%|█▉        | 827/4288 [17:30<1:13:15,  1.27s/it, avr_loss=0.0826]
steps:  19%|█▉        | 827/4288 [17:30<1:13:15,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 828/4288 [17:31<1:13:14,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 828/4288 [17:31<1:13:14,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 829/4288 [17:32<1:13:12,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 829/4288 [17:32<1:13:12,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 830/4288 [17:34<1:13:11,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 830/4288 [17:34<1:13:11,  1.27s/it, avr_loss=0.0824]
steps:  19%|█▉        | 831/4288 [17:35<1:13:09,  1.27s/it, avr_loss=0.0824]
steps:  19%|█▉        | 831/4288 [17:35<1:13:09,  1.27s/it, avr_loss=0.0823]
steps:  19%|█▉        | 832/4288 [17:36<1:13:08,  1.27s/it, avr_loss=0.0823]
steps:  19%|█▉        | 832/4288 [17:36<1:13:08,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 833/4288 [17:37<1:13:07,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 833/4288 [17:37<1:13:07,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 834/4288 [17:39<1:13:06,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 834/4288 [17:39<1:13:06,  1.27s/it, avr_loss=0.0826]
steps:  19%|█▉        | 835/4288 [17:40<1:13:05,  1.27s/it, avr_loss=0.0826]
steps:  19%|█▉        | 835/4288 [17:40<1:13:05,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 836/4288 [17:41<1:13:04,  1.27s/it, avr_loss=0.0825]
steps:  19%|█▉        | 836/4288 [17:41<1:13:04,  1.27s/it, avr_loss=0.0826]
steps:  20%|█▉        | 837/4288 [17:43<1:13:03,  1.27s/it, avr_loss=0.0826]
steps:  20%|█▉        | 837/4288 [17:43<1:13:03,  1.27s/it, avr_loss=0.0828]
steps:  20%|█▉        | 838/4288 [17:44<1:13:02,  1.27s/it, avr_loss=0.0828]
steps:  20%|█▉        | 838/4288 [17:44<1:13:02,  1.27s/it, avr_loss=0.083] 
steps:  20%|█▉        | 839/4288 [17:45<1:13:00,  1.27s/it, avr_loss=0.083]
steps:  20%|█▉        | 839/4288 [17:45<1:13:00,  1.27s/it, avr_loss=0.0828]
steps:  20%|█▉        | 840/4288 [17:46<1:12:59,  1.27s/it, avr_loss=0.0828]
steps:  20%|█▉        | 840/4288 [17:46<1:12:59,  1.27s/it, avr_loss=0.0829]
steps:  20%|█▉        | 841/4288 [17:48<1:12:57,  1.27s/it, avr_loss=0.0829]
steps:  20%|█▉        | 841/4288 [17:48<1:12:57,  1.27s/it, avr_loss=0.0828]
steps:  20%|█▉        | 842/4288 [17:49<1:12:56,  1.27s/it, avr_loss=0.0828]
steps:  20%|█▉        | 842/4288 [17:49<1:12:56,  1.27s/it, avr_loss=0.0826]
steps:  20%|█▉        | 843/4288 [17:50<1:12:55,  1.27s/it, avr_loss=0.0826]
steps:  20%|█▉        | 843/4288 [17:50<1:12:55,  1.27s/it, avr_loss=0.0822]
steps:  20%|█▉        | 844/4288 [17:51<1:12:53,  1.27s/it, avr_loss=0.0822]
steps:  20%|█▉        | 844/4288 [17:51<1:12:53,  1.27s/it, avr_loss=0.0823]
steps:  20%|█▉        | 845/4288 [17:53<1:12:52,  1.27s/it, avr_loss=0.0823]
steps:  20%|█▉        | 845/4288 [17:53<1:12:52,  1.27s/it, avr_loss=0.0824]
steps:  20%|█▉        | 846/4288 [17:54<1:12:51,  1.27s/it, avr_loss=0.0824]
steps:  20%|█▉        | 846/4288 [17:54<1:12:51,  1.27s/it, avr_loss=0.0823]
steps:  20%|█▉        | 847/4288 [17:55<1:12:50,  1.27s/it, avr_loss=0.0823]
steps:  20%|█▉        | 847/4288 [17:55<1:12:50,  1.27s/it, avr_loss=0.0822]
steps:  20%|█▉        | 848/4288 [17:56<1:12:48,  1.27s/it, avr_loss=0.0822]
steps:  20%|█▉        | 848/4288 [17:56<1:12:48,  1.27s/it, avr_loss=0.0822]
steps:  20%|█▉        | 849/4288 [17:58<1:12:47,  1.27s/it, avr_loss=0.0822]
steps:  20%|█▉        | 849/4288 [17:58<1:12:47,  1.27s/it, avr_loss=0.083] 
steps:  20%|█▉        | 850/4288 [17:59<1:12:46,  1.27s/it, avr_loss=0.083]
steps:  20%|█▉        | 850/4288 [17:59<1:12:46,  1.27s/it, avr_loss=0.0831]
steps:  20%|█▉        | 851/4288 [18:01<1:12:45,  1.27s/it, avr_loss=0.0831]
steps:  20%|█▉        | 851/4288 [18:01<1:12:45,  1.27s/it, avr_loss=0.0831]
steps:  20%|█▉        | 852/4288 [18:02<1:12:44,  1.27s/it, avr_loss=0.0831]
steps:  20%|█▉        | 852/4288 [18:02<1:12:44,  1.27s/it, avr_loss=0.083] 
steps:  20%|█▉        | 853/4288 [18:03<1:12:43,  1.27s/it, avr_loss=0.083]
steps:  20%|█▉        | 853/4288 [18:03<1:12:43,  1.27s/it, avr_loss=0.0831]
steps:  20%|█▉        | 854/4288 [18:04<1:12:42,  1.27s/it, avr_loss=0.0831]
steps:  20%|█▉        | 854/4288 [18:04<1:12:42,  1.27s/it, avr_loss=0.0822]
steps:  20%|█▉        | 855/4288 [18:06<1:12:41,  1.27s/it, avr_loss=0.0822]
steps:  20%|█▉        | 855/4288 [18:06<1:12:41,  1.27s/it, avr_loss=0.0821]
steps:  20%|█▉        | 856/4288 [18:07<1:12:39,  1.27s/it, avr_loss=0.0821]
steps:  20%|█▉        | 856/4288 [18:07<1:12:39,  1.27s/it, avr_loss=0.0824]
steps:  20%|█▉        | 857/4288 [18:08<1:12:38,  1.27s/it, avr_loss=0.0824]
steps:  20%|█▉        | 857/4288 [18:08<1:12:38,  1.27s/it, avr_loss=0.0825]
steps:  20%|██        | 858/4288 [18:09<1:12:36,  1.27s/it, avr_loss=0.0825]
steps:  20%|██        | 858/4288 [18:09<1:12:36,  1.27s/it, avr_loss=0.0827]
steps:  20%|██        | 859/4288 [18:11<1:12:35,  1.27s/it, avr_loss=0.0827]
steps:  20%|██        | 859/4288 [18:11<1:12:35,  1.27s/it, avr_loss=0.0826]
steps:  20%|██        | 860/4288 [18:12<1:12:34,  1.27s/it, avr_loss=0.0826]
steps:  20%|██        | 860/4288 [18:12<1:12:34,  1.27s/it, avr_loss=0.0825]
steps:  20%|██        | 861/4288 [18:13<1:12:32,  1.27s/it, avr_loss=0.0825]
steps:  20%|██        | 861/4288 [18:13<1:12:32,  1.27s/it, avr_loss=0.0825]
steps:  20%|██        | 862/4288 [18:14<1:12:31,  1.27s/it, avr_loss=0.0825]
steps:  20%|██        | 862/4288 [18:14<1:12:31,  1.27s/it, avr_loss=0.0826]
steps:  20%|██        | 863/4288 [18:16<1:12:30,  1.27s/it, avr_loss=0.0826]
steps:  20%|██        | 863/4288 [18:16<1:12:30,  1.27s/it, avr_loss=0.0828]
steps:  20%|██        | 864/4288 [18:17<1:12:29,  1.27s/it, avr_loss=0.0828]
steps:  20%|██        | 864/4288 [18:17<1:12:29,  1.27s/it, avr_loss=0.0825]
steps:  20%|██        | 865/4288 [18:18<1:12:27,  1.27s/it, avr_loss=0.0825]
steps:  20%|██        | 865/4288 [18:18<1:12:27,  1.27s/it, avr_loss=0.0826]
steps:  20%|██        | 866/4288 [18:19<1:12:26,  1.27s/it, avr_loss=0.0826]
steps:  20%|██        | 866/4288 [18:19<1:12:26,  1.27s/it, avr_loss=0.0827]
steps:  20%|██        | 867/4288 [18:21<1:12:24,  1.27s/it, avr_loss=0.0827]
steps:  20%|██        | 867/4288 [18:21<1:12:24,  1.27s/it, avr_loss=0.0826]
steps:  20%|██        | 868/4288 [18:22<1:12:23,  1.27s/it, avr_loss=0.0826]
steps:  20%|██        | 868/4288 [18:22<1:12:23,  1.27s/it, avr_loss=0.0828]
steps:  20%|██        | 869/4288 [18:23<1:12:22,  1.27s/it, avr_loss=0.0828]
steps:  20%|██        | 869/4288 [18:23<1:12:22,  1.27s/it, avr_loss=0.0829]
steps:  20%|██        | 870/4288 [18:24<1:12:20,  1.27s/it, avr_loss=0.0829]
steps:  20%|██        | 870/4288 [18:24<1:12:20,  1.27s/it, avr_loss=0.0831]
steps:  20%|██        | 871/4288 [18:26<1:12:19,  1.27s/it, avr_loss=0.0831]
steps:  20%|██        | 871/4288 [18:26<1:12:19,  1.27s/it, avr_loss=0.0832]
steps:  20%|██        | 872/4288 [18:27<1:12:17,  1.27s/it, avr_loss=0.0832]
steps:  20%|██        | 872/4288 [18:27<1:12:17,  1.27s/it, avr_loss=0.0831]
steps:  20%|██        | 873/4288 [18:28<1:12:16,  1.27s/it, avr_loss=0.0831]
steps:  20%|██        | 873/4288 [18:28<1:12:16,  1.27s/it, avr_loss=0.0832]
steps:  20%|██        | 874/4288 [18:29<1:12:15,  1.27s/it, avr_loss=0.0832]
steps:  20%|██        | 874/4288 [18:29<1:12:15,  1.27s/it, avr_loss=0.0835]
steps:  20%|██        | 875/4288 [18:31<1:12:13,  1.27s/it, avr_loss=0.0835]
steps:  20%|██        | 875/4288 [18:31<1:12:13,  1.27s/it, avr_loss=0.0835]
steps:  20%|██        | 876/4288 [18:32<1:12:12,  1.27s/it, avr_loss=0.0835]
steps:  20%|██        | 876/4288 [18:32<1:12:12,  1.27s/it, avr_loss=0.0836]
steps:  20%|██        | 877/4288 [18:33<1:12:11,  1.27s/it, avr_loss=0.0836]
steps:  20%|██        | 877/4288 [18:33<1:12:11,  1.27s/it, avr_loss=0.0837]
steps:  20%|██        | 878/4288 [18:34<1:12:09,  1.27s/it, avr_loss=0.0837]
steps:  20%|██        | 878/4288 [18:34<1:12:09,  1.27s/it, avr_loss=0.0838]
steps:  20%|██        | 879/4288 [18:36<1:12:08,  1.27s/it, avr_loss=0.0838]
steps:  20%|██        | 879/4288 [18:36<1:12:08,  1.27s/it, avr_loss=0.0836]
steps:  21%|██        | 880/4288 [18:37<1:12:06,  1.27s/it, avr_loss=0.0836]
steps:  21%|██        | 880/4288 [18:37<1:12:06,  1.27s/it, avr_loss=0.0837]
steps:  21%|██        | 881/4288 [18:38<1:12:05,  1.27s/it, avr_loss=0.0837]
steps:  21%|██        | 881/4288 [18:38<1:12:05,  1.27s/it, avr_loss=0.0839]
steps:  21%|██        | 882/4288 [18:39<1:12:04,  1.27s/it, avr_loss=0.0839]
steps:  21%|██        | 882/4288 [18:39<1:12:04,  1.27s/it, avr_loss=0.084] 
steps:  21%|██        | 883/4288 [18:41<1:12:03,  1.27s/it, avr_loss=0.084]
steps:  21%|██        | 883/4288 [18:41<1:12:03,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 884/4288 [18:42<1:12:02,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 884/4288 [18:42<1:12:02,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 885/4288 [18:43<1:12:01,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 885/4288 [18:43<1:12:01,  1.27s/it, avr_loss=0.0839]
steps:  21%|██        | 886/4288 [18:45<1:12:00,  1.27s/it, avr_loss=0.0839]
steps:  21%|██        | 886/4288 [18:45<1:12:00,  1.27s/it, avr_loss=0.084] 
steps:  21%|██        | 887/4288 [18:46<1:11:58,  1.27s/it, avr_loss=0.084]
steps:  21%|██        | 887/4288 [18:46<1:11:58,  1.27s/it, avr_loss=0.0842]
steps:  21%|██        | 888/4288 [18:47<1:11:57,  1.27s/it, avr_loss=0.0842]
steps:  21%|██        | 888/4288 [18:47<1:11:57,  1.27s/it, avr_loss=0.0842]
steps:  21%|██        | 889/4288 [18:48<1:11:55,  1.27s/it, avr_loss=0.0842]
steps:  21%|██        | 889/4288 [18:48<1:11:55,  1.27s/it, avr_loss=0.0843]
steps:  21%|██        | 890/4288 [18:50<1:11:54,  1.27s/it, avr_loss=0.0843]
steps:  21%|██        | 890/4288 [18:50<1:11:54,  1.27s/it, avr_loss=0.0843]
steps:  21%|██        | 891/4288 [18:51<1:11:53,  1.27s/it, avr_loss=0.0843]
steps:  21%|██        | 891/4288 [18:51<1:11:53,  1.27s/it, avr_loss=0.0842]
steps:  21%|██        | 892/4288 [18:52<1:11:51,  1.27s/it, avr_loss=0.0842]
steps:  21%|██        | 892/4288 [18:52<1:11:51,  1.27s/it, avr_loss=0.0834]
steps:  21%|██        | 893/4288 [18:53<1:11:50,  1.27s/it, avr_loss=0.0834]
steps:  21%|██        | 893/4288 [18:53<1:11:50,  1.27s/it, avr_loss=0.0835]
steps:  21%|██        | 894/4288 [18:55<1:11:49,  1.27s/it, avr_loss=0.0835]
steps:  21%|██        | 894/4288 [18:55<1:11:49,  1.27s/it, avr_loss=0.0835]
steps:  21%|██        | 895/4288 [18:56<1:11:47,  1.27s/it, avr_loss=0.0835]
steps:  21%|██        | 895/4288 [18:56<1:11:47,  1.27s/it, avr_loss=0.0834]
steps:  21%|██        | 896/4288 [18:57<1:11:46,  1.27s/it, avr_loss=0.0834]
steps:  21%|██        | 896/4288 [18:57<1:11:46,  1.27s/it, avr_loss=0.0832]
steps:  21%|██        | 897/4288 [18:58<1:11:44,  1.27s/it, avr_loss=0.0832]
steps:  21%|██        | 897/4288 [18:58<1:11:44,  1.27s/it, avr_loss=0.0834]
steps:  21%|██        | 898/4288 [18:59<1:11:43,  1.27s/it, avr_loss=0.0834]
steps:  21%|██        | 898/4288 [18:59<1:11:43,  1.27s/it, avr_loss=0.0832]
steps:  21%|██        | 899/4288 [19:01<1:11:41,  1.27s/it, avr_loss=0.0832]
steps:  21%|██        | 899/4288 [19:01<1:11:41,  1.27s/it, avr_loss=0.0834]
steps:  21%|██        | 900/4288 [19:02<1:11:40,  1.27s/it, avr_loss=0.0834]
steps:  21%|██        | 900/4288 [19:02<1:11:40,  1.27s/it, avr_loss=0.0835]
steps:  21%|██        | 901/4288 [19:03<1:11:38,  1.27s/it, avr_loss=0.0835]
steps:  21%|██        | 901/4288 [19:03<1:11:38,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 902/4288 [19:04<1:11:37,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 902/4288 [19:04<1:11:37,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 903/4288 [19:06<1:11:37,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 903/4288 [19:06<1:11:37,  1.27s/it, avr_loss=0.0835]
steps:  21%|██        | 904/4288 [19:07<1:11:36,  1.27s/it, avr_loss=0.0835]
steps:  21%|██        | 904/4288 [19:07<1:11:36,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 905/4288 [19:08<1:11:35,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 905/4288 [19:09<1:11:35,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 906/4288 [19:10<1:11:34,  1.27s/it, avr_loss=0.0838]
steps:  21%|██        | 906/4288 [19:10<1:11:34,  1.27s/it, avr_loss=0.084] 
steps:  21%|██        | 907/4288 [19:11<1:11:32,  1.27s/it, avr_loss=0.084]
steps:  21%|██        | 907/4288 [19:11<1:11:32,  1.27s/it, avr_loss=0.084]
steps:  21%|██        | 908/4288 [19:12<1:11:31,  1.27s/it, avr_loss=0.084]
steps:  21%|██        | 908/4288 [19:12<1:11:31,  1.27s/it, avr_loss=0.0842]
steps:  21%|██        | 909/4288 [19:14<1:11:29,  1.27s/it, avr_loss=0.0842]
steps:  21%|██        | 909/4288 [19:14<1:11:29,  1.27s/it, avr_loss=0.0842]
steps:  21%|██        | 910/4288 [19:15<1:11:28,  1.27s/it, avr_loss=0.0842]
steps:  21%|██        | 910/4288 [19:15<1:11:28,  1.27s/it, avr_loss=0.0843]
steps:  21%|██        | 911/4288 [19:16<1:11:26,  1.27s/it, avr_loss=0.0843]
steps:  21%|██        | 911/4288 [19:16<1:11:26,  1.27s/it, avr_loss=0.0843]
steps:  21%|██▏       | 912/4288 [19:17<1:11:25,  1.27s/it, avr_loss=0.0843]
steps:  21%|██▏       | 912/4288 [19:17<1:11:25,  1.27s/it, avr_loss=0.0845]
steps:  21%|██▏       | 913/4288 [19:19<1:11:24,  1.27s/it, avr_loss=0.0845]
steps:  21%|██▏       | 913/4288 [19:19<1:11:24,  1.27s/it, avr_loss=0.0844]
steps:  21%|██▏       | 914/4288 [19:20<1:11:23,  1.27s/it, avr_loss=0.0844]
steps:  21%|██▏       | 914/4288 [19:20<1:11:23,  1.27s/it, avr_loss=0.0844]
steps:  21%|██▏       | 915/4288 [19:21<1:11:22,  1.27s/it, avr_loss=0.0844]
steps:  21%|██▏       | 915/4288 [19:21<1:11:22,  1.27s/it, avr_loss=0.0842]
steps:  21%|██▏       | 916/4288 [19:23<1:11:21,  1.27s/it, avr_loss=0.0842]
steps:  21%|██▏       | 916/4288 [19:23<1:11:21,  1.27s/it, avr_loss=0.0841]
steps:  21%|██▏       | 917/4288 [19:24<1:11:20,  1.27s/it, avr_loss=0.0841]
steps:  21%|██▏       | 917/4288 [19:24<1:11:20,  1.27s/it, avr_loss=0.084] 
steps:  21%|██▏       | 918/4288 [19:25<1:11:18,  1.27s/it, avr_loss=0.084]
steps:  21%|██▏       | 918/4288 [19:25<1:11:18,  1.27s/it, avr_loss=0.084]
steps:  21%|██▏       | 919/4288 [19:26<1:11:17,  1.27s/it, avr_loss=0.084]
steps:  21%|██▏       | 919/4288 [19:26<1:11:17,  1.27s/it, avr_loss=0.0841]
steps:  21%|██▏       | 920/4288 [19:28<1:11:16,  1.27s/it, avr_loss=0.0841]
steps:  21%|██▏       | 920/4288 [19:28<1:11:16,  1.27s/it, avr_loss=0.0841]
steps:  21%|██▏       | 921/4288 [19:29<1:11:14,  1.27s/it, avr_loss=0.0841]
steps:  21%|██▏       | 921/4288 [19:29<1:11:14,  1.27s/it, avr_loss=0.0858]
steps:  22%|██▏       | 922/4288 [19:30<1:11:13,  1.27s/it, avr_loss=0.0858]
steps:  22%|██▏       | 922/4288 [19:30<1:11:13,  1.27s/it, avr_loss=0.0858]
steps:  22%|██▏       | 923/4288 [19:31<1:11:12,  1.27s/it, avr_loss=0.0858]
steps:  22%|██▏       | 923/4288 [19:31<1:11:12,  1.27s/it, avr_loss=0.0856]
steps:  22%|██▏       | 924/4288 [19:33<1:11:11,  1.27s/it, avr_loss=0.0856]
steps:  22%|██▏       | 924/4288 [19:33<1:11:11,  1.27s/it, avr_loss=0.0857]
steps:  22%|██▏       | 925/4288 [19:34<1:11:10,  1.27s/it, avr_loss=0.0857]
steps:  22%|██▏       | 925/4288 [19:34<1:11:10,  1.27s/it, avr_loss=0.0856]
steps:  22%|██▏       | 926/4288 [19:35<1:11:08,  1.27s/it, avr_loss=0.0856]
steps:  22%|██▏       | 926/4288 [19:35<1:11:08,  1.27s/it, avr_loss=0.0857]
steps:  22%|██▏       | 927/4288 [19:36<1:11:06,  1.27s/it, avr_loss=0.0857]
steps:  22%|██▏       | 927/4288 [19:36<1:11:06,  1.27s/it, avr_loss=0.0856]
steps:  22%|██▏       | 928/4288 [19:37<1:11:05,  1.27s/it, avr_loss=0.0856]
steps:  22%|██▏       | 928/4288 [19:37<1:11:05,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 929/4288 [19:39<1:11:04,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 929/4288 [19:39<1:11:04,  1.27s/it, avr_loss=0.0853]
steps:  22%|██▏       | 930/4288 [19:40<1:11:03,  1.27s/it, avr_loss=0.0853]
steps:  22%|██▏       | 930/4288 [19:40<1:11:03,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 931/4288 [19:42<1:11:02,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 931/4288 [19:42<1:11:02,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 932/4288 [19:43<1:11:00,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 932/4288 [19:43<1:11:00,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 933/4288 [19:44<1:10:59,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 933/4288 [19:44<1:10:59,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 934/4288 [19:45<1:10:58,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 934/4288 [19:45<1:10:58,  1.27s/it, avr_loss=0.0856]
steps:  22%|██▏       | 935/4288 [19:47<1:10:57,  1.27s/it, avr_loss=0.0856]
steps:  22%|██▏       | 935/4288 [19:47<1:10:57,  1.27s/it, avr_loss=0.0856]
steps:  22%|██▏       | 936/4288 [19:48<1:10:55,  1.27s/it, avr_loss=0.0856]
steps:  22%|██▏       | 936/4288 [19:48<1:10:55,  1.27s/it, avr_loss=0.0853]
steps:  22%|██▏       | 937/4288 [19:49<1:10:54,  1.27s/it, avr_loss=0.0853]
steps:  22%|██▏       | 937/4288 [19:49<1:10:54,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 938/4288 [19:50<1:10:53,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 938/4288 [19:50<1:10:53,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 939/4288 [19:52<1:10:51,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 939/4288 [19:52<1:10:51,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 940/4288 [19:53<1:10:50,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 940/4288 [19:53<1:10:50,  1.27s/it, avr_loss=0.0857]
steps:  22%|██▏       | 941/4288 [19:54<1:10:48,  1.27s/it, avr_loss=0.0857]
steps:  22%|██▏       | 941/4288 [19:54<1:10:48,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 942/4288 [19:55<1:10:48,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 942/4288 [19:55<1:10:48,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 943/4288 [19:57<1:10:46,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 943/4288 [19:57<1:10:46,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 944/4288 [19:58<1:10:45,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 944/4288 [19:58<1:10:45,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 945/4288 [19:59<1:10:44,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 945/4288 [19:59<1:10:44,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 946/4288 [20:01<1:10:43,  1.27s/it, avr_loss=0.0855]
steps:  22%|██▏       | 946/4288 [20:01<1:10:43,  1.27s/it, avr_loss=0.0852]
steps:  22%|██▏       | 947/4288 [20:02<1:10:42,  1.27s/it, avr_loss=0.0852]
steps:  22%|██▏       | 947/4288 [20:02<1:10:42,  1.27s/it, avr_loss=0.0852]
steps:  22%|██▏       | 948/4288 [20:03<1:10:40,  1.27s/it, avr_loss=0.0852]
steps:  22%|██▏       | 948/4288 [20:03<1:10:40,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 949/4288 [20:05<1:10:39,  1.27s/it, avr_loss=0.0854]
steps:  22%|██▏       | 949/4288 [20:05<1:10:39,  1.27s/it, avr_loss=0.0852]
steps:  22%|██▏       | 950/4288 [20:06<1:10:38,  1.27s/it, avr_loss=0.0852]
steps:  22%|██▏       | 950/4288 [20:06<1:10:38,  1.27s/it, avr_loss=0.085] 
steps:  22%|██▏       | 951/4288 [20:07<1:10:37,  1.27s/it, avr_loss=0.085]
steps:  22%|██▏       | 951/4288 [20:07<1:10:37,  1.27s/it, avr_loss=0.0848]
steps:  22%|██▏       | 952/4288 [20:08<1:10:36,  1.27s/it, avr_loss=0.0848]
steps:  22%|██▏       | 952/4288 [20:08<1:10:36,  1.27s/it, avr_loss=0.0846]
steps:  22%|██▏       | 953/4288 [20:10<1:10:34,  1.27s/it, avr_loss=0.0846]
steps:  22%|██▏       | 953/4288 [20:10<1:10:34,  1.27s/it, avr_loss=0.0848]
steps:  22%|██▏       | 954/4288 [20:11<1:10:33,  1.27s/it, avr_loss=0.0848]
steps:  22%|██▏       | 954/4288 [20:11<1:10:33,  1.27s/it, avr_loss=0.0848]
steps:  22%|██▏       | 955/4288 [20:12<1:10:32,  1.27s/it, avr_loss=0.0848]
steps:  22%|██▏       | 955/4288 [20:12<1:10:32,  1.27s/it, avr_loss=0.085] 
steps:  22%|██▏       | 956/4288 [20:13<1:10:31,  1.27s/it, avr_loss=0.085]
steps:  22%|██▏       | 956/4288 [20:13<1:10:31,  1.27s/it, avr_loss=0.0851]
steps:  22%|██▏       | 957/4288 [20:15<1:10:29,  1.27s/it, avr_loss=0.0851]
steps:  22%|██▏       | 957/4288 [20:15<1:10:29,  1.27s/it, avr_loss=0.0848]
steps:  22%|██▏       | 958/4288 [20:16<1:10:28,  1.27s/it, avr_loss=0.0848]
steps:  22%|██▏       | 958/4288 [20:16<1:10:28,  1.27s/it, avr_loss=0.0849]
steps:  22%|██▏       | 959/4288 [20:17<1:10:27,  1.27s/it, avr_loss=0.0849]
steps:  22%|██▏       | 959/4288 [20:17<1:10:27,  1.27s/it, avr_loss=0.0849]
steps:  22%|██▏       | 960/4288 [20:19<1:10:26,  1.27s/it, avr_loss=0.0849]
steps:  22%|██▏       | 960/4288 [20:19<1:10:26,  1.27s/it, avr_loss=0.0848]
steps:  22%|██▏       | 961/4288 [20:20<1:10:24,  1.27s/it, avr_loss=0.0848]
steps:  22%|██▏       | 961/4288 [20:20<1:10:24,  1.27s/it, avr_loss=0.0847]
steps:  22%|██▏       | 962/4288 [20:21<1:10:22,  1.27s/it, avr_loss=0.0847]
steps:  22%|██▏       | 962/4288 [20:21<1:10:22,  1.27s/it, avr_loss=0.0846]
steps:  22%|██▏       | 963/4288 [20:22<1:10:21,  1.27s/it, avr_loss=0.0846]
steps:  22%|██▏       | 963/4288 [20:22<1:10:21,  1.27s/it, avr_loss=0.0846]
steps:  22%|██▏       | 964/4288 [20:24<1:10:21,  1.27s/it, avr_loss=0.0846]
steps:  22%|██▏       | 964/4288 [20:24<1:10:21,  1.27s/it, avr_loss=0.0846]
steps:  23%|██▎       | 965/4288 [20:25<1:10:19,  1.27s/it, avr_loss=0.0846]
steps:  23%|██▎       | 965/4288 [20:25<1:10:19,  1.27s/it, avr_loss=0.0847]
steps:  23%|██▎       | 966/4288 [20:26<1:10:18,  1.27s/it, avr_loss=0.0847]
steps:  23%|██▎       | 966/4288 [20:26<1:10:18,  1.27s/it, avr_loss=0.0848]
steps:  23%|██▎       | 967/4288 [20:27<1:10:17,  1.27s/it, avr_loss=0.0848]
steps:  23%|██▎       | 967/4288 [20:27<1:10:17,  1.27s/it, avr_loss=0.0848]
steps:  23%|██▎       | 968/4288 [20:29<1:10:16,  1.27s/it, avr_loss=0.0848]
steps:  23%|██▎       | 968/4288 [20:29<1:10:16,  1.27s/it, avr_loss=0.0848]
steps:  23%|██▎       | 969/4288 [20:30<1:10:15,  1.27s/it, avr_loss=0.0848]
steps:  23%|██▎       | 969/4288 [20:30<1:10:15,  1.27s/it, avr_loss=0.0846]
steps:  23%|██▎       | 970/4288 [20:31<1:10:14,  1.27s/it, avr_loss=0.0846]
steps:  23%|██▎       | 970/4288 [20:31<1:10:14,  1.27s/it, avr_loss=0.0846]
steps:  23%|██▎       | 971/4288 [20:33<1:10:12,  1.27s/it, avr_loss=0.0846]
steps:  23%|██▎       | 971/4288 [20:33<1:10:12,  1.27s/it, avr_loss=0.0847]
steps:  23%|██▎       | 972/4288 [20:34<1:10:11,  1.27s/it, avr_loss=0.0847]
steps:  23%|██▎       | 972/4288 [20:34<1:10:11,  1.27s/it, avr_loss=0.0851]
steps:  23%|██▎       | 973/4288 [20:35<1:10:09,  1.27s/it, avr_loss=0.0851]
steps:  23%|██▎       | 973/4288 [20:35<1:10:09,  1.27s/it, avr_loss=0.0858]
steps:  23%|██▎       | 974/4288 [20:36<1:10:08,  1.27s/it, avr_loss=0.0858]
steps:  23%|██▎       | 974/4288 [20:36<1:10:08,  1.27s/it, avr_loss=0.0859]
steps:  23%|██▎       | 975/4288 [20:38<1:10:07,  1.27s/it, avr_loss=0.0859]
steps:  23%|██▎       | 975/4288 [20:38<1:10:07,  1.27s/it, avr_loss=0.0858]
steps:  23%|██▎       | 976/4288 [20:39<1:10:06,  1.27s/it, avr_loss=0.0858]
steps:  23%|██▎       | 976/4288 [20:39<1:10:06,  1.27s/it, avr_loss=0.0857]
steps:  23%|██▎       | 977/4288 [20:40<1:10:04,  1.27s/it, avr_loss=0.0857]
steps:  23%|██▎       | 977/4288 [20:40<1:10:04,  1.27s/it, avr_loss=0.0856]
steps:  23%|██▎       | 978/4288 [20:42<1:10:03,  1.27s/it, avr_loss=0.0856]
steps:  23%|██▎       | 978/4288 [20:42<1:10:03,  1.27s/it, avr_loss=0.0855]
steps:  23%|██▎       | 979/4288 [20:43<1:10:02,  1.27s/it, avr_loss=0.0855]
steps:  23%|██▎       | 979/4288 [20:43<1:10:02,  1.27s/it, avr_loss=0.0855]
steps:  23%|██▎       | 980/4288 [20:44<1:10:00,  1.27s/it, avr_loss=0.0855]
steps:  23%|██▎       | 980/4288 [20:44<1:10:00,  1.27s/it, avr_loss=0.0857]
steps:  23%|██▎       | 981/4288 [20:45<1:09:59,  1.27s/it, avr_loss=0.0857]
steps:  23%|██▎       | 981/4288 [20:45<1:09:59,  1.27s/it, avr_loss=0.0855]
steps:  23%|██▎       | 982/4288 [20:46<1:09:57,  1.27s/it, avr_loss=0.0855]
steps:  23%|██▎       | 982/4288 [20:46<1:09:57,  1.27s/it, avr_loss=0.0857]
steps:  23%|██▎       | 983/4288 [20:48<1:09:56,  1.27s/it, avr_loss=0.0857]
steps:  23%|██▎       | 983/4288 [20:48<1:09:56,  1.27s/it, avr_loss=0.0858]
steps:  23%|██▎       | 984/4288 [20:49<1:09:54,  1.27s/it, avr_loss=0.0858]
steps:  23%|██▎       | 984/4288 [20:49<1:09:54,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 985/4288 [20:50<1:09:53,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 985/4288 [20:50<1:09:53,  1.27s/it, avr_loss=0.0864]
steps:  23%|██▎       | 986/4288 [20:51<1:09:51,  1.27s/it, avr_loss=0.0864]
steps:  23%|██▎       | 986/4288 [20:51<1:09:51,  1.27s/it, avr_loss=0.0866]
steps:  23%|██▎       | 987/4288 [20:53<1:09:50,  1.27s/it, avr_loss=0.0866]
steps:  23%|██▎       | 987/4288 [20:53<1:09:50,  1.27s/it, avr_loss=0.0864]
steps:  23%|██▎       | 988/4288 [20:54<1:09:49,  1.27s/it, avr_loss=0.0864]
steps:  23%|██▎       | 988/4288 [20:54<1:09:49,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 989/4288 [20:55<1:09:48,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 989/4288 [20:55<1:09:48,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 990/4288 [20:56<1:09:46,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 990/4288 [20:56<1:09:46,  1.27s/it, avr_loss=0.0861]
steps:  23%|██▎       | 991/4288 [20:58<1:09:45,  1.27s/it, avr_loss=0.0861]
steps:  23%|██▎       | 991/4288 [20:58<1:09:45,  1.27s/it, avr_loss=0.0861]
steps:  23%|██▎       | 992/4288 [20:59<1:09:44,  1.27s/it, avr_loss=0.0861]
steps:  23%|██▎       | 992/4288 [20:59<1:09:44,  1.27s/it, avr_loss=0.0859]
steps:  23%|██▎       | 993/4288 [21:00<1:09:42,  1.27s/it, avr_loss=0.0859]
steps:  23%|██▎       | 993/4288 [21:00<1:09:42,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 994/4288 [21:01<1:09:41,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 994/4288 [21:01<1:09:41,  1.27s/it, avr_loss=0.0861]
steps:  23%|██▎       | 995/4288 [21:03<1:09:40,  1.27s/it, avr_loss=0.0861]
steps:  23%|██▎       | 995/4288 [21:03<1:09:40,  1.27s/it, avr_loss=0.0861]
steps:  23%|██▎       | 996/4288 [21:04<1:09:39,  1.27s/it, avr_loss=0.0861]
steps:  23%|██▎       | 996/4288 [21:04<1:09:39,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 997/4288 [21:05<1:09:37,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 997/4288 [21:05<1:09:37,  1.27s/it, avr_loss=0.0859]
steps:  23%|██▎       | 998/4288 [21:06<1:09:36,  1.27s/it, avr_loss=0.0859]
steps:  23%|██▎       | 998/4288 [21:06<1:09:36,  1.27s/it, avr_loss=0.0861]
steps:  23%|██▎       | 999/4288 [21:08<1:09:35,  1.27s/it, avr_loss=0.0861]
steps:  23%|██▎       | 999/4288 [21:08<1:09:35,  1.27s/it, avr_loss=0.0863]
steps:  23%|██▎       | 1000/4288 [21:09<1:09:33,  1.27s/it, avr_loss=0.0863]
steps:  23%|██▎       | 1000/4288 [21:09<1:09:33,  1.27s/it, avr_loss=0.0865]
steps:  23%|██▎       | 1001/4288 [21:10<1:09:32,  1.27s/it, avr_loss=0.0865]
steps:  23%|██▎       | 1001/4288 [21:10<1:09:32,  1.27s/it, avr_loss=0.0865]
steps:  23%|██▎       | 1002/4288 [21:11<1:09:31,  1.27s/it, avr_loss=0.0865]
steps:  23%|██▎       | 1002/4288 [21:11<1:09:31,  1.27s/it, avr_loss=0.0864]
steps:  23%|██▎       | 1003/4288 [21:13<1:09:30,  1.27s/it, avr_loss=0.0864]
steps:  23%|██▎       | 1003/4288 [21:13<1:09:30,  1.27s/it, avr_loss=0.0866]
steps:  23%|██▎       | 1004/4288 [21:14<1:09:29,  1.27s/it, avr_loss=0.0866]
steps:  23%|██▎       | 1004/4288 [21:14<1:09:29,  1.27s/it, avr_loss=0.0867]
steps:  23%|██▎       | 1005/4288 [21:16<1:09:28,  1.27s/it, avr_loss=0.0867]
steps:  23%|██▎       | 1005/4288 [21:16<1:09:28,  1.27s/it, avr_loss=0.0864]
steps:  23%|██▎       | 1006/4288 [21:17<1:09:26,  1.27s/it, avr_loss=0.0864]
steps:  23%|██▎       | 1006/4288 [21:17<1:09:26,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 1007/4288 [21:18<1:09:25,  1.27s/it, avr_loss=0.0862]
steps:  23%|██▎       | 1007/4288 [21:18<1:09:25,  1.27s/it, avr_loss=0.0861]
steps:  24%|██▎       | 1008/4288 [21:19<1:09:24,  1.27s/it, avr_loss=0.0861]
steps:  24%|██▎       | 1008/4288 [21:19<1:09:24,  1.27s/it, avr_loss=0.0862]
steps:  24%|██▎       | 1009/4288 [21:21<1:09:23,  1.27s/it, avr_loss=0.0862]
steps:  24%|██▎       | 1009/4288 [21:21<1:09:23,  1.27s/it, avr_loss=0.0863]
steps:  24%|██▎       | 1010/4288 [21:22<1:09:22,  1.27s/it, avr_loss=0.0863]
steps:  24%|██▎       | 1010/4288 [21:22<1:09:22,  1.27s/it, avr_loss=0.0866]
steps:  24%|██▎       | 1011/4288 [21:23<1:09:21,  1.27s/it, avr_loss=0.0866]
steps:  24%|██▎       | 1011/4288 [21:23<1:09:21,  1.27s/it, avr_loss=0.0868]
steps:  24%|██▎       | 1012/4288 [21:25<1:09:20,  1.27s/it, avr_loss=0.0868]
steps:  24%|██▎       | 1012/4288 [21:25<1:09:20,  1.27s/it, avr_loss=0.0867]
steps:  24%|██▎       | 1013/4288 [21:26<1:09:18,  1.27s/it, avr_loss=0.0867]
steps:  24%|██▎       | 1013/4288 [21:26<1:09:18,  1.27s/it, avr_loss=0.0867]
steps:  24%|██▎       | 1014/4288 [21:27<1:09:17,  1.27s/it, avr_loss=0.0867]
steps:  24%|██▎       | 1014/4288 [21:27<1:09:17,  1.27s/it, avr_loss=0.0867]
steps:  24%|██▎       | 1015/4288 [21:28<1:09:16,  1.27s/it, avr_loss=0.0867]
steps:  24%|██▎       | 1015/4288 [21:28<1:09:16,  1.27s/it, avr_loss=0.0864]
steps:  24%|██▎       | 1016/4288 [21:30<1:09:14,  1.27s/it, avr_loss=0.0864]
steps:  24%|██▎       | 1016/4288 [21:30<1:09:14,  1.27s/it, avr_loss=0.0861]
steps:  24%|██▎       | 1017/4288 [21:31<1:09:13,  1.27s/it, avr_loss=0.0861]
steps:  24%|██▎       | 1017/4288 [21:31<1:09:13,  1.27s/it, avr_loss=0.0859]
steps:  24%|██▎       | 1018/4288 [21:32<1:09:12,  1.27s/it, avr_loss=0.0859]
steps:  24%|██▎       | 1018/4288 [21:32<1:09:12,  1.27s/it, avr_loss=0.0862]
steps:  24%|██▍       | 1019/4288 [21:33<1:09:10,  1.27s/it, avr_loss=0.0862]
steps:  24%|██▍       | 1019/4288 [21:33<1:09:11,  1.27s/it, avr_loss=0.0865]
steps:  24%|██▍       | 1020/4288 [21:35<1:09:10,  1.27s/it, avr_loss=0.0865]
steps:  24%|██▍       | 1020/4288 [21:35<1:09:10,  1.27s/it, avr_loss=0.0865]
steps:  24%|██▍       | 1021/4288 [21:36<1:09:08,  1.27s/it, avr_loss=0.0865]
steps:  24%|██▍       | 1021/4288 [21:36<1:09:08,  1.27s/it, avr_loss=0.0866]
steps:  24%|██▍       | 1022/4288 [21:37<1:09:07,  1.27s/it, avr_loss=0.0866]
steps:  24%|██▍       | 1022/4288 [21:37<1:09:07,  1.27s/it, avr_loss=0.087] 
steps:  24%|██▍       | 1023/4288 [21:39<1:09:06,  1.27s/it, avr_loss=0.087]
steps:  24%|██▍       | 1023/4288 [21:39<1:09:06,  1.27s/it, avr_loss=0.0869]
steps:  24%|██▍       | 1024/4288 [21:40<1:09:05,  1.27s/it, avr_loss=0.0869]
steps:  24%|██▍       | 1024/4288 [21:40<1:09:05,  1.27s/it, avr_loss=0.0873]
steps:  24%|██▍       | 1025/4288 [21:41<1:09:03,  1.27s/it, avr_loss=0.0873]
steps:  24%|██▍       | 1025/4288 [21:41<1:09:03,  1.27s/it, avr_loss=0.0874]
steps:  24%|██▍       | 1026/4288 [21:42<1:09:02,  1.27s/it, avr_loss=0.0874]
steps:  24%|██▍       | 1026/4288 [21:42<1:09:02,  1.27s/it, avr_loss=0.0876]
steps:  24%|██▍       | 1027/4288 [21:44<1:09:00,  1.27s/it, avr_loss=0.0876]
steps:  24%|██▍       | 1027/4288 [21:44<1:09:00,  1.27s/it, avr_loss=0.088] 
steps:  24%|██▍       | 1028/4288 [21:45<1:08:59,  1.27s/it, avr_loss=0.088]
steps:  24%|██▍       | 1028/4288 [21:45<1:08:59,  1.27s/it, avr_loss=0.088]
steps:  24%|██▍       | 1029/4288 [21:46<1:08:58,  1.27s/it, avr_loss=0.088]
steps:  24%|██▍       | 1029/4288 [21:46<1:08:58,  1.27s/it, avr_loss=0.0882]
steps:  24%|██▍       | 1030/4288 [21:48<1:08:57,  1.27s/it, avr_loss=0.0882]
steps:  24%|██▍       | 1030/4288 [21:48<1:08:57,  1.27s/it, avr_loss=0.0881]
steps:  24%|██▍       | 1031/4288 [21:49<1:08:56,  1.27s/it, avr_loss=0.0881]
steps:  24%|██▍       | 1031/4288 [21:49<1:08:56,  1.27s/it, avr_loss=0.0878]
steps:  24%|██▍       | 1032/4288 [21:50<1:08:54,  1.27s/it, avr_loss=0.0878]
steps:  24%|██▍       | 1032/4288 [21:50<1:08:54,  1.27s/it, avr_loss=0.0878]
steps:  24%|██▍       | 1033/4288 [21:51<1:08:53,  1.27s/it, avr_loss=0.0878]
steps:  24%|██▍       | 1033/4288 [21:51<1:08:53,  1.27s/it, avr_loss=0.0879]
steps:  24%|██▍       | 1034/4288 [21:53<1:08:52,  1.27s/it, avr_loss=0.0879]
steps:  24%|██▍       | 1034/4288 [21:53<1:08:52,  1.27s/it, avr_loss=0.0879]
steps:  24%|██▍       | 1035/4288 [21:54<1:08:51,  1.27s/it, avr_loss=0.0879]
steps:  24%|██▍       | 1035/4288 [21:54<1:08:51,  1.27s/it, avr_loss=0.0879]
steps:  24%|██▍       | 1036/4288 [21:55<1:08:50,  1.27s/it, avr_loss=0.0879]
steps:  24%|██▍       | 1036/4288 [21:55<1:08:50,  1.27s/it, avr_loss=0.0877]
steps:  24%|██▍       | 1037/4288 [21:57<1:08:49,  1.27s/it, avr_loss=0.0877]
steps:  24%|██▍       | 1037/4288 [21:57<1:08:49,  1.27s/it, avr_loss=0.0877]
steps:  24%|██▍       | 1038/4288 [21:58<1:08:47,  1.27s/it, avr_loss=0.0877]
steps:  24%|██▍       | 1038/4288 [21:58<1:08:47,  1.27s/it, avr_loss=0.0878]
steps:  24%|██▍       | 1039/4288 [21:59<1:08:46,  1.27s/it, avr_loss=0.0878]
steps:  24%|██▍       | 1039/4288 [21:59<1:08:46,  1.27s/it, avr_loss=0.0879]
steps:  24%|██▍       | 1040/4288 [22:00<1:08:45,  1.27s/it, avr_loss=0.0879]
steps:  24%|██▍       | 1040/4288 [22:00<1:08:45,  1.27s/it, avr_loss=0.0876]
steps:  24%|██▍       | 1041/4288 [22:02<1:08:44,  1.27s/it, avr_loss=0.0876]
steps:  24%|██▍       | 1041/4288 [22:02<1:08:44,  1.27s/it, avr_loss=0.0878]
steps:  24%|██▍       | 1042/4288 [22:03<1:08:43,  1.27s/it, avr_loss=0.0878]
steps:  24%|██▍       | 1042/4288 [22:03<1:08:43,  1.27s/it, avr_loss=0.0878]
steps:  24%|██▍       | 1043/4288 [22:04<1:08:41,  1.27s/it, avr_loss=0.0878]
steps:  24%|██▍       | 1043/4288 [22:04<1:08:41,  1.27s/it, avr_loss=0.0876]
steps:  24%|██▍       | 1044/4288 [22:05<1:08:39,  1.27s/it, avr_loss=0.0876]
steps:  24%|██▍       | 1044/4288 [22:05<1:08:39,  1.27s/it, avr_loss=0.0875]
steps:  24%|██▍       | 1045/4288 [22:07<1:08:38,  1.27s/it, avr_loss=0.0875]
steps:  24%|██▍       | 1045/4288 [22:07<1:08:38,  1.27s/it, avr_loss=0.0875]
steps:  24%|██▍       | 1046/4288 [22:08<1:08:38,  1.27s/it, avr_loss=0.0875]
steps:  24%|██▍       | 1046/4288 [22:08<1:08:38,  1.27s/it, avr_loss=0.0875]
steps:  24%|██▍       | 1047/4288 [22:09<1:08:36,  1.27s/it, avr_loss=0.0875]
steps:  24%|██▍       | 1047/4288 [22:09<1:08:36,  1.27s/it, avr_loss=0.0877]
steps:  24%|██▍       | 1048/4288 [22:11<1:08:35,  1.27s/it, avr_loss=0.0877]
steps:  24%|██▍       | 1048/4288 [22:11<1:08:35,  1.27s/it, avr_loss=0.0879]
steps:  24%|██▍       | 1049/4288 [22:12<1:08:33,  1.27s/it, avr_loss=0.0879]
steps:  24%|██▍       | 1049/4288 [22:12<1:08:33,  1.27s/it, avr_loss=0.088] 
steps:  24%|██▍       | 1050/4288 [22:13<1:08:32,  1.27s/it, avr_loss=0.088]
steps:  24%|██▍       | 1050/4288 [22:13<1:08:32,  1.27s/it, avr_loss=0.0878]
steps:  25%|██▍       | 1051/4288 [22:14<1:08:31,  1.27s/it, avr_loss=0.0878]
steps:  25%|██▍       | 1051/4288 [22:14<1:08:31,  1.27s/it, avr_loss=0.0879]
steps:  25%|██▍       | 1052/4288 [22:16<1:08:30,  1.27s/it, avr_loss=0.0879]
steps:  25%|██▍       | 1052/4288 [22:16<1:08:30,  1.27s/it, avr_loss=0.0879]
steps:  25%|██▍       | 1053/4288 [22:17<1:08:28,  1.27s/it, avr_loss=0.0879]
steps:  25%|██▍       | 1053/4288 [22:17<1:08:28,  1.27s/it, avr_loss=0.0882]
steps:  25%|██▍       | 1054/4288 [22:18<1:08:27,  1.27s/it, avr_loss=0.0882]
steps:  25%|██▍       | 1054/4288 [22:18<1:08:27,  1.27s/it, avr_loss=0.0882]
steps:  25%|██▍       | 1055/4288 [22:19<1:08:26,  1.27s/it, avr_loss=0.0882]
steps:  25%|██▍       | 1055/4288 [22:19<1:08:26,  1.27s/it, avr_loss=0.0882]
steps:  25%|██▍       | 1056/4288 [22:21<1:08:24,  1.27s/it, avr_loss=0.0882]
steps:  25%|██▍       | 1056/4288 [22:21<1:08:24,  1.27s/it, avr_loss=0.0882]
steps:  25%|██▍       | 1057/4288 [22:22<1:08:23,  1.27s/it, avr_loss=0.0882]
steps:  25%|██▍       | 1057/4288 [22:22<1:08:23,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▍       | 1058/4288 [22:23<1:08:21,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▍       | 1058/4288 [22:23<1:08:21,  1.27s/it, avr_loss=0.0889]
steps:  25%|██▍       | 1059/4288 [22:24<1:08:20,  1.27s/it, avr_loss=0.0889]
steps:  25%|██▍       | 1059/4288 [22:24<1:08:20,  1.27s/it, avr_loss=0.0883]
steps:  25%|██▍       | 1060/4288 [22:26<1:08:19,  1.27s/it, avr_loss=0.0883]
steps:  25%|██▍       | 1060/4288 [22:26<1:08:19,  1.27s/it, avr_loss=0.0883]
steps:  25%|██▍       | 1061/4288 [22:27<1:08:18,  1.27s/it, avr_loss=0.0883]
steps:  25%|██▍       | 1061/4288 [22:27<1:08:18,  1.27s/it, avr_loss=0.0883]
steps:  25%|██▍       | 1062/4288 [22:28<1:08:16,  1.27s/it, avr_loss=0.0883]
steps:  25%|██▍       | 1062/4288 [22:28<1:08:16,  1.27s/it, avr_loss=0.0881]
steps:  25%|██▍       | 1063/4288 [22:29<1:08:15,  1.27s/it, avr_loss=0.0881]
steps:  25%|██▍       | 1063/4288 [22:29<1:08:15,  1.27s/it, avr_loss=0.0882]
steps:  25%|██▍       | 1064/4288 [22:30<1:08:13,  1.27s/it, avr_loss=0.0882]
steps:  25%|██▍       | 1064/4288 [22:30<1:08:13,  1.27s/it, avr_loss=0.0883]
steps:  25%|██▍       | 1065/4288 [22:32<1:08:12,  1.27s/it, avr_loss=0.0883]
steps:  25%|██▍       | 1065/4288 [22:32<1:08:12,  1.27s/it, avr_loss=0.0884]
steps:  25%|██▍       | 1066/4288 [22:33<1:08:10,  1.27s/it, avr_loss=0.0884]
steps:  25%|██▍       | 1066/4288 [22:33<1:08:10,  1.27s/it, avr_loss=0.0883]
steps:  25%|██▍       | 1067/4288 [22:34<1:08:08,  1.27s/it, avr_loss=0.0883]
steps:  25%|██▍       | 1067/4288 [22:34<1:08:08,  1.27s/it, avr_loss=0.0887]
steps:  25%|██▍       | 1068/4288 [22:35<1:08:07,  1.27s/it, avr_loss=0.0887]
steps:  25%|██▍       | 1068/4288 [22:35<1:08:07,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▍       | 1069/4288 [22:36<1:08:05,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▍       | 1069/4288 [22:36<1:08:05,  1.27s/it, avr_loss=0.0887]
steps:  25%|██▍       | 1070/4288 [22:38<1:08:04,  1.27s/it, avr_loss=0.0887]
steps:  25%|██▍       | 1070/4288 [22:38<1:08:04,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▍       | 1071/4288 [22:39<1:08:03,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▍       | 1071/4288 [22:39<1:08:03,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▌       | 1072/4288 [22:40<1:08:01,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▌       | 1072/4288 [22:40<1:08:01,  1.27s/it, avr_loss=0.0888]2026-07-24 13:58:22 INFO     epoch is incremented. current_epoch: dataset.py:464
                             4, epoch: 5                                        
2026-07-24 13:58:22 INFO     epoch is incremented. current_epoch: dataset.py:464
                             4, epoch: 5                                        

steps:  25%|██▌       | 1073/4288 [22:42<1:08:01,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▌       | 1073/4288 [22:42<1:08:01,  1.27s/it, avr_loss=0.0887]
steps:  25%|██▌       | 1074/4288 [22:43<1:07:59,  1.27s/it, avr_loss=0.0887]
steps:  25%|██▌       | 1074/4288 [22:43<1:07:59,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▌       | 1075/4288 [22:44<1:07:58,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▌       | 1075/4288 [22:44<1:07:58,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▌       | 1076/4288 [22:45<1:07:57,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▌       | 1076/4288 [22:45<1:07:57,  1.27s/it, avr_loss=0.0886]
steps:  25%|██▌       | 1077/4288 [22:47<1:07:55,  1.27s/it, avr_loss=0.0886]
steps:  25%|██▌       | 1077/4288 [22:47<1:07:55,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▌       | 1078/4288 [22:48<1:07:54,  1.27s/it, avr_loss=0.0888]
steps:  25%|██▌       | 1078/4288 [22:48<1:07:54,  1.27s/it, avr_loss=0.0886]
steps:  25%|██▌       | 1079/4288 [22:49<1:07:53,  1.27s/it, avr_loss=0.0886]
steps:  25%|██▌       | 1079/4288 [22:49<1:07:53,  1.27s/it, avr_loss=0.089] 
steps:  25%|██▌       | 1080/4288 [22:50<1:07:51,  1.27s/it, avr_loss=0.089]
steps:  25%|██▌       | 1080/4288 [22:50<1:07:51,  1.27s/it, avr_loss=0.0889]
steps:  25%|██▌       | 1081/4288 [22:52<1:07:50,  1.27s/it, avr_loss=0.0889]
steps:  25%|██▌       | 1081/4288 [22:52<1:07:50,  1.27s/it, avr_loss=0.089] 
steps:  25%|██▌       | 1082/4288 [22:53<1:07:49,  1.27s/it, avr_loss=0.089]
steps:  25%|██▌       | 1082/4288 [22:53<1:07:49,  1.27s/it, avr_loss=0.0891]
steps:  25%|██▌       | 1083/4288 [22:54<1:07:48,  1.27s/it, avr_loss=0.0891]
steps:  25%|██▌       | 1083/4288 [22:54<1:07:48,  1.27s/it, avr_loss=0.089] 
steps:  25%|██▌       | 1084/4288 [22:55<1:07:46,  1.27s/it, avr_loss=0.089]
steps:  25%|██▌       | 1084/4288 [22:55<1:07:46,  1.27s/it, avr_loss=0.089]
steps:  25%|██▌       | 1085/4288 [22:57<1:07:46,  1.27s/it, avr_loss=0.089]
steps:  25%|██▌       | 1085/4288 [22:57<1:07:46,  1.27s/it, avr_loss=0.0889]
steps:  25%|██▌       | 1086/4288 [22:58<1:07:44,  1.27s/it, avr_loss=0.0889]
steps:  25%|██▌       | 1086/4288 [22:58<1:07:44,  1.27s/it, avr_loss=0.0891]
steps:  25%|██▌       | 1087/4288 [22:59<1:07:42,  1.27s/it, avr_loss=0.0891]
steps:  25%|██▌       | 1087/4288 [22:59<1:07:42,  1.27s/it, avr_loss=0.0891]
steps:  25%|██▌       | 1088/4288 [23:00<1:07:41,  1.27s/it, avr_loss=0.0891]
steps:  25%|██▌       | 1088/4288 [23:00<1:07:41,  1.27s/it, avr_loss=0.089] 
steps:  25%|██▌       | 1089/4288 [23:02<1:07:39,  1.27s/it, avr_loss=0.089]
steps:  25%|██▌       | 1089/4288 [23:02<1:07:40,  1.27s/it, avr_loss=0.089]
steps:  25%|██▌       | 1090/4288 [23:03<1:07:39,  1.27s/it, avr_loss=0.089]
steps:  25%|██▌       | 1090/4288 [23:03<1:07:39,  1.27s/it, avr_loss=0.0887]
steps:  25%|██▌       | 1091/4288 [23:04<1:07:37,  1.27s/it, avr_loss=0.0887]
steps:  25%|██▌       | 1091/4288 [23:04<1:07:37,  1.27s/it, avr_loss=0.0887]
steps:  25%|██▌       | 1092/4288 [23:06<1:07:36,  1.27s/it, avr_loss=0.0887]
steps:  25%|██▌       | 1092/4288 [23:06<1:07:36,  1.27s/it, avr_loss=0.0885]
steps:  25%|██▌       | 1093/4288 [23:07<1:07:35,  1.27s/it, avr_loss=0.0885]
steps:  25%|██▌       | 1093/4288 [23:07<1:07:35,  1.27s/it, avr_loss=0.0885]
steps:  26%|██▌       | 1094/4288 [23:08<1:07:34,  1.27s/it, avr_loss=0.0885]
steps:  26%|██▌       | 1094/4288 [23:08<1:07:34,  1.27s/it, avr_loss=0.0885]
steps:  26%|██▌       | 1095/4288 [23:09<1:07:32,  1.27s/it, avr_loss=0.0885]
steps:  26%|██▌       | 1095/4288 [23:09<1:07:32,  1.27s/it, avr_loss=0.0889]
steps:  26%|██▌       | 1096/4288 [23:11<1:07:31,  1.27s/it, avr_loss=0.0889]
steps:  26%|██▌       | 1096/4288 [23:11<1:07:31,  1.27s/it, avr_loss=0.0889]
steps:  26%|██▌       | 1097/4288 [23:12<1:07:30,  1.27s/it, avr_loss=0.0889]
steps:  26%|██▌       | 1097/4288 [23:12<1:07:30,  1.27s/it, avr_loss=0.0888]
steps:  26%|██▌       | 1098/4288 [23:13<1:07:29,  1.27s/it, avr_loss=0.0888]
steps:  26%|██▌       | 1098/4288 [23:13<1:07:29,  1.27s/it, avr_loss=0.0895]
steps:  26%|██▌       | 1099/4288 [23:14<1:07:27,  1.27s/it, avr_loss=0.0895]
steps:  26%|██▌       | 1099/4288 [23:14<1:07:27,  1.27s/it, avr_loss=0.0896]
steps:  26%|██▌       | 1100/4288 [23:16<1:07:26,  1.27s/it, avr_loss=0.0896]
steps:  26%|██▌       | 1100/4288 [23:16<1:07:26,  1.27s/it, avr_loss=0.0894]
steps:  26%|██▌       | 1101/4288 [23:17<1:07:25,  1.27s/it, avr_loss=0.0894]
steps:  26%|██▌       | 1101/4288 [23:17<1:07:25,  1.27s/it, avr_loss=0.0895]
steps:  26%|██▌       | 1102/4288 [23:18<1:07:24,  1.27s/it, avr_loss=0.0895]
steps:  26%|██▌       | 1102/4288 [23:18<1:07:24,  1.27s/it, avr_loss=0.0894]
steps:  26%|██▌       | 1103/4288 [23:20<1:07:23,  1.27s/it, avr_loss=0.0894]
steps:  26%|██▌       | 1103/4288 [23:20<1:07:23,  1.27s/it, avr_loss=0.0896]
steps:  26%|██▌       | 1104/4288 [23:21<1:07:21,  1.27s/it, avr_loss=0.0896]
steps:  26%|██▌       | 1104/4288 [23:21<1:07:21,  1.27s/it, avr_loss=0.0896]
steps:  26%|██▌       | 1105/4288 [23:22<1:07:20,  1.27s/it, avr_loss=0.0896]
steps:  26%|██▌       | 1105/4288 [23:22<1:07:20,  1.27s/it, avr_loss=0.0894]
steps:  26%|██▌       | 1106/4288 [23:24<1:07:19,  1.27s/it, avr_loss=0.0894]
steps:  26%|██▌       | 1106/4288 [23:24<1:07:19,  1.27s/it, avr_loss=0.0893]
steps:  26%|██▌       | 1107/4288 [23:25<1:07:17,  1.27s/it, avr_loss=0.0893]
steps:  26%|██▌       | 1107/4288 [23:25<1:07:17,  1.27s/it, avr_loss=0.0899]
steps:  26%|██▌       | 1108/4288 [23:26<1:07:16,  1.27s/it, avr_loss=0.0899]
steps:  26%|██▌       | 1108/4288 [23:26<1:07:16,  1.27s/it, avr_loss=0.0902]
steps:  26%|██▌       | 1109/4288 [23:27<1:07:15,  1.27s/it, avr_loss=0.0902]
steps:  26%|██▌       | 1109/4288 [23:27<1:07:15,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▌       | 1110/4288 [23:29<1:07:14,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▌       | 1110/4288 [23:29<1:07:14,  1.27s/it, avr_loss=0.0904]
steps:  26%|██▌       | 1111/4288 [23:30<1:07:13,  1.27s/it, avr_loss=0.0904]
steps:  26%|██▌       | 1111/4288 [23:30<1:07:13,  1.27s/it, avr_loss=0.0908]
steps:  26%|██▌       | 1112/4288 [23:31<1:07:12,  1.27s/it, avr_loss=0.0908]
steps:  26%|██▌       | 1112/4288 [23:31<1:07:12,  1.27s/it, avr_loss=0.0907]
steps:  26%|██▌       | 1113/4288 [23:33<1:07:11,  1.27s/it, avr_loss=0.0907]
steps:  26%|██▌       | 1113/4288 [23:33<1:07:11,  1.27s/it, avr_loss=0.091] 
steps:  26%|██▌       | 1114/4288 [23:34<1:07:09,  1.27s/it, avr_loss=0.091]
steps:  26%|██▌       | 1114/4288 [23:34<1:07:09,  1.27s/it, avr_loss=0.091]
steps:  26%|██▌       | 1115/4288 [23:35<1:07:08,  1.27s/it, avr_loss=0.091]
steps:  26%|██▌       | 1115/4288 [23:35<1:07:08,  1.27s/it, avr_loss=0.0909]
steps:  26%|██▌       | 1116/4288 [23:36<1:07:07,  1.27s/it, avr_loss=0.0909]
steps:  26%|██▌       | 1116/4288 [23:36<1:07:07,  1.27s/it, avr_loss=0.091] 
steps:  26%|██▌       | 1117/4288 [23:38<1:07:06,  1.27s/it, avr_loss=0.091]
steps:  26%|██▌       | 1117/4288 [23:38<1:07:06,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▌       | 1118/4288 [23:39<1:07:05,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▌       | 1118/4288 [23:39<1:07:05,  1.27s/it, avr_loss=0.0902]
steps:  26%|██▌       | 1119/4288 [23:40<1:07:03,  1.27s/it, avr_loss=0.0902]
steps:  26%|██▌       | 1119/4288 [23:40<1:07:03,  1.27s/it, avr_loss=0.0909]
steps:  26%|██▌       | 1120/4288 [23:42<1:07:02,  1.27s/it, avr_loss=0.0909]
steps:  26%|██▌       | 1120/4288 [23:42<1:07:02,  1.27s/it, avr_loss=0.0911]
steps:  26%|██▌       | 1121/4288 [23:43<1:07:01,  1.27s/it, avr_loss=0.0911]
steps:  26%|██▌       | 1121/4288 [23:43<1:07:01,  1.27s/it, avr_loss=0.091] 
steps:  26%|██▌       | 1122/4288 [23:44<1:07:00,  1.27s/it, avr_loss=0.091]
steps:  26%|██▌       | 1122/4288 [23:44<1:07:00,  1.27s/it, avr_loss=0.0911]
steps:  26%|██▌       | 1123/4288 [23:46<1:06:59,  1.27s/it, avr_loss=0.0911]
steps:  26%|██▌       | 1123/4288 [23:46<1:06:59,  1.27s/it, avr_loss=0.0911]
steps:  26%|██▌       | 1124/4288 [23:47<1:06:58,  1.27s/it, avr_loss=0.0911]
steps:  26%|██▌       | 1124/4288 [23:47<1:06:58,  1.27s/it, avr_loss=0.0908]
steps:  26%|██▌       | 1125/4288 [23:48<1:06:57,  1.27s/it, avr_loss=0.0908]
steps:  26%|██▌       | 1125/4288 [23:48<1:06:57,  1.27s/it, avr_loss=0.0906]
steps:  26%|██▋       | 1126/4288 [23:50<1:06:56,  1.27s/it, avr_loss=0.0906]
steps:  26%|██▋       | 1126/4288 [23:50<1:06:56,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▋       | 1127/4288 [23:51<1:06:54,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▋       | 1127/4288 [23:51<1:06:54,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▋       | 1128/4288 [23:52<1:06:53,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▋       | 1128/4288 [23:52<1:06:53,  1.27s/it, avr_loss=0.0904]
steps:  26%|██▋       | 1129/4288 [23:54<1:06:52,  1.27s/it, avr_loss=0.0904]
steps:  26%|██▋       | 1129/4288 [23:54<1:06:52,  1.27s/it, avr_loss=0.0907]
steps:  26%|██▋       | 1130/4288 [23:55<1:06:51,  1.27s/it, avr_loss=0.0907]
steps:  26%|██▋       | 1130/4288 [23:55<1:06:51,  1.27s/it, avr_loss=0.0902]
steps:  26%|██▋       | 1131/4288 [23:56<1:06:49,  1.27s/it, avr_loss=0.0902]
steps:  26%|██▋       | 1131/4288 [23:56<1:06:49,  1.27s/it, avr_loss=0.09]  
steps:  26%|██▋       | 1132/4288 [23:57<1:06:48,  1.27s/it, avr_loss=0.09]
steps:  26%|██▋       | 1132/4288 [23:57<1:06:48,  1.27s/it, avr_loss=0.0905]
steps:  26%|██▋       | 1133/4288 [23:59<1:06:47,  1.27s/it, avr_loss=0.0905]
steps:  26%|██▋       | 1133/4288 [23:59<1:06:47,  1.27s/it, avr_loss=0.0905]
steps:  26%|██▋       | 1134/4288 [24:00<1:06:46,  1.27s/it, avr_loss=0.0905]
steps:  26%|██▋       | 1134/4288 [24:00<1:06:46,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▋       | 1135/4288 [24:01<1:06:44,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▋       | 1135/4288 [24:01<1:06:44,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▋       | 1136/4288 [24:02<1:06:43,  1.27s/it, avr_loss=0.0903]
steps:  26%|██▋       | 1136/4288 [24:02<1:06:43,  1.27s/it, avr_loss=0.0902]
steps:  27%|██▋       | 1137/4288 [24:04<1:06:42,  1.27s/it, avr_loss=0.0902]
steps:  27%|██▋       | 1137/4288 [24:04<1:06:42,  1.27s/it, avr_loss=0.0901]
steps:  27%|██▋       | 1138/4288 [24:05<1:06:40,  1.27s/it, avr_loss=0.0901]
steps:  27%|██▋       | 1138/4288 [24:05<1:06:40,  1.27s/it, avr_loss=0.0896]
steps:  27%|██▋       | 1139/4288 [24:06<1:06:39,  1.27s/it, avr_loss=0.0896]
steps:  27%|██▋       | 1139/4288 [24:06<1:06:39,  1.27s/it, avr_loss=0.0893]
steps:  27%|██▋       | 1140/4288 [24:08<1:06:38,  1.27s/it, avr_loss=0.0893]
steps:  27%|██▋       | 1140/4288 [24:08<1:06:38,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1141/4288 [24:09<1:06:37,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1141/4288 [24:09<1:06:37,  1.27s/it, avr_loss=0.0894]
steps:  27%|██▋       | 1142/4288 [24:10<1:06:35,  1.27s/it, avr_loss=0.0894]
steps:  27%|██▋       | 1142/4288 [24:10<1:06:35,  1.27s/it, avr_loss=0.0894]
steps:  27%|██▋       | 1143/4288 [24:11<1:06:34,  1.27s/it, avr_loss=0.0894]
steps:  27%|██▋       | 1143/4288 [24:11<1:06:34,  1.27s/it, avr_loss=0.0892]
steps:  27%|██▋       | 1144/4288 [24:12<1:06:32,  1.27s/it, avr_loss=0.0892]
steps:  27%|██▋       | 1144/4288 [24:12<1:06:32,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1145/4288 [24:13<1:06:30,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1145/4288 [24:13<1:06:30,  1.27s/it, avr_loss=0.0896]
steps:  27%|██▋       | 1146/4288 [24:15<1:06:29,  1.27s/it, avr_loss=0.0896]
steps:  27%|██▋       | 1146/4288 [24:15<1:06:29,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1147/4288 [24:16<1:06:28,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1147/4288 [24:16<1:06:28,  1.27s/it, avr_loss=0.0897]
steps:  27%|██▋       | 1148/4288 [24:17<1:06:27,  1.27s/it, avr_loss=0.0897]
steps:  27%|██▋       | 1148/4288 [24:17<1:06:27,  1.27s/it, avr_loss=0.0899]
steps:  27%|██▋       | 1149/4288 [24:19<1:06:26,  1.27s/it, avr_loss=0.0899]
steps:  27%|██▋       | 1149/4288 [24:19<1:06:26,  1.27s/it, avr_loss=0.09]  
steps:  27%|██▋       | 1150/4288 [24:20<1:06:25,  1.27s/it, avr_loss=0.09]
steps:  27%|██▋       | 1150/4288 [24:20<1:06:25,  1.27s/it, avr_loss=0.09]
steps:  27%|██▋       | 1151/4288 [24:21<1:06:23,  1.27s/it, avr_loss=0.09]
steps:  27%|██▋       | 1151/4288 [24:21<1:06:23,  1.27s/it, avr_loss=0.0899]
steps:  27%|██▋       | 1152/4288 [24:23<1:06:22,  1.27s/it, avr_loss=0.0899]
steps:  27%|██▋       | 1152/4288 [24:23<1:06:22,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1153/4288 [24:24<1:06:21,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1153/4288 [24:24<1:06:21,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1154/4288 [24:25<1:06:20,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1154/4288 [24:25<1:06:20,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1155/4288 [24:26<1:06:18,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1155/4288 [24:26<1:06:18,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1156/4288 [24:28<1:06:17,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1156/4288 [24:28<1:06:17,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1157/4288 [24:29<1:06:16,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1157/4288 [24:29<1:06:16,  1.27s/it, avr_loss=0.0897]
steps:  27%|██▋       | 1158/4288 [24:30<1:06:15,  1.27s/it, avr_loss=0.0897]
steps:  27%|██▋       | 1158/4288 [24:30<1:06:15,  1.27s/it, avr_loss=0.0897]
steps:  27%|██▋       | 1159/4288 [24:31<1:06:13,  1.27s/it, avr_loss=0.0897]
steps:  27%|██▋       | 1159/4288 [24:31<1:06:13,  1.27s/it, avr_loss=0.0897]
steps:  27%|██▋       | 1160/4288 [24:33<1:06:12,  1.27s/it, avr_loss=0.0897]
steps:  27%|██▋       | 1160/4288 [24:33<1:06:12,  1.27s/it, avr_loss=0.09]  
steps:  27%|██▋       | 1161/4288 [24:34<1:06:11,  1.27s/it, avr_loss=0.09]
steps:  27%|██▋       | 1161/4288 [24:34<1:06:11,  1.27s/it, avr_loss=0.09]
steps:  27%|██▋       | 1162/4288 [24:35<1:06:10,  1.27s/it, avr_loss=0.09]
steps:  27%|██▋       | 1162/4288 [24:35<1:06:10,  1.27s/it, avr_loss=0.0899]
steps:  27%|██▋       | 1163/4288 [24:37<1:06:08,  1.27s/it, avr_loss=0.0899]
steps:  27%|██▋       | 1163/4288 [24:37<1:06:08,  1.27s/it, avr_loss=0.09]  
steps:  27%|██▋       | 1164/4288 [24:38<1:06:07,  1.27s/it, avr_loss=0.09]
steps:  27%|██▋       | 1164/4288 [24:38<1:06:07,  1.27s/it, avr_loss=0.09]
steps:  27%|██▋       | 1165/4288 [24:39<1:06:06,  1.27s/it, avr_loss=0.09]
steps:  27%|██▋       | 1165/4288 [24:39<1:06:06,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1166/4288 [24:40<1:06:05,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1166/4288 [24:40<1:06:05,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1167/4288 [24:42<1:06:04,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1167/4288 [24:42<1:06:04,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1168/4288 [24:43<1:06:03,  1.27s/it, avr_loss=0.0898]
steps:  27%|██▋       | 1168/4288 [24:43<1:06:03,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1169/4288 [24:44<1:06:01,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1169/4288 [24:44<1:06:01,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1170/4288 [24:46<1:06:00,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1170/4288 [24:46<1:06:00,  1.27s/it, avr_loss=0.0894]
steps:  27%|██▋       | 1171/4288 [24:47<1:05:59,  1.27s/it, avr_loss=0.0894]
steps:  27%|██▋       | 1171/4288 [24:47<1:05:59,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1172/4288 [24:48<1:05:57,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1172/4288 [24:48<1:05:58,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1173/4288 [24:49<1:05:56,  1.27s/it, avr_loss=0.0895]
steps:  27%|██▋       | 1173/4288 [24:49<1:05:56,  1.27s/it, avr_loss=0.0896]
steps:  27%|██▋       | 1174/4288 [24:51<1:05:55,  1.27s/it, avr_loss=0.0896]
steps:  27%|██▋       | 1174/4288 [24:51<1:05:55,  1.27s/it, avr_loss=0.0893]
steps:  27%|██▋       | 1175/4288 [24:52<1:05:53,  1.27s/it, avr_loss=0.0893]
steps:  27%|██▋       | 1175/4288 [24:52<1:05:53,  1.27s/it, avr_loss=0.0893]
steps:  27%|██▋       | 1176/4288 [24:53<1:05:52,  1.27s/it, avr_loss=0.0893]
steps:  27%|██▋       | 1176/4288 [24:53<1:05:52,  1.27s/it, avr_loss=0.0891]
steps:  27%|██▋       | 1177/4288 [24:54<1:05:50,  1.27s/it, avr_loss=0.0891]
steps:  27%|██▋       | 1177/4288 [24:54<1:05:50,  1.27s/it, avr_loss=0.0892]
steps:  27%|██▋       | 1178/4288 [24:56<1:05:49,  1.27s/it, avr_loss=0.0892]
steps:  27%|██▋       | 1178/4288 [24:56<1:05:49,  1.27s/it, avr_loss=0.089] 
steps:  27%|██▋       | 1179/4288 [24:57<1:05:48,  1.27s/it, avr_loss=0.089]
steps:  27%|██▋       | 1179/4288 [24:57<1:05:48,  1.27s/it, avr_loss=0.089]
steps:  28%|██▊       | 1180/4288 [24:58<1:05:47,  1.27s/it, avr_loss=0.089]
steps:  28%|██▊       | 1180/4288 [24:58<1:05:47,  1.27s/it, avr_loss=0.0887]
steps:  28%|██▊       | 1181/4288 [24:59<1:05:45,  1.27s/it, avr_loss=0.0887]
steps:  28%|██▊       | 1181/4288 [24:59<1:05:45,  1.27s/it, avr_loss=0.089] 
steps:  28%|██▊       | 1182/4288 [25:01<1:05:44,  1.27s/it, avr_loss=0.089]
steps:  28%|██▊       | 1182/4288 [25:01<1:05:44,  1.27s/it, avr_loss=0.0892]
steps:  28%|██▊       | 1183/4288 [25:02<1:05:43,  1.27s/it, avr_loss=0.0892]
steps:  28%|██▊       | 1183/4288 [25:02<1:05:43,  1.27s/it, avr_loss=0.0893]
steps:  28%|██▊       | 1184/4288 [25:03<1:05:41,  1.27s/it, avr_loss=0.0893]
steps:  28%|██▊       | 1184/4288 [25:03<1:05:41,  1.27s/it, avr_loss=0.0893]
steps:  28%|██▊       | 1185/4288 [25:04<1:05:40,  1.27s/it, avr_loss=0.0893]
steps:  28%|██▊       | 1185/4288 [25:04<1:05:40,  1.27s/it, avr_loss=0.0894]
steps:  28%|██▊       | 1186/4288 [25:06<1:05:39,  1.27s/it, avr_loss=0.0894]
steps:  28%|██▊       | 1186/4288 [25:06<1:05:39,  1.27s/it, avr_loss=0.0898]
steps:  28%|██▊       | 1187/4288 [25:07<1:05:38,  1.27s/it, avr_loss=0.0898]
steps:  28%|██▊       | 1187/4288 [25:07<1:05:38,  1.27s/it, avr_loss=0.0896]
steps:  28%|██▊       | 1188/4288 [25:08<1:05:37,  1.27s/it, avr_loss=0.0896]
steps:  28%|██▊       | 1188/4288 [25:08<1:05:37,  1.27s/it, avr_loss=0.0895]
steps:  28%|██▊       | 1189/4288 [25:10<1:05:35,  1.27s/it, avr_loss=0.0895]
steps:  28%|██▊       | 1189/4288 [25:10<1:05:35,  1.27s/it, avr_loss=0.0875]
steps:  28%|██▊       | 1190/4288 [25:11<1:05:34,  1.27s/it, avr_loss=0.0875]
steps:  28%|██▊       | 1190/4288 [25:11<1:05:34,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1191/4288 [25:12<1:05:33,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1191/4288 [25:12<1:05:33,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1192/4288 [25:13<1:05:32,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1192/4288 [25:13<1:05:32,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1193/4288 [25:15<1:05:30,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1193/4288 [25:15<1:05:30,  1.27s/it, avr_loss=0.0879]
steps:  28%|██▊       | 1194/4288 [25:16<1:05:29,  1.27s/it, avr_loss=0.0879]
steps:  28%|██▊       | 1194/4288 [25:16<1:05:29,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1195/4288 [25:17<1:05:28,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1195/4288 [25:17<1:05:28,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1196/4288 [25:18<1:05:27,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1196/4288 [25:18<1:05:27,  1.27s/it, avr_loss=0.0874]
steps:  28%|██▊       | 1197/4288 [25:20<1:05:25,  1.27s/it, avr_loss=0.0874]
steps:  28%|██▊       | 1197/4288 [25:20<1:05:25,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1198/4288 [25:21<1:05:24,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1198/4288 [25:21<1:05:24,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1199/4288 [25:22<1:05:23,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1199/4288 [25:22<1:05:23,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1200/4288 [25:24<1:05:21,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1200/4288 [25:24<1:05:21,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1201/4288 [25:25<1:05:20,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1201/4288 [25:25<1:05:20,  1.27s/it, avr_loss=0.0879]
steps:  28%|██▊       | 1202/4288 [25:26<1:05:19,  1.27s/it, avr_loss=0.0879]
steps:  28%|██▊       | 1202/4288 [25:26<1:05:19,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1203/4288 [25:27<1:05:18,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1203/4288 [25:27<1:05:18,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1204/4288 [25:29<1:05:16,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1204/4288 [25:29<1:05:16,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1205/4288 [25:30<1:05:15,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1205/4288 [25:30<1:05:15,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1206/4288 [25:31<1:05:14,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1206/4288 [25:31<1:05:14,  1.27s/it, avr_loss=0.0879]
steps:  28%|██▊       | 1207/4288 [25:32<1:05:13,  1.27s/it, avr_loss=0.0879]
steps:  28%|██▊       | 1207/4288 [25:32<1:05:13,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1208/4288 [25:34<1:05:11,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1208/4288 [25:34<1:05:11,  1.27s/it, avr_loss=0.0875]
steps:  28%|██▊       | 1209/4288 [25:35<1:05:10,  1.27s/it, avr_loss=0.0875]
steps:  28%|██▊       | 1209/4288 [25:35<1:05:10,  1.27s/it, avr_loss=0.0874]
steps:  28%|██▊       | 1210/4288 [25:36<1:05:09,  1.27s/it, avr_loss=0.0874]
steps:  28%|██▊       | 1210/4288 [25:36<1:05:09,  1.27s/it, avr_loss=0.0872]
steps:  28%|██▊       | 1211/4288 [25:37<1:05:07,  1.27s/it, avr_loss=0.0872]
steps:  28%|██▊       | 1211/4288 [25:37<1:05:07,  1.27s/it, avr_loss=0.0872]
steps:  28%|██▊       | 1212/4288 [25:39<1:05:06,  1.27s/it, avr_loss=0.0872]
steps:  28%|██▊       | 1212/4288 [25:39<1:05:06,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1213/4288 [25:40<1:05:05,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1213/4288 [25:40<1:05:05,  1.27s/it, avr_loss=0.0875]
steps:  28%|██▊       | 1214/4288 [25:41<1:05:03,  1.27s/it, avr_loss=0.0875]
steps:  28%|██▊       | 1214/4288 [25:41<1:05:03,  1.27s/it, avr_loss=0.0879]
steps:  28%|██▊       | 1215/4288 [25:42<1:05:02,  1.27s/it, avr_loss=0.0879]
steps:  28%|██▊       | 1215/4288 [25:42<1:05:02,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1216/4288 [25:44<1:05:01,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1216/4288 [25:44<1:05:01,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1217/4288 [25:45<1:04:59,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1217/4288 [25:45<1:04:59,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1218/4288 [25:46<1:04:58,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1218/4288 [25:46<1:04:58,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1219/4288 [25:48<1:04:57,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1219/4288 [25:48<1:04:57,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1220/4288 [25:49<1:04:55,  1.27s/it, avr_loss=0.0878]
steps:  28%|██▊       | 1220/4288 [25:49<1:04:55,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1221/4288 [25:50<1:04:54,  1.27s/it, avr_loss=0.0877]
steps:  28%|██▊       | 1221/4288 [25:50<1:04:54,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1222/4288 [25:51<1:04:53,  1.27s/it, avr_loss=0.0876]
steps:  28%|██▊       | 1222/4288 [25:51<1:04:53,  1.27s/it, avr_loss=0.0874]
steps:  29%|██▊       | 1223/4288 [25:53<1:04:52,  1.27s/it, avr_loss=0.0874]
steps:  29%|██▊       | 1223/4288 [25:53<1:04:52,  1.27s/it, avr_loss=0.0872]
steps:  29%|██▊       | 1224/4288 [25:54<1:04:50,  1.27s/it, avr_loss=0.0872]
steps:  29%|██▊       | 1224/4288 [25:54<1:04:50,  1.27s/it, avr_loss=0.0872]
steps:  29%|██▊       | 1225/4288 [25:55<1:04:49,  1.27s/it, avr_loss=0.0872]
steps:  29%|██▊       | 1225/4288 [25:55<1:04:49,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1226/4288 [25:57<1:04:48,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1226/4288 [25:57<1:04:48,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1227/4288 [25:58<1:04:47,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1227/4288 [25:58<1:04:47,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1228/4288 [25:59<1:04:46,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1228/4288 [25:59<1:04:46,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1229/4288 [26:00<1:04:43,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1229/4288 [26:00<1:04:43,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1230/4288 [26:01<1:04:42,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1230/4288 [26:01<1:04:42,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1231/4288 [26:02<1:04:40,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▊       | 1231/4288 [26:02<1:04:40,  1.27s/it, avr_loss=0.0875]
steps:  29%|██▊       | 1232/4288 [26:03<1:04:39,  1.27s/it, avr_loss=0.0875]
steps:  29%|██▊       | 1232/4288 [26:03<1:04:39,  1.27s/it, avr_loss=0.0874]
steps:  29%|██▉       | 1233/4288 [26:05<1:04:37,  1.27s/it, avr_loss=0.0874]
steps:  29%|██▉       | 1233/4288 [26:05<1:04:37,  1.27s/it, avr_loss=0.0874]
steps:  29%|██▉       | 1234/4288 [26:06<1:04:36,  1.27s/it, avr_loss=0.0874]
steps:  29%|██▉       | 1234/4288 [26:06<1:04:36,  1.27s/it, avr_loss=0.0872]
steps:  29%|██▉       | 1235/4288 [26:07<1:04:35,  1.27s/it, avr_loss=0.0872]
steps:  29%|██▉       | 1235/4288 [26:07<1:04:35,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▉       | 1236/4288 [26:08<1:04:34,  1.27s/it, avr_loss=0.0873]
steps:  29%|██▉       | 1236/4288 [26:08<1:04:34,  1.27s/it, avr_loss=0.0886]
steps:  29%|██▉       | 1237/4288 [26:10<1:04:32,  1.27s/it, avr_loss=0.0886]
steps:  29%|██▉       | 1237/4288 [26:10<1:04:32,  1.27s/it, avr_loss=0.089] 
steps:  29%|██▉       | 1238/4288 [26:11<1:04:31,  1.27s/it, avr_loss=0.089]
steps:  29%|██▉       | 1238/4288 [26:11<1:04:31,  1.27s/it, avr_loss=0.0892]
steps:  29%|██▉       | 1239/4288 [26:12<1:04:29,  1.27s/it, avr_loss=0.0892]
steps:  29%|██▉       | 1239/4288 [26:12<1:04:29,  1.27s/it, avr_loss=0.0895]
steps:  29%|██▉       | 1240/4288 [26:13<1:04:28,  1.27s/it, avr_loss=0.0895]
steps:  29%|██▉       | 1240/4288 [26:13<1:04:28,  1.27s/it, avr_loss=0.089] 
steps:  29%|██▉       | 1241/4288 [26:14<1:04:27,  1.27s/it, avr_loss=0.089]
steps:  29%|██▉       | 1241/4288 [26:14<1:04:27,  1.27s/it, avr_loss=0.0883]
steps:  29%|██▉       | 1242/4288 [26:16<1:04:25,  1.27s/it, avr_loss=0.0883]
steps:  29%|██▉       | 1242/4288 [26:16<1:04:25,  1.27s/it, avr_loss=0.0883]
steps:  29%|██▉       | 1243/4288 [26:17<1:04:24,  1.27s/it, avr_loss=0.0883]
steps:  29%|██▉       | 1243/4288 [26:17<1:04:24,  1.27s/it, avr_loss=0.0884]
steps:  29%|██▉       | 1244/4288 [26:18<1:04:23,  1.27s/it, avr_loss=0.0884]
steps:  29%|██▉       | 1244/4288 [26:18<1:04:23,  1.27s/it, avr_loss=0.0885]
steps:  29%|██▉       | 1245/4288 [26:20<1:04:22,  1.27s/it, avr_loss=0.0885]
steps:  29%|██▉       | 1245/4288 [26:20<1:04:22,  1.27s/it, avr_loss=0.0885]
steps:  29%|██▉       | 1246/4288 [26:21<1:04:20,  1.27s/it, avr_loss=0.0885]
steps:  29%|██▉       | 1246/4288 [26:21<1:04:20,  1.27s/it, avr_loss=0.0888]
steps:  29%|██▉       | 1247/4288 [26:22<1:04:19,  1.27s/it, avr_loss=0.0888]
steps:  29%|██▉       | 1247/4288 [26:22<1:04:19,  1.27s/it, avr_loss=0.0888]
steps:  29%|██▉       | 1248/4288 [26:23<1:04:18,  1.27s/it, avr_loss=0.0888]
steps:  29%|██▉       | 1248/4288 [26:23<1:04:18,  1.27s/it, avr_loss=0.0886]
steps:  29%|██▉       | 1249/4288 [26:25<1:04:17,  1.27s/it, avr_loss=0.0886]
steps:  29%|██▉       | 1249/4288 [26:25<1:04:17,  1.27s/it, avr_loss=0.0886]
steps:  29%|██▉       | 1250/4288 [26:26<1:04:16,  1.27s/it, avr_loss=0.0886]
steps:  29%|██▉       | 1250/4288 [26:26<1:04:16,  1.27s/it, avr_loss=0.0884]
steps:  29%|██▉       | 1251/4288 [26:27<1:04:14,  1.27s/it, avr_loss=0.0884]
steps:  29%|██▉       | 1251/4288 [26:27<1:04:14,  1.27s/it, avr_loss=0.0883]
steps:  29%|██▉       | 1252/4288 [26:29<1:04:13,  1.27s/it, avr_loss=0.0883]
steps:  29%|██▉       | 1252/4288 [26:29<1:04:13,  1.27s/it, avr_loss=0.088] 
steps:  29%|██▉       | 1253/4288 [26:30<1:04:11,  1.27s/it, avr_loss=0.088]
steps:  29%|██▉       | 1253/4288 [26:30<1:04:11,  1.27s/it, avr_loss=0.0879]
steps:  29%|██▉       | 1254/4288 [26:31<1:04:10,  1.27s/it, avr_loss=0.0879]
steps:  29%|██▉       | 1254/4288 [26:31<1:04:10,  1.27s/it, avr_loss=0.0877]
steps:  29%|██▉       | 1255/4288 [26:32<1:04:09,  1.27s/it, avr_loss=0.0877]
steps:  29%|██▉       | 1255/4288 [26:32<1:04:09,  1.27s/it, avr_loss=0.0879]
steps:  29%|██▉       | 1256/4288 [26:33<1:04:07,  1.27s/it, avr_loss=0.0879]
steps:  29%|██▉       | 1256/4288 [26:33<1:04:07,  1.27s/it, avr_loss=0.088] 
steps:  29%|██▉       | 1257/4288 [26:35<1:04:06,  1.27s/it, avr_loss=0.088]
steps:  29%|██▉       | 1257/4288 [26:35<1:04:06,  1.27s/it, avr_loss=0.0882]
steps:  29%|██▉       | 1258/4288 [26:36<1:04:05,  1.27s/it, avr_loss=0.0882]
steps:  29%|██▉       | 1258/4288 [26:36<1:04:05,  1.27s/it, avr_loss=0.0877]
steps:  29%|██▉       | 1259/4288 [26:37<1:04:04,  1.27s/it, avr_loss=0.0877]
steps:  29%|██▉       | 1259/4288 [26:37<1:04:04,  1.27s/it, avr_loss=0.0877]
steps:  29%|██▉       | 1260/4288 [26:39<1:04:03,  1.27s/it, avr_loss=0.0877]
steps:  29%|██▉       | 1260/4288 [26:39<1:04:03,  1.27s/it, avr_loss=0.0876]
steps:  29%|██▉       | 1261/4288 [26:40<1:04:01,  1.27s/it, avr_loss=0.0876]
steps:  29%|██▉       | 1261/4288 [26:40<1:04:01,  1.27s/it, avr_loss=0.0875]
steps:  29%|██▉       | 1262/4288 [26:41<1:04:00,  1.27s/it, avr_loss=0.0875]
steps:  29%|██▉       | 1262/4288 [26:41<1:04:00,  1.27s/it, avr_loss=0.0875]
steps:  29%|██▉       | 1263/4288 [26:43<1:03:59,  1.27s/it, avr_loss=0.0875]
steps:  29%|██▉       | 1263/4288 [26:43<1:03:59,  1.27s/it, avr_loss=0.0877]
steps:  29%|██▉       | 1264/4288 [26:44<1:03:58,  1.27s/it, avr_loss=0.0877]
steps:  29%|██▉       | 1264/4288 [26:44<1:03:58,  1.27s/it, avr_loss=0.0878]
steps:  30%|██▉       | 1265/4288 [26:45<1:03:57,  1.27s/it, avr_loss=0.0878]
steps:  30%|██▉       | 1265/4288 [26:45<1:03:57,  1.27s/it, avr_loss=0.0877]
steps:  30%|██▉       | 1266/4288 [26:46<1:03:55,  1.27s/it, avr_loss=0.0877]
steps:  30%|██▉       | 1266/4288 [26:46<1:03:55,  1.27s/it, avr_loss=0.0875]
steps:  30%|██▉       | 1267/4288 [26:48<1:03:54,  1.27s/it, avr_loss=0.0875]
steps:  30%|██▉       | 1267/4288 [26:48<1:03:54,  1.27s/it, avr_loss=0.0874]
steps:  30%|██▉       | 1268/4288 [26:49<1:03:53,  1.27s/it, avr_loss=0.0874]
steps:  30%|██▉       | 1268/4288 [26:49<1:03:53,  1.27s/it, avr_loss=0.0871]
steps:  30%|██▉       | 1269/4288 [26:50<1:03:51,  1.27s/it, avr_loss=0.0871]
steps:  30%|██▉       | 1269/4288 [26:50<1:03:51,  1.27s/it, avr_loss=0.0872]
steps:  30%|██▉       | 1270/4288 [26:51<1:03:50,  1.27s/it, avr_loss=0.0872]
steps:  30%|██▉       | 1270/4288 [26:51<1:03:50,  1.27s/it, avr_loss=0.0873]
steps:  30%|██▉       | 1271/4288 [26:53<1:03:49,  1.27s/it, avr_loss=0.0873]
steps:  30%|██▉       | 1271/4288 [26:53<1:03:49,  1.27s/it, avr_loss=0.0872]
steps:  30%|██▉       | 1272/4288 [26:54<1:03:48,  1.27s/it, avr_loss=0.0872]
steps:  30%|██▉       | 1272/4288 [26:54<1:03:48,  1.27s/it, avr_loss=0.087] 
steps:  30%|██▉       | 1273/4288 [26:55<1:03:47,  1.27s/it, avr_loss=0.087]
steps:  30%|██▉       | 1273/4288 [26:55<1:03:47,  1.27s/it, avr_loss=0.0871]
steps:  30%|██▉       | 1274/4288 [26:57<1:03:45,  1.27s/it, avr_loss=0.0871]
steps:  30%|██▉       | 1274/4288 [26:57<1:03:45,  1.27s/it, avr_loss=0.0873]
steps:  30%|██▉       | 1275/4288 [26:58<1:03:45,  1.27s/it, avr_loss=0.0873]
steps:  30%|██▉       | 1275/4288 [26:58<1:03:45,  1.27s/it, avr_loss=0.0878]
steps:  30%|██▉       | 1276/4288 [26:59<1:03:43,  1.27s/it, avr_loss=0.0878]
steps:  30%|██▉       | 1276/4288 [26:59<1:03:43,  1.27s/it, avr_loss=0.0878]
steps:  30%|██▉       | 1277/4288 [27:01<1:03:42,  1.27s/it, avr_loss=0.0878]
steps:  30%|██▉       | 1277/4288 [27:01<1:03:42,  1.27s/it, avr_loss=0.0877]
steps:  30%|██▉       | 1278/4288 [27:02<1:03:41,  1.27s/it, avr_loss=0.0877]
steps:  30%|██▉       | 1278/4288 [27:02<1:03:41,  1.27s/it, avr_loss=0.0876]
steps:  30%|██▉       | 1279/4288 [27:03<1:03:39,  1.27s/it, avr_loss=0.0876]
steps:  30%|██▉       | 1279/4288 [27:03<1:03:39,  1.27s/it, avr_loss=0.0872]
steps:  30%|██▉       | 1280/4288 [27:04<1:03:38,  1.27s/it, avr_loss=0.0872]
steps:  30%|██▉       | 1280/4288 [27:04<1:03:38,  1.27s/it, avr_loss=0.0873]
steps:  30%|██▉       | 1281/4288 [27:06<1:03:37,  1.27s/it, avr_loss=0.0873]
steps:  30%|██▉       | 1281/4288 [27:06<1:03:37,  1.27s/it, avr_loss=0.0876]
steps:  30%|██▉       | 1282/4288 [27:07<1:03:35,  1.27s/it, avr_loss=0.0876]
steps:  30%|██▉       | 1282/4288 [27:07<1:03:35,  1.27s/it, avr_loss=0.0876]
steps:  30%|██▉       | 1283/4288 [27:08<1:03:34,  1.27s/it, avr_loss=0.0876]
steps:  30%|██▉       | 1283/4288 [27:08<1:03:34,  1.27s/it, avr_loss=0.0878]
steps:  30%|██▉       | 1284/4288 [27:09<1:03:33,  1.27s/it, avr_loss=0.0878]
steps:  30%|██▉       | 1284/4288 [27:09<1:03:33,  1.27s/it, avr_loss=0.0875]
steps:  30%|██▉       | 1285/4288 [27:11<1:03:32,  1.27s/it, avr_loss=0.0875]
steps:  30%|██▉       | 1285/4288 [27:11<1:03:32,  1.27s/it, avr_loss=0.0877]
steps:  30%|██▉       | 1286/4288 [27:12<1:03:30,  1.27s/it, avr_loss=0.0877]
steps:  30%|██▉       | 1286/4288 [27:12<1:03:30,  1.27s/it, avr_loss=0.0873]
steps:  30%|███       | 1287/4288 [27:13<1:03:29,  1.27s/it, avr_loss=0.0873]
steps:  30%|███       | 1287/4288 [27:13<1:03:29,  1.27s/it, avr_loss=0.0871]
steps:  30%|███       | 1288/4288 [27:14<1:03:28,  1.27s/it, avr_loss=0.0871]
steps:  30%|███       | 1288/4288 [27:14<1:03:28,  1.27s/it, avr_loss=0.0868]
steps:  30%|███       | 1289/4288 [27:16<1:03:27,  1.27s/it, avr_loss=0.0868]
steps:  30%|███       | 1289/4288 [27:16<1:03:27,  1.27s/it, avr_loss=0.0867]
steps:  30%|███       | 1290/4288 [27:17<1:03:25,  1.27s/it, avr_loss=0.0867]
steps:  30%|███       | 1290/4288 [27:17<1:03:25,  1.27s/it, avr_loss=0.0865]
steps:  30%|███       | 1291/4288 [27:18<1:03:24,  1.27s/it, avr_loss=0.0865]
steps:  30%|███       | 1291/4288 [27:18<1:03:24,  1.27s/it, avr_loss=0.0865]
steps:  30%|███       | 1292/4288 [27:20<1:03:23,  1.27s/it, avr_loss=0.0865]
steps:  30%|███       | 1292/4288 [27:20<1:03:23,  1.27s/it, avr_loss=0.0862]
steps:  30%|███       | 1293/4288 [27:21<1:03:22,  1.27s/it, avr_loss=0.0862]
steps:  30%|███       | 1293/4288 [27:21<1:03:22,  1.27s/it, avr_loss=0.0862]
steps:  30%|███       | 1294/4288 [27:22<1:03:21,  1.27s/it, avr_loss=0.0862]
steps:  30%|███       | 1294/4288 [27:22<1:03:21,  1.27s/it, avr_loss=0.0863]
steps:  30%|███       | 1295/4288 [27:24<1:03:19,  1.27s/it, avr_loss=0.0863]
steps:  30%|███       | 1295/4288 [27:24<1:03:19,  1.27s/it, avr_loss=0.086] 
steps:  30%|███       | 1296/4288 [27:25<1:03:18,  1.27s/it, avr_loss=0.086]
steps:  30%|███       | 1296/4288 [27:25<1:03:18,  1.27s/it, avr_loss=0.0861]
steps:  30%|███       | 1297/4288 [27:26<1:03:17,  1.27s/it, avr_loss=0.0861]
steps:  30%|███       | 1297/4288 [27:26<1:03:17,  1.27s/it, avr_loss=0.0861]
steps:  30%|███       | 1298/4288 [27:27<1:03:15,  1.27s/it, avr_loss=0.0861]
steps:  30%|███       | 1298/4288 [27:27<1:03:15,  1.27s/it, avr_loss=0.0862]
steps:  30%|███       | 1299/4288 [27:28<1:03:14,  1.27s/it, avr_loss=0.0862]
steps:  30%|███       | 1299/4288 [27:28<1:03:14,  1.27s/it, avr_loss=0.0865]
steps:  30%|███       | 1300/4288 [27:30<1:03:13,  1.27s/it, avr_loss=0.0865]
steps:  30%|███       | 1300/4288 [27:30<1:03:13,  1.27s/it, avr_loss=0.0869]
steps:  30%|███       | 1301/4288 [27:31<1:03:12,  1.27s/it, avr_loss=0.0869]
steps:  30%|███       | 1301/4288 [27:31<1:03:12,  1.27s/it, avr_loss=0.0874]
steps:  30%|███       | 1302/4288 [27:32<1:03:10,  1.27s/it, avr_loss=0.0874]
steps:  30%|███       | 1302/4288 [27:32<1:03:10,  1.27s/it, avr_loss=0.0874]
steps:  30%|███       | 1303/4288 [27:34<1:03:09,  1.27s/it, avr_loss=0.0874]
steps:  30%|███       | 1303/4288 [27:34<1:03:09,  1.27s/it, avr_loss=0.0873]
steps:  30%|███       | 1304/4288 [27:35<1:03:08,  1.27s/it, avr_loss=0.0873]
steps:  30%|███       | 1304/4288 [27:35<1:03:08,  1.27s/it, avr_loss=0.0875]
steps:  30%|███       | 1305/4288 [27:36<1:03:07,  1.27s/it, avr_loss=0.0875]
steps:  30%|███       | 1305/4288 [27:36<1:03:07,  1.27s/it, avr_loss=0.0875]
steps:  30%|███       | 1306/4288 [27:38<1:03:06,  1.27s/it, avr_loss=0.0875]
steps:  30%|███       | 1306/4288 [27:38<1:03:06,  1.27s/it, avr_loss=0.0873]
steps:  30%|███       | 1307/4288 [27:39<1:03:05,  1.27s/it, avr_loss=0.0873]
steps:  30%|███       | 1307/4288 [27:39<1:03:05,  1.27s/it, avr_loss=0.0872]
steps:  31%|███       | 1308/4288 [27:40<1:03:03,  1.27s/it, avr_loss=0.0872]
steps:  31%|███       | 1308/4288 [27:40<1:03:03,  1.27s/it, avr_loss=0.0871]
steps:  31%|███       | 1309/4288 [27:42<1:03:02,  1.27s/it, avr_loss=0.0871]
steps:  31%|███       | 1309/4288 [27:42<1:03:02,  1.27s/it, avr_loss=0.087] 
steps:  31%|███       | 1310/4288 [27:43<1:03:01,  1.27s/it, avr_loss=0.087]
steps:  31%|███       | 1310/4288 [27:43<1:03:01,  1.27s/it, avr_loss=0.087]
steps:  31%|███       | 1311/4288 [27:44<1:02:59,  1.27s/it, avr_loss=0.087]
steps:  31%|███       | 1311/4288 [27:44<1:02:59,  1.27s/it, avr_loss=0.0871]
steps:  31%|███       | 1312/4288 [27:45<1:02:58,  1.27s/it, avr_loss=0.0871]
steps:  31%|███       | 1312/4288 [27:45<1:02:58,  1.27s/it, avr_loss=0.0873]
steps:  31%|███       | 1313/4288 [27:46<1:02:57,  1.27s/it, avr_loss=0.0873]
steps:  31%|███       | 1313/4288 [27:46<1:02:57,  1.27s/it, avr_loss=0.0873]
steps:  31%|███       | 1314/4288 [27:48<1:02:56,  1.27s/it, avr_loss=0.0873]
steps:  31%|███       | 1314/4288 [27:48<1:02:56,  1.27s/it, avr_loss=0.087] 
steps:  31%|███       | 1315/4288 [27:49<1:02:54,  1.27s/it, avr_loss=0.087]
steps:  31%|███       | 1315/4288 [27:49<1:02:54,  1.27s/it, avr_loss=0.0869]
steps:  31%|███       | 1316/4288 [27:50<1:02:53,  1.27s/it, avr_loss=0.0869]
steps:  31%|███       | 1316/4288 [27:50<1:02:53,  1.27s/it, avr_loss=0.0868]
steps:  31%|███       | 1317/4288 [27:52<1:02:52,  1.27s/it, avr_loss=0.0868]
steps:  31%|███       | 1317/4288 [27:52<1:02:52,  1.27s/it, avr_loss=0.0867]
steps:  31%|███       | 1318/4288 [27:53<1:02:50,  1.27s/it, avr_loss=0.0867]
steps:  31%|███       | 1318/4288 [27:53<1:02:50,  1.27s/it, avr_loss=0.0867]
steps:  31%|███       | 1319/4288 [27:54<1:02:49,  1.27s/it, avr_loss=0.0867]
steps:  31%|███       | 1319/4288 [27:54<1:02:49,  1.27s/it, avr_loss=0.0864]
steps:  31%|███       | 1320/4288 [27:55<1:02:48,  1.27s/it, avr_loss=0.0864]
steps:  31%|███       | 1320/4288 [27:55<1:02:48,  1.27s/it, avr_loss=0.0866]
steps:  31%|███       | 1321/4288 [27:57<1:02:46,  1.27s/it, avr_loss=0.0866]
steps:  31%|███       | 1321/4288 [27:57<1:02:46,  1.27s/it, avr_loss=0.0865]
steps:  31%|███       | 1322/4288 [27:58<1:02:45,  1.27s/it, avr_loss=0.0865]
steps:  31%|███       | 1322/4288 [27:58<1:02:45,  1.27s/it, avr_loss=0.0864]
steps:  31%|███       | 1323/4288 [27:59<1:02:44,  1.27s/it, avr_loss=0.0864]
steps:  31%|███       | 1323/4288 [27:59<1:02:44,  1.27s/it, avr_loss=0.0866]
steps:  31%|███       | 1324/4288 [28:00<1:02:42,  1.27s/it, avr_loss=0.0866]
steps:  31%|███       | 1324/4288 [28:00<1:02:42,  1.27s/it, avr_loss=0.0864]
steps:  31%|███       | 1325/4288 [28:02<1:02:41,  1.27s/it, avr_loss=0.0864]
steps:  31%|███       | 1325/4288 [28:02<1:02:41,  1.27s/it, avr_loss=0.0855]
steps:  31%|███       | 1326/4288 [28:03<1:02:40,  1.27s/it, avr_loss=0.0855]
steps:  31%|███       | 1326/4288 [28:03<1:02:40,  1.27s/it, avr_loss=0.0858]
steps:  31%|███       | 1327/4288 [28:04<1:02:39,  1.27s/it, avr_loss=0.0858]
steps:  31%|███       | 1327/4288 [28:04<1:02:39,  1.27s/it, avr_loss=0.0858]
steps:  31%|███       | 1328/4288 [28:05<1:02:37,  1.27s/it, avr_loss=0.0858]
steps:  31%|███       | 1328/4288 [28:05<1:02:37,  1.27s/it, avr_loss=0.0859]
steps:  31%|███       | 1329/4288 [28:07<1:02:36,  1.27s/it, avr_loss=0.0859]
steps:  31%|███       | 1329/4288 [28:07<1:02:36,  1.27s/it, avr_loss=0.0861]
steps:  31%|███       | 1330/4288 [28:08<1:02:35,  1.27s/it, avr_loss=0.0861]
steps:  31%|███       | 1330/4288 [28:08<1:02:35,  1.27s/it, avr_loss=0.0861]
steps:  31%|███       | 1331/4288 [28:09<1:02:34,  1.27s/it, avr_loss=0.0861]
steps:  31%|███       | 1331/4288 [28:09<1:02:34,  1.27s/it, avr_loss=0.0859]
steps:  31%|███       | 1332/4288 [28:11<1:02:33,  1.27s/it, avr_loss=0.0859]
steps:  31%|███       | 1332/4288 [28:11<1:02:33,  1.27s/it, avr_loss=0.0858]
steps:  31%|███       | 1333/4288 [28:12<1:02:31,  1.27s/it, avr_loss=0.0858]
steps:  31%|███       | 1333/4288 [28:12<1:02:31,  1.27s/it, avr_loss=0.0859]
steps:  31%|███       | 1334/4288 [28:13<1:02:30,  1.27s/it, avr_loss=0.0859]
steps:  31%|███       | 1334/4288 [28:13<1:02:30,  1.27s/it, avr_loss=0.0859]
steps:  31%|███       | 1335/4288 [28:15<1:02:29,  1.27s/it, avr_loss=0.0859]
steps:  31%|███       | 1335/4288 [28:15<1:02:29,  1.27s/it, avr_loss=0.0853]
steps:  31%|███       | 1336/4288 [28:16<1:02:27,  1.27s/it, avr_loss=0.0853]
steps:  31%|███       | 1336/4288 [28:16<1:02:27,  1.27s/it, avr_loss=0.0852]
steps:  31%|███       | 1337/4288 [28:17<1:02:26,  1.27s/it, avr_loss=0.0852]
steps:  31%|███       | 1337/4288 [28:17<1:02:26,  1.27s/it, avr_loss=0.0852]
steps:  31%|███       | 1338/4288 [28:18<1:02:25,  1.27s/it, avr_loss=0.0852]
steps:  31%|███       | 1338/4288 [28:18<1:02:25,  1.27s/it, avr_loss=0.0853]
steps:  31%|███       | 1339/4288 [28:19<1:02:23,  1.27s/it, avr_loss=0.0853]
steps:  31%|███       | 1339/4288 [28:19<1:02:23,  1.27s/it, avr_loss=0.0852]
steps:  31%|███▏      | 1340/4288 [28:21<1:02:22,  1.27s/it, avr_loss=0.0852]
steps:  31%|███▏      | 1340/4288 [28:21<1:02:22,  1.27s/it, avr_loss=0.0852]2026-07-24 14:04:02 INFO     epoch is incremented. current_epoch: dataset.py:464
                             5, epoch: 6                                        
2026-07-24 14:04:02 INFO     epoch is incremented. current_epoch: dataset.py:464
                             5, epoch: 6                                        

steps:  31%|███▏      | 1341/4288 [28:22<1:02:21,  1.27s/it, avr_loss=0.0852]
steps:  31%|███▏      | 1341/4288 [28:22<1:02:21,  1.27s/it, avr_loss=0.0854]
steps:  31%|███▏      | 1342/4288 [28:23<1:02:19,  1.27s/it, avr_loss=0.0854]
steps:  31%|███▏      | 1342/4288 [28:23<1:02:19,  1.27s/it, avr_loss=0.0854]
steps:  31%|███▏      | 1343/4288 [28:24<1:02:18,  1.27s/it, avr_loss=0.0854]
steps:  31%|███▏      | 1343/4288 [28:24<1:02:18,  1.27s/it, avr_loss=0.0853]
steps:  31%|███▏      | 1344/4288 [28:26<1:02:17,  1.27s/it, avr_loss=0.0853]
steps:  31%|███▏      | 1344/4288 [28:26<1:02:17,  1.27s/it, avr_loss=0.0854]
steps:  31%|███▏      | 1345/4288 [28:27<1:02:15,  1.27s/it, avr_loss=0.0854]
steps:  31%|███▏      | 1345/4288 [28:27<1:02:15,  1.27s/it, avr_loss=0.0852]
steps:  31%|███▏      | 1346/4288 [28:28<1:02:14,  1.27s/it, avr_loss=0.0852]
steps:  31%|███▏      | 1346/4288 [28:28<1:02:14,  1.27s/it, avr_loss=0.0853]
steps:  31%|███▏      | 1347/4288 [28:29<1:02:13,  1.27s/it, avr_loss=0.0853]
steps:  31%|███▏      | 1347/4288 [28:29<1:02:13,  1.27s/it, avr_loss=0.0848]
steps:  31%|███▏      | 1348/4288 [28:31<1:02:11,  1.27s/it, avr_loss=0.0848]
steps:  31%|███▏      | 1348/4288 [28:31<1:02:11,  1.27s/it, avr_loss=0.0849]
steps:  31%|███▏      | 1349/4288 [28:32<1:02:10,  1.27s/it, avr_loss=0.0849]
steps:  31%|███▏      | 1349/4288 [28:32<1:02:10,  1.27s/it, avr_loss=0.085] 
steps:  31%|███▏      | 1350/4288 [28:33<1:02:09,  1.27s/it, avr_loss=0.085]
steps:  31%|███▏      | 1350/4288 [28:33<1:02:09,  1.27s/it, avr_loss=0.0847]
steps:  32%|███▏      | 1351/4288 [28:34<1:02:08,  1.27s/it, avr_loss=0.0847]
steps:  32%|███▏      | 1351/4288 [28:34<1:02:08,  1.27s/it, avr_loss=0.0847]
steps:  32%|███▏      | 1352/4288 [28:36<1:02:07,  1.27s/it, avr_loss=0.0847]
steps:  32%|███▏      | 1352/4288 [28:36<1:02:07,  1.27s/it, avr_loss=0.0846]
steps:  32%|███▏      | 1353/4288 [28:37<1:02:06,  1.27s/it, avr_loss=0.0846]
steps:  32%|███▏      | 1353/4288 [28:37<1:02:06,  1.27s/it, avr_loss=0.0846]
steps:  32%|███▏      | 1354/4288 [28:39<1:02:04,  1.27s/it, avr_loss=0.0846]
steps:  32%|███▏      | 1354/4288 [28:39<1:02:04,  1.27s/it, avr_loss=0.0846]
steps:  32%|███▏      | 1355/4288 [28:40<1:02:03,  1.27s/it, avr_loss=0.0846]
steps:  32%|███▏      | 1355/4288 [28:40<1:02:03,  1.27s/it, avr_loss=0.0845]
steps:  32%|███▏      | 1356/4288 [28:41<1:02:02,  1.27s/it, avr_loss=0.0845]
steps:  32%|███▏      | 1356/4288 [28:41<1:02:02,  1.27s/it, avr_loss=0.0844]
steps:  32%|███▏      | 1357/4288 [28:42<1:02:01,  1.27s/it, avr_loss=0.0844]
steps:  32%|███▏      | 1357/4288 [28:42<1:02:01,  1.27s/it, avr_loss=0.0846]
steps:  32%|███▏      | 1358/4288 [28:44<1:02:00,  1.27s/it, avr_loss=0.0846]
steps:  32%|███▏      | 1358/4288 [28:44<1:02:00,  1.27s/it, avr_loss=0.0845]
steps:  32%|███▏      | 1359/4288 [28:45<1:01:58,  1.27s/it, avr_loss=0.0845]
steps:  32%|███▏      | 1359/4288 [28:45<1:01:58,  1.27s/it, avr_loss=0.0848]
steps:  32%|███▏      | 1360/4288 [28:46<1:01:57,  1.27s/it, avr_loss=0.0848]
steps:  32%|███▏      | 1360/4288 [28:46<1:01:57,  1.27s/it, avr_loss=0.085] 
steps:  32%|███▏      | 1361/4288 [28:48<1:01:56,  1.27s/it, avr_loss=0.085]
steps:  32%|███▏      | 1361/4288 [28:48<1:01:56,  1.27s/it, avr_loss=0.0851]
steps:  32%|███▏      | 1362/4288 [28:49<1:01:55,  1.27s/it, avr_loss=0.0851]
steps:  32%|███▏      | 1362/4288 [28:49<1:01:55,  1.27s/it, avr_loss=0.0852]
steps:  32%|███▏      | 1363/4288 [28:50<1:01:53,  1.27s/it, avr_loss=0.0852]
steps:  32%|███▏      | 1363/4288 [28:50<1:01:53,  1.27s/it, avr_loss=0.0848]
steps:  32%|███▏      | 1364/4288 [28:51<1:01:52,  1.27s/it, avr_loss=0.0848]
steps:  32%|███▏      | 1364/4288 [28:51<1:01:52,  1.27s/it, avr_loss=0.0848]
steps:  32%|███▏      | 1365/4288 [28:53<1:01:51,  1.27s/it, avr_loss=0.0848]
steps:  32%|███▏      | 1365/4288 [28:53<1:01:51,  1.27s/it, avr_loss=0.0848]
steps:  32%|███▏      | 1366/4288 [28:54<1:01:50,  1.27s/it, avr_loss=0.0848]
steps:  32%|███▏      | 1366/4288 [28:54<1:01:50,  1.27s/it, avr_loss=0.0842]
steps:  32%|███▏      | 1367/4288 [28:55<1:01:49,  1.27s/it, avr_loss=0.0842]
steps:  32%|███▏      | 1367/4288 [28:55<1:01:49,  1.27s/it, avr_loss=0.0841]
steps:  32%|███▏      | 1368/4288 [28:57<1:01:48,  1.27s/it, avr_loss=0.0841]
steps:  32%|███▏      | 1368/4288 [28:57<1:01:48,  1.27s/it, avr_loss=0.0842]
steps:  32%|███▏      | 1369/4288 [28:58<1:01:46,  1.27s/it, avr_loss=0.0842]
steps:  32%|███▏      | 1369/4288 [28:58<1:01:46,  1.27s/it, avr_loss=0.084] 
steps:  32%|███▏      | 1370/4288 [28:59<1:01:45,  1.27s/it, avr_loss=0.084]
steps:  32%|███▏      | 1370/4288 [28:59<1:01:45,  1.27s/it, avr_loss=0.084]
steps:  32%|███▏      | 1371/4288 [29:01<1:01:44,  1.27s/it, avr_loss=0.084]
steps:  32%|███▏      | 1371/4288 [29:01<1:01:44,  1.27s/it, avr_loss=0.084]
steps:  32%|███▏      | 1372/4288 [29:02<1:01:43,  1.27s/it, avr_loss=0.084]
steps:  32%|███▏      | 1372/4288 [29:02<1:01:43,  1.27s/it, avr_loss=0.084]
steps:  32%|███▏      | 1373/4288 [29:03<1:01:41,  1.27s/it, avr_loss=0.084]
steps:  32%|███▏      | 1373/4288 [29:03<1:01:41,  1.27s/it, avr_loss=0.0841]
steps:  32%|███▏      | 1374/4288 [29:04<1:01:40,  1.27s/it, avr_loss=0.0841]
steps:  32%|███▏      | 1374/4288 [29:04<1:01:40,  1.27s/it, avr_loss=0.084] 
steps:  32%|███▏      | 1375/4288 [29:06<1:01:39,  1.27s/it, avr_loss=0.084]
steps:  32%|███▏      | 1375/4288 [29:06<1:01:39,  1.27s/it, avr_loss=0.0833]
steps:  32%|███▏      | 1376/4288 [29:07<1:01:37,  1.27s/it, avr_loss=0.0833]
steps:  32%|███▏      | 1376/4288 [29:07<1:01:37,  1.27s/it, avr_loss=0.083] 
steps:  32%|███▏      | 1377/4288 [29:08<1:01:36,  1.27s/it, avr_loss=0.083]
steps:  32%|███▏      | 1377/4288 [29:08<1:01:36,  1.27s/it, avr_loss=0.0829]
steps:  32%|███▏      | 1378/4288 [29:09<1:01:35,  1.27s/it, avr_loss=0.0829]
steps:  32%|███▏      | 1378/4288 [29:09<1:01:35,  1.27s/it, avr_loss=0.083] 
steps:  32%|███▏      | 1379/4288 [29:11<1:01:34,  1.27s/it, avr_loss=0.083]
steps:  32%|███▏      | 1379/4288 [29:11<1:01:34,  1.27s/it, avr_loss=0.0827]
steps:  32%|███▏      | 1380/4288 [29:12<1:01:33,  1.27s/it, avr_loss=0.0827]
steps:  32%|███▏      | 1380/4288 [29:12<1:01:33,  1.27s/it, avr_loss=0.0827]
steps:  32%|███▏      | 1381/4288 [29:13<1:01:32,  1.27s/it, avr_loss=0.0827]
steps:  32%|███▏      | 1381/4288 [29:13<1:01:32,  1.27s/it, avr_loss=0.0824]
steps:  32%|███▏      | 1382/4288 [29:15<1:01:30,  1.27s/it, avr_loss=0.0824]
steps:  32%|███▏      | 1382/4288 [29:15<1:01:30,  1.27s/it, avr_loss=0.0824]
steps:  32%|███▏      | 1383/4288 [29:16<1:01:29,  1.27s/it, avr_loss=0.0824]
steps:  32%|███▏      | 1383/4288 [29:16<1:01:29,  1.27s/it, avr_loss=0.0826]
steps:  32%|███▏      | 1384/4288 [29:17<1:01:28,  1.27s/it, avr_loss=0.0826]
steps:  32%|███▏      | 1384/4288 [29:17<1:01:28,  1.27s/it, avr_loss=0.0826]
steps:  32%|███▏      | 1385/4288 [29:18<1:01:26,  1.27s/it, avr_loss=0.0826]
steps:  32%|███▏      | 1385/4288 [29:18<1:01:26,  1.27s/it, avr_loss=0.0827]
steps:  32%|███▏      | 1386/4288 [29:20<1:01:25,  1.27s/it, avr_loss=0.0827]
steps:  32%|███▏      | 1386/4288 [29:20<1:01:25,  1.27s/it, avr_loss=0.0828]
steps:  32%|███▏      | 1387/4288 [29:21<1:01:24,  1.27s/it, avr_loss=0.0828]
steps:  32%|███▏      | 1387/4288 [29:21<1:01:24,  1.27s/it, avr_loss=0.0819]
steps:  32%|███▏      | 1388/4288 [29:22<1:01:23,  1.27s/it, avr_loss=0.0819]
steps:  32%|███▏      | 1388/4288 [29:22<1:01:23,  1.27s/it, avr_loss=0.0818]
steps:  32%|███▏      | 1389/4288 [29:24<1:01:21,  1.27s/it, avr_loss=0.0818]
steps:  32%|███▏      | 1389/4288 [29:24<1:01:21,  1.27s/it, avr_loss=0.0818]
steps:  32%|███▏      | 1390/4288 [29:25<1:01:20,  1.27s/it, avr_loss=0.0818]
steps:  32%|███▏      | 1390/4288 [29:25<1:01:20,  1.27s/it, avr_loss=0.0819]
steps:  32%|███▏      | 1391/4288 [29:26<1:01:19,  1.27s/it, avr_loss=0.0819]
steps:  32%|███▏      | 1391/4288 [29:26<1:01:19,  1.27s/it, avr_loss=0.082] 
steps:  32%|███▏      | 1392/4288 [29:27<1:01:18,  1.27s/it, avr_loss=0.082]
steps:  32%|███▏      | 1392/4288 [29:27<1:01:18,  1.27s/it, avr_loss=0.0821]
steps:  32%|███▏      | 1393/4288 [29:29<1:01:16,  1.27s/it, avr_loss=0.0821]
steps:  32%|███▏      | 1393/4288 [29:29<1:01:16,  1.27s/it, avr_loss=0.0822]
steps:  33%|███▎      | 1394/4288 [29:30<1:01:15,  1.27s/it, avr_loss=0.0822]
steps:  33%|███▎      | 1394/4288 [29:30<1:01:15,  1.27s/it, avr_loss=0.0821]
steps:  33%|███▎      | 1395/4288 [29:31<1:01:14,  1.27s/it, avr_loss=0.0821]
steps:  33%|███▎      | 1395/4288 [29:31<1:01:14,  1.27s/it, avr_loss=0.0823]
steps:  33%|███▎      | 1396/4288 [29:33<1:01:13,  1.27s/it, avr_loss=0.0823]
steps:  33%|███▎      | 1396/4288 [29:33<1:01:13,  1.27s/it, avr_loss=0.0822]
steps:  33%|███▎      | 1397/4288 [29:34<1:01:12,  1.27s/it, avr_loss=0.0822]
steps:  33%|███▎      | 1397/4288 [29:34<1:01:12,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1398/4288 [29:35<1:01:10,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1398/4288 [29:35<1:01:10,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1399/4288 [29:36<1:01:09,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1399/4288 [29:36<1:01:09,  1.27s/it, avr_loss=0.0819]
steps:  33%|███▎      | 1400/4288 [29:38<1:01:07,  1.27s/it, avr_loss=0.0819]
steps:  33%|███▎      | 1400/4288 [29:38<1:01:07,  1.27s/it, avr_loss=0.0816]
steps:  33%|███▎      | 1401/4288 [29:39<1:01:06,  1.27s/it, avr_loss=0.0816]
steps:  33%|███▎      | 1401/4288 [29:39<1:01:06,  1.27s/it, avr_loss=0.0816]
steps:  33%|███▎      | 1402/4288 [29:40<1:01:05,  1.27s/it, avr_loss=0.0816]
steps:  33%|███▎      | 1402/4288 [29:40<1:01:05,  1.27s/it, avr_loss=0.0817]
steps:  33%|███▎      | 1403/4288 [29:42<1:01:04,  1.27s/it, avr_loss=0.0817]
steps:  33%|███▎      | 1403/4288 [29:42<1:01:04,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1404/4288 [29:43<1:01:03,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1404/4288 [29:43<1:01:03,  1.27s/it, avr_loss=0.0817]
steps:  33%|███▎      | 1405/4288 [29:44<1:01:02,  1.27s/it, avr_loss=0.0817]
steps:  33%|███▎      | 1405/4288 [29:44<1:01:02,  1.27s/it, avr_loss=0.0817]
steps:  33%|███▎      | 1406/4288 [29:46<1:01:01,  1.27s/it, avr_loss=0.0817]
steps:  33%|███▎      | 1406/4288 [29:46<1:01:01,  1.27s/it, avr_loss=0.0821]
steps:  33%|███▎      | 1407/4288 [29:47<1:00:59,  1.27s/it, avr_loss=0.0821]
steps:  33%|███▎      | 1407/4288 [29:47<1:00:59,  1.27s/it, avr_loss=0.082] 
steps:  33%|███▎      | 1408/4288 [29:48<1:00:58,  1.27s/it, avr_loss=0.082]
steps:  33%|███▎      | 1408/4288 [29:48<1:00:58,  1.27s/it, avr_loss=0.0819]
steps:  33%|███▎      | 1409/4288 [29:49<1:00:57,  1.27s/it, avr_loss=0.0819]
steps:  33%|███▎      | 1409/4288 [29:49<1:00:57,  1.27s/it, avr_loss=0.0822]
steps:  33%|███▎      | 1410/4288 [29:51<1:00:55,  1.27s/it, avr_loss=0.0822]
steps:  33%|███▎      | 1410/4288 [29:51<1:00:55,  1.27s/it, avr_loss=0.0821]
steps:  33%|███▎      | 1411/4288 [29:52<1:00:54,  1.27s/it, avr_loss=0.0821]
steps:  33%|███▎      | 1411/4288 [29:52<1:00:54,  1.27s/it, avr_loss=0.0824]
steps:  33%|███▎      | 1412/4288 [29:53<1:00:53,  1.27s/it, avr_loss=0.0824]
steps:  33%|███▎      | 1412/4288 [29:53<1:00:53,  1.27s/it, avr_loss=0.082] 
steps:  33%|███▎      | 1413/4288 [29:54<1:00:52,  1.27s/it, avr_loss=0.082]
steps:  33%|███▎      | 1413/4288 [29:54<1:00:52,  1.27s/it, avr_loss=0.0817]
steps:  33%|███▎      | 1414/4288 [29:56<1:00:50,  1.27s/it, avr_loss=0.0817]
steps:  33%|███▎      | 1414/4288 [29:56<1:00:50,  1.27s/it, avr_loss=0.0821]
steps:  33%|███▎      | 1415/4288 [29:57<1:00:49,  1.27s/it, avr_loss=0.0821]
steps:  33%|███▎      | 1415/4288 [29:57<1:00:49,  1.27s/it, avr_loss=0.0822]
steps:  33%|███▎      | 1416/4288 [29:58<1:00:47,  1.27s/it, avr_loss=0.0822]
steps:  33%|███▎      | 1416/4288 [29:58<1:00:47,  1.27s/it, avr_loss=0.082] 
steps:  33%|███▎      | 1417/4288 [29:59<1:00:46,  1.27s/it, avr_loss=0.082]
steps:  33%|███▎      | 1417/4288 [29:59<1:00:46,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1418/4288 [30:01<1:00:45,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1418/4288 [30:01<1:00:45,  1.27s/it, avr_loss=0.0817]
steps:  33%|███▎      | 1419/4288 [30:02<1:00:44,  1.27s/it, avr_loss=0.0817]
steps:  33%|███▎      | 1419/4288 [30:02<1:00:44,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1420/4288 [30:03<1:00:42,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1420/4288 [30:03<1:00:42,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1421/4288 [30:05<1:00:41,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1421/4288 [30:05<1:00:41,  1.27s/it, avr_loss=0.0819]
steps:  33%|███▎      | 1422/4288 [30:06<1:00:40,  1.27s/it, avr_loss=0.0819]
steps:  33%|███▎      | 1422/4288 [30:06<1:00:40,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1423/4288 [30:07<1:00:38,  1.27s/it, avr_loss=0.0818]
steps:  33%|███▎      | 1423/4288 [30:07<1:00:38,  1.27s/it, avr_loss=0.0816]
steps:  33%|███▎      | 1424/4288 [30:08<1:00:37,  1.27s/it, avr_loss=0.0816]
steps:  33%|███▎      | 1424/4288 [30:08<1:00:37,  1.27s/it, avr_loss=0.0815]
steps:  33%|███▎      | 1425/4288 [30:09<1:00:36,  1.27s/it, avr_loss=0.0815]
steps:  33%|███▎      | 1425/4288 [30:09<1:00:36,  1.27s/it, avr_loss=0.0813]
steps:  33%|███▎      | 1426/4288 [30:11<1:00:34,  1.27s/it, avr_loss=0.0813]
steps:  33%|███▎      | 1426/4288 [30:11<1:00:34,  1.27s/it, avr_loss=0.0815]
steps:  33%|███▎      | 1427/4288 [30:12<1:00:33,  1.27s/it, avr_loss=0.0815]
steps:  33%|███▎      | 1427/4288 [30:12<1:00:33,  1.27s/it, avr_loss=0.0822]
steps:  33%|███▎      | 1428/4288 [30:13<1:00:32,  1.27s/it, avr_loss=0.0822]
steps:  33%|███▎      | 1428/4288 [30:13<1:00:32,  1.27s/it, avr_loss=0.0819]
steps:  33%|███▎      | 1429/4288 [30:14<1:00:31,  1.27s/it, avr_loss=0.0819]
steps:  33%|███▎      | 1429/4288 [30:14<1:00:31,  1.27s/it, avr_loss=0.0821]
steps:  33%|███▎      | 1430/4288 [30:16<1:00:29,  1.27s/it, avr_loss=0.0821]
steps:  33%|███▎      | 1430/4288 [30:16<1:00:29,  1.27s/it, avr_loss=0.0825]
steps:  33%|███▎      | 1431/4288 [30:17<1:00:29,  1.27s/it, avr_loss=0.0825]
steps:  33%|███▎      | 1431/4288 [30:17<1:00:29,  1.27s/it, avr_loss=0.0826]
steps:  33%|███▎      | 1432/4288 [30:19<1:00:28,  1.27s/it, avr_loss=0.0826]
steps:  33%|███▎      | 1432/4288 [30:19<1:00:28,  1.27s/it, avr_loss=0.0828]
steps:  33%|███▎      | 1433/4288 [30:20<1:00:26,  1.27s/it, avr_loss=0.0828]
steps:  33%|███▎      | 1433/4288 [30:20<1:00:26,  1.27s/it, avr_loss=0.0827]
steps:  33%|███▎      | 1434/4288 [30:21<1:00:25,  1.27s/it, avr_loss=0.0827]
steps:  33%|███▎      | 1434/4288 [30:21<1:00:25,  1.27s/it, avr_loss=0.0829]
steps:  33%|███▎      | 1435/4288 [30:22<1:00:24,  1.27s/it, avr_loss=0.0829]
steps:  33%|███▎      | 1435/4288 [30:22<1:00:24,  1.27s/it, avr_loss=0.0828]
steps:  33%|███▎      | 1436/4288 [30:24<1:00:22,  1.27s/it, avr_loss=0.0828]
steps:  33%|███▎      | 1436/4288 [30:24<1:00:22,  1.27s/it, avr_loss=0.0828]
steps:  34%|███▎      | 1437/4288 [30:25<1:00:21,  1.27s/it, avr_loss=0.0828]
steps:  34%|███▎      | 1437/4288 [30:25<1:00:21,  1.27s/it, avr_loss=0.0829]
steps:  34%|███▎      | 1438/4288 [30:26<1:00:20,  1.27s/it, avr_loss=0.0829]
steps:  34%|███▎      | 1438/4288 [30:26<1:00:20,  1.27s/it, avr_loss=0.0835]
steps:  34%|███▎      | 1439/4288 [30:27<1:00:19,  1.27s/it, avr_loss=0.0835]
steps:  34%|███▎      | 1439/4288 [30:27<1:00:19,  1.27s/it, avr_loss=0.0833]
steps:  34%|███▎      | 1440/4288 [30:29<1:00:17,  1.27s/it, avr_loss=0.0833]
steps:  34%|███▎      | 1440/4288 [30:29<1:00:17,  1.27s/it, avr_loss=0.0832]
steps:  34%|███▎      | 1441/4288 [30:30<1:00:16,  1.27s/it, avr_loss=0.0832]
steps:  34%|███▎      | 1441/4288 [30:30<1:00:16,  1.27s/it, avr_loss=0.0833]
steps:  34%|███▎      | 1442/4288 [30:31<1:00:14,  1.27s/it, avr_loss=0.0833]
steps:  34%|███▎      | 1442/4288 [30:31<1:00:14,  1.27s/it, avr_loss=0.0834]
steps:  34%|███▎      | 1443/4288 [30:32<1:00:13,  1.27s/it, avr_loss=0.0834]
steps:  34%|███▎      | 1443/4288 [30:32<1:00:13,  1.27s/it, avr_loss=0.0834]
steps:  34%|███▎      | 1444/4288 [30:34<1:00:12,  1.27s/it, avr_loss=0.0834]
steps:  34%|███▎      | 1444/4288 [30:34<1:00:12,  1.27s/it, avr_loss=0.0837]
steps:  34%|███▎      | 1445/4288 [30:35<1:00:11,  1.27s/it, avr_loss=0.0837]
steps:  34%|███▎      | 1445/4288 [30:35<1:00:11,  1.27s/it, avr_loss=0.0837]
steps:  34%|███▎      | 1446/4288 [30:36<1:00:10,  1.27s/it, avr_loss=0.0837]
steps:  34%|███▎      | 1446/4288 [30:36<1:00:10,  1.27s/it, avr_loss=0.0838]
steps:  34%|███▎      | 1447/4288 [30:38<1:00:08,  1.27s/it, avr_loss=0.0838]
steps:  34%|███▎      | 1447/4288 [30:38<1:00:08,  1.27s/it, avr_loss=0.0839]
steps:  34%|███▍      | 1448/4288 [30:39<1:00:07,  1.27s/it, avr_loss=0.0839]
steps:  34%|███▍      | 1448/4288 [30:39<1:00:07,  1.27s/it, avr_loss=0.0841]
steps:  34%|███▍      | 1449/4288 [30:40<1:00:06,  1.27s/it, avr_loss=0.0841]
steps:  34%|███▍      | 1449/4288 [30:40<1:00:06,  1.27s/it, avr_loss=0.084] 
steps:  34%|███▍      | 1450/4288 [30:41<1:00:04,  1.27s/it, avr_loss=0.084]
steps:  34%|███▍      | 1450/4288 [30:41<1:00:04,  1.27s/it, avr_loss=0.0839]
steps:  34%|███▍      | 1451/4288 [30:43<1:00:03,  1.27s/it, avr_loss=0.0839]
steps:  34%|███▍      | 1451/4288 [30:43<1:00:03,  1.27s/it, avr_loss=0.0837]
steps:  34%|███▍      | 1452/4288 [30:44<1:00:02,  1.27s/it, avr_loss=0.0837]
steps:  34%|███▍      | 1452/4288 [30:44<1:00:02,  1.27s/it, avr_loss=0.0837]
steps:  34%|███▍      | 1453/4288 [30:45<1:00:00,  1.27s/it, avr_loss=0.0837]
steps:  34%|███▍      | 1453/4288 [30:45<1:00:00,  1.27s/it, avr_loss=0.0838]
steps:  34%|███▍      | 1454/4288 [30:46<59:59,  1.27s/it, avr_loss=0.0838]  
steps:  34%|███▍      | 1454/4288 [30:46<59:59,  1.27s/it, avr_loss=0.0835]
steps:  34%|███▍      | 1455/4288 [30:47<59:57,  1.27s/it, avr_loss=0.0835]
steps:  34%|███▍      | 1455/4288 [30:47<59:57,  1.27s/it, avr_loss=0.0835]
steps:  34%|███▍      | 1456/4288 [30:49<59:56,  1.27s/it, avr_loss=0.0835]
steps:  34%|███▍      | 1456/4288 [30:49<59:56,  1.27s/it, avr_loss=0.0835]
steps:  34%|███▍      | 1457/4288 [30:50<59:55,  1.27s/it, avr_loss=0.0835]
steps:  34%|███▍      | 1457/4288 [30:50<59:55,  1.27s/it, avr_loss=0.0834]
steps:  34%|███▍      | 1458/4288 [30:51<59:54,  1.27s/it, avr_loss=0.0834]
steps:  34%|███▍      | 1458/4288 [30:51<59:54,  1.27s/it, avr_loss=0.0833]
steps:  34%|███▍      | 1459/4288 [30:53<59:53,  1.27s/it, avr_loss=0.0833]
steps:  34%|███▍      | 1459/4288 [30:53<59:53,  1.27s/it, avr_loss=0.0833]
steps:  34%|███▍      | 1460/4288 [30:54<59:51,  1.27s/it, avr_loss=0.0833]
steps:  34%|███▍      | 1460/4288 [30:54<59:51,  1.27s/it, avr_loss=0.0831]
steps:  34%|███▍      | 1461/4288 [30:55<59:50,  1.27s/it, avr_loss=0.0831]
steps:  34%|███▍      | 1461/4288 [30:55<59:50,  1.27s/it, avr_loss=0.0829]
steps:  34%|███▍      | 1462/4288 [30:56<59:48,  1.27s/it, avr_loss=0.0829]
steps:  34%|███▍      | 1462/4288 [30:56<59:48,  1.27s/it, avr_loss=0.0829]
steps:  34%|███▍      | 1463/4288 [30:58<59:47,  1.27s/it, avr_loss=0.0829]
steps:  34%|███▍      | 1463/4288 [30:58<59:47,  1.27s/it, avr_loss=0.083] 
steps:  34%|███▍      | 1464/4288 [30:59<59:46,  1.27s/it, avr_loss=0.083]
steps:  34%|███▍      | 1464/4288 [30:59<59:46,  1.27s/it, avr_loss=0.083]
steps:  34%|███▍      | 1465/4288 [31:00<59:44,  1.27s/it, avr_loss=0.083]
steps:  34%|███▍      | 1465/4288 [31:00<59:45,  1.27s/it, avr_loss=0.083]
steps:  34%|███▍      | 1466/4288 [31:01<59:43,  1.27s/it, avr_loss=0.083]
steps:  34%|███▍      | 1466/4288 [31:01<59:43,  1.27s/it, avr_loss=0.083]
steps:  34%|███▍      | 1467/4288 [31:02<59:42,  1.27s/it, avr_loss=0.083]
steps:  34%|███▍      | 1467/4288 [31:02<59:42,  1.27s/it, avr_loss=0.083]
steps:  34%|███▍      | 1468/4288 [31:04<59:40,  1.27s/it, avr_loss=0.083]
steps:  34%|███▍      | 1468/4288 [31:04<59:40,  1.27s/it, avr_loss=0.0828]
steps:  34%|███▍      | 1469/4288 [31:05<59:39,  1.27s/it, avr_loss=0.0828]
steps:  34%|███▍      | 1469/4288 [31:05<59:39,  1.27s/it, avr_loss=0.0829]
steps:  34%|███▍      | 1470/4288 [31:06<59:38,  1.27s/it, avr_loss=0.0829]
steps:  34%|███▍      | 1470/4288 [31:06<59:38,  1.27s/it, avr_loss=0.083] 
steps:  34%|███▍      | 1471/4288 [31:07<59:36,  1.27s/it, avr_loss=0.083]
steps:  34%|███▍      | 1471/4288 [31:07<59:36,  1.27s/it, avr_loss=0.0831]
steps:  34%|███▍      | 1472/4288 [31:09<59:35,  1.27s/it, avr_loss=0.0831]
steps:  34%|███▍      | 1472/4288 [31:09<59:35,  1.27s/it, avr_loss=0.0825]
steps:  34%|███▍      | 1473/4288 [31:10<59:34,  1.27s/it, avr_loss=0.0825]
steps:  34%|███▍      | 1473/4288 [31:10<59:34,  1.27s/it, avr_loss=0.0826]
steps:  34%|███▍      | 1474/4288 [31:11<59:33,  1.27s/it, avr_loss=0.0826]
steps:  34%|███▍      | 1474/4288 [31:11<59:33,  1.27s/it, avr_loss=0.0825]
steps:  34%|███▍      | 1475/4288 [31:12<59:31,  1.27s/it, avr_loss=0.0825]
steps:  34%|███▍      | 1475/4288 [31:12<59:31,  1.27s/it, avr_loss=0.0825]
steps:  34%|███▍      | 1476/4288 [31:14<59:30,  1.27s/it, avr_loss=0.0825]
steps:  34%|███▍      | 1476/4288 [31:14<59:30,  1.27s/it, avr_loss=0.0825]
steps:  34%|███▍      | 1477/4288 [31:15<59:29,  1.27s/it, avr_loss=0.0825]
steps:  34%|███▍      | 1477/4288 [31:15<59:29,  1.27s/it, avr_loss=0.0825]
steps:  34%|███▍      | 1478/4288 [31:16<59:28,  1.27s/it, avr_loss=0.0825]
steps:  34%|███▍      | 1478/4288 [31:16<59:28,  1.27s/it, avr_loss=0.0826]
steps:  34%|███▍      | 1479/4288 [31:18<59:26,  1.27s/it, avr_loss=0.0826]
steps:  34%|███▍      | 1479/4288 [31:18<59:26,  1.27s/it, avr_loss=0.0825]
steps:  35%|███▍      | 1480/4288 [31:19<59:25,  1.27s/it, avr_loss=0.0825]
steps:  35%|███▍      | 1480/4288 [31:19<59:25,  1.27s/it, avr_loss=0.0821]
steps:  35%|███▍      | 1481/4288 [31:20<59:24,  1.27s/it, avr_loss=0.0821]
steps:  35%|███▍      | 1481/4288 [31:20<59:24,  1.27s/it, avr_loss=0.0823]
steps:  35%|███▍      | 1482/4288 [31:21<59:23,  1.27s/it, avr_loss=0.0823]
steps:  35%|███▍      | 1482/4288 [31:21<59:23,  1.27s/it, avr_loss=0.082] 
steps:  35%|███▍      | 1483/4288 [31:23<59:22,  1.27s/it, avr_loss=0.082]
steps:  35%|███▍      | 1483/4288 [31:23<59:22,  1.27s/it, avr_loss=0.082]
steps:  35%|███▍      | 1484/4288 [31:24<59:20,  1.27s/it, avr_loss=0.082]
steps:  35%|███▍      | 1484/4288 [31:24<59:20,  1.27s/it, avr_loss=0.0822]
steps:  35%|███▍      | 1485/4288 [31:25<59:19,  1.27s/it, avr_loss=0.0822]
steps:  35%|███▍      | 1485/4288 [31:25<59:19,  1.27s/it, avr_loss=0.0827]
steps:  35%|███▍      | 1486/4288 [31:26<59:18,  1.27s/it, avr_loss=0.0827]
steps:  35%|███▍      | 1486/4288 [31:27<59:18,  1.27s/it, avr_loss=0.0828]
steps:  35%|███▍      | 1487/4288 [31:28<59:16,  1.27s/it, avr_loss=0.0828]
steps:  35%|███▍      | 1487/4288 [31:28<59:16,  1.27s/it, avr_loss=0.0828]
steps:  35%|███▍      | 1488/4288 [31:29<59:15,  1.27s/it, avr_loss=0.0828]
steps:  35%|███▍      | 1488/4288 [31:29<59:15,  1.27s/it, avr_loss=0.0828]
steps:  35%|███▍      | 1489/4288 [31:30<59:14,  1.27s/it, avr_loss=0.0828]
steps:  35%|███▍      | 1489/4288 [31:30<59:14,  1.27s/it, avr_loss=0.083] 
steps:  35%|███▍      | 1490/4288 [31:32<59:13,  1.27s/it, avr_loss=0.083]
steps:  35%|███▍      | 1490/4288 [31:32<59:13,  1.27s/it, avr_loss=0.083]
steps:  35%|███▍      | 1491/4288 [31:33<59:11,  1.27s/it, avr_loss=0.083]
steps:  35%|███▍      | 1491/4288 [31:33<59:11,  1.27s/it, avr_loss=0.0832]
steps:  35%|███▍      | 1492/4288 [31:34<59:10,  1.27s/it, avr_loss=0.0832]
steps:  35%|███▍      | 1492/4288 [31:34<59:10,  1.27s/it, avr_loss=0.0832]
steps:  35%|███▍      | 1493/4288 [31:35<59:08,  1.27s/it, avr_loss=0.0832]
steps:  35%|███▍      | 1493/4288 [31:35<59:08,  1.27s/it, avr_loss=0.0831]
steps:  35%|███▍      | 1494/4288 [31:36<59:07,  1.27s/it, avr_loss=0.0831]
steps:  35%|███▍      | 1494/4288 [31:36<59:07,  1.27s/it, avr_loss=0.0831]
steps:  35%|███▍      | 1495/4288 [31:38<59:06,  1.27s/it, avr_loss=0.0831]
steps:  35%|███▍      | 1495/4288 [31:38<59:06,  1.27s/it, avr_loss=0.083] 
steps:  35%|███▍      | 1496/4288 [31:39<59:05,  1.27s/it, avr_loss=0.083]
steps:  35%|███▍      | 1496/4288 [31:39<59:05,  1.27s/it, avr_loss=0.0829]
steps:  35%|███▍      | 1497/4288 [31:40<59:03,  1.27s/it, avr_loss=0.0829]
steps:  35%|███▍      | 1497/4288 [31:40<59:03,  1.27s/it, avr_loss=0.0828]
steps:  35%|███▍      | 1498/4288 [31:42<59:02,  1.27s/it, avr_loss=0.0828]
steps:  35%|███▍      | 1498/4288 [31:42<59:02,  1.27s/it, avr_loss=0.0829]
steps:  35%|███▍      | 1499/4288 [31:43<59:01,  1.27s/it, avr_loss=0.0829]
steps:  35%|███▍      | 1499/4288 [31:43<59:01,  1.27s/it, avr_loss=0.0827]
steps:  35%|███▍      | 1500/4288 [31:44<59:00,  1.27s/it, avr_loss=0.0827]
steps:  35%|███▍      | 1500/4288 [31:44<59:00,  1.27s/it, avr_loss=0.0827]
steps:  35%|███▌      | 1501/4288 [31:45<58:58,  1.27s/it, avr_loss=0.0827]
steps:  35%|███▌      | 1501/4288 [31:45<58:58,  1.27s/it, avr_loss=0.0827]
steps:  35%|███▌      | 1502/4288 [31:47<58:57,  1.27s/it, avr_loss=0.0827]
steps:  35%|███▌      | 1502/4288 [31:47<58:57,  1.27s/it, avr_loss=0.0826]
steps:  35%|███▌      | 1503/4288 [31:48<58:56,  1.27s/it, avr_loss=0.0826]
steps:  35%|███▌      | 1503/4288 [31:48<58:56,  1.27s/it, avr_loss=0.0825]
steps:  35%|███▌      | 1504/4288 [31:49<58:55,  1.27s/it, avr_loss=0.0825]
steps:  35%|███▌      | 1504/4288 [31:49<58:55,  1.27s/it, avr_loss=0.0817]
steps:  35%|███▌      | 1505/4288 [31:51<58:54,  1.27s/it, avr_loss=0.0817]
steps:  35%|███▌      | 1505/4288 [31:51<58:54,  1.27s/it, avr_loss=0.0815]
steps:  35%|███▌      | 1506/4288 [31:52<58:52,  1.27s/it, avr_loss=0.0815]
steps:  35%|███▌      | 1506/4288 [31:52<58:52,  1.27s/it, avr_loss=0.0813]
steps:  35%|███▌      | 1507/4288 [31:53<58:51,  1.27s/it, avr_loss=0.0813]
steps:  35%|███▌      | 1507/4288 [31:53<58:51,  1.27s/it, avr_loss=0.0811]
steps:  35%|███▌      | 1508/4288 [31:54<58:49,  1.27s/it, avr_loss=0.0811]
steps:  35%|███▌      | 1508/4288 [31:54<58:49,  1.27s/it, avr_loss=0.081] 
steps:  35%|███▌      | 1509/4288 [31:55<58:48,  1.27s/it, avr_loss=0.081]
steps:  35%|███▌      | 1509/4288 [31:55<58:48,  1.27s/it, avr_loss=0.0812]
steps:  35%|███▌      | 1510/4288 [31:57<58:47,  1.27s/it, avr_loss=0.0812]
steps:  35%|███▌      | 1510/4288 [31:57<58:47,  1.27s/it, avr_loss=0.0812]
steps:  35%|███▌      | 1511/4288 [31:58<58:45,  1.27s/it, avr_loss=0.0812]
steps:  35%|███▌      | 1511/4288 [31:58<58:45,  1.27s/it, avr_loss=0.0814]
steps:  35%|███▌      | 1512/4288 [31:59<58:44,  1.27s/it, avr_loss=0.0814]
steps:  35%|███▌      | 1512/4288 [31:59<58:44,  1.27s/it, avr_loss=0.0814]
steps:  35%|███▌      | 1513/4288 [32:01<58:43,  1.27s/it, avr_loss=0.0814]
steps:  35%|███▌      | 1513/4288 [32:01<58:43,  1.27s/it, avr_loss=0.0814]
steps:  35%|███▌      | 1514/4288 [32:02<58:42,  1.27s/it, avr_loss=0.0814]
steps:  35%|███▌      | 1514/4288 [32:02<58:42,  1.27s/it, avr_loss=0.0812]
steps:  35%|███▌      | 1515/4288 [32:03<58:40,  1.27s/it, avr_loss=0.0812]
steps:  35%|███▌      | 1515/4288 [32:03<58:40,  1.27s/it, avr_loss=0.0814]
steps:  35%|███▌      | 1516/4288 [32:04<58:39,  1.27s/it, avr_loss=0.0814]
steps:  35%|███▌      | 1516/4288 [32:04<58:39,  1.27s/it, avr_loss=0.0815]
steps:  35%|███▌      | 1517/4288 [32:06<58:38,  1.27s/it, avr_loss=0.0815]
steps:  35%|███▌      | 1517/4288 [32:06<58:38,  1.27s/it, avr_loss=0.0816]
steps:  35%|███▌      | 1518/4288 [32:07<58:36,  1.27s/it, avr_loss=0.0816]
steps:  35%|███▌      | 1518/4288 [32:07<58:36,  1.27s/it, avr_loss=0.0816]
steps:  35%|███▌      | 1519/4288 [32:08<58:35,  1.27s/it, avr_loss=0.0816]
steps:  35%|███▌      | 1519/4288 [32:08<58:35,  1.27s/it, avr_loss=0.0815]
steps:  35%|███▌      | 1520/4288 [32:09<58:34,  1.27s/it, avr_loss=0.0815]
steps:  35%|███▌      | 1520/4288 [32:09<58:34,  1.27s/it, avr_loss=0.0813]
steps:  35%|███▌      | 1521/4288 [32:11<58:33,  1.27s/it, avr_loss=0.0813]
steps:  35%|███▌      | 1521/4288 [32:11<58:33,  1.27s/it, avr_loss=0.0812]
steps:  35%|███▌      | 1522/4288 [32:12<58:32,  1.27s/it, avr_loss=0.0812]
steps:  35%|███▌      | 1522/4288 [32:12<58:32,  1.27s/it, avr_loss=0.0813]
steps:  36%|███▌      | 1523/4288 [32:14<58:31,  1.27s/it, avr_loss=0.0813]
steps:  36%|███▌      | 1523/4288 [32:14<58:31,  1.27s/it, avr_loss=0.0813]
steps:  36%|███▌      | 1524/4288 [32:15<58:29,  1.27s/it, avr_loss=0.0813]
steps:  36%|███▌      | 1524/4288 [32:15<58:29,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1525/4288 [32:16<58:28,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1525/4288 [32:16<58:28,  1.27s/it, avr_loss=0.0811]
steps:  36%|███▌      | 1526/4288 [32:17<58:27,  1.27s/it, avr_loss=0.0811]
steps:  36%|███▌      | 1526/4288 [32:17<58:27,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1527/4288 [32:18<58:25,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1527/4288 [32:18<58:25,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1528/4288 [32:20<58:24,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1528/4288 [32:20<58:24,  1.27s/it, avr_loss=0.0813]
steps:  36%|███▌      | 1529/4288 [32:21<58:23,  1.27s/it, avr_loss=0.0813]
steps:  36%|███▌      | 1529/4288 [32:21<58:23,  1.27s/it, avr_loss=0.0813]
steps:  36%|███▌      | 1530/4288 [32:22<58:21,  1.27s/it, avr_loss=0.0813]
steps:  36%|███▌      | 1530/4288 [32:22<58:21,  1.27s/it, avr_loss=0.0816]
steps:  36%|███▌      | 1531/4288 [32:23<58:20,  1.27s/it, avr_loss=0.0816]
steps:  36%|███▌      | 1531/4288 [32:23<58:20,  1.27s/it, avr_loss=0.0813]
steps:  36%|███▌      | 1532/4288 [32:25<58:19,  1.27s/it, avr_loss=0.0813]
steps:  36%|███▌      | 1532/4288 [32:25<58:19,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1533/4288 [32:26<58:17,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1533/4288 [32:26<58:17,  1.27s/it, avr_loss=0.0811]
steps:  36%|███▌      | 1534/4288 [32:27<58:16,  1.27s/it, avr_loss=0.0811]
steps:  36%|███▌      | 1534/4288 [32:27<58:16,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1535/4288 [32:29<58:15,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1535/4288 [32:29<58:15,  1.27s/it, avr_loss=0.0809]
steps:  36%|███▌      | 1536/4288 [32:30<58:14,  1.27s/it, avr_loss=0.0809]
steps:  36%|███▌      | 1536/4288 [32:30<58:14,  1.27s/it, avr_loss=0.0809]
steps:  36%|███▌      | 1537/4288 [32:31<58:12,  1.27s/it, avr_loss=0.0809]
steps:  36%|███▌      | 1537/4288 [32:31<58:12,  1.27s/it, avr_loss=0.0809]
steps:  36%|███▌      | 1538/4288 [32:32<58:11,  1.27s/it, avr_loss=0.0809]
steps:  36%|███▌      | 1538/4288 [32:32<58:11,  1.27s/it, avr_loss=0.0811]
steps:  36%|███▌      | 1539/4288 [32:33<58:10,  1.27s/it, avr_loss=0.0811]
steps:  36%|███▌      | 1539/4288 [32:33<58:10,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1540/4288 [32:35<58:08,  1.27s/it, avr_loss=0.0812]
steps:  36%|███▌      | 1540/4288 [32:35<58:08,  1.27s/it, avr_loss=0.0817]
steps:  36%|███▌      | 1541/4288 [32:36<58:07,  1.27s/it, avr_loss=0.0817]
steps:  36%|███▌      | 1541/4288 [32:36<58:07,  1.27s/it, avr_loss=0.0817]
steps:  36%|███▌      | 1542/4288 [32:37<58:06,  1.27s/it, avr_loss=0.0817]
steps:  36%|███▌      | 1542/4288 [32:37<58:06,  1.27s/it, avr_loss=0.0814]
steps:  36%|███▌      | 1543/4288 [32:39<58:05,  1.27s/it, avr_loss=0.0814]
steps:  36%|███▌      | 1543/4288 [32:39<58:05,  1.27s/it, avr_loss=0.081] 
steps:  36%|███▌      | 1544/4288 [32:40<58:04,  1.27s/it, avr_loss=0.081]
steps:  36%|███▌      | 1544/4288 [32:40<58:04,  1.27s/it, avr_loss=0.0824]
steps:  36%|███▌      | 1545/4288 [32:41<58:02,  1.27s/it, avr_loss=0.0824]
steps:  36%|███▌      | 1545/4288 [32:41<58:02,  1.27s/it, avr_loss=0.0824]
steps:  36%|███▌      | 1546/4288 [32:42<58:01,  1.27s/it, avr_loss=0.0824]
steps:  36%|███▌      | 1546/4288 [32:42<58:01,  1.27s/it, avr_loss=0.0823]
steps:  36%|███▌      | 1547/4288 [32:44<58:00,  1.27s/it, avr_loss=0.0823]
steps:  36%|███▌      | 1547/4288 [32:44<58:00,  1.27s/it, avr_loss=0.0823]
steps:  36%|███▌      | 1548/4288 [32:45<57:59,  1.27s/it, avr_loss=0.0823]
steps:  36%|███▌      | 1548/4288 [32:45<57:59,  1.27s/it, avr_loss=0.0823]
steps:  36%|███▌      | 1549/4288 [32:46<57:57,  1.27s/it, avr_loss=0.0823]
steps:  36%|███▌      | 1549/4288 [32:46<57:57,  1.27s/it, avr_loss=0.082] 
steps:  36%|███▌      | 1550/4288 [32:48<57:56,  1.27s/it, avr_loss=0.082]
steps:  36%|███▌      | 1550/4288 [32:48<57:56,  1.27s/it, avr_loss=0.0825]
steps:  36%|███▌      | 1551/4288 [32:49<57:55,  1.27s/it, avr_loss=0.0825]
steps:  36%|███▌      | 1551/4288 [32:49<57:55,  1.27s/it, avr_loss=0.0825]
steps:  36%|███▌      | 1552/4288 [32:50<57:53,  1.27s/it, avr_loss=0.0825]
steps:  36%|███▌      | 1552/4288 [32:50<57:53,  1.27s/it, avr_loss=0.0827]
steps:  36%|███▌      | 1553/4288 [32:51<57:52,  1.27s/it, avr_loss=0.0827]
steps:  36%|███▌      | 1553/4288 [32:51<57:52,  1.27s/it, avr_loss=0.0826]
steps:  36%|███▌      | 1554/4288 [32:53<57:51,  1.27s/it, avr_loss=0.0826]
steps:  36%|███▌      | 1554/4288 [32:53<57:51,  1.27s/it, avr_loss=0.0827]
steps:  36%|███▋      | 1555/4288 [32:54<57:50,  1.27s/it, avr_loss=0.0827]
steps:  36%|███▋      | 1555/4288 [32:54<57:50,  1.27s/it, avr_loss=0.083] 
steps:  36%|███▋      | 1556/4288 [32:55<57:49,  1.27s/it, avr_loss=0.083]
steps:  36%|███▋      | 1556/4288 [32:55<57:49,  1.27s/it, avr_loss=0.0831]
steps:  36%|███▋      | 1557/4288 [32:57<57:48,  1.27s/it, avr_loss=0.0831]
steps:  36%|███▋      | 1557/4288 [32:57<57:48,  1.27s/it, avr_loss=0.0832]
steps:  36%|███▋      | 1558/4288 [32:58<57:46,  1.27s/it, avr_loss=0.0832]
steps:  36%|███▋      | 1558/4288 [32:58<57:46,  1.27s/it, avr_loss=0.0829]
steps:  36%|███▋      | 1559/4288 [32:59<57:45,  1.27s/it, avr_loss=0.0829]
steps:  36%|███▋      | 1559/4288 [32:59<57:45,  1.27s/it, avr_loss=0.0829]
steps:  36%|███▋      | 1560/4288 [33:01<57:44,  1.27s/it, avr_loss=0.0829]
steps:  36%|███▋      | 1560/4288 [33:01<57:44,  1.27s/it, avr_loss=0.0829]
steps:  36%|███▋      | 1561/4288 [33:02<57:43,  1.27s/it, avr_loss=0.0829]
steps:  36%|███▋      | 1561/4288 [33:02<57:43,  1.27s/it, avr_loss=0.083] 
steps:  36%|███▋      | 1562/4288 [33:03<57:41,  1.27s/it, avr_loss=0.083]
steps:  36%|███▋      | 1562/4288 [33:03<57:41,  1.27s/it, avr_loss=0.0828]
steps:  36%|███▋      | 1563/4288 [33:04<57:40,  1.27s/it, avr_loss=0.0828]
steps:  36%|███▋      | 1563/4288 [33:04<57:40,  1.27s/it, avr_loss=0.0827]
steps:  36%|███▋      | 1564/4288 [33:06<57:39,  1.27s/it, avr_loss=0.0827]
steps:  36%|███▋      | 1564/4288 [33:06<57:39,  1.27s/it, avr_loss=0.0826]
steps:  36%|███▋      | 1565/4288 [33:07<57:38,  1.27s/it, avr_loss=0.0826]
steps:  36%|███▋      | 1565/4288 [33:07<57:38,  1.27s/it, avr_loss=0.0827]
steps:  37%|███▋      | 1566/4288 [33:08<57:36,  1.27s/it, avr_loss=0.0827]
steps:  37%|███▋      | 1566/4288 [33:08<57:36,  1.27s/it, avr_loss=0.0827]
steps:  37%|███▋      | 1567/4288 [33:10<57:35,  1.27s/it, avr_loss=0.0827]
steps:  37%|███▋      | 1567/4288 [33:10<57:35,  1.27s/it, avr_loss=0.0824]
steps:  37%|███▋      | 1568/4288 [33:11<57:34,  1.27s/it, avr_loss=0.0824]
steps:  37%|███▋      | 1568/4288 [33:11<57:34,  1.27s/it, avr_loss=0.0818]
steps:  37%|███▋      | 1569/4288 [33:12<57:33,  1.27s/it, avr_loss=0.0818]
steps:  37%|███▋      | 1569/4288 [33:12<57:33,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1570/4288 [33:13<57:31,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1570/4288 [33:13<57:31,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1571/4288 [33:15<57:30,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1571/4288 [33:15<57:30,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1572/4288 [33:16<57:29,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1572/4288 [33:16<57:29,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1573/4288 [33:17<57:28,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1573/4288 [33:17<57:28,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1574/4288 [33:19<57:27,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1574/4288 [33:19<57:27,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1575/4288 [33:20<57:25,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1575/4288 [33:20<57:25,  1.27s/it, avr_loss=0.0818]
steps:  37%|███▋      | 1576/4288 [33:21<57:24,  1.27s/it, avr_loss=0.0818]
steps:  37%|███▋      | 1576/4288 [33:21<57:24,  1.27s/it, avr_loss=0.0818]
steps:  37%|███▋      | 1577/4288 [33:22<57:22,  1.27s/it, avr_loss=0.0818]
steps:  37%|███▋      | 1577/4288 [33:22<57:22,  1.27s/it, avr_loss=0.0817]
steps:  37%|███▋      | 1578/4288 [33:23<57:21,  1.27s/it, avr_loss=0.0817]
steps:  37%|███▋      | 1578/4288 [33:23<57:21,  1.27s/it, avr_loss=0.0816]
steps:  37%|███▋      | 1579/4288 [33:25<57:20,  1.27s/it, avr_loss=0.0816]
steps:  37%|███▋      | 1579/4288 [33:25<57:20,  1.27s/it, avr_loss=0.0817]
steps:  37%|███▋      | 1580/4288 [33:26<57:18,  1.27s/it, avr_loss=0.0817]
steps:  37%|███▋      | 1580/4288 [33:26<57:19,  1.27s/it, avr_loss=0.0816]
steps:  37%|███▋      | 1581/4288 [33:27<57:17,  1.27s/it, avr_loss=0.0816]
steps:  37%|███▋      | 1581/4288 [33:27<57:17,  1.27s/it, avr_loss=0.0817]
steps:  37%|███▋      | 1582/4288 [33:29<57:16,  1.27s/it, avr_loss=0.0817]
steps:  37%|███▋      | 1582/4288 [33:29<57:16,  1.27s/it, avr_loss=0.0821]
steps:  37%|███▋      | 1583/4288 [33:30<57:15,  1.27s/it, avr_loss=0.0821]
steps:  37%|███▋      | 1583/4288 [33:30<57:15,  1.27s/it, avr_loss=0.0823]
steps:  37%|███▋      | 1584/4288 [33:31<57:13,  1.27s/it, avr_loss=0.0823]
steps:  37%|███▋      | 1584/4288 [33:31<57:13,  1.27s/it, avr_loss=0.0822]
steps:  37%|███▋      | 1585/4288 [33:32<57:12,  1.27s/it, avr_loss=0.0822]
steps:  37%|███▋      | 1585/4288 [33:32<57:12,  1.27s/it, avr_loss=0.0822]
steps:  37%|███▋      | 1586/4288 [33:34<57:11,  1.27s/it, avr_loss=0.0822]
steps:  37%|███▋      | 1586/4288 [33:34<57:11,  1.27s/it, avr_loss=0.082] 
steps:  37%|███▋      | 1587/4288 [33:35<57:10,  1.27s/it, avr_loss=0.082]
steps:  37%|███▋      | 1587/4288 [33:35<57:10,  1.27s/it, avr_loss=0.082]
steps:  37%|███▋      | 1588/4288 [33:36<57:09,  1.27s/it, avr_loss=0.082]
steps:  37%|███▋      | 1588/4288 [33:36<57:09,  1.27s/it, avr_loss=0.0818]
steps:  37%|███▋      | 1589/4288 [33:38<57:07,  1.27s/it, avr_loss=0.0818]
steps:  37%|███▋      | 1589/4288 [33:38<57:07,  1.27s/it, avr_loss=0.0818]
steps:  37%|███▋      | 1590/4288 [33:39<57:06,  1.27s/it, avr_loss=0.0818]
steps:  37%|███▋      | 1590/4288 [33:39<57:06,  1.27s/it, avr_loss=0.0819]
steps:  37%|███▋      | 1591/4288 [33:40<57:05,  1.27s/it, avr_loss=0.0819]
steps:  37%|███▋      | 1591/4288 [33:40<57:05,  1.27s/it, avr_loss=0.0817]
steps:  37%|███▋      | 1592/4288 [33:42<57:04,  1.27s/it, avr_loss=0.0817]
steps:  37%|███▋      | 1592/4288 [33:42<57:04,  1.27s/it, avr_loss=0.0816]
steps:  37%|███▋      | 1593/4288 [33:43<57:02,  1.27s/it, avr_loss=0.0816]
steps:  37%|███▋      | 1593/4288 [33:43<57:02,  1.27s/it, avr_loss=0.0819]
steps:  37%|███▋      | 1594/4288 [33:44<57:01,  1.27s/it, avr_loss=0.0819]
steps:  37%|███▋      | 1594/4288 [33:44<57:01,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1595/4288 [33:45<57:00,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1595/4288 [33:45<57:00,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1596/4288 [33:47<56:59,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1596/4288 [33:47<56:59,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1597/4288 [33:48<56:57,  1.27s/it, avr_loss=0.0814]
steps:  37%|███▋      | 1597/4288 [33:48<56:57,  1.27s/it, avr_loss=0.0813]
steps:  37%|███▋      | 1598/4288 [33:49<56:56,  1.27s/it, avr_loss=0.0813]
steps:  37%|███▋      | 1598/4288 [33:49<56:56,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1599/4288 [33:50<56:54,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1599/4288 [33:50<56:54,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1600/4288 [33:52<56:53,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1600/4288 [33:52<56:53,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1601/4288 [33:53<56:52,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1601/4288 [33:53<56:52,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1602/4288 [33:54<56:51,  1.27s/it, avr_loss=0.0815]
steps:  37%|███▋      | 1602/4288 [33:54<56:51,  1.27s/it, avr_loss=0.0817]
steps:  37%|███▋      | 1603/4288 [33:55<56:49,  1.27s/it, avr_loss=0.0817]
steps:  37%|███▋      | 1603/4288 [33:55<56:49,  1.27s/it, avr_loss=0.082] 
steps:  37%|███▋      | 1604/4288 [33:57<56:48,  1.27s/it, avr_loss=0.082]
steps:  37%|███▋      | 1604/4288 [33:57<56:48,  1.27s/it, avr_loss=0.0822]
steps:  37%|███▋      | 1605/4288 [33:58<56:47,  1.27s/it, avr_loss=0.0822]
steps:  37%|███▋      | 1605/4288 [33:58<56:47,  1.27s/it, avr_loss=0.0822]
steps:  37%|███▋      | 1606/4288 [33:59<56:45,  1.27s/it, avr_loss=0.0822]
steps:  37%|███▋      | 1606/4288 [33:59<56:45,  1.27s/it, avr_loss=0.082] 
steps:  37%|███▋      | 1607/4288 [34:00<56:44,  1.27s/it, avr_loss=0.082]
steps:  37%|███▋      | 1607/4288 [34:00<56:44,  1.27s/it, avr_loss=0.082]
steps:  38%|███▊      | 1608/4288 [34:02<56:43,  1.27s/it, avr_loss=0.082]
steps:  38%|███▊      | 1608/4288 [34:02<56:43,  1.27s/it, avr_loss=0.082]2026-07-24 14:09:44 INFO     epoch is incremented. current_epoch: dataset.py:464
                             6, epoch: 7                                        
2026-07-24 14:09:44 INFO     epoch is incremented. current_epoch: dataset.py:464
                             6, epoch: 7                                        

steps:  38%|███▊      | 1609/4288 [34:03<56:42,  1.27s/it, avr_loss=0.082]
steps:  38%|███▊      | 1609/4288 [34:03<56:42,  1.27s/it, avr_loss=0.0819]
steps:  38%|███▊      | 1610/4288 [34:04<56:40,  1.27s/it, avr_loss=0.0819]
steps:  38%|███▊      | 1610/4288 [34:04<56:40,  1.27s/it, avr_loss=0.082] 
steps:  38%|███▊      | 1611/4288 [34:05<56:39,  1.27s/it, avr_loss=0.082]
steps:  38%|███▊      | 1611/4288 [34:05<56:39,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1612/4288 [34:07<56:38,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1612/4288 [34:07<56:38,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1613/4288 [34:08<56:36,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1613/4288 [34:08<56:36,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1614/4288 [34:09<56:35,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1614/4288 [34:09<56:35,  1.27s/it, avr_loss=0.0824]
steps:  38%|███▊      | 1615/4288 [34:10<56:34,  1.27s/it, avr_loss=0.0824]
steps:  38%|███▊      | 1615/4288 [34:10<56:34,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1616/4288 [34:12<56:33,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1616/4288 [34:12<56:33,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1617/4288 [34:13<56:31,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1617/4288 [34:13<56:31,  1.27s/it, avr_loss=0.0825]
steps:  38%|███▊      | 1618/4288 [34:14<56:30,  1.27s/it, avr_loss=0.0825]
steps:  38%|███▊      | 1618/4288 [34:14<56:30,  1.27s/it, avr_loss=0.0828]
steps:  38%|███▊      | 1619/4288 [34:16<56:29,  1.27s/it, avr_loss=0.0828]
steps:  38%|███▊      | 1619/4288 [34:16<56:29,  1.27s/it, avr_loss=0.0828]
steps:  38%|███▊      | 1620/4288 [34:17<56:28,  1.27s/it, avr_loss=0.0828]
steps:  38%|███▊      | 1620/4288 [34:17<56:28,  1.27s/it, avr_loss=0.0827]
steps:  38%|███▊      | 1621/4288 [34:18<56:27,  1.27s/it, avr_loss=0.0827]
steps:  38%|███▊      | 1621/4288 [34:18<56:27,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1622/4288 [34:19<56:25,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1622/4288 [34:19<56:25,  1.27s/it, avr_loss=0.0827]
steps:  38%|███▊      | 1623/4288 [34:21<56:24,  1.27s/it, avr_loss=0.0827]
steps:  38%|███▊      | 1623/4288 [34:21<56:24,  1.27s/it, avr_loss=0.0828]
steps:  38%|███▊      | 1624/4288 [34:21<56:22,  1.27s/it, avr_loss=0.0828]
steps:  38%|███▊      | 1624/4288 [34:21<56:22,  1.27s/it, avr_loss=0.0834]
steps:  38%|███▊      | 1625/4288 [34:23<56:21,  1.27s/it, avr_loss=0.0834]
steps:  38%|███▊      | 1625/4288 [34:23<56:21,  1.27s/it, avr_loss=0.0834]
steps:  38%|███▊      | 1626/4288 [34:24<56:19,  1.27s/it, avr_loss=0.0834]
steps:  38%|███▊      | 1626/4288 [34:24<56:19,  1.27s/it, avr_loss=0.0831]
steps:  38%|███▊      | 1627/4288 [34:25<56:18,  1.27s/it, avr_loss=0.0831]
steps:  38%|███▊      | 1627/4288 [34:25<56:18,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1628/4288 [34:26<56:17,  1.27s/it, avr_loss=0.0826]
steps:  38%|███▊      | 1628/4288 [34:26<56:17,  1.27s/it, avr_loss=0.0824]
steps:  38%|███▊      | 1629/4288 [34:28<56:16,  1.27s/it, avr_loss=0.0824]
steps:  38%|███▊      | 1629/4288 [34:28<56:16,  1.27s/it, avr_loss=0.0822]
steps:  38%|███▊      | 1630/4288 [34:29<56:14,  1.27s/it, avr_loss=0.0822]
steps:  38%|███▊      | 1630/4288 [34:29<56:14,  1.27s/it, avr_loss=0.0822]
steps:  38%|███▊      | 1631/4288 [34:30<56:13,  1.27s/it, avr_loss=0.0822]
steps:  38%|███▊      | 1631/4288 [34:30<56:13,  1.27s/it, avr_loss=0.0823]
steps:  38%|███▊      | 1632/4288 [34:32<56:12,  1.27s/it, avr_loss=0.0823]
steps:  38%|███▊      | 1632/4288 [34:32<56:12,  1.27s/it, avr_loss=0.0827]
steps:  38%|███▊      | 1633/4288 [34:33<56:11,  1.27s/it, avr_loss=0.0827]
steps:  38%|███▊      | 1633/4288 [34:33<56:11,  1.27s/it, avr_loss=0.0831]
steps:  38%|███▊      | 1634/4288 [34:34<56:09,  1.27s/it, avr_loss=0.0831]
steps:  38%|███▊      | 1634/4288 [34:34<56:09,  1.27s/it, avr_loss=0.0831]
steps:  38%|███▊      | 1635/4288 [34:36<56:08,  1.27s/it, avr_loss=0.0831]
steps:  38%|███▊      | 1635/4288 [34:36<56:08,  1.27s/it, avr_loss=0.0835]
steps:  38%|███▊      | 1636/4288 [34:37<56:07,  1.27s/it, avr_loss=0.0835]
steps:  38%|███▊      | 1636/4288 [34:37<56:07,  1.27s/it, avr_loss=0.0835]
steps:  38%|███▊      | 1637/4288 [34:38<56:06,  1.27s/it, avr_loss=0.0835]
steps:  38%|███▊      | 1637/4288 [34:38<56:06,  1.27s/it, avr_loss=0.0835]
steps:  38%|███▊      | 1638/4288 [34:39<56:05,  1.27s/it, avr_loss=0.0835]
steps:  38%|███▊      | 1638/4288 [34:39<56:05,  1.27s/it, avr_loss=0.0836]
steps:  38%|███▊      | 1639/4288 [34:41<56:03,  1.27s/it, avr_loss=0.0836]
steps:  38%|███▊      | 1639/4288 [34:41<56:03,  1.27s/it, avr_loss=0.0836]
steps:  38%|███▊      | 1640/4288 [34:42<56:02,  1.27s/it, avr_loss=0.0836]
steps:  38%|███▊      | 1640/4288 [34:42<56:02,  1.27s/it, avr_loss=0.0835]
steps:  38%|███▊      | 1641/4288 [34:43<56:01,  1.27s/it, avr_loss=0.0835]
steps:  38%|███▊      | 1641/4288 [34:43<56:01,  1.27s/it, avr_loss=0.0834]
steps:  38%|███▊      | 1642/4288 [34:45<56:00,  1.27s/it, avr_loss=0.0834]
steps:  38%|███▊      | 1642/4288 [34:45<56:00,  1.27s/it, avr_loss=0.0834]
steps:  38%|███▊      | 1643/4288 [34:46<55:58,  1.27s/it, avr_loss=0.0834]
steps:  38%|███▊      | 1643/4288 [34:46<55:58,  1.27s/it, avr_loss=0.0836]
steps:  38%|███▊      | 1644/4288 [34:47<55:57,  1.27s/it, avr_loss=0.0836]
steps:  38%|███▊      | 1644/4288 [34:47<55:57,  1.27s/it, avr_loss=0.0837]
steps:  38%|███▊      | 1645/4288 [34:48<55:56,  1.27s/it, avr_loss=0.0837]
steps:  38%|███▊      | 1645/4288 [34:48<55:56,  1.27s/it, avr_loss=0.0837]
steps:  38%|███▊      | 1646/4288 [34:50<55:55,  1.27s/it, avr_loss=0.0837]
steps:  38%|███▊      | 1646/4288 [34:50<55:55,  1.27s/it, avr_loss=0.0834]
steps:  38%|███▊      | 1647/4288 [34:51<55:53,  1.27s/it, avr_loss=0.0834]
steps:  38%|███▊      | 1647/4288 [34:51<55:53,  1.27s/it, avr_loss=0.0836]
steps:  38%|███▊      | 1648/4288 [34:52<55:52,  1.27s/it, avr_loss=0.0836]
steps:  38%|███▊      | 1648/4288 [34:52<55:52,  1.27s/it, avr_loss=0.0837]
steps:  38%|███▊      | 1649/4288 [34:54<55:51,  1.27s/it, avr_loss=0.0837]
steps:  38%|███▊      | 1649/4288 [34:54<55:51,  1.27s/it, avr_loss=0.0839]
steps:  38%|███▊      | 1650/4288 [34:55<55:49,  1.27s/it, avr_loss=0.0839]
steps:  38%|███▊      | 1650/4288 [34:55<55:49,  1.27s/it, avr_loss=0.084] 
steps:  39%|███▊      | 1651/4288 [34:56<55:48,  1.27s/it, avr_loss=0.084]
steps:  39%|███▊      | 1651/4288 [34:56<55:48,  1.27s/it, avr_loss=0.0838]
steps:  39%|███▊      | 1652/4288 [34:57<55:47,  1.27s/it, avr_loss=0.0838]
steps:  39%|███▊      | 1652/4288 [34:57<55:47,  1.27s/it, avr_loss=0.0838]
steps:  39%|███▊      | 1653/4288 [34:58<55:45,  1.27s/it, avr_loss=0.0838]
steps:  39%|███▊      | 1653/4288 [34:58<55:45,  1.27s/it, avr_loss=0.0836]
steps:  39%|███▊      | 1654/4288 [35:00<55:44,  1.27s/it, avr_loss=0.0836]
steps:  39%|███▊      | 1654/4288 [35:00<55:44,  1.27s/it, avr_loss=0.0836]
steps:  39%|███▊      | 1655/4288 [35:01<55:43,  1.27s/it, avr_loss=0.0836]
steps:  39%|███▊      | 1655/4288 [35:01<55:43,  1.27s/it, avr_loss=0.084] 
steps:  39%|███▊      | 1656/4288 [35:02<55:41,  1.27s/it, avr_loss=0.084]
steps:  39%|███▊      | 1656/4288 [35:02<55:41,  1.27s/it, avr_loss=0.0843]
steps:  39%|███▊      | 1657/4288 [35:04<55:40,  1.27s/it, avr_loss=0.0843]
steps:  39%|███▊      | 1657/4288 [35:04<55:40,  1.27s/it, avr_loss=0.0844]
steps:  39%|███▊      | 1658/4288 [35:05<55:39,  1.27s/it, avr_loss=0.0844]
steps:  39%|███▊      | 1658/4288 [35:05<55:39,  1.27s/it, avr_loss=0.0843]
steps:  39%|███▊      | 1659/4288 [35:06<55:38,  1.27s/it, avr_loss=0.0843]
steps:  39%|███▊      | 1659/4288 [35:06<55:38,  1.27s/it, avr_loss=0.084] 
steps:  39%|███▊      | 1660/4288 [35:07<55:37,  1.27s/it, avr_loss=0.084]
steps:  39%|███▊      | 1660/4288 [35:07<55:37,  1.27s/it, avr_loss=0.0839]
steps:  39%|███▊      | 1661/4288 [35:09<55:35,  1.27s/it, avr_loss=0.0839]
steps:  39%|███▊      | 1661/4288 [35:09<55:35,  1.27s/it, avr_loss=0.0838]
steps:  39%|███▉      | 1662/4288 [35:10<55:34,  1.27s/it, avr_loss=0.0838]
steps:  39%|███▉      | 1662/4288 [35:10<55:34,  1.27s/it, avr_loss=0.0839]
steps:  39%|███▉      | 1663/4288 [35:11<55:33,  1.27s/it, avr_loss=0.0839]
steps:  39%|███▉      | 1663/4288 [35:11<55:33,  1.27s/it, avr_loss=0.0836]
steps:  39%|███▉      | 1664/4288 [35:12<55:31,  1.27s/it, avr_loss=0.0836]
steps:  39%|███▉      | 1664/4288 [35:12<55:31,  1.27s/it, avr_loss=0.0839]
steps:  39%|███▉      | 1665/4288 [35:14<55:30,  1.27s/it, avr_loss=0.0839]
steps:  39%|███▉      | 1665/4288 [35:14<55:30,  1.27s/it, avr_loss=0.0839]
steps:  39%|███▉      | 1666/4288 [35:15<55:29,  1.27s/it, avr_loss=0.0839]
steps:  39%|███▉      | 1666/4288 [35:15<55:29,  1.27s/it, avr_loss=0.0842]
steps:  39%|███▉      | 1667/4288 [35:16<55:28,  1.27s/it, avr_loss=0.0842]
steps:  39%|███▉      | 1667/4288 [35:16<55:28,  1.27s/it, avr_loss=0.0844]
steps:  39%|███▉      | 1668/4288 [35:18<55:27,  1.27s/it, avr_loss=0.0844]
steps:  39%|███▉      | 1668/4288 [35:18<55:27,  1.27s/it, avr_loss=0.0843]
steps:  39%|███▉      | 1669/4288 [35:19<55:25,  1.27s/it, avr_loss=0.0843]
steps:  39%|███▉      | 1669/4288 [35:19<55:25,  1.27s/it, avr_loss=0.0842]
steps:  39%|███▉      | 1670/4288 [35:20<55:24,  1.27s/it, avr_loss=0.0842]
steps:  39%|███▉      | 1670/4288 [35:20<55:24,  1.27s/it, avr_loss=0.0842]
steps:  39%|███▉      | 1671/4288 [35:21<55:23,  1.27s/it, avr_loss=0.0842]
steps:  39%|███▉      | 1671/4288 [35:21<55:23,  1.27s/it, avr_loss=0.0841]
steps:  39%|███▉      | 1672/4288 [35:23<55:21,  1.27s/it, avr_loss=0.0841]
steps:  39%|███▉      | 1672/4288 [35:23<55:21,  1.27s/it, avr_loss=0.084] 
steps:  39%|███▉      | 1673/4288 [35:24<55:20,  1.27s/it, avr_loss=0.084]
steps:  39%|███▉      | 1673/4288 [35:24<55:20,  1.27s/it, avr_loss=0.0847]
steps:  39%|███▉      | 1674/4288 [35:25<55:19,  1.27s/it, avr_loss=0.0847]
steps:  39%|███▉      | 1674/4288 [35:25<55:19,  1.27s/it, avr_loss=0.0846]
steps:  39%|███▉      | 1675/4288 [35:26<55:18,  1.27s/it, avr_loss=0.0846]
steps:  39%|███▉      | 1675/4288 [35:26<55:18,  1.27s/it, avr_loss=0.0847]
steps:  39%|███▉      | 1676/4288 [35:28<55:16,  1.27s/it, avr_loss=0.0847]
steps:  39%|███▉      | 1676/4288 [35:28<55:16,  1.27s/it, avr_loss=0.0847]
steps:  39%|███▉      | 1677/4288 [35:29<55:15,  1.27s/it, avr_loss=0.0847]
steps:  39%|███▉      | 1677/4288 [35:29<55:15,  1.27s/it, avr_loss=0.0845]
steps:  39%|███▉      | 1678/4288 [35:30<55:14,  1.27s/it, avr_loss=0.0845]
steps:  39%|███▉      | 1678/4288 [35:30<55:14,  1.27s/it, avr_loss=0.0842]
steps:  39%|███▉      | 1679/4288 [35:32<55:13,  1.27s/it, avr_loss=0.0842]
steps:  39%|███▉      | 1679/4288 [35:32<55:13,  1.27s/it, avr_loss=0.084] 
steps:  39%|███▉      | 1680/4288 [35:33<55:11,  1.27s/it, avr_loss=0.084]
steps:  39%|███▉      | 1680/4288 [35:33<55:11,  1.27s/it, avr_loss=0.0841]
steps:  39%|███▉      | 1681/4288 [35:34<55:10,  1.27s/it, avr_loss=0.0841]
steps:  39%|███▉      | 1681/4288 [35:34<55:10,  1.27s/it, avr_loss=0.0841]
steps:  39%|███▉      | 1682/4288 [35:35<55:09,  1.27s/it, avr_loss=0.0841]
steps:  39%|███▉      | 1682/4288 [35:35<55:09,  1.27s/it, avr_loss=0.0836]
steps:  39%|███▉      | 1683/4288 [35:37<55:08,  1.27s/it, avr_loss=0.0836]
steps:  39%|███▉      | 1683/4288 [35:37<55:08,  1.27s/it, avr_loss=0.0835]
steps:  39%|███▉      | 1684/4288 [35:38<55:06,  1.27s/it, avr_loss=0.0835]
steps:  39%|███▉      | 1684/4288 [35:38<55:06,  1.27s/it, avr_loss=0.0834]
steps:  39%|███▉      | 1685/4288 [35:39<55:05,  1.27s/it, avr_loss=0.0834]
steps:  39%|███▉      | 1685/4288 [35:39<55:05,  1.27s/it, avr_loss=0.0835]
steps:  39%|███▉      | 1686/4288 [35:40<55:03,  1.27s/it, avr_loss=0.0835]
steps:  39%|███▉      | 1686/4288 [35:40<55:03,  1.27s/it, avr_loss=0.0835]
steps:  39%|███▉      | 1687/4288 [35:42<55:02,  1.27s/it, avr_loss=0.0835]
steps:  39%|███▉      | 1687/4288 [35:42<55:02,  1.27s/it, avr_loss=0.0836]
steps:  39%|███▉      | 1688/4288 [35:43<55:01,  1.27s/it, avr_loss=0.0836]
steps:  39%|███▉      | 1688/4288 [35:43<55:01,  1.27s/it, avr_loss=0.0837]
steps:  39%|███▉      | 1689/4288 [35:44<55:00,  1.27s/it, avr_loss=0.0837]
steps:  39%|███▉      | 1689/4288 [35:44<55:00,  1.27s/it, avr_loss=0.0841]
steps:  39%|███▉      | 1690/4288 [35:45<54:58,  1.27s/it, avr_loss=0.0841]
steps:  39%|███▉      | 1690/4288 [35:45<54:58,  1.27s/it, avr_loss=0.0841]
steps:  39%|███▉      | 1691/4288 [35:47<54:57,  1.27s/it, avr_loss=0.0841]
steps:  39%|███▉      | 1691/4288 [35:47<54:57,  1.27s/it, avr_loss=0.0843]
steps:  39%|███▉      | 1692/4288 [35:48<54:56,  1.27s/it, avr_loss=0.0843]
steps:  39%|███▉      | 1692/4288 [35:48<54:56,  1.27s/it, avr_loss=0.0844]
steps:  39%|███▉      | 1693/4288 [35:49<54:54,  1.27s/it, avr_loss=0.0844]
steps:  39%|███▉      | 1693/4288 [35:49<54:54,  1.27s/it, avr_loss=0.0844]
steps:  40%|███▉      | 1694/4288 [35:50<54:53,  1.27s/it, avr_loss=0.0844]
steps:  40%|███▉      | 1694/4288 [35:50<54:53,  1.27s/it, avr_loss=0.0844]
steps:  40%|███▉      | 1695/4288 [35:52<54:52,  1.27s/it, avr_loss=0.0844]
steps:  40%|███▉      | 1695/4288 [35:52<54:52,  1.27s/it, avr_loss=0.0841]
steps:  40%|███▉      | 1696/4288 [35:53<54:51,  1.27s/it, avr_loss=0.0841]
steps:  40%|███▉      | 1696/4288 [35:53<54:51,  1.27s/it, avr_loss=0.0841]
steps:  40%|███▉      | 1697/4288 [35:54<54:50,  1.27s/it, avr_loss=0.0841]
steps:  40%|███▉      | 1697/4288 [35:54<54:50,  1.27s/it, avr_loss=0.0839]
steps:  40%|███▉      | 1698/4288 [35:56<54:48,  1.27s/it, avr_loss=0.0839]
steps:  40%|███▉      | 1698/4288 [35:56<54:48,  1.27s/it, avr_loss=0.0835]
steps:  40%|███▉      | 1699/4288 [35:57<54:47,  1.27s/it, avr_loss=0.0835]
steps:  40%|███▉      | 1699/4288 [35:57<54:47,  1.27s/it, avr_loss=0.0836]
steps:  40%|███▉      | 1700/4288 [35:58<54:46,  1.27s/it, avr_loss=0.0836]
steps:  40%|███▉      | 1700/4288 [35:58<54:46,  1.27s/it, avr_loss=0.0833]
steps:  40%|███▉      | 1701/4288 [36:00<54:45,  1.27s/it, avr_loss=0.0833]
steps:  40%|███▉      | 1701/4288 [36:00<54:45,  1.27s/it, avr_loss=0.0833]
steps:  40%|███▉      | 1702/4288 [36:01<54:43,  1.27s/it, avr_loss=0.0833]
steps:  40%|███▉      | 1702/4288 [36:01<54:43,  1.27s/it, avr_loss=0.0839]
steps:  40%|███▉      | 1703/4288 [36:02<54:42,  1.27s/it, avr_loss=0.0839]
steps:  40%|███▉      | 1703/4288 [36:02<54:42,  1.27s/it, avr_loss=0.084] 
steps:  40%|███▉      | 1704/4288 [36:03<54:41,  1.27s/it, avr_loss=0.084]
steps:  40%|███▉      | 1704/4288 [36:03<54:41,  1.27s/it, avr_loss=0.0841]
steps:  40%|███▉      | 1705/4288 [36:05<54:40,  1.27s/it, avr_loss=0.0841]
steps:  40%|███▉      | 1705/4288 [36:05<54:40,  1.27s/it, avr_loss=0.084] 
steps:  40%|███▉      | 1706/4288 [36:06<54:38,  1.27s/it, avr_loss=0.084]
steps:  40%|███▉      | 1706/4288 [36:06<54:38,  1.27s/it, avr_loss=0.0836]
steps:  40%|███▉      | 1707/4288 [36:07<54:37,  1.27s/it, avr_loss=0.0836]
steps:  40%|███▉      | 1707/4288 [36:07<54:37,  1.27s/it, avr_loss=0.0836]
steps:  40%|███▉      | 1708/4288 [36:08<54:36,  1.27s/it, avr_loss=0.0836]
steps:  40%|███▉      | 1708/4288 [36:08<54:36,  1.27s/it, avr_loss=0.0836]
steps:  40%|███▉      | 1709/4288 [36:10<54:34,  1.27s/it, avr_loss=0.0836]
steps:  40%|███▉      | 1709/4288 [36:10<54:35,  1.27s/it, avr_loss=0.0834]
steps:  40%|███▉      | 1710/4288 [36:11<54:33,  1.27s/it, avr_loss=0.0834]
steps:  40%|███▉      | 1710/4288 [36:11<54:33,  1.27s/it, avr_loss=0.0833]
steps:  40%|███▉      | 1711/4288 [36:12<54:32,  1.27s/it, avr_loss=0.0833]
steps:  40%|███▉      | 1711/4288 [36:12<54:32,  1.27s/it, avr_loss=0.0832]
steps:  40%|███▉      | 1712/4288 [36:13<54:31,  1.27s/it, avr_loss=0.0832]
steps:  40%|███▉      | 1712/4288 [36:13<54:31,  1.27s/it, avr_loss=0.0835]
steps:  40%|███▉      | 1713/4288 [36:15<54:29,  1.27s/it, avr_loss=0.0835]
steps:  40%|███▉      | 1713/4288 [36:15<54:29,  1.27s/it, avr_loss=0.0834]
steps:  40%|███▉      | 1714/4288 [36:16<54:28,  1.27s/it, avr_loss=0.0834]
steps:  40%|███▉      | 1714/4288 [36:16<54:28,  1.27s/it, avr_loss=0.0833]
steps:  40%|███▉      | 1715/4288 [36:17<54:26,  1.27s/it, avr_loss=0.0833]
steps:  40%|███▉      | 1715/4288 [36:17<54:26,  1.27s/it, avr_loss=0.0834]
steps:  40%|████      | 1716/4288 [36:18<54:25,  1.27s/it, avr_loss=0.0834]
steps:  40%|████      | 1716/4288 [36:18<54:25,  1.27s/it, avr_loss=0.0833]
steps:  40%|████      | 1717/4288 [36:20<54:24,  1.27s/it, avr_loss=0.0833]
steps:  40%|████      | 1717/4288 [36:20<54:24,  1.27s/it, avr_loss=0.0836]
steps:  40%|████      | 1718/4288 [36:21<54:23,  1.27s/it, avr_loss=0.0836]
steps:  40%|████      | 1718/4288 [36:21<54:23,  1.27s/it, avr_loss=0.084] 
steps:  40%|████      | 1719/4288 [36:22<54:21,  1.27s/it, avr_loss=0.084]
steps:  40%|████      | 1719/4288 [36:22<54:21,  1.27s/it, avr_loss=0.084]
steps:  40%|████      | 1720/4288 [36:23<54:20,  1.27s/it, avr_loss=0.084]
steps:  40%|████      | 1720/4288 [36:23<54:20,  1.27s/it, avr_loss=0.0844]
steps:  40%|████      | 1721/4288 [36:24<54:18,  1.27s/it, avr_loss=0.0844]
steps:  40%|████      | 1721/4288 [36:24<54:18,  1.27s/it, avr_loss=0.0846]
steps:  40%|████      | 1722/4288 [36:26<54:17,  1.27s/it, avr_loss=0.0846]
steps:  40%|████      | 1722/4288 [36:26<54:17,  1.27s/it, avr_loss=0.0846]
steps:  40%|████      | 1723/4288 [36:27<54:16,  1.27s/it, avr_loss=0.0846]
steps:  40%|████      | 1723/4288 [36:27<54:16,  1.27s/it, avr_loss=0.0847]
steps:  40%|████      | 1724/4288 [36:28<54:15,  1.27s/it, avr_loss=0.0847]
steps:  40%|████      | 1724/4288 [36:28<54:15,  1.27s/it, avr_loss=0.0847]
steps:  40%|████      | 1725/4288 [36:29<54:13,  1.27s/it, avr_loss=0.0847]
steps:  40%|████      | 1725/4288 [36:29<54:13,  1.27s/it, avr_loss=0.0848]
steps:  40%|████      | 1726/4288 [36:31<54:12,  1.27s/it, avr_loss=0.0848]
steps:  40%|████      | 1726/4288 [36:31<54:12,  1.27s/it, avr_loss=0.0851]
steps:  40%|████      | 1727/4288 [36:32<54:11,  1.27s/it, avr_loss=0.0851]
steps:  40%|████      | 1727/4288 [36:32<54:11,  1.27s/it, avr_loss=0.0854]
steps:  40%|████      | 1728/4288 [36:33<54:09,  1.27s/it, avr_loss=0.0854]
steps:  40%|████      | 1728/4288 [36:33<54:09,  1.27s/it, avr_loss=0.0856]
steps:  40%|████      | 1729/4288 [36:34<54:08,  1.27s/it, avr_loss=0.0856]
steps:  40%|████      | 1729/4288 [36:34<54:08,  1.27s/it, avr_loss=0.0856]
steps:  40%|████      | 1730/4288 [36:36<54:07,  1.27s/it, avr_loss=0.0856]
steps:  40%|████      | 1730/4288 [36:36<54:07,  1.27s/it, avr_loss=0.0856]
steps:  40%|████      | 1731/4288 [36:37<54:06,  1.27s/it, avr_loss=0.0856]
steps:  40%|████      | 1731/4288 [36:37<54:06,  1.27s/it, avr_loss=0.0856]
steps:  40%|████      | 1732/4288 [36:39<54:05,  1.27s/it, avr_loss=0.0856]
steps:  40%|████      | 1732/4288 [36:39<54:05,  1.27s/it, avr_loss=0.0857]
steps:  40%|████      | 1733/4288 [36:40<54:04,  1.27s/it, avr_loss=0.0857]
steps:  40%|████      | 1733/4288 [36:40<54:04,  1.27s/it, avr_loss=0.0855]
steps:  40%|████      | 1734/4288 [36:41<54:02,  1.27s/it, avr_loss=0.0855]
steps:  40%|████      | 1734/4288 [36:41<54:02,  1.27s/it, avr_loss=0.0855]
steps:  40%|████      | 1735/4288 [36:42<54:01,  1.27s/it, avr_loss=0.0855]
steps:  40%|████      | 1735/4288 [36:42<54:01,  1.27s/it, avr_loss=0.0857]
steps:  40%|████      | 1736/4288 [36:44<54:00,  1.27s/it, avr_loss=0.0857]
steps:  40%|████      | 1736/4288 [36:44<54:00,  1.27s/it, avr_loss=0.0857]
steps:  41%|████      | 1737/4288 [36:45<53:58,  1.27s/it, avr_loss=0.0857]
steps:  41%|████      | 1737/4288 [36:45<53:58,  1.27s/it, avr_loss=0.0855]
steps:  41%|████      | 1738/4288 [36:46<53:57,  1.27s/it, avr_loss=0.0855]
steps:  41%|████      | 1738/4288 [36:46<53:57,  1.27s/it, avr_loss=0.0855]
steps:  41%|████      | 1739/4288 [36:47<53:56,  1.27s/it, avr_loss=0.0855]
steps:  41%|████      | 1739/4288 [36:47<53:56,  1.27s/it, avr_loss=0.0854]
steps:  41%|████      | 1740/4288 [36:49<53:54,  1.27s/it, avr_loss=0.0854]
steps:  41%|████      | 1740/4288 [36:49<53:54,  1.27s/it, avr_loss=0.0856]
steps:  41%|████      | 1741/4288 [36:50<53:53,  1.27s/it, avr_loss=0.0856]
steps:  41%|████      | 1741/4288 [36:50<53:53,  1.27s/it, avr_loss=0.0856]
steps:  41%|████      | 1742/4288 [36:51<53:52,  1.27s/it, avr_loss=0.0856]
steps:  41%|████      | 1742/4288 [36:51<53:52,  1.27s/it, avr_loss=0.0855]
steps:  41%|████      | 1743/4288 [36:52<53:51,  1.27s/it, avr_loss=0.0855]
steps:  41%|████      | 1743/4288 [36:52<53:51,  1.27s/it, avr_loss=0.0856]
steps:  41%|████      | 1744/4288 [36:54<53:49,  1.27s/it, avr_loss=0.0856]
steps:  41%|████      | 1744/4288 [36:54<53:49,  1.27s/it, avr_loss=0.0857]
steps:  41%|████      | 1745/4288 [36:55<53:48,  1.27s/it, avr_loss=0.0857]
steps:  41%|████      | 1745/4288 [36:55<53:48,  1.27s/it, avr_loss=0.0859]
steps:  41%|████      | 1746/4288 [36:56<53:47,  1.27s/it, avr_loss=0.0859]
steps:  41%|████      | 1746/4288 [36:56<53:47,  1.27s/it, avr_loss=0.0861]
steps:  41%|████      | 1747/4288 [36:57<53:45,  1.27s/it, avr_loss=0.0861]
steps:  41%|████      | 1747/4288 [36:57<53:45,  1.27s/it, avr_loss=0.0864]
steps:  41%|████      | 1748/4288 [36:59<53:44,  1.27s/it, avr_loss=0.0864]
steps:  41%|████      | 1748/4288 [36:59<53:44,  1.27s/it, avr_loss=0.0863]
steps:  41%|████      | 1749/4288 [37:00<53:43,  1.27s/it, avr_loss=0.0863]
steps:  41%|████      | 1749/4288 [37:00<53:43,  1.27s/it, avr_loss=0.0863]
steps:  41%|████      | 1750/4288 [37:01<53:42,  1.27s/it, avr_loss=0.0863]
steps:  41%|████      | 1750/4288 [37:01<53:42,  1.27s/it, avr_loss=0.0865]
steps:  41%|████      | 1751/4288 [37:03<53:40,  1.27s/it, avr_loss=0.0865]
steps:  41%|████      | 1751/4288 [37:03<53:40,  1.27s/it, avr_loss=0.0864]
steps:  41%|████      | 1752/4288 [37:04<53:39,  1.27s/it, avr_loss=0.0864]
steps:  41%|████      | 1752/4288 [37:04<53:39,  1.27s/it, avr_loss=0.0863]
steps:  41%|████      | 1753/4288 [37:05<53:38,  1.27s/it, avr_loss=0.0863]
steps:  41%|████      | 1753/4288 [37:05<53:38,  1.27s/it, avr_loss=0.0859]
steps:  41%|████      | 1754/4288 [37:06<53:37,  1.27s/it, avr_loss=0.0859]
steps:  41%|████      | 1754/4288 [37:06<53:37,  1.27s/it, avr_loss=0.0857]
steps:  41%|████      | 1755/4288 [37:08<53:35,  1.27s/it, avr_loss=0.0857]
steps:  41%|████      | 1755/4288 [37:08<53:35,  1.27s/it, avr_loss=0.0856]
steps:  41%|████      | 1756/4288 [37:09<53:34,  1.27s/it, avr_loss=0.0856]
steps:  41%|████      | 1756/4288 [37:09<53:34,  1.27s/it, avr_loss=0.0856]
steps:  41%|████      | 1757/4288 [37:10<53:33,  1.27s/it, avr_loss=0.0856]
steps:  41%|████      | 1757/4288 [37:10<53:33,  1.27s/it, avr_loss=0.0855]
steps:  41%|████      | 1758/4288 [37:12<53:32,  1.27s/it, avr_loss=0.0855]
steps:  41%|████      | 1758/4288 [37:12<53:32,  1.27s/it, avr_loss=0.0855]
steps:  41%|████      | 1759/4288 [37:13<53:31,  1.27s/it, avr_loss=0.0855]
steps:  41%|████      | 1759/4288 [37:13<53:31,  1.27s/it, avr_loss=0.0853]
steps:  41%|████      | 1760/4288 [37:14<53:29,  1.27s/it, avr_loss=0.0853]
steps:  41%|████      | 1760/4288 [37:14<53:29,  1.27s/it, avr_loss=0.0851]
steps:  41%|████      | 1761/4288 [37:15<53:28,  1.27s/it, avr_loss=0.0851]
steps:  41%|████      | 1761/4288 [37:15<53:28,  1.27s/it, avr_loss=0.0851]
steps:  41%|████      | 1762/4288 [37:17<53:27,  1.27s/it, avr_loss=0.0851]
steps:  41%|████      | 1762/4288 [37:17<53:27,  1.27s/it, avr_loss=0.0851]
steps:  41%|████      | 1763/4288 [37:18<53:25,  1.27s/it, avr_loss=0.0851]
steps:  41%|████      | 1763/4288 [37:18<53:25,  1.27s/it, avr_loss=0.0852]
steps:  41%|████      | 1764/4288 [37:19<53:24,  1.27s/it, avr_loss=0.0852]
steps:  41%|████      | 1764/4288 [37:19<53:24,  1.27s/it, avr_loss=0.0853]
steps:  41%|████      | 1765/4288 [37:20<53:23,  1.27s/it, avr_loss=0.0853]
steps:  41%|████      | 1765/4288 [37:20<53:23,  1.27s/it, avr_loss=0.0852]
steps:  41%|████      | 1766/4288 [37:22<53:21,  1.27s/it, avr_loss=0.0852]
steps:  41%|████      | 1766/4288 [37:22<53:21,  1.27s/it, avr_loss=0.0853]
steps:  41%|████      | 1767/4288 [37:23<53:20,  1.27s/it, avr_loss=0.0853]
steps:  41%|████      | 1767/4288 [37:23<53:20,  1.27s/it, avr_loss=0.0853]
steps:  41%|████      | 1768/4288 [37:24<53:19,  1.27s/it, avr_loss=0.0853]
steps:  41%|████      | 1768/4288 [37:24<53:19,  1.27s/it, avr_loss=0.0854]
steps:  41%|████▏     | 1769/4288 [37:26<53:18,  1.27s/it, avr_loss=0.0854]
steps:  41%|████▏     | 1769/4288 [37:26<53:18,  1.27s/it, avr_loss=0.0853]
steps:  41%|████▏     | 1770/4288 [37:27<53:17,  1.27s/it, avr_loss=0.0853]
steps:  41%|████▏     | 1770/4288 [37:27<53:17,  1.27s/it, avr_loss=0.0855]
steps:  41%|████▏     | 1771/4288 [37:28<53:15,  1.27s/it, avr_loss=0.0855]
steps:  41%|████▏     | 1771/4288 [37:28<53:15,  1.27s/it, avr_loss=0.0855]
steps:  41%|████▏     | 1772/4288 [37:29<53:14,  1.27s/it, avr_loss=0.0855]
steps:  41%|████▏     | 1772/4288 [37:29<53:14,  1.27s/it, avr_loss=0.0857]
steps:  41%|████▏     | 1773/4288 [37:31<53:13,  1.27s/it, avr_loss=0.0857]
steps:  41%|████▏     | 1773/4288 [37:31<53:13,  1.27s/it, avr_loss=0.0853]
steps:  41%|████▏     | 1774/4288 [37:32<53:11,  1.27s/it, avr_loss=0.0853]
steps:  41%|████▏     | 1774/4288 [37:32<53:11,  1.27s/it, avr_loss=0.0853]
steps:  41%|████▏     | 1775/4288 [37:33<53:10,  1.27s/it, avr_loss=0.0853]
steps:  41%|████▏     | 1775/4288 [37:33<53:10,  1.27s/it, avr_loss=0.0853]
steps:  41%|████▏     | 1776/4288 [37:34<53:09,  1.27s/it, avr_loss=0.0853]
steps:  41%|████▏     | 1776/4288 [37:34<53:09,  1.27s/it, avr_loss=0.0854]
steps:  41%|████▏     | 1777/4288 [37:36<53:08,  1.27s/it, avr_loss=0.0854]
steps:  41%|████▏     | 1777/4288 [37:36<53:08,  1.27s/it, avr_loss=0.0855]
steps:  41%|████▏     | 1778/4288 [37:37<53:06,  1.27s/it, avr_loss=0.0855]
steps:  41%|████▏     | 1778/4288 [37:37<53:06,  1.27s/it, avr_loss=0.0855]
steps:  41%|████▏     | 1779/4288 [37:38<53:05,  1.27s/it, avr_loss=0.0855]
steps:  41%|████▏     | 1779/4288 [37:38<53:05,  1.27s/it, avr_loss=0.0857]
steps:  42%|████▏     | 1780/4288 [37:39<53:03,  1.27s/it, avr_loss=0.0857]
steps:  42%|████▏     | 1780/4288 [37:39<53:03,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1781/4288 [37:40<53:02,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1781/4288 [37:40<53:02,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1782/4288 [37:42<53:01,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1782/4288 [37:42<53:01,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1783/4288 [37:43<53:00,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1783/4288 [37:43<53:00,  1.27s/it, avr_loss=0.0854]
steps:  42%|████▏     | 1784/4288 [37:44<52:58,  1.27s/it, avr_loss=0.0854]
steps:  42%|████▏     | 1784/4288 [37:44<52:58,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1785/4288 [37:46<52:57,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1785/4288 [37:46<52:57,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1786/4288 [37:47<52:56,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1786/4288 [37:47<52:56,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1787/4288 [37:48<52:55,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1787/4288 [37:48<52:55,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1788/4288 [37:50<52:54,  1.27s/it, avr_loss=0.0855]
steps:  42%|████▏     | 1788/4288 [37:50<52:54,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1789/4288 [37:51<52:52,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1789/4288 [37:51<52:52,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1790/4288 [37:52<52:51,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1790/4288 [37:52<52:51,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1791/4288 [37:53<52:50,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1791/4288 [37:53<52:50,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1792/4288 [37:55<52:49,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1792/4288 [37:55<52:49,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1793/4288 [37:56<52:47,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1793/4288 [37:56<52:47,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1794/4288 [37:57<52:46,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1794/4288 [37:57<52:46,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1795/4288 [37:59<52:45,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1795/4288 [37:59<52:45,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1796/4288 [38:00<52:44,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1796/4288 [38:00<52:44,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1797/4288 [38:01<52:42,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1797/4288 [38:01<52:42,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1798/4288 [38:02<52:41,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1798/4288 [38:02<52:41,  1.27s/it, avr_loss=0.0856]
steps:  42%|████▏     | 1799/4288 [38:04<52:40,  1.27s/it, avr_loss=0.0856]
steps:  42%|████▏     | 1799/4288 [38:04<52:40,  1.27s/it, avr_loss=0.0857]
steps:  42%|████▏     | 1800/4288 [38:05<52:38,  1.27s/it, avr_loss=0.0857]
steps:  42%|████▏     | 1800/4288 [38:05<52:38,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1801/4288 [38:06<52:37,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1801/4288 [38:06<52:37,  1.27s/it, avr_loss=0.0861]
steps:  42%|████▏     | 1802/4288 [38:07<52:36,  1.27s/it, avr_loss=0.0861]
steps:  42%|████▏     | 1802/4288 [38:07<52:36,  1.27s/it, avr_loss=0.0861]
steps:  42%|████▏     | 1803/4288 [38:09<52:34,  1.27s/it, avr_loss=0.0861]
steps:  42%|████▏     | 1803/4288 [38:09<52:34,  1.27s/it, avr_loss=0.0863]
steps:  42%|████▏     | 1804/4288 [38:10<52:33,  1.27s/it, avr_loss=0.0863]
steps:  42%|████▏     | 1804/4288 [38:10<52:33,  1.27s/it, avr_loss=0.0862]
steps:  42%|████▏     | 1805/4288 [38:11<52:32,  1.27s/it, avr_loss=0.0862]
steps:  42%|████▏     | 1805/4288 [38:11<52:32,  1.27s/it, avr_loss=0.0864]
steps:  42%|████▏     | 1806/4288 [38:12<52:31,  1.27s/it, avr_loss=0.0864]
steps:  42%|████▏     | 1806/4288 [38:12<52:31,  1.27s/it, avr_loss=0.0861]
steps:  42%|████▏     | 1807/4288 [38:14<52:29,  1.27s/it, avr_loss=0.0861]
steps:  42%|████▏     | 1807/4288 [38:14<52:29,  1.27s/it, avr_loss=0.0863]
steps:  42%|████▏     | 1808/4288 [38:15<52:28,  1.27s/it, avr_loss=0.0863]
steps:  42%|████▏     | 1808/4288 [38:15<52:28,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1809/4288 [38:16<52:27,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1809/4288 [38:16<52:27,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1810/4288 [38:18<52:26,  1.27s/it, avr_loss=0.0858]
steps:  42%|████▏     | 1810/4288 [38:18<52:26,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1811/4288 [38:19<52:24,  1.27s/it, avr_loss=0.0859]
steps:  42%|████▏     | 1811/4288 [38:19<52:24,  1.27s/it, avr_loss=0.0857]
steps:  42%|████▏     | 1812/4288 [38:20<52:23,  1.27s/it, avr_loss=0.0857]
steps:  42%|████▏     | 1812/4288 [38:20<52:23,  1.27s/it, avr_loss=0.0843]
steps:  42%|████▏     | 1813/4288 [38:21<52:22,  1.27s/it, avr_loss=0.0843]
steps:  42%|████▏     | 1813/4288 [38:21<52:22,  1.27s/it, avr_loss=0.0844]
steps:  42%|████▏     | 1814/4288 [38:23<52:20,  1.27s/it, avr_loss=0.0844]
steps:  42%|████▏     | 1814/4288 [38:23<52:20,  1.27s/it, avr_loss=0.0843]
steps:  42%|████▏     | 1815/4288 [38:24<52:19,  1.27s/it, avr_loss=0.0843]
steps:  42%|████▏     | 1815/4288 [38:24<52:19,  1.27s/it, avr_loss=0.0842]
steps:  42%|████▏     | 1816/4288 [38:25<52:18,  1.27s/it, avr_loss=0.0842]
steps:  42%|████▏     | 1816/4288 [38:25<52:18,  1.27s/it, avr_loss=0.0844]
steps:  42%|████▏     | 1817/4288 [38:26<52:17,  1.27s/it, avr_loss=0.0844]
steps:  42%|████▏     | 1817/4288 [38:26<52:17,  1.27s/it, avr_loss=0.0844]
steps:  42%|████▏     | 1818/4288 [38:28<52:16,  1.27s/it, avr_loss=0.0844]
steps:  42%|████▏     | 1818/4288 [38:28<52:16,  1.27s/it, avr_loss=0.0839]
steps:  42%|████▏     | 1819/4288 [38:29<52:14,  1.27s/it, avr_loss=0.0839]
steps:  42%|████▏     | 1819/4288 [38:29<52:14,  1.27s/it, avr_loss=0.0838]
steps:  42%|████▏     | 1820/4288 [38:30<52:13,  1.27s/it, avr_loss=0.0838]
steps:  42%|████▏     | 1820/4288 [38:30<52:13,  1.27s/it, avr_loss=0.0841]
steps:  42%|████▏     | 1821/4288 [38:32<52:12,  1.27s/it, avr_loss=0.0841]
steps:  42%|████▏     | 1821/4288 [38:32<52:12,  1.27s/it, avr_loss=0.0843]
steps:  42%|████▏     | 1822/4288 [38:33<52:11,  1.27s/it, avr_loss=0.0843]
steps:  42%|████▏     | 1822/4288 [38:33<52:11,  1.27s/it, avr_loss=0.0843]
steps:  43%|████▎     | 1823/4288 [38:34<52:10,  1.27s/it, avr_loss=0.0843]
steps:  43%|████▎     | 1823/4288 [38:34<52:10,  1.27s/it, avr_loss=0.0842]
steps:  43%|████▎     | 1824/4288 [38:36<52:08,  1.27s/it, avr_loss=0.0842]
steps:  43%|████▎     | 1824/4288 [38:36<52:08,  1.27s/it, avr_loss=0.0843]
steps:  43%|████▎     | 1825/4288 [38:37<52:07,  1.27s/it, avr_loss=0.0843]
steps:  43%|████▎     | 1825/4288 [38:37<52:07,  1.27s/it, avr_loss=0.0845]
steps:  43%|████▎     | 1826/4288 [38:38<52:06,  1.27s/it, avr_loss=0.0845]
steps:  43%|████▎     | 1826/4288 [38:38<52:06,  1.27s/it, avr_loss=0.0846]
steps:  43%|████▎     | 1827/4288 [38:39<52:04,  1.27s/it, avr_loss=0.0846]
steps:  43%|████▎     | 1827/4288 [38:39<52:04,  1.27s/it, avr_loss=0.0847]
steps:  43%|████▎     | 1828/4288 [38:41<52:03,  1.27s/it, avr_loss=0.0847]
steps:  43%|████▎     | 1828/4288 [38:41<52:03,  1.27s/it, avr_loss=0.0848]
steps:  43%|████▎     | 1829/4288 [38:42<52:02,  1.27s/it, avr_loss=0.0848]
steps:  43%|████▎     | 1829/4288 [38:42<52:02,  1.27s/it, avr_loss=0.0848]
steps:  43%|████▎     | 1830/4288 [38:43<52:01,  1.27s/it, avr_loss=0.0848]
steps:  43%|████▎     | 1830/4288 [38:43<52:01,  1.27s/it, avr_loss=0.0849]
steps:  43%|████▎     | 1831/4288 [38:44<51:59,  1.27s/it, avr_loss=0.0849]
steps:  43%|████▎     | 1831/4288 [38:44<51:59,  1.27s/it, avr_loss=0.0848]
steps:  43%|████▎     | 1832/4288 [38:46<51:58,  1.27s/it, avr_loss=0.0848]
steps:  43%|████▎     | 1832/4288 [38:46<51:58,  1.27s/it, avr_loss=0.0849]
steps:  43%|████▎     | 1833/4288 [38:47<51:57,  1.27s/it, avr_loss=0.0849]
steps:  43%|████▎     | 1833/4288 [38:47<51:57,  1.27s/it, avr_loss=0.0848]
steps:  43%|████▎     | 1834/4288 [38:48<51:56,  1.27s/it, avr_loss=0.0848]
steps:  43%|████▎     | 1834/4288 [38:48<51:56,  1.27s/it, avr_loss=0.0849]
steps:  43%|████▎     | 1835/4288 [38:50<51:54,  1.27s/it, avr_loss=0.0849]
steps:  43%|████▎     | 1835/4288 [38:50<51:54,  1.27s/it, avr_loss=0.0848]
steps:  43%|████▎     | 1836/4288 [38:51<51:53,  1.27s/it, avr_loss=0.0848]
steps:  43%|████▎     | 1836/4288 [38:51<51:53,  1.27s/it, avr_loss=0.0852]
steps:  43%|████▎     | 1837/4288 [38:52<51:52,  1.27s/it, avr_loss=0.0852]
steps:  43%|████▎     | 1837/4288 [38:52<51:52,  1.27s/it, avr_loss=0.085] 
steps:  43%|████▎     | 1838/4288 [38:53<51:50,  1.27s/it, avr_loss=0.085]
steps:  43%|████▎     | 1838/4288 [38:53<51:50,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1839/4288 [38:55<51:49,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1839/4288 [38:55<51:49,  1.27s/it, avr_loss=0.0853]
steps:  43%|████▎     | 1840/4288 [38:56<51:48,  1.27s/it, avr_loss=0.0853]
steps:  43%|████▎     | 1840/4288 [38:56<51:48,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1841/4288 [38:57<51:47,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1841/4288 [38:57<51:47,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1842/4288 [38:58<51:45,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1842/4288 [38:58<51:45,  1.27s/it, avr_loss=0.0855]
steps:  43%|████▎     | 1843/4288 [39:00<51:44,  1.27s/it, avr_loss=0.0855]
steps:  43%|████▎     | 1843/4288 [39:00<51:44,  1.27s/it, avr_loss=0.0855]
steps:  43%|████▎     | 1844/4288 [39:01<51:43,  1.27s/it, avr_loss=0.0855]
steps:  43%|████▎     | 1844/4288 [39:01<51:43,  1.27s/it, avr_loss=0.0856]
steps:  43%|████▎     | 1845/4288 [39:02<51:42,  1.27s/it, avr_loss=0.0856]
steps:  43%|████▎     | 1845/4288 [39:02<51:42,  1.27s/it, avr_loss=0.0858]
steps:  43%|████▎     | 1846/4288 [39:04<51:40,  1.27s/it, avr_loss=0.0858]
steps:  43%|████▎     | 1846/4288 [39:04<51:40,  1.27s/it, avr_loss=0.086] 
steps:  43%|████▎     | 1847/4288 [39:05<51:39,  1.27s/it, avr_loss=0.086]
steps:  43%|████▎     | 1847/4288 [39:05<51:39,  1.27s/it, avr_loss=0.086]
steps:  43%|████▎     | 1848/4288 [39:06<51:38,  1.27s/it, avr_loss=0.086]
steps:  43%|████▎     | 1848/4288 [39:06<51:38,  1.27s/it, avr_loss=0.0861]
steps:  43%|████▎     | 1849/4288 [39:07<51:37,  1.27s/it, avr_loss=0.0861]
steps:  43%|████▎     | 1849/4288 [39:07<51:37,  1.27s/it, avr_loss=0.0859]
steps:  43%|████▎     | 1850/4288 [39:09<51:35,  1.27s/it, avr_loss=0.0859]
steps:  43%|████▎     | 1850/4288 [39:09<51:35,  1.27s/it, avr_loss=0.0854]
steps:  43%|████▎     | 1851/4288 [39:10<51:34,  1.27s/it, avr_loss=0.0854]
steps:  43%|████▎     | 1851/4288 [39:10<51:34,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1852/4288 [39:11<51:33,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1852/4288 [39:11<51:33,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1853/4288 [39:13<51:32,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1853/4288 [39:13<51:32,  1.27s/it, avr_loss=0.0852]
steps:  43%|████▎     | 1854/4288 [39:14<51:30,  1.27s/it, avr_loss=0.0852]
steps:  43%|████▎     | 1854/4288 [39:14<51:30,  1.27s/it, avr_loss=0.0852]
steps:  43%|████▎     | 1855/4288 [39:15<51:29,  1.27s/it, avr_loss=0.0852]
steps:  43%|████▎     | 1855/4288 [39:15<51:29,  1.27s/it, avr_loss=0.0853]
steps:  43%|████▎     | 1856/4288 [39:17<51:28,  1.27s/it, avr_loss=0.0853]
steps:  43%|████▎     | 1856/4288 [39:17<51:28,  1.27s/it, avr_loss=0.0853]
steps:  43%|████▎     | 1857/4288 [39:18<51:27,  1.27s/it, avr_loss=0.0853]
steps:  43%|████▎     | 1857/4288 [39:18<51:27,  1.27s/it, avr_loss=0.0852]
steps:  43%|████▎     | 1858/4288 [39:19<51:26,  1.27s/it, avr_loss=0.0852]
steps:  43%|████▎     | 1858/4288 [39:19<51:26,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1859/4288 [39:20<51:24,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1859/4288 [39:20<51:24,  1.27s/it, avr_loss=0.0852]
steps:  43%|████▎     | 1860/4288 [39:22<51:23,  1.27s/it, avr_loss=0.0852]
steps:  43%|████▎     | 1860/4288 [39:22<51:23,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1861/4288 [39:23<51:22,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1861/4288 [39:23<51:22,  1.27s/it, avr_loss=0.0849]
steps:  43%|████▎     | 1862/4288 [39:24<51:21,  1.27s/it, avr_loss=0.0849]
steps:  43%|████▎     | 1862/4288 [39:24<51:21,  1.27s/it, avr_loss=0.0849]
steps:  43%|████▎     | 1863/4288 [39:26<51:19,  1.27s/it, avr_loss=0.0849]
steps:  43%|████▎     | 1863/4288 [39:26<51:19,  1.27s/it, avr_loss=0.085] 
steps:  43%|████▎     | 1864/4288 [39:27<51:18,  1.27s/it, avr_loss=0.085]
steps:  43%|████▎     | 1864/4288 [39:27<51:18,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1865/4288 [39:28<51:17,  1.27s/it, avr_loss=0.0851]
steps:  43%|████▎     | 1865/4288 [39:28<51:17,  1.27s/it, avr_loss=0.0849]
steps:  44%|████▎     | 1866/4288 [39:29<51:15,  1.27s/it, avr_loss=0.0849]
steps:  44%|████▎     | 1866/4288 [39:29<51:15,  1.27s/it, avr_loss=0.0849]
steps:  44%|████▎     | 1867/4288 [39:30<51:14,  1.27s/it, avr_loss=0.0849]
steps:  44%|████▎     | 1867/4288 [39:30<51:14,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▎     | 1868/4288 [39:32<51:13,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▎     | 1868/4288 [39:32<51:13,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▎     | 1869/4288 [39:33<51:11,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▎     | 1869/4288 [39:33<51:11,  1.27s/it, avr_loss=0.0852]
steps:  44%|████▎     | 1870/4288 [39:34<51:10,  1.27s/it, avr_loss=0.0852]
steps:  44%|████▎     | 1870/4288 [39:34<51:10,  1.27s/it, avr_loss=0.0853]
steps:  44%|████▎     | 1871/4288 [39:35<51:09,  1.27s/it, avr_loss=0.0853]
steps:  44%|████▎     | 1871/4288 [39:35<51:09,  1.27s/it, avr_loss=0.0853]
steps:  44%|████▎     | 1872/4288 [39:37<51:07,  1.27s/it, avr_loss=0.0853]
steps:  44%|████▎     | 1872/4288 [39:37<51:07,  1.27s/it, avr_loss=0.0852]
steps:  44%|████▎     | 1873/4288 [39:38<51:06,  1.27s/it, avr_loss=0.0852]
steps:  44%|████▎     | 1873/4288 [39:38<51:06,  1.27s/it, avr_loss=0.0852]
steps:  44%|████▎     | 1874/4288 [39:39<51:05,  1.27s/it, avr_loss=0.0852]
steps:  44%|████▎     | 1874/4288 [39:39<51:05,  1.27s/it, avr_loss=0.086] 
steps:  44%|████▎     | 1875/4288 [39:40<51:03,  1.27s/it, avr_loss=0.086]
steps:  44%|████▎     | 1875/4288 [39:40<51:03,  1.27s/it, avr_loss=0.0859]
steps:  44%|████▍     | 1876/4288 [39:42<51:02,  1.27s/it, avr_loss=0.0859]
steps:  44%|████▍     | 1876/4288 [39:42<51:02,  1.27s/it, avr_loss=0.0861]2026-07-24 14:15:24 INFO     epoch is incremented. current_epoch: dataset.py:464
                             7, epoch: 8                                        
2026-07-24 14:15:24 INFO     epoch is incremented. current_epoch: dataset.py:464
                             7, epoch: 8                                        

steps:  44%|████▍     | 1877/4288 [39:43<51:01,  1.27s/it, avr_loss=0.0861]
steps:  44%|████▍     | 1877/4288 [39:43<51:01,  1.27s/it, avr_loss=0.0861]
steps:  44%|████▍     | 1878/4288 [39:44<51:00,  1.27s/it, avr_loss=0.0861]
steps:  44%|████▍     | 1878/4288 [39:44<51:00,  1.27s/it, avr_loss=0.0861]
steps:  44%|████▍     | 1879/4288 [39:45<50:58,  1.27s/it, avr_loss=0.0861]
steps:  44%|████▍     | 1879/4288 [39:45<50:58,  1.27s/it, avr_loss=0.0856]
steps:  44%|████▍     | 1880/4288 [39:46<50:57,  1.27s/it, avr_loss=0.0856]
steps:  44%|████▍     | 1880/4288 [39:46<50:57,  1.27s/it, avr_loss=0.0855]
steps:  44%|████▍     | 1881/4288 [39:48<50:56,  1.27s/it, avr_loss=0.0855]
steps:  44%|████▍     | 1881/4288 [39:48<50:56,  1.27s/it, avr_loss=0.0855]
steps:  44%|████▍     | 1882/4288 [39:49<50:54,  1.27s/it, avr_loss=0.0855]
steps:  44%|████▍     | 1882/4288 [39:49<50:54,  1.27s/it, avr_loss=0.0857]
steps:  44%|████▍     | 1883/4288 [39:50<50:53,  1.27s/it, avr_loss=0.0857]
steps:  44%|████▍     | 1883/4288 [39:50<50:53,  1.27s/it, avr_loss=0.0857]
steps:  44%|████▍     | 1884/4288 [39:51<50:52,  1.27s/it, avr_loss=0.0857]
steps:  44%|████▍     | 1884/4288 [39:51<50:52,  1.27s/it, avr_loss=0.0863]
steps:  44%|████▍     | 1885/4288 [39:53<50:50,  1.27s/it, avr_loss=0.0863]
steps:  44%|████▍     | 1885/4288 [39:53<50:50,  1.27s/it, avr_loss=0.0861]
steps:  44%|████▍     | 1886/4288 [39:54<50:49,  1.27s/it, avr_loss=0.0861]
steps:  44%|████▍     | 1886/4288 [39:54<50:49,  1.27s/it, avr_loss=0.086] 
steps:  44%|████▍     | 1887/4288 [39:55<50:48,  1.27s/it, avr_loss=0.086]
steps:  44%|████▍     | 1887/4288 [39:55<50:48,  1.27s/it, avr_loss=0.086]
steps:  44%|████▍     | 1888/4288 [39:57<50:47,  1.27s/it, avr_loss=0.086]
steps:  44%|████▍     | 1888/4288 [39:57<50:47,  1.27s/it, avr_loss=0.086]
steps:  44%|████▍     | 1889/4288 [39:58<50:45,  1.27s/it, avr_loss=0.086]
steps:  44%|████▍     | 1889/4288 [39:58<50:45,  1.27s/it, avr_loss=0.0859]
steps:  44%|████▍     | 1890/4288 [39:59<50:44,  1.27s/it, avr_loss=0.0859]
steps:  44%|████▍     | 1890/4288 [39:59<50:44,  1.27s/it, avr_loss=0.0857]
steps:  44%|████▍     | 1891/4288 [40:00<50:43,  1.27s/it, avr_loss=0.0857]
steps:  44%|████▍     | 1891/4288 [40:00<50:43,  1.27s/it, avr_loss=0.0856]
steps:  44%|████▍     | 1892/4288 [40:02<50:42,  1.27s/it, avr_loss=0.0856]
steps:  44%|████▍     | 1892/4288 [40:02<50:42,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▍     | 1893/4288 [40:03<50:40,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▍     | 1893/4288 [40:03<50:40,  1.27s/it, avr_loss=0.085] 
steps:  44%|████▍     | 1894/4288 [40:04<50:39,  1.27s/it, avr_loss=0.085]
steps:  44%|████▍     | 1894/4288 [40:04<50:39,  1.27s/it, avr_loss=0.0852]
steps:  44%|████▍     | 1895/4288 [40:06<50:38,  1.27s/it, avr_loss=0.0852]
steps:  44%|████▍     | 1895/4288 [40:06<50:38,  1.27s/it, avr_loss=0.0853]
steps:  44%|████▍     | 1896/4288 [40:07<50:37,  1.27s/it, avr_loss=0.0853]
steps:  44%|████▍     | 1896/4288 [40:07<50:37,  1.27s/it, avr_loss=0.0857]
steps:  44%|████▍     | 1897/4288 [40:08<50:36,  1.27s/it, avr_loss=0.0857]
steps:  44%|████▍     | 1897/4288 [40:08<50:36,  1.27s/it, avr_loss=0.0858]
steps:  44%|████▍     | 1898/4288 [40:09<50:34,  1.27s/it, avr_loss=0.0858]
steps:  44%|████▍     | 1898/4288 [40:09<50:34,  1.27s/it, avr_loss=0.086] 
steps:  44%|████▍     | 1899/4288 [40:11<50:33,  1.27s/it, avr_loss=0.086]
steps:  44%|████▍     | 1899/4288 [40:11<50:33,  1.27s/it, avr_loss=0.086]
steps:  44%|████▍     | 1900/4288 [40:12<50:32,  1.27s/it, avr_loss=0.086]
steps:  44%|████▍     | 1900/4288 [40:12<50:32,  1.27s/it, avr_loss=0.0855]
steps:  44%|████▍     | 1901/4288 [40:13<50:31,  1.27s/it, avr_loss=0.0855]
steps:  44%|████▍     | 1901/4288 [40:13<50:31,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▍     | 1902/4288 [40:15<50:29,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▍     | 1902/4288 [40:15<50:29,  1.27s/it, avr_loss=0.0852]
steps:  44%|████▍     | 1903/4288 [40:16<50:28,  1.27s/it, avr_loss=0.0852]
steps:  44%|████▍     | 1903/4288 [40:16<50:28,  1.27s/it, avr_loss=0.0848]
steps:  44%|████▍     | 1904/4288 [40:17<50:27,  1.27s/it, avr_loss=0.0848]
steps:  44%|████▍     | 1904/4288 [40:17<50:27,  1.27s/it, avr_loss=0.0849]
steps:  44%|████▍     | 1905/4288 [40:18<50:25,  1.27s/it, avr_loss=0.0849]
steps:  44%|████▍     | 1905/4288 [40:18<50:25,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▍     | 1906/4288 [40:20<50:24,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▍     | 1906/4288 [40:20<50:24,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▍     | 1907/4288 [40:21<50:23,  1.27s/it, avr_loss=0.0851]
steps:  44%|████▍     | 1907/4288 [40:21<50:23,  1.27s/it, avr_loss=0.085] 
steps:  44%|████▍     | 1908/4288 [40:22<50:22,  1.27s/it, avr_loss=0.085]
steps:  44%|████▍     | 1908/4288 [40:22<50:22,  1.27s/it, avr_loss=0.0852]
steps:  45%|████▍     | 1909/4288 [40:24<50:20,  1.27s/it, avr_loss=0.0852]
steps:  45%|████▍     | 1909/4288 [40:24<50:20,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▍     | 1910/4288 [40:25<50:19,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▍     | 1910/4288 [40:25<50:19,  1.27s/it, avr_loss=0.0862]
steps:  45%|████▍     | 1911/4288 [40:26<50:18,  1.27s/it, avr_loss=0.0862]
steps:  45%|████▍     | 1911/4288 [40:26<50:18,  1.27s/it, avr_loss=0.0861]
steps:  45%|████▍     | 1912/4288 [40:27<50:17,  1.27s/it, avr_loss=0.0861]
steps:  45%|████▍     | 1912/4288 [40:27<50:17,  1.27s/it, avr_loss=0.0859]
steps:  45%|████▍     | 1913/4288 [40:29<50:15,  1.27s/it, avr_loss=0.0859]
steps:  45%|████▍     | 1913/4288 [40:29<50:15,  1.27s/it, avr_loss=0.0859]
steps:  45%|████▍     | 1914/4288 [40:30<50:14,  1.27s/it, avr_loss=0.0859]
steps:  45%|████▍     | 1914/4288 [40:30<50:14,  1.27s/it, avr_loss=0.086] 
steps:  45%|████▍     | 1915/4288 [40:31<50:13,  1.27s/it, avr_loss=0.086]
steps:  45%|████▍     | 1915/4288 [40:31<50:13,  1.27s/it, avr_loss=0.0859]
steps:  45%|████▍     | 1916/4288 [40:33<50:12,  1.27s/it, avr_loss=0.0859]
steps:  45%|████▍     | 1916/4288 [40:33<50:12,  1.27s/it, avr_loss=0.086] 
steps:  45%|████▍     | 1917/4288 [40:34<50:10,  1.27s/it, avr_loss=0.086]
steps:  45%|████▍     | 1917/4288 [40:34<50:10,  1.27s/it, avr_loss=0.0861]
steps:  45%|████▍     | 1918/4288 [40:35<50:09,  1.27s/it, avr_loss=0.0861]
steps:  45%|████▍     | 1918/4288 [40:35<50:09,  1.27s/it, avr_loss=0.086] 
steps:  45%|████▍     | 1919/4288 [40:36<50:08,  1.27s/it, avr_loss=0.086]
steps:  45%|████▍     | 1919/4288 [40:36<50:08,  1.27s/it, avr_loss=0.0861]
steps:  45%|████▍     | 1920/4288 [40:38<50:06,  1.27s/it, avr_loss=0.0861]
steps:  45%|████▍     | 1920/4288 [40:38<50:06,  1.27s/it, avr_loss=0.086] 
steps:  45%|████▍     | 1921/4288 [40:39<50:05,  1.27s/it, avr_loss=0.086]
steps:  45%|████▍     | 1921/4288 [40:39<50:05,  1.27s/it, avr_loss=0.086]
steps:  45%|████▍     | 1922/4288 [40:40<50:04,  1.27s/it, avr_loss=0.086]
steps:  45%|████▍     | 1922/4288 [40:40<50:04,  1.27s/it, avr_loss=0.0861]
steps:  45%|████▍     | 1923/4288 [40:42<50:03,  1.27s/it, avr_loss=0.0861]
steps:  45%|████▍     | 1923/4288 [40:42<50:03,  1.27s/it, avr_loss=0.0857]
steps:  45%|████▍     | 1924/4288 [40:43<50:02,  1.27s/it, avr_loss=0.0857]
steps:  45%|████▍     | 1924/4288 [40:43<50:02,  1.27s/it, avr_loss=0.0853]
steps:  45%|████▍     | 1925/4288 [40:44<50:00,  1.27s/it, avr_loss=0.0853]
steps:  45%|████▍     | 1925/4288 [40:44<50:00,  1.27s/it, avr_loss=0.0853]
steps:  45%|████▍     | 1926/4288 [40:45<49:59,  1.27s/it, avr_loss=0.0853]
steps:  45%|████▍     | 1926/4288 [40:45<49:59,  1.27s/it, avr_loss=0.0854]
steps:  45%|████▍     | 1927/4288 [40:46<49:57,  1.27s/it, avr_loss=0.0854]
steps:  45%|████▍     | 1927/4288 [40:46<49:57,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▍     | 1928/4288 [40:48<49:56,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▍     | 1928/4288 [40:48<49:56,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▍     | 1929/4288 [40:49<49:55,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▍     | 1929/4288 [40:49<49:55,  1.27s/it, avr_loss=0.0857]
steps:  45%|████▌     | 1930/4288 [40:50<49:53,  1.27s/it, avr_loss=0.0857]
steps:  45%|████▌     | 1930/4288 [40:50<49:53,  1.27s/it, avr_loss=0.086] 
steps:  45%|████▌     | 1931/4288 [40:51<49:52,  1.27s/it, avr_loss=0.086]
steps:  45%|████▌     | 1931/4288 [40:51<49:52,  1.27s/it, avr_loss=0.0861]
steps:  45%|████▌     | 1932/4288 [40:53<49:51,  1.27s/it, avr_loss=0.0861]
steps:  45%|████▌     | 1932/4288 [40:53<49:51,  1.27s/it, avr_loss=0.0859]
steps:  45%|████▌     | 1933/4288 [40:54<49:50,  1.27s/it, avr_loss=0.0859]
steps:  45%|████▌     | 1933/4288 [40:54<49:50,  1.27s/it, avr_loss=0.0859]
steps:  45%|████▌     | 1934/4288 [40:55<49:49,  1.27s/it, avr_loss=0.0859]
steps:  45%|████▌     | 1934/4288 [40:55<49:49,  1.27s/it, avr_loss=0.0858]
steps:  45%|████▌     | 1935/4288 [40:57<49:47,  1.27s/it, avr_loss=0.0858]
steps:  45%|████▌     | 1935/4288 [40:57<49:47,  1.27s/it, avr_loss=0.0857]
steps:  45%|████▌     | 1936/4288 [40:58<49:46,  1.27s/it, avr_loss=0.0857]
steps:  45%|████▌     | 1936/4288 [40:58<49:46,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▌     | 1937/4288 [40:59<49:45,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▌     | 1937/4288 [40:59<49:45,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▌     | 1938/4288 [41:00<49:43,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▌     | 1938/4288 [41:00<49:43,  1.27s/it, avr_loss=0.0858]
steps:  45%|████▌     | 1939/4288 [41:01<49:42,  1.27s/it, avr_loss=0.0858]
steps:  45%|████▌     | 1939/4288 [41:01<49:42,  1.27s/it, avr_loss=0.0857]
steps:  45%|████▌     | 1940/4288 [41:03<49:41,  1.27s/it, avr_loss=0.0857]
steps:  45%|████▌     | 1940/4288 [41:03<49:41,  1.27s/it, avr_loss=0.0856]
steps:  45%|████▌     | 1941/4288 [41:04<49:40,  1.27s/it, avr_loss=0.0856]
steps:  45%|████▌     | 1941/4288 [41:04<49:40,  1.27s/it, avr_loss=0.085] 
steps:  45%|████▌     | 1942/4288 [41:05<49:38,  1.27s/it, avr_loss=0.085]
steps:  45%|████▌     | 1942/4288 [41:05<49:38,  1.27s/it, avr_loss=0.0851]
steps:  45%|████▌     | 1943/4288 [41:07<49:37,  1.27s/it, avr_loss=0.0851]
steps:  45%|████▌     | 1943/4288 [41:07<49:37,  1.27s/it, avr_loss=0.0852]
steps:  45%|████▌     | 1944/4288 [41:08<49:36,  1.27s/it, avr_loss=0.0852]
steps:  45%|████▌     | 1944/4288 [41:08<49:36,  1.27s/it, avr_loss=0.0853]
steps:  45%|████▌     | 1945/4288 [41:09<49:35,  1.27s/it, avr_loss=0.0853]
steps:  45%|████▌     | 1945/4288 [41:09<49:35,  1.27s/it, avr_loss=0.0852]
steps:  45%|████▌     | 1946/4288 [41:10<49:33,  1.27s/it, avr_loss=0.0852]
steps:  45%|████▌     | 1946/4288 [41:10<49:33,  1.27s/it, avr_loss=0.0854]
steps:  45%|████▌     | 1947/4288 [41:12<49:32,  1.27s/it, avr_loss=0.0854]
steps:  45%|████▌     | 1947/4288 [41:12<49:32,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▌     | 1948/4288 [41:13<49:31,  1.27s/it, avr_loss=0.0855]
steps:  45%|████▌     | 1948/4288 [41:13<49:31,  1.27s/it, avr_loss=0.0857]
steps:  45%|████▌     | 1949/4288 [41:14<49:29,  1.27s/it, avr_loss=0.0857]
steps:  45%|████▌     | 1949/4288 [41:14<49:29,  1.27s/it, avr_loss=0.0867]
steps:  45%|████▌     | 1950/4288 [41:15<49:28,  1.27s/it, avr_loss=0.0867]
steps:  45%|████▌     | 1950/4288 [41:15<49:28,  1.27s/it, avr_loss=0.0868]
steps:  45%|████▌     | 1951/4288 [41:17<49:27,  1.27s/it, avr_loss=0.0868]
steps:  45%|████▌     | 1951/4288 [41:17<49:27,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1952/4288 [41:18<49:26,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1952/4288 [41:18<49:26,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1953/4288 [41:19<49:24,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1953/4288 [41:19<49:24,  1.27s/it, avr_loss=0.0867]
steps:  46%|████▌     | 1954/4288 [41:21<49:23,  1.27s/it, avr_loss=0.0867]
steps:  46%|████▌     | 1954/4288 [41:21<49:23,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1955/4288 [41:22<49:22,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1955/4288 [41:22<49:22,  1.27s/it, avr_loss=0.087] 
steps:  46%|████▌     | 1956/4288 [41:23<49:21,  1.27s/it, avr_loss=0.087]
steps:  46%|████▌     | 1956/4288 [41:23<49:21,  1.27s/it, avr_loss=0.087]
steps:  46%|████▌     | 1957/4288 [41:25<49:20,  1.27s/it, avr_loss=0.087]
steps:  46%|████▌     | 1957/4288 [41:25<49:20,  1.27s/it, avr_loss=0.087]
steps:  46%|████▌     | 1958/4288 [41:26<49:18,  1.27s/it, avr_loss=0.087]
steps:  46%|████▌     | 1958/4288 [41:26<49:18,  1.27s/it, avr_loss=0.087]
steps:  46%|████▌     | 1959/4288 [41:27<49:17,  1.27s/it, avr_loss=0.087]
steps:  46%|████▌     | 1959/4288 [41:27<49:17,  1.27s/it, avr_loss=0.0871]
steps:  46%|████▌     | 1960/4288 [41:28<49:16,  1.27s/it, avr_loss=0.0871]
steps:  46%|████▌     | 1960/4288 [41:28<49:16,  1.27s/it, avr_loss=0.0872]
steps:  46%|████▌     | 1961/4288 [41:30<49:14,  1.27s/it, avr_loss=0.0872]
steps:  46%|████▌     | 1961/4288 [41:30<49:14,  1.27s/it, avr_loss=0.0872]
steps:  46%|████▌     | 1962/4288 [41:31<49:13,  1.27s/it, avr_loss=0.0872]
steps:  46%|████▌     | 1962/4288 [41:31<49:13,  1.27s/it, avr_loss=0.087] 
steps:  46%|████▌     | 1963/4288 [41:32<49:12,  1.27s/it, avr_loss=0.087]
steps:  46%|████▌     | 1963/4288 [41:32<49:12,  1.27s/it, avr_loss=0.0866]
steps:  46%|████▌     | 1964/4288 [41:34<49:11,  1.27s/it, avr_loss=0.0866]
steps:  46%|████▌     | 1964/4288 [41:34<49:11,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1965/4288 [41:35<49:10,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1965/4288 [41:35<49:10,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1966/4288 [41:36<49:08,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1966/4288 [41:36<49:08,  1.27s/it, avr_loss=0.0869]
steps:  46%|████▌     | 1967/4288 [41:38<49:07,  1.27s/it, avr_loss=0.0869]
steps:  46%|████▌     | 1967/4288 [41:38<49:07,  1.27s/it, avr_loss=0.0866]
steps:  46%|████▌     | 1968/4288 [41:39<49:06,  1.27s/it, avr_loss=0.0866]
steps:  46%|████▌     | 1968/4288 [41:39<49:06,  1.27s/it, avr_loss=0.0866]
steps:  46%|████▌     | 1969/4288 [41:40<49:05,  1.27s/it, avr_loss=0.0866]
steps:  46%|████▌     | 1969/4288 [41:40<49:05,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1970/4288 [41:41<49:03,  1.27s/it, avr_loss=0.0868]
steps:  46%|████▌     | 1970/4288 [41:41<49:03,  1.27s/it, avr_loss=0.0861]
steps:  46%|████▌     | 1971/4288 [41:43<49:02,  1.27s/it, avr_loss=0.0861]
steps:  46%|████▌     | 1971/4288 [41:43<49:02,  1.27s/it, avr_loss=0.087] 
steps:  46%|████▌     | 1972/4288 [41:44<49:01,  1.27s/it, avr_loss=0.087]
steps:  46%|████▌     | 1972/4288 [41:44<49:01,  1.27s/it, avr_loss=0.0871]
steps:  46%|████▌     | 1973/4288 [41:45<48:59,  1.27s/it, avr_loss=0.0871]
steps:  46%|████▌     | 1973/4288 [41:45<48:59,  1.27s/it, avr_loss=0.0871]
steps:  46%|████▌     | 1974/4288 [41:46<48:58,  1.27s/it, avr_loss=0.0871]
steps:  46%|████▌     | 1974/4288 [41:46<48:58,  1.27s/it, avr_loss=0.0869]
steps:  46%|████▌     | 1975/4288 [41:48<48:57,  1.27s/it, avr_loss=0.0869]
steps:  46%|████▌     | 1975/4288 [41:48<48:57,  1.27s/it, avr_loss=0.087] 
steps:  46%|████▌     | 1976/4288 [41:49<48:56,  1.27s/it, avr_loss=0.087]
steps:  46%|████▌     | 1976/4288 [41:49<48:56,  1.27s/it, avr_loss=0.0871]
steps:  46%|████▌     | 1977/4288 [41:50<48:54,  1.27s/it, avr_loss=0.0871]
steps:  46%|████▌     | 1977/4288 [41:50<48:54,  1.27s/it, avr_loss=0.0872]
steps:  46%|████▌     | 1978/4288 [41:51<48:53,  1.27s/it, avr_loss=0.0872]
steps:  46%|████▌     | 1978/4288 [41:51<48:53,  1.27s/it, avr_loss=0.0872]
steps:  46%|████▌     | 1979/4288 [41:53<48:52,  1.27s/it, avr_loss=0.0872]
steps:  46%|████▌     | 1979/4288 [41:53<48:52,  1.27s/it, avr_loss=0.0875]
steps:  46%|████▌     | 1980/4288 [41:54<48:51,  1.27s/it, avr_loss=0.0875]
steps:  46%|████▌     | 1980/4288 [41:54<48:51,  1.27s/it, avr_loss=0.0871]
steps:  46%|████▌     | 1981/4288 [41:55<48:49,  1.27s/it, avr_loss=0.0871]
steps:  46%|████▌     | 1981/4288 [41:55<48:49,  1.27s/it, avr_loss=0.0873]
steps:  46%|████▌     | 1982/4288 [41:57<48:48,  1.27s/it, avr_loss=0.0873]
steps:  46%|████▌     | 1982/4288 [41:57<48:48,  1.27s/it, avr_loss=0.0875]
steps:  46%|████▌     | 1983/4288 [41:58<48:47,  1.27s/it, avr_loss=0.0875]
steps:  46%|████▌     | 1983/4288 [41:58<48:47,  1.27s/it, avr_loss=0.0873]
steps:  46%|████▋     | 1984/4288 [41:59<48:46,  1.27s/it, avr_loss=0.0873]
steps:  46%|████▋     | 1984/4288 [41:59<48:46,  1.27s/it, avr_loss=0.0873]
steps:  46%|████▋     | 1985/4288 [42:00<48:44,  1.27s/it, avr_loss=0.0873]
steps:  46%|████▋     | 1985/4288 [42:00<48:44,  1.27s/it, avr_loss=0.0869]
steps:  46%|████▋     | 1986/4288 [42:02<48:43,  1.27s/it, avr_loss=0.0869]
steps:  46%|████▋     | 1986/4288 [42:02<48:43,  1.27s/it, avr_loss=0.0865]
steps:  46%|████▋     | 1987/4288 [42:03<48:42,  1.27s/it, avr_loss=0.0865]
steps:  46%|████▋     | 1987/4288 [42:03<48:42,  1.27s/it, avr_loss=0.0865]
steps:  46%|████▋     | 1988/4288 [42:04<48:40,  1.27s/it, avr_loss=0.0865]
steps:  46%|████▋     | 1988/4288 [42:04<48:40,  1.27s/it, avr_loss=0.0862]
steps:  46%|████▋     | 1989/4288 [42:05<48:39,  1.27s/it, avr_loss=0.0862]
steps:  46%|████▋     | 1989/4288 [42:05<48:39,  1.27s/it, avr_loss=0.0858]
steps:  46%|████▋     | 1990/4288 [42:07<48:38,  1.27s/it, avr_loss=0.0858]
steps:  46%|████▋     | 1990/4288 [42:07<48:38,  1.27s/it, avr_loss=0.0858]
steps:  46%|████▋     | 1991/4288 [42:08<48:36,  1.27s/it, avr_loss=0.0858]
steps:  46%|████▋     | 1991/4288 [42:08<48:36,  1.27s/it, avr_loss=0.0858]
steps:  46%|████▋     | 1992/4288 [42:09<48:35,  1.27s/it, avr_loss=0.0858]
steps:  46%|████▋     | 1992/4288 [42:09<48:35,  1.27s/it, avr_loss=0.0858]
steps:  46%|████▋     | 1993/4288 [42:10<48:34,  1.27s/it, avr_loss=0.0858]
steps:  46%|████▋     | 1993/4288 [42:10<48:34,  1.27s/it, avr_loss=0.0863]
steps:  47%|████▋     | 1994/4288 [42:12<48:33,  1.27s/it, avr_loss=0.0863]
steps:  47%|████▋     | 1994/4288 [42:12<48:33,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 1995/4288 [42:13<48:31,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 1995/4288 [42:13<48:31,  1.27s/it, avr_loss=0.0865]
steps:  47%|████▋     | 1996/4288 [42:14<48:30,  1.27s/it, avr_loss=0.0865]
steps:  47%|████▋     | 1996/4288 [42:14<48:30,  1.27s/it, avr_loss=0.0864]
steps:  47%|████▋     | 1997/4288 [42:15<48:29,  1.27s/it, avr_loss=0.0864]
steps:  47%|████▋     | 1997/4288 [42:15<48:29,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 1998/4288 [42:17<48:27,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 1998/4288 [42:17<48:27,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 1999/4288 [42:18<48:26,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 1999/4288 [42:18<48:26,  1.27s/it, avr_loss=0.087] 
steps:  47%|████▋     | 2000/4288 [42:19<48:25,  1.27s/it, avr_loss=0.087]
steps:  47%|████▋     | 2000/4288 [42:19<48:25,  1.27s/it, avr_loss=0.087]
steps:  47%|████▋     | 2001/4288 [42:21<48:24,  1.27s/it, avr_loss=0.087]
steps:  47%|████▋     | 2001/4288 [42:21<48:24,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2002/4288 [42:22<48:22,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2002/4288 [42:22<48:22,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2003/4288 [42:23<48:21,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2003/4288 [42:23<48:21,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 2004/4288 [42:24<48:20,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 2004/4288 [42:24<48:20,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 2005/4288 [42:25<48:18,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 2005/4288 [42:25<48:18,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 2006/4288 [42:27<48:17,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 2006/4288 [42:27<48:17,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2007/4288 [42:28<48:16,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2007/4288 [42:28<48:16,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2008/4288 [42:29<48:15,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2008/4288 [42:29<48:15,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2009/4288 [42:30<48:13,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2009/4288 [42:30<48:13,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 2010/4288 [42:32<48:12,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 2010/4288 [42:32<48:12,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2011/4288 [42:33<48:11,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2011/4288 [42:33<48:11,  1.27s/it, avr_loss=0.0869]
steps:  47%|████▋     | 2012/4288 [42:34<48:10,  1.27s/it, avr_loss=0.0869]
steps:  47%|████▋     | 2012/4288 [42:34<48:10,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 2013/4288 [42:36<48:08,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 2013/4288 [42:36<48:08,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 2014/4288 [42:37<48:07,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 2014/4288 [42:37<48:07,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 2015/4288 [42:38<48:06,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 2015/4288 [42:38<48:06,  1.27s/it, avr_loss=0.0864]
steps:  47%|████▋     | 2016/4288 [42:39<48:04,  1.27s/it, avr_loss=0.0864]
steps:  47%|████▋     | 2016/4288 [42:39<48:04,  1.27s/it, avr_loss=0.0865]
steps:  47%|████▋     | 2017/4288 [42:41<48:03,  1.27s/it, avr_loss=0.0865]
steps:  47%|████▋     | 2017/4288 [42:41<48:03,  1.27s/it, avr_loss=0.0863]
steps:  47%|████▋     | 2018/4288 [42:42<48:02,  1.27s/it, avr_loss=0.0863]
steps:  47%|████▋     | 2018/4288 [42:42<48:02,  1.27s/it, avr_loss=0.0862]
steps:  47%|████▋     | 2019/4288 [42:43<48:01,  1.27s/it, avr_loss=0.0862]
steps:  47%|████▋     | 2019/4288 [42:43<48:01,  1.27s/it, avr_loss=0.0864]
steps:  47%|████▋     | 2020/4288 [42:44<47:59,  1.27s/it, avr_loss=0.0864]
steps:  47%|████▋     | 2020/4288 [42:44<47:59,  1.27s/it, avr_loss=0.0864]
steps:  47%|████▋     | 2021/4288 [42:46<47:58,  1.27s/it, avr_loss=0.0864]
steps:  47%|████▋     | 2021/4288 [42:46<47:58,  1.27s/it, avr_loss=0.0864]
steps:  47%|████▋     | 2022/4288 [42:47<47:57,  1.27s/it, avr_loss=0.0864]
steps:  47%|████▋     | 2022/4288 [42:47<47:57,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 2023/4288 [42:48<47:55,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 2023/4288 [42:48<47:55,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 2024/4288 [42:49<47:54,  1.27s/it, avr_loss=0.0866]
steps:  47%|████▋     | 2024/4288 [42:49<47:54,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2025/4288 [42:51<47:53,  1.27s/it, avr_loss=0.0868]
steps:  47%|████▋     | 2025/4288 [42:51<47:53,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 2026/4288 [42:52<47:52,  1.27s/it, avr_loss=0.0867]
steps:  47%|████▋     | 2026/4288 [42:52<47:52,  1.27s/it, avr_loss=0.0869]
steps:  47%|████▋     | 2027/4288 [42:53<47:50,  1.27s/it, avr_loss=0.0869]
steps:  47%|████▋     | 2027/4288 [42:53<47:50,  1.27s/it, avr_loss=0.087] 
steps:  47%|████▋     | 2028/4288 [42:54<47:49,  1.27s/it, avr_loss=0.087]
steps:  47%|████▋     | 2028/4288 [42:54<47:49,  1.27s/it, avr_loss=0.0871]
steps:  47%|████▋     | 2029/4288 [42:56<47:48,  1.27s/it, avr_loss=0.0871]
steps:  47%|████▋     | 2029/4288 [42:56<47:48,  1.27s/it, avr_loss=0.0874]
steps:  47%|████▋     | 2030/4288 [42:57<47:47,  1.27s/it, avr_loss=0.0874]
steps:  47%|████▋     | 2030/4288 [42:57<47:47,  1.27s/it, avr_loss=0.0874]
steps:  47%|████▋     | 2031/4288 [42:58<47:45,  1.27s/it, avr_loss=0.0874]
steps:  47%|████▋     | 2031/4288 [42:58<47:45,  1.27s/it, avr_loss=0.0873]
steps:  47%|████▋     | 2032/4288 [43:00<47:44,  1.27s/it, avr_loss=0.0873]
steps:  47%|████▋     | 2032/4288 [43:00<47:44,  1.27s/it, avr_loss=0.0875]
steps:  47%|████▋     | 2033/4288 [43:01<47:43,  1.27s/it, avr_loss=0.0875]
steps:  47%|████▋     | 2033/4288 [43:01<47:43,  1.27s/it, avr_loss=0.0875]
steps:  47%|████▋     | 2034/4288 [43:03<47:42,  1.27s/it, avr_loss=0.0875]
steps:  47%|████▋     | 2034/4288 [43:03<47:42,  1.27s/it, avr_loss=0.0873]
steps:  47%|████▋     | 2035/4288 [43:04<47:41,  1.27s/it, avr_loss=0.0873]
steps:  47%|████▋     | 2035/4288 [43:04<47:41,  1.27s/it, avr_loss=0.0873]
steps:  47%|████▋     | 2036/4288 [43:05<47:39,  1.27s/it, avr_loss=0.0873]
steps:  47%|████▋     | 2036/4288 [43:05<47:39,  1.27s/it, avr_loss=0.0875]
steps:  48%|████▊     | 2037/4288 [43:06<47:38,  1.27s/it, avr_loss=0.0875]
steps:  48%|████▊     | 2037/4288 [43:06<47:38,  1.27s/it, avr_loss=0.0876]
steps:  48%|████▊     | 2038/4288 [43:08<47:37,  1.27s/it, avr_loss=0.0876]
steps:  48%|████▊     | 2038/4288 [43:08<47:37,  1.27s/it, avr_loss=0.0878]
steps:  48%|████▊     | 2039/4288 [43:09<47:35,  1.27s/it, avr_loss=0.0878]
steps:  48%|████▊     | 2039/4288 [43:09<47:35,  1.27s/it, avr_loss=0.0877]
steps:  48%|████▊     | 2040/4288 [43:10<47:34,  1.27s/it, avr_loss=0.0877]
steps:  48%|████▊     | 2040/4288 [43:10<47:34,  1.27s/it, avr_loss=0.0872]
steps:  48%|████▊     | 2041/4288 [43:11<47:33,  1.27s/it, avr_loss=0.0872]
steps:  48%|████▊     | 2041/4288 [43:11<47:33,  1.27s/it, avr_loss=0.0874]
steps:  48%|████▊     | 2042/4288 [43:13<47:32,  1.27s/it, avr_loss=0.0874]
steps:  48%|████▊     | 2042/4288 [43:13<47:32,  1.27s/it, avr_loss=0.0875]
steps:  48%|████▊     | 2043/4288 [43:14<47:30,  1.27s/it, avr_loss=0.0875]
steps:  48%|████▊     | 2043/4288 [43:14<47:30,  1.27s/it, avr_loss=0.0877]
steps:  48%|████▊     | 2044/4288 [43:15<47:29,  1.27s/it, avr_loss=0.0877]
steps:  48%|████▊     | 2044/4288 [43:15<47:29,  1.27s/it, avr_loss=0.0876]
steps:  48%|████▊     | 2045/4288 [43:17<47:28,  1.27s/it, avr_loss=0.0876]
steps:  48%|████▊     | 2045/4288 [43:17<47:28,  1.27s/it, avr_loss=0.088] 
steps:  48%|████▊     | 2046/4288 [43:18<47:27,  1.27s/it, avr_loss=0.088]
steps:  48%|████▊     | 2046/4288 [43:18<47:27,  1.27s/it, avr_loss=0.0879]
steps:  48%|████▊     | 2047/4288 [43:19<47:25,  1.27s/it, avr_loss=0.0879]
steps:  48%|████▊     | 2047/4288 [43:19<47:25,  1.27s/it, avr_loss=0.0879]
steps:  48%|████▊     | 2048/4288 [43:20<47:24,  1.27s/it, avr_loss=0.0879]
steps:  48%|████▊     | 2048/4288 [43:20<47:24,  1.27s/it, avr_loss=0.088] 
steps:  48%|████▊     | 2049/4288 [43:22<47:23,  1.27s/it, avr_loss=0.088]
steps:  48%|████▊     | 2049/4288 [43:22<47:23,  1.27s/it, avr_loss=0.088]
steps:  48%|████▊     | 2050/4288 [43:23<47:22,  1.27s/it, avr_loss=0.088]
steps:  48%|████▊     | 2050/4288 [43:23<47:22,  1.27s/it, avr_loss=0.0888]
steps:  48%|████▊     | 2051/4288 [43:24<47:21,  1.27s/it, avr_loss=0.0888]
steps:  48%|████▊     | 2051/4288 [43:24<47:21,  1.27s/it, avr_loss=0.0887]
steps:  48%|████▊     | 2052/4288 [43:26<47:19,  1.27s/it, avr_loss=0.0887]
steps:  48%|████▊     | 2052/4288 [43:26<47:19,  1.27s/it, avr_loss=0.0885]
steps:  48%|████▊     | 2053/4288 [43:27<47:18,  1.27s/it, avr_loss=0.0885]
steps:  48%|████▊     | 2053/4288 [43:27<47:18,  1.27s/it, avr_loss=0.0884]
steps:  48%|████▊     | 2054/4288 [43:28<47:17,  1.27s/it, avr_loss=0.0884]
steps:  48%|████▊     | 2054/4288 [43:28<47:17,  1.27s/it, avr_loss=0.0887]
steps:  48%|████▊     | 2055/4288 [43:29<47:15,  1.27s/it, avr_loss=0.0887]
steps:  48%|████▊     | 2055/4288 [43:29<47:15,  1.27s/it, avr_loss=0.0896]
steps:  48%|████▊     | 2056/4288 [43:31<47:14,  1.27s/it, avr_loss=0.0896]
steps:  48%|████▊     | 2056/4288 [43:31<47:14,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2057/4288 [43:32<47:13,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2057/4288 [43:32<47:13,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2058/4288 [43:33<47:12,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2058/4288 [43:33<47:12,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2059/4288 [43:35<47:11,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2059/4288 [43:35<47:11,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2060/4288 [43:36<47:09,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2060/4288 [43:36<47:09,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2061/4288 [43:37<47:08,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2061/4288 [43:37<47:08,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2062/4288 [43:38<47:07,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2062/4288 [43:38<47:07,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2063/4288 [43:40<47:05,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2063/4288 [43:40<47:05,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2064/4288 [43:40<47:04,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2064/4288 [43:40<47:04,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2065/4288 [43:42<47:02,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2065/4288 [43:42<47:02,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2066/4288 [43:43<47:01,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2066/4288 [43:43<47:01,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2067/4288 [43:44<47:00,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2067/4288 [43:44<47:00,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2068/4288 [43:45<46:58,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2068/4288 [43:45<46:58,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2069/4288 [43:47<46:57,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2069/4288 [43:47<46:57,  1.27s/it, avr_loss=0.089] 
steps:  48%|████▊     | 2070/4288 [43:48<46:56,  1.27s/it, avr_loss=0.089]
steps:  48%|████▊     | 2070/4288 [43:48<46:56,  1.27s/it, avr_loss=0.0889]
steps:  48%|████▊     | 2071/4288 [43:49<46:55,  1.27s/it, avr_loss=0.0889]
steps:  48%|████▊     | 2071/4288 [43:49<46:55,  1.27s/it, avr_loss=0.0892]
steps:  48%|████▊     | 2072/4288 [43:51<46:53,  1.27s/it, avr_loss=0.0892]
steps:  48%|████▊     | 2072/4288 [43:51<46:53,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2073/4288 [43:52<46:52,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2073/4288 [43:52<46:52,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2074/4288 [43:53<46:51,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2074/4288 [43:53<46:51,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2075/4288 [43:54<46:50,  1.27s/it, avr_loss=0.0895]
steps:  48%|████▊     | 2075/4288 [43:54<46:50,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2076/4288 [43:56<46:48,  1.27s/it, avr_loss=0.0893]
steps:  48%|████▊     | 2076/4288 [43:56<46:48,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2077/4288 [43:57<46:47,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2077/4288 [43:57<46:47,  1.27s/it, avr_loss=0.0896]
steps:  48%|████▊     | 2078/4288 [43:58<46:46,  1.27s/it, avr_loss=0.0896]
steps:  48%|████▊     | 2078/4288 [43:58<46:46,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2079/4288 [43:59<46:45,  1.27s/it, avr_loss=0.0894]
steps:  48%|████▊     | 2079/4288 [43:59<46:45,  1.27s/it, avr_loss=0.0895]
steps:  49%|████▊     | 2080/4288 [44:01<46:43,  1.27s/it, avr_loss=0.0895]
steps:  49%|████▊     | 2080/4288 [44:01<46:43,  1.27s/it, avr_loss=0.0895]
steps:  49%|████▊     | 2081/4288 [44:02<46:42,  1.27s/it, avr_loss=0.0895]
steps:  49%|████▊     | 2081/4288 [44:02<46:42,  1.27s/it, avr_loss=0.0893]
steps:  49%|████▊     | 2082/4288 [44:03<46:41,  1.27s/it, avr_loss=0.0893]
steps:  49%|████▊     | 2082/4288 [44:03<46:41,  1.27s/it, avr_loss=0.0895]
steps:  49%|████▊     | 2083/4288 [44:04<46:39,  1.27s/it, avr_loss=0.0895]
steps:  49%|████▊     | 2083/4288 [44:04<46:39,  1.27s/it, avr_loss=0.0895]
steps:  49%|████▊     | 2084/4288 [44:06<46:38,  1.27s/it, avr_loss=0.0895]
steps:  49%|████▊     | 2084/4288 [44:06<46:38,  1.27s/it, avr_loss=0.0892]
steps:  49%|████▊     | 2085/4288 [44:07<46:37,  1.27s/it, avr_loss=0.0892]
steps:  49%|████▊     | 2085/4288 [44:07<46:37,  1.27s/it, avr_loss=0.0892]
steps:  49%|████▊     | 2086/4288 [44:08<46:36,  1.27s/it, avr_loss=0.0892]
steps:  49%|████▊     | 2086/4288 [44:08<46:36,  1.27s/it, avr_loss=0.089] 
steps:  49%|████▊     | 2087/4288 [44:10<46:34,  1.27s/it, avr_loss=0.089]
steps:  49%|████▊     | 2087/4288 [44:10<46:34,  1.27s/it, avr_loss=0.0893]
steps:  49%|████▊     | 2088/4288 [44:11<46:33,  1.27s/it, avr_loss=0.0893]
steps:  49%|████▊     | 2088/4288 [44:11<46:33,  1.27s/it, avr_loss=0.089] 
steps:  49%|████▊     | 2089/4288 [44:12<46:32,  1.27s/it, avr_loss=0.089]
steps:  49%|████▊     | 2089/4288 [44:12<46:32,  1.27s/it, avr_loss=0.0887]
steps:  49%|████▊     | 2090/4288 [44:13<46:30,  1.27s/it, avr_loss=0.0887]
steps:  49%|████▊     | 2090/4288 [44:13<46:30,  1.27s/it, avr_loss=0.0885]
steps:  49%|████▉     | 2091/4288 [44:15<46:29,  1.27s/it, avr_loss=0.0885]
steps:  49%|████▉     | 2091/4288 [44:15<46:29,  1.27s/it, avr_loss=0.0885]
steps:  49%|████▉     | 2092/4288 [44:16<46:28,  1.27s/it, avr_loss=0.0885]
steps:  49%|████▉     | 2092/4288 [44:16<46:28,  1.27s/it, avr_loss=0.0883]
steps:  49%|████▉     | 2093/4288 [44:17<46:27,  1.27s/it, avr_loss=0.0883]
steps:  49%|████▉     | 2093/4288 [44:17<46:27,  1.27s/it, avr_loss=0.0881]
steps:  49%|████▉     | 2094/4288 [44:18<46:25,  1.27s/it, avr_loss=0.0881]
steps:  49%|████▉     | 2094/4288 [44:18<46:25,  1.27s/it, avr_loss=0.0881]
steps:  49%|████▉     | 2095/4288 [44:20<46:24,  1.27s/it, avr_loss=0.0881]
steps:  49%|████▉     | 2095/4288 [44:20<46:24,  1.27s/it, avr_loss=0.088] 
steps:  49%|████▉     | 2096/4288 [44:21<46:23,  1.27s/it, avr_loss=0.088]
steps:  49%|████▉     | 2096/4288 [44:21<46:23,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2097/4288 [44:22<46:21,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2097/4288 [44:22<46:21,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2098/4288 [44:23<46:20,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2098/4288 [44:23<46:20,  1.27s/it, avr_loss=0.0878]
steps:  49%|████▉     | 2099/4288 [44:25<46:19,  1.27s/it, avr_loss=0.0878]
steps:  49%|████▉     | 2099/4288 [44:25<46:19,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2100/4288 [44:26<46:18,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2100/4288 [44:26<46:18,  1.27s/it, avr_loss=0.088] 
steps:  49%|████▉     | 2101/4288 [44:27<46:16,  1.27s/it, avr_loss=0.088]
steps:  49%|████▉     | 2101/4288 [44:27<46:16,  1.27s/it, avr_loss=0.0882]
steps:  49%|████▉     | 2102/4288 [44:28<46:15,  1.27s/it, avr_loss=0.0882]
steps:  49%|████▉     | 2102/4288 [44:28<46:15,  1.27s/it, avr_loss=0.0883]
steps:  49%|████▉     | 2103/4288 [44:29<46:14,  1.27s/it, avr_loss=0.0883]
steps:  49%|████▉     | 2103/4288 [44:29<46:14,  1.27s/it, avr_loss=0.0882]
steps:  49%|████▉     | 2104/4288 [44:31<46:12,  1.27s/it, avr_loss=0.0882]
steps:  49%|████▉     | 2104/4288 [44:31<46:12,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2105/4288 [44:32<46:11,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2105/4288 [44:32<46:11,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2106/4288 [44:33<46:10,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2106/4288 [44:33<46:10,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2107/4288 [44:35<46:09,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2107/4288 [44:35<46:09,  1.27s/it, avr_loss=0.0878]
steps:  49%|████▉     | 2108/4288 [44:36<46:07,  1.27s/it, avr_loss=0.0878]
steps:  49%|████▉     | 2108/4288 [44:36<46:07,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2109/4288 [44:37<46:06,  1.27s/it, avr_loss=0.0879]
steps:  49%|████▉     | 2109/4288 [44:37<46:06,  1.27s/it, avr_loss=0.0878]
steps:  49%|████▉     | 2110/4288 [44:38<46:05,  1.27s/it, avr_loss=0.0878]
steps:  49%|████▉     | 2110/4288 [44:38<46:05,  1.27s/it, avr_loss=0.0876]
steps:  49%|████▉     | 2111/4288 [44:40<46:03,  1.27s/it, avr_loss=0.0876]
steps:  49%|████▉     | 2111/4288 [44:40<46:03,  1.27s/it, avr_loss=0.0875]
steps:  49%|████▉     | 2112/4288 [44:41<46:02,  1.27s/it, avr_loss=0.0875]
steps:  49%|████▉     | 2112/4288 [44:41<46:02,  1.27s/it, avr_loss=0.0874]
steps:  49%|████▉     | 2113/4288 [44:42<46:01,  1.27s/it, avr_loss=0.0874]
steps:  49%|████▉     | 2113/4288 [44:42<46:01,  1.27s/it, avr_loss=0.0873]
steps:  49%|████▉     | 2114/4288 [44:43<46:00,  1.27s/it, avr_loss=0.0873]
steps:  49%|████▉     | 2114/4288 [44:43<46:00,  1.27s/it, avr_loss=0.0871]
steps:  49%|████▉     | 2115/4288 [44:45<45:58,  1.27s/it, avr_loss=0.0871]
steps:  49%|████▉     | 2115/4288 [44:45<45:58,  1.27s/it, avr_loss=0.0869]
steps:  49%|████▉     | 2116/4288 [44:46<45:57,  1.27s/it, avr_loss=0.0869]
steps:  49%|████▉     | 2116/4288 [44:46<45:57,  1.27s/it, avr_loss=0.0869]
steps:  49%|████▉     | 2117/4288 [44:47<45:56,  1.27s/it, avr_loss=0.0869]
steps:  49%|████▉     | 2117/4288 [44:47<45:56,  1.27s/it, avr_loss=0.0869]
steps:  49%|████▉     | 2118/4288 [44:48<45:54,  1.27s/it, avr_loss=0.0869]
steps:  49%|████▉     | 2118/4288 [44:48<45:54,  1.27s/it, avr_loss=0.0869]
steps:  49%|████▉     | 2119/4288 [44:50<45:53,  1.27s/it, avr_loss=0.0869]
steps:  49%|████▉     | 2119/4288 [44:50<45:53,  1.27s/it, avr_loss=0.087] 
steps:  49%|████▉     | 2120/4288 [44:51<45:52,  1.27s/it, avr_loss=0.087]
steps:  49%|████▉     | 2120/4288 [44:51<45:52,  1.27s/it, avr_loss=0.087]
steps:  49%|████▉     | 2121/4288 [44:52<45:51,  1.27s/it, avr_loss=0.087]
steps:  49%|████▉     | 2121/4288 [44:52<45:51,  1.27s/it, avr_loss=0.087]
steps:  49%|████▉     | 2122/4288 [44:54<45:50,  1.27s/it, avr_loss=0.087]
steps:  49%|████▉     | 2122/4288 [44:54<45:50,  1.27s/it, avr_loss=0.0872]
steps:  50%|████▉     | 2123/4288 [44:55<45:48,  1.27s/it, avr_loss=0.0872]
steps:  50%|████▉     | 2123/4288 [44:55<45:48,  1.27s/it, avr_loss=0.0874]
steps:  50%|████▉     | 2124/4288 [44:56<45:47,  1.27s/it, avr_loss=0.0874]
steps:  50%|████▉     | 2124/4288 [44:56<45:47,  1.27s/it, avr_loss=0.0874]
steps:  50%|████▉     | 2125/4288 [44:57<45:45,  1.27s/it, avr_loss=0.0874]
steps:  50%|████▉     | 2125/4288 [44:57<45:45,  1.27s/it, avr_loss=0.0879]
steps:  50%|████▉     | 2126/4288 [44:59<45:44,  1.27s/it, avr_loss=0.0879]
steps:  50%|████▉     | 2126/4288 [44:59<45:44,  1.27s/it, avr_loss=0.0879]
steps:  50%|████▉     | 2127/4288 [45:00<45:43,  1.27s/it, avr_loss=0.0879]
steps:  50%|████▉     | 2127/4288 [45:00<45:43,  1.27s/it, avr_loss=0.088] 
steps:  50%|████▉     | 2128/4288 [45:01<45:42,  1.27s/it, avr_loss=0.088]
steps:  50%|████▉     | 2128/4288 [45:01<45:42,  1.27s/it, avr_loss=0.0883]
steps:  50%|████▉     | 2129/4288 [45:02<45:40,  1.27s/it, avr_loss=0.0883]
steps:  50%|████▉     | 2129/4288 [45:02<45:40,  1.27s/it, avr_loss=0.0882]
steps:  50%|████▉     | 2130/4288 [45:04<45:39,  1.27s/it, avr_loss=0.0882]
steps:  50%|████▉     | 2130/4288 [45:04<45:39,  1.27s/it, avr_loss=0.0881]
steps:  50%|████▉     | 2131/4288 [45:05<45:38,  1.27s/it, avr_loss=0.0881]
steps:  50%|████▉     | 2131/4288 [45:05<45:38,  1.27s/it, avr_loss=0.088] 
steps:  50%|████▉     | 2132/4288 [45:06<45:37,  1.27s/it, avr_loss=0.088]
steps:  50%|████▉     | 2132/4288 [45:06<45:37,  1.27s/it, avr_loss=0.0879]
steps:  50%|████▉     | 2133/4288 [45:08<45:35,  1.27s/it, avr_loss=0.0879]
steps:  50%|████▉     | 2133/4288 [45:08<45:35,  1.27s/it, avr_loss=0.0882]
steps:  50%|████▉     | 2134/4288 [45:09<45:34,  1.27s/it, avr_loss=0.0882]
steps:  50%|████▉     | 2134/4288 [45:09<45:34,  1.27s/it, avr_loss=0.088] 
steps:  50%|████▉     | 2135/4288 [45:10<45:33,  1.27s/it, avr_loss=0.088]
steps:  50%|████▉     | 2135/4288 [45:10<45:33,  1.27s/it, avr_loss=0.0878]
steps:  50%|████▉     | 2136/4288 [45:11<45:32,  1.27s/it, avr_loss=0.0878]
steps:  50%|████▉     | 2136/4288 [45:11<45:32,  1.27s/it, avr_loss=0.0878]
steps:  50%|████▉     | 2137/4288 [45:13<45:31,  1.27s/it, avr_loss=0.0878]
steps:  50%|████▉     | 2137/4288 [45:13<45:31,  1.27s/it, avr_loss=0.0879]
steps:  50%|████▉     | 2138/4288 [45:14<45:29,  1.27s/it, avr_loss=0.0879]
steps:  50%|████▉     | 2138/4288 [45:14<45:29,  1.27s/it, avr_loss=0.0875]
steps:  50%|████▉     | 2139/4288 [45:15<45:28,  1.27s/it, avr_loss=0.0875]
steps:  50%|████▉     | 2139/4288 [45:15<45:28,  1.27s/it, avr_loss=0.0873]
steps:  50%|████▉     | 2140/4288 [45:17<45:27,  1.27s/it, avr_loss=0.0873]
steps:  50%|████▉     | 2140/4288 [45:17<45:27,  1.27s/it, avr_loss=0.0874]
steps:  50%|████▉     | 2141/4288 [45:18<45:25,  1.27s/it, avr_loss=0.0874]
steps:  50%|████▉     | 2141/4288 [45:18<45:25,  1.27s/it, avr_loss=0.0874]
steps:  50%|████▉     | 2142/4288 [45:19<45:24,  1.27s/it, avr_loss=0.0874]
steps:  50%|████▉     | 2142/4288 [45:19<45:24,  1.27s/it, avr_loss=0.0867]
steps:  50%|████▉     | 2143/4288 [45:20<45:23,  1.27s/it, avr_loss=0.0867]
steps:  50%|████▉     | 2143/4288 [45:20<45:23,  1.27s/it, avr_loss=0.0866]
steps:  50%|█████     | 2144/4288 [45:22<45:22,  1.27s/it, avr_loss=0.0866]
steps:  50%|█████     | 2144/4288 [45:22<45:22,  1.27s/it, avr_loss=0.0865]2026-07-24 14:21:05 INFO     epoch is incremented. current_epoch: dataset.py:464
                             8, epoch: 9                                        
2026-07-24 14:21:05 INFO     epoch is incremented. current_epoch: dataset.py:464
                             8, epoch: 9                                        

steps:  50%|█████     | 2145/4288 [45:23<45:21,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2145/4288 [45:23<45:21,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2146/4288 [45:25<45:20,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2146/4288 [45:25<45:20,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2147/4288 [45:26<45:18,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2147/4288 [45:26<45:18,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2148/4288 [45:27<45:17,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2148/4288 [45:27<45:17,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2149/4288 [45:28<45:16,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2149/4288 [45:28<45:16,  1.27s/it, avr_loss=0.0867]
steps:  50%|█████     | 2150/4288 [45:30<45:14,  1.27s/it, avr_loss=0.0867]
steps:  50%|█████     | 2150/4288 [45:30<45:14,  1.27s/it, avr_loss=0.0868]
steps:  50%|█████     | 2151/4288 [45:31<45:13,  1.27s/it, avr_loss=0.0868]
steps:  50%|█████     | 2151/4288 [45:31<45:13,  1.27s/it, avr_loss=0.0867]
steps:  50%|█████     | 2152/4288 [45:32<45:12,  1.27s/it, avr_loss=0.0867]
steps:  50%|█████     | 2152/4288 [45:32<45:12,  1.27s/it, avr_loss=0.0864]
steps:  50%|█████     | 2153/4288 [45:33<45:10,  1.27s/it, avr_loss=0.0864]
steps:  50%|█████     | 2153/4288 [45:33<45:10,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2154/4288 [45:35<45:09,  1.27s/it, avr_loss=0.0865]
steps:  50%|█████     | 2154/4288 [45:35<45:09,  1.27s/it, avr_loss=0.0876]
steps:  50%|█████     | 2155/4288 [45:36<45:08,  1.27s/it, avr_loss=0.0876]
steps:  50%|█████     | 2155/4288 [45:36<45:08,  1.27s/it, avr_loss=0.0876]
steps:  50%|█████     | 2156/4288 [45:37<45:07,  1.27s/it, avr_loss=0.0876]
steps:  50%|█████     | 2156/4288 [45:37<45:07,  1.27s/it, avr_loss=0.0879]
steps:  50%|█████     | 2157/4288 [45:38<45:05,  1.27s/it, avr_loss=0.0879]
steps:  50%|█████     | 2157/4288 [45:38<45:05,  1.27s/it, avr_loss=0.0878]
steps:  50%|█████     | 2158/4288 [45:40<45:04,  1.27s/it, avr_loss=0.0878]
steps:  50%|█████     | 2158/4288 [45:40<45:04,  1.27s/it, avr_loss=0.0878]
steps:  50%|█████     | 2159/4288 [45:41<45:03,  1.27s/it, avr_loss=0.0878]
steps:  50%|█████     | 2159/4288 [45:41<45:03,  1.27s/it, avr_loss=0.0879]
steps:  50%|█████     | 2160/4288 [45:42<45:02,  1.27s/it, avr_loss=0.0879]
steps:  50%|█████     | 2160/4288 [45:42<45:02,  1.27s/it, avr_loss=0.0878]
steps:  50%|█████     | 2161/4288 [45:44<45:00,  1.27s/it, avr_loss=0.0878]
steps:  50%|█████     | 2161/4288 [45:44<45:00,  1.27s/it, avr_loss=0.0879]
steps:  50%|█████     | 2162/4288 [45:45<44:59,  1.27s/it, avr_loss=0.0879]
steps:  50%|█████     | 2162/4288 [45:45<44:59,  1.27s/it, avr_loss=0.0877]
steps:  50%|█████     | 2163/4288 [45:46<44:58,  1.27s/it, avr_loss=0.0877]
steps:  50%|█████     | 2163/4288 [45:46<44:58,  1.27s/it, avr_loss=0.0879]
steps:  50%|█████     | 2164/4288 [45:47<44:57,  1.27s/it, avr_loss=0.0879]
steps:  50%|█████     | 2164/4288 [45:47<44:57,  1.27s/it, avr_loss=0.0874]
steps:  50%|█████     | 2165/4288 [45:49<44:55,  1.27s/it, avr_loss=0.0874]
steps:  50%|█████     | 2165/4288 [45:49<44:55,  1.27s/it, avr_loss=0.0875]
steps:  51%|█████     | 2166/4288 [45:50<44:54,  1.27s/it, avr_loss=0.0875]
steps:  51%|█████     | 2166/4288 [45:50<44:54,  1.27s/it, avr_loss=0.0873]
steps:  51%|█████     | 2167/4288 [45:51<44:53,  1.27s/it, avr_loss=0.0873]
steps:  51%|█████     | 2167/4288 [45:51<44:53,  1.27s/it, avr_loss=0.0874]
steps:  51%|█████     | 2168/4288 [45:53<44:52,  1.27s/it, avr_loss=0.0874]
steps:  51%|█████     | 2168/4288 [45:53<44:52,  1.27s/it, avr_loss=0.0876]
steps:  51%|█████     | 2169/4288 [45:54<44:50,  1.27s/it, avr_loss=0.0876]
steps:  51%|█████     | 2169/4288 [45:54<44:50,  1.27s/it, avr_loss=0.0879]
steps:  51%|█████     | 2170/4288 [45:55<44:49,  1.27s/it, avr_loss=0.0879]
steps:  51%|█████     | 2170/4288 [45:55<44:49,  1.27s/it, avr_loss=0.0885]
steps:  51%|█████     | 2171/4288 [45:56<44:48,  1.27s/it, avr_loss=0.0885]
steps:  51%|█████     | 2171/4288 [45:56<44:48,  1.27s/it, avr_loss=0.0885]
steps:  51%|█████     | 2172/4288 [45:58<44:46,  1.27s/it, avr_loss=0.0885]
steps:  51%|█████     | 2172/4288 [45:58<44:46,  1.27s/it, avr_loss=0.0883]
steps:  51%|█████     | 2173/4288 [45:59<44:45,  1.27s/it, avr_loss=0.0883]
steps:  51%|█████     | 2173/4288 [45:59<44:45,  1.27s/it, avr_loss=0.0881]
steps:  51%|█████     | 2174/4288 [46:00<44:44,  1.27s/it, avr_loss=0.0881]
steps:  51%|█████     | 2174/4288 [46:00<44:44,  1.27s/it, avr_loss=0.0882]
steps:  51%|█████     | 2175/4288 [46:02<44:43,  1.27s/it, avr_loss=0.0882]
steps:  51%|█████     | 2175/4288 [46:02<44:43,  1.27s/it, avr_loss=0.0883]
steps:  51%|█████     | 2176/4288 [46:03<44:42,  1.27s/it, avr_loss=0.0883]
steps:  51%|█████     | 2176/4288 [46:03<44:42,  1.27s/it, avr_loss=0.0882]
steps:  51%|█████     | 2177/4288 [46:04<44:40,  1.27s/it, avr_loss=0.0882]
steps:  51%|█████     | 2177/4288 [46:04<44:40,  1.27s/it, avr_loss=0.0879]
steps:  51%|█████     | 2178/4288 [46:05<44:39,  1.27s/it, avr_loss=0.0879]
steps:  51%|█████     | 2178/4288 [46:05<44:39,  1.27s/it, avr_loss=0.0871]
steps:  51%|█████     | 2179/4288 [46:07<44:38,  1.27s/it, avr_loss=0.0871]
steps:  51%|█████     | 2179/4288 [46:07<44:38,  1.27s/it, avr_loss=0.0878]
steps:  51%|█████     | 2180/4288 [46:08<44:37,  1.27s/it, avr_loss=0.0878]
steps:  51%|█████     | 2180/4288 [46:08<44:37,  1.27s/it, avr_loss=0.0879]
steps:  51%|█████     | 2181/4288 [46:09<44:35,  1.27s/it, avr_loss=0.0879]
steps:  51%|█████     | 2181/4288 [46:09<44:35,  1.27s/it, avr_loss=0.0881]
steps:  51%|█████     | 2182/4288 [46:11<44:34,  1.27s/it, avr_loss=0.0881]
steps:  51%|█████     | 2182/4288 [46:11<44:34,  1.27s/it, avr_loss=0.088] 
steps:  51%|█████     | 2183/4288 [46:12<44:33,  1.27s/it, avr_loss=0.088]
steps:  51%|█████     | 2183/4288 [46:12<44:33,  1.27s/it, avr_loss=0.088]
steps:  51%|█████     | 2184/4288 [46:13<44:31,  1.27s/it, avr_loss=0.088]
steps:  51%|█████     | 2184/4288 [46:13<44:31,  1.27s/it, avr_loss=0.088]
steps:  51%|█████     | 2185/4288 [46:14<44:30,  1.27s/it, avr_loss=0.088]
steps:  51%|█████     | 2185/4288 [46:14<44:30,  1.27s/it, avr_loss=0.0878]
steps:  51%|█████     | 2186/4288 [46:16<44:29,  1.27s/it, avr_loss=0.0878]
steps:  51%|█████     | 2186/4288 [46:16<44:29,  1.27s/it, avr_loss=0.0876]
steps:  51%|█████     | 2187/4288 [46:17<44:28,  1.27s/it, avr_loss=0.0876]
steps:  51%|█████     | 2187/4288 [46:17<44:28,  1.27s/it, avr_loss=0.0876]
steps:  51%|█████     | 2188/4288 [46:18<44:27,  1.27s/it, avr_loss=0.0876]
steps:  51%|█████     | 2188/4288 [46:18<44:27,  1.27s/it, avr_loss=0.088] 
steps:  51%|█████     | 2189/4288 [46:20<44:25,  1.27s/it, avr_loss=0.088]
steps:  51%|█████     | 2189/4288 [46:20<44:25,  1.27s/it, avr_loss=0.0881]
steps:  51%|█████     | 2190/4288 [46:21<44:24,  1.27s/it, avr_loss=0.0881]
steps:  51%|█████     | 2190/4288 [46:21<44:24,  1.27s/it, avr_loss=0.0883]
steps:  51%|█████     | 2191/4288 [46:22<44:23,  1.27s/it, avr_loss=0.0883]
steps:  51%|█████     | 2191/4288 [46:22<44:23,  1.27s/it, avr_loss=0.0882]
steps:  51%|█████     | 2192/4288 [46:23<44:21,  1.27s/it, avr_loss=0.0882]
steps:  51%|█████     | 2192/4288 [46:23<44:21,  1.27s/it, avr_loss=0.0882]
steps:  51%|█████     | 2193/4288 [46:25<44:20,  1.27s/it, avr_loss=0.0882]
steps:  51%|█████     | 2193/4288 [46:25<44:20,  1.27s/it, avr_loss=0.088] 
steps:  51%|█████     | 2194/4288 [46:26<44:19,  1.27s/it, avr_loss=0.088]
steps:  51%|█████     | 2194/4288 [46:26<44:19,  1.27s/it, avr_loss=0.0879]
steps:  51%|█████     | 2195/4288 [46:27<44:18,  1.27s/it, avr_loss=0.0879]
steps:  51%|█████     | 2195/4288 [46:27<44:18,  1.27s/it, avr_loss=0.0878]
steps:  51%|█████     | 2196/4288 [46:28<44:16,  1.27s/it, avr_loss=0.0878]
steps:  51%|█████     | 2196/4288 [46:28<44:16,  1.27s/it, avr_loss=0.0878]
steps:  51%|█████     | 2197/4288 [46:30<44:15,  1.27s/it, avr_loss=0.0878]
steps:  51%|█████     | 2197/4288 [46:30<44:15,  1.27s/it, avr_loss=0.0878]
steps:  51%|█████▏    | 2198/4288 [46:31<44:14,  1.27s/it, avr_loss=0.0878]
steps:  51%|█████▏    | 2198/4288 [46:31<44:14,  1.27s/it, avr_loss=0.0875]
steps:  51%|█████▏    | 2199/4288 [46:32<44:12,  1.27s/it, avr_loss=0.0875]
steps:  51%|█████▏    | 2199/4288 [46:32<44:12,  1.27s/it, avr_loss=0.0874]
steps:  51%|█████▏    | 2200/4288 [46:33<44:11,  1.27s/it, avr_loss=0.0874]
steps:  51%|█████▏    | 2200/4288 [46:33<44:11,  1.27s/it, avr_loss=0.0875]
steps:  51%|█████▏    | 2201/4288 [46:35<44:10,  1.27s/it, avr_loss=0.0875]
steps:  51%|█████▏    | 2201/4288 [46:35<44:10,  1.27s/it, avr_loss=0.0874]
steps:  51%|█████▏    | 2202/4288 [46:36<44:09,  1.27s/it, avr_loss=0.0874]
steps:  51%|█████▏    | 2202/4288 [46:36<44:09,  1.27s/it, avr_loss=0.0873]
steps:  51%|█████▏    | 2203/4288 [46:37<44:07,  1.27s/it, avr_loss=0.0873]
steps:  51%|█████▏    | 2203/4288 [46:37<44:07,  1.27s/it, avr_loss=0.0873]
steps:  51%|█████▏    | 2204/4288 [46:39<44:06,  1.27s/it, avr_loss=0.0873]
steps:  51%|█████▏    | 2204/4288 [46:39<44:06,  1.27s/it, avr_loss=0.0874]
steps:  51%|█████▏    | 2205/4288 [46:40<44:05,  1.27s/it, avr_loss=0.0874]
steps:  51%|█████▏    | 2205/4288 [46:40<44:05,  1.27s/it, avr_loss=0.0874]
steps:  51%|█████▏    | 2206/4288 [46:41<44:04,  1.27s/it, avr_loss=0.0874]
steps:  51%|█████▏    | 2206/4288 [46:41<44:04,  1.27s/it, avr_loss=0.0871]
steps:  51%|█████▏    | 2207/4288 [46:42<44:02,  1.27s/it, avr_loss=0.0871]
steps:  51%|█████▏    | 2207/4288 [46:42<44:02,  1.27s/it, avr_loss=0.0873]
steps:  51%|█████▏    | 2208/4288 [46:43<44:01,  1.27s/it, avr_loss=0.0873]
steps:  51%|█████▏    | 2208/4288 [46:43<44:01,  1.27s/it, avr_loss=0.0874]
steps:  52%|█████▏    | 2209/4288 [46:45<44:00,  1.27s/it, avr_loss=0.0874]
steps:  52%|█████▏    | 2209/4288 [46:45<44:00,  1.27s/it, avr_loss=0.0873]
steps:  52%|█████▏    | 2210/4288 [46:46<43:58,  1.27s/it, avr_loss=0.0873]
steps:  52%|█████▏    | 2210/4288 [46:46<43:58,  1.27s/it, avr_loss=0.0872]
steps:  52%|█████▏    | 2211/4288 [46:47<43:57,  1.27s/it, avr_loss=0.0872]
steps:  52%|█████▏    | 2211/4288 [46:47<43:57,  1.27s/it, avr_loss=0.0871]
steps:  52%|█████▏    | 2212/4288 [46:48<43:56,  1.27s/it, avr_loss=0.0871]
steps:  52%|█████▏    | 2212/4288 [46:48<43:56,  1.27s/it, avr_loss=0.0869]
steps:  52%|█████▏    | 2213/4288 [46:50<43:55,  1.27s/it, avr_loss=0.0869]
steps:  52%|█████▏    | 2213/4288 [46:50<43:55,  1.27s/it, avr_loss=0.087] 
steps:  52%|█████▏    | 2214/4288 [46:51<43:53,  1.27s/it, avr_loss=0.087]
steps:  52%|█████▏    | 2214/4288 [46:51<43:53,  1.27s/it, avr_loss=0.0868]
steps:  52%|█████▏    | 2215/4288 [46:52<43:52,  1.27s/it, avr_loss=0.0868]
steps:  52%|█████▏    | 2215/4288 [46:52<43:52,  1.27s/it, avr_loss=0.0871]
steps:  52%|█████▏    | 2216/4288 [46:54<43:51,  1.27s/it, avr_loss=0.0871]
steps:  52%|█████▏    | 2216/4288 [46:54<43:51,  1.27s/it, avr_loss=0.0867]
steps:  52%|█████▏    | 2217/4288 [46:55<43:50,  1.27s/it, avr_loss=0.0867]
steps:  52%|█████▏    | 2217/4288 [46:55<43:50,  1.27s/it, avr_loss=0.0859]
steps:  52%|█████▏    | 2218/4288 [46:56<43:48,  1.27s/it, avr_loss=0.0859]
steps:  52%|█████▏    | 2218/4288 [46:56<43:48,  1.27s/it, avr_loss=0.0858]
steps:  52%|█████▏    | 2219/4288 [46:58<43:47,  1.27s/it, avr_loss=0.0858]
steps:  52%|█████▏    | 2219/4288 [46:58<43:47,  1.27s/it, avr_loss=0.0858]
steps:  52%|█████▏    | 2220/4288 [46:59<43:46,  1.27s/it, avr_loss=0.0858]
steps:  52%|█████▏    | 2220/4288 [46:59<43:46,  1.27s/it, avr_loss=0.086] 
steps:  52%|█████▏    | 2221/4288 [47:00<43:45,  1.27s/it, avr_loss=0.086]
steps:  52%|█████▏    | 2221/4288 [47:00<43:45,  1.27s/it, avr_loss=0.0862]
steps:  52%|█████▏    | 2222/4288 [47:01<43:43,  1.27s/it, avr_loss=0.0862]
steps:  52%|█████▏    | 2222/4288 [47:01<43:43,  1.27s/it, avr_loss=0.0862]
steps:  52%|█████▏    | 2223/4288 [47:03<43:42,  1.27s/it, avr_loss=0.0862]
steps:  52%|█████▏    | 2223/4288 [47:03<43:42,  1.27s/it, avr_loss=0.0859]
steps:  52%|█████▏    | 2224/4288 [47:04<43:41,  1.27s/it, avr_loss=0.0859]
steps:  52%|█████▏    | 2224/4288 [47:04<43:41,  1.27s/it, avr_loss=0.0858]
steps:  52%|█████▏    | 2225/4288 [47:05<43:39,  1.27s/it, avr_loss=0.0858]
steps:  52%|█████▏    | 2225/4288 [47:05<43:39,  1.27s/it, avr_loss=0.0854]
steps:  52%|█████▏    | 2226/4288 [47:06<43:38,  1.27s/it, avr_loss=0.0854]
steps:  52%|█████▏    | 2226/4288 [47:06<43:38,  1.27s/it, avr_loss=0.0858]
steps:  52%|█████▏    | 2227/4288 [47:08<43:37,  1.27s/it, avr_loss=0.0858]
steps:  52%|█████▏    | 2227/4288 [47:08<43:37,  1.27s/it, avr_loss=0.0855]
steps:  52%|█████▏    | 2228/4288 [47:09<43:36,  1.27s/it, avr_loss=0.0855]
steps:  52%|█████▏    | 2228/4288 [47:09<43:36,  1.27s/it, avr_loss=0.0854]
steps:  52%|█████▏    | 2229/4288 [47:11<43:35,  1.27s/it, avr_loss=0.0854]
steps:  52%|█████▏    | 2229/4288 [47:11<43:35,  1.27s/it, avr_loss=0.0858]
steps:  52%|█████▏    | 2230/4288 [47:12<43:33,  1.27s/it, avr_loss=0.0858]
steps:  52%|█████▏    | 2230/4288 [47:12<43:33,  1.27s/it, avr_loss=0.0856]
steps:  52%|█████▏    | 2231/4288 [47:13<43:32,  1.27s/it, avr_loss=0.0856]
steps:  52%|█████▏    | 2231/4288 [47:13<43:32,  1.27s/it, avr_loss=0.0857]
steps:  52%|█████▏    | 2232/4288 [47:14<43:31,  1.27s/it, avr_loss=0.0857]
steps:  52%|█████▏    | 2232/4288 [47:14<43:31,  1.27s/it, avr_loss=0.0856]
steps:  52%|█████▏    | 2233/4288 [47:15<43:29,  1.27s/it, avr_loss=0.0856]
steps:  52%|█████▏    | 2233/4288 [47:15<43:29,  1.27s/it, avr_loss=0.0855]
steps:  52%|█████▏    | 2234/4288 [47:17<43:28,  1.27s/it, avr_loss=0.0855]
steps:  52%|█████▏    | 2234/4288 [47:17<43:28,  1.27s/it, avr_loss=0.0855]
steps:  52%|█████▏    | 2235/4288 [47:18<43:27,  1.27s/it, avr_loss=0.0855]
steps:  52%|█████▏    | 2235/4288 [47:18<43:27,  1.27s/it, avr_loss=0.0856]
steps:  52%|█████▏    | 2236/4288 [47:19<43:26,  1.27s/it, avr_loss=0.0856]
steps:  52%|█████▏    | 2236/4288 [47:19<43:26,  1.27s/it, avr_loss=0.0857]
steps:  52%|█████▏    | 2237/4288 [47:21<43:24,  1.27s/it, avr_loss=0.0857]
steps:  52%|█████▏    | 2237/4288 [47:21<43:24,  1.27s/it, avr_loss=0.0857]
steps:  52%|█████▏    | 2238/4288 [47:22<43:23,  1.27s/it, avr_loss=0.0857]
steps:  52%|█████▏    | 2238/4288 [47:22<43:23,  1.27s/it, avr_loss=0.086] 
steps:  52%|█████▏    | 2239/4288 [47:23<43:22,  1.27s/it, avr_loss=0.086]
steps:  52%|█████▏    | 2239/4288 [47:23<43:22,  1.27s/it, avr_loss=0.085]
steps:  52%|█████▏    | 2240/4288 [47:24<43:21,  1.27s/it, avr_loss=0.085]
steps:  52%|█████▏    | 2240/4288 [47:24<43:21,  1.27s/it, avr_loss=0.0847]
steps:  52%|█████▏    | 2241/4288 [47:26<43:19,  1.27s/it, avr_loss=0.0847]
steps:  52%|█████▏    | 2241/4288 [47:26<43:19,  1.27s/it, avr_loss=0.0846]
steps:  52%|█████▏    | 2242/4288 [47:27<43:18,  1.27s/it, avr_loss=0.0846]
steps:  52%|█████▏    | 2242/4288 [47:27<43:18,  1.27s/it, avr_loss=0.0845]
steps:  52%|█████▏    | 2243/4288 [47:28<43:17,  1.27s/it, avr_loss=0.0845]
steps:  52%|█████▏    | 2243/4288 [47:28<43:17,  1.27s/it, avr_loss=0.0849]
steps:  52%|█████▏    | 2244/4288 [47:30<43:16,  1.27s/it, avr_loss=0.0849]
steps:  52%|█████▏    | 2244/4288 [47:30<43:16,  1.27s/it, avr_loss=0.0847]
steps:  52%|█████▏    | 2245/4288 [47:31<43:14,  1.27s/it, avr_loss=0.0847]
steps:  52%|█████▏    | 2245/4288 [47:31<43:14,  1.27s/it, avr_loss=0.0849]
steps:  52%|█████▏    | 2246/4288 [47:32<43:13,  1.27s/it, avr_loss=0.0849]
steps:  52%|█████▏    | 2246/4288 [47:32<43:13,  1.27s/it, avr_loss=0.0849]
steps:  52%|█████▏    | 2247/4288 [47:33<43:12,  1.27s/it, avr_loss=0.0849]
steps:  52%|█████▏    | 2247/4288 [47:33<43:12,  1.27s/it, avr_loss=0.0849]
steps:  52%|█████▏    | 2248/4288 [47:35<43:11,  1.27s/it, avr_loss=0.0849]
steps:  52%|█████▏    | 2248/4288 [47:35<43:11,  1.27s/it, avr_loss=0.0847]
steps:  52%|█████▏    | 2249/4288 [47:36<43:09,  1.27s/it, avr_loss=0.0847]
steps:  52%|█████▏    | 2249/4288 [47:36<43:09,  1.27s/it, avr_loss=0.0847]
steps:  52%|█████▏    | 2250/4288 [47:37<43:08,  1.27s/it, avr_loss=0.0847]
steps:  52%|█████▏    | 2250/4288 [47:37<43:08,  1.27s/it, avr_loss=0.0845]
steps:  52%|█████▏    | 2251/4288 [47:39<43:07,  1.27s/it, avr_loss=0.0845]
steps:  52%|█████▏    | 2251/4288 [47:39<43:07,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2252/4288 [47:40<43:05,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2252/4288 [47:40<43:05,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2253/4288 [47:41<43:04,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2253/4288 [47:41<43:04,  1.27s/it, avr_loss=0.0847]
steps:  53%|█████▎    | 2254/4288 [47:42<43:03,  1.27s/it, avr_loss=0.0847]
steps:  53%|█████▎    | 2254/4288 [47:42<43:03,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2255/4288 [47:44<43:02,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2255/4288 [47:44<43:02,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2256/4288 [47:45<43:00,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2256/4288 [47:45<43:00,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2257/4288 [47:46<42:59,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2257/4288 [47:46<42:59,  1.27s/it, avr_loss=0.0849]
steps:  53%|█████▎    | 2258/4288 [47:48<42:58,  1.27s/it, avr_loss=0.0849]
steps:  53%|█████▎    | 2258/4288 [47:48<42:58,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2259/4288 [47:49<42:57,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2259/4288 [47:49<42:57,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2260/4288 [47:50<42:55,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2260/4288 [47:50<42:55,  1.27s/it, avr_loss=0.0849]
steps:  53%|█████▎    | 2261/4288 [47:51<42:54,  1.27s/it, avr_loss=0.0849]
steps:  53%|█████▎    | 2261/4288 [47:51<42:54,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2262/4288 [47:53<42:53,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2262/4288 [47:53<42:53,  1.27s/it, avr_loss=0.0839]
steps:  53%|█████▎    | 2263/4288 [47:54<42:52,  1.27s/it, avr_loss=0.0839]
steps:  53%|█████▎    | 2263/4288 [47:54<42:52,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2264/4288 [47:55<42:50,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2264/4288 [47:55<42:50,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2265/4288 [47:57<42:49,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2265/4288 [47:57<42:49,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2266/4288 [47:58<42:48,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2266/4288 [47:58<42:48,  1.27s/it, avr_loss=0.0847]
steps:  53%|█████▎    | 2267/4288 [47:59<42:47,  1.27s/it, avr_loss=0.0847]
steps:  53%|█████▎    | 2267/4288 [47:59<42:47,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2268/4288 [48:00<42:45,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2268/4288 [48:00<42:45,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2269/4288 [48:01<42:44,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2269/4288 [48:01<42:44,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2270/4288 [48:03<42:43,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2270/4288 [48:03<42:43,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2271/4288 [48:04<42:41,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2271/4288 [48:04<42:41,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2272/4288 [48:05<42:40,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2272/4288 [48:05<42:40,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2273/4288 [48:06<42:39,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2273/4288 [48:06<42:39,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2274/4288 [48:08<42:37,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2274/4288 [48:08<42:38,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2275/4288 [48:09<42:36,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2275/4288 [48:09<42:36,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2276/4288 [48:10<42:35,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2276/4288 [48:10<42:35,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2277/4288 [48:11<42:34,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2277/4288 [48:11<42:34,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2278/4288 [48:13<42:32,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2278/4288 [48:13<42:32,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2279/4288 [48:14<42:31,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2279/4288 [48:14<42:31,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2280/4288 [48:15<42:30,  1.27s/it, avr_loss=0.0844]
steps:  53%|█████▎    | 2280/4288 [48:15<42:30,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2281/4288 [48:17<42:29,  1.27s/it, avr_loss=0.0845]
steps:  53%|█████▎    | 2281/4288 [48:17<42:29,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2282/4288 [48:18<42:27,  1.27s/it, avr_loss=0.0846]
steps:  53%|█████▎    | 2282/4288 [48:18<42:27,  1.27s/it, avr_loss=0.0847]
steps:  53%|█████▎    | 2283/4288 [48:19<42:26,  1.27s/it, avr_loss=0.0847]
steps:  53%|█████▎    | 2283/4288 [48:19<42:26,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2284/4288 [48:20<42:25,  1.27s/it, avr_loss=0.0848]
steps:  53%|█████▎    | 2284/4288 [48:20<42:25,  1.27s/it, avr_loss=0.0855]
steps:  53%|█████▎    | 2285/4288 [48:22<42:23,  1.27s/it, avr_loss=0.0855]
steps:  53%|█████▎    | 2285/4288 [48:22<42:23,  1.27s/it, avr_loss=0.0858]
steps:  53%|█████▎    | 2286/4288 [48:23<42:22,  1.27s/it, avr_loss=0.0858]
steps:  53%|█████▎    | 2286/4288 [48:23<42:22,  1.27s/it, avr_loss=0.0858]
steps:  53%|█████▎    | 2287/4288 [48:24<42:21,  1.27s/it, avr_loss=0.0858]
steps:  53%|█████▎    | 2287/4288 [48:24<42:21,  1.27s/it, avr_loss=0.0856]
steps:  53%|█████▎    | 2288/4288 [48:25<42:20,  1.27s/it, avr_loss=0.0856]
steps:  53%|█████▎    | 2288/4288 [48:25<42:20,  1.27s/it, avr_loss=0.0857]
steps:  53%|█████▎    | 2289/4288 [48:27<42:18,  1.27s/it, avr_loss=0.0857]
steps:  53%|█████▎    | 2289/4288 [48:27<42:18,  1.27s/it, avr_loss=0.0857]
steps:  53%|█████▎    | 2290/4288 [48:28<42:17,  1.27s/it, avr_loss=0.0857]
steps:  53%|█████▎    | 2290/4288 [48:28<42:17,  1.27s/it, avr_loss=0.0853]
steps:  53%|█████▎    | 2291/4288 [48:29<42:16,  1.27s/it, avr_loss=0.0853]
steps:  53%|█████▎    | 2291/4288 [48:29<42:16,  1.27s/it, avr_loss=0.0853]
steps:  53%|█████▎    | 2292/4288 [48:30<42:14,  1.27s/it, avr_loss=0.0853]
steps:  53%|█████▎    | 2292/4288 [48:30<42:14,  1.27s/it, avr_loss=0.0853]
steps:  53%|█████▎    | 2293/4288 [48:32<42:13,  1.27s/it, avr_loss=0.0853]
steps:  53%|█████▎    | 2293/4288 [48:32<42:13,  1.27s/it, avr_loss=0.0853]
steps:  53%|█████▎    | 2294/4288 [48:33<42:12,  1.27s/it, avr_loss=0.0853]
steps:  53%|█████▎    | 2294/4288 [48:33<42:12,  1.27s/it, avr_loss=0.0852]
steps:  54%|█████▎    | 2295/4288 [48:34<42:11,  1.27s/it, avr_loss=0.0852]
steps:  54%|█████▎    | 2295/4288 [48:34<42:11,  1.27s/it, avr_loss=0.0852]
steps:  54%|█████▎    | 2296/4288 [48:35<42:09,  1.27s/it, avr_loss=0.0852]
steps:  54%|█████▎    | 2296/4288 [48:35<42:09,  1.27s/it, avr_loss=0.085] 
steps:  54%|█████▎    | 2297/4288 [48:37<42:08,  1.27s/it, avr_loss=0.085]
steps:  54%|█████▎    | 2297/4288 [48:37<42:08,  1.27s/it, avr_loss=0.0848]
steps:  54%|█████▎    | 2298/4288 [48:38<42:07,  1.27s/it, avr_loss=0.0848]
steps:  54%|█████▎    | 2298/4288 [48:38<42:07,  1.27s/it, avr_loss=0.0849]
steps:  54%|█████▎    | 2299/4288 [48:39<42:06,  1.27s/it, avr_loss=0.0849]
steps:  54%|█████▎    | 2299/4288 [48:39<42:06,  1.27s/it, avr_loss=0.085] 
steps:  54%|█████▎    | 2300/4288 [48:41<42:04,  1.27s/it, avr_loss=0.085]
steps:  54%|█████▎    | 2300/4288 [48:41<42:04,  1.27s/it, avr_loss=0.0849]
steps:  54%|█████▎    | 2301/4288 [48:42<42:03,  1.27s/it, avr_loss=0.0849]
steps:  54%|█████▎    | 2301/4288 [48:42<42:03,  1.27s/it, avr_loss=0.085] 
steps:  54%|█████▎    | 2302/4288 [48:43<42:02,  1.27s/it, avr_loss=0.085]
steps:  54%|█████▎    | 2302/4288 [48:43<42:02,  1.27s/it, avr_loss=0.0851]
steps:  54%|█████▎    | 2303/4288 [48:45<42:01,  1.27s/it, avr_loss=0.0851]
steps:  54%|█████▎    | 2303/4288 [48:45<42:01,  1.27s/it, avr_loss=0.0851]
steps:  54%|█████▎    | 2304/4288 [48:46<41:59,  1.27s/it, avr_loss=0.0851]
steps:  54%|█████▎    | 2304/4288 [48:46<41:59,  1.27s/it, avr_loss=0.085] 
steps:  54%|█████▍    | 2305/4288 [48:47<41:58,  1.27s/it, avr_loss=0.085]
steps:  54%|█████▍    | 2305/4288 [48:47<41:58,  1.27s/it, avr_loss=0.0849]
steps:  54%|█████▍    | 2306/4288 [48:48<41:57,  1.27s/it, avr_loss=0.0849]
steps:  54%|█████▍    | 2306/4288 [48:48<41:57,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2307/4288 [48:49<41:55,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2307/4288 [48:49<41:55,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2308/4288 [48:51<41:54,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2308/4288 [48:51<41:54,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2309/4288 [48:52<41:53,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2309/4288 [48:52<41:53,  1.27s/it, avr_loss=0.0846]
steps:  54%|█████▍    | 2310/4288 [48:53<41:52,  1.27s/it, avr_loss=0.0846]
steps:  54%|█████▍    | 2310/4288 [48:53<41:52,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2311/4288 [48:54<41:50,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2311/4288 [48:54<41:50,  1.27s/it, avr_loss=0.0845]
steps:  54%|█████▍    | 2312/4288 [48:56<41:49,  1.27s/it, avr_loss=0.0845]
steps:  54%|█████▍    | 2312/4288 [48:56<41:49,  1.27s/it, avr_loss=0.0846]
steps:  54%|█████▍    | 2313/4288 [48:57<41:48,  1.27s/it, avr_loss=0.0846]
steps:  54%|█████▍    | 2313/4288 [48:57<41:48,  1.27s/it, avr_loss=0.0842]
steps:  54%|█████▍    | 2314/4288 [48:58<41:47,  1.27s/it, avr_loss=0.0842]
steps:  54%|█████▍    | 2314/4288 [48:58<41:47,  1.27s/it, avr_loss=0.0857]
steps:  54%|█████▍    | 2315/4288 [49:00<41:45,  1.27s/it, avr_loss=0.0857]
steps:  54%|█████▍    | 2315/4288 [49:00<41:45,  1.27s/it, avr_loss=0.0852]
steps:  54%|█████▍    | 2316/4288 [49:01<41:44,  1.27s/it, avr_loss=0.0852]
steps:  54%|█████▍    | 2316/4288 [49:01<41:44,  1.27s/it, avr_loss=0.0854]
steps:  54%|█████▍    | 2317/4288 [49:02<41:43,  1.27s/it, avr_loss=0.0854]
steps:  54%|█████▍    | 2317/4288 [49:02<41:43,  1.27s/it, avr_loss=0.0854]
steps:  54%|█████▍    | 2318/4288 [49:04<41:42,  1.27s/it, avr_loss=0.0854]
steps:  54%|█████▍    | 2318/4288 [49:04<41:42,  1.27s/it, avr_loss=0.0845]
steps:  54%|█████▍    | 2319/4288 [49:05<41:40,  1.27s/it, avr_loss=0.0845]
steps:  54%|█████▍    | 2319/4288 [49:05<41:40,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2320/4288 [49:06<41:39,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2320/4288 [49:06<41:39,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2321/4288 [49:07<41:38,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2321/4288 [49:07<41:38,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2322/4288 [49:09<41:36,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2322/4288 [49:09<41:36,  1.27s/it, avr_loss=0.0844]
steps:  54%|█████▍    | 2323/4288 [49:10<41:35,  1.27s/it, avr_loss=0.0844]
steps:  54%|█████▍    | 2323/4288 [49:10<41:35,  1.27s/it, avr_loss=0.0837]
steps:  54%|█████▍    | 2324/4288 [49:11<41:34,  1.27s/it, avr_loss=0.0837]
steps:  54%|█████▍    | 2324/4288 [49:11<41:34,  1.27s/it, avr_loss=0.0838]
steps:  54%|█████▍    | 2325/4288 [49:12<41:33,  1.27s/it, avr_loss=0.0838]
steps:  54%|█████▍    | 2325/4288 [49:12<41:33,  1.27s/it, avr_loss=0.084] 
steps:  54%|█████▍    | 2326/4288 [49:14<41:31,  1.27s/it, avr_loss=0.084]
steps:  54%|█████▍    | 2326/4288 [49:14<41:31,  1.27s/it, avr_loss=0.0844]
steps:  54%|█████▍    | 2327/4288 [49:15<41:30,  1.27s/it, avr_loss=0.0844]
steps:  54%|█████▍    | 2327/4288 [49:15<41:30,  1.27s/it, avr_loss=0.0844]
steps:  54%|█████▍    | 2328/4288 [49:16<41:29,  1.27s/it, avr_loss=0.0844]
steps:  54%|█████▍    | 2328/4288 [49:16<41:29,  1.27s/it, avr_loss=0.0844]
steps:  54%|█████▍    | 2329/4288 [49:17<41:27,  1.27s/it, avr_loss=0.0844]
steps:  54%|█████▍    | 2329/4288 [49:17<41:27,  1.27s/it, avr_loss=0.0843]
steps:  54%|█████▍    | 2330/4288 [49:18<41:26,  1.27s/it, avr_loss=0.0843]
steps:  54%|█████▍    | 2330/4288 [49:18<41:26,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2331/4288 [49:20<41:25,  1.27s/it, avr_loss=0.0847]
steps:  54%|█████▍    | 2331/4288 [49:20<41:25,  1.27s/it, avr_loss=0.0846]
steps:  54%|█████▍    | 2332/4288 [49:21<41:23,  1.27s/it, avr_loss=0.0846]
steps:  54%|█████▍    | 2332/4288 [49:21<41:23,  1.27s/it, avr_loss=0.0848]
steps:  54%|█████▍    | 2333/4288 [49:22<41:22,  1.27s/it, avr_loss=0.0848]
steps:  54%|█████▍    | 2333/4288 [49:22<41:22,  1.27s/it, avr_loss=0.0849]
steps:  54%|█████▍    | 2334/4288 [49:23<41:21,  1.27s/it, avr_loss=0.0849]
steps:  54%|█████▍    | 2334/4288 [49:23<41:21,  1.27s/it, avr_loss=0.0852]
steps:  54%|█████▍    | 2335/4288 [49:25<41:19,  1.27s/it, avr_loss=0.0852]
steps:  54%|█████▍    | 2335/4288 [49:25<41:19,  1.27s/it, avr_loss=0.0851]
steps:  54%|█████▍    | 2336/4288 [49:26<41:18,  1.27s/it, avr_loss=0.0851]
steps:  54%|█████▍    | 2336/4288 [49:26<41:18,  1.27s/it, avr_loss=0.0855]
steps:  55%|█████▍    | 2337/4288 [49:27<41:17,  1.27s/it, avr_loss=0.0855]
steps:  55%|█████▍    | 2337/4288 [49:27<41:17,  1.27s/it, avr_loss=0.0854]
steps:  55%|█████▍    | 2338/4288 [49:28<41:16,  1.27s/it, avr_loss=0.0854]
steps:  55%|█████▍    | 2338/4288 [49:28<41:16,  1.27s/it, avr_loss=0.0856]
steps:  55%|█████▍    | 2339/4288 [49:30<41:14,  1.27s/it, avr_loss=0.0856]
steps:  55%|█████▍    | 2339/4288 [49:30<41:14,  1.27s/it, avr_loss=0.0855]
steps:  55%|█████▍    | 2340/4288 [49:31<41:13,  1.27s/it, avr_loss=0.0855]
steps:  55%|█████▍    | 2340/4288 [49:31<41:13,  1.27s/it, avr_loss=0.0853]
steps:  55%|█████▍    | 2341/4288 [49:32<41:12,  1.27s/it, avr_loss=0.0853]
steps:  55%|█████▍    | 2341/4288 [49:32<41:12,  1.27s/it, avr_loss=0.0852]
steps:  55%|█████▍    | 2342/4288 [49:33<41:11,  1.27s/it, avr_loss=0.0852]
steps:  55%|█████▍    | 2342/4288 [49:33<41:11,  1.27s/it, avr_loss=0.0851]
steps:  55%|█████▍    | 2343/4288 [49:35<41:09,  1.27s/it, avr_loss=0.0851]
steps:  55%|█████▍    | 2343/4288 [49:35<41:09,  1.27s/it, avr_loss=0.0851]
steps:  55%|█████▍    | 2344/4288 [49:36<41:08,  1.27s/it, avr_loss=0.0851]
steps:  55%|█████▍    | 2344/4288 [49:36<41:08,  1.27s/it, avr_loss=0.0851]
steps:  55%|█████▍    | 2345/4288 [49:37<41:07,  1.27s/it, avr_loss=0.0851]
steps:  55%|█████▍    | 2345/4288 [49:37<41:07,  1.27s/it, avr_loss=0.0849]
steps:  55%|█████▍    | 2346/4288 [49:38<41:05,  1.27s/it, avr_loss=0.0849]
steps:  55%|█████▍    | 2346/4288 [49:38<41:05,  1.27s/it, avr_loss=0.0851]
steps:  55%|█████▍    | 2347/4288 [49:40<41:04,  1.27s/it, avr_loss=0.0851]
steps:  55%|█████▍    | 2347/4288 [49:40<41:04,  1.27s/it, avr_loss=0.0851]
steps:  55%|█████▍    | 2348/4288 [49:41<41:03,  1.27s/it, avr_loss=0.0851]
steps:  55%|█████▍    | 2348/4288 [49:41<41:03,  1.27s/it, avr_loss=0.0858]
steps:  55%|█████▍    | 2349/4288 [49:43<41:02,  1.27s/it, avr_loss=0.0858]
steps:  55%|█████▍    | 2349/4288 [49:43<41:02,  1.27s/it, avr_loss=0.0859]
steps:  55%|█████▍    | 2350/4288 [49:44<41:01,  1.27s/it, avr_loss=0.0859]
steps:  55%|█████▍    | 2350/4288 [49:44<41:01,  1.27s/it, avr_loss=0.086] 
steps:  55%|█████▍    | 2351/4288 [49:45<40:59,  1.27s/it, avr_loss=0.086]
steps:  55%|█████▍    | 2351/4288 [49:45<40:59,  1.27s/it, avr_loss=0.0861]
steps:  55%|█████▍    | 2352/4288 [49:47<40:58,  1.27s/it, avr_loss=0.0861]
steps:  55%|█████▍    | 2352/4288 [49:47<40:58,  1.27s/it, avr_loss=0.0864]
steps:  55%|█████▍    | 2353/4288 [49:48<40:57,  1.27s/it, avr_loss=0.0864]
steps:  55%|█████▍    | 2353/4288 [49:48<40:57,  1.27s/it, avr_loss=0.0866]
steps:  55%|█████▍    | 2354/4288 [49:49<40:56,  1.27s/it, avr_loss=0.0866]
steps:  55%|█████▍    | 2354/4288 [49:49<40:56,  1.27s/it, avr_loss=0.0867]
steps:  55%|█████▍    | 2355/4288 [49:50<40:54,  1.27s/it, avr_loss=0.0867]
steps:  55%|█████▍    | 2355/4288 [49:50<40:54,  1.27s/it, avr_loss=0.0865]
steps:  55%|█████▍    | 2356/4288 [49:52<40:53,  1.27s/it, avr_loss=0.0865]
steps:  55%|█████▍    | 2356/4288 [49:52<40:53,  1.27s/it, avr_loss=0.0867]
steps:  55%|█████▍    | 2357/4288 [49:53<40:52,  1.27s/it, avr_loss=0.0867]
steps:  55%|█████▍    | 2357/4288 [49:53<40:52,  1.27s/it, avr_loss=0.0869]
steps:  55%|█████▍    | 2358/4288 [49:54<40:51,  1.27s/it, avr_loss=0.0869]
steps:  55%|█████▍    | 2358/4288 [49:54<40:51,  1.27s/it, avr_loss=0.0869]
steps:  55%|█████▌    | 2359/4288 [49:55<40:49,  1.27s/it, avr_loss=0.0869]
steps:  55%|█████▌    | 2359/4288 [49:55<40:49,  1.27s/it, avr_loss=0.0866]
steps:  55%|█████▌    | 2360/4288 [49:57<40:48,  1.27s/it, avr_loss=0.0866]
steps:  55%|█████▌    | 2360/4288 [49:57<40:48,  1.27s/it, avr_loss=0.0867]
steps:  55%|█████▌    | 2361/4288 [49:58<40:47,  1.27s/it, avr_loss=0.0867]
steps:  55%|█████▌    | 2361/4288 [49:58<40:47,  1.27s/it, avr_loss=0.0867]
steps:  55%|█████▌    | 2362/4288 [49:59<40:46,  1.27s/it, avr_loss=0.0867]
steps:  55%|█████▌    | 2362/4288 [49:59<40:46,  1.27s/it, avr_loss=0.0868]
steps:  55%|█████▌    | 2363/4288 [50:01<40:44,  1.27s/it, avr_loss=0.0868]
steps:  55%|█████▌    | 2363/4288 [50:01<40:44,  1.27s/it, avr_loss=0.0867]
steps:  55%|█████▌    | 2364/4288 [50:02<40:43,  1.27s/it, avr_loss=0.0867]
steps:  55%|█████▌    | 2364/4288 [50:02<40:43,  1.27s/it, avr_loss=0.0869]
steps:  55%|█████▌    | 2365/4288 [50:03<40:42,  1.27s/it, avr_loss=0.0869]
steps:  55%|█████▌    | 2365/4288 [50:03<40:42,  1.27s/it, avr_loss=0.0871]
steps:  55%|█████▌    | 2366/4288 [50:04<40:41,  1.27s/it, avr_loss=0.0871]
steps:  55%|█████▌    | 2366/4288 [50:04<40:41,  1.27s/it, avr_loss=0.0872]
steps:  55%|█████▌    | 2367/4288 [50:06<40:39,  1.27s/it, avr_loss=0.0872]
steps:  55%|█████▌    | 2367/4288 [50:06<40:39,  1.27s/it, avr_loss=0.0871]
steps:  55%|█████▌    | 2368/4288 [50:07<40:38,  1.27s/it, avr_loss=0.0871]
steps:  55%|█████▌    | 2368/4288 [50:07<40:38,  1.27s/it, avr_loss=0.087] 
steps:  55%|█████▌    | 2369/4288 [50:08<40:37,  1.27s/it, avr_loss=0.087]
steps:  55%|█████▌    | 2369/4288 [50:08<40:37,  1.27s/it, avr_loss=0.0876]
steps:  55%|█████▌    | 2370/4288 [50:09<40:35,  1.27s/it, avr_loss=0.0876]
steps:  55%|█████▌    | 2370/4288 [50:09<40:35,  1.27s/it, avr_loss=0.0873]
steps:  55%|█████▌    | 2371/4288 [50:11<40:34,  1.27s/it, avr_loss=0.0873]
steps:  55%|█████▌    | 2371/4288 [50:11<40:34,  1.27s/it, avr_loss=0.0873]
steps:  55%|█████▌    | 2372/4288 [50:12<40:33,  1.27s/it, avr_loss=0.0873]
steps:  55%|█████▌    | 2372/4288 [50:12<40:33,  1.27s/it, avr_loss=0.0873]
steps:  55%|█████▌    | 2373/4288 [50:13<40:32,  1.27s/it, avr_loss=0.0873]
steps:  55%|█████▌    | 2373/4288 [50:13<40:32,  1.27s/it, avr_loss=0.0872]
steps:  55%|█████▌    | 2374/4288 [50:14<40:30,  1.27s/it, avr_loss=0.0872]
steps:  55%|█████▌    | 2374/4288 [50:14<40:30,  1.27s/it, avr_loss=0.0871]
steps:  55%|█████▌    | 2375/4288 [50:16<40:29,  1.27s/it, avr_loss=0.0871]
steps:  55%|█████▌    | 2375/4288 [50:16<40:29,  1.27s/it, avr_loss=0.0869]
steps:  55%|█████▌    | 2376/4288 [50:17<40:28,  1.27s/it, avr_loss=0.0869]
steps:  55%|█████▌    | 2376/4288 [50:17<40:28,  1.27s/it, avr_loss=0.087] 
steps:  55%|█████▌    | 2377/4288 [50:18<40:26,  1.27s/it, avr_loss=0.087]
steps:  55%|█████▌    | 2377/4288 [50:18<40:26,  1.27s/it, avr_loss=0.0871]
steps:  55%|█████▌    | 2378/4288 [50:19<40:25,  1.27s/it, avr_loss=0.0871]
steps:  55%|█████▌    | 2378/4288 [50:19<40:25,  1.27s/it, avr_loss=0.0871]
steps:  55%|█████▌    | 2379/4288 [50:21<40:24,  1.27s/it, avr_loss=0.0871]
steps:  55%|█████▌    | 2379/4288 [50:21<40:24,  1.27s/it, avr_loss=0.0872]
steps:  56%|█████▌    | 2380/4288 [50:22<40:23,  1.27s/it, avr_loss=0.0872]
steps:  56%|█████▌    | 2380/4288 [50:22<40:23,  1.27s/it, avr_loss=0.0872]
steps:  56%|█████▌    | 2381/4288 [50:23<40:21,  1.27s/it, avr_loss=0.0872]
steps:  56%|█████▌    | 2381/4288 [50:23<40:21,  1.27s/it, avr_loss=0.0871]
steps:  56%|█████▌    | 2382/4288 [50:25<40:20,  1.27s/it, avr_loss=0.0871]
steps:  56%|█████▌    | 2382/4288 [50:25<40:20,  1.27s/it, avr_loss=0.0871]
steps:  56%|█████▌    | 2383/4288 [50:26<40:19,  1.27s/it, avr_loss=0.0871]
steps:  56%|█████▌    | 2383/4288 [50:26<40:19,  1.27s/it, avr_loss=0.0872]
steps:  56%|█████▌    | 2384/4288 [50:27<40:18,  1.27s/it, avr_loss=0.0872]
steps:  56%|█████▌    | 2384/4288 [50:27<40:18,  1.27s/it, avr_loss=0.0871]
steps:  56%|█████▌    | 2385/4288 [50:29<40:16,  1.27s/it, avr_loss=0.0871]
steps:  56%|█████▌    | 2385/4288 [50:29<40:16,  1.27s/it, avr_loss=0.0872]
steps:  56%|█████▌    | 2386/4288 [50:30<40:15,  1.27s/it, avr_loss=0.0872]
steps:  56%|█████▌    | 2386/4288 [50:30<40:15,  1.27s/it, avr_loss=0.0876]
steps:  56%|█████▌    | 2387/4288 [50:31<40:14,  1.27s/it, avr_loss=0.0876]
steps:  56%|█████▌    | 2387/4288 [50:31<40:14,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2388/4288 [50:32<40:13,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2388/4288 [50:32<40:13,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2389/4288 [50:34<40:11,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2389/4288 [50:34<40:11,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2390/4288 [50:35<40:10,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2390/4288 [50:35<40:10,  1.27s/it, avr_loss=0.088] 
steps:  56%|█████▌    | 2391/4288 [50:36<40:09,  1.27s/it, avr_loss=0.088]
steps:  56%|█████▌    | 2391/4288 [50:36<40:09,  1.27s/it, avr_loss=0.0878]
steps:  56%|█████▌    | 2392/4288 [50:37<40:07,  1.27s/it, avr_loss=0.0878]
steps:  56%|█████▌    | 2392/4288 [50:37<40:07,  1.27s/it, avr_loss=0.0878]
steps:  56%|█████▌    | 2393/4288 [50:39<40:06,  1.27s/it, avr_loss=0.0878]
steps:  56%|█████▌    | 2393/4288 [50:39<40:06,  1.27s/it, avr_loss=0.0876]
steps:  56%|█████▌    | 2394/4288 [50:40<40:05,  1.27s/it, avr_loss=0.0876]
steps:  56%|█████▌    | 2394/4288 [50:40<40:05,  1.27s/it, avr_loss=0.0876]
steps:  56%|█████▌    | 2395/4288 [50:41<40:04,  1.27s/it, avr_loss=0.0876]
steps:  56%|█████▌    | 2395/4288 [50:41<40:04,  1.27s/it, avr_loss=0.0877]
steps:  56%|█████▌    | 2396/4288 [50:43<40:02,  1.27s/it, avr_loss=0.0877]
steps:  56%|█████▌    | 2396/4288 [50:43<40:02,  1.27s/it, avr_loss=0.0876]
steps:  56%|█████▌    | 2397/4288 [50:44<40:01,  1.27s/it, avr_loss=0.0876]
steps:  56%|█████▌    | 2397/4288 [50:44<40:01,  1.27s/it, avr_loss=0.0878]
steps:  56%|█████▌    | 2398/4288 [50:45<40:00,  1.27s/it, avr_loss=0.0878]
steps:  56%|█████▌    | 2398/4288 [50:45<40:00,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2399/4288 [50:46<39:59,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2399/4288 [50:46<39:59,  1.27s/it, avr_loss=0.088] 
steps:  56%|█████▌    | 2400/4288 [50:47<39:57,  1.27s/it, avr_loss=0.088]
steps:  56%|█████▌    | 2400/4288 [50:47<39:57,  1.27s/it, avr_loss=0.0881]
steps:  56%|█████▌    | 2401/4288 [50:49<39:56,  1.27s/it, avr_loss=0.0881]
steps:  56%|█████▌    | 2401/4288 [50:49<39:56,  1.27s/it, avr_loss=0.0878]
steps:  56%|█████▌    | 2402/4288 [50:50<39:55,  1.27s/it, avr_loss=0.0878]
steps:  56%|█████▌    | 2402/4288 [50:50<39:55,  1.27s/it, avr_loss=0.088] 
steps:  56%|█████▌    | 2403/4288 [50:51<39:53,  1.27s/it, avr_loss=0.088]
steps:  56%|█████▌    | 2403/4288 [50:51<39:53,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2404/4288 [50:52<39:52,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2404/4288 [50:52<39:52,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2405/4288 [50:54<39:51,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2405/4288 [50:54<39:51,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2406/4288 [50:55<39:49,  1.27s/it, avr_loss=0.0879]
steps:  56%|█████▌    | 2406/4288 [50:55<39:49,  1.27s/it, avr_loss=0.0881]
steps:  56%|█████▌    | 2407/4288 [50:56<39:48,  1.27s/it, avr_loss=0.0881]
steps:  56%|█████▌    | 2407/4288 [50:56<39:48,  1.27s/it, avr_loss=0.0882]
steps:  56%|█████▌    | 2408/4288 [50:57<39:47,  1.27s/it, avr_loss=0.0882]
steps:  56%|█████▌    | 2408/4288 [50:57<39:47,  1.27s/it, avr_loss=0.0882]
steps:  56%|█████▌    | 2409/4288 [50:58<39:45,  1.27s/it, avr_loss=0.0882]
steps:  56%|█████▌    | 2409/4288 [50:58<39:45,  1.27s/it, avr_loss=0.0881]
steps:  56%|█████▌    | 2410/4288 [51:00<39:44,  1.27s/it, avr_loss=0.0881]
steps:  56%|█████▌    | 2410/4288 [51:00<39:44,  1.27s/it, avr_loss=0.0882]
steps:  56%|█████▌    | 2411/4288 [51:01<39:43,  1.27s/it, avr_loss=0.0882]
steps:  56%|█████▌    | 2411/4288 [51:01<39:43,  1.27s/it, avr_loss=0.0884]
steps:  56%|█████▋    | 2412/4288 [51:02<39:41,  1.27s/it, avr_loss=0.0884]
steps:  56%|█████▋    | 2412/4288 [51:02<39:42,  1.27s/it, avr_loss=0.0883]2026-07-24 14:26:45 INFO     epoch is incremented. current_epoch: dataset.py:464
                             9, epoch: 10                                       
2026-07-24 14:26:45 INFO     epoch is incremented. current_epoch: dataset.py:464
                             9, epoch: 10                                       

steps:  56%|█████▋    | 2413/4288 [51:03<39:40,  1.27s/it, avr_loss=0.0883]
steps:  56%|█████▋    | 2413/4288 [51:03<39:40,  1.27s/it, avr_loss=0.0883]
steps:  56%|█████▋    | 2414/4288 [51:05<39:39,  1.27s/it, avr_loss=0.0883]
steps:  56%|█████▋    | 2414/4288 [51:05<39:39,  1.27s/it, avr_loss=0.0884]
steps:  56%|█████▋    | 2415/4288 [51:06<39:38,  1.27s/it, avr_loss=0.0884]
steps:  56%|█████▋    | 2415/4288 [51:06<39:38,  1.27s/it, avr_loss=0.0886]
steps:  56%|█████▋    | 2416/4288 [51:08<39:37,  1.27s/it, avr_loss=0.0886]
steps:  56%|█████▋    | 2416/4288 [51:08<39:37,  1.27s/it, avr_loss=0.0885]
steps:  56%|█████▋    | 2417/4288 [51:09<39:36,  1.27s/it, avr_loss=0.0885]
steps:  56%|█████▋    | 2417/4288 [51:09<39:36,  1.27s/it, avr_loss=0.0884]
steps:  56%|█████▋    | 2418/4288 [51:10<39:34,  1.27s/it, avr_loss=0.0884]
steps:  56%|█████▋    | 2418/4288 [51:10<39:34,  1.27s/it, avr_loss=0.0882]
steps:  56%|█████▋    | 2419/4288 [51:11<39:33,  1.27s/it, avr_loss=0.0882]
steps:  56%|█████▋    | 2419/4288 [51:11<39:33,  1.27s/it, avr_loss=0.0882]
steps:  56%|█████▋    | 2420/4288 [51:13<39:32,  1.27s/it, avr_loss=0.0882]
steps:  56%|█████▋    | 2420/4288 [51:13<39:32,  1.27s/it, avr_loss=0.0887]
steps:  56%|█████▋    | 2421/4288 [51:14<39:30,  1.27s/it, avr_loss=0.0887]
steps:  56%|█████▋    | 2421/4288 [51:14<39:30,  1.27s/it, avr_loss=0.0886]
steps:  56%|█████▋    | 2422/4288 [51:15<39:29,  1.27s/it, avr_loss=0.0886]
steps:  56%|█████▋    | 2422/4288 [51:15<39:29,  1.27s/it, avr_loss=0.0876]
steps:  57%|█████▋    | 2423/4288 [51:16<39:28,  1.27s/it, avr_loss=0.0876]
steps:  57%|█████▋    | 2423/4288 [51:16<39:28,  1.27s/it, avr_loss=0.0877]
steps:  57%|█████▋    | 2424/4288 [51:18<39:27,  1.27s/it, avr_loss=0.0877]
steps:  57%|█████▋    | 2424/4288 [51:18<39:27,  1.27s/it, avr_loss=0.0876]
steps:  57%|█████▋    | 2425/4288 [51:19<39:25,  1.27s/it, avr_loss=0.0876]
steps:  57%|█████▋    | 2425/4288 [51:19<39:25,  1.27s/it, avr_loss=0.0878]
steps:  57%|█████▋    | 2426/4288 [51:20<39:24,  1.27s/it, avr_loss=0.0878]
steps:  57%|█████▋    | 2426/4288 [51:20<39:24,  1.27s/it, avr_loss=0.088] 
steps:  57%|█████▋    | 2427/4288 [51:21<39:23,  1.27s/it, avr_loss=0.088]
steps:  57%|█████▋    | 2427/4288 [51:21<39:23,  1.27s/it, avr_loss=0.088]
steps:  57%|█████▋    | 2428/4288 [51:23<39:21,  1.27s/it, avr_loss=0.088]
steps:  57%|█████▋    | 2428/4288 [51:23<39:21,  1.27s/it, avr_loss=0.0881]
steps:  57%|█████▋    | 2429/4288 [51:24<39:20,  1.27s/it, avr_loss=0.0881]
steps:  57%|█████▋    | 2429/4288 [51:24<39:20,  1.27s/it, avr_loss=0.088] 
steps:  57%|█████▋    | 2430/4288 [51:25<39:19,  1.27s/it, avr_loss=0.088]
steps:  57%|█████▋    | 2430/4288 [51:25<39:19,  1.27s/it, avr_loss=0.088]
steps:  57%|█████▋    | 2431/4288 [51:26<39:17,  1.27s/it, avr_loss=0.088]
steps:  57%|█████▋    | 2431/4288 [51:26<39:17,  1.27s/it, avr_loss=0.0877]
steps:  57%|█████▋    | 2432/4288 [51:28<39:16,  1.27s/it, avr_loss=0.0877]
steps:  57%|█████▋    | 2432/4288 [51:28<39:16,  1.27s/it, avr_loss=0.088] 
steps:  57%|█████▋    | 2433/4288 [51:29<39:15,  1.27s/it, avr_loss=0.088]
steps:  57%|█████▋    | 2433/4288 [51:29<39:15,  1.27s/it, avr_loss=0.0879]
steps:  57%|█████▋    | 2434/4288 [51:30<39:14,  1.27s/it, avr_loss=0.0879]
steps:  57%|█████▋    | 2434/4288 [51:30<39:14,  1.27s/it, avr_loss=0.0878]
steps:  57%|█████▋    | 2435/4288 [51:31<39:12,  1.27s/it, avr_loss=0.0878]
steps:  57%|█████▋    | 2435/4288 [51:31<39:12,  1.27s/it, avr_loss=0.0883]
steps:  57%|█████▋    | 2436/4288 [51:32<39:11,  1.27s/it, avr_loss=0.0883]
steps:  57%|█████▋    | 2436/4288 [51:32<39:11,  1.27s/it, avr_loss=0.0882]
steps:  57%|█████▋    | 2437/4288 [51:34<39:10,  1.27s/it, avr_loss=0.0882]
steps:  57%|█████▋    | 2437/4288 [51:34<39:10,  1.27s/it, avr_loss=0.0879]
steps:  57%|█████▋    | 2438/4288 [51:35<39:08,  1.27s/it, avr_loss=0.0879]
steps:  57%|█████▋    | 2438/4288 [51:35<39:08,  1.27s/it, avr_loss=0.0872]
steps:  57%|█████▋    | 2439/4288 [51:36<39:07,  1.27s/it, avr_loss=0.0872]
steps:  57%|█████▋    | 2439/4288 [51:36<39:07,  1.27s/it, avr_loss=0.0875]
steps:  57%|█████▋    | 2440/4288 [51:38<39:06,  1.27s/it, avr_loss=0.0875]
steps:  57%|█████▋    | 2440/4288 [51:38<39:06,  1.27s/it, avr_loss=0.0875]
steps:  57%|█████▋    | 2441/4288 [51:39<39:05,  1.27s/it, avr_loss=0.0875]
steps:  57%|█████▋    | 2441/4288 [51:39<39:05,  1.27s/it, avr_loss=0.0877]
steps:  57%|█████▋    | 2442/4288 [51:40<39:03,  1.27s/it, avr_loss=0.0877]
steps:  57%|█████▋    | 2442/4288 [51:40<39:03,  1.27s/it, avr_loss=0.0877]
steps:  57%|█████▋    | 2443/4288 [51:41<39:02,  1.27s/it, avr_loss=0.0877]
steps:  57%|█████▋    | 2443/4288 [51:41<39:02,  1.27s/it, avr_loss=0.0874]
steps:  57%|█████▋    | 2444/4288 [51:43<39:01,  1.27s/it, avr_loss=0.0874]
steps:  57%|█████▋    | 2444/4288 [51:43<39:01,  1.27s/it, avr_loss=0.0875]
steps:  57%|█████▋    | 2445/4288 [51:44<38:59,  1.27s/it, avr_loss=0.0875]
steps:  57%|█████▋    | 2445/4288 [51:44<38:59,  1.27s/it, avr_loss=0.0877]
steps:  57%|█████▋    | 2446/4288 [51:45<38:58,  1.27s/it, avr_loss=0.0877]
steps:  57%|█████▋    | 2446/4288 [51:45<38:58,  1.27s/it, avr_loss=0.0876]
steps:  57%|█████▋    | 2447/4288 [51:46<38:57,  1.27s/it, avr_loss=0.0876]
steps:  57%|█████▋    | 2447/4288 [51:46<38:57,  1.27s/it, avr_loss=0.0869]
steps:  57%|█████▋    | 2448/4288 [51:47<38:56,  1.27s/it, avr_loss=0.0869]
steps:  57%|█████▋    | 2448/4288 [51:47<38:56,  1.27s/it, avr_loss=0.087] 
steps:  57%|█████▋    | 2449/4288 [51:49<38:54,  1.27s/it, avr_loss=0.087]
steps:  57%|█████▋    | 2449/4288 [51:49<38:54,  1.27s/it, avr_loss=0.087]
steps:  57%|█████▋    | 2450/4288 [51:50<38:53,  1.27s/it, avr_loss=0.087]
steps:  57%|█████▋    | 2450/4288 [51:50<38:53,  1.27s/it, avr_loss=0.087]
steps:  57%|█████▋    | 2451/4288 [51:51<38:52,  1.27s/it, avr_loss=0.087]
steps:  57%|█████▋    | 2451/4288 [51:51<38:52,  1.27s/it, avr_loss=0.087]
steps:  57%|█████▋    | 2452/4288 [51:53<38:51,  1.27s/it, avr_loss=0.087]
steps:  57%|█████▋    | 2452/4288 [51:53<38:51,  1.27s/it, avr_loss=0.0868]
steps:  57%|█████▋    | 2453/4288 [51:54<38:49,  1.27s/it, avr_loss=0.0868]
steps:  57%|█████▋    | 2453/4288 [51:54<38:49,  1.27s/it, avr_loss=0.0867]
steps:  57%|█████▋    | 2454/4288 [51:55<38:48,  1.27s/it, avr_loss=0.0867]
steps:  57%|█████▋    | 2454/4288 [51:55<38:48,  1.27s/it, avr_loss=0.0868]
steps:  57%|█████▋    | 2455/4288 [51:57<38:47,  1.27s/it, avr_loss=0.0868]
steps:  57%|█████▋    | 2455/4288 [51:57<38:47,  1.27s/it, avr_loss=0.0868]
steps:  57%|█████▋    | 2456/4288 [51:58<38:45,  1.27s/it, avr_loss=0.0868]
steps:  57%|█████▋    | 2456/4288 [51:58<38:45,  1.27s/it, avr_loss=0.0863]
steps:  57%|█████▋    | 2457/4288 [51:59<38:44,  1.27s/it, avr_loss=0.0863]
steps:  57%|█████▋    | 2457/4288 [51:59<38:44,  1.27s/it, avr_loss=0.0864]
steps:  57%|█████▋    | 2458/4288 [52:00<38:43,  1.27s/it, avr_loss=0.0864]
steps:  57%|█████▋    | 2458/4288 [52:00<38:43,  1.27s/it, avr_loss=0.0862]
steps:  57%|█████▋    | 2459/4288 [52:01<38:42,  1.27s/it, avr_loss=0.0862]
steps:  57%|█████▋    | 2459/4288 [52:01<38:42,  1.27s/it, avr_loss=0.0869]
steps:  57%|█████▋    | 2460/4288 [52:03<38:40,  1.27s/it, avr_loss=0.0869]
steps:  57%|█████▋    | 2460/4288 [52:03<38:40,  1.27s/it, avr_loss=0.0871]
steps:  57%|█████▋    | 2461/4288 [52:04<38:39,  1.27s/it, avr_loss=0.0871]
steps:  57%|█████▋    | 2461/4288 [52:04<38:39,  1.27s/it, avr_loss=0.0871]
steps:  57%|█████▋    | 2462/4288 [52:05<38:38,  1.27s/it, avr_loss=0.0871]
steps:  57%|█████▋    | 2462/4288 [52:05<38:38,  1.27s/it, avr_loss=0.0871]
steps:  57%|█████▋    | 2463/4288 [52:06<38:36,  1.27s/it, avr_loss=0.0871]
steps:  57%|█████▋    | 2463/4288 [52:06<38:36,  1.27s/it, avr_loss=0.0871]
steps:  57%|█████▋    | 2464/4288 [52:08<38:35,  1.27s/it, avr_loss=0.0871]
steps:  57%|█████▋    | 2464/4288 [52:08<38:35,  1.27s/it, avr_loss=0.0874]
steps:  57%|█████▋    | 2465/4288 [52:09<38:34,  1.27s/it, avr_loss=0.0874]
steps:  57%|█████▋    | 2465/4288 [52:09<38:34,  1.27s/it, avr_loss=0.0872]
steps:  58%|█████▊    | 2466/4288 [52:10<38:33,  1.27s/it, avr_loss=0.0872]
steps:  58%|█████▊    | 2466/4288 [52:10<38:33,  1.27s/it, avr_loss=0.0873]
steps:  58%|█████▊    | 2467/4288 [52:12<38:31,  1.27s/it, avr_loss=0.0873]
steps:  58%|█████▊    | 2467/4288 [52:12<38:31,  1.27s/it, avr_loss=0.088] 
steps:  58%|█████▊    | 2468/4288 [52:13<38:30,  1.27s/it, avr_loss=0.088]
steps:  58%|█████▊    | 2468/4288 [52:13<38:30,  1.27s/it, avr_loss=0.0878]
steps:  58%|█████▊    | 2469/4288 [52:14<38:29,  1.27s/it, avr_loss=0.0878]
steps:  58%|█████▊    | 2469/4288 [52:14<38:29,  1.27s/it, avr_loss=0.0879]
steps:  58%|█████▊    | 2470/4288 [52:15<38:28,  1.27s/it, avr_loss=0.0879]
steps:  58%|█████▊    | 2470/4288 [52:15<38:28,  1.27s/it, avr_loss=0.0877]
steps:  58%|█████▊    | 2471/4288 [52:17<38:26,  1.27s/it, avr_loss=0.0877]
steps:  58%|█████▊    | 2471/4288 [52:17<38:26,  1.27s/it, avr_loss=0.0883]
steps:  58%|█████▊    | 2472/4288 [52:18<38:25,  1.27s/it, avr_loss=0.0883]
steps:  58%|█████▊    | 2472/4288 [52:18<38:25,  1.27s/it, avr_loss=0.0883]
steps:  58%|█████▊    | 2473/4288 [52:19<38:24,  1.27s/it, avr_loss=0.0883]
steps:  58%|█████▊    | 2473/4288 [52:19<38:24,  1.27s/it, avr_loss=0.0884]
steps:  58%|█████▊    | 2474/4288 [52:20<38:23,  1.27s/it, avr_loss=0.0884]
steps:  58%|█████▊    | 2474/4288 [52:20<38:23,  1.27s/it, avr_loss=0.0887]
steps:  58%|█████▊    | 2475/4288 [52:22<38:21,  1.27s/it, avr_loss=0.0887]
steps:  58%|█████▊    | 2475/4288 [52:22<38:21,  1.27s/it, avr_loss=0.0886]
steps:  58%|█████▊    | 2476/4288 [52:23<38:20,  1.27s/it, avr_loss=0.0886]
steps:  58%|█████▊    | 2476/4288 [52:23<38:20,  1.27s/it, avr_loss=0.0885]
steps:  58%|█████▊    | 2477/4288 [52:24<38:19,  1.27s/it, avr_loss=0.0885]
steps:  58%|█████▊    | 2477/4288 [52:24<38:19,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2478/4288 [52:26<38:17,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2478/4288 [52:26<38:17,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2479/4288 [52:27<38:16,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2479/4288 [52:27<38:16,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2480/4288 [52:28<38:15,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2480/4288 [52:28<38:15,  1.27s/it, avr_loss=0.0891]
steps:  58%|█████▊    | 2481/4288 [52:30<38:14,  1.27s/it, avr_loss=0.0891]
steps:  58%|█████▊    | 2481/4288 [52:30<38:14,  1.27s/it, avr_loss=0.0895]
steps:  58%|█████▊    | 2482/4288 [52:31<38:13,  1.27s/it, avr_loss=0.0895]
steps:  58%|█████▊    | 2482/4288 [52:31<38:13,  1.27s/it, avr_loss=0.0894]
steps:  58%|█████▊    | 2483/4288 [52:32<38:11,  1.27s/it, avr_loss=0.0894]
steps:  58%|█████▊    | 2483/4288 [52:32<38:11,  1.27s/it, avr_loss=0.0891]
steps:  58%|█████▊    | 2484/4288 [52:33<38:10,  1.27s/it, avr_loss=0.0891]
steps:  58%|█████▊    | 2484/4288 [52:33<38:10,  1.27s/it, avr_loss=0.0891]
steps:  58%|█████▊    | 2485/4288 [52:35<38:09,  1.27s/it, avr_loss=0.0891]
steps:  58%|█████▊    | 2485/4288 [52:35<38:09,  1.27s/it, avr_loss=0.089] 
steps:  58%|█████▊    | 2486/4288 [52:36<38:08,  1.27s/it, avr_loss=0.089]
steps:  58%|█████▊    | 2486/4288 [52:36<38:08,  1.27s/it, avr_loss=0.089]
steps:  58%|█████▊    | 2487/4288 [52:37<38:06,  1.27s/it, avr_loss=0.089]
steps:  58%|█████▊    | 2487/4288 [52:37<38:06,  1.27s/it, avr_loss=0.0893]
steps:  58%|█████▊    | 2488/4288 [52:38<38:05,  1.27s/it, avr_loss=0.0893]
steps:  58%|█████▊    | 2488/4288 [52:38<38:05,  1.27s/it, avr_loss=0.0894]
steps:  58%|█████▊    | 2489/4288 [52:40<38:04,  1.27s/it, avr_loss=0.0894]
steps:  58%|█████▊    | 2489/4288 [52:40<38:04,  1.27s/it, avr_loss=0.0893]
steps:  58%|█████▊    | 2490/4288 [52:41<38:02,  1.27s/it, avr_loss=0.0893]
steps:  58%|█████▊    | 2490/4288 [52:41<38:02,  1.27s/it, avr_loss=0.0894]
steps:  58%|█████▊    | 2491/4288 [52:42<38:01,  1.27s/it, avr_loss=0.0894]
steps:  58%|█████▊    | 2491/4288 [52:42<38:01,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2492/4288 [52:43<38:00,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2492/4288 [52:43<38:00,  1.27s/it, avr_loss=0.0894]
steps:  58%|█████▊    | 2493/4288 [52:45<37:58,  1.27s/it, avr_loss=0.0894]
steps:  58%|█████▊    | 2493/4288 [52:45<37:58,  1.27s/it, avr_loss=0.0893]
steps:  58%|█████▊    | 2494/4288 [52:46<37:57,  1.27s/it, avr_loss=0.0893]
steps:  58%|█████▊    | 2494/4288 [52:46<37:57,  1.27s/it, avr_loss=0.0889]
steps:  58%|█████▊    | 2495/4288 [52:47<37:56,  1.27s/it, avr_loss=0.0889]
steps:  58%|█████▊    | 2495/4288 [52:47<37:56,  1.27s/it, avr_loss=0.0891]
steps:  58%|█████▊    | 2496/4288 [52:48<37:55,  1.27s/it, avr_loss=0.0891]
steps:  58%|█████▊    | 2496/4288 [52:48<37:55,  1.27s/it, avr_loss=0.089] 
steps:  58%|█████▊    | 2497/4288 [52:50<37:53,  1.27s/it, avr_loss=0.089]
steps:  58%|█████▊    | 2497/4288 [52:50<37:53,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2498/4288 [52:51<37:52,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2498/4288 [52:51<37:52,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2499/4288 [52:52<37:51,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2499/4288 [52:52<37:51,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2500/4288 [52:54<37:50,  1.27s/it, avr_loss=0.0892]
steps:  58%|█████▊    | 2500/4288 [52:54<37:50,  1.27s/it, avr_loss=0.0891]
steps:  58%|█████▊    | 2501/4288 [52:55<37:48,  1.27s/it, avr_loss=0.0891]
steps:  58%|█████▊    | 2501/4288 [52:55<37:48,  1.27s/it, avr_loss=0.0893]
steps:  58%|█████▊    | 2502/4288 [52:56<37:47,  1.27s/it, avr_loss=0.0893]
steps:  58%|█████▊    | 2502/4288 [52:56<37:47,  1.27s/it, avr_loss=0.09]  
steps:  58%|█████▊    | 2503/4288 [52:57<37:46,  1.27s/it, avr_loss=0.09]
steps:  58%|█████▊    | 2503/4288 [52:57<37:46,  1.27s/it, avr_loss=0.0902]
steps:  58%|█████▊    | 2504/4288 [52:58<37:44,  1.27s/it, avr_loss=0.0902]
steps:  58%|█████▊    | 2504/4288 [52:58<37:44,  1.27s/it, avr_loss=0.0902]
steps:  58%|█████▊    | 2505/4288 [53:00<37:43,  1.27s/it, avr_loss=0.0902]
steps:  58%|█████▊    | 2505/4288 [53:00<37:43,  1.27s/it, avr_loss=0.0901]
steps:  58%|█████▊    | 2506/4288 [53:01<37:42,  1.27s/it, avr_loss=0.0901]
steps:  58%|█████▊    | 2506/4288 [53:01<37:42,  1.27s/it, avr_loss=0.0898]
steps:  58%|█████▊    | 2507/4288 [53:02<37:41,  1.27s/it, avr_loss=0.0898]
steps:  58%|█████▊    | 2507/4288 [53:02<37:41,  1.27s/it, avr_loss=0.0898]
steps:  58%|█████▊    | 2508/4288 [53:04<37:39,  1.27s/it, avr_loss=0.0898]
steps:  58%|█████▊    | 2508/4288 [53:04<37:39,  1.27s/it, avr_loss=0.0899]
steps:  59%|█████▊    | 2509/4288 [53:05<37:38,  1.27s/it, avr_loss=0.0899]
steps:  59%|█████▊    | 2509/4288 [53:05<37:38,  1.27s/it, avr_loss=0.09]  
steps:  59%|█████▊    | 2510/4288 [53:06<37:37,  1.27s/it, avr_loss=0.09]
steps:  59%|█████▊    | 2510/4288 [53:06<37:37,  1.27s/it, avr_loss=0.0901]
steps:  59%|█████▊    | 2511/4288 [53:07<37:35,  1.27s/it, avr_loss=0.0901]
steps:  59%|█████▊    | 2511/4288 [53:07<37:35,  1.27s/it, avr_loss=0.0899]
steps:  59%|█████▊    | 2512/4288 [53:09<37:34,  1.27s/it, avr_loss=0.0899]
steps:  59%|█████▊    | 2512/4288 [53:09<37:34,  1.27s/it, avr_loss=0.0901]
steps:  59%|█████▊    | 2513/4288 [53:10<37:33,  1.27s/it, avr_loss=0.0901]
steps:  59%|█████▊    | 2513/4288 [53:10<37:33,  1.27s/it, avr_loss=0.09]  
steps:  59%|█████▊    | 2514/4288 [53:11<37:32,  1.27s/it, avr_loss=0.09]
steps:  59%|█████▊    | 2514/4288 [53:11<37:32,  1.27s/it, avr_loss=0.0898]
steps:  59%|█████▊    | 2515/4288 [53:12<37:30,  1.27s/it, avr_loss=0.0898]
steps:  59%|█████▊    | 2515/4288 [53:12<37:30,  1.27s/it, avr_loss=0.09]  
steps:  59%|█████▊    | 2516/4288 [53:14<37:29,  1.27s/it, avr_loss=0.09]
steps:  59%|█████▊    | 2516/4288 [53:14<37:29,  1.27s/it, avr_loss=0.0899]
steps:  59%|█████▊    | 2517/4288 [53:15<37:28,  1.27s/it, avr_loss=0.0899]
steps:  59%|█████▊    | 2517/4288 [53:15<37:28,  1.27s/it, avr_loss=0.0898]
steps:  59%|█████▊    | 2518/4288 [53:17<37:27,  1.27s/it, avr_loss=0.0898]
steps:  59%|█████▊    | 2518/4288 [53:17<37:27,  1.27s/it, avr_loss=0.0897]
steps:  59%|█████▊    | 2519/4288 [53:18<37:26,  1.27s/it, avr_loss=0.0897]
steps:  59%|█████▊    | 2519/4288 [53:18<37:26,  1.27s/it, avr_loss=0.0897]
steps:  59%|█████▉    | 2520/4288 [53:19<37:24,  1.27s/it, avr_loss=0.0897]
steps:  59%|█████▉    | 2520/4288 [53:19<37:24,  1.27s/it, avr_loss=0.0897]
steps:  59%|█████▉    | 2521/4288 [53:20<37:23,  1.27s/it, avr_loss=0.0897]
steps:  59%|█████▉    | 2521/4288 [53:20<37:23,  1.27s/it, avr_loss=0.0895]
steps:  59%|█████▉    | 2522/4288 [53:21<37:22,  1.27s/it, avr_loss=0.0895]
steps:  59%|█████▉    | 2522/4288 [53:21<37:22,  1.27s/it, avr_loss=0.0897]
steps:  59%|█████▉    | 2523/4288 [53:23<37:20,  1.27s/it, avr_loss=0.0897]
steps:  59%|█████▉    | 2523/4288 [53:23<37:20,  1.27s/it, avr_loss=0.0897]
steps:  59%|█████▉    | 2524/4288 [53:24<37:19,  1.27s/it, avr_loss=0.0897]
steps:  59%|█████▉    | 2524/4288 [53:24<37:19,  1.27s/it, avr_loss=0.0898]
steps:  59%|█████▉    | 2525/4288 [53:25<37:18,  1.27s/it, avr_loss=0.0898]
steps:  59%|█████▉    | 2525/4288 [53:25<37:18,  1.27s/it, avr_loss=0.0899]
steps:  59%|█████▉    | 2526/4288 [53:26<37:16,  1.27s/it, avr_loss=0.0899]
steps:  59%|█████▉    | 2526/4288 [53:26<37:16,  1.27s/it, avr_loss=0.09]  
steps:  59%|█████▉    | 2527/4288 [53:28<37:15,  1.27s/it, avr_loss=0.09]
steps:  59%|█████▉    | 2527/4288 [53:28<37:15,  1.27s/it, avr_loss=0.0902]
steps:  59%|█████▉    | 2528/4288 [53:29<37:14,  1.27s/it, avr_loss=0.0902]
steps:  59%|█████▉    | 2528/4288 [53:29<37:14,  1.27s/it, avr_loss=0.0901]
steps:  59%|█████▉    | 2529/4288 [53:30<37:13,  1.27s/it, avr_loss=0.0901]
steps:  59%|█████▉    | 2529/4288 [53:30<37:13,  1.27s/it, avr_loss=0.0901]
steps:  59%|█████▉    | 2530/4288 [53:32<37:11,  1.27s/it, avr_loss=0.0901]
steps:  59%|█████▉    | 2530/4288 [53:32<37:11,  1.27s/it, avr_loss=0.0901]
steps:  59%|█████▉    | 2531/4288 [53:33<37:10,  1.27s/it, avr_loss=0.0901]
steps:  59%|█████▉    | 2531/4288 [53:33<37:10,  1.27s/it, avr_loss=0.0894]
steps:  59%|█████▉    | 2532/4288 [53:34<37:09,  1.27s/it, avr_loss=0.0894]
steps:  59%|█████▉    | 2532/4288 [53:34<37:09,  1.27s/it, avr_loss=0.0893]
steps:  59%|█████▉    | 2533/4288 [53:35<37:08,  1.27s/it, avr_loss=0.0893]
steps:  59%|█████▉    | 2533/4288 [53:35<37:08,  1.27s/it, avr_loss=0.0893]
steps:  59%|█████▉    | 2534/4288 [53:37<37:06,  1.27s/it, avr_loss=0.0893]
steps:  59%|█████▉    | 2534/4288 [53:37<37:06,  1.27s/it, avr_loss=0.0892]
steps:  59%|█████▉    | 2535/4288 [53:38<37:05,  1.27s/it, avr_loss=0.0892]
steps:  59%|█████▉    | 2535/4288 [53:38<37:05,  1.27s/it, avr_loss=0.089] 
steps:  59%|█████▉    | 2536/4288 [53:39<37:04,  1.27s/it, avr_loss=0.089]
steps:  59%|█████▉    | 2536/4288 [53:39<37:04,  1.27s/it, avr_loss=0.0889]
steps:  59%|█████▉    | 2537/4288 [53:41<37:03,  1.27s/it, avr_loss=0.0889]
steps:  59%|█████▉    | 2537/4288 [53:41<37:03,  1.27s/it, avr_loss=0.0891]
steps:  59%|█████▉    | 2538/4288 [53:42<37:01,  1.27s/it, avr_loss=0.0891]
steps:  59%|█████▉    | 2538/4288 [53:42<37:01,  1.27s/it, avr_loss=0.089] 
steps:  59%|█████▉    | 2539/4288 [53:43<37:00,  1.27s/it, avr_loss=0.089]
steps:  59%|█████▉    | 2539/4288 [53:43<37:00,  1.27s/it, avr_loss=0.0891]
steps:  59%|█████▉    | 2540/4288 [53:44<36:59,  1.27s/it, avr_loss=0.0891]
steps:  59%|█████▉    | 2540/4288 [53:44<36:59,  1.27s/it, avr_loss=0.089] 
steps:  59%|█████▉    | 2541/4288 [53:45<36:57,  1.27s/it, avr_loss=0.089]
steps:  59%|█████▉    | 2541/4288 [53:45<36:57,  1.27s/it, avr_loss=0.0889]
steps:  59%|█████▉    | 2542/4288 [53:46<36:56,  1.27s/it, avr_loss=0.0889]
steps:  59%|█████▉    | 2542/4288 [53:46<36:56,  1.27s/it, avr_loss=0.0888]
steps:  59%|█████▉    | 2543/4288 [53:48<36:55,  1.27s/it, avr_loss=0.0888]
steps:  59%|█████▉    | 2543/4288 [53:48<36:55,  1.27s/it, avr_loss=0.0891]
steps:  59%|█████▉    | 2544/4288 [53:49<36:54,  1.27s/it, avr_loss=0.0891]
steps:  59%|█████▉    | 2544/4288 [53:49<36:54,  1.27s/it, avr_loss=0.0894]
steps:  59%|█████▉    | 2545/4288 [53:50<36:52,  1.27s/it, avr_loss=0.0894]
steps:  59%|█████▉    | 2545/4288 [53:50<36:52,  1.27s/it, avr_loss=0.0903]
steps:  59%|█████▉    | 2546/4288 [53:52<36:51,  1.27s/it, avr_loss=0.0903]
steps:  59%|█████▉    | 2546/4288 [53:52<36:51,  1.27s/it, avr_loss=0.0904]
steps:  59%|█████▉    | 2547/4288 [53:53<36:50,  1.27s/it, avr_loss=0.0904]
steps:  59%|█████▉    | 2547/4288 [53:53<36:50,  1.27s/it, avr_loss=0.0905]
steps:  59%|█████▉    | 2548/4288 [53:54<36:48,  1.27s/it, avr_loss=0.0905]
steps:  59%|█████▉    | 2548/4288 [53:54<36:48,  1.27s/it, avr_loss=0.0906]
steps:  59%|█████▉    | 2549/4288 [53:55<36:47,  1.27s/it, avr_loss=0.0906]
steps:  59%|█████▉    | 2549/4288 [53:55<36:47,  1.27s/it, avr_loss=0.0905]
steps:  59%|█████▉    | 2550/4288 [53:57<36:46,  1.27s/it, avr_loss=0.0905]
steps:  59%|█████▉    | 2550/4288 [53:57<36:46,  1.27s/it, avr_loss=0.0905]
steps:  59%|█████▉    | 2551/4288 [53:58<36:45,  1.27s/it, avr_loss=0.0905]
steps:  59%|█████▉    | 2551/4288 [53:58<36:45,  1.27s/it, avr_loss=0.0902]
steps:  60%|█████▉    | 2552/4288 [53:59<36:43,  1.27s/it, avr_loss=0.0902]
steps:  60%|█████▉    | 2552/4288 [53:59<36:43,  1.27s/it, avr_loss=0.0895]
steps:  60%|█████▉    | 2553/4288 [54:00<36:42,  1.27s/it, avr_loss=0.0895]
steps:  60%|█████▉    | 2553/4288 [54:00<36:42,  1.27s/it, avr_loss=0.0894]
steps:  60%|█████▉    | 2554/4288 [54:02<36:41,  1.27s/it, avr_loss=0.0894]
steps:  60%|█████▉    | 2554/4288 [54:02<36:41,  1.27s/it, avr_loss=0.0907]
steps:  60%|█████▉    | 2555/4288 [54:03<36:39,  1.27s/it, avr_loss=0.0907]
steps:  60%|█████▉    | 2555/4288 [54:03<36:39,  1.27s/it, avr_loss=0.0907]
steps:  60%|█████▉    | 2556/4288 [54:04<36:38,  1.27s/it, avr_loss=0.0907]
steps:  60%|█████▉    | 2556/4288 [54:04<36:38,  1.27s/it, avr_loss=0.0905]
steps:  60%|█████▉    | 2557/4288 [54:06<36:37,  1.27s/it, avr_loss=0.0905]
steps:  60%|█████▉    | 2557/4288 [54:06<36:37,  1.27s/it, avr_loss=0.0906]
steps:  60%|█████▉    | 2558/4288 [54:07<36:36,  1.27s/it, avr_loss=0.0906]
steps:  60%|█████▉    | 2558/4288 [54:07<36:36,  1.27s/it, avr_loss=0.0906]
steps:  60%|█████▉    | 2559/4288 [54:08<36:34,  1.27s/it, avr_loss=0.0906]
steps:  60%|█████▉    | 2559/4288 [54:08<36:34,  1.27s/it, avr_loss=0.0909]
steps:  60%|█████▉    | 2560/4288 [54:09<36:33,  1.27s/it, avr_loss=0.0909]
steps:  60%|█████▉    | 2560/4288 [54:09<36:33,  1.27s/it, avr_loss=0.0909]
steps:  60%|█████▉    | 2561/4288 [54:11<36:32,  1.27s/it, avr_loss=0.0909]
steps:  60%|█████▉    | 2561/4288 [54:11<36:32,  1.27s/it, avr_loss=0.0908]
steps:  60%|█████▉    | 2562/4288 [54:12<36:31,  1.27s/it, avr_loss=0.0908]
steps:  60%|█████▉    | 2562/4288 [54:12<36:31,  1.27s/it, avr_loss=0.0909]
steps:  60%|█████▉    | 2563/4288 [54:13<36:29,  1.27s/it, avr_loss=0.0909]
steps:  60%|█████▉    | 2563/4288 [54:13<36:29,  1.27s/it, avr_loss=0.091] 
steps:  60%|█████▉    | 2564/4288 [54:15<36:28,  1.27s/it, avr_loss=0.091]
steps:  60%|█████▉    | 2564/4288 [54:15<36:28,  1.27s/it, avr_loss=0.0914]
steps:  60%|█████▉    | 2565/4288 [54:16<36:27,  1.27s/it, avr_loss=0.0914]
steps:  60%|█████▉    | 2565/4288 [54:16<36:27,  1.27s/it, avr_loss=0.0913]
steps:  60%|█████▉    | 2566/4288 [54:17<36:26,  1.27s/it, avr_loss=0.0913]
steps:  60%|█████▉    | 2566/4288 [54:17<36:26,  1.27s/it, avr_loss=0.0915]
steps:  60%|█████▉    | 2567/4288 [54:18<36:24,  1.27s/it, avr_loss=0.0915]
steps:  60%|█████▉    | 2567/4288 [54:18<36:24,  1.27s/it, avr_loss=0.0916]
steps:  60%|█████▉    | 2568/4288 [54:20<36:23,  1.27s/it, avr_loss=0.0916]
steps:  60%|█████▉    | 2568/4288 [54:20<36:23,  1.27s/it, avr_loss=0.0917]
steps:  60%|█████▉    | 2569/4288 [54:21<36:22,  1.27s/it, avr_loss=0.0917]
steps:  60%|█████▉    | 2569/4288 [54:21<36:22,  1.27s/it, avr_loss=0.0917]
steps:  60%|█████▉    | 2570/4288 [54:22<36:21,  1.27s/it, avr_loss=0.0917]
steps:  60%|█████▉    | 2570/4288 [54:22<36:21,  1.27s/it, avr_loss=0.0917]
steps:  60%|█████▉    | 2571/4288 [54:24<36:20,  1.27s/it, avr_loss=0.0917]
steps:  60%|█████▉    | 2571/4288 [54:24<36:20,  1.27s/it, avr_loss=0.0917]
steps:  60%|█████▉    | 2572/4288 [54:25<36:18,  1.27s/it, avr_loss=0.0917]
steps:  60%|█████▉    | 2572/4288 [54:25<36:18,  1.27s/it, avr_loss=0.0917]
steps:  60%|██████    | 2573/4288 [54:26<36:17,  1.27s/it, avr_loss=0.0917]
steps:  60%|██████    | 2573/4288 [54:26<36:17,  1.27s/it, avr_loss=0.0917]
steps:  60%|██████    | 2574/4288 [54:28<36:16,  1.27s/it, avr_loss=0.0917]
steps:  60%|██████    | 2574/4288 [54:28<36:16,  1.27s/it, avr_loss=0.0916]
steps:  60%|██████    | 2575/4288 [54:29<36:14,  1.27s/it, avr_loss=0.0916]
steps:  60%|██████    | 2575/4288 [54:29<36:14,  1.27s/it, avr_loss=0.0918]
steps:  60%|██████    | 2576/4288 [54:30<36:13,  1.27s/it, avr_loss=0.0918]
steps:  60%|██████    | 2576/4288 [54:30<36:13,  1.27s/it, avr_loss=0.0918]
steps:  60%|██████    | 2577/4288 [54:32<36:12,  1.27s/it, avr_loss=0.0918]
steps:  60%|██████    | 2577/4288 [54:32<36:12,  1.27s/it, avr_loss=0.0916]
steps:  60%|██████    | 2578/4288 [54:33<36:11,  1.27s/it, avr_loss=0.0916]
steps:  60%|██████    | 2578/4288 [54:33<36:11,  1.27s/it, avr_loss=0.0916]
steps:  60%|██████    | 2579/4288 [54:34<36:09,  1.27s/it, avr_loss=0.0916]
steps:  60%|██████    | 2579/4288 [54:34<36:09,  1.27s/it, avr_loss=0.0914]
steps:  60%|██████    | 2580/4288 [54:35<36:08,  1.27s/it, avr_loss=0.0914]
steps:  60%|██████    | 2580/4288 [54:35<36:08,  1.27s/it, avr_loss=0.0914]
steps:  60%|██████    | 2581/4288 [54:37<36:07,  1.27s/it, avr_loss=0.0914]
steps:  60%|██████    | 2581/4288 [54:37<36:07,  1.27s/it, avr_loss=0.0915]
steps:  60%|██████    | 2582/4288 [54:38<36:06,  1.27s/it, avr_loss=0.0915]
steps:  60%|██████    | 2582/4288 [54:38<36:06,  1.27s/it, avr_loss=0.09]  
steps:  60%|██████    | 2583/4288 [54:39<36:04,  1.27s/it, avr_loss=0.09]
steps:  60%|██████    | 2583/4288 [54:39<36:04,  1.27s/it, avr_loss=0.0903]
steps:  60%|██████    | 2584/4288 [54:41<36:03,  1.27s/it, avr_loss=0.0903]
steps:  60%|██████    | 2584/4288 [54:41<36:03,  1.27s/it, avr_loss=0.0903]
steps:  60%|██████    | 2585/4288 [54:42<36:02,  1.27s/it, avr_loss=0.0903]
steps:  60%|██████    | 2585/4288 [54:42<36:02,  1.27s/it, avr_loss=0.0903]
steps:  60%|██████    | 2586/4288 [54:43<36:01,  1.27s/it, avr_loss=0.0903]
steps:  60%|██████    | 2586/4288 [54:43<36:01,  1.27s/it, avr_loss=0.0903]
steps:  60%|██████    | 2587/4288 [54:44<35:59,  1.27s/it, avr_loss=0.0903]
steps:  60%|██████    | 2587/4288 [54:44<35:59,  1.27s/it, avr_loss=0.0903]
steps:  60%|██████    | 2588/4288 [54:46<35:58,  1.27s/it, avr_loss=0.0903]
steps:  60%|██████    | 2588/4288 [54:46<35:58,  1.27s/it, avr_loss=0.0904]
steps:  60%|██████    | 2589/4288 [54:47<35:57,  1.27s/it, avr_loss=0.0904]
steps:  60%|██████    | 2589/4288 [54:47<35:57,  1.27s/it, avr_loss=0.0906]
steps:  60%|██████    | 2590/4288 [54:48<35:56,  1.27s/it, avr_loss=0.0906]
steps:  60%|██████    | 2590/4288 [54:48<35:56,  1.27s/it, avr_loss=0.0908]
steps:  60%|██████    | 2591/4288 [54:50<35:54,  1.27s/it, avr_loss=0.0908]
steps:  60%|██████    | 2591/4288 [54:50<35:54,  1.27s/it, avr_loss=0.0908]
steps:  60%|██████    | 2592/4288 [54:51<35:53,  1.27s/it, avr_loss=0.0908]
steps:  60%|██████    | 2592/4288 [54:51<35:53,  1.27s/it, avr_loss=0.0906]
steps:  60%|██████    | 2593/4288 [54:52<35:52,  1.27s/it, avr_loss=0.0906]
steps:  60%|██████    | 2593/4288 [54:52<35:52,  1.27s/it, avr_loss=0.0905]
steps:  60%|██████    | 2594/4288 [54:53<35:51,  1.27s/it, avr_loss=0.0905]
steps:  60%|██████    | 2594/4288 [54:53<35:51,  1.27s/it, avr_loss=0.0902]
steps:  61%|██████    | 2595/4288 [54:55<35:49,  1.27s/it, avr_loss=0.0902]
steps:  61%|██████    | 2595/4288 [54:55<35:49,  1.27s/it, avr_loss=0.0902]
steps:  61%|██████    | 2596/4288 [54:56<35:48,  1.27s/it, avr_loss=0.0902]
steps:  61%|██████    | 2596/4288 [54:56<35:48,  1.27s/it, avr_loss=0.0902]
steps:  61%|██████    | 2597/4288 [54:57<35:47,  1.27s/it, avr_loss=0.0902]
steps:  61%|██████    | 2597/4288 [54:57<35:47,  1.27s/it, avr_loss=0.0902]
steps:  61%|██████    | 2598/4288 [54:59<35:46,  1.27s/it, avr_loss=0.0902]
steps:  61%|██████    | 2598/4288 [54:59<35:46,  1.27s/it, avr_loss=0.0897]
steps:  61%|██████    | 2599/4288 [55:00<35:44,  1.27s/it, avr_loss=0.0897]
steps:  61%|██████    | 2599/4288 [55:00<35:44,  1.27s/it, avr_loss=0.09]  
steps:  61%|██████    | 2600/4288 [55:01<35:43,  1.27s/it, avr_loss=0.09]
steps:  61%|██████    | 2600/4288 [55:01<35:43,  1.27s/it, avr_loss=0.0898]
steps:  61%|██████    | 2601/4288 [55:03<35:42,  1.27s/it, avr_loss=0.0898]
steps:  61%|██████    | 2601/4288 [55:03<35:42,  1.27s/it, avr_loss=0.0898]
steps:  61%|██████    | 2602/4288 [55:04<35:41,  1.27s/it, avr_loss=0.0898]
steps:  61%|██████    | 2602/4288 [55:04<35:41,  1.27s/it, avr_loss=0.0897]
steps:  61%|██████    | 2603/4288 [55:05<35:39,  1.27s/it, avr_loss=0.0897]
steps:  61%|██████    | 2603/4288 [55:05<35:39,  1.27s/it, avr_loss=0.0898]
steps:  61%|██████    | 2604/4288 [55:06<35:38,  1.27s/it, avr_loss=0.0898]
steps:  61%|██████    | 2604/4288 [55:06<35:38,  1.27s/it, avr_loss=0.0893]
steps:  61%|██████    | 2605/4288 [55:08<35:37,  1.27s/it, avr_loss=0.0893]
steps:  61%|██████    | 2605/4288 [55:08<35:37,  1.27s/it, avr_loss=0.0893]
steps:  61%|██████    | 2606/4288 [55:09<35:36,  1.27s/it, avr_loss=0.0893]
steps:  61%|██████    | 2606/4288 [55:09<35:36,  1.27s/it, avr_loss=0.0892]
steps:  61%|██████    | 2607/4288 [55:10<35:34,  1.27s/it, avr_loss=0.0892]
steps:  61%|██████    | 2607/4288 [55:10<35:34,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████    | 2608/4288 [55:12<35:33,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████    | 2608/4288 [55:12<35:33,  1.27s/it, avr_loss=0.09]  
steps:  61%|██████    | 2609/4288 [55:13<35:32,  1.27s/it, avr_loss=0.09]
steps:  61%|██████    | 2609/4288 [55:13<35:32,  1.27s/it, avr_loss=0.09]
steps:  61%|██████    | 2610/4288 [55:14<35:31,  1.27s/it, avr_loss=0.09]
steps:  61%|██████    | 2610/4288 [55:14<35:31,  1.27s/it, avr_loss=0.0903]
steps:  61%|██████    | 2611/4288 [55:16<35:29,  1.27s/it, avr_loss=0.0903]
steps:  61%|██████    | 2611/4288 [55:16<35:29,  1.27s/it, avr_loss=0.0904]
steps:  61%|██████    | 2612/4288 [55:17<35:28,  1.27s/it, avr_loss=0.0904]
steps:  61%|██████    | 2612/4288 [55:17<35:28,  1.27s/it, avr_loss=0.0909]
steps:  61%|██████    | 2613/4288 [55:18<35:27,  1.27s/it, avr_loss=0.0909]
steps:  61%|██████    | 2613/4288 [55:18<35:27,  1.27s/it, avr_loss=0.091] 
steps:  61%|██████    | 2614/4288 [55:19<35:26,  1.27s/it, avr_loss=0.091]
steps:  61%|██████    | 2614/4288 [55:19<35:26,  1.27s/it, avr_loss=0.0907]
steps:  61%|██████    | 2615/4288 [55:21<35:24,  1.27s/it, avr_loss=0.0907]
steps:  61%|██████    | 2615/4288 [55:21<35:24,  1.27s/it, avr_loss=0.0908]
steps:  61%|██████    | 2616/4288 [55:22<35:23,  1.27s/it, avr_loss=0.0908]
steps:  61%|██████    | 2616/4288 [55:22<35:23,  1.27s/it, avr_loss=0.0901]
steps:  61%|██████    | 2617/4288 [55:23<35:22,  1.27s/it, avr_loss=0.0901]
steps:  61%|██████    | 2617/4288 [55:23<35:22,  1.27s/it, avr_loss=0.0904]
steps:  61%|██████    | 2618/4288 [55:25<35:21,  1.27s/it, avr_loss=0.0904]
steps:  61%|██████    | 2618/4288 [55:25<35:21,  1.27s/it, avr_loss=0.0902]
steps:  61%|██████    | 2619/4288 [55:26<35:19,  1.27s/it, avr_loss=0.0902]
steps:  61%|██████    | 2619/4288 [55:26<35:19,  1.27s/it, avr_loss=0.0903]
steps:  61%|██████    | 2620/4288 [55:27<35:18,  1.27s/it, avr_loss=0.0903]
steps:  61%|██████    | 2620/4288 [55:27<35:18,  1.27s/it, avr_loss=0.09]  
steps:  61%|██████    | 2621/4288 [55:28<35:17,  1.27s/it, avr_loss=0.09]
steps:  61%|██████    | 2621/4288 [55:28<35:17,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████    | 2622/4288 [55:30<35:15,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████    | 2622/4288 [55:30<35:15,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████    | 2623/4288 [55:31<35:14,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████    | 2623/4288 [55:31<35:14,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████    | 2624/4288 [55:32<35:13,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████    | 2624/4288 [55:32<35:13,  1.27s/it, avr_loss=0.09]  
steps:  61%|██████    | 2625/4288 [55:33<35:12,  1.27s/it, avr_loss=0.09]
steps:  61%|██████    | 2625/4288 [55:33<35:12,  1.27s/it, avr_loss=0.0897]
steps:  61%|██████    | 2626/4288 [55:35<35:10,  1.27s/it, avr_loss=0.0897]
steps:  61%|██████    | 2626/4288 [55:35<35:10,  1.27s/it, avr_loss=0.09]  
steps:  61%|██████▏   | 2627/4288 [55:36<35:09,  1.27s/it, avr_loss=0.09]
steps:  61%|██████▏   | 2627/4288 [55:36<35:09,  1.27s/it, avr_loss=0.0901]
steps:  61%|██████▏   | 2628/4288 [55:37<35:08,  1.27s/it, avr_loss=0.0901]
steps:  61%|██████▏   | 2628/4288 [55:37<35:08,  1.27s/it, avr_loss=0.0901]
steps:  61%|██████▏   | 2629/4288 [55:39<35:07,  1.27s/it, avr_loss=0.0901]
steps:  61%|██████▏   | 2629/4288 [55:39<35:07,  1.27s/it, avr_loss=0.09]  
steps:  61%|██████▏   | 2630/4288 [55:40<35:05,  1.27s/it, avr_loss=0.09]
steps:  61%|██████▏   | 2630/4288 [55:40<35:05,  1.27s/it, avr_loss=0.0904]
steps:  61%|██████▏   | 2631/4288 [55:41<35:04,  1.27s/it, avr_loss=0.0904]
steps:  61%|██████▏   | 2631/4288 [55:41<35:04,  1.27s/it, avr_loss=0.0904]
steps:  61%|██████▏   | 2632/4288 [55:43<35:03,  1.27s/it, avr_loss=0.0904]
steps:  61%|██████▏   | 2632/4288 [55:43<35:03,  1.27s/it, avr_loss=0.0904]
steps:  61%|██████▏   | 2633/4288 [55:44<35:02,  1.27s/it, avr_loss=0.0904]
steps:  61%|██████▏   | 2633/4288 [55:44<35:02,  1.27s/it, avr_loss=0.09]  
steps:  61%|██████▏   | 2634/4288 [55:45<35:00,  1.27s/it, avr_loss=0.09]
steps:  61%|██████▏   | 2634/4288 [55:45<35:00,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████▏   | 2635/4288 [55:46<34:59,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████▏   | 2635/4288 [55:46<34:59,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████▏   | 2636/4288 [55:48<34:58,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████▏   | 2636/4288 [55:48<34:58,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████▏   | 2637/4288 [55:49<34:57,  1.27s/it, avr_loss=0.0899]
steps:  61%|██████▏   | 2637/4288 [55:49<34:57,  1.27s/it, avr_loss=0.0892]
steps:  62%|██████▏   | 2638/4288 [55:50<34:55,  1.27s/it, avr_loss=0.0892]
steps:  62%|██████▏   | 2638/4288 [55:50<34:55,  1.27s/it, avr_loss=0.0893]
steps:  62%|██████▏   | 2639/4288 [55:52<34:54,  1.27s/it, avr_loss=0.0893]
steps:  62%|██████▏   | 2639/4288 [55:52<34:54,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2640/4288 [55:53<34:53,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2640/4288 [55:53<34:53,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2641/4288 [55:54<34:52,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2641/4288 [55:54<34:52,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2642/4288 [55:56<34:50,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2642/4288 [55:56<34:50,  1.27s/it, avr_loss=0.0904]
steps:  62%|██████▏   | 2643/4288 [55:57<34:49,  1.27s/it, avr_loss=0.0904]
steps:  62%|██████▏   | 2643/4288 [55:57<34:49,  1.27s/it, avr_loss=0.0904]
steps:  62%|██████▏   | 2644/4288 [55:58<34:48,  1.27s/it, avr_loss=0.0904]
steps:  62%|██████▏   | 2644/4288 [55:58<34:48,  1.27s/it, avr_loss=0.0902]
steps:  62%|██████▏   | 2645/4288 [56:00<34:47,  1.27s/it, avr_loss=0.0902]
steps:  62%|██████▏   | 2645/4288 [56:00<34:47,  1.27s/it, avr_loss=0.0904]
steps:  62%|██████▏   | 2646/4288 [56:01<34:45,  1.27s/it, avr_loss=0.0904]
steps:  62%|██████▏   | 2646/4288 [56:01<34:45,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2647/4288 [56:02<34:44,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2647/4288 [56:02<34:44,  1.27s/it, avr_loss=0.0899]
steps:  62%|██████▏   | 2648/4288 [56:03<34:43,  1.27s/it, avr_loss=0.0899]
steps:  62%|██████▏   | 2648/4288 [56:03<34:43,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2649/4288 [56:05<34:42,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2649/4288 [56:05<34:42,  1.27s/it, avr_loss=0.0903]
steps:  62%|██████▏   | 2650/4288 [56:06<34:40,  1.27s/it, avr_loss=0.0903]
steps:  62%|██████▏   | 2650/4288 [56:06<34:40,  1.27s/it, avr_loss=0.0905]
steps:  62%|██████▏   | 2651/4288 [56:07<34:39,  1.27s/it, avr_loss=0.0905]
steps:  62%|██████▏   | 2651/4288 [56:07<34:39,  1.27s/it, avr_loss=0.0905]
steps:  62%|██████▏   | 2652/4288 [56:08<34:38,  1.27s/it, avr_loss=0.0905]
steps:  62%|██████▏   | 2652/4288 [56:08<34:38,  1.27s/it, avr_loss=0.0907]
steps:  62%|██████▏   | 2653/4288 [56:10<34:36,  1.27s/it, avr_loss=0.0907]
steps:  62%|██████▏   | 2653/4288 [56:10<34:36,  1.27s/it, avr_loss=0.0905]
steps:  62%|██████▏   | 2654/4288 [56:11<34:35,  1.27s/it, avr_loss=0.0905]
steps:  62%|██████▏   | 2654/4288 [56:11<34:35,  1.27s/it, avr_loss=0.0902]
steps:  62%|██████▏   | 2655/4288 [56:12<34:34,  1.27s/it, avr_loss=0.0902]
steps:  62%|██████▏   | 2655/4288 [56:12<34:34,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2656/4288 [56:14<34:33,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2656/4288 [56:14<34:33,  1.27s/it, avr_loss=0.0903]
steps:  62%|██████▏   | 2657/4288 [56:15<34:31,  1.27s/it, avr_loss=0.0903]
steps:  62%|██████▏   | 2657/4288 [56:15<34:31,  1.27s/it, avr_loss=0.0904]
steps:  62%|██████▏   | 2658/4288 [56:16<34:30,  1.27s/it, avr_loss=0.0904]
steps:  62%|██████▏   | 2658/4288 [56:16<34:30,  1.27s/it, avr_loss=0.0903]
steps:  62%|██████▏   | 2659/4288 [56:17<34:29,  1.27s/it, avr_loss=0.0903]
steps:  62%|██████▏   | 2659/4288 [56:17<34:29,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2660/4288 [56:19<34:28,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2660/4288 [56:19<34:28,  1.27s/it, avr_loss=0.09]  
steps:  62%|██████▏   | 2661/4288 [56:20<34:26,  1.27s/it, avr_loss=0.09]
steps:  62%|██████▏   | 2661/4288 [56:20<34:26,  1.27s/it, avr_loss=0.09]
steps:  62%|██████▏   | 2662/4288 [56:21<34:25,  1.27s/it, avr_loss=0.09]
steps:  62%|██████▏   | 2662/4288 [56:21<34:25,  1.27s/it, avr_loss=0.0904]
steps:  62%|██████▏   | 2663/4288 [56:22<34:24,  1.27s/it, avr_loss=0.0904]
steps:  62%|██████▏   | 2663/4288 [56:22<34:24,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2664/4288 [56:24<34:23,  1.27s/it, avr_loss=0.0901]
steps:  62%|██████▏   | 2664/4288 [56:24<34:23,  1.27s/it, avr_loss=0.0902]
steps:  62%|██████▏   | 2665/4288 [56:25<34:21,  1.27s/it, avr_loss=0.0902]
steps:  62%|██████▏   | 2665/4288 [56:25<34:21,  1.27s/it, avr_loss=0.09]  
steps:  62%|██████▏   | 2666/4288 [56:26<34:20,  1.27s/it, avr_loss=0.09]
steps:  62%|██████▏   | 2666/4288 [56:26<34:20,  1.27s/it, avr_loss=0.0899]
steps:  62%|██████▏   | 2667/4288 [56:27<34:19,  1.27s/it, avr_loss=0.0899]
steps:  62%|██████▏   | 2667/4288 [56:27<34:19,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2668/4288 [56:29<34:17,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2668/4288 [56:29<34:17,  1.27s/it, avr_loss=0.0898]
steps:  62%|██████▏   | 2669/4288 [56:30<34:16,  1.27s/it, avr_loss=0.0898]
steps:  62%|██████▏   | 2669/4288 [56:30<34:16,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2670/4288 [56:31<34:15,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2670/4288 [56:31<34:15,  1.27s/it, avr_loss=0.0896]
steps:  62%|██████▏   | 2671/4288 [56:32<34:13,  1.27s/it, avr_loss=0.0896]
steps:  62%|██████▏   | 2671/4288 [56:32<34:13,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2672/4288 [56:34<34:12,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2672/4288 [56:34<34:12,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2673/4288 [56:35<34:11,  1.27s/it, avr_loss=0.0897]
steps:  62%|██████▏   | 2673/4288 [56:35<34:11,  1.27s/it, avr_loss=0.0895]
steps:  62%|██████▏   | 2674/4288 [56:36<34:10,  1.27s/it, avr_loss=0.0895]
steps:  62%|██████▏   | 2674/4288 [56:36<34:10,  1.27s/it, avr_loss=0.0892]
steps:  62%|██████▏   | 2675/4288 [56:38<34:08,  1.27s/it, avr_loss=0.0892]
steps:  62%|██████▏   | 2675/4288 [56:38<34:08,  1.27s/it, avr_loss=0.0892]
steps:  62%|██████▏   | 2676/4288 [56:39<34:07,  1.27s/it, avr_loss=0.0892]
steps:  62%|██████▏   | 2676/4288 [56:39<34:07,  1.27s/it, avr_loss=0.0892]
steps:  62%|██████▏   | 2677/4288 [56:40<34:06,  1.27s/it, avr_loss=0.0892]
steps:  62%|██████▏   | 2677/4288 [56:40<34:06,  1.27s/it, avr_loss=0.0894]
steps:  62%|██████▏   | 2678/4288 [56:41<34:04,  1.27s/it, avr_loss=0.0894]
steps:  62%|██████▏   | 2678/4288 [56:41<34:04,  1.27s/it, avr_loss=0.0893]
steps:  62%|██████▏   | 2679/4288 [56:42<34:03,  1.27s/it, avr_loss=0.0893]
steps:  62%|██████▏   | 2679/4288 [56:42<34:03,  1.27s/it, avr_loss=0.0896]
steps:  62%|██████▎   | 2680/4288 [56:44<34:02,  1.27s/it, avr_loss=0.0896]
steps:  62%|██████▎   | 2680/4288 [56:44<34:02,  1.27s/it, avr_loss=0.0895]2026-07-24 14:32:28 INFO     epoch is incremented. current_epoch: dataset.py:464
                             10, epoch: 11                                      
2026-07-24 14:32:28 INFO     epoch is incremented. current_epoch: dataset.py:464
                             10, epoch: 11                                      

steps:  63%|██████▎   | 2681/4288 [56:45<34:01,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2681/4288 [56:45<34:01,  1.27s/it, avr_loss=0.0894]
steps:  63%|██████▎   | 2682/4288 [56:46<33:59,  1.27s/it, avr_loss=0.0894]
steps:  63%|██████▎   | 2682/4288 [56:46<33:59,  1.27s/it, avr_loss=0.0892]
steps:  63%|██████▎   | 2683/4288 [56:47<33:58,  1.27s/it, avr_loss=0.0892]
steps:  63%|██████▎   | 2683/4288 [56:47<33:58,  1.27s/it, avr_loss=0.0893]
steps:  63%|██████▎   | 2684/4288 [56:49<33:57,  1.27s/it, avr_loss=0.0893]
steps:  63%|██████▎   | 2684/4288 [56:49<33:57,  1.27s/it, avr_loss=0.0893]
steps:  63%|██████▎   | 2685/4288 [56:50<33:55,  1.27s/it, avr_loss=0.0893]
steps:  63%|██████▎   | 2685/4288 [56:50<33:55,  1.27s/it, avr_loss=0.0894]
steps:  63%|██████▎   | 2686/4288 [56:51<33:54,  1.27s/it, avr_loss=0.0894]
steps:  63%|██████▎   | 2686/4288 [56:51<33:54,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2687/4288 [56:52<33:53,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2687/4288 [56:52<33:53,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2688/4288 [56:54<33:52,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2688/4288 [56:54<33:52,  1.27s/it, avr_loss=0.0888]
steps:  63%|██████▎   | 2689/4288 [56:55<33:50,  1.27s/it, avr_loss=0.0888]
steps:  63%|██████▎   | 2689/4288 [56:55<33:50,  1.27s/it, avr_loss=0.0889]
steps:  63%|██████▎   | 2690/4288 [56:56<33:49,  1.27s/it, avr_loss=0.0889]
steps:  63%|██████▎   | 2690/4288 [56:56<33:49,  1.27s/it, avr_loss=0.0892]
steps:  63%|██████▎   | 2691/4288 [56:57<33:48,  1.27s/it, avr_loss=0.0892]
steps:  63%|██████▎   | 2691/4288 [56:57<33:48,  1.27s/it, avr_loss=0.0893]
steps:  63%|██████▎   | 2692/4288 [56:59<33:47,  1.27s/it, avr_loss=0.0893]
steps:  63%|██████▎   | 2692/4288 [56:59<33:47,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2693/4288 [57:00<33:45,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2693/4288 [57:00<33:45,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2694/4288 [57:01<33:44,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2694/4288 [57:01<33:44,  1.27s/it, avr_loss=0.0893]
steps:  63%|██████▎   | 2695/4288 [57:02<33:43,  1.27s/it, avr_loss=0.0893]
steps:  63%|██████▎   | 2695/4288 [57:02<33:43,  1.27s/it, avr_loss=0.0896]
steps:  63%|██████▎   | 2696/4288 [57:04<33:41,  1.27s/it, avr_loss=0.0896]
steps:  63%|██████▎   | 2696/4288 [57:04<33:41,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2697/4288 [57:05<33:40,  1.27s/it, avr_loss=0.0895]
steps:  63%|██████▎   | 2697/4288 [57:05<33:40,  1.27s/it, avr_loss=0.0904]
steps:  63%|██████▎   | 2698/4288 [57:06<33:39,  1.27s/it, avr_loss=0.0904]
steps:  63%|██████▎   | 2698/4288 [57:06<33:39,  1.27s/it, avr_loss=0.0904]
steps:  63%|██████▎   | 2699/4288 [57:08<33:38,  1.27s/it, avr_loss=0.0904]
steps:  63%|██████▎   | 2699/4288 [57:08<33:38,  1.27s/it, avr_loss=0.0905]
steps:  63%|██████▎   | 2700/4288 [57:09<33:36,  1.27s/it, avr_loss=0.0905]
steps:  63%|██████▎   | 2700/4288 [57:09<33:36,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2701/4288 [57:10<33:35,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2701/4288 [57:10<33:35,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2702/4288 [57:11<33:34,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2702/4288 [57:11<33:34,  1.27s/it, avr_loss=0.0904]
steps:  63%|██████▎   | 2703/4288 [57:13<33:33,  1.27s/it, avr_loss=0.0904]
steps:  63%|██████▎   | 2703/4288 [57:13<33:33,  1.27s/it, avr_loss=0.0898]
steps:  63%|██████▎   | 2704/4288 [57:14<33:31,  1.27s/it, avr_loss=0.0898]
steps:  63%|██████▎   | 2704/4288 [57:14<33:31,  1.27s/it, avr_loss=0.09]  
steps:  63%|██████▎   | 2705/4288 [57:15<33:30,  1.27s/it, avr_loss=0.09]
steps:  63%|██████▎   | 2705/4288 [57:15<33:30,  1.27s/it, avr_loss=0.09]
steps:  63%|██████▎   | 2706/4288 [57:17<33:29,  1.27s/it, avr_loss=0.09]
steps:  63%|██████▎   | 2706/4288 [57:17<33:29,  1.27s/it, avr_loss=0.0901]
steps:  63%|██████▎   | 2707/4288 [57:18<33:28,  1.27s/it, avr_loss=0.0901]
steps:  63%|██████▎   | 2707/4288 [57:18<33:28,  1.27s/it, avr_loss=0.0897]
steps:  63%|██████▎   | 2708/4288 [57:19<33:26,  1.27s/it, avr_loss=0.0897]
steps:  63%|██████▎   | 2708/4288 [57:19<33:26,  1.27s/it, avr_loss=0.0901]
steps:  63%|██████▎   | 2709/4288 [57:20<33:25,  1.27s/it, avr_loss=0.0901]
steps:  63%|██████▎   | 2709/4288 [57:20<33:25,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2710/4288 [57:22<33:24,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2710/4288 [57:22<33:24,  1.27s/it, avr_loss=0.0902]
steps:  63%|██████▎   | 2711/4288 [57:23<33:23,  1.27s/it, avr_loss=0.0902]
steps:  63%|██████▎   | 2711/4288 [57:23<33:23,  1.27s/it, avr_loss=0.0902]
steps:  63%|██████▎   | 2712/4288 [57:24<33:21,  1.27s/it, avr_loss=0.0902]
steps:  63%|██████▎   | 2712/4288 [57:24<33:21,  1.27s/it, avr_loss=0.0902]
steps:  63%|██████▎   | 2713/4288 [57:25<33:20,  1.27s/it, avr_loss=0.0902]
steps:  63%|██████▎   | 2713/4288 [57:25<33:20,  1.27s/it, avr_loss=0.0901]
steps:  63%|██████▎   | 2714/4288 [57:27<33:19,  1.27s/it, avr_loss=0.0901]
steps:  63%|██████▎   | 2714/4288 [57:27<33:19,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2715/4288 [57:28<33:17,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2715/4288 [57:28<33:17,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2716/4288 [57:29<33:16,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2716/4288 [57:29<33:16,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2717/4288 [57:30<33:15,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2717/4288 [57:30<33:15,  1.27s/it, avr_loss=0.0902]
steps:  63%|██████▎   | 2718/4288 [57:32<33:14,  1.27s/it, avr_loss=0.0902]
steps:  63%|██████▎   | 2718/4288 [57:32<33:14,  1.27s/it, avr_loss=0.0902]
steps:  63%|██████▎   | 2719/4288 [57:33<33:12,  1.27s/it, avr_loss=0.0902]
steps:  63%|██████▎   | 2719/4288 [57:33<33:12,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2720/4288 [57:34<33:11,  1.27s/it, avr_loss=0.0903]
steps:  63%|██████▎   | 2720/4288 [57:34<33:11,  1.27s/it, avr_loss=0.0906]
steps:  63%|██████▎   | 2721/4288 [57:36<33:10,  1.27s/it, avr_loss=0.0906]
steps:  63%|██████▎   | 2721/4288 [57:36<33:10,  1.27s/it, avr_loss=0.0906]
steps:  63%|██████▎   | 2722/4288 [57:37<33:09,  1.27s/it, avr_loss=0.0906]
steps:  63%|██████▎   | 2722/4288 [57:37<33:09,  1.27s/it, avr_loss=0.0905]
steps:  64%|██████▎   | 2723/4288 [57:38<33:07,  1.27s/it, avr_loss=0.0905]
steps:  64%|██████▎   | 2723/4288 [57:38<33:07,  1.27s/it, avr_loss=0.0905]
steps:  64%|██████▎   | 2724/4288 [57:39<33:06,  1.27s/it, avr_loss=0.0905]
steps:  64%|██████▎   | 2724/4288 [57:39<33:06,  1.27s/it, avr_loss=0.0909]
steps:  64%|██████▎   | 2725/4288 [57:41<33:05,  1.27s/it, avr_loss=0.0909]
steps:  64%|██████▎   | 2725/4288 [57:41<33:05,  1.27s/it, avr_loss=0.0912]
steps:  64%|██████▎   | 2726/4288 [57:42<33:04,  1.27s/it, avr_loss=0.0912]
steps:  64%|██████▎   | 2726/4288 [57:42<33:04,  1.27s/it, avr_loss=0.0912]
steps:  64%|██████▎   | 2727/4288 [57:43<33:02,  1.27s/it, avr_loss=0.0912]
steps:  64%|██████▎   | 2727/4288 [57:43<33:02,  1.27s/it, avr_loss=0.0904]
steps:  64%|██████▎   | 2728/4288 [57:45<33:01,  1.27s/it, avr_loss=0.0904]
steps:  64%|██████▎   | 2728/4288 [57:45<33:01,  1.27s/it, avr_loss=0.0902]
steps:  64%|██████▎   | 2729/4288 [57:46<33:00,  1.27s/it, avr_loss=0.0902]
steps:  64%|██████▎   | 2729/4288 [57:46<33:00,  1.27s/it, avr_loss=0.0903]
steps:  64%|██████▎   | 2730/4288 [57:47<32:58,  1.27s/it, avr_loss=0.0903]
steps:  64%|██████▎   | 2730/4288 [57:47<32:58,  1.27s/it, avr_loss=0.0904]
steps:  64%|██████▎   | 2731/4288 [57:48<32:57,  1.27s/it, avr_loss=0.0904]
steps:  64%|██████▎   | 2731/4288 [57:48<32:57,  1.27s/it, avr_loss=0.0903]
steps:  64%|██████▎   | 2732/4288 [57:49<32:56,  1.27s/it, avr_loss=0.0903]
steps:  64%|██████▎   | 2732/4288 [57:49<32:56,  1.27s/it, avr_loss=0.0904]
steps:  64%|██████▎   | 2733/4288 [57:51<32:55,  1.27s/it, avr_loss=0.0904]
steps:  64%|██████▎   | 2733/4288 [57:51<32:55,  1.27s/it, avr_loss=0.0906]
steps:  64%|██████▍   | 2734/4288 [57:52<32:53,  1.27s/it, avr_loss=0.0906]
steps:  64%|██████▍   | 2734/4288 [57:52<32:53,  1.27s/it, avr_loss=0.0907]
steps:  64%|██████▍   | 2735/4288 [57:53<32:52,  1.27s/it, avr_loss=0.0907]
steps:  64%|██████▍   | 2735/4288 [57:53<32:52,  1.27s/it, avr_loss=0.0901]
steps:  64%|██████▍   | 2736/4288 [57:55<32:51,  1.27s/it, avr_loss=0.0901]
steps:  64%|██████▍   | 2736/4288 [57:55<32:51,  1.27s/it, avr_loss=0.0901]
steps:  64%|██████▍   | 2737/4288 [57:56<32:49,  1.27s/it, avr_loss=0.0901]
steps:  64%|██████▍   | 2737/4288 [57:56<32:49,  1.27s/it, avr_loss=0.0902]
steps:  64%|██████▍   | 2738/4288 [57:57<32:48,  1.27s/it, avr_loss=0.0902]
steps:  64%|██████▍   | 2738/4288 [57:57<32:48,  1.27s/it, avr_loss=0.0902]
steps:  64%|██████▍   | 2739/4288 [57:59<32:47,  1.27s/it, avr_loss=0.0902]
steps:  64%|██████▍   | 2739/4288 [57:59<32:47,  1.27s/it, avr_loss=0.0897]
steps:  64%|██████▍   | 2740/4288 [58:00<32:46,  1.27s/it, avr_loss=0.0897]
steps:  64%|██████▍   | 2740/4288 [58:00<32:46,  1.27s/it, avr_loss=0.0896]
steps:  64%|██████▍   | 2741/4288 [58:01<32:44,  1.27s/it, avr_loss=0.0896]
steps:  64%|██████▍   | 2741/4288 [58:01<32:44,  1.27s/it, avr_loss=0.0896]
steps:  64%|██████▍   | 2742/4288 [58:02<32:43,  1.27s/it, avr_loss=0.0896]
steps:  64%|██████▍   | 2742/4288 [58:02<32:43,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2743/4288 [58:04<32:42,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2743/4288 [58:04<32:42,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2744/4288 [58:05<32:41,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2744/4288 [58:05<32:41,  1.27s/it, avr_loss=0.0895]
steps:  64%|██████▍   | 2745/4288 [58:06<32:39,  1.27s/it, avr_loss=0.0895]
steps:  64%|██████▍   | 2745/4288 [58:06<32:39,  1.27s/it, avr_loss=0.0891]
steps:  64%|██████▍   | 2746/4288 [58:08<32:38,  1.27s/it, avr_loss=0.0891]
steps:  64%|██████▍   | 2746/4288 [58:08<32:38,  1.27s/it, avr_loss=0.0891]
steps:  64%|██████▍   | 2747/4288 [58:09<32:37,  1.27s/it, avr_loss=0.0891]
steps:  64%|██████▍   | 2747/4288 [58:09<32:37,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2748/4288 [58:10<32:36,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2748/4288 [58:10<32:36,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2749/4288 [58:11<32:34,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2749/4288 [58:11<32:34,  1.27s/it, avr_loss=0.089] 
steps:  64%|██████▍   | 2750/4288 [58:13<32:33,  1.27s/it, avr_loss=0.089]
steps:  64%|██████▍   | 2750/4288 [58:13<32:33,  1.27s/it, avr_loss=0.0894]
steps:  64%|██████▍   | 2751/4288 [58:14<32:32,  1.27s/it, avr_loss=0.0894]
steps:  64%|██████▍   | 2751/4288 [58:14<32:32,  1.27s/it, avr_loss=0.0894]
steps:  64%|██████▍   | 2752/4288 [58:15<32:31,  1.27s/it, avr_loss=0.0894]
steps:  64%|██████▍   | 2752/4288 [58:15<32:31,  1.27s/it, avr_loss=0.0893]
steps:  64%|██████▍   | 2753/4288 [58:17<32:29,  1.27s/it, avr_loss=0.0893]
steps:  64%|██████▍   | 2753/4288 [58:17<32:29,  1.27s/it, avr_loss=0.0895]
steps:  64%|██████▍   | 2754/4288 [58:18<32:28,  1.27s/it, avr_loss=0.0895]
steps:  64%|██████▍   | 2754/4288 [58:18<32:28,  1.27s/it, avr_loss=0.0897]
steps:  64%|██████▍   | 2755/4288 [58:19<32:27,  1.27s/it, avr_loss=0.0897]
steps:  64%|██████▍   | 2755/4288 [58:19<32:27,  1.27s/it, avr_loss=0.0896]
steps:  64%|██████▍   | 2756/4288 [58:20<32:26,  1.27s/it, avr_loss=0.0896]
steps:  64%|██████▍   | 2756/4288 [58:20<32:26,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2757/4288 [58:22<32:24,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2757/4288 [58:22<32:24,  1.27s/it, avr_loss=0.0894]
steps:  64%|██████▍   | 2758/4288 [58:23<32:23,  1.27s/it, avr_loss=0.0894]
steps:  64%|██████▍   | 2758/4288 [58:23<32:23,  1.27s/it, avr_loss=0.0894]
steps:  64%|██████▍   | 2759/4288 [58:24<32:22,  1.27s/it, avr_loss=0.0894]
steps:  64%|██████▍   | 2759/4288 [58:24<32:22,  1.27s/it, avr_loss=0.0894]
steps:  64%|██████▍   | 2760/4288 [58:25<32:20,  1.27s/it, avr_loss=0.0894]
steps:  64%|██████▍   | 2760/4288 [58:25<32:20,  1.27s/it, avr_loss=0.0893]
steps:  64%|██████▍   | 2761/4288 [58:26<32:19,  1.27s/it, avr_loss=0.0893]
steps:  64%|██████▍   | 2761/4288 [58:26<32:19,  1.27s/it, avr_loss=0.0893]
steps:  64%|██████▍   | 2762/4288 [58:28<32:18,  1.27s/it, avr_loss=0.0893]
steps:  64%|██████▍   | 2762/4288 [58:28<32:18,  1.27s/it, avr_loss=0.0891]
steps:  64%|██████▍   | 2763/4288 [58:29<32:17,  1.27s/it, avr_loss=0.0891]
steps:  64%|██████▍   | 2763/4288 [58:29<32:17,  1.27s/it, avr_loss=0.0891]
steps:  64%|██████▍   | 2764/4288 [58:30<32:15,  1.27s/it, avr_loss=0.0891]
steps:  64%|██████▍   | 2764/4288 [58:30<32:15,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2765/4288 [58:31<32:14,  1.27s/it, avr_loss=0.0892]
steps:  64%|██████▍   | 2765/4288 [58:31<32:14,  1.27s/it, avr_loss=0.0886]
steps:  65%|██████▍   | 2766/4288 [58:33<32:13,  1.27s/it, avr_loss=0.0886]
steps:  65%|██████▍   | 2766/4288 [58:33<32:13,  1.27s/it, avr_loss=0.0887]
steps:  65%|██████▍   | 2767/4288 [58:34<32:11,  1.27s/it, avr_loss=0.0887]
steps:  65%|██████▍   | 2767/4288 [58:34<32:11,  1.27s/it, avr_loss=0.0887]
steps:  65%|██████▍   | 2768/4288 [58:35<32:10,  1.27s/it, avr_loss=0.0887]
steps:  65%|██████▍   | 2768/4288 [58:35<32:10,  1.27s/it, avr_loss=0.0887]
steps:  65%|██████▍   | 2769/4288 [58:37<32:09,  1.27s/it, avr_loss=0.0887]
steps:  65%|██████▍   | 2769/4288 [58:37<32:09,  1.27s/it, avr_loss=0.0887]
steps:  65%|██████▍   | 2770/4288 [58:38<32:08,  1.27s/it, avr_loss=0.0887]
steps:  65%|██████▍   | 2770/4288 [58:38<32:08,  1.27s/it, avr_loss=0.0879]
steps:  65%|██████▍   | 2771/4288 [58:39<32:06,  1.27s/it, avr_loss=0.0879]
steps:  65%|██████▍   | 2771/4288 [58:39<32:06,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▍   | 2772/4288 [58:41<32:05,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▍   | 2772/4288 [58:41<32:05,  1.27s/it, avr_loss=0.0879]
steps:  65%|██████▍   | 2773/4288 [58:42<32:04,  1.27s/it, avr_loss=0.0879]
steps:  65%|██████▍   | 2773/4288 [58:42<32:04,  1.27s/it, avr_loss=0.0879]
steps:  65%|██████▍   | 2774/4288 [58:43<32:03,  1.27s/it, avr_loss=0.0879]
steps:  65%|██████▍   | 2774/4288 [58:43<32:03,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▍   | 2775/4288 [58:44<32:01,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▍   | 2775/4288 [58:44<32:01,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▍   | 2776/4288 [58:46<32:00,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▍   | 2776/4288 [58:46<32:00,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▍   | 2777/4288 [58:47<31:59,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▍   | 2777/4288 [58:47<31:59,  1.27s/it, avr_loss=0.0879]
steps:  65%|██████▍   | 2778/4288 [58:48<31:58,  1.27s/it, avr_loss=0.0879]
steps:  65%|██████▍   | 2778/4288 [58:48<31:58,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▍   | 2779/4288 [58:50<31:56,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▍   | 2779/4288 [58:50<31:56,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▍   | 2780/4288 [58:51<31:55,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▍   | 2780/4288 [58:51<31:55,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▍   | 2781/4288 [58:52<31:54,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▍   | 2781/4288 [58:52<31:54,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▍   | 2782/4288 [58:53<31:53,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▍   | 2782/4288 [58:53<31:53,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▍   | 2783/4288 [58:55<31:51,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▍   | 2783/4288 [58:55<31:51,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▍   | 2784/4288 [58:55<31:50,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▍   | 2784/4288 [58:55<31:50,  1.27s/it, avr_loss=0.0875]
steps:  65%|██████▍   | 2785/4288 [58:57<31:48,  1.27s/it, avr_loss=0.0875]
steps:  65%|██████▍   | 2785/4288 [58:57<31:48,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▍   | 2786/4288 [58:58<31:47,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▍   | 2786/4288 [58:58<31:47,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▍   | 2787/4288 [58:59<31:46,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▍   | 2787/4288 [58:59<31:46,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2788/4288 [59:00<31:44,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2788/4288 [59:00<31:44,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2789/4288 [59:01<31:43,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2789/4288 [59:01<31:43,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2790/4288 [59:03<31:42,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2790/4288 [59:03<31:42,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▌   | 2791/4288 [59:04<31:41,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▌   | 2791/4288 [59:04<31:41,  1.27s/it, avr_loss=0.0875]
steps:  65%|██████▌   | 2792/4288 [59:05<31:39,  1.27s/it, avr_loss=0.0875]
steps:  65%|██████▌   | 2792/4288 [59:05<31:39,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2793/4288 [59:06<31:38,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2793/4288 [59:06<31:38,  1.27s/it, avr_loss=0.0875]
steps:  65%|██████▌   | 2794/4288 [59:08<31:37,  1.27s/it, avr_loss=0.0875]
steps:  65%|██████▌   | 2794/4288 [59:08<31:37,  1.27s/it, avr_loss=0.0875]
steps:  65%|██████▌   | 2795/4288 [59:09<31:35,  1.27s/it, avr_loss=0.0875]
steps:  65%|██████▌   | 2795/4288 [59:09<31:35,  1.27s/it, avr_loss=0.0874]
steps:  65%|██████▌   | 2796/4288 [59:10<31:34,  1.27s/it, avr_loss=0.0874]
steps:  65%|██████▌   | 2796/4288 [59:10<31:34,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2797/4288 [59:11<31:33,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2797/4288 [59:11<31:33,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2798/4288 [59:13<31:32,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2798/4288 [59:13<31:32,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▌   | 2799/4288 [59:14<31:30,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▌   | 2799/4288 [59:14<31:30,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▌   | 2800/4288 [59:15<31:29,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▌   | 2800/4288 [59:15<31:29,  1.27s/it, avr_loss=0.0875]
steps:  65%|██████▌   | 2801/4288 [59:16<31:28,  1.27s/it, avr_loss=0.0875]
steps:  65%|██████▌   | 2801/4288 [59:16<31:28,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2802/4288 [59:18<31:26,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2802/4288 [59:18<31:26,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2803/4288 [59:19<31:25,  1.27s/it, avr_loss=0.0877]
steps:  65%|██████▌   | 2803/4288 [59:19<31:25,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▌   | 2804/4288 [59:20<31:24,  1.27s/it, avr_loss=0.0876]
steps:  65%|██████▌   | 2804/4288 [59:20<31:24,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▌   | 2805/4288 [59:21<31:23,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▌   | 2805/4288 [59:21<31:23,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▌   | 2806/4288 [59:23<31:21,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▌   | 2806/4288 [59:23<31:21,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▌   | 2807/4288 [59:24<31:20,  1.27s/it, avr_loss=0.0878]
steps:  65%|██████▌   | 2807/4288 [59:24<31:20,  1.27s/it, avr_loss=0.0881]
steps:  65%|██████▌   | 2808/4288 [59:25<31:19,  1.27s/it, avr_loss=0.0881]
steps:  65%|██████▌   | 2808/4288 [59:25<31:19,  1.27s/it, avr_loss=0.0882]
steps:  66%|██████▌   | 2809/4288 [59:26<31:17,  1.27s/it, avr_loss=0.0882]
steps:  66%|██████▌   | 2809/4288 [59:26<31:17,  1.27s/it, avr_loss=0.0882]
steps:  66%|██████▌   | 2810/4288 [59:28<31:16,  1.27s/it, avr_loss=0.0882]
steps:  66%|██████▌   | 2810/4288 [59:28<31:16,  1.27s/it, avr_loss=0.0884]
steps:  66%|██████▌   | 2811/4288 [59:29<31:15,  1.27s/it, avr_loss=0.0884]
steps:  66%|██████▌   | 2811/4288 [59:29<31:15,  1.27s/it, avr_loss=0.0885]
steps:  66%|██████▌   | 2812/4288 [59:30<31:14,  1.27s/it, avr_loss=0.0885]
steps:  66%|██████▌   | 2812/4288 [59:30<31:14,  1.27s/it, avr_loss=0.0885]
steps:  66%|██████▌   | 2813/4288 [59:31<31:12,  1.27s/it, avr_loss=0.0885]
steps:  66%|██████▌   | 2813/4288 [59:31<31:12,  1.27s/it, avr_loss=0.0876]
steps:  66%|██████▌   | 2814/4288 [59:33<31:11,  1.27s/it, avr_loss=0.0876]
steps:  66%|██████▌   | 2814/4288 [59:33<31:11,  1.27s/it, avr_loss=0.0876]
steps:  66%|██████▌   | 2815/4288 [59:34<31:10,  1.27s/it, avr_loss=0.0876]
steps:  66%|██████▌   | 2815/4288 [59:34<31:10,  1.27s/it, avr_loss=0.0877]
steps:  66%|██████▌   | 2816/4288 [59:35<31:09,  1.27s/it, avr_loss=0.0877]
steps:  66%|██████▌   | 2816/4288 [59:35<31:09,  1.27s/it, avr_loss=0.0876]
steps:  66%|██████▌   | 2817/4288 [59:37<31:07,  1.27s/it, avr_loss=0.0876]
steps:  66%|██████▌   | 2817/4288 [59:37<31:07,  1.27s/it, avr_loss=0.0875]
steps:  66%|██████▌   | 2818/4288 [59:38<31:06,  1.27s/it, avr_loss=0.0875]
steps:  66%|██████▌   | 2818/4288 [59:38<31:06,  1.27s/it, avr_loss=0.0874]
steps:  66%|██████▌   | 2819/4288 [59:39<31:05,  1.27s/it, avr_loss=0.0874]
steps:  66%|██████▌   | 2819/4288 [59:39<31:05,  1.27s/it, avr_loss=0.0878]
steps:  66%|██████▌   | 2820/4288 [59:40<31:03,  1.27s/it, avr_loss=0.0878]
steps:  66%|██████▌   | 2820/4288 [59:40<31:03,  1.27s/it, avr_loss=0.0878]
steps:  66%|██████▌   | 2821/4288 [59:41<31:02,  1.27s/it, avr_loss=0.0878]
steps:  66%|██████▌   | 2821/4288 [59:41<31:02,  1.27s/it, avr_loss=0.0878]
steps:  66%|██████▌   | 2822/4288 [59:43<31:01,  1.27s/it, avr_loss=0.0878]
steps:  66%|██████▌   | 2822/4288 [59:43<31:01,  1.27s/it, avr_loss=0.0865]
steps:  66%|██████▌   | 2823/4288 [59:44<31:00,  1.27s/it, avr_loss=0.0865]
steps:  66%|██████▌   | 2823/4288 [59:44<31:00,  1.27s/it, avr_loss=0.0865]
steps:  66%|██████▌   | 2824/4288 [59:45<30:58,  1.27s/it, avr_loss=0.0865]
steps:  66%|██████▌   | 2824/4288 [59:45<30:58,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▌   | 2825/4288 [59:46<30:57,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▌   | 2825/4288 [59:46<30:57,  1.27s/it, avr_loss=0.0869]
steps:  66%|██████▌   | 2826/4288 [59:48<30:56,  1.27s/it, avr_loss=0.0869]
steps:  66%|██████▌   | 2826/4288 [59:48<30:56,  1.27s/it, avr_loss=0.0869]
steps:  66%|██████▌   | 2827/4288 [59:49<30:54,  1.27s/it, avr_loss=0.0869]
steps:  66%|██████▌   | 2827/4288 [59:49<30:54,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▌   | 2828/4288 [59:50<30:53,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▌   | 2828/4288 [59:50<30:53,  1.27s/it, avr_loss=0.0866]
steps:  66%|██████▌   | 2829/4288 [59:51<30:52,  1.27s/it, avr_loss=0.0866]
steps:  66%|██████▌   | 2829/4288 [59:51<30:52,  1.27s/it, avr_loss=0.0865]
steps:  66%|██████▌   | 2830/4288 [59:53<30:51,  1.27s/it, avr_loss=0.0865]
steps:  66%|██████▌   | 2830/4288 [59:53<30:51,  1.27s/it, avr_loss=0.0869]
steps:  66%|██████▌   | 2831/4288 [59:54<30:49,  1.27s/it, avr_loss=0.0869]
steps:  66%|██████▌   | 2831/4288 [59:54<30:49,  1.27s/it, avr_loss=0.0869]
steps:  66%|██████▌   | 2832/4288 [59:55<30:48,  1.27s/it, avr_loss=0.0869]
steps:  66%|██████▌   | 2832/4288 [59:55<30:48,  1.27s/it, avr_loss=0.0866]
steps:  66%|██████▌   | 2833/4288 [59:56<30:47,  1.27s/it, avr_loss=0.0866]
steps:  66%|██████▌   | 2833/4288 [59:56<30:47,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▌   | 2834/4288 [59:57<30:45,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▌   | 2834/4288 [59:57<30:45,  1.27s/it, avr_loss=0.0864]
steps:  66%|██████▌   | 2835/4288 [59:59<30:44,  1.27s/it, avr_loss=0.0864]
steps:  66%|██████▌   | 2835/4288 [59:59<30:44,  1.27s/it, avr_loss=0.0864]
steps:  66%|██████▌   | 2836/4288 [1:00:00<30:43,  1.27s/it, avr_loss=0.0864]
steps:  66%|██████▌   | 2836/4288 [1:00:00<30:43,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▌   | 2837/4288 [1:00:01<30:42,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▌   | 2837/4288 [1:00:01<30:42,  1.27s/it, avr_loss=0.0866]
steps:  66%|██████▌   | 2838/4288 [1:00:03<30:40,  1.27s/it, avr_loss=0.0866]
steps:  66%|██████▌   | 2838/4288 [1:00:03<30:40,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▌   | 2839/4288 [1:00:04<30:39,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▌   | 2839/4288 [1:00:04<30:39,  1.27s/it, avr_loss=0.0866]
steps:  66%|██████▌   | 2840/4288 [1:00:05<30:38,  1.27s/it, avr_loss=0.0866]
steps:  66%|██████▌   | 2840/4288 [1:00:05<30:38,  1.27s/it, avr_loss=0.0868]
steps:  66%|██████▋   | 2841/4288 [1:00:07<30:37,  1.27s/it, avr_loss=0.0868]
steps:  66%|██████▋   | 2841/4288 [1:00:07<30:37,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▋   | 2842/4288 [1:00:08<30:35,  1.27s/it, avr_loss=0.0867]
steps:  66%|██████▋   | 2842/4288 [1:00:08<30:35,  1.27s/it, avr_loss=0.087] 
steps:  66%|██████▋   | 2843/4288 [1:00:09<30:34,  1.27s/it, avr_loss=0.087]
steps:  66%|██████▋   | 2843/4288 [1:00:09<30:34,  1.27s/it, avr_loss=0.087]
steps:  66%|██████▋   | 2844/4288 [1:00:10<30:33,  1.27s/it, avr_loss=0.087]
steps:  66%|██████▋   | 2844/4288 [1:00:10<30:33,  1.27s/it, avr_loss=0.0869]
steps:  66%|██████▋   | 2845/4288 [1:00:12<30:32,  1.27s/it, avr_loss=0.0869]
steps:  66%|██████▋   | 2845/4288 [1:00:12<30:32,  1.27s/it, avr_loss=0.0871]
steps:  66%|██████▋   | 2846/4288 [1:00:13<30:30,  1.27s/it, avr_loss=0.0871]
steps:  66%|██████▋   | 2846/4288 [1:00:13<30:30,  1.27s/it, avr_loss=0.087] 
steps:  66%|██████▋   | 2847/4288 [1:00:14<30:29,  1.27s/it, avr_loss=0.087]
steps:  66%|██████▋   | 2847/4288 [1:00:14<30:29,  1.27s/it, avr_loss=0.0872]
steps:  66%|██████▋   | 2848/4288 [1:00:15<30:28,  1.27s/it, avr_loss=0.0872]
steps:  66%|██████▋   | 2848/4288 [1:00:15<30:28,  1.27s/it, avr_loss=0.0873]
steps:  66%|██████▋   | 2849/4288 [1:00:17<30:26,  1.27s/it, avr_loss=0.0873]
steps:  66%|██████▋   | 2849/4288 [1:00:17<30:26,  1.27s/it, avr_loss=0.0872]
steps:  66%|██████▋   | 2850/4288 [1:00:18<30:25,  1.27s/it, avr_loss=0.0872]
steps:  66%|██████▋   | 2850/4288 [1:00:18<30:25,  1.27s/it, avr_loss=0.0873]
steps:  66%|██████▋   | 2851/4288 [1:00:19<30:24,  1.27s/it, avr_loss=0.0873]
steps:  66%|██████▋   | 2851/4288 [1:00:19<30:24,  1.27s/it, avr_loss=0.0871]
steps:  67%|██████▋   | 2852/4288 [1:00:20<30:23,  1.27s/it, avr_loss=0.0871]
steps:  67%|██████▋   | 2852/4288 [1:00:20<30:23,  1.27s/it, avr_loss=0.0868]
steps:  67%|██████▋   | 2853/4288 [1:00:22<30:21,  1.27s/it, avr_loss=0.0868]
steps:  67%|██████▋   | 2853/4288 [1:00:22<30:21,  1.27s/it, avr_loss=0.0866]
steps:  67%|██████▋   | 2854/4288 [1:00:23<30:20,  1.27s/it, avr_loss=0.0866]
steps:  67%|██████▋   | 2854/4288 [1:00:23<30:20,  1.27s/it, avr_loss=0.0866]
steps:  67%|██████▋   | 2855/4288 [1:00:24<30:19,  1.27s/it, avr_loss=0.0866]
steps:  67%|██████▋   | 2855/4288 [1:00:24<30:19,  1.27s/it, avr_loss=0.0866]
steps:  67%|██████▋   | 2856/4288 [1:00:26<30:18,  1.27s/it, avr_loss=0.0866]
steps:  67%|██████▋   | 2856/4288 [1:00:26<30:18,  1.27s/it, avr_loss=0.0866]
steps:  67%|██████▋   | 2857/4288 [1:00:27<30:16,  1.27s/it, avr_loss=0.0866]
steps:  67%|██████▋   | 2857/4288 [1:00:27<30:16,  1.27s/it, avr_loss=0.0865]
steps:  67%|██████▋   | 2858/4288 [1:00:28<30:15,  1.27s/it, avr_loss=0.0865]
steps:  67%|██████▋   | 2858/4288 [1:00:28<30:15,  1.27s/it, avr_loss=0.0861]
steps:  67%|██████▋   | 2859/4288 [1:00:29<30:14,  1.27s/it, avr_loss=0.0861]
steps:  67%|██████▋   | 2859/4288 [1:00:29<30:14,  1.27s/it, avr_loss=0.086] 
steps:  67%|██████▋   | 2860/4288 [1:00:31<30:13,  1.27s/it, avr_loss=0.086]
steps:  67%|██████▋   | 2860/4288 [1:00:31<30:13,  1.27s/it, avr_loss=0.086]
steps:  67%|██████▋   | 2861/4288 [1:00:32<30:11,  1.27s/it, avr_loss=0.086]
steps:  67%|██████▋   | 2861/4288 [1:00:32<30:11,  1.27s/it, avr_loss=0.0861]
steps:  67%|██████▋   | 2862/4288 [1:00:33<30:10,  1.27s/it, avr_loss=0.0861]
steps:  67%|██████▋   | 2862/4288 [1:00:33<30:10,  1.27s/it, avr_loss=0.0861]
steps:  67%|██████▋   | 2863/4288 [1:00:34<30:09,  1.27s/it, avr_loss=0.0861]
steps:  67%|██████▋   | 2863/4288 [1:00:34<30:09,  1.27s/it, avr_loss=0.0863]
steps:  67%|██████▋   | 2864/4288 [1:00:36<30:07,  1.27s/it, avr_loss=0.0863]
steps:  67%|██████▋   | 2864/4288 [1:00:36<30:07,  1.27s/it, avr_loss=0.0864]
steps:  67%|██████▋   | 2865/4288 [1:00:37<30:06,  1.27s/it, avr_loss=0.0864]
steps:  67%|██████▋   | 2865/4288 [1:00:37<30:06,  1.27s/it, avr_loss=0.0863]
steps:  67%|██████▋   | 2866/4288 [1:00:38<30:05,  1.27s/it, avr_loss=0.0863]
steps:  67%|██████▋   | 2866/4288 [1:00:38<30:05,  1.27s/it, avr_loss=0.0867]
steps:  67%|██████▋   | 2867/4288 [1:00:40<30:04,  1.27s/it, avr_loss=0.0867]
steps:  67%|██████▋   | 2867/4288 [1:00:40<30:04,  1.27s/it, avr_loss=0.0865]
steps:  67%|██████▋   | 2868/4288 [1:00:41<30:02,  1.27s/it, avr_loss=0.0865]
steps:  67%|██████▋   | 2868/4288 [1:00:41<30:02,  1.27s/it, avr_loss=0.0865]
steps:  67%|██████▋   | 2869/4288 [1:00:42<30:01,  1.27s/it, avr_loss=0.0865]
steps:  67%|██████▋   | 2869/4288 [1:00:42<30:01,  1.27s/it, avr_loss=0.0863]
steps:  67%|██████▋   | 2870/4288 [1:00:43<30:00,  1.27s/it, avr_loss=0.0863]
steps:  67%|██████▋   | 2870/4288 [1:00:43<30:00,  1.27s/it, avr_loss=0.0862]
steps:  67%|██████▋   | 2871/4288 [1:00:45<29:59,  1.27s/it, avr_loss=0.0862]
steps:  67%|██████▋   | 2871/4288 [1:00:45<29:59,  1.27s/it, avr_loss=0.0864]
steps:  67%|██████▋   | 2872/4288 [1:00:46<29:57,  1.27s/it, avr_loss=0.0864]
steps:  67%|██████▋   | 2872/4288 [1:00:46<29:57,  1.27s/it, avr_loss=0.0864]
steps:  67%|██████▋   | 2873/4288 [1:00:47<29:56,  1.27s/it, avr_loss=0.0864]
steps:  67%|██████▋   | 2873/4288 [1:00:47<29:56,  1.27s/it, avr_loss=0.0865]
steps:  67%|██████▋   | 2874/4288 [1:00:48<29:55,  1.27s/it, avr_loss=0.0865]
steps:  67%|██████▋   | 2874/4288 [1:00:48<29:55,  1.27s/it, avr_loss=0.0867]
steps:  67%|██████▋   | 2875/4288 [1:00:50<29:53,  1.27s/it, avr_loss=0.0867]
steps:  67%|██████▋   | 2875/4288 [1:00:50<29:53,  1.27s/it, avr_loss=0.0857]
steps:  67%|██████▋   | 2876/4288 [1:00:51<29:52,  1.27s/it, avr_loss=0.0857]
steps:  67%|██████▋   | 2876/4288 [1:00:51<29:52,  1.27s/it, avr_loss=0.0855]
steps:  67%|██████▋   | 2877/4288 [1:00:52<29:51,  1.27s/it, avr_loss=0.0855]
steps:  67%|██████▋   | 2877/4288 [1:00:52<29:51,  1.27s/it, avr_loss=0.0856]
steps:  67%|██████▋   | 2878/4288 [1:00:53<29:50,  1.27s/it, avr_loss=0.0856]
steps:  67%|██████▋   | 2878/4288 [1:00:53<29:50,  1.27s/it, avr_loss=0.0853]
steps:  67%|██████▋   | 2879/4288 [1:00:55<29:48,  1.27s/it, avr_loss=0.0853]
steps:  67%|██████▋   | 2879/4288 [1:00:55<29:48,  1.27s/it, avr_loss=0.0852]
steps:  67%|██████▋   | 2880/4288 [1:00:56<29:47,  1.27s/it, avr_loss=0.0852]
steps:  67%|██████▋   | 2880/4288 [1:00:56<29:47,  1.27s/it, avr_loss=0.0846]
steps:  67%|██████▋   | 2881/4288 [1:00:57<29:46,  1.27s/it, avr_loss=0.0846]
steps:  67%|██████▋   | 2881/4288 [1:00:57<29:46,  1.27s/it, avr_loss=0.0845]
steps:  67%|██████▋   | 2882/4288 [1:00:58<29:45,  1.27s/it, avr_loss=0.0845]
steps:  67%|██████▋   | 2882/4288 [1:00:58<29:45,  1.27s/it, avr_loss=0.0846]
steps:  67%|██████▋   | 2883/4288 [1:01:00<29:43,  1.27s/it, avr_loss=0.0846]
steps:  67%|██████▋   | 2883/4288 [1:01:00<29:43,  1.27s/it, avr_loss=0.0846]
steps:  67%|██████▋   | 2884/4288 [1:01:01<29:42,  1.27s/it, avr_loss=0.0846]
steps:  67%|██████▋   | 2884/4288 [1:01:01<29:42,  1.27s/it, avr_loss=0.0845]
steps:  67%|██████▋   | 2885/4288 [1:01:02<29:41,  1.27s/it, avr_loss=0.0845]
steps:  67%|██████▋   | 2885/4288 [1:01:02<29:41,  1.27s/it, avr_loss=0.0843]
steps:  67%|██████▋   | 2886/4288 [1:01:04<29:40,  1.27s/it, avr_loss=0.0843]
steps:  67%|██████▋   | 2886/4288 [1:01:04<29:40,  1.27s/it, avr_loss=0.0846]
steps:  67%|██████▋   | 2887/4288 [1:01:05<29:38,  1.27s/it, avr_loss=0.0846]
steps:  67%|██████▋   | 2887/4288 [1:01:05<29:38,  1.27s/it, avr_loss=0.0845]
steps:  67%|██████▋   | 2888/4288 [1:01:06<29:37,  1.27s/it, avr_loss=0.0845]
steps:  67%|██████▋   | 2888/4288 [1:01:06<29:37,  1.27s/it, avr_loss=0.0845]
steps:  67%|██████▋   | 2889/4288 [1:01:08<29:36,  1.27s/it, avr_loss=0.0845]
steps:  67%|██████▋   | 2889/4288 [1:01:08<29:36,  1.27s/it, avr_loss=0.0848]
steps:  67%|██████▋   | 2890/4288 [1:01:09<29:35,  1.27s/it, avr_loss=0.0848]
steps:  67%|██████▋   | 2890/4288 [1:01:09<29:35,  1.27s/it, avr_loss=0.0847]
steps:  67%|██████▋   | 2891/4288 [1:01:10<29:33,  1.27s/it, avr_loss=0.0847]
steps:  67%|██████▋   | 2891/4288 [1:01:10<29:33,  1.27s/it, avr_loss=0.0845]
steps:  67%|██████▋   | 2892/4288 [1:01:12<29:32,  1.27s/it, avr_loss=0.0845]
steps:  67%|██████▋   | 2892/4288 [1:01:12<29:32,  1.27s/it, avr_loss=0.0844]
steps:  67%|██████▋   | 2893/4288 [1:01:13<29:31,  1.27s/it, avr_loss=0.0844]
steps:  67%|██████▋   | 2893/4288 [1:01:13<29:31,  1.27s/it, avr_loss=0.0844]
steps:  67%|██████▋   | 2894/4288 [1:01:14<29:30,  1.27s/it, avr_loss=0.0844]
steps:  67%|██████▋   | 2894/4288 [1:01:14<29:30,  1.27s/it, avr_loss=0.0841]
steps:  68%|██████▊   | 2895/4288 [1:01:16<29:28,  1.27s/it, avr_loss=0.0841]
steps:  68%|██████▊   | 2895/4288 [1:01:16<29:28,  1.27s/it, avr_loss=0.0839]
steps:  68%|██████▊   | 2896/4288 [1:01:17<29:27,  1.27s/it, avr_loss=0.0839]
steps:  68%|██████▊   | 2896/4288 [1:01:17<29:27,  1.27s/it, avr_loss=0.0841]
steps:  68%|██████▊   | 2897/4288 [1:01:18<29:26,  1.27s/it, avr_loss=0.0841]
steps:  68%|██████▊   | 2897/4288 [1:01:18<29:26,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2898/4288 [1:01:19<29:25,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2898/4288 [1:01:19<29:25,  1.27s/it, avr_loss=0.0841]
steps:  68%|██████▊   | 2899/4288 [1:01:21<29:23,  1.27s/it, avr_loss=0.0841]
steps:  68%|██████▊   | 2899/4288 [1:01:21<29:23,  1.27s/it, avr_loss=0.0841]
steps:  68%|██████▊   | 2900/4288 [1:01:22<29:22,  1.27s/it, avr_loss=0.0841]
steps:  68%|██████▊   | 2900/4288 [1:01:22<29:22,  1.27s/it, avr_loss=0.0841]
steps:  68%|██████▊   | 2901/4288 [1:01:23<29:21,  1.27s/it, avr_loss=0.0841]
steps:  68%|██████▊   | 2901/4288 [1:01:23<29:21,  1.27s/it, avr_loss=0.0842]
steps:  68%|██████▊   | 2902/4288 [1:01:25<29:19,  1.27s/it, avr_loss=0.0842]
steps:  68%|██████▊   | 2902/4288 [1:01:25<29:19,  1.27s/it, avr_loss=0.0845]
steps:  68%|██████▊   | 2903/4288 [1:01:26<29:18,  1.27s/it, avr_loss=0.0845]
steps:  68%|██████▊   | 2903/4288 [1:01:26<29:18,  1.27s/it, avr_loss=0.0846]
steps:  68%|██████▊   | 2904/4288 [1:01:27<29:17,  1.27s/it, avr_loss=0.0846]
steps:  68%|██████▊   | 2904/4288 [1:01:27<29:17,  1.27s/it, avr_loss=0.0846]
steps:  68%|██████▊   | 2905/4288 [1:01:28<29:16,  1.27s/it, avr_loss=0.0846]
steps:  68%|██████▊   | 2905/4288 [1:01:28<29:16,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2906/4288 [1:01:30<29:14,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2906/4288 [1:01:30<29:14,  1.27s/it, avr_loss=0.0845]
steps:  68%|██████▊   | 2907/4288 [1:01:31<29:13,  1.27s/it, avr_loss=0.0845]
steps:  68%|██████▊   | 2907/4288 [1:01:31<29:13,  1.27s/it, avr_loss=0.0842]
steps:  68%|██████▊   | 2908/4288 [1:01:32<29:12,  1.27s/it, avr_loss=0.0842]
steps:  68%|██████▊   | 2908/4288 [1:01:32<29:12,  1.27s/it, avr_loss=0.084] 
steps:  68%|██████▊   | 2909/4288 [1:01:33<29:11,  1.27s/it, avr_loss=0.084]
steps:  68%|██████▊   | 2909/4288 [1:01:33<29:11,  1.27s/it, avr_loss=0.0838]
steps:  68%|██████▊   | 2910/4288 [1:01:35<29:09,  1.27s/it, avr_loss=0.0838]
steps:  68%|██████▊   | 2910/4288 [1:01:35<29:09,  1.27s/it, avr_loss=0.0835]
steps:  68%|██████▊   | 2911/4288 [1:01:36<29:08,  1.27s/it, avr_loss=0.0835]
steps:  68%|██████▊   | 2911/4288 [1:01:36<29:08,  1.27s/it, avr_loss=0.0834]
steps:  68%|██████▊   | 2912/4288 [1:01:37<29:07,  1.27s/it, avr_loss=0.0834]
steps:  68%|██████▊   | 2912/4288 [1:01:37<29:07,  1.27s/it, avr_loss=0.0838]
steps:  68%|██████▊   | 2913/4288 [1:01:38<29:05,  1.27s/it, avr_loss=0.0838]
steps:  68%|██████▊   | 2913/4288 [1:01:38<29:05,  1.27s/it, avr_loss=0.0837]
steps:  68%|██████▊   | 2914/4288 [1:01:39<29:04,  1.27s/it, avr_loss=0.0837]
steps:  68%|██████▊   | 2914/4288 [1:01:39<29:04,  1.27s/it, avr_loss=0.0838]
steps:  68%|██████▊   | 2915/4288 [1:01:41<29:03,  1.27s/it, avr_loss=0.0838]
steps:  68%|██████▊   | 2915/4288 [1:01:41<29:03,  1.27s/it, avr_loss=0.084] 
steps:  68%|██████▊   | 2916/4288 [1:01:42<29:01,  1.27s/it, avr_loss=0.084]
steps:  68%|██████▊   | 2916/4288 [1:01:42<29:01,  1.27s/it, avr_loss=0.0839]
steps:  68%|██████▊   | 2917/4288 [1:01:43<29:00,  1.27s/it, avr_loss=0.0839]
steps:  68%|██████▊   | 2917/4288 [1:01:43<29:00,  1.27s/it, avr_loss=0.0837]
steps:  68%|██████▊   | 2918/4288 [1:01:44<28:59,  1.27s/it, avr_loss=0.0837]
steps:  68%|██████▊   | 2918/4288 [1:01:44<28:59,  1.27s/it, avr_loss=0.0836]
steps:  68%|██████▊   | 2919/4288 [1:01:46<28:58,  1.27s/it, avr_loss=0.0836]
steps:  68%|██████▊   | 2919/4288 [1:01:46<28:58,  1.27s/it, avr_loss=0.0837]
steps:  68%|██████▊   | 2920/4288 [1:01:47<28:56,  1.27s/it, avr_loss=0.0837]
steps:  68%|██████▊   | 2920/4288 [1:01:47<28:56,  1.27s/it, avr_loss=0.0837]
steps:  68%|██████▊   | 2921/4288 [1:01:48<28:55,  1.27s/it, avr_loss=0.0837]
steps:  68%|██████▊   | 2921/4288 [1:01:48<28:55,  1.27s/it, avr_loss=0.0842]
steps:  68%|██████▊   | 2922/4288 [1:01:49<28:54,  1.27s/it, avr_loss=0.0842]
steps:  68%|██████▊   | 2922/4288 [1:01:49<28:54,  1.27s/it, avr_loss=0.085] 
steps:  68%|██████▊   | 2923/4288 [1:01:51<28:53,  1.27s/it, avr_loss=0.085]
steps:  68%|██████▊   | 2923/4288 [1:01:51<28:53,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2924/4288 [1:01:52<28:51,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2924/4288 [1:01:52<28:51,  1.27s/it, avr_loss=0.0846]
steps:  68%|██████▊   | 2925/4288 [1:01:53<28:50,  1.27s/it, avr_loss=0.0846]
steps:  68%|██████▊   | 2925/4288 [1:01:53<28:50,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2926/4288 [1:01:55<28:49,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2926/4288 [1:01:55<28:49,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2927/4288 [1:01:56<28:48,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2927/4288 [1:01:56<28:48,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2928/4288 [1:01:57<28:46,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2928/4288 [1:01:57<28:46,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2929/4288 [1:01:59<28:45,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2929/4288 [1:01:59<28:45,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2930/4288 [1:02:00<28:44,  1.27s/it, avr_loss=0.0847]
steps:  68%|██████▊   | 2930/4288 [1:02:00<28:44,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2931/4288 [1:02:01<28:42,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2931/4288 [1:02:01<28:42,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2932/4288 [1:02:02<28:41,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2932/4288 [1:02:02<28:41,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2933/4288 [1:02:04<28:40,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2933/4288 [1:02:04<28:40,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2934/4288 [1:02:05<28:39,  1.27s/it, avr_loss=0.0844]
steps:  68%|██████▊   | 2934/4288 [1:02:05<28:39,  1.27s/it, avr_loss=0.0846]
steps:  68%|██████▊   | 2935/4288 [1:02:06<28:37,  1.27s/it, avr_loss=0.0846]
steps:  68%|██████▊   | 2935/4288 [1:02:06<28:37,  1.27s/it, avr_loss=0.0851]
steps:  68%|██████▊   | 2936/4288 [1:02:07<28:36,  1.27s/it, avr_loss=0.0851]
steps:  68%|██████▊   | 2936/4288 [1:02:07<28:36,  1.27s/it, avr_loss=0.0853]
steps:  68%|██████▊   | 2937/4288 [1:02:09<28:35,  1.27s/it, avr_loss=0.0853]
steps:  68%|██████▊   | 2937/4288 [1:02:09<28:35,  1.27s/it, avr_loss=0.0853]
steps:  69%|██████▊   | 2938/4288 [1:02:10<28:34,  1.27s/it, avr_loss=0.0853]
steps:  69%|██████▊   | 2938/4288 [1:02:10<28:34,  1.27s/it, avr_loss=0.0858]
steps:  69%|██████▊   | 2939/4288 [1:02:11<28:32,  1.27s/it, avr_loss=0.0858]
steps:  69%|██████▊   | 2939/4288 [1:02:11<28:32,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▊   | 2940/4288 [1:02:13<28:31,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▊   | 2940/4288 [1:02:13<28:31,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▊   | 2941/4288 [1:02:14<28:30,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▊   | 2941/4288 [1:02:14<28:30,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▊   | 2942/4288 [1:02:15<28:29,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▊   | 2942/4288 [1:02:15<28:29,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▊   | 2943/4288 [1:02:16<28:27,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▊   | 2943/4288 [1:02:16<28:27,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▊   | 2944/4288 [1:02:18<28:26,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▊   | 2944/4288 [1:02:18<28:26,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▊   | 2945/4288 [1:02:19<28:25,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▊   | 2945/4288 [1:02:19<28:25,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▊   | 2946/4288 [1:02:20<28:24,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▊   | 2946/4288 [1:02:20<28:24,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▊   | 2947/4288 [1:02:22<28:22,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▊   | 2947/4288 [1:02:22<28:22,  1.27s/it, avr_loss=0.0851]
steps:  69%|██████▉   | 2948/4288 [1:02:23<28:21,  1.27s/it, avr_loss=0.0851]
steps:  69%|██████▉   | 2948/4288 [1:02:23<28:21,  1.27s/it, avr_loss=0.0857]2026-07-24 14:38:07 INFO     epoch is incremented. current_epoch: dataset.py:464
                             11, epoch: 12                                      
2026-07-24 14:38:07 INFO     epoch is incremented. current_epoch: dataset.py:464
                             11, epoch: 12                                      

steps:  69%|██████▉   | 2949/4288 [1:02:24<28:20,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2949/4288 [1:02:24<28:20,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2950/4288 [1:02:25<28:19,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2950/4288 [1:02:25<28:19,  1.27s/it, avr_loss=0.086] 
steps:  69%|██████▉   | 2951/4288 [1:02:27<28:17,  1.27s/it, avr_loss=0.086]
steps:  69%|██████▉   | 2951/4288 [1:02:27<28:17,  1.27s/it, avr_loss=0.0858]
steps:  69%|██████▉   | 2952/4288 [1:02:28<28:16,  1.27s/it, avr_loss=0.0858]
steps:  69%|██████▉   | 2952/4288 [1:02:28<28:16,  1.27s/it, avr_loss=0.0859]
steps:  69%|██████▉   | 2953/4288 [1:02:29<28:15,  1.27s/it, avr_loss=0.0859]
steps:  69%|██████▉   | 2953/4288 [1:02:29<28:15,  1.27s/it, avr_loss=0.0859]
steps:  69%|██████▉   | 2954/4288 [1:02:31<28:13,  1.27s/it, avr_loss=0.0859]
steps:  69%|██████▉   | 2954/4288 [1:02:31<28:13,  1.27s/it, avr_loss=0.0859]
steps:  69%|██████▉   | 2955/4288 [1:02:32<28:12,  1.27s/it, avr_loss=0.0859]
steps:  69%|██████▉   | 2955/4288 [1:02:32<28:12,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2956/4288 [1:02:33<28:11,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2956/4288 [1:02:33<28:11,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▉   | 2957/4288 [1:02:34<28:10,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▉   | 2957/4288 [1:02:34<28:10,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▉   | 2958/4288 [1:02:36<28:08,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▉   | 2958/4288 [1:02:36<28:08,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▉   | 2959/4288 [1:02:37<28:07,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▉   | 2959/4288 [1:02:37<28:07,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2960/4288 [1:02:38<28:06,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2960/4288 [1:02:38<28:06,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▉   | 2961/4288 [1:02:40<28:05,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▉   | 2961/4288 [1:02:40<28:05,  1.27s/it, avr_loss=0.0854]
steps:  69%|██████▉   | 2962/4288 [1:02:41<28:03,  1.27s/it, avr_loss=0.0854]
steps:  69%|██████▉   | 2962/4288 [1:02:41<28:03,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▉   | 2963/4288 [1:02:42<28:02,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▉   | 2963/4288 [1:02:42<28:02,  1.27s/it, avr_loss=0.0854]
steps:  69%|██████▉   | 2964/4288 [1:02:43<28:01,  1.27s/it, avr_loss=0.0854]
steps:  69%|██████▉   | 2964/4288 [1:02:43<28:01,  1.27s/it, avr_loss=0.0865]
steps:  69%|██████▉   | 2965/4288 [1:02:45<27:59,  1.27s/it, avr_loss=0.0865]
steps:  69%|██████▉   | 2965/4288 [1:02:45<27:59,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2966/4288 [1:02:46<27:58,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2966/4288 [1:02:46<27:58,  1.27s/it, avr_loss=0.0862]
steps:  69%|██████▉   | 2967/4288 [1:02:47<27:57,  1.27s/it, avr_loss=0.0862]
steps:  69%|██████▉   | 2967/4288 [1:02:47<27:57,  1.27s/it, avr_loss=0.086] 
steps:  69%|██████▉   | 2968/4288 [1:02:48<27:56,  1.27s/it, avr_loss=0.086]
steps:  69%|██████▉   | 2968/4288 [1:02:48<27:56,  1.27s/it, avr_loss=0.086]
steps:  69%|██████▉   | 2969/4288 [1:02:49<27:54,  1.27s/it, avr_loss=0.086]
steps:  69%|██████▉   | 2969/4288 [1:02:49<27:54,  1.27s/it, avr_loss=0.0863]
steps:  69%|██████▉   | 2970/4288 [1:02:51<27:53,  1.27s/it, avr_loss=0.0863]
steps:  69%|██████▉   | 2970/4288 [1:02:51<27:53,  1.27s/it, avr_loss=0.0862]
steps:  69%|██████▉   | 2971/4288 [1:02:52<27:52,  1.27s/it, avr_loss=0.0862]
steps:  69%|██████▉   | 2971/4288 [1:02:52<27:52,  1.27s/it, avr_loss=0.0861]
steps:  69%|██████▉   | 2972/4288 [1:02:53<27:50,  1.27s/it, avr_loss=0.0861]
steps:  69%|██████▉   | 2972/4288 [1:02:53<27:50,  1.27s/it, avr_loss=0.0862]
steps:  69%|██████▉   | 2973/4288 [1:02:55<27:49,  1.27s/it, avr_loss=0.0862]
steps:  69%|██████▉   | 2973/4288 [1:02:55<27:49,  1.27s/it, avr_loss=0.0863]
steps:  69%|██████▉   | 2974/4288 [1:02:56<27:48,  1.27s/it, avr_loss=0.0863]
steps:  69%|██████▉   | 2974/4288 [1:02:56<27:48,  1.27s/it, avr_loss=0.0862]
steps:  69%|██████▉   | 2975/4288 [1:02:57<27:47,  1.27s/it, avr_loss=0.0862]
steps:  69%|██████▉   | 2975/4288 [1:02:57<27:47,  1.27s/it, avr_loss=0.0862]
steps:  69%|██████▉   | 2976/4288 [1:02:58<27:45,  1.27s/it, avr_loss=0.0862]
steps:  69%|██████▉   | 2976/4288 [1:02:58<27:45,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2977/4288 [1:03:00<27:44,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2977/4288 [1:03:00<27:44,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2978/4288 [1:03:01<27:43,  1.27s/it, avr_loss=0.0857]
steps:  69%|██████▉   | 2978/4288 [1:03:01<27:43,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▉   | 2979/4288 [1:03:02<27:42,  1.27s/it, avr_loss=0.0856]
steps:  69%|██████▉   | 2979/4288 [1:03:02<27:42,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▉   | 2980/4288 [1:03:04<27:40,  1.27s/it, avr_loss=0.0855]
steps:  69%|██████▉   | 2980/4288 [1:03:04<27:40,  1.27s/it, avr_loss=0.0856]
steps:  70%|██████▉   | 2981/4288 [1:03:05<27:39,  1.27s/it, avr_loss=0.0856]
steps:  70%|██████▉   | 2981/4288 [1:03:05<27:39,  1.27s/it, avr_loss=0.086] 
steps:  70%|██████▉   | 2982/4288 [1:03:06<27:38,  1.27s/it, avr_loss=0.086]
steps:  70%|██████▉   | 2982/4288 [1:03:06<27:38,  1.27s/it, avr_loss=0.0858]
steps:  70%|██████▉   | 2983/4288 [1:03:07<27:37,  1.27s/it, avr_loss=0.0858]
steps:  70%|██████▉   | 2983/4288 [1:03:07<27:37,  1.27s/it, avr_loss=0.0859]
steps:  70%|██████▉   | 2984/4288 [1:03:09<27:35,  1.27s/it, avr_loss=0.0859]
steps:  70%|██████▉   | 2984/4288 [1:03:09<27:35,  1.27s/it, avr_loss=0.0858]
steps:  70%|██████▉   | 2985/4288 [1:03:10<27:34,  1.27s/it, avr_loss=0.0858]
steps:  70%|██████▉   | 2985/4288 [1:03:10<27:34,  1.27s/it, avr_loss=0.0857]
steps:  70%|██████▉   | 2986/4288 [1:03:11<27:33,  1.27s/it, avr_loss=0.0857]
steps:  70%|██████▉   | 2986/4288 [1:03:11<27:33,  1.27s/it, avr_loss=0.0858]
steps:  70%|██████▉   | 2987/4288 [1:03:13<27:32,  1.27s/it, avr_loss=0.0858]
steps:  70%|██████▉   | 2987/4288 [1:03:13<27:32,  1.27s/it, avr_loss=0.086] 
steps:  70%|██████▉   | 2988/4288 [1:03:14<27:30,  1.27s/it, avr_loss=0.086]
steps:  70%|██████▉   | 2988/4288 [1:03:14<27:30,  1.27s/it, avr_loss=0.0861]
steps:  70%|██████▉   | 2989/4288 [1:03:15<27:29,  1.27s/it, avr_loss=0.0861]
steps:  70%|██████▉   | 2989/4288 [1:03:15<27:29,  1.27s/it, avr_loss=0.0861]
steps:  70%|██████▉   | 2990/4288 [1:03:16<27:28,  1.27s/it, avr_loss=0.0861]
steps:  70%|██████▉   | 2990/4288 [1:03:16<27:28,  1.27s/it, avr_loss=0.0862]
steps:  70%|██████▉   | 2991/4288 [1:03:18<27:26,  1.27s/it, avr_loss=0.0862]
steps:  70%|██████▉   | 2991/4288 [1:03:18<27:26,  1.27s/it, avr_loss=0.0861]
steps:  70%|██████▉   | 2992/4288 [1:03:19<27:25,  1.27s/it, avr_loss=0.0861]
steps:  70%|██████▉   | 2992/4288 [1:03:19<27:25,  1.27s/it, avr_loss=0.0857]
steps:  70%|██████▉   | 2993/4288 [1:03:20<27:24,  1.27s/it, avr_loss=0.0857]
steps:  70%|██████▉   | 2993/4288 [1:03:20<27:24,  1.27s/it, avr_loss=0.0855]
steps:  70%|██████▉   | 2994/4288 [1:03:21<27:23,  1.27s/it, avr_loss=0.0855]
steps:  70%|██████▉   | 2994/4288 [1:03:21<27:23,  1.27s/it, avr_loss=0.0856]
steps:  70%|██████▉   | 2995/4288 [1:03:23<27:21,  1.27s/it, avr_loss=0.0856]
steps:  70%|██████▉   | 2995/4288 [1:03:23<27:21,  1.27s/it, avr_loss=0.0856]
steps:  70%|██████▉   | 2996/4288 [1:03:24<27:20,  1.27s/it, avr_loss=0.0856]
steps:  70%|██████▉   | 2996/4288 [1:03:24<27:20,  1.27s/it, avr_loss=0.0858]
steps:  70%|██████▉   | 2997/4288 [1:03:25<27:19,  1.27s/it, avr_loss=0.0858]
steps:  70%|██████▉   | 2997/4288 [1:03:25<27:19,  1.27s/it, avr_loss=0.0859]
steps:  70%|██████▉   | 2998/4288 [1:03:26<27:18,  1.27s/it, avr_loss=0.0859]
steps:  70%|██████▉   | 2998/4288 [1:03:26<27:18,  1.27s/it, avr_loss=0.086] 
steps:  70%|██████▉   | 2999/4288 [1:03:28<27:16,  1.27s/it, avr_loss=0.086]
steps:  70%|██████▉   | 2999/4288 [1:03:28<27:16,  1.27s/it, avr_loss=0.086]
steps:  70%|██████▉   | 3000/4288 [1:03:29<27:15,  1.27s/it, avr_loss=0.086]
steps:  70%|██████▉   | 3000/4288 [1:03:29<27:15,  1.27s/it, avr_loss=0.0859]
steps:  70%|██████▉   | 3001/4288 [1:03:30<27:14,  1.27s/it, avr_loss=0.0859]
steps:  70%|██████▉   | 3001/4288 [1:03:30<27:14,  1.27s/it, avr_loss=0.0857]
steps:  70%|███████   | 3002/4288 [1:03:32<27:13,  1.27s/it, avr_loss=0.0857]
steps:  70%|███████   | 3002/4288 [1:03:32<27:13,  1.27s/it, avr_loss=0.0859]
steps:  70%|███████   | 3003/4288 [1:03:33<27:11,  1.27s/it, avr_loss=0.0859]
steps:  70%|███████   | 3003/4288 [1:03:33<27:11,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3004/4288 [1:03:34<27:10,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3004/4288 [1:03:34<27:10,  1.27s/it, avr_loss=0.0857]
steps:  70%|███████   | 3005/4288 [1:03:35<27:09,  1.27s/it, avr_loss=0.0857]
steps:  70%|███████   | 3005/4288 [1:03:35<27:09,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3006/4288 [1:03:37<27:07,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3006/4288 [1:03:37<27:07,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3007/4288 [1:03:38<27:06,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3007/4288 [1:03:38<27:06,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3008/4288 [1:03:39<27:05,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3008/4288 [1:03:39<27:05,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3009/4288 [1:03:41<27:04,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3009/4288 [1:03:41<27:04,  1.27s/it, avr_loss=0.0857]
steps:  70%|███████   | 3010/4288 [1:03:42<27:02,  1.27s/it, avr_loss=0.0857]
steps:  70%|███████   | 3010/4288 [1:03:42<27:02,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3011/4288 [1:03:43<27:01,  1.27s/it, avr_loss=0.0858]
steps:  70%|███████   | 3011/4288 [1:03:43<27:01,  1.27s/it, avr_loss=0.0857]
steps:  70%|███████   | 3012/4288 [1:03:44<27:00,  1.27s/it, avr_loss=0.0857]
steps:  70%|███████   | 3012/4288 [1:03:44<27:00,  1.27s/it, avr_loss=0.0856]
steps:  70%|███████   | 3013/4288 [1:03:46<26:59,  1.27s/it, avr_loss=0.0856]
steps:  70%|███████   | 3013/4288 [1:03:46<26:59,  1.27s/it, avr_loss=0.0853]
steps:  70%|███████   | 3014/4288 [1:03:47<26:57,  1.27s/it, avr_loss=0.0853]
steps:  70%|███████   | 3014/4288 [1:03:47<26:57,  1.27s/it, avr_loss=0.0852]
steps:  70%|███████   | 3015/4288 [1:03:48<26:56,  1.27s/it, avr_loss=0.0852]
steps:  70%|███████   | 3015/4288 [1:03:48<26:56,  1.27s/it, avr_loss=0.0853]
steps:  70%|███████   | 3016/4288 [1:03:49<26:55,  1.27s/it, avr_loss=0.0853]
steps:  70%|███████   | 3016/4288 [1:03:49<26:55,  1.27s/it, avr_loss=0.0855]
steps:  70%|███████   | 3017/4288 [1:03:51<26:53,  1.27s/it, avr_loss=0.0855]
steps:  70%|███████   | 3017/4288 [1:03:51<26:53,  1.27s/it, avr_loss=0.0852]
steps:  70%|███████   | 3018/4288 [1:03:52<26:52,  1.27s/it, avr_loss=0.0852]
steps:  70%|███████   | 3018/4288 [1:03:52<26:52,  1.27s/it, avr_loss=0.0847]
steps:  70%|███████   | 3019/4288 [1:03:53<26:51,  1.27s/it, avr_loss=0.0847]
steps:  70%|███████   | 3019/4288 [1:03:53<26:51,  1.27s/it, avr_loss=0.085] 
steps:  70%|███████   | 3020/4288 [1:03:54<26:50,  1.27s/it, avr_loss=0.085]
steps:  70%|███████   | 3020/4288 [1:03:54<26:50,  1.27s/it, avr_loss=0.0851]
steps:  70%|███████   | 3021/4288 [1:03:56<26:48,  1.27s/it, avr_loss=0.0851]
steps:  70%|███████   | 3021/4288 [1:03:56<26:48,  1.27s/it, avr_loss=0.0851]
steps:  70%|███████   | 3022/4288 [1:03:57<26:47,  1.27s/it, avr_loss=0.0851]
steps:  70%|███████   | 3022/4288 [1:03:57<26:47,  1.27s/it, avr_loss=0.085] 
steps:  70%|███████   | 3023/4288 [1:03:58<26:46,  1.27s/it, avr_loss=0.085]
steps:  70%|███████   | 3023/4288 [1:03:58<26:46,  1.27s/it, avr_loss=0.0855]
steps:  71%|███████   | 3024/4288 [1:03:59<26:45,  1.27s/it, avr_loss=0.0855]
steps:  71%|███████   | 3024/4288 [1:03:59<26:45,  1.27s/it, avr_loss=0.0858]
steps:  71%|███████   | 3025/4288 [1:04:01<26:43,  1.27s/it, avr_loss=0.0858]
steps:  71%|███████   | 3025/4288 [1:04:01<26:43,  1.27s/it, avr_loss=0.0855]
steps:  71%|███████   | 3026/4288 [1:04:02<26:42,  1.27s/it, avr_loss=0.0855]
steps:  71%|███████   | 3026/4288 [1:04:02<26:42,  1.27s/it, avr_loss=0.0856]
steps:  71%|███████   | 3027/4288 [1:04:03<26:41,  1.27s/it, avr_loss=0.0856]
steps:  71%|███████   | 3027/4288 [1:04:03<26:41,  1.27s/it, avr_loss=0.0861]
steps:  71%|███████   | 3028/4288 [1:04:04<26:39,  1.27s/it, avr_loss=0.0861]
steps:  71%|███████   | 3028/4288 [1:04:04<26:39,  1.27s/it, avr_loss=0.0861]
steps:  71%|███████   | 3029/4288 [1:04:06<26:38,  1.27s/it, avr_loss=0.0861]
steps:  71%|███████   | 3029/4288 [1:04:06<26:38,  1.27s/it, avr_loss=0.0863]
steps:  71%|███████   | 3030/4288 [1:04:07<26:37,  1.27s/it, avr_loss=0.0863]
steps:  71%|███████   | 3030/4288 [1:04:07<26:37,  1.27s/it, avr_loss=0.0862]
steps:  71%|███████   | 3031/4288 [1:04:08<26:36,  1.27s/it, avr_loss=0.0862]
steps:  71%|███████   | 3031/4288 [1:04:08<26:36,  1.27s/it, avr_loss=0.0862]
steps:  71%|███████   | 3032/4288 [1:04:09<26:34,  1.27s/it, avr_loss=0.0862]
steps:  71%|███████   | 3032/4288 [1:04:09<26:34,  1.27s/it, avr_loss=0.0863]
steps:  71%|███████   | 3033/4288 [1:04:11<26:33,  1.27s/it, avr_loss=0.0863]
steps:  71%|███████   | 3033/4288 [1:04:11<26:33,  1.27s/it, avr_loss=0.0863]
steps:  71%|███████   | 3034/4288 [1:04:12<26:32,  1.27s/it, avr_loss=0.0863]
steps:  71%|███████   | 3034/4288 [1:04:12<26:32,  1.27s/it, avr_loss=0.0862]
steps:  71%|███████   | 3035/4288 [1:04:13<26:31,  1.27s/it, avr_loss=0.0862]
steps:  71%|███████   | 3035/4288 [1:04:13<26:31,  1.27s/it, avr_loss=0.0864]
steps:  71%|███████   | 3036/4288 [1:04:14<26:29,  1.27s/it, avr_loss=0.0864]
steps:  71%|███████   | 3036/4288 [1:04:14<26:29,  1.27s/it, avr_loss=0.0866]
steps:  71%|███████   | 3037/4288 [1:04:16<26:28,  1.27s/it, avr_loss=0.0866]
steps:  71%|███████   | 3037/4288 [1:04:16<26:28,  1.27s/it, avr_loss=0.0865]
steps:  71%|███████   | 3038/4288 [1:04:17<26:27,  1.27s/it, avr_loss=0.0865]
steps:  71%|███████   | 3038/4288 [1:04:17<26:27,  1.27s/it, avr_loss=0.0869]
steps:  71%|███████   | 3039/4288 [1:04:18<26:25,  1.27s/it, avr_loss=0.0869]
steps:  71%|███████   | 3039/4288 [1:04:18<26:25,  1.27s/it, avr_loss=0.0869]
steps:  71%|███████   | 3040/4288 [1:04:19<26:24,  1.27s/it, avr_loss=0.0869]
steps:  71%|███████   | 3040/4288 [1:04:19<26:24,  1.27s/it, avr_loss=0.0866]
steps:  71%|███████   | 3041/4288 [1:04:21<26:23,  1.27s/it, avr_loss=0.0866]
steps:  71%|███████   | 3041/4288 [1:04:21<26:23,  1.27s/it, avr_loss=0.0866]
steps:  71%|███████   | 3042/4288 [1:04:22<26:22,  1.27s/it, avr_loss=0.0866]
steps:  71%|███████   | 3042/4288 [1:04:22<26:22,  1.27s/it, avr_loss=0.0867]
steps:  71%|███████   | 3043/4288 [1:04:23<26:20,  1.27s/it, avr_loss=0.0867]
steps:  71%|███████   | 3043/4288 [1:04:23<26:20,  1.27s/it, avr_loss=0.0869]
steps:  71%|███████   | 3044/4288 [1:04:25<26:19,  1.27s/it, avr_loss=0.0869]
steps:  71%|███████   | 3044/4288 [1:04:25<26:19,  1.27s/it, avr_loss=0.0871]
steps:  71%|███████   | 3045/4288 [1:04:26<26:18,  1.27s/it, avr_loss=0.0871]
steps:  71%|███████   | 3045/4288 [1:04:26<26:18,  1.27s/it, avr_loss=0.087] 
steps:  71%|███████   | 3046/4288 [1:04:27<26:17,  1.27s/it, avr_loss=0.087]
steps:  71%|███████   | 3046/4288 [1:04:27<26:17,  1.27s/it, avr_loss=0.087]
steps:  71%|███████   | 3047/4288 [1:04:28<26:15,  1.27s/it, avr_loss=0.087]
steps:  71%|███████   | 3047/4288 [1:04:28<26:15,  1.27s/it, avr_loss=0.0868]
steps:  71%|███████   | 3048/4288 [1:04:30<26:14,  1.27s/it, avr_loss=0.0868]
steps:  71%|███████   | 3048/4288 [1:04:30<26:14,  1.27s/it, avr_loss=0.087] 
steps:  71%|███████   | 3049/4288 [1:04:31<26:13,  1.27s/it, avr_loss=0.087]
steps:  71%|███████   | 3049/4288 [1:04:31<26:13,  1.27s/it, avr_loss=0.0871]
steps:  71%|███████   | 3050/4288 [1:04:32<26:11,  1.27s/it, avr_loss=0.0871]
steps:  71%|███████   | 3050/4288 [1:04:32<26:11,  1.27s/it, avr_loss=0.0872]
steps:  71%|███████   | 3051/4288 [1:04:34<26:10,  1.27s/it, avr_loss=0.0872]
steps:  71%|███████   | 3051/4288 [1:04:34<26:10,  1.27s/it, avr_loss=0.0873]
steps:  71%|███████   | 3052/4288 [1:04:35<26:09,  1.27s/it, avr_loss=0.0873]
steps:  71%|███████   | 3052/4288 [1:04:35<26:09,  1.27s/it, avr_loss=0.0874]
steps:  71%|███████   | 3053/4288 [1:04:36<26:08,  1.27s/it, avr_loss=0.0874]
steps:  71%|███████   | 3053/4288 [1:04:36<26:08,  1.27s/it, avr_loss=0.0874]
steps:  71%|███████   | 3054/4288 [1:04:37<26:06,  1.27s/it, avr_loss=0.0874]
steps:  71%|███████   | 3054/4288 [1:04:37<26:06,  1.27s/it, avr_loss=0.0878]
steps:  71%|███████   | 3055/4288 [1:04:38<26:05,  1.27s/it, avr_loss=0.0878]
steps:  71%|███████   | 3055/4288 [1:04:38<26:05,  1.27s/it, avr_loss=0.0877]
steps:  71%|███████▏  | 3056/4288 [1:04:40<26:04,  1.27s/it, avr_loss=0.0877]
steps:  71%|███████▏  | 3056/4288 [1:04:40<26:04,  1.27s/it, avr_loss=0.088] 
steps:  71%|███████▏  | 3057/4288 [1:04:41<26:02,  1.27s/it, avr_loss=0.088]
steps:  71%|███████▏  | 3057/4288 [1:04:41<26:02,  1.27s/it, avr_loss=0.0882]
steps:  71%|███████▏  | 3058/4288 [1:04:42<26:01,  1.27s/it, avr_loss=0.0882]
steps:  71%|███████▏  | 3058/4288 [1:04:42<26:01,  1.27s/it, avr_loss=0.088] 
steps:  71%|███████▏  | 3059/4288 [1:04:43<26:00,  1.27s/it, avr_loss=0.088]
steps:  71%|███████▏  | 3059/4288 [1:04:43<26:00,  1.27s/it, avr_loss=0.0881]
steps:  71%|███████▏  | 3060/4288 [1:04:45<25:59,  1.27s/it, avr_loss=0.0881]
steps:  71%|███████▏  | 3060/4288 [1:04:45<25:59,  1.27s/it, avr_loss=0.0878]
steps:  71%|███████▏  | 3061/4288 [1:04:46<25:57,  1.27s/it, avr_loss=0.0878]
steps:  71%|███████▏  | 3061/4288 [1:04:46<25:57,  1.27s/it, avr_loss=0.0878]
steps:  71%|███████▏  | 3062/4288 [1:04:47<25:56,  1.27s/it, avr_loss=0.0878]
steps:  71%|███████▏  | 3062/4288 [1:04:47<25:56,  1.27s/it, avr_loss=0.0877]
steps:  71%|███████▏  | 3063/4288 [1:04:48<25:55,  1.27s/it, avr_loss=0.0877]
steps:  71%|███████▏  | 3063/4288 [1:04:48<25:55,  1.27s/it, avr_loss=0.0877]
steps:  71%|███████▏  | 3064/4288 [1:04:50<25:54,  1.27s/it, avr_loss=0.0877]
steps:  71%|███████▏  | 3064/4288 [1:04:50<25:54,  1.27s/it, avr_loss=0.0874]
steps:  71%|███████▏  | 3065/4288 [1:04:51<25:52,  1.27s/it, avr_loss=0.0874]
steps:  71%|███████▏  | 3065/4288 [1:04:51<25:52,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3066/4288 [1:04:52<25:51,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3066/4288 [1:04:52<25:51,  1.27s/it, avr_loss=0.088] 
steps:  72%|███████▏  | 3067/4288 [1:04:53<25:50,  1.27s/it, avr_loss=0.088]
steps:  72%|███████▏  | 3067/4288 [1:04:53<25:50,  1.27s/it, avr_loss=0.0882]
steps:  72%|███████▏  | 3068/4288 [1:04:55<25:48,  1.27s/it, avr_loss=0.0882]
steps:  72%|███████▏  | 3068/4288 [1:04:55<25:48,  1.27s/it, avr_loss=0.0884]
steps:  72%|███████▏  | 3069/4288 [1:04:56<25:47,  1.27s/it, avr_loss=0.0884]
steps:  72%|███████▏  | 3069/4288 [1:04:56<25:47,  1.27s/it, avr_loss=0.0882]
steps:  72%|███████▏  | 3070/4288 [1:04:57<25:46,  1.27s/it, avr_loss=0.0882]
steps:  72%|███████▏  | 3070/4288 [1:04:57<25:46,  1.27s/it, avr_loss=0.0881]
steps:  72%|███████▏  | 3071/4288 [1:04:59<25:45,  1.27s/it, avr_loss=0.0881]
steps:  72%|███████▏  | 3071/4288 [1:04:59<25:45,  1.27s/it, avr_loss=0.0882]
steps:  72%|███████▏  | 3072/4288 [1:05:00<25:43,  1.27s/it, avr_loss=0.0882]
steps:  72%|███████▏  | 3072/4288 [1:05:00<25:43,  1.27s/it, avr_loss=0.088] 
steps:  72%|███████▏  | 3073/4288 [1:05:01<25:42,  1.27s/it, avr_loss=0.088]
steps:  72%|███████▏  | 3073/4288 [1:05:01<25:42,  1.27s/it, avr_loss=0.0879]
steps:  72%|███████▏  | 3074/4288 [1:05:02<25:41,  1.27s/it, avr_loss=0.0879]
steps:  72%|███████▏  | 3074/4288 [1:05:02<25:41,  1.27s/it, avr_loss=0.0882]
steps:  72%|███████▏  | 3075/4288 [1:05:04<25:40,  1.27s/it, avr_loss=0.0882]
steps:  72%|███████▏  | 3075/4288 [1:05:04<25:40,  1.27s/it, avr_loss=0.088] 
steps:  72%|███████▏  | 3076/4288 [1:05:05<25:38,  1.27s/it, avr_loss=0.088]
steps:  72%|███████▏  | 3076/4288 [1:05:05<25:38,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3077/4288 [1:05:06<25:37,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3077/4288 [1:05:06<25:37,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3078/4288 [1:05:08<25:36,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3078/4288 [1:05:08<25:36,  1.27s/it, avr_loss=0.0875]
steps:  72%|███████▏  | 3079/4288 [1:05:09<25:35,  1.27s/it, avr_loss=0.0875]
steps:  72%|███████▏  | 3079/4288 [1:05:09<25:35,  1.27s/it, avr_loss=0.0873]
steps:  72%|███████▏  | 3080/4288 [1:05:10<25:33,  1.27s/it, avr_loss=0.0873]
steps:  72%|███████▏  | 3080/4288 [1:05:10<25:33,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3081/4288 [1:05:11<25:32,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3081/4288 [1:05:11<25:32,  1.27s/it, avr_loss=0.0877]
steps:  72%|███████▏  | 3082/4288 [1:05:13<25:31,  1.27s/it, avr_loss=0.0877]
steps:  72%|███████▏  | 3082/4288 [1:05:13<25:31,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3083/4288 [1:05:14<25:29,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3083/4288 [1:05:14<25:29,  1.27s/it, avr_loss=0.0875]
steps:  72%|███████▏  | 3084/4288 [1:05:15<25:28,  1.27s/it, avr_loss=0.0875]
steps:  72%|███████▏  | 3084/4288 [1:05:15<25:28,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3085/4288 [1:05:16<25:27,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3085/4288 [1:05:16<25:27,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3086/4288 [1:05:18<25:26,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3086/4288 [1:05:18<25:26,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3087/4288 [1:05:19<25:24,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3087/4288 [1:05:19<25:24,  1.27s/it, avr_loss=0.0872]
steps:  72%|███████▏  | 3088/4288 [1:05:20<25:23,  1.27s/it, avr_loss=0.0872]
steps:  72%|███████▏  | 3088/4288 [1:05:20<25:23,  1.27s/it, avr_loss=0.0873]
steps:  72%|███████▏  | 3089/4288 [1:05:21<25:22,  1.27s/it, avr_loss=0.0873]
steps:  72%|███████▏  | 3089/4288 [1:05:21<25:22,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3090/4288 [1:05:22<25:20,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3090/4288 [1:05:22<25:20,  1.27s/it, avr_loss=0.0877]
steps:  72%|███████▏  | 3091/4288 [1:05:24<25:19,  1.27s/it, avr_loss=0.0877]
steps:  72%|███████▏  | 3091/4288 [1:05:24<25:19,  1.27s/it, avr_loss=0.0877]
steps:  72%|███████▏  | 3092/4288 [1:05:25<25:18,  1.27s/it, avr_loss=0.0877]
steps:  72%|███████▏  | 3092/4288 [1:05:25<25:18,  1.27s/it, avr_loss=0.0875]
steps:  72%|███████▏  | 3093/4288 [1:05:26<25:17,  1.27s/it, avr_loss=0.0875]
steps:  72%|███████▏  | 3093/4288 [1:05:26<25:17,  1.27s/it, avr_loss=0.0873]
steps:  72%|███████▏  | 3094/4288 [1:05:27<25:15,  1.27s/it, avr_loss=0.0873]
steps:  72%|███████▏  | 3094/4288 [1:05:27<25:15,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3095/4288 [1:05:29<25:14,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3095/4288 [1:05:29<25:14,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3096/4288 [1:05:30<25:13,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3096/4288 [1:05:30<25:13,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3097/4288 [1:05:31<25:12,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3097/4288 [1:05:31<25:12,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3098/4288 [1:05:33<25:10,  1.27s/it, avr_loss=0.0878]
steps:  72%|███████▏  | 3098/4288 [1:05:33<25:10,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3099/4288 [1:05:34<25:09,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3099/4288 [1:05:34<25:09,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3100/4288 [1:05:35<25:08,  1.27s/it, avr_loss=0.0874]
steps:  72%|███████▏  | 3100/4288 [1:05:35<25:08,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3101/4288 [1:05:36<25:06,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3101/4288 [1:05:36<25:06,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3102/4288 [1:05:38<25:05,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3102/4288 [1:05:38<25:05,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3103/4288 [1:05:39<25:04,  1.27s/it, avr_loss=0.0876]
steps:  72%|███████▏  | 3103/4288 [1:05:39<25:04,  1.27s/it, avr_loss=0.0873]
steps:  72%|███████▏  | 3104/4288 [1:05:41<25:03,  1.27s/it, avr_loss=0.0873]
steps:  72%|███████▏  | 3104/4288 [1:05:41<25:03,  1.27s/it, avr_loss=0.0871]
steps:  72%|███████▏  | 3105/4288 [1:05:42<25:02,  1.27s/it, avr_loss=0.0871]
steps:  72%|███████▏  | 3105/4288 [1:05:42<25:02,  1.27s/it, avr_loss=0.0873]
steps:  72%|███████▏  | 3106/4288 [1:05:43<25:00,  1.27s/it, avr_loss=0.0873]
steps:  72%|███████▏  | 3106/4288 [1:05:43<25:00,  1.27s/it, avr_loss=0.087] 
steps:  72%|███████▏  | 3107/4288 [1:05:44<24:59,  1.27s/it, avr_loss=0.087]
steps:  72%|███████▏  | 3107/4288 [1:05:44<24:59,  1.27s/it, avr_loss=0.0871]
steps:  72%|███████▏  | 3108/4288 [1:05:46<24:58,  1.27s/it, avr_loss=0.0871]
steps:  72%|███████▏  | 3108/4288 [1:05:46<24:58,  1.27s/it, avr_loss=0.0877]
steps:  73%|███████▎  | 3109/4288 [1:05:47<24:56,  1.27s/it, avr_loss=0.0877]
steps:  73%|███████▎  | 3109/4288 [1:05:47<24:56,  1.27s/it, avr_loss=0.0877]
steps:  73%|███████▎  | 3110/4288 [1:05:48<24:55,  1.27s/it, avr_loss=0.0877]
steps:  73%|███████▎  | 3110/4288 [1:05:48<24:55,  1.27s/it, avr_loss=0.0874]
steps:  73%|███████▎  | 3111/4288 [1:05:49<24:54,  1.27s/it, avr_loss=0.0874]
steps:  73%|███████▎  | 3111/4288 [1:05:49<24:54,  1.27s/it, avr_loss=0.0875]
steps:  73%|███████▎  | 3112/4288 [1:05:51<24:53,  1.27s/it, avr_loss=0.0875]
steps:  73%|███████▎  | 3112/4288 [1:05:51<24:53,  1.27s/it, avr_loss=0.0876]
steps:  73%|███████▎  | 3113/4288 [1:05:52<24:51,  1.27s/it, avr_loss=0.0876]
steps:  73%|███████▎  | 3113/4288 [1:05:52<24:51,  1.27s/it, avr_loss=0.0878]
steps:  73%|███████▎  | 3114/4288 [1:05:53<24:50,  1.27s/it, avr_loss=0.0878]
steps:  73%|███████▎  | 3114/4288 [1:05:53<24:50,  1.27s/it, avr_loss=0.0879]
steps:  73%|███████▎  | 3115/4288 [1:05:55<24:49,  1.27s/it, avr_loss=0.0879]
steps:  73%|███████▎  | 3115/4288 [1:05:55<24:49,  1.27s/it, avr_loss=0.0879]
steps:  73%|███████▎  | 3116/4288 [1:05:56<24:48,  1.27s/it, avr_loss=0.0879]
steps:  73%|███████▎  | 3116/4288 [1:05:56<24:48,  1.27s/it, avr_loss=0.088] 
steps:  73%|███████▎  | 3117/4288 [1:05:57<24:46,  1.27s/it, avr_loss=0.088]
steps:  73%|███████▎  | 3117/4288 [1:05:57<24:46,  1.27s/it, avr_loss=0.088]
steps:  73%|███████▎  | 3118/4288 [1:05:58<24:45,  1.27s/it, avr_loss=0.088]
steps:  73%|███████▎  | 3118/4288 [1:05:58<24:45,  1.27s/it, avr_loss=0.0879]
steps:  73%|███████▎  | 3119/4288 [1:06:00<24:44,  1.27s/it, avr_loss=0.0879]
steps:  73%|███████▎  | 3119/4288 [1:06:00<24:44,  1.27s/it, avr_loss=0.0881]
steps:  73%|███████▎  | 3120/4288 [1:06:01<24:43,  1.27s/it, avr_loss=0.0881]
steps:  73%|███████▎  | 3120/4288 [1:06:01<24:43,  1.27s/it, avr_loss=0.0884]
steps:  73%|███████▎  | 3121/4288 [1:06:02<24:41,  1.27s/it, avr_loss=0.0884]
steps:  73%|███████▎  | 3121/4288 [1:06:02<24:41,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3122/4288 [1:06:04<24:40,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3122/4288 [1:06:04<24:40,  1.27s/it, avr_loss=0.0887]
steps:  73%|███████▎  | 3123/4288 [1:06:05<24:39,  1.27s/it, avr_loss=0.0887]
steps:  73%|███████▎  | 3123/4288 [1:06:05<24:39,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3124/4288 [1:06:06<24:38,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3124/4288 [1:06:06<24:38,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3125/4288 [1:06:08<24:36,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3125/4288 [1:06:08<24:36,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3126/4288 [1:06:09<24:35,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3126/4288 [1:06:09<24:35,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3127/4288 [1:06:10<24:34,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3127/4288 [1:06:10<24:34,  1.27s/it, avr_loss=0.0888]
steps:  73%|███████▎  | 3128/4288 [1:06:11<24:32,  1.27s/it, avr_loss=0.0888]
steps:  73%|███████▎  | 3128/4288 [1:06:11<24:32,  1.27s/it, avr_loss=0.0889]
steps:  73%|███████▎  | 3129/4288 [1:06:13<24:31,  1.27s/it, avr_loss=0.0889]
steps:  73%|███████▎  | 3129/4288 [1:06:13<24:31,  1.27s/it, avr_loss=0.0889]
steps:  73%|███████▎  | 3130/4288 [1:06:14<24:30,  1.27s/it, avr_loss=0.0889]
steps:  73%|███████▎  | 3130/4288 [1:06:14<24:30,  1.27s/it, avr_loss=0.0887]
steps:  73%|███████▎  | 3131/4288 [1:06:15<24:29,  1.27s/it, avr_loss=0.0887]
steps:  73%|███████▎  | 3131/4288 [1:06:15<24:29,  1.27s/it, avr_loss=0.0887]
steps:  73%|███████▎  | 3132/4288 [1:06:16<24:27,  1.27s/it, avr_loss=0.0887]
steps:  73%|███████▎  | 3132/4288 [1:06:16<24:27,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3133/4288 [1:06:17<24:26,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3133/4288 [1:06:17<24:26,  1.27s/it, avr_loss=0.0887]
steps:  73%|███████▎  | 3134/4288 [1:06:19<24:25,  1.27s/it, avr_loss=0.0887]
steps:  73%|███████▎  | 3134/4288 [1:06:19<24:25,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3135/4288 [1:06:20<24:23,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3135/4288 [1:06:20<24:23,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3136/4288 [1:06:21<24:22,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3136/4288 [1:06:21<24:22,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3137/4288 [1:06:23<24:21,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3137/4288 [1:06:23<24:21,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3138/4288 [1:06:24<24:20,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3138/4288 [1:06:24<24:20,  1.27s/it, avr_loss=0.0884]
steps:  73%|███████▎  | 3139/4288 [1:06:25<24:18,  1.27s/it, avr_loss=0.0884]
steps:  73%|███████▎  | 3139/4288 [1:06:25<24:18,  1.27s/it, avr_loss=0.0882]
steps:  73%|███████▎  | 3140/4288 [1:06:26<24:17,  1.27s/it, avr_loss=0.0882]
steps:  73%|███████▎  | 3140/4288 [1:06:26<24:17,  1.27s/it, avr_loss=0.0882]
steps:  73%|███████▎  | 3141/4288 [1:06:28<24:16,  1.27s/it, avr_loss=0.0882]
steps:  73%|███████▎  | 3141/4288 [1:06:28<24:16,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3142/4288 [1:06:29<24:15,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3142/4288 [1:06:29<24:15,  1.27s/it, avr_loss=0.0884]
steps:  73%|███████▎  | 3143/4288 [1:06:30<24:13,  1.27s/it, avr_loss=0.0884]
steps:  73%|███████▎  | 3143/4288 [1:06:30<24:13,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3144/4288 [1:06:32<24:12,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3144/4288 [1:06:32<24:12,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3145/4288 [1:06:33<24:11,  1.27s/it, avr_loss=0.0886]
steps:  73%|███████▎  | 3145/4288 [1:06:33<24:11,  1.27s/it, avr_loss=0.0884]
steps:  73%|███████▎  | 3146/4288 [1:06:34<24:10,  1.27s/it, avr_loss=0.0884]
steps:  73%|███████▎  | 3146/4288 [1:06:34<24:10,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3147/4288 [1:06:35<24:08,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3147/4288 [1:06:35<24:08,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3148/4288 [1:06:37<24:07,  1.27s/it, avr_loss=0.0885]
steps:  73%|███████▎  | 3148/4288 [1:06:37<24:07,  1.27s/it, avr_loss=0.0887]
steps:  73%|███████▎  | 3149/4288 [1:06:38<24:06,  1.27s/it, avr_loss=0.0887]
steps:  73%|███████▎  | 3149/4288 [1:06:38<24:06,  1.27s/it, avr_loss=0.0888]
steps:  73%|███████▎  | 3150/4288 [1:06:39<24:04,  1.27s/it, avr_loss=0.0888]
steps:  73%|███████▎  | 3150/4288 [1:06:39<24:04,  1.27s/it, avr_loss=0.0889]
steps:  73%|███████▎  | 3151/4288 [1:06:40<24:03,  1.27s/it, avr_loss=0.0889]
steps:  73%|███████▎  | 3151/4288 [1:06:40<24:03,  1.27s/it, avr_loss=0.0896]
steps:  74%|███████▎  | 3152/4288 [1:06:42<24:02,  1.27s/it, avr_loss=0.0896]
steps:  74%|███████▎  | 3152/4288 [1:06:42<24:02,  1.27s/it, avr_loss=0.0895]
steps:  74%|███████▎  | 3153/4288 [1:06:43<24:01,  1.27s/it, avr_loss=0.0895]
steps:  74%|███████▎  | 3153/4288 [1:06:43<24:01,  1.27s/it, avr_loss=0.0895]
steps:  74%|███████▎  | 3154/4288 [1:06:44<23:59,  1.27s/it, avr_loss=0.0895]
steps:  74%|███████▎  | 3154/4288 [1:06:44<23:59,  1.27s/it, avr_loss=0.0893]
steps:  74%|███████▎  | 3155/4288 [1:06:45<23:58,  1.27s/it, avr_loss=0.0893]
steps:  74%|███████▎  | 3155/4288 [1:06:45<23:58,  1.27s/it, avr_loss=0.0892]
steps:  74%|███████▎  | 3156/4288 [1:06:47<23:57,  1.27s/it, avr_loss=0.0892]
steps:  74%|███████▎  | 3156/4288 [1:06:47<23:57,  1.27s/it, avr_loss=0.0891]
steps:  74%|███████▎  | 3157/4288 [1:06:48<23:56,  1.27s/it, avr_loss=0.0891]
steps:  74%|███████▎  | 3157/4288 [1:06:48<23:56,  1.27s/it, avr_loss=0.0897]
steps:  74%|███████▎  | 3158/4288 [1:06:49<23:54,  1.27s/it, avr_loss=0.0897]
steps:  74%|███████▎  | 3158/4288 [1:06:49<23:54,  1.27s/it, avr_loss=0.0897]
steps:  74%|███████▎  | 3159/4288 [1:06:50<23:53,  1.27s/it, avr_loss=0.0897]
steps:  74%|███████▎  | 3159/4288 [1:06:50<23:53,  1.27s/it, avr_loss=0.0898]
steps:  74%|███████▎  | 3160/4288 [1:06:52<23:52,  1.27s/it, avr_loss=0.0898]
steps:  74%|███████▎  | 3160/4288 [1:06:52<23:52,  1.27s/it, avr_loss=0.0896]
steps:  74%|███████▎  | 3161/4288 [1:06:53<23:50,  1.27s/it, avr_loss=0.0896]
steps:  74%|███████▎  | 3161/4288 [1:06:53<23:50,  1.27s/it, avr_loss=0.0899]
steps:  74%|███████▎  | 3162/4288 [1:06:54<23:49,  1.27s/it, avr_loss=0.0899]
steps:  74%|███████▎  | 3162/4288 [1:06:54<23:49,  1.27s/it, avr_loss=0.09]  
steps:  74%|███████▍  | 3163/4288 [1:06:56<23:48,  1.27s/it, avr_loss=0.09]
steps:  74%|███████▍  | 3163/4288 [1:06:56<23:48,  1.27s/it, avr_loss=0.0901]
steps:  74%|███████▍  | 3164/4288 [1:06:57<23:47,  1.27s/it, avr_loss=0.0901]
steps:  74%|███████▍  | 3164/4288 [1:06:57<23:47,  1.27s/it, avr_loss=0.0899]
steps:  74%|███████▍  | 3165/4288 [1:06:58<23:45,  1.27s/it, avr_loss=0.0899]
steps:  74%|███████▍  | 3165/4288 [1:06:58<23:45,  1.27s/it, avr_loss=0.0896]
steps:  74%|███████▍  | 3166/4288 [1:06:59<23:44,  1.27s/it, avr_loss=0.0896]
steps:  74%|███████▍  | 3166/4288 [1:06:59<23:44,  1.27s/it, avr_loss=0.0895]
steps:  74%|███████▍  | 3167/4288 [1:07:01<23:43,  1.27s/it, avr_loss=0.0895]
steps:  74%|███████▍  | 3167/4288 [1:07:01<23:43,  1.27s/it, avr_loss=0.0894]
steps:  74%|███████▍  | 3168/4288 [1:07:01<23:41,  1.27s/it, avr_loss=0.0894]
steps:  74%|███████▍  | 3168/4288 [1:07:01<23:41,  1.27s/it, avr_loss=0.0892]
steps:  74%|███████▍  | 3169/4288 [1:07:03<23:40,  1.27s/it, avr_loss=0.0892]
steps:  74%|███████▍  | 3169/4288 [1:07:03<23:40,  1.27s/it, avr_loss=0.0891]
steps:  74%|███████▍  | 3170/4288 [1:07:04<23:39,  1.27s/it, avr_loss=0.0891]
steps:  74%|███████▍  | 3170/4288 [1:07:04<23:39,  1.27s/it, avr_loss=0.0888]
steps:  74%|███████▍  | 3171/4288 [1:07:05<23:38,  1.27s/it, avr_loss=0.0888]
steps:  74%|███████▍  | 3171/4288 [1:07:05<23:38,  1.27s/it, avr_loss=0.0889]
steps:  74%|███████▍  | 3172/4288 [1:07:07<23:36,  1.27s/it, avr_loss=0.0889]
steps:  74%|███████▍  | 3172/4288 [1:07:07<23:36,  1.27s/it, avr_loss=0.0889]
steps:  74%|███████▍  | 3173/4288 [1:07:08<23:35,  1.27s/it, avr_loss=0.0889]
steps:  74%|███████▍  | 3173/4288 [1:07:08<23:35,  1.27s/it, avr_loss=0.0889]
steps:  74%|███████▍  | 3174/4288 [1:07:09<23:34,  1.27s/it, avr_loss=0.0889]
steps:  74%|███████▍  | 3174/4288 [1:07:09<23:34,  1.27s/it, avr_loss=0.0888]
steps:  74%|███████▍  | 3175/4288 [1:07:10<23:33,  1.27s/it, avr_loss=0.0888]
steps:  74%|███████▍  | 3175/4288 [1:07:10<23:33,  1.27s/it, avr_loss=0.0888]
steps:  74%|███████▍  | 3176/4288 [1:07:12<23:31,  1.27s/it, avr_loss=0.0888]
steps:  74%|███████▍  | 3176/4288 [1:07:12<23:31,  1.27s/it, avr_loss=0.0889]
steps:  74%|███████▍  | 3177/4288 [1:07:13<23:30,  1.27s/it, avr_loss=0.0889]
steps:  74%|███████▍  | 3177/4288 [1:07:13<23:30,  1.27s/it, avr_loss=0.0888]
steps:  74%|███████▍  | 3178/4288 [1:07:14<23:29,  1.27s/it, avr_loss=0.0888]
steps:  74%|███████▍  | 3178/4288 [1:07:14<23:29,  1.27s/it, avr_loss=0.0891]
steps:  74%|███████▍  | 3179/4288 [1:07:16<23:28,  1.27s/it, avr_loss=0.0891]
steps:  74%|███████▍  | 3179/4288 [1:07:16<23:28,  1.27s/it, avr_loss=0.0893]
steps:  74%|███████▍  | 3180/4288 [1:07:17<23:26,  1.27s/it, avr_loss=0.0893]
steps:  74%|███████▍  | 3180/4288 [1:07:17<23:26,  1.27s/it, avr_loss=0.089] 
steps:  74%|███████▍  | 3181/4288 [1:07:18<23:25,  1.27s/it, avr_loss=0.089]
steps:  74%|███████▍  | 3181/4288 [1:07:18<23:25,  1.27s/it, avr_loss=0.0892]
steps:  74%|███████▍  | 3182/4288 [1:07:20<23:24,  1.27s/it, avr_loss=0.0892]
steps:  74%|███████▍  | 3182/4288 [1:07:20<23:24,  1.27s/it, avr_loss=0.0891]
steps:  74%|███████▍  | 3183/4288 [1:07:21<23:22,  1.27s/it, avr_loss=0.0891]
steps:  74%|███████▍  | 3183/4288 [1:07:21<23:22,  1.27s/it, avr_loss=0.0889]
steps:  74%|███████▍  | 3184/4288 [1:07:22<23:21,  1.27s/it, avr_loss=0.0889]
steps:  74%|███████▍  | 3184/4288 [1:07:22<23:21,  1.27s/it, avr_loss=0.089] 
steps:  74%|███████▍  | 3185/4288 [1:07:23<23:20,  1.27s/it, avr_loss=0.089]
steps:  74%|███████▍  | 3185/4288 [1:07:23<23:20,  1.27s/it, avr_loss=0.0891]
steps:  74%|███████▍  | 3186/4288 [1:07:25<23:19,  1.27s/it, avr_loss=0.0891]
steps:  74%|███████▍  | 3186/4288 [1:07:25<23:19,  1.27s/it, avr_loss=0.089] 
steps:  74%|███████▍  | 3187/4288 [1:07:26<23:17,  1.27s/it, avr_loss=0.089]
steps:  74%|███████▍  | 3187/4288 [1:07:26<23:17,  1.27s/it, avr_loss=0.089]
steps:  74%|███████▍  | 3188/4288 [1:07:27<23:16,  1.27s/it, avr_loss=0.089]
steps:  74%|███████▍  | 3188/4288 [1:07:27<23:16,  1.27s/it, avr_loss=0.089]
steps:  74%|███████▍  | 3189/4288 [1:07:28<23:15,  1.27s/it, avr_loss=0.089]
steps:  74%|███████▍  | 3189/4288 [1:07:28<23:15,  1.27s/it, avr_loss=0.0886]
steps:  74%|███████▍  | 3190/4288 [1:07:30<23:14,  1.27s/it, avr_loss=0.0886]
steps:  74%|███████▍  | 3190/4288 [1:07:30<23:14,  1.27s/it, avr_loss=0.0878]
steps:  74%|███████▍  | 3191/4288 [1:07:31<23:12,  1.27s/it, avr_loss=0.0878]
steps:  74%|███████▍  | 3191/4288 [1:07:31<23:12,  1.27s/it, avr_loss=0.0877]
steps:  74%|███████▍  | 3192/4288 [1:07:32<23:11,  1.27s/it, avr_loss=0.0877]
steps:  74%|███████▍  | 3192/4288 [1:07:32<23:11,  1.27s/it, avr_loss=0.0878]
steps:  74%|███████▍  | 3193/4288 [1:07:34<23:10,  1.27s/it, avr_loss=0.0878]
steps:  74%|███████▍  | 3193/4288 [1:07:34<23:10,  1.27s/it, avr_loss=0.0877]
steps:  74%|███████▍  | 3194/4288 [1:07:35<23:09,  1.27s/it, avr_loss=0.0877]
steps:  74%|███████▍  | 3194/4288 [1:07:35<23:09,  1.27s/it, avr_loss=0.0876]
steps:  75%|███████▍  | 3195/4288 [1:07:36<23:07,  1.27s/it, avr_loss=0.0876]
steps:  75%|███████▍  | 3195/4288 [1:07:36<23:07,  1.27s/it, avr_loss=0.0877]
steps:  75%|███████▍  | 3196/4288 [1:07:37<23:06,  1.27s/it, avr_loss=0.0877]
steps:  75%|███████▍  | 3196/4288 [1:07:37<23:06,  1.27s/it, avr_loss=0.0877]
steps:  75%|███████▍  | 3197/4288 [1:07:39<23:05,  1.27s/it, avr_loss=0.0877]
steps:  75%|███████▍  | 3197/4288 [1:07:39<23:05,  1.27s/it, avr_loss=0.0877]
steps:  75%|███████▍  | 3198/4288 [1:07:40<23:03,  1.27s/it, avr_loss=0.0877]
steps:  75%|███████▍  | 3198/4288 [1:07:40<23:03,  1.27s/it, avr_loss=0.0875]
steps:  75%|███████▍  | 3199/4288 [1:07:41<23:02,  1.27s/it, avr_loss=0.0875]
steps:  75%|███████▍  | 3199/4288 [1:07:41<23:02,  1.27s/it, avr_loss=0.0874]
steps:  75%|███████▍  | 3200/4288 [1:07:42<23:01,  1.27s/it, avr_loss=0.0874]
steps:  75%|███████▍  | 3200/4288 [1:07:42<23:01,  1.27s/it, avr_loss=0.0877]
steps:  75%|███████▍  | 3201/4288 [1:07:44<23:00,  1.27s/it, avr_loss=0.0877]
steps:  75%|███████▍  | 3201/4288 [1:07:44<23:00,  1.27s/it, avr_loss=0.0879]
steps:  75%|███████▍  | 3202/4288 [1:07:45<22:58,  1.27s/it, avr_loss=0.0879]
steps:  75%|███████▍  | 3202/4288 [1:07:45<22:58,  1.27s/it, avr_loss=0.088] 
steps:  75%|███████▍  | 3203/4288 [1:07:46<22:57,  1.27s/it, avr_loss=0.088]
steps:  75%|███████▍  | 3203/4288 [1:07:46<22:57,  1.27s/it, avr_loss=0.0875]
steps:  75%|███████▍  | 3204/4288 [1:07:47<22:56,  1.27s/it, avr_loss=0.0875]
steps:  75%|███████▍  | 3204/4288 [1:07:47<22:56,  1.27s/it, avr_loss=0.0873]
steps:  75%|███████▍  | 3205/4288 [1:07:49<22:54,  1.27s/it, avr_loss=0.0873]
steps:  75%|███████▍  | 3205/4288 [1:07:49<22:54,  1.27s/it, avr_loss=0.0875]
steps:  75%|███████▍  | 3206/4288 [1:07:50<22:53,  1.27s/it, avr_loss=0.0875]
steps:  75%|███████▍  | 3206/4288 [1:07:50<22:53,  1.27s/it, avr_loss=0.0869]
steps:  75%|███████▍  | 3207/4288 [1:07:51<22:52,  1.27s/it, avr_loss=0.0869]
steps:  75%|███████▍  | 3207/4288 [1:07:51<22:52,  1.27s/it, avr_loss=0.0871]
steps:  75%|███████▍  | 3208/4288 [1:07:52<22:51,  1.27s/it, avr_loss=0.0871]
steps:  75%|███████▍  | 3208/4288 [1:07:52<22:51,  1.27s/it, avr_loss=0.0872]
steps:  75%|███████▍  | 3209/4288 [1:07:54<22:49,  1.27s/it, avr_loss=0.0872]
steps:  75%|███████▍  | 3209/4288 [1:07:54<22:49,  1.27s/it, avr_loss=0.0873]
steps:  75%|███████▍  | 3210/4288 [1:07:55<22:48,  1.27s/it, avr_loss=0.0873]
steps:  75%|███████▍  | 3210/4288 [1:07:55<22:48,  1.27s/it, avr_loss=0.0875]
steps:  75%|███████▍  | 3211/4288 [1:07:56<22:47,  1.27s/it, avr_loss=0.0875]
steps:  75%|███████▍  | 3211/4288 [1:07:56<22:47,  1.27s/it, avr_loss=0.0875]
steps:  75%|███████▍  | 3212/4288 [1:07:57<22:46,  1.27s/it, avr_loss=0.0875]
steps:  75%|███████▍  | 3212/4288 [1:07:57<22:46,  1.27s/it, avr_loss=0.0874]
steps:  75%|███████▍  | 3213/4288 [1:07:59<22:44,  1.27s/it, avr_loss=0.0874]
steps:  75%|███████▍  | 3213/4288 [1:07:59<22:44,  1.27s/it, avr_loss=0.0874]
steps:  75%|███████▍  | 3214/4288 [1:08:00<22:43,  1.27s/it, avr_loss=0.0874]
steps:  75%|███████▍  | 3214/4288 [1:08:00<22:43,  1.27s/it, avr_loss=0.0874]
steps:  75%|███████▍  | 3215/4288 [1:08:01<22:42,  1.27s/it, avr_loss=0.0874]
steps:  75%|███████▍  | 3215/4288 [1:08:01<22:42,  1.27s/it, avr_loss=0.0876]
steps:  75%|███████▌  | 3216/4288 [1:08:03<22:41,  1.27s/it, avr_loss=0.0876]
steps:  75%|███████▌  | 3216/4288 [1:08:03<22:41,  1.27s/it, avr_loss=0.087] 2026-07-24 14:43:47 INFO     epoch is incremented. current_epoch: dataset.py:464
                             12, epoch: 13                                      
2026-07-24 14:43:47 INFO     epoch is incremented. current_epoch: dataset.py:464
                             12, epoch: 13                                      

steps:  75%|███████▌  | 3217/4288 [1:08:04<22:39,  1.27s/it, avr_loss=0.087]
steps:  75%|███████▌  | 3217/4288 [1:08:04<22:39,  1.27s/it, avr_loss=0.087]
steps:  75%|███████▌  | 3218/4288 [1:08:05<22:38,  1.27s/it, avr_loss=0.087]
steps:  75%|███████▌  | 3218/4288 [1:08:05<22:38,  1.27s/it, avr_loss=0.0868]
steps:  75%|███████▌  | 3219/4288 [1:08:06<22:37,  1.27s/it, avr_loss=0.0868]
steps:  75%|███████▌  | 3219/4288 [1:08:06<22:37,  1.27s/it, avr_loss=0.0866]
steps:  75%|███████▌  | 3220/4288 [1:08:08<22:35,  1.27s/it, avr_loss=0.0866]
steps:  75%|███████▌  | 3220/4288 [1:08:08<22:35,  1.27s/it, avr_loss=0.0864]
steps:  75%|███████▌  | 3221/4288 [1:08:09<22:34,  1.27s/it, avr_loss=0.0864]
steps:  75%|███████▌  | 3221/4288 [1:08:09<22:34,  1.27s/it, avr_loss=0.0867]
steps:  75%|███████▌  | 3222/4288 [1:08:10<22:33,  1.27s/it, avr_loss=0.0867]
steps:  75%|███████▌  | 3222/4288 [1:08:10<22:33,  1.27s/it, avr_loss=0.0867]
steps:  75%|███████▌  | 3223/4288 [1:08:12<22:32,  1.27s/it, avr_loss=0.0867]
steps:  75%|███████▌  | 3223/4288 [1:08:12<22:32,  1.27s/it, avr_loss=0.0869]
steps:  75%|███████▌  | 3224/4288 [1:08:13<22:30,  1.27s/it, avr_loss=0.0869]
steps:  75%|███████▌  | 3224/4288 [1:08:13<22:30,  1.27s/it, avr_loss=0.0868]
steps:  75%|███████▌  | 3225/4288 [1:08:14<22:29,  1.27s/it, avr_loss=0.0868]
steps:  75%|███████▌  | 3225/4288 [1:08:14<22:29,  1.27s/it, avr_loss=0.0867]
steps:  75%|███████▌  | 3226/4288 [1:08:15<22:28,  1.27s/it, avr_loss=0.0867]
steps:  75%|███████▌  | 3226/4288 [1:08:15<22:28,  1.27s/it, avr_loss=0.0861]
steps:  75%|███████▌  | 3227/4288 [1:08:16<22:27,  1.27s/it, avr_loss=0.0861]
steps:  75%|███████▌  | 3227/4288 [1:08:16<22:27,  1.27s/it, avr_loss=0.0859]
steps:  75%|███████▌  | 3228/4288 [1:08:18<22:25,  1.27s/it, avr_loss=0.0859]
steps:  75%|███████▌  | 3228/4288 [1:08:18<22:25,  1.27s/it, avr_loss=0.0858]
steps:  75%|███████▌  | 3229/4288 [1:08:19<22:24,  1.27s/it, avr_loss=0.0858]
steps:  75%|███████▌  | 3229/4288 [1:08:19<22:24,  1.27s/it, avr_loss=0.0859]
steps:  75%|███████▌  | 3230/4288 [1:08:20<22:23,  1.27s/it, avr_loss=0.0859]
steps:  75%|███████▌  | 3230/4288 [1:08:20<22:23,  1.27s/it, avr_loss=0.0862]
steps:  75%|███████▌  | 3231/4288 [1:08:22<22:21,  1.27s/it, avr_loss=0.0862]
steps:  75%|███████▌  | 3231/4288 [1:08:22<22:21,  1.27s/it, avr_loss=0.0865]
steps:  75%|███████▌  | 3232/4288 [1:08:23<22:20,  1.27s/it, avr_loss=0.0865]
steps:  75%|███████▌  | 3232/4288 [1:08:23<22:20,  1.27s/it, avr_loss=0.0854]
steps:  75%|███████▌  | 3233/4288 [1:08:24<22:19,  1.27s/it, avr_loss=0.0854]
steps:  75%|███████▌  | 3233/4288 [1:08:24<22:19,  1.27s/it, avr_loss=0.0856]
steps:  75%|███████▌  | 3234/4288 [1:08:25<22:18,  1.27s/it, avr_loss=0.0856]
steps:  75%|███████▌  | 3234/4288 [1:08:25<22:18,  1.27s/it, avr_loss=0.0853]
steps:  75%|███████▌  | 3235/4288 [1:08:27<22:16,  1.27s/it, avr_loss=0.0853]
steps:  75%|███████▌  | 3235/4288 [1:08:27<22:16,  1.27s/it, avr_loss=0.0853]
steps:  75%|███████▌  | 3236/4288 [1:08:28<22:15,  1.27s/it, avr_loss=0.0853]
steps:  75%|███████▌  | 3236/4288 [1:08:28<22:15,  1.27s/it, avr_loss=0.0854]
steps:  75%|███████▌  | 3237/4288 [1:08:29<22:14,  1.27s/it, avr_loss=0.0854]
steps:  75%|███████▌  | 3237/4288 [1:08:29<22:14,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3238/4288 [1:08:30<22:13,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3238/4288 [1:08:30<22:13,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3239/4288 [1:08:32<22:11,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3239/4288 [1:08:32<22:11,  1.27s/it, avr_loss=0.0854]
steps:  76%|███████▌  | 3240/4288 [1:08:33<22:10,  1.27s/it, avr_loss=0.0854]
steps:  76%|███████▌  | 3240/4288 [1:08:33<22:10,  1.27s/it, avr_loss=0.0852]
steps:  76%|███████▌  | 3241/4288 [1:08:34<22:09,  1.27s/it, avr_loss=0.0852]
steps:  76%|███████▌  | 3241/4288 [1:08:34<22:09,  1.27s/it, avr_loss=0.0852]
steps:  76%|███████▌  | 3242/4288 [1:08:35<22:07,  1.27s/it, avr_loss=0.0852]
steps:  76%|███████▌  | 3242/4288 [1:08:35<22:07,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3243/4288 [1:08:37<22:06,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3243/4288 [1:08:37<22:06,  1.27s/it, avr_loss=0.0855]
steps:  76%|███████▌  | 3244/4288 [1:08:38<22:05,  1.27s/it, avr_loss=0.0855]
steps:  76%|███████▌  | 3244/4288 [1:08:38<22:05,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▌  | 3245/4288 [1:08:39<22:04,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▌  | 3245/4288 [1:08:39<22:04,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3246/4288 [1:08:40<22:02,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3246/4288 [1:08:40<22:02,  1.27s/it, avr_loss=0.0854]
steps:  76%|███████▌  | 3247/4288 [1:08:42<22:01,  1.27s/it, avr_loss=0.0854]
steps:  76%|███████▌  | 3247/4288 [1:08:42<22:01,  1.27s/it, avr_loss=0.0854]
steps:  76%|███████▌  | 3248/4288 [1:08:43<22:00,  1.27s/it, avr_loss=0.0854]
steps:  76%|███████▌  | 3248/4288 [1:08:43<22:00,  1.27s/it, avr_loss=0.0854]
steps:  76%|███████▌  | 3249/4288 [1:08:44<21:59,  1.27s/it, avr_loss=0.0854]
steps:  76%|███████▌  | 3249/4288 [1:08:44<21:59,  1.27s/it, avr_loss=0.0852]
steps:  76%|███████▌  | 3250/4288 [1:08:46<21:57,  1.27s/it, avr_loss=0.0852]
steps:  76%|███████▌  | 3250/4288 [1:08:46<21:57,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3251/4288 [1:08:47<21:56,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3251/4288 [1:08:47<21:56,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3252/4288 [1:08:48<21:55,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3252/4288 [1:08:48<21:55,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3253/4288 [1:08:49<21:53,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3253/4288 [1:08:49<21:53,  1.27s/it, avr_loss=0.0855]
steps:  76%|███████▌  | 3254/4288 [1:08:51<21:52,  1.27s/it, avr_loss=0.0855]
steps:  76%|███████▌  | 3254/4288 [1:08:51<21:52,  1.27s/it, avr_loss=0.0856]
steps:  76%|███████▌  | 3255/4288 [1:08:52<21:51,  1.27s/it, avr_loss=0.0856]
steps:  76%|███████▌  | 3255/4288 [1:08:52<21:51,  1.27s/it, avr_loss=0.0852]
steps:  76%|███████▌  | 3256/4288 [1:08:53<21:50,  1.27s/it, avr_loss=0.0852]
steps:  76%|███████▌  | 3256/4288 [1:08:53<21:50,  1.27s/it, avr_loss=0.0849]
steps:  76%|███████▌  | 3257/4288 [1:08:54<21:48,  1.27s/it, avr_loss=0.0849]
steps:  76%|███████▌  | 3257/4288 [1:08:54<21:48,  1.27s/it, avr_loss=0.0851]
steps:  76%|███████▌  | 3258/4288 [1:08:56<21:47,  1.27s/it, avr_loss=0.0851]
steps:  76%|███████▌  | 3258/4288 [1:08:56<21:47,  1.27s/it, avr_loss=0.0851]
steps:  76%|███████▌  | 3259/4288 [1:08:57<21:46,  1.27s/it, avr_loss=0.0851]
steps:  76%|███████▌  | 3259/4288 [1:08:57<21:46,  1.27s/it, avr_loss=0.0852]
steps:  76%|███████▌  | 3260/4288 [1:08:59<21:45,  1.27s/it, avr_loss=0.0852]
steps:  76%|███████▌  | 3260/4288 [1:08:59<21:45,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3261/4288 [1:09:00<21:43,  1.27s/it, avr_loss=0.0853]
steps:  76%|███████▌  | 3261/4288 [1:09:00<21:43,  1.27s/it, avr_loss=0.0851]
steps:  76%|███████▌  | 3262/4288 [1:09:01<21:42,  1.27s/it, avr_loss=0.0851]
steps:  76%|███████▌  | 3262/4288 [1:09:01<21:42,  1.27s/it, avr_loss=0.0855]
steps:  76%|███████▌  | 3263/4288 [1:09:02<21:41,  1.27s/it, avr_loss=0.0855]
steps:  76%|███████▌  | 3263/4288 [1:09:02<21:41,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▌  | 3264/4288 [1:09:04<21:40,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▌  | 3264/4288 [1:09:04<21:40,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▌  | 3265/4288 [1:09:05<21:38,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▌  | 3265/4288 [1:09:05<21:38,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▌  | 3266/4288 [1:09:06<21:37,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▌  | 3266/4288 [1:09:06<21:37,  1.27s/it, avr_loss=0.0855]
steps:  76%|███████▌  | 3267/4288 [1:09:07<21:36,  1.27s/it, avr_loss=0.0855]
steps:  76%|███████▌  | 3267/4288 [1:09:07<21:36,  1.27s/it, avr_loss=0.0855]
steps:  76%|███████▌  | 3268/4288 [1:09:09<21:35,  1.27s/it, avr_loss=0.0855]
steps:  76%|███████▌  | 3268/4288 [1:09:09<21:35,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▌  | 3269/4288 [1:09:10<21:33,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▌  | 3269/4288 [1:09:10<21:33,  1.27s/it, avr_loss=0.0858]
steps:  76%|███████▋  | 3270/4288 [1:09:11<21:32,  1.27s/it, avr_loss=0.0858]
steps:  76%|███████▋  | 3270/4288 [1:09:11<21:32,  1.27s/it, avr_loss=0.0856]
steps:  76%|███████▋  | 3271/4288 [1:09:13<21:31,  1.27s/it, avr_loss=0.0856]
steps:  76%|███████▋  | 3271/4288 [1:09:13<21:31,  1.27s/it, avr_loss=0.0856]
steps:  76%|███████▋  | 3272/4288 [1:09:14<21:29,  1.27s/it, avr_loss=0.0856]
steps:  76%|███████▋  | 3272/4288 [1:09:14<21:29,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▋  | 3273/4288 [1:09:15<21:28,  1.27s/it, avr_loss=0.0857]
steps:  76%|███████▋  | 3273/4288 [1:09:15<21:28,  1.27s/it, avr_loss=0.0856]
steps:  76%|███████▋  | 3274/4288 [1:09:16<21:27,  1.27s/it, avr_loss=0.0856]
steps:  76%|███████▋  | 3274/4288 [1:09:16<21:27,  1.27s/it, avr_loss=0.0862]
steps:  76%|███████▋  | 3275/4288 [1:09:18<21:26,  1.27s/it, avr_loss=0.0862]
steps:  76%|███████▋  | 3275/4288 [1:09:18<21:26,  1.27s/it, avr_loss=0.0863]
steps:  76%|███████▋  | 3276/4288 [1:09:19<21:24,  1.27s/it, avr_loss=0.0863]
steps:  76%|███████▋  | 3276/4288 [1:09:19<21:24,  1.27s/it, avr_loss=0.0863]
steps:  76%|███████▋  | 3277/4288 [1:09:20<21:23,  1.27s/it, avr_loss=0.0863]
steps:  76%|███████▋  | 3277/4288 [1:09:20<21:23,  1.27s/it, avr_loss=0.0865]
steps:  76%|███████▋  | 3278/4288 [1:09:22<21:22,  1.27s/it, avr_loss=0.0865]
steps:  76%|███████▋  | 3278/4288 [1:09:22<21:22,  1.27s/it, avr_loss=0.0867]
steps:  76%|███████▋  | 3279/4288 [1:09:23<21:21,  1.27s/it, avr_loss=0.0867]
steps:  76%|███████▋  | 3279/4288 [1:09:23<21:21,  1.27s/it, avr_loss=0.0869]
steps:  76%|███████▋  | 3280/4288 [1:09:24<21:19,  1.27s/it, avr_loss=0.0869]
steps:  76%|███████▋  | 3280/4288 [1:09:24<21:19,  1.27s/it, avr_loss=0.0869]
steps:  77%|███████▋  | 3281/4288 [1:09:25<21:18,  1.27s/it, avr_loss=0.0869]
steps:  77%|███████▋  | 3281/4288 [1:09:25<21:18,  1.27s/it, avr_loss=0.0869]
steps:  77%|███████▋  | 3282/4288 [1:09:27<21:17,  1.27s/it, avr_loss=0.0869]
steps:  77%|███████▋  | 3282/4288 [1:09:27<21:17,  1.27s/it, avr_loss=0.087] 
steps:  77%|███████▋  | 3283/4288 [1:09:28<21:16,  1.27s/it, avr_loss=0.087]
steps:  77%|███████▋  | 3283/4288 [1:09:28<21:16,  1.27s/it, avr_loss=0.0869]
steps:  77%|███████▋  | 3284/4288 [1:09:29<21:14,  1.27s/it, avr_loss=0.0869]
steps:  77%|███████▋  | 3284/4288 [1:09:29<21:14,  1.27s/it, avr_loss=0.0868]
steps:  77%|███████▋  | 3285/4288 [1:09:30<21:13,  1.27s/it, avr_loss=0.0868]
steps:  77%|███████▋  | 3285/4288 [1:09:30<21:13,  1.27s/it, avr_loss=0.087] 
steps:  77%|███████▋  | 3286/4288 [1:09:32<21:12,  1.27s/it, avr_loss=0.087]
steps:  77%|███████▋  | 3286/4288 [1:09:32<21:12,  1.27s/it, avr_loss=0.0873]
steps:  77%|███████▋  | 3287/4288 [1:09:33<21:10,  1.27s/it, avr_loss=0.0873]
steps:  77%|███████▋  | 3287/4288 [1:09:33<21:10,  1.27s/it, avr_loss=0.087] 
steps:  77%|███████▋  | 3288/4288 [1:09:34<21:09,  1.27s/it, avr_loss=0.087]
steps:  77%|███████▋  | 3288/4288 [1:09:34<21:09,  1.27s/it, avr_loss=0.087]
steps:  77%|███████▋  | 3289/4288 [1:09:35<21:08,  1.27s/it, avr_loss=0.087]
steps:  77%|███████▋  | 3289/4288 [1:09:35<21:08,  1.27s/it, avr_loss=0.0869]
steps:  77%|███████▋  | 3290/4288 [1:09:37<21:07,  1.27s/it, avr_loss=0.0869]
steps:  77%|███████▋  | 3290/4288 [1:09:37<21:07,  1.27s/it, avr_loss=0.0871]
steps:  77%|███████▋  | 3291/4288 [1:09:38<21:05,  1.27s/it, avr_loss=0.0871]
steps:  77%|███████▋  | 3291/4288 [1:09:38<21:05,  1.27s/it, avr_loss=0.0865]
steps:  77%|███████▋  | 3292/4288 [1:09:39<21:04,  1.27s/it, avr_loss=0.0865]
steps:  77%|███████▋  | 3292/4288 [1:09:39<21:04,  1.27s/it, avr_loss=0.0862]
steps:  77%|███████▋  | 3293/4288 [1:09:40<21:03,  1.27s/it, avr_loss=0.0862]
steps:  77%|███████▋  | 3293/4288 [1:09:40<21:03,  1.27s/it, avr_loss=0.0864]
steps:  77%|███████▋  | 3294/4288 [1:09:42<21:02,  1.27s/it, avr_loss=0.0864]
steps:  77%|███████▋  | 3294/4288 [1:09:42<21:02,  1.27s/it, avr_loss=0.0862]
steps:  77%|███████▋  | 3295/4288 [1:09:43<21:00,  1.27s/it, avr_loss=0.0862]
steps:  77%|███████▋  | 3295/4288 [1:09:43<21:00,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3296/4288 [1:09:44<20:59,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3296/4288 [1:09:44<20:59,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3297/4288 [1:09:45<20:58,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3297/4288 [1:09:46<20:58,  1.27s/it, avr_loss=0.0854]
steps:  77%|███████▋  | 3298/4288 [1:09:47<20:56,  1.27s/it, avr_loss=0.0854]
steps:  77%|███████▋  | 3298/4288 [1:09:47<20:56,  1.27s/it, avr_loss=0.0855]
steps:  77%|███████▋  | 3299/4288 [1:09:48<20:55,  1.27s/it, avr_loss=0.0855]
steps:  77%|███████▋  | 3299/4288 [1:09:48<20:55,  1.27s/it, avr_loss=0.0855]
steps:  77%|███████▋  | 3300/4288 [1:09:49<20:54,  1.27s/it, avr_loss=0.0855]
steps:  77%|███████▋  | 3300/4288 [1:09:49<20:54,  1.27s/it, avr_loss=0.0858]
steps:  77%|███████▋  | 3301/4288 [1:09:51<20:53,  1.27s/it, avr_loss=0.0858]
steps:  77%|███████▋  | 3301/4288 [1:09:51<20:53,  1.27s/it, avr_loss=0.0858]
steps:  77%|███████▋  | 3302/4288 [1:09:52<20:51,  1.27s/it, avr_loss=0.0858]
steps:  77%|███████▋  | 3302/4288 [1:09:52<20:51,  1.27s/it, avr_loss=0.0858]
steps:  77%|███████▋  | 3303/4288 [1:09:53<20:50,  1.27s/it, avr_loss=0.0858]
steps:  77%|███████▋  | 3303/4288 [1:09:53<20:50,  1.27s/it, avr_loss=0.0855]
steps:  77%|███████▋  | 3304/4288 [1:09:55<20:49,  1.27s/it, avr_loss=0.0855]
steps:  77%|███████▋  | 3304/4288 [1:09:55<20:49,  1.27s/it, avr_loss=0.0854]
steps:  77%|███████▋  | 3305/4288 [1:09:56<20:48,  1.27s/it, avr_loss=0.0854]
steps:  77%|███████▋  | 3305/4288 [1:09:56<20:48,  1.27s/it, avr_loss=0.0853]
steps:  77%|███████▋  | 3306/4288 [1:09:57<20:46,  1.27s/it, avr_loss=0.0853]
steps:  77%|███████▋  | 3306/4288 [1:09:57<20:46,  1.27s/it, avr_loss=0.0849]
steps:  77%|███████▋  | 3307/4288 [1:09:58<20:45,  1.27s/it, avr_loss=0.0849]
steps:  77%|███████▋  | 3307/4288 [1:09:58<20:45,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3308/4288 [1:09:59<20:44,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3308/4288 [1:09:59<20:44,  1.27s/it, avr_loss=0.0857]
steps:  77%|███████▋  | 3309/4288 [1:10:01<20:42,  1.27s/it, avr_loss=0.0857]
steps:  77%|███████▋  | 3309/4288 [1:10:01<20:42,  1.27s/it, avr_loss=0.0857]
steps:  77%|███████▋  | 3310/4288 [1:10:02<20:41,  1.27s/it, avr_loss=0.0857]
steps:  77%|███████▋  | 3310/4288 [1:10:02<20:41,  1.27s/it, avr_loss=0.0858]
steps:  77%|███████▋  | 3311/4288 [1:10:03<20:40,  1.27s/it, avr_loss=0.0858]
steps:  77%|███████▋  | 3311/4288 [1:10:03<20:40,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3312/4288 [1:10:04<20:39,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3312/4288 [1:10:04<20:39,  1.27s/it, avr_loss=0.0852]
steps:  77%|███████▋  | 3313/4288 [1:10:06<20:37,  1.27s/it, avr_loss=0.0852]
steps:  77%|███████▋  | 3313/4288 [1:10:06<20:37,  1.27s/it, avr_loss=0.0852]
steps:  77%|███████▋  | 3314/4288 [1:10:07<20:36,  1.27s/it, avr_loss=0.0852]
steps:  77%|███████▋  | 3314/4288 [1:10:07<20:36,  1.27s/it, avr_loss=0.0853]
steps:  77%|███████▋  | 3315/4288 [1:10:08<20:35,  1.27s/it, avr_loss=0.0853]
steps:  77%|███████▋  | 3315/4288 [1:10:08<20:35,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3316/4288 [1:10:09<20:34,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3316/4288 [1:10:09<20:34,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3317/4288 [1:10:11<20:32,  1.27s/it, avr_loss=0.0856]
steps:  77%|███████▋  | 3317/4288 [1:10:11<20:32,  1.27s/it, avr_loss=0.0854]
steps:  77%|███████▋  | 3318/4288 [1:10:12<20:31,  1.27s/it, avr_loss=0.0854]
steps:  77%|███████▋  | 3318/4288 [1:10:12<20:31,  1.27s/it, avr_loss=0.0854]
steps:  77%|███████▋  | 3319/4288 [1:10:13<20:30,  1.27s/it, avr_loss=0.0854]
steps:  77%|███████▋  | 3319/4288 [1:10:13<20:30,  1.27s/it, avr_loss=0.0859]
steps:  77%|███████▋  | 3320/4288 [1:10:15<20:28,  1.27s/it, avr_loss=0.0859]
steps:  77%|███████▋  | 3320/4288 [1:10:15<20:28,  1.27s/it, avr_loss=0.0859]
steps:  77%|███████▋  | 3321/4288 [1:10:16<20:27,  1.27s/it, avr_loss=0.0859]
steps:  77%|███████▋  | 3321/4288 [1:10:16<20:27,  1.27s/it, avr_loss=0.0858]
steps:  77%|███████▋  | 3322/4288 [1:10:17<20:26,  1.27s/it, avr_loss=0.0858]
steps:  77%|███████▋  | 3322/4288 [1:10:17<20:26,  1.27s/it, avr_loss=0.086] 
steps:  77%|███████▋  | 3323/4288 [1:10:18<20:25,  1.27s/it, avr_loss=0.086]
steps:  77%|███████▋  | 3323/4288 [1:10:18<20:25,  1.27s/it, avr_loss=0.086]
steps:  78%|███████▊  | 3324/4288 [1:10:20<20:23,  1.27s/it, avr_loss=0.086]
steps:  78%|███████▊  | 3324/4288 [1:10:20<20:23,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3325/4288 [1:10:21<20:22,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3325/4288 [1:10:21<20:22,  1.27s/it, avr_loss=0.0856]
steps:  78%|███████▊  | 3326/4288 [1:10:22<20:21,  1.27s/it, avr_loss=0.0856]
steps:  78%|███████▊  | 3326/4288 [1:10:22<20:21,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3327/4288 [1:10:23<20:20,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3327/4288 [1:10:23<20:20,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3328/4288 [1:10:25<20:18,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3328/4288 [1:10:25<20:18,  1.27s/it, avr_loss=0.0856]
steps:  78%|███████▊  | 3329/4288 [1:10:26<20:17,  1.27s/it, avr_loss=0.0856]
steps:  78%|███████▊  | 3329/4288 [1:10:26<20:17,  1.27s/it, avr_loss=0.0856]
steps:  78%|███████▊  | 3330/4288 [1:10:27<20:16,  1.27s/it, avr_loss=0.0856]
steps:  78%|███████▊  | 3330/4288 [1:10:27<20:16,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3331/4288 [1:10:29<20:15,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3331/4288 [1:10:29<20:15,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3332/4288 [1:10:30<20:13,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3332/4288 [1:10:30<20:13,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3333/4288 [1:10:31<20:12,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3333/4288 [1:10:31<20:12,  1.27s/it, avr_loss=0.0858]
steps:  78%|███████▊  | 3334/4288 [1:10:32<20:11,  1.27s/it, avr_loss=0.0858]
steps:  78%|███████▊  | 3334/4288 [1:10:32<20:11,  1.27s/it, avr_loss=0.0855]
steps:  78%|███████▊  | 3335/4288 [1:10:34<20:09,  1.27s/it, avr_loss=0.0855]
steps:  78%|███████▊  | 3335/4288 [1:10:34<20:09,  1.27s/it, avr_loss=0.0854]
steps:  78%|███████▊  | 3336/4288 [1:10:35<20:08,  1.27s/it, avr_loss=0.0854]
steps:  78%|███████▊  | 3336/4288 [1:10:35<20:08,  1.27s/it, avr_loss=0.0852]
steps:  78%|███████▊  | 3337/4288 [1:10:36<20:07,  1.27s/it, avr_loss=0.0852]
steps:  78%|███████▊  | 3337/4288 [1:10:36<20:07,  1.27s/it, avr_loss=0.0856]
steps:  78%|███████▊  | 3338/4288 [1:10:38<20:06,  1.27s/it, avr_loss=0.0856]
steps:  78%|███████▊  | 3338/4288 [1:10:38<20:06,  1.27s/it, avr_loss=0.0854]
steps:  78%|███████▊  | 3339/4288 [1:10:39<20:04,  1.27s/it, avr_loss=0.0854]
steps:  78%|███████▊  | 3339/4288 [1:10:39<20:04,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3340/4288 [1:10:40<20:03,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3340/4288 [1:10:40<20:03,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3341/4288 [1:10:41<20:02,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3341/4288 [1:10:41<20:02,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3342/4288 [1:10:43<20:01,  1.27s/it, avr_loss=0.0857]
steps:  78%|███████▊  | 3342/4288 [1:10:43<20:01,  1.27s/it, avr_loss=0.0853]
steps:  78%|███████▊  | 3343/4288 [1:10:44<19:59,  1.27s/it, avr_loss=0.0853]
steps:  78%|███████▊  | 3343/4288 [1:10:44<19:59,  1.27s/it, avr_loss=0.0851]
steps:  78%|███████▊  | 3344/4288 [1:10:45<19:58,  1.27s/it, avr_loss=0.0851]
steps:  78%|███████▊  | 3344/4288 [1:10:45<19:58,  1.27s/it, avr_loss=0.0852]
steps:  78%|███████▊  | 3345/4288 [1:10:47<19:57,  1.27s/it, avr_loss=0.0852]
steps:  78%|███████▊  | 3345/4288 [1:10:47<19:57,  1.27s/it, avr_loss=0.0853]
steps:  78%|███████▊  | 3346/4288 [1:10:48<19:56,  1.27s/it, avr_loss=0.0853]
steps:  78%|███████▊  | 3346/4288 [1:10:48<19:56,  1.27s/it, avr_loss=0.0854]
steps:  78%|███████▊  | 3347/4288 [1:10:49<19:54,  1.27s/it, avr_loss=0.0854]
steps:  78%|███████▊  | 3347/4288 [1:10:49<19:54,  1.27s/it, avr_loss=0.0856]
steps:  78%|███████▊  | 3348/4288 [1:10:50<19:53,  1.27s/it, avr_loss=0.0856]
steps:  78%|███████▊  | 3348/4288 [1:10:50<19:53,  1.27s/it, avr_loss=0.085] 
steps:  78%|███████▊  | 3349/4288 [1:10:52<19:52,  1.27s/it, avr_loss=0.085]
steps:  78%|███████▊  | 3349/4288 [1:10:52<19:52,  1.27s/it, avr_loss=0.0851]
steps:  78%|███████▊  | 3350/4288 [1:10:53<19:50,  1.27s/it, avr_loss=0.0851]
steps:  78%|███████▊  | 3350/4288 [1:10:53<19:50,  1.27s/it, avr_loss=0.0852]
steps:  78%|███████▊  | 3351/4288 [1:10:54<19:49,  1.27s/it, avr_loss=0.0852]
steps:  78%|███████▊  | 3351/4288 [1:10:54<19:49,  1.27s/it, avr_loss=0.0852]
steps:  78%|███████▊  | 3352/4288 [1:10:55<19:48,  1.27s/it, avr_loss=0.0852]
steps:  78%|███████▊  | 3352/4288 [1:10:55<19:48,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3353/4288 [1:10:56<19:47,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3353/4288 [1:10:56<19:47,  1.27s/it, avr_loss=0.0868]
steps:  78%|███████▊  | 3354/4288 [1:10:58<19:45,  1.27s/it, avr_loss=0.0868]
steps:  78%|███████▊  | 3354/4288 [1:10:58<19:45,  1.27s/it, avr_loss=0.0867]
steps:  78%|███████▊  | 3355/4288 [1:10:59<19:44,  1.27s/it, avr_loss=0.0867]
steps:  78%|███████▊  | 3355/4288 [1:10:59<19:44,  1.27s/it, avr_loss=0.0866]
steps:  78%|███████▊  | 3356/4288 [1:11:00<19:43,  1.27s/it, avr_loss=0.0866]
steps:  78%|███████▊  | 3356/4288 [1:11:00<19:43,  1.27s/it, avr_loss=0.0866]
steps:  78%|███████▊  | 3357/4288 [1:11:02<19:42,  1.27s/it, avr_loss=0.0866]
steps:  78%|███████▊  | 3357/4288 [1:11:02<19:42,  1.27s/it, avr_loss=0.0865]
steps:  78%|███████▊  | 3358/4288 [1:11:03<19:40,  1.27s/it, avr_loss=0.0865]
steps:  78%|███████▊  | 3358/4288 [1:11:03<19:40,  1.27s/it, avr_loss=0.0863]
steps:  78%|███████▊  | 3359/4288 [1:11:04<19:39,  1.27s/it, avr_loss=0.0863]
steps:  78%|███████▊  | 3359/4288 [1:11:04<19:39,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3360/4288 [1:11:06<19:38,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3360/4288 [1:11:06<19:38,  1.27s/it, avr_loss=0.0865]
steps:  78%|███████▊  | 3361/4288 [1:11:07<19:36,  1.27s/it, avr_loss=0.0865]
steps:  78%|███████▊  | 3361/4288 [1:11:07<19:36,  1.27s/it, avr_loss=0.0867]
steps:  78%|███████▊  | 3362/4288 [1:11:08<19:35,  1.27s/it, avr_loss=0.0867]
steps:  78%|███████▊  | 3362/4288 [1:11:08<19:35,  1.27s/it, avr_loss=0.0867]
steps:  78%|███████▊  | 3363/4288 [1:11:09<19:34,  1.27s/it, avr_loss=0.0867]
steps:  78%|███████▊  | 3363/4288 [1:11:09<19:34,  1.27s/it, avr_loss=0.0864]
steps:  78%|███████▊  | 3364/4288 [1:11:10<19:33,  1.27s/it, avr_loss=0.0864]
steps:  78%|███████▊  | 3364/4288 [1:11:10<19:33,  1.27s/it, avr_loss=0.0864]
steps:  78%|███████▊  | 3365/4288 [1:11:12<19:31,  1.27s/it, avr_loss=0.0864]
steps:  78%|███████▊  | 3365/4288 [1:11:12<19:31,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3366/4288 [1:11:13<19:30,  1.27s/it, avr_loss=0.0862]
steps:  78%|███████▊  | 3366/4288 [1:11:13<19:30,  1.27s/it, avr_loss=0.0863]
steps:  79%|███████▊  | 3367/4288 [1:11:14<19:29,  1.27s/it, avr_loss=0.0863]
steps:  79%|███████▊  | 3367/4288 [1:11:14<19:29,  1.27s/it, avr_loss=0.0868]
steps:  79%|███████▊  | 3368/4288 [1:11:15<19:28,  1.27s/it, avr_loss=0.0868]
steps:  79%|███████▊  | 3368/4288 [1:11:15<19:28,  1.27s/it, avr_loss=0.0867]
steps:  79%|███████▊  | 3369/4288 [1:11:17<19:26,  1.27s/it, avr_loss=0.0867]
steps:  79%|███████▊  | 3369/4288 [1:11:17<19:26,  1.27s/it, avr_loss=0.0867]
steps:  79%|███████▊  | 3370/4288 [1:11:18<19:25,  1.27s/it, avr_loss=0.0867]
steps:  79%|███████▊  | 3370/4288 [1:11:18<19:25,  1.27s/it, avr_loss=0.0866]
steps:  79%|███████▊  | 3371/4288 [1:11:19<19:24,  1.27s/it, avr_loss=0.0866]
steps:  79%|███████▊  | 3371/4288 [1:11:19<19:24,  1.27s/it, avr_loss=0.0867]
steps:  79%|███████▊  | 3372/4288 [1:11:21<19:22,  1.27s/it, avr_loss=0.0867]
steps:  79%|███████▊  | 3372/4288 [1:11:21<19:22,  1.27s/it, avr_loss=0.0866]
steps:  79%|███████▊  | 3373/4288 [1:11:22<19:21,  1.27s/it, avr_loss=0.0866]
steps:  79%|███████▊  | 3373/4288 [1:11:22<19:21,  1.27s/it, avr_loss=0.0863]
steps:  79%|███████▊  | 3374/4288 [1:11:23<19:20,  1.27s/it, avr_loss=0.0863]
steps:  79%|███████▊  | 3374/4288 [1:11:23<19:20,  1.27s/it, avr_loss=0.0864]
steps:  79%|███████▊  | 3375/4288 [1:11:24<19:19,  1.27s/it, avr_loss=0.0864]
steps:  79%|███████▊  | 3375/4288 [1:11:24<19:19,  1.27s/it, avr_loss=0.0864]
steps:  79%|███████▊  | 3376/4288 [1:11:26<19:17,  1.27s/it, avr_loss=0.0864]
steps:  79%|███████▊  | 3376/4288 [1:11:26<19:17,  1.27s/it, avr_loss=0.0857]
steps:  79%|███████▉  | 3377/4288 [1:11:27<19:16,  1.27s/it, avr_loss=0.0857]
steps:  79%|███████▉  | 3377/4288 [1:11:27<19:16,  1.27s/it, avr_loss=0.0856]
steps:  79%|███████▉  | 3378/4288 [1:11:28<19:15,  1.27s/it, avr_loss=0.0856]
steps:  79%|███████▉  | 3378/4288 [1:11:28<19:15,  1.27s/it, avr_loss=0.0857]
steps:  79%|███████▉  | 3379/4288 [1:11:29<19:14,  1.27s/it, avr_loss=0.0857]
steps:  79%|███████▉  | 3379/4288 [1:11:30<19:14,  1.27s/it, avr_loss=0.0856]
steps:  79%|███████▉  | 3380/4288 [1:11:31<19:12,  1.27s/it, avr_loss=0.0856]
steps:  79%|███████▉  | 3380/4288 [1:11:31<19:12,  1.27s/it, avr_loss=0.0853]
steps:  79%|███████▉  | 3381/4288 [1:11:32<19:11,  1.27s/it, avr_loss=0.0853]
steps:  79%|███████▉  | 3381/4288 [1:11:32<19:11,  1.27s/it, avr_loss=0.0851]
steps:  79%|███████▉  | 3382/4288 [1:11:33<19:10,  1.27s/it, avr_loss=0.0851]
steps:  79%|███████▉  | 3382/4288 [1:11:33<19:10,  1.27s/it, avr_loss=0.0853]
steps:  79%|███████▉  | 3383/4288 [1:11:35<19:08,  1.27s/it, avr_loss=0.0853]
steps:  79%|███████▉  | 3383/4288 [1:11:35<19:08,  1.27s/it, avr_loss=0.0852]
steps:  79%|███████▉  | 3384/4288 [1:11:36<19:07,  1.27s/it, avr_loss=0.0852]
steps:  79%|███████▉  | 3384/4288 [1:11:36<19:07,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3385/4288 [1:11:37<19:06,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3385/4288 [1:11:37<19:06,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3386/4288 [1:11:38<19:05,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3386/4288 [1:11:38<19:05,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3387/4288 [1:11:40<19:03,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3387/4288 [1:11:40<19:03,  1.27s/it, avr_loss=0.0846]
steps:  79%|███████▉  | 3388/4288 [1:11:41<19:02,  1.27s/it, avr_loss=0.0846]
steps:  79%|███████▉  | 3388/4288 [1:11:41<19:02,  1.27s/it, avr_loss=0.0843]
steps:  79%|███████▉  | 3389/4288 [1:11:42<19:01,  1.27s/it, avr_loss=0.0843]
steps:  79%|███████▉  | 3389/4288 [1:11:42<19:01,  1.27s/it, avr_loss=0.0842]
steps:  79%|███████▉  | 3390/4288 [1:11:44<19:00,  1.27s/it, avr_loss=0.0842]
steps:  79%|███████▉  | 3390/4288 [1:11:44<19:00,  1.27s/it, avr_loss=0.0841]
steps:  79%|███████▉  | 3391/4288 [1:11:45<18:58,  1.27s/it, avr_loss=0.0841]
steps:  79%|███████▉  | 3391/4288 [1:11:45<18:58,  1.27s/it, avr_loss=0.0843]
steps:  79%|███████▉  | 3392/4288 [1:11:46<18:57,  1.27s/it, avr_loss=0.0843]
steps:  79%|███████▉  | 3392/4288 [1:11:46<18:57,  1.27s/it, avr_loss=0.0843]
steps:  79%|███████▉  | 3393/4288 [1:11:47<18:56,  1.27s/it, avr_loss=0.0843]
steps:  79%|███████▉  | 3393/4288 [1:11:47<18:56,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3394/4288 [1:11:48<18:55,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3394/4288 [1:11:48<18:55,  1.27s/it, avr_loss=0.0849]
steps:  79%|███████▉  | 3395/4288 [1:11:50<18:53,  1.27s/it, avr_loss=0.0849]
steps:  79%|███████▉  | 3395/4288 [1:11:50<18:53,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3396/4288 [1:11:51<18:52,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3396/4288 [1:11:51<18:52,  1.27s/it, avr_loss=0.0845]
steps:  79%|███████▉  | 3397/4288 [1:11:53<18:51,  1.27s/it, avr_loss=0.0845]
steps:  79%|███████▉  | 3397/4288 [1:11:53<18:51,  1.27s/it, avr_loss=0.0844]
steps:  79%|███████▉  | 3398/4288 [1:11:54<18:50,  1.27s/it, avr_loss=0.0844]
steps:  79%|███████▉  | 3398/4288 [1:11:54<18:50,  1.27s/it, avr_loss=0.0846]
steps:  79%|███████▉  | 3399/4288 [1:11:55<18:48,  1.27s/it, avr_loss=0.0846]
steps:  79%|███████▉  | 3399/4288 [1:11:55<18:48,  1.27s/it, avr_loss=0.0846]
steps:  79%|███████▉  | 3400/4288 [1:11:56<18:47,  1.27s/it, avr_loss=0.0846]
steps:  79%|███████▉  | 3400/4288 [1:11:56<18:47,  1.27s/it, avr_loss=0.0845]
steps:  79%|███████▉  | 3401/4288 [1:11:58<18:46,  1.27s/it, avr_loss=0.0845]
steps:  79%|███████▉  | 3401/4288 [1:11:58<18:46,  1.27s/it, avr_loss=0.0849]
steps:  79%|███████▉  | 3402/4288 [1:11:59<18:44,  1.27s/it, avr_loss=0.0849]
steps:  79%|███████▉  | 3402/4288 [1:11:59<18:44,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3403/4288 [1:12:00<18:43,  1.27s/it, avr_loss=0.0847]
steps:  79%|███████▉  | 3403/4288 [1:12:00<18:43,  1.27s/it, avr_loss=0.0849]
steps:  79%|███████▉  | 3404/4288 [1:12:01<18:42,  1.27s/it, avr_loss=0.0849]
steps:  79%|███████▉  | 3404/4288 [1:12:01<18:42,  1.27s/it, avr_loss=0.085] 
steps:  79%|███████▉  | 3405/4288 [1:12:02<18:41,  1.27s/it, avr_loss=0.085]
steps:  79%|███████▉  | 3405/4288 [1:12:02<18:41,  1.27s/it, avr_loss=0.0857]
steps:  79%|███████▉  | 3406/4288 [1:12:04<18:39,  1.27s/it, avr_loss=0.0857]
steps:  79%|███████▉  | 3406/4288 [1:12:04<18:39,  1.27s/it, avr_loss=0.0861]
steps:  79%|███████▉  | 3407/4288 [1:12:05<18:38,  1.27s/it, avr_loss=0.0861]
steps:  79%|███████▉  | 3407/4288 [1:12:05<18:38,  1.27s/it, avr_loss=0.0863]
steps:  79%|███████▉  | 3408/4288 [1:12:06<18:37,  1.27s/it, avr_loss=0.0863]
steps:  79%|███████▉  | 3408/4288 [1:12:06<18:37,  1.27s/it, avr_loss=0.0864]
steps:  80%|███████▉  | 3409/4288 [1:12:07<18:35,  1.27s/it, avr_loss=0.0864]
steps:  80%|███████▉  | 3409/4288 [1:12:07<18:35,  1.27s/it, avr_loss=0.0859]
steps:  80%|███████▉  | 3410/4288 [1:12:09<18:34,  1.27s/it, avr_loss=0.0859]
steps:  80%|███████▉  | 3410/4288 [1:12:09<18:34,  1.27s/it, avr_loss=0.0861]
steps:  80%|███████▉  | 3411/4288 [1:12:10<18:33,  1.27s/it, avr_loss=0.0861]
steps:  80%|███████▉  | 3411/4288 [1:12:10<18:33,  1.27s/it, avr_loss=0.086] 
steps:  80%|███████▉  | 3412/4288 [1:12:11<18:32,  1.27s/it, avr_loss=0.086]
steps:  80%|███████▉  | 3412/4288 [1:12:11<18:32,  1.27s/it, avr_loss=0.0861]
steps:  80%|███████▉  | 3413/4288 [1:12:12<18:30,  1.27s/it, avr_loss=0.0861]
steps:  80%|███████▉  | 3413/4288 [1:12:12<18:30,  1.27s/it, avr_loss=0.0863]
steps:  80%|███████▉  | 3414/4288 [1:12:14<18:29,  1.27s/it, avr_loss=0.0863]
steps:  80%|███████▉  | 3414/4288 [1:12:14<18:29,  1.27s/it, avr_loss=0.0862]
steps:  80%|███████▉  | 3415/4288 [1:12:15<18:28,  1.27s/it, avr_loss=0.0862]
steps:  80%|███████▉  | 3415/4288 [1:12:15<18:28,  1.27s/it, avr_loss=0.0862]
steps:  80%|███████▉  | 3416/4288 [1:12:16<18:26,  1.27s/it, avr_loss=0.0862]
steps:  80%|███████▉  | 3416/4288 [1:12:16<18:26,  1.27s/it, avr_loss=0.0861]
steps:  80%|███████▉  | 3417/4288 [1:12:17<18:25,  1.27s/it, avr_loss=0.0861]
steps:  80%|███████▉  | 3417/4288 [1:12:17<18:25,  1.27s/it, avr_loss=0.0861]
steps:  80%|███████▉  | 3418/4288 [1:12:19<18:24,  1.27s/it, avr_loss=0.0861]
steps:  80%|███████▉  | 3418/4288 [1:12:19<18:24,  1.27s/it, avr_loss=0.086] 
steps:  80%|███████▉  | 3419/4288 [1:12:20<18:23,  1.27s/it, avr_loss=0.086]
steps:  80%|███████▉  | 3419/4288 [1:12:20<18:23,  1.27s/it, avr_loss=0.0851]
steps:  80%|███████▉  | 3420/4288 [1:12:21<18:21,  1.27s/it, avr_loss=0.0851]
steps:  80%|███████▉  | 3420/4288 [1:12:21<18:21,  1.27s/it, avr_loss=0.0854]
steps:  80%|███████▉  | 3421/4288 [1:12:23<18:20,  1.27s/it, avr_loss=0.0854]
steps:  80%|███████▉  | 3421/4288 [1:12:23<18:20,  1.27s/it, avr_loss=0.0856]
steps:  80%|███████▉  | 3422/4288 [1:12:24<18:19,  1.27s/it, avr_loss=0.0856]
steps:  80%|███████▉  | 3422/4288 [1:12:24<18:19,  1.27s/it, avr_loss=0.0857]
steps:  80%|███████▉  | 3423/4288 [1:12:25<18:18,  1.27s/it, avr_loss=0.0857]
steps:  80%|███████▉  | 3423/4288 [1:12:25<18:18,  1.27s/it, avr_loss=0.0859]
steps:  80%|███████▉  | 3424/4288 [1:12:26<18:16,  1.27s/it, avr_loss=0.0859]
steps:  80%|███████▉  | 3424/4288 [1:12:26<18:16,  1.27s/it, avr_loss=0.0859]
steps:  80%|███████▉  | 3425/4288 [1:12:28<18:15,  1.27s/it, avr_loss=0.0859]
steps:  80%|███████▉  | 3425/4288 [1:12:28<18:15,  1.27s/it, avr_loss=0.0852]
steps:  80%|███████▉  | 3426/4288 [1:12:29<18:14,  1.27s/it, avr_loss=0.0852]
steps:  80%|███████▉  | 3426/4288 [1:12:29<18:14,  1.27s/it, avr_loss=0.0854]
steps:  80%|███████▉  | 3427/4288 [1:12:30<18:13,  1.27s/it, avr_loss=0.0854]
steps:  80%|███████▉  | 3427/4288 [1:12:30<18:13,  1.27s/it, avr_loss=0.0854]
steps:  80%|███████▉  | 3428/4288 [1:12:32<18:11,  1.27s/it, avr_loss=0.0854]
steps:  80%|███████▉  | 3428/4288 [1:12:32<18:11,  1.27s/it, avr_loss=0.0855]
steps:  80%|███████▉  | 3429/4288 [1:12:33<18:10,  1.27s/it, avr_loss=0.0855]
steps:  80%|███████▉  | 3429/4288 [1:12:33<18:10,  1.27s/it, avr_loss=0.0855]
steps:  80%|███████▉  | 3430/4288 [1:12:34<18:09,  1.27s/it, avr_loss=0.0855]
steps:  80%|███████▉  | 3430/4288 [1:12:34<18:09,  1.27s/it, avr_loss=0.0855]
steps:  80%|████████  | 3431/4288 [1:12:35<18:07,  1.27s/it, avr_loss=0.0855]
steps:  80%|████████  | 3431/4288 [1:12:35<18:07,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3432/4288 [1:12:37<18:06,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3432/4288 [1:12:37<18:06,  1.27s/it, avr_loss=0.0853]
steps:  80%|████████  | 3433/4288 [1:12:38<18:05,  1.27s/it, avr_loss=0.0853]
steps:  80%|████████  | 3433/4288 [1:12:38<18:05,  1.27s/it, avr_loss=0.0853]
steps:  80%|████████  | 3434/4288 [1:12:39<18:04,  1.27s/it, avr_loss=0.0853]
steps:  80%|████████  | 3434/4288 [1:12:39<18:04,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3435/4288 [1:12:40<18:02,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3435/4288 [1:12:40<18:02,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3436/4288 [1:12:41<18:01,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3436/4288 [1:12:41<18:01,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3437/4288 [1:12:43<18:00,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3437/4288 [1:12:43<18:00,  1.27s/it, avr_loss=0.0859]
steps:  80%|████████  | 3438/4288 [1:12:44<17:59,  1.27s/it, avr_loss=0.0859]
steps:  80%|████████  | 3438/4288 [1:12:44<17:59,  1.27s/it, avr_loss=0.0859]
steps:  80%|████████  | 3439/4288 [1:12:45<17:57,  1.27s/it, avr_loss=0.0859]
steps:  80%|████████  | 3439/4288 [1:12:45<17:57,  1.27s/it, avr_loss=0.0857]
steps:  80%|████████  | 3440/4288 [1:12:47<17:56,  1.27s/it, avr_loss=0.0857]
steps:  80%|████████  | 3440/4288 [1:12:47<17:56,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3441/4288 [1:12:48<17:55,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3441/4288 [1:12:48<17:55,  1.27s/it, avr_loss=0.0857]
steps:  80%|████████  | 3442/4288 [1:12:49<17:53,  1.27s/it, avr_loss=0.0857]
steps:  80%|████████  | 3442/4288 [1:12:49<17:53,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3443/4288 [1:12:50<17:52,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3443/4288 [1:12:50<17:52,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3444/4288 [1:12:52<17:51,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3444/4288 [1:12:52<17:51,  1.27s/it, avr_loss=0.0855]
steps:  80%|████████  | 3445/4288 [1:12:53<17:50,  1.27s/it, avr_loss=0.0855]
steps:  80%|████████  | 3445/4288 [1:12:53<17:50,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3446/4288 [1:12:54<17:48,  1.27s/it, avr_loss=0.0856]
steps:  80%|████████  | 3446/4288 [1:12:54<17:48,  1.27s/it, avr_loss=0.0855]
steps:  80%|████████  | 3447/4288 [1:12:56<17:47,  1.27s/it, avr_loss=0.0855]
steps:  80%|████████  | 3447/4288 [1:12:56<17:47,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3448/4288 [1:12:57<17:46,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3448/4288 [1:12:57<17:46,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3449/4288 [1:12:58<17:45,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3449/4288 [1:12:58<17:45,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3450/4288 [1:12:59<17:43,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3450/4288 [1:12:59<17:43,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3451/4288 [1:13:01<17:42,  1.27s/it, avr_loss=0.0854]
steps:  80%|████████  | 3451/4288 [1:13:01<17:42,  1.27s/it, avr_loss=0.0855]
steps:  81%|████████  | 3452/4288 [1:13:02<17:41,  1.27s/it, avr_loss=0.0855]
steps:  81%|████████  | 3452/4288 [1:13:02<17:41,  1.27s/it, avr_loss=0.0854]
steps:  81%|████████  | 3453/4288 [1:13:03<17:40,  1.27s/it, avr_loss=0.0854]
steps:  81%|████████  | 3453/4288 [1:13:03<17:40,  1.27s/it, avr_loss=0.0856]
steps:  81%|████████  | 3454/4288 [1:13:05<17:38,  1.27s/it, avr_loss=0.0856]
steps:  81%|████████  | 3454/4288 [1:13:05<17:38,  1.27s/it, avr_loss=0.0856]
steps:  81%|████████  | 3455/4288 [1:13:06<17:37,  1.27s/it, avr_loss=0.0856]
steps:  81%|████████  | 3455/4288 [1:13:06<17:37,  1.27s/it, avr_loss=0.0854]
steps:  81%|████████  | 3456/4288 [1:13:07<17:36,  1.27s/it, avr_loss=0.0854]
steps:  81%|████████  | 3456/4288 [1:13:07<17:36,  1.27s/it, avr_loss=0.0854]
steps:  81%|████████  | 3457/4288 [1:13:08<17:34,  1.27s/it, avr_loss=0.0854]
steps:  81%|████████  | 3457/4288 [1:13:08<17:34,  1.27s/it, avr_loss=0.0855]
steps:  81%|████████  | 3458/4288 [1:13:09<17:33,  1.27s/it, avr_loss=0.0855]
steps:  81%|████████  | 3458/4288 [1:13:09<17:33,  1.27s/it, avr_loss=0.0856]
steps:  81%|████████  | 3459/4288 [1:13:10<17:32,  1.27s/it, avr_loss=0.0856]
steps:  81%|████████  | 3459/4288 [1:13:10<17:32,  1.27s/it, avr_loss=0.0857]
steps:  81%|████████  | 3460/4288 [1:13:12<17:31,  1.27s/it, avr_loss=0.0857]
steps:  81%|████████  | 3460/4288 [1:13:12<17:31,  1.27s/it, avr_loss=0.0854]
steps:  81%|████████  | 3461/4288 [1:13:13<17:29,  1.27s/it, avr_loss=0.0854]
steps:  81%|████████  | 3461/4288 [1:13:13<17:29,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████  | 3462/4288 [1:13:14<17:28,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████  | 3462/4288 [1:13:14<17:28,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████  | 3463/4288 [1:13:16<17:27,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████  | 3463/4288 [1:13:16<17:27,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████  | 3464/4288 [1:13:17<17:26,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████  | 3464/4288 [1:13:17<17:26,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████  | 3465/4288 [1:13:18<17:24,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████  | 3465/4288 [1:13:18<17:24,  1.27s/it, avr_loss=0.0852]
steps:  81%|████████  | 3466/4288 [1:13:19<17:23,  1.27s/it, avr_loss=0.0852]
steps:  81%|████████  | 3466/4288 [1:13:19<17:23,  1.27s/it, avr_loss=0.0852]
steps:  81%|████████  | 3467/4288 [1:13:21<17:22,  1.27s/it, avr_loss=0.0852]
steps:  81%|████████  | 3467/4288 [1:13:21<17:22,  1.27s/it, avr_loss=0.0852]
steps:  81%|████████  | 3468/4288 [1:13:22<17:20,  1.27s/it, avr_loss=0.0852]
steps:  81%|████████  | 3468/4288 [1:13:22<17:20,  1.27s/it, avr_loss=0.0849]
steps:  81%|████████  | 3469/4288 [1:13:23<17:19,  1.27s/it, avr_loss=0.0849]
steps:  81%|████████  | 3469/4288 [1:13:23<17:19,  1.27s/it, avr_loss=0.0848]
steps:  81%|████████  | 3470/4288 [1:13:24<17:18,  1.27s/it, avr_loss=0.0848]
steps:  81%|████████  | 3470/4288 [1:13:24<17:18,  1.27s/it, avr_loss=0.0846]
steps:  81%|████████  | 3471/4288 [1:13:26<17:17,  1.27s/it, avr_loss=0.0846]
steps:  81%|████████  | 3471/4288 [1:13:26<17:17,  1.27s/it, avr_loss=0.0846]
steps:  81%|████████  | 3472/4288 [1:13:27<17:15,  1.27s/it, avr_loss=0.0846]
steps:  81%|████████  | 3472/4288 [1:13:27<17:15,  1.27s/it, avr_loss=0.0849]
steps:  81%|████████  | 3473/4288 [1:13:28<17:14,  1.27s/it, avr_loss=0.0849]
steps:  81%|████████  | 3473/4288 [1:13:28<17:14,  1.27s/it, avr_loss=0.0849]
steps:  81%|████████  | 3474/4288 [1:13:30<17:13,  1.27s/it, avr_loss=0.0849]
steps:  81%|████████  | 3474/4288 [1:13:30<17:13,  1.27s/it, avr_loss=0.0852]
steps:  81%|████████  | 3475/4288 [1:13:31<17:12,  1.27s/it, avr_loss=0.0852]
steps:  81%|████████  | 3475/4288 [1:13:31<17:12,  1.27s/it, avr_loss=0.085] 
steps:  81%|████████  | 3476/4288 [1:13:32<17:10,  1.27s/it, avr_loss=0.085]
steps:  81%|████████  | 3476/4288 [1:13:32<17:10,  1.27s/it, avr_loss=0.085]
steps:  81%|████████  | 3477/4288 [1:13:33<17:09,  1.27s/it, avr_loss=0.085]
steps:  81%|████████  | 3477/4288 [1:13:33<17:09,  1.27s/it, avr_loss=0.0849]
steps:  81%|████████  | 3478/4288 [1:13:35<17:08,  1.27s/it, avr_loss=0.0849]
steps:  81%|████████  | 3478/4288 [1:13:35<17:08,  1.27s/it, avr_loss=0.0847]
steps:  81%|████████  | 3479/4288 [1:13:36<17:07,  1.27s/it, avr_loss=0.0847]
steps:  81%|████████  | 3479/4288 [1:13:36<17:07,  1.27s/it, avr_loss=0.0846]
steps:  81%|████████  | 3480/4288 [1:13:37<17:05,  1.27s/it, avr_loss=0.0846]
steps:  81%|████████  | 3480/4288 [1:13:37<17:05,  1.27s/it, avr_loss=0.0852]
steps:  81%|████████  | 3481/4288 [1:13:39<17:04,  1.27s/it, avr_loss=0.0852]
steps:  81%|████████  | 3481/4288 [1:13:39<17:04,  1.27s/it, avr_loss=0.0854]
steps:  81%|████████  | 3482/4288 [1:13:40<17:03,  1.27s/it, avr_loss=0.0854]
steps:  81%|████████  | 3482/4288 [1:13:40<17:03,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████  | 3483/4288 [1:13:41<17:02,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████  | 3483/4288 [1:13:41<17:02,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████▏ | 3484/4288 [1:13:43<17:00,  1.27s/it, avr_loss=0.0853]
steps:  81%|████████▏ | 3484/4288 [1:13:43<17:00,  1.27s/it, avr_loss=0.0856]2026-07-24 14:49:27 INFO     epoch is incremented. current_epoch: dataset.py:464
                             13, epoch: 14                                      
2026-07-24 14:49:27 INFO     epoch is incremented. current_epoch: dataset.py:464
                             13, epoch: 14                                      

steps:  81%|████████▏ | 3485/4288 [1:13:44<16:59,  1.27s/it, avr_loss=0.0856]
steps:  81%|████████▏ | 3485/4288 [1:13:44<16:59,  1.27s/it, avr_loss=0.0857]
steps:  81%|████████▏ | 3486/4288 [1:13:45<16:58,  1.27s/it, avr_loss=0.0857]
steps:  81%|████████▏ | 3486/4288 [1:13:45<16:58,  1.27s/it, avr_loss=0.0856]
steps:  81%|████████▏ | 3487/4288 [1:13:46<16:56,  1.27s/it, avr_loss=0.0856]
steps:  81%|████████▏ | 3487/4288 [1:13:46<16:56,  1.27s/it, avr_loss=0.086] 
steps:  81%|████████▏ | 3488/4288 [1:13:48<16:55,  1.27s/it, avr_loss=0.086]
steps:  81%|████████▏ | 3488/4288 [1:13:48<16:55,  1.27s/it, avr_loss=0.0861]
steps:  81%|████████▏ | 3489/4288 [1:13:49<16:54,  1.27s/it, avr_loss=0.0861]
steps:  81%|████████▏ | 3489/4288 [1:13:49<16:54,  1.27s/it, avr_loss=0.0859]
steps:  81%|████████▏ | 3490/4288 [1:13:50<16:53,  1.27s/it, avr_loss=0.0859]
steps:  81%|████████▏ | 3490/4288 [1:13:50<16:53,  1.27s/it, avr_loss=0.0861]
steps:  81%|████████▏ | 3491/4288 [1:13:52<16:51,  1.27s/it, avr_loss=0.0861]
steps:  81%|████████▏ | 3491/4288 [1:13:52<16:51,  1.27s/it, avr_loss=0.086] 
steps:  81%|████████▏ | 3492/4288 [1:13:53<16:50,  1.27s/it, avr_loss=0.086]
steps:  81%|████████▏ | 3492/4288 [1:13:53<16:50,  1.27s/it, avr_loss=0.0864]
steps:  81%|████████▏ | 3493/4288 [1:13:54<16:49,  1.27s/it, avr_loss=0.0864]
steps:  81%|████████▏ | 3493/4288 [1:13:54<16:49,  1.27s/it, avr_loss=0.0865]
steps:  81%|████████▏ | 3494/4288 [1:13:55<16:48,  1.27s/it, avr_loss=0.0865]
steps:  81%|████████▏ | 3494/4288 [1:13:55<16:48,  1.27s/it, avr_loss=0.0866]
steps:  82%|████████▏ | 3495/4288 [1:13:57<16:46,  1.27s/it, avr_loss=0.0866]
steps:  82%|████████▏ | 3495/4288 [1:13:57<16:46,  1.27s/it, avr_loss=0.0866]
steps:  82%|████████▏ | 3496/4288 [1:13:58<16:45,  1.27s/it, avr_loss=0.0866]
steps:  82%|████████▏ | 3496/4288 [1:13:58<16:45,  1.27s/it, avr_loss=0.0866]
steps:  82%|████████▏ | 3497/4288 [1:13:59<16:44,  1.27s/it, avr_loss=0.0866]
steps:  82%|████████▏ | 3497/4288 [1:13:59<16:44,  1.27s/it, avr_loss=0.0865]
steps:  82%|████████▏ | 3498/4288 [1:14:00<16:42,  1.27s/it, avr_loss=0.0865]
steps:  82%|████████▏ | 3498/4288 [1:14:00<16:42,  1.27s/it, avr_loss=0.0862]
steps:  82%|████████▏ | 3499/4288 [1:14:01<16:41,  1.27s/it, avr_loss=0.0862]
steps:  82%|████████▏ | 3499/4288 [1:14:01<16:41,  1.27s/it, avr_loss=0.0858]
steps:  82%|████████▏ | 3500/4288 [1:14:03<16:40,  1.27s/it, avr_loss=0.0858]
steps:  82%|████████▏ | 3500/4288 [1:14:03<16:40,  1.27s/it, avr_loss=0.0858]
steps:  82%|████████▏ | 3501/4288 [1:14:04<16:39,  1.27s/it, avr_loss=0.0858]
steps:  82%|████████▏ | 3501/4288 [1:14:04<16:39,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3502/4288 [1:14:06<16:37,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3502/4288 [1:14:06<16:37,  1.27s/it, avr_loss=0.0855]
steps:  82%|████████▏ | 3503/4288 [1:14:07<16:36,  1.27s/it, avr_loss=0.0855]
steps:  82%|████████▏ | 3503/4288 [1:14:07<16:36,  1.27s/it, avr_loss=0.0858]
steps:  82%|████████▏ | 3504/4288 [1:14:08<16:35,  1.27s/it, avr_loss=0.0858]
steps:  82%|████████▏ | 3504/4288 [1:14:08<16:35,  1.27s/it, avr_loss=0.0857]
steps:  82%|████████▏ | 3505/4288 [1:14:09<16:34,  1.27s/it, avr_loss=0.0857]
steps:  82%|████████▏ | 3505/4288 [1:14:09<16:34,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3506/4288 [1:14:11<16:32,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3506/4288 [1:14:11<16:32,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3507/4288 [1:14:12<16:31,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3507/4288 [1:14:12<16:31,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3508/4288 [1:14:13<16:30,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3508/4288 [1:14:13<16:30,  1.27s/it, avr_loss=0.0855]
steps:  82%|████████▏ | 3509/4288 [1:14:14<16:29,  1.27s/it, avr_loss=0.0855]
steps:  82%|████████▏ | 3509/4288 [1:14:14<16:29,  1.27s/it, avr_loss=0.0854]
steps:  82%|████████▏ | 3510/4288 [1:14:16<16:27,  1.27s/it, avr_loss=0.0854]
steps:  82%|████████▏ | 3510/4288 [1:14:16<16:27,  1.27s/it, avr_loss=0.0855]
steps:  82%|████████▏ | 3511/4288 [1:14:17<16:26,  1.27s/it, avr_loss=0.0855]
steps:  82%|████████▏ | 3511/4288 [1:14:17<16:26,  1.27s/it, avr_loss=0.0854]
steps:  82%|████████▏ | 3512/4288 [1:14:18<16:25,  1.27s/it, avr_loss=0.0854]
steps:  82%|████████▏ | 3512/4288 [1:14:18<16:25,  1.27s/it, avr_loss=0.0852]
steps:  82%|████████▏ | 3513/4288 [1:14:20<16:23,  1.27s/it, avr_loss=0.0852]
steps:  82%|████████▏ | 3513/4288 [1:14:20<16:23,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3514/4288 [1:14:21<16:22,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3514/4288 [1:14:21<16:22,  1.27s/it, avr_loss=0.0854]
steps:  82%|████████▏ | 3515/4288 [1:14:22<16:21,  1.27s/it, avr_loss=0.0854]
steps:  82%|████████▏ | 3515/4288 [1:14:22<16:21,  1.27s/it, avr_loss=0.0853]
steps:  82%|████████▏ | 3516/4288 [1:14:24<16:20,  1.27s/it, avr_loss=0.0853]
steps:  82%|████████▏ | 3516/4288 [1:14:24<16:20,  1.27s/it, avr_loss=0.0851]
steps:  82%|████████▏ | 3517/4288 [1:14:25<16:18,  1.27s/it, avr_loss=0.0851]
steps:  82%|████████▏ | 3517/4288 [1:14:25<16:18,  1.27s/it, avr_loss=0.085] 
steps:  82%|████████▏ | 3518/4288 [1:14:26<16:17,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3518/4288 [1:14:26<16:17,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3519/4288 [1:14:27<16:16,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3519/4288 [1:14:27<16:16,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3520/4288 [1:14:29<16:15,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3520/4288 [1:14:29<16:15,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3521/4288 [1:14:30<16:13,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3521/4288 [1:14:30<16:13,  1.27s/it, avr_loss=0.0848]
steps:  82%|████████▏ | 3522/4288 [1:14:31<16:12,  1.27s/it, avr_loss=0.0848]
steps:  82%|████████▏ | 3522/4288 [1:14:31<16:12,  1.27s/it, avr_loss=0.0846]
steps:  82%|████████▏ | 3523/4288 [1:14:32<16:11,  1.27s/it, avr_loss=0.0846]
steps:  82%|████████▏ | 3523/4288 [1:14:32<16:11,  1.27s/it, avr_loss=0.0847]
steps:  82%|████████▏ | 3524/4288 [1:14:33<16:09,  1.27s/it, avr_loss=0.0847]
steps:  82%|████████▏ | 3524/4288 [1:14:33<16:09,  1.27s/it, avr_loss=0.0851]
steps:  82%|████████▏ | 3525/4288 [1:14:35<16:08,  1.27s/it, avr_loss=0.0851]
steps:  82%|████████▏ | 3525/4288 [1:14:35<16:08,  1.27s/it, avr_loss=0.085] 
steps:  82%|████████▏ | 3526/4288 [1:14:36<16:07,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3526/4288 [1:14:36<16:07,  1.27s/it, avr_loss=0.0853]
steps:  82%|████████▏ | 3527/4288 [1:14:37<16:06,  1.27s/it, avr_loss=0.0853]
steps:  82%|████████▏ | 3527/4288 [1:14:37<16:06,  1.27s/it, avr_loss=0.0854]
steps:  82%|████████▏ | 3528/4288 [1:14:38<16:04,  1.27s/it, avr_loss=0.0854]
steps:  82%|████████▏ | 3528/4288 [1:14:38<16:04,  1.27s/it, avr_loss=0.0853]
steps:  82%|████████▏ | 3529/4288 [1:14:40<16:03,  1.27s/it, avr_loss=0.0853]
steps:  82%|████████▏ | 3529/4288 [1:14:40<16:03,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3530/4288 [1:14:41<16:02,  1.27s/it, avr_loss=0.0856]
steps:  82%|████████▏ | 3530/4288 [1:14:41<16:02,  1.27s/it, avr_loss=0.0852]
steps:  82%|████████▏ | 3531/4288 [1:14:42<16:01,  1.27s/it, avr_loss=0.0852]
steps:  82%|████████▏ | 3531/4288 [1:14:42<16:01,  1.27s/it, avr_loss=0.0853]
steps:  82%|████████▏ | 3532/4288 [1:14:44<15:59,  1.27s/it, avr_loss=0.0853]
steps:  82%|████████▏ | 3532/4288 [1:14:44<15:59,  1.27s/it, avr_loss=0.0853]
steps:  82%|████████▏ | 3533/4288 [1:14:45<15:58,  1.27s/it, avr_loss=0.0853]
steps:  82%|████████▏ | 3533/4288 [1:14:45<15:58,  1.27s/it, avr_loss=0.085] 
steps:  82%|████████▏ | 3534/4288 [1:14:46<15:57,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3534/4288 [1:14:46<15:57,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3535/4288 [1:14:47<15:55,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3535/4288 [1:14:47<15:55,  1.27s/it, avr_loss=0.0852]
steps:  82%|████████▏ | 3536/4288 [1:14:49<15:54,  1.27s/it, avr_loss=0.0852]
steps:  82%|████████▏ | 3536/4288 [1:14:49<15:54,  1.27s/it, avr_loss=0.085] 
steps:  82%|████████▏ | 3537/4288 [1:14:50<15:53,  1.27s/it, avr_loss=0.085]
steps:  82%|████████▏ | 3537/4288 [1:14:50<15:53,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3538/4288 [1:14:51<15:52,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3538/4288 [1:14:51<15:52,  1.27s/it, avr_loss=0.0852]
steps:  83%|████████▎ | 3539/4288 [1:14:53<15:50,  1.27s/it, avr_loss=0.0852]
steps:  83%|████████▎ | 3539/4288 [1:14:53<15:50,  1.27s/it, avr_loss=0.0852]
steps:  83%|████████▎ | 3540/4288 [1:14:54<15:49,  1.27s/it, avr_loss=0.0852]
steps:  83%|████████▎ | 3540/4288 [1:14:54<15:49,  1.27s/it, avr_loss=0.0854]
steps:  83%|████████▎ | 3541/4288 [1:14:55<15:48,  1.27s/it, avr_loss=0.0854]
steps:  83%|████████▎ | 3541/4288 [1:14:55<15:48,  1.27s/it, avr_loss=0.0853]
steps:  83%|████████▎ | 3542/4288 [1:14:56<15:47,  1.27s/it, avr_loss=0.0853]
steps:  83%|████████▎ | 3542/4288 [1:14:56<15:47,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3543/4288 [1:14:57<15:45,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3543/4288 [1:14:57<15:45,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3544/4288 [1:14:59<15:44,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3544/4288 [1:14:59<15:44,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3545/4288 [1:15:00<15:43,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3545/4288 [1:15:00<15:43,  1.27s/it, avr_loss=0.0846]
steps:  83%|████████▎ | 3546/4288 [1:15:01<15:41,  1.27s/it, avr_loss=0.0846]
steps:  83%|████████▎ | 3546/4288 [1:15:01<15:41,  1.27s/it, avr_loss=0.0846]
steps:  83%|████████▎ | 3547/4288 [1:15:03<15:40,  1.27s/it, avr_loss=0.0846]
steps:  83%|████████▎ | 3547/4288 [1:15:03<15:40,  1.27s/it, avr_loss=0.0844]
steps:  83%|████████▎ | 3548/4288 [1:15:04<15:39,  1.27s/it, avr_loss=0.0844]
steps:  83%|████████▎ | 3548/4288 [1:15:04<15:39,  1.27s/it, avr_loss=0.0844]
steps:  83%|████████▎ | 3549/4288 [1:15:05<15:38,  1.27s/it, avr_loss=0.0844]
steps:  83%|████████▎ | 3549/4288 [1:15:05<15:38,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3550/4288 [1:15:07<15:36,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3550/4288 [1:15:07<15:36,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3551/4288 [1:15:08<15:35,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3551/4288 [1:15:08<15:35,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3552/4288 [1:15:09<15:34,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3552/4288 [1:15:09<15:34,  1.27s/it, avr_loss=0.0851]
steps:  83%|████████▎ | 3553/4288 [1:15:11<15:33,  1.27s/it, avr_loss=0.0851]
steps:  83%|████████▎ | 3553/4288 [1:15:11<15:33,  1.27s/it, avr_loss=0.085] 
steps:  83%|████████▎ | 3554/4288 [1:15:12<15:31,  1.27s/it, avr_loss=0.085]
steps:  83%|████████▎ | 3554/4288 [1:15:12<15:31,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3555/4288 [1:15:13<15:30,  1.27s/it, avr_loss=0.0848]
steps:  83%|████████▎ | 3555/4288 [1:15:13<15:30,  1.27s/it, avr_loss=0.085] 
steps:  83%|████████▎ | 3556/4288 [1:15:14<15:29,  1.27s/it, avr_loss=0.085]
steps:  83%|████████▎ | 3556/4288 [1:15:14<15:29,  1.27s/it, avr_loss=0.0853]
steps:  83%|████████▎ | 3557/4288 [1:15:15<15:28,  1.27s/it, avr_loss=0.0853]
steps:  83%|████████▎ | 3557/4288 [1:15:15<15:28,  1.27s/it, avr_loss=0.0854]
steps:  83%|████████▎ | 3558/4288 [1:15:17<15:26,  1.27s/it, avr_loss=0.0854]
steps:  83%|████████▎ | 3558/4288 [1:15:17<15:26,  1.27s/it, avr_loss=0.0852]
steps:  83%|████████▎ | 3559/4288 [1:15:18<15:25,  1.27s/it, avr_loss=0.0852]
steps:  83%|████████▎ | 3559/4288 [1:15:18<15:25,  1.27s/it, avr_loss=0.0855]
steps:  83%|████████▎ | 3560/4288 [1:15:19<15:24,  1.27s/it, avr_loss=0.0855]
steps:  83%|████████▎ | 3560/4288 [1:15:19<15:24,  1.27s/it, avr_loss=0.0854]
steps:  83%|████████▎ | 3561/4288 [1:15:21<15:23,  1.27s/it, avr_loss=0.0854]
steps:  83%|████████▎ | 3561/4288 [1:15:21<15:23,  1.27s/it, avr_loss=0.0854]
steps:  83%|████████▎ | 3562/4288 [1:15:22<15:21,  1.27s/it, avr_loss=0.0854]
steps:  83%|████████▎ | 3562/4288 [1:15:22<15:21,  1.27s/it, avr_loss=0.0854]
steps:  83%|████████▎ | 3563/4288 [1:15:23<15:20,  1.27s/it, avr_loss=0.0854]
steps:  83%|████████▎ | 3563/4288 [1:15:23<15:20,  1.27s/it, avr_loss=0.0855]
steps:  83%|████████▎ | 3564/4288 [1:15:24<15:19,  1.27s/it, avr_loss=0.0855]
steps:  83%|████████▎ | 3564/4288 [1:15:24<15:19,  1.27s/it, avr_loss=0.0857]
steps:  83%|████████▎ | 3565/4288 [1:15:25<15:17,  1.27s/it, avr_loss=0.0857]
steps:  83%|████████▎ | 3565/4288 [1:15:25<15:17,  1.27s/it, avr_loss=0.0857]
steps:  83%|████████▎ | 3566/4288 [1:15:27<15:16,  1.27s/it, avr_loss=0.0857]
steps:  83%|████████▎ | 3566/4288 [1:15:27<15:16,  1.27s/it, avr_loss=0.0856]
steps:  83%|████████▎ | 3567/4288 [1:15:28<15:15,  1.27s/it, avr_loss=0.0856]
steps:  83%|████████▎ | 3567/4288 [1:15:28<15:15,  1.27s/it, avr_loss=0.0858]
steps:  83%|████████▎ | 3568/4288 [1:15:29<15:14,  1.27s/it, avr_loss=0.0858]
steps:  83%|████████▎ | 3568/4288 [1:15:29<15:14,  1.27s/it, avr_loss=0.0858]
steps:  83%|████████▎ | 3569/4288 [1:15:31<15:12,  1.27s/it, avr_loss=0.0858]
steps:  83%|████████▎ | 3569/4288 [1:15:31<15:12,  1.27s/it, avr_loss=0.0862]
steps:  83%|████████▎ | 3570/4288 [1:15:32<15:11,  1.27s/it, avr_loss=0.0862]
steps:  83%|████████▎ | 3570/4288 [1:15:32<15:11,  1.27s/it, avr_loss=0.0863]
steps:  83%|████████▎ | 3571/4288 [1:15:33<15:10,  1.27s/it, avr_loss=0.0863]
steps:  83%|████████▎ | 3571/4288 [1:15:33<15:10,  1.27s/it, avr_loss=0.0863]
steps:  83%|████████▎ | 3572/4288 [1:15:34<15:09,  1.27s/it, avr_loss=0.0863]
steps:  83%|████████▎ | 3572/4288 [1:15:34<15:09,  1.27s/it, avr_loss=0.0864]
steps:  83%|████████▎ | 3573/4288 [1:15:36<15:07,  1.27s/it, avr_loss=0.0864]
steps:  83%|████████▎ | 3573/4288 [1:15:36<15:07,  1.27s/it, avr_loss=0.0864]
steps:  83%|████████▎ | 3574/4288 [1:15:37<15:06,  1.27s/it, avr_loss=0.0864]
steps:  83%|████████▎ | 3574/4288 [1:15:37<15:06,  1.27s/it, avr_loss=0.0864]
steps:  83%|████████▎ | 3575/4288 [1:15:38<15:05,  1.27s/it, avr_loss=0.0864]
steps:  83%|████████▎ | 3575/4288 [1:15:38<15:05,  1.27s/it, avr_loss=0.0857]
steps:  83%|████████▎ | 3576/4288 [1:15:40<15:03,  1.27s/it, avr_loss=0.0857]
steps:  83%|████████▎ | 3576/4288 [1:15:40<15:03,  1.27s/it, avr_loss=0.0857]
steps:  83%|████████▎ | 3577/4288 [1:15:41<15:02,  1.27s/it, avr_loss=0.0857]
steps:  83%|████████▎ | 3577/4288 [1:15:41<15:02,  1.27s/it, avr_loss=0.0858]
steps:  83%|████████▎ | 3578/4288 [1:15:42<15:01,  1.27s/it, avr_loss=0.0858]
steps:  83%|████████▎ | 3578/4288 [1:15:42<15:01,  1.27s/it, avr_loss=0.0857]
steps:  83%|████████▎ | 3579/4288 [1:15:43<15:00,  1.27s/it, avr_loss=0.0857]
steps:  83%|████████▎ | 3579/4288 [1:15:43<15:00,  1.27s/it, avr_loss=0.0858]
steps:  83%|████████▎ | 3580/4288 [1:15:45<14:58,  1.27s/it, avr_loss=0.0858]
steps:  83%|████████▎ | 3580/4288 [1:15:45<14:58,  1.27s/it, avr_loss=0.0861]
steps:  84%|████████▎ | 3581/4288 [1:15:46<14:57,  1.27s/it, avr_loss=0.0861]
steps:  84%|████████▎ | 3581/4288 [1:15:46<14:57,  1.27s/it, avr_loss=0.086] 
steps:  84%|████████▎ | 3582/4288 [1:15:47<14:56,  1.27s/it, avr_loss=0.086]
steps:  84%|████████▎ | 3582/4288 [1:15:47<14:56,  1.27s/it, avr_loss=0.0861]
steps:  84%|████████▎ | 3583/4288 [1:15:48<14:55,  1.27s/it, avr_loss=0.0861]
steps:  84%|████████▎ | 3583/4288 [1:15:48<14:55,  1.27s/it, avr_loss=0.0859]
steps:  84%|████████▎ | 3584/4288 [1:15:50<14:53,  1.27s/it, avr_loss=0.0859]
steps:  84%|████████▎ | 3584/4288 [1:15:50<14:53,  1.27s/it, avr_loss=0.0857]
steps:  84%|████████▎ | 3585/4288 [1:15:51<14:52,  1.27s/it, avr_loss=0.0857]
steps:  84%|████████▎ | 3585/4288 [1:15:51<14:52,  1.27s/it, avr_loss=0.0856]
steps:  84%|████████▎ | 3586/4288 [1:15:52<14:51,  1.27s/it, avr_loss=0.0856]
steps:  84%|████████▎ | 3586/4288 [1:15:52<14:51,  1.27s/it, avr_loss=0.0855]
steps:  84%|████████▎ | 3587/4288 [1:15:53<14:49,  1.27s/it, avr_loss=0.0855]
steps:  84%|████████▎ | 3587/4288 [1:15:53<14:49,  1.27s/it, avr_loss=0.0851]
steps:  84%|████████▎ | 3588/4288 [1:15:55<14:48,  1.27s/it, avr_loss=0.0851]
steps:  84%|████████▎ | 3588/4288 [1:15:55<14:48,  1.27s/it, avr_loss=0.0851]
steps:  84%|████████▎ | 3589/4288 [1:15:56<14:47,  1.27s/it, avr_loss=0.0851]
steps:  84%|████████▎ | 3589/4288 [1:15:56<14:47,  1.27s/it, avr_loss=0.0852]
steps:  84%|████████▎ | 3590/4288 [1:15:57<14:46,  1.27s/it, avr_loss=0.0852]
steps:  84%|████████▎ | 3590/4288 [1:15:57<14:46,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▎ | 3591/4288 [1:15:58<14:44,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▎ | 3591/4288 [1:15:58<14:44,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3592/4288 [1:16:00<14:43,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3592/4288 [1:16:00<14:43,  1.27s/it, avr_loss=0.0851]
steps:  84%|████████▍ | 3593/4288 [1:16:01<14:42,  1.27s/it, avr_loss=0.0851]
steps:  84%|████████▍ | 3593/4288 [1:16:01<14:42,  1.27s/it, avr_loss=0.085] 
steps:  84%|████████▍ | 3594/4288 [1:16:02<14:41,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3594/4288 [1:16:02<14:41,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3595/4288 [1:16:04<14:39,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3595/4288 [1:16:04<14:39,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3596/4288 [1:16:05<14:38,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3596/4288 [1:16:05<14:38,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3597/4288 [1:16:06<14:37,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3597/4288 [1:16:06<14:37,  1.27s/it, avr_loss=0.0853]
steps:  84%|████████▍ | 3598/4288 [1:16:07<14:35,  1.27s/it, avr_loss=0.0853]
steps:  84%|████████▍ | 3598/4288 [1:16:07<14:35,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3599/4288 [1:16:09<14:34,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3599/4288 [1:16:09<14:34,  1.27s/it, avr_loss=0.0848]
steps:  84%|████████▍ | 3600/4288 [1:16:10<14:33,  1.27s/it, avr_loss=0.0848]
steps:  84%|████████▍ | 3600/4288 [1:16:10<14:33,  1.27s/it, avr_loss=0.085] 
steps:  84%|████████▍ | 3601/4288 [1:16:11<14:32,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3601/4288 [1:16:11<14:32,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3602/4288 [1:16:12<14:30,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3602/4288 [1:16:12<14:30,  1.27s/it, avr_loss=0.0852]
steps:  84%|████████▍ | 3603/4288 [1:16:14<14:29,  1.27s/it, avr_loss=0.0852]
steps:  84%|████████▍ | 3603/4288 [1:16:14<14:29,  1.27s/it, avr_loss=0.0851]
steps:  84%|████████▍ | 3604/4288 [1:16:15<14:28,  1.27s/it, avr_loss=0.0851]
steps:  84%|████████▍ | 3604/4288 [1:16:15<14:28,  1.27s/it, avr_loss=0.085] 
steps:  84%|████████▍ | 3605/4288 [1:16:16<14:27,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3605/4288 [1:16:16<14:27,  1.27s/it, avr_loss=0.0848]
steps:  84%|████████▍ | 3606/4288 [1:16:17<14:25,  1.27s/it, avr_loss=0.0848]
steps:  84%|████████▍ | 3606/4288 [1:16:17<14:25,  1.27s/it, avr_loss=0.085] 
steps:  84%|████████▍ | 3607/4288 [1:16:19<14:24,  1.27s/it, avr_loss=0.085]
steps:  84%|████████▍ | 3607/4288 [1:16:19<14:24,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3608/4288 [1:16:20<14:23,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3608/4288 [1:16:20<14:23,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3609/4288 [1:16:21<14:22,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3609/4288 [1:16:21<14:22,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3610/4288 [1:16:23<14:20,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3610/4288 [1:16:23<14:20,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3611/4288 [1:16:24<14:19,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3611/4288 [1:16:24<14:19,  1.27s/it, avr_loss=0.0848]
steps:  84%|████████▍ | 3612/4288 [1:16:25<14:18,  1.27s/it, avr_loss=0.0848]
steps:  84%|████████▍ | 3612/4288 [1:16:25<14:18,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3613/4288 [1:16:26<14:16,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3613/4288 [1:16:26<14:16,  1.27s/it, avr_loss=0.0845]
steps:  84%|████████▍ | 3614/4288 [1:16:28<14:15,  1.27s/it, avr_loss=0.0845]
steps:  84%|████████▍ | 3614/4288 [1:16:28<14:15,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3615/4288 [1:16:29<14:14,  1.27s/it, avr_loss=0.0847]
steps:  84%|████████▍ | 3615/4288 [1:16:29<14:14,  1.27s/it, avr_loss=0.0843]
steps:  84%|████████▍ | 3616/4288 [1:16:30<14:13,  1.27s/it, avr_loss=0.0843]
steps:  84%|████████▍ | 3616/4288 [1:16:30<14:13,  1.27s/it, avr_loss=0.0841]
steps:  84%|████████▍ | 3617/4288 [1:16:31<14:11,  1.27s/it, avr_loss=0.0841]
steps:  84%|████████▍ | 3617/4288 [1:16:31<14:11,  1.27s/it, avr_loss=0.0842]
steps:  84%|████████▍ | 3618/4288 [1:16:33<14:10,  1.27s/it, avr_loss=0.0842]
steps:  84%|████████▍ | 3618/4288 [1:16:33<14:10,  1.27s/it, avr_loss=0.0842]
steps:  84%|████████▍ | 3619/4288 [1:16:34<14:09,  1.27s/it, avr_loss=0.0842]
steps:  84%|████████▍ | 3619/4288 [1:16:34<14:09,  1.27s/it, avr_loss=0.0844]
steps:  84%|████████▍ | 3620/4288 [1:16:35<14:08,  1.27s/it, avr_loss=0.0844]
steps:  84%|████████▍ | 3620/4288 [1:16:35<14:08,  1.27s/it, avr_loss=0.0834]
steps:  84%|████████▍ | 3621/4288 [1:16:37<14:06,  1.27s/it, avr_loss=0.0834]
steps:  84%|████████▍ | 3621/4288 [1:16:37<14:06,  1.27s/it, avr_loss=0.0827]
steps:  84%|████████▍ | 3622/4288 [1:16:38<14:05,  1.27s/it, avr_loss=0.0827]
steps:  84%|████████▍ | 3622/4288 [1:16:38<14:05,  1.27s/it, avr_loss=0.0832]
steps:  84%|████████▍ | 3623/4288 [1:16:39<14:04,  1.27s/it, avr_loss=0.0832]
steps:  84%|████████▍ | 3623/4288 [1:16:39<14:04,  1.27s/it, avr_loss=0.0831]
steps:  85%|████████▍ | 3624/4288 [1:16:41<14:03,  1.27s/it, avr_loss=0.0831]
steps:  85%|████████▍ | 3624/4288 [1:16:41<14:03,  1.27s/it, avr_loss=0.0832]
steps:  85%|████████▍ | 3625/4288 [1:16:42<14:01,  1.27s/it, avr_loss=0.0832]
steps:  85%|████████▍ | 3625/4288 [1:16:42<14:01,  1.27s/it, avr_loss=0.0831]
steps:  85%|████████▍ | 3626/4288 [1:16:43<14:00,  1.27s/it, avr_loss=0.0831]
steps:  85%|████████▍ | 3626/4288 [1:16:43<14:00,  1.27s/it, avr_loss=0.0831]
steps:  85%|████████▍ | 3627/4288 [1:16:44<13:59,  1.27s/it, avr_loss=0.0831]
steps:  85%|████████▍ | 3627/4288 [1:16:44<13:59,  1.27s/it, avr_loss=0.0836]
steps:  85%|████████▍ | 3628/4288 [1:16:45<13:57,  1.27s/it, avr_loss=0.0836]
steps:  85%|████████▍ | 3628/4288 [1:16:45<13:57,  1.27s/it, avr_loss=0.0839]
steps:  85%|████████▍ | 3629/4288 [1:16:47<13:56,  1.27s/it, avr_loss=0.0839]
steps:  85%|████████▍ | 3629/4288 [1:16:47<13:56,  1.27s/it, avr_loss=0.0838]
steps:  85%|████████▍ | 3630/4288 [1:16:48<13:55,  1.27s/it, avr_loss=0.0838]
steps:  85%|████████▍ | 3630/4288 [1:16:48<13:55,  1.27s/it, avr_loss=0.0841]
steps:  85%|████████▍ | 3631/4288 [1:16:49<13:54,  1.27s/it, avr_loss=0.0841]
steps:  85%|████████▍ | 3631/4288 [1:16:49<13:54,  1.27s/it, avr_loss=0.0841]
steps:  85%|████████▍ | 3632/4288 [1:16:51<13:52,  1.27s/it, avr_loss=0.0841]
steps:  85%|████████▍ | 3632/4288 [1:16:51<13:52,  1.27s/it, avr_loss=0.0841]
steps:  85%|████████▍ | 3633/4288 [1:16:52<13:51,  1.27s/it, avr_loss=0.0841]
steps:  85%|████████▍ | 3633/4288 [1:16:52<13:51,  1.27s/it, avr_loss=0.084] 
steps:  85%|████████▍ | 3634/4288 [1:16:53<13:50,  1.27s/it, avr_loss=0.084]
steps:  85%|████████▍ | 3634/4288 [1:16:53<13:50,  1.27s/it, avr_loss=0.0839]
steps:  85%|████████▍ | 3635/4288 [1:16:54<13:49,  1.27s/it, avr_loss=0.0839]
steps:  85%|████████▍ | 3635/4288 [1:16:54<13:49,  1.27s/it, avr_loss=0.0834]
steps:  85%|████████▍ | 3636/4288 [1:16:56<13:47,  1.27s/it, avr_loss=0.0834]
steps:  85%|████████▍ | 3636/4288 [1:16:56<13:47,  1.27s/it, avr_loss=0.0839]
steps:  85%|████████▍ | 3637/4288 [1:16:57<13:46,  1.27s/it, avr_loss=0.0839]
steps:  85%|████████▍ | 3637/4288 [1:16:57<13:46,  1.27s/it, avr_loss=0.0841]
steps:  85%|████████▍ | 3638/4288 [1:16:58<13:45,  1.27s/it, avr_loss=0.0841]
steps:  85%|████████▍ | 3638/4288 [1:16:58<13:45,  1.27s/it, avr_loss=0.084] 
steps:  85%|████████▍ | 3639/4288 [1:17:00<13:43,  1.27s/it, avr_loss=0.084]
steps:  85%|████████▍ | 3639/4288 [1:17:00<13:43,  1.27s/it, avr_loss=0.0843]
steps:  85%|████████▍ | 3640/4288 [1:17:01<13:42,  1.27s/it, avr_loss=0.0843]
steps:  85%|████████▍ | 3640/4288 [1:17:01<13:42,  1.27s/it, avr_loss=0.0848]
steps:  85%|████████▍ | 3641/4288 [1:17:02<13:41,  1.27s/it, avr_loss=0.0848]
steps:  85%|████████▍ | 3641/4288 [1:17:02<13:41,  1.27s/it, avr_loss=0.0849]
steps:  85%|████████▍ | 3642/4288 [1:17:03<13:40,  1.27s/it, avr_loss=0.0849]
steps:  85%|████████▍ | 3642/4288 [1:17:03<13:40,  1.27s/it, avr_loss=0.085] 
steps:  85%|████████▍ | 3643/4288 [1:17:05<13:38,  1.27s/it, avr_loss=0.085]
steps:  85%|████████▍ | 3643/4288 [1:17:05<13:38,  1.27s/it, avr_loss=0.0849]
steps:  85%|████████▍ | 3644/4288 [1:17:06<13:37,  1.27s/it, avr_loss=0.0849]
steps:  85%|████████▍ | 3644/4288 [1:17:06<13:37,  1.27s/it, avr_loss=0.085] 
steps:  85%|████████▌ | 3645/4288 [1:17:07<13:36,  1.27s/it, avr_loss=0.085]
steps:  85%|████████▌ | 3645/4288 [1:17:07<13:36,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3646/4288 [1:17:09<13:35,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3646/4288 [1:17:09<13:35,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3647/4288 [1:17:10<13:33,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3647/4288 [1:17:10<13:33,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3648/4288 [1:17:11<13:32,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3648/4288 [1:17:11<13:32,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3649/4288 [1:17:13<13:31,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3649/4288 [1:17:13<13:31,  1.27s/it, avr_loss=0.0854]
steps:  85%|████████▌ | 3650/4288 [1:17:14<13:30,  1.27s/it, avr_loss=0.0854]
steps:  85%|████████▌ | 3650/4288 [1:17:14<13:30,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3651/4288 [1:17:15<13:28,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3651/4288 [1:17:15<13:28,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3652/4288 [1:17:16<13:27,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3652/4288 [1:17:16<13:27,  1.27s/it, avr_loss=0.0855]
steps:  85%|████████▌ | 3653/4288 [1:17:18<13:26,  1.27s/it, avr_loss=0.0855]
steps:  85%|████████▌ | 3653/4288 [1:17:18<13:26,  1.27s/it, avr_loss=0.0855]
steps:  85%|████████▌ | 3654/4288 [1:17:19<13:24,  1.27s/it, avr_loss=0.0855]
steps:  85%|████████▌ | 3654/4288 [1:17:19<13:24,  1.27s/it, avr_loss=0.0855]
steps:  85%|████████▌ | 3655/4288 [1:17:20<13:23,  1.27s/it, avr_loss=0.0855]
steps:  85%|████████▌ | 3655/4288 [1:17:20<13:23,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3656/4288 [1:17:21<13:22,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3656/4288 [1:17:21<13:22,  1.27s/it, avr_loss=0.0854]
steps:  85%|████████▌ | 3657/4288 [1:17:23<13:21,  1.27s/it, avr_loss=0.0854]
steps:  85%|████████▌ | 3657/4288 [1:17:23<13:21,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3658/4288 [1:17:24<13:19,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3658/4288 [1:17:24<13:19,  1.27s/it, avr_loss=0.0854]
steps:  85%|████████▌ | 3659/4288 [1:17:25<13:18,  1.27s/it, avr_loss=0.0854]
steps:  85%|████████▌ | 3659/4288 [1:17:25<13:18,  1.27s/it, avr_loss=0.0856]
steps:  85%|████████▌ | 3660/4288 [1:17:27<13:17,  1.27s/it, avr_loss=0.0856]
steps:  85%|████████▌ | 3660/4288 [1:17:27<13:17,  1.27s/it, avr_loss=0.0856]
steps:  85%|████████▌ | 3661/4288 [1:17:28<13:16,  1.27s/it, avr_loss=0.0856]
steps:  85%|████████▌ | 3661/4288 [1:17:28<13:16,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3662/4288 [1:17:29<13:14,  1.27s/it, avr_loss=0.0853]
steps:  85%|████████▌ | 3662/4288 [1:17:29<13:14,  1.27s/it, avr_loss=0.0852]
steps:  85%|████████▌ | 3663/4288 [1:17:30<13:13,  1.27s/it, avr_loss=0.0852]
steps:  85%|████████▌ | 3663/4288 [1:17:30<13:13,  1.27s/it, avr_loss=0.0852]
steps:  85%|████████▌ | 3664/4288 [1:17:31<13:12,  1.27s/it, avr_loss=0.0852]
steps:  85%|████████▌ | 3664/4288 [1:17:31<13:12,  1.27s/it, avr_loss=0.0852]
steps:  85%|████████▌ | 3665/4288 [1:17:33<13:10,  1.27s/it, avr_loss=0.0852]
steps:  85%|████████▌ | 3665/4288 [1:17:33<13:10,  1.27s/it, avr_loss=0.0852]
steps:  85%|████████▌ | 3666/4288 [1:17:34<13:09,  1.27s/it, avr_loss=0.0852]
steps:  85%|████████▌ | 3666/4288 [1:17:34<13:09,  1.27s/it, avr_loss=0.0851]
steps:  86%|████████▌ | 3667/4288 [1:17:35<13:08,  1.27s/it, avr_loss=0.0851]
steps:  86%|████████▌ | 3667/4288 [1:17:35<13:08,  1.27s/it, avr_loss=0.085] 
steps:  86%|████████▌ | 3668/4288 [1:17:36<13:07,  1.27s/it, avr_loss=0.085]
steps:  86%|████████▌ | 3668/4288 [1:17:36<13:07,  1.27s/it, avr_loss=0.0851]
steps:  86%|████████▌ | 3669/4288 [1:17:37<13:05,  1.27s/it, avr_loss=0.0851]
steps:  86%|████████▌ | 3669/4288 [1:17:37<13:05,  1.27s/it, avr_loss=0.0847]
steps:  86%|████████▌ | 3670/4288 [1:17:39<13:04,  1.27s/it, avr_loss=0.0847]
steps:  86%|████████▌ | 3670/4288 [1:17:39<13:04,  1.27s/it, avr_loss=0.0847]
steps:  86%|████████▌ | 3671/4288 [1:17:40<13:03,  1.27s/it, avr_loss=0.0847]
steps:  86%|████████▌ | 3671/4288 [1:17:40<13:03,  1.27s/it, avr_loss=0.0845]
steps:  86%|████████▌ | 3672/4288 [1:17:41<13:02,  1.27s/it, avr_loss=0.0845]
steps:  86%|████████▌ | 3672/4288 [1:17:41<13:02,  1.27s/it, avr_loss=0.0846]
steps:  86%|████████▌ | 3673/4288 [1:17:43<13:00,  1.27s/it, avr_loss=0.0846]
steps:  86%|████████▌ | 3673/4288 [1:17:43<13:00,  1.27s/it, avr_loss=0.0839]
steps:  86%|████████▌ | 3674/4288 [1:17:44<12:59,  1.27s/it, avr_loss=0.0839]
steps:  86%|████████▌ | 3674/4288 [1:17:44<12:59,  1.27s/it, avr_loss=0.0837]
steps:  86%|████████▌ | 3675/4288 [1:17:45<12:58,  1.27s/it, avr_loss=0.0837]
steps:  86%|████████▌ | 3675/4288 [1:17:45<12:58,  1.27s/it, avr_loss=0.0839]
steps:  86%|████████▌ | 3676/4288 [1:17:46<12:56,  1.27s/it, avr_loss=0.0839]
steps:  86%|████████▌ | 3676/4288 [1:17:46<12:56,  1.27s/it, avr_loss=0.0838]
steps:  86%|████████▌ | 3677/4288 [1:17:47<12:55,  1.27s/it, avr_loss=0.0838]
steps:  86%|████████▌ | 3677/4288 [1:17:47<12:55,  1.27s/it, avr_loss=0.0838]
steps:  86%|████████▌ | 3678/4288 [1:17:49<12:54,  1.27s/it, avr_loss=0.0838]
steps:  86%|████████▌ | 3678/4288 [1:17:49<12:54,  1.27s/it, avr_loss=0.0839]
steps:  86%|████████▌ | 3679/4288 [1:17:50<12:53,  1.27s/it, avr_loss=0.0839]
steps:  86%|████████▌ | 3679/4288 [1:17:50<12:53,  1.27s/it, avr_loss=0.0839]
steps:  86%|████████▌ | 3680/4288 [1:17:51<12:51,  1.27s/it, avr_loss=0.0839]
steps:  86%|████████▌ | 3680/4288 [1:17:51<12:51,  1.27s/it, avr_loss=0.0838]
steps:  86%|████████▌ | 3681/4288 [1:17:53<12:50,  1.27s/it, avr_loss=0.0838]
steps:  86%|████████▌ | 3681/4288 [1:17:53<12:50,  1.27s/it, avr_loss=0.0836]
steps:  86%|████████▌ | 3682/4288 [1:17:54<12:49,  1.27s/it, avr_loss=0.0836]
steps:  86%|████████▌ | 3682/4288 [1:17:54<12:49,  1.27s/it, avr_loss=0.0839]
steps:  86%|████████▌ | 3683/4288 [1:17:55<12:48,  1.27s/it, avr_loss=0.0839]
steps:  86%|████████▌ | 3683/4288 [1:17:55<12:48,  1.27s/it, avr_loss=0.084] 
steps:  86%|████████▌ | 3684/4288 [1:17:56<12:46,  1.27s/it, avr_loss=0.084]
steps:  86%|████████▌ | 3684/4288 [1:17:56<12:46,  1.27s/it, avr_loss=0.0842]
steps:  86%|████████▌ | 3685/4288 [1:17:58<12:45,  1.27s/it, avr_loss=0.0842]
steps:  86%|████████▌ | 3685/4288 [1:17:58<12:45,  1.27s/it, avr_loss=0.0842]
steps:  86%|████████▌ | 3686/4288 [1:17:59<12:44,  1.27s/it, avr_loss=0.0842]
steps:  86%|████████▌ | 3686/4288 [1:17:59<12:44,  1.27s/it, avr_loss=0.0844]
steps:  86%|████████▌ | 3687/4288 [1:18:00<12:42,  1.27s/it, avr_loss=0.0844]
steps:  86%|████████▌ | 3687/4288 [1:18:00<12:42,  1.27s/it, avr_loss=0.0846]
steps:  86%|████████▌ | 3688/4288 [1:18:02<12:41,  1.27s/it, avr_loss=0.0846]
steps:  86%|████████▌ | 3688/4288 [1:18:02<12:41,  1.27s/it, avr_loss=0.0858]
steps:  86%|████████▌ | 3689/4288 [1:18:03<12:40,  1.27s/it, avr_loss=0.0858]
steps:  86%|████████▌ | 3689/4288 [1:18:03<12:40,  1.27s/it, avr_loss=0.0857]
steps:  86%|████████▌ | 3690/4288 [1:18:04<12:39,  1.27s/it, avr_loss=0.0857]
steps:  86%|████████▌ | 3690/4288 [1:18:04<12:39,  1.27s/it, avr_loss=0.0862]
steps:  86%|████████▌ | 3691/4288 [1:18:05<12:37,  1.27s/it, avr_loss=0.0862]
steps:  86%|████████▌ | 3691/4288 [1:18:05<12:37,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▌ | 3692/4288 [1:18:07<12:36,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▌ | 3692/4288 [1:18:07<12:36,  1.27s/it, avr_loss=0.0868]
steps:  86%|████████▌ | 3693/4288 [1:18:08<12:35,  1.27s/it, avr_loss=0.0868]
steps:  86%|████████▌ | 3693/4288 [1:18:08<12:35,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▌ | 3694/4288 [1:18:09<12:34,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▌ | 3694/4288 [1:18:09<12:34,  1.27s/it, avr_loss=0.0865]
steps:  86%|████████▌ | 3695/4288 [1:18:10<12:32,  1.27s/it, avr_loss=0.0865]
steps:  86%|████████▌ | 3695/4288 [1:18:10<12:32,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▌ | 3696/4288 [1:18:12<12:31,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▌ | 3696/4288 [1:18:12<12:31,  1.27s/it, avr_loss=0.0865]
steps:  86%|████████▌ | 3697/4288 [1:18:13<12:30,  1.27s/it, avr_loss=0.0865]
steps:  86%|████████▌ | 3697/4288 [1:18:13<12:30,  1.27s/it, avr_loss=0.0863]
steps:  86%|████████▌ | 3698/4288 [1:18:14<12:29,  1.27s/it, avr_loss=0.0863]
steps:  86%|████████▌ | 3698/4288 [1:18:14<12:29,  1.27s/it, avr_loss=0.0862]
steps:  86%|████████▋ | 3699/4288 [1:18:16<12:27,  1.27s/it, avr_loss=0.0862]
steps:  86%|████████▋ | 3699/4288 [1:18:16<12:27,  1.27s/it, avr_loss=0.0864]
steps:  86%|████████▋ | 3700/4288 [1:18:17<12:26,  1.27s/it, avr_loss=0.0864]
steps:  86%|████████▋ | 3700/4288 [1:18:17<12:26,  1.27s/it, avr_loss=0.0863]
steps:  86%|████████▋ | 3701/4288 [1:18:18<12:25,  1.27s/it, avr_loss=0.0863]
steps:  86%|████████▋ | 3701/4288 [1:18:18<12:25,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▋ | 3702/4288 [1:18:20<12:24,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▋ | 3702/4288 [1:18:20<12:24,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▋ | 3703/4288 [1:18:21<12:22,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▋ | 3703/4288 [1:18:21<12:22,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▋ | 3704/4288 [1:18:22<12:21,  1.27s/it, avr_loss=0.0866]
steps:  86%|████████▋ | 3704/4288 [1:18:22<12:21,  1.27s/it, avr_loss=0.0865]
steps:  86%|████████▋ | 3705/4288 [1:18:23<12:20,  1.27s/it, avr_loss=0.0865]
steps:  86%|████████▋ | 3705/4288 [1:18:23<12:20,  1.27s/it, avr_loss=0.0862]
steps:  86%|████████▋ | 3706/4288 [1:18:25<12:18,  1.27s/it, avr_loss=0.0862]
steps:  86%|████████▋ | 3706/4288 [1:18:25<12:18,  1.27s/it, avr_loss=0.0862]
steps:  86%|████████▋ | 3707/4288 [1:18:26<12:17,  1.27s/it, avr_loss=0.0862]
steps:  86%|████████▋ | 3707/4288 [1:18:26<12:17,  1.27s/it, avr_loss=0.0863]
steps:  86%|████████▋ | 3708/4288 [1:18:27<12:16,  1.27s/it, avr_loss=0.0863]
steps:  86%|████████▋ | 3708/4288 [1:18:27<12:16,  1.27s/it, avr_loss=0.0865]
steps:  86%|████████▋ | 3709/4288 [1:18:29<12:15,  1.27s/it, avr_loss=0.0865]
steps:  86%|████████▋ | 3709/4288 [1:18:29<12:15,  1.27s/it, avr_loss=0.0864]
steps:  87%|████████▋ | 3710/4288 [1:18:30<12:13,  1.27s/it, avr_loss=0.0864]
steps:  87%|████████▋ | 3710/4288 [1:18:30<12:13,  1.27s/it, avr_loss=0.0868]
steps:  87%|████████▋ | 3711/4288 [1:18:31<12:12,  1.27s/it, avr_loss=0.0868]
steps:  87%|████████▋ | 3711/4288 [1:18:31<12:12,  1.27s/it, avr_loss=0.087] 
steps:  87%|████████▋ | 3712/4288 [1:18:32<12:11,  1.27s/it, avr_loss=0.087]
steps:  87%|████████▋ | 3712/4288 [1:18:32<12:11,  1.27s/it, avr_loss=0.0874]
steps:  87%|████████▋ | 3713/4288 [1:18:34<12:10,  1.27s/it, avr_loss=0.0874]
steps:  87%|████████▋ | 3713/4288 [1:18:34<12:10,  1.27s/it, avr_loss=0.0872]
steps:  87%|████████▋ | 3714/4288 [1:18:35<12:08,  1.27s/it, avr_loss=0.0872]
steps:  87%|████████▋ | 3714/4288 [1:18:35<12:08,  1.27s/it, avr_loss=0.0871]
steps:  87%|████████▋ | 3715/4288 [1:18:36<12:07,  1.27s/it, avr_loss=0.0871]
steps:  87%|████████▋ | 3715/4288 [1:18:36<12:07,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3716/4288 [1:18:37<12:06,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3716/4288 [1:18:37<12:06,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3717/4288 [1:18:39<12:04,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3717/4288 [1:18:39<12:04,  1.27s/it, avr_loss=0.0867]
steps:  87%|████████▋ | 3718/4288 [1:18:40<12:03,  1.27s/it, avr_loss=0.0867]
steps:  87%|████████▋ | 3718/4288 [1:18:40<12:03,  1.27s/it, avr_loss=0.0866]
steps:  87%|████████▋ | 3719/4288 [1:18:41<12:02,  1.27s/it, avr_loss=0.0866]
steps:  87%|████████▋ | 3719/4288 [1:18:41<12:02,  1.27s/it, avr_loss=0.0864]
steps:  87%|████████▋ | 3720/4288 [1:18:43<12:01,  1.27s/it, avr_loss=0.0864]
steps:  87%|████████▋ | 3720/4288 [1:18:43<12:01,  1.27s/it, avr_loss=0.0865]
steps:  87%|████████▋ | 3721/4288 [1:18:44<11:59,  1.27s/it, avr_loss=0.0865]
steps:  87%|████████▋ | 3721/4288 [1:18:44<11:59,  1.27s/it, avr_loss=0.0861]
steps:  87%|████████▋ | 3722/4288 [1:18:45<11:58,  1.27s/it, avr_loss=0.0861]
steps:  87%|████████▋ | 3722/4288 [1:18:45<11:58,  1.27s/it, avr_loss=0.0859]
steps:  87%|████████▋ | 3723/4288 [1:18:47<11:57,  1.27s/it, avr_loss=0.0859]
steps:  87%|████████▋ | 3723/4288 [1:18:47<11:57,  1.27s/it, avr_loss=0.0859]
steps:  87%|████████▋ | 3724/4288 [1:18:48<11:56,  1.27s/it, avr_loss=0.0859]
steps:  87%|████████▋ | 3724/4288 [1:18:48<11:56,  1.27s/it, avr_loss=0.0858]
steps:  87%|████████▋ | 3725/4288 [1:18:49<11:54,  1.27s/it, avr_loss=0.0858]
steps:  87%|████████▋ | 3725/4288 [1:18:49<11:54,  1.27s/it, avr_loss=0.0857]
steps:  87%|████████▋ | 3726/4288 [1:18:50<11:53,  1.27s/it, avr_loss=0.0857]
steps:  87%|████████▋ | 3726/4288 [1:18:50<11:53,  1.27s/it, avr_loss=0.0858]
steps:  87%|████████▋ | 3727/4288 [1:18:51<11:52,  1.27s/it, avr_loss=0.0858]
steps:  87%|████████▋ | 3727/4288 [1:18:51<11:52,  1.27s/it, avr_loss=0.086] 
steps:  87%|████████▋ | 3728/4288 [1:18:53<11:50,  1.27s/it, avr_loss=0.086]
steps:  87%|████████▋ | 3728/4288 [1:18:53<11:50,  1.27s/it, avr_loss=0.086]
steps:  87%|████████▋ | 3729/4288 [1:18:54<11:49,  1.27s/it, avr_loss=0.086]
steps:  87%|████████▋ | 3729/4288 [1:18:54<11:49,  1.27s/it, avr_loss=0.0862]
steps:  87%|████████▋ | 3730/4288 [1:18:55<11:48,  1.27s/it, avr_loss=0.0862]
steps:  87%|████████▋ | 3730/4288 [1:18:55<11:48,  1.27s/it, avr_loss=0.0862]
steps:  87%|████████▋ | 3731/4288 [1:18:56<11:47,  1.27s/it, avr_loss=0.0862]
steps:  87%|████████▋ | 3731/4288 [1:18:56<11:47,  1.27s/it, avr_loss=0.0861]
steps:  87%|████████▋ | 3732/4288 [1:18:58<11:45,  1.27s/it, avr_loss=0.0861]
steps:  87%|████████▋ | 3732/4288 [1:18:58<11:45,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3733/4288 [1:18:59<11:44,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3733/4288 [1:18:59<11:44,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3734/4288 [1:19:00<11:43,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3734/4288 [1:19:00<11:43,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3735/4288 [1:19:01<11:42,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3735/4288 [1:19:01<11:42,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3736/4288 [1:19:03<11:40,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3736/4288 [1:19:03<11:40,  1.27s/it, avr_loss=0.0874]
steps:  87%|████████▋ | 3737/4288 [1:19:04<11:39,  1.27s/it, avr_loss=0.0874]
steps:  87%|████████▋ | 3737/4288 [1:19:04<11:39,  1.27s/it, avr_loss=0.0873]
steps:  87%|████████▋ | 3738/4288 [1:19:05<11:38,  1.27s/it, avr_loss=0.0873]
steps:  87%|████████▋ | 3738/4288 [1:19:05<11:38,  1.27s/it, avr_loss=0.0872]
steps:  87%|████████▋ | 3739/4288 [1:19:06<11:36,  1.27s/it, avr_loss=0.0872]
steps:  87%|████████▋ | 3739/4288 [1:19:06<11:36,  1.27s/it, avr_loss=0.0874]
steps:  87%|████████▋ | 3740/4288 [1:19:08<11:35,  1.27s/it, avr_loss=0.0874]
steps:  87%|████████▋ | 3740/4288 [1:19:08<11:35,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3741/4288 [1:19:09<11:34,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3741/4288 [1:19:09<11:34,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3742/4288 [1:19:10<11:33,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3742/4288 [1:19:10<11:33,  1.27s/it, avr_loss=0.0867]
steps:  87%|████████▋ | 3743/4288 [1:19:11<11:31,  1.27s/it, avr_loss=0.0867]
steps:  87%|████████▋ | 3743/4288 [1:19:11<11:31,  1.27s/it, avr_loss=0.0867]
steps:  87%|████████▋ | 3744/4288 [1:19:13<11:30,  1.27s/it, avr_loss=0.0867]
steps:  87%|████████▋ | 3744/4288 [1:19:13<11:30,  1.27s/it, avr_loss=0.0866]
steps:  87%|████████▋ | 3745/4288 [1:19:14<11:29,  1.27s/it, avr_loss=0.0866]
steps:  87%|████████▋ | 3745/4288 [1:19:14<11:29,  1.27s/it, avr_loss=0.0865]
steps:  87%|████████▋ | 3746/4288 [1:19:15<11:28,  1.27s/it, avr_loss=0.0865]
steps:  87%|████████▋ | 3746/4288 [1:19:15<11:28,  1.27s/it, avr_loss=0.0865]
steps:  87%|████████▋ | 3747/4288 [1:19:17<11:26,  1.27s/it, avr_loss=0.0865]
steps:  87%|████████▋ | 3747/4288 [1:19:17<11:26,  1.27s/it, avr_loss=0.0867]
steps:  87%|████████▋ | 3748/4288 [1:19:18<11:25,  1.27s/it, avr_loss=0.0867]
steps:  87%|████████▋ | 3748/4288 [1:19:18<11:25,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3749/4288 [1:19:19<11:24,  1.27s/it, avr_loss=0.0869]
steps:  87%|████████▋ | 3749/4288 [1:19:19<11:24,  1.27s/it, avr_loss=0.0868]
steps:  87%|████████▋ | 3750/4288 [1:19:21<11:23,  1.27s/it, avr_loss=0.0868]
steps:  87%|████████▋ | 3750/4288 [1:19:21<11:23,  1.27s/it, avr_loss=0.0876]
steps:  87%|████████▋ | 3751/4288 [1:19:22<11:21,  1.27s/it, avr_loss=0.0876]
steps:  87%|████████▋ | 3751/4288 [1:19:22<11:21,  1.27s/it, avr_loss=0.0874]
steps:  88%|████████▊ | 3752/4288 [1:19:23<11:20,  1.27s/it, avr_loss=0.0874]
steps:  88%|████████▊ | 3752/4288 [1:19:23<11:20,  1.27s/it, avr_loss=0.0872]2026-07-24 14:55:09 INFO     epoch is incremented. current_epoch: dataset.py:464
                             14, epoch: 15                                      
2026-07-24 14:55:09 INFO     epoch is incremented. current_epoch: dataset.py:464
                             14, epoch: 15                                      

steps:  88%|████████▊ | 3753/4288 [1:19:24<11:19,  1.27s/it, avr_loss=0.0872]
steps:  88%|████████▊ | 3753/4288 [1:19:24<11:19,  1.27s/it, avr_loss=0.0871]
steps:  88%|████████▊ | 3754/4288 [1:19:26<11:17,  1.27s/it, avr_loss=0.0871]
steps:  88%|████████▊ | 3754/4288 [1:19:26<11:17,  1.27s/it, avr_loss=0.0871]
steps:  88%|████████▊ | 3755/4288 [1:19:27<11:16,  1.27s/it, avr_loss=0.0871]
steps:  88%|████████▊ | 3755/4288 [1:19:27<11:16,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3756/4288 [1:19:28<11:15,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3756/4288 [1:19:28<11:15,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3757/4288 [1:19:29<11:14,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3757/4288 [1:19:29<11:14,  1.27s/it, avr_loss=0.0868]
steps:  88%|████████▊ | 3758/4288 [1:19:31<11:12,  1.27s/it, avr_loss=0.0868]
steps:  88%|████████▊ | 3758/4288 [1:19:31<11:12,  1.27s/it, avr_loss=0.0866]
steps:  88%|████████▊ | 3759/4288 [1:19:32<11:11,  1.27s/it, avr_loss=0.0866]
steps:  88%|████████▊ | 3759/4288 [1:19:32<11:11,  1.27s/it, avr_loss=0.0865]
steps:  88%|████████▊ | 3760/4288 [1:19:33<11:10,  1.27s/it, avr_loss=0.0865]
steps:  88%|████████▊ | 3760/4288 [1:19:33<11:10,  1.27s/it, avr_loss=0.0862]
steps:  88%|████████▊ | 3761/4288 [1:19:34<11:09,  1.27s/it, avr_loss=0.0862]
steps:  88%|████████▊ | 3761/4288 [1:19:34<11:09,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3762/4288 [1:19:36<11:07,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3762/4288 [1:19:36<11:07,  1.27s/it, avr_loss=0.086] 
steps:  88%|████████▊ | 3763/4288 [1:19:37<11:06,  1.27s/it, avr_loss=0.086]
steps:  88%|████████▊ | 3763/4288 [1:19:37<11:06,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3764/4288 [1:19:38<11:05,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3764/4288 [1:19:38<11:05,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3765/4288 [1:19:39<11:03,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3765/4288 [1:19:39<11:03,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3766/4288 [1:19:41<11:02,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3766/4288 [1:19:41<11:02,  1.27s/it, avr_loss=0.086] 
steps:  88%|████████▊ | 3767/4288 [1:19:42<11:01,  1.27s/it, avr_loss=0.086]
steps:  88%|████████▊ | 3767/4288 [1:19:42<11:01,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3768/4288 [1:19:43<11:00,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3768/4288 [1:19:43<11:00,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3769/4288 [1:19:45<10:58,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3769/4288 [1:19:45<10:58,  1.27s/it, avr_loss=0.086] 
steps:  88%|████████▊ | 3770/4288 [1:19:46<10:57,  1.27s/it, avr_loss=0.086]
steps:  88%|████████▊ | 3770/4288 [1:19:46<10:57,  1.27s/it, avr_loss=0.0862]
steps:  88%|████████▊ | 3771/4288 [1:19:47<10:56,  1.27s/it, avr_loss=0.0862]
steps:  88%|████████▊ | 3771/4288 [1:19:47<10:56,  1.27s/it, avr_loss=0.086] 
steps:  88%|████████▊ | 3772/4288 [1:19:48<10:55,  1.27s/it, avr_loss=0.086]
steps:  88%|████████▊ | 3772/4288 [1:19:48<10:55,  1.27s/it, avr_loss=0.086]
steps:  88%|████████▊ | 3773/4288 [1:19:50<10:53,  1.27s/it, avr_loss=0.086]
steps:  88%|████████▊ | 3773/4288 [1:19:50<10:53,  1.27s/it, avr_loss=0.0863]
steps:  88%|████████▊ | 3774/4288 [1:19:51<10:52,  1.27s/it, avr_loss=0.0863]
steps:  88%|████████▊ | 3774/4288 [1:19:51<10:52,  1.27s/it, avr_loss=0.0863]
steps:  88%|████████▊ | 3775/4288 [1:19:52<10:51,  1.27s/it, avr_loss=0.0863]
steps:  88%|████████▊ | 3775/4288 [1:19:52<10:51,  1.27s/it, avr_loss=0.0862]
steps:  88%|████████▊ | 3776/4288 [1:19:53<10:50,  1.27s/it, avr_loss=0.0862]
steps:  88%|████████▊ | 3776/4288 [1:19:53<10:50,  1.27s/it, avr_loss=0.0862]
steps:  88%|████████▊ | 3777/4288 [1:19:55<10:48,  1.27s/it, avr_loss=0.0862]
steps:  88%|████████▊ | 3777/4288 [1:19:55<10:48,  1.27s/it, avr_loss=0.0865]
steps:  88%|████████▊ | 3778/4288 [1:19:56<10:47,  1.27s/it, avr_loss=0.0865]
steps:  88%|████████▊ | 3778/4288 [1:19:56<10:47,  1.27s/it, avr_loss=0.0864]
steps:  88%|████████▊ | 3779/4288 [1:19:57<10:46,  1.27s/it, avr_loss=0.0864]
steps:  88%|████████▊ | 3779/4288 [1:19:57<10:46,  1.27s/it, avr_loss=0.0863]
steps:  88%|████████▊ | 3780/4288 [1:19:59<10:44,  1.27s/it, avr_loss=0.0863]
steps:  88%|████████▊ | 3780/4288 [1:19:59<10:44,  1.27s/it, avr_loss=0.0864]
steps:  88%|████████▊ | 3781/4288 [1:20:00<10:43,  1.27s/it, avr_loss=0.0864]
steps:  88%|████████▊ | 3781/4288 [1:20:00<10:43,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3782/4288 [1:20:01<10:42,  1.27s/it, avr_loss=0.0861]
steps:  88%|████████▊ | 3782/4288 [1:20:01<10:42,  1.27s/it, avr_loss=0.0864]
steps:  88%|████████▊ | 3783/4288 [1:20:03<10:41,  1.27s/it, avr_loss=0.0864]
steps:  88%|████████▊ | 3783/4288 [1:20:03<10:41,  1.27s/it, avr_loss=0.0865]
steps:  88%|████████▊ | 3784/4288 [1:20:04<10:39,  1.27s/it, avr_loss=0.0865]
steps:  88%|████████▊ | 3784/4288 [1:20:04<10:39,  1.27s/it, avr_loss=0.0868]
steps:  88%|████████▊ | 3785/4288 [1:20:05<10:38,  1.27s/it, avr_loss=0.0868]
steps:  88%|████████▊ | 3785/4288 [1:20:05<10:38,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3786/4288 [1:20:06<10:37,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3786/4288 [1:20:06<10:37,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3787/4288 [1:20:07<10:36,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3787/4288 [1:20:07<10:36,  1.27s/it, avr_loss=0.0867]
steps:  88%|████████▊ | 3788/4288 [1:20:09<10:34,  1.27s/it, avr_loss=0.0867]
steps:  88%|████████▊ | 3788/4288 [1:20:09<10:34,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3789/4288 [1:20:10<10:33,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3789/4288 [1:20:10<10:33,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3790/4288 [1:20:11<10:32,  1.27s/it, avr_loss=0.0869]
steps:  88%|████████▊ | 3790/4288 [1:20:11<10:32,  1.27s/it, avr_loss=0.0871]
steps:  88%|████████▊ | 3791/4288 [1:20:12<10:30,  1.27s/it, avr_loss=0.0871]
steps:  88%|████████▊ | 3791/4288 [1:20:12<10:30,  1.27s/it, avr_loss=0.0873]
steps:  88%|████████▊ | 3792/4288 [1:20:14<10:29,  1.27s/it, avr_loss=0.0873]
steps:  88%|████████▊ | 3792/4288 [1:20:14<10:29,  1.27s/it, avr_loss=0.087] 
steps:  88%|████████▊ | 3793/4288 [1:20:15<10:28,  1.27s/it, avr_loss=0.087]
steps:  88%|████████▊ | 3793/4288 [1:20:15<10:28,  1.27s/it, avr_loss=0.087]
steps:  88%|████████▊ | 3794/4288 [1:20:16<10:27,  1.27s/it, avr_loss=0.087]
steps:  88%|████████▊ | 3794/4288 [1:20:16<10:27,  1.27s/it, avr_loss=0.0864]
steps:  89%|████████▊ | 3795/4288 [1:20:17<10:25,  1.27s/it, avr_loss=0.0864]
steps:  89%|████████▊ | 3795/4288 [1:20:17<10:25,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▊ | 3796/4288 [1:20:19<10:24,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▊ | 3796/4288 [1:20:19<10:24,  1.27s/it, avr_loss=0.0864]
steps:  89%|████████▊ | 3797/4288 [1:20:20<10:23,  1.27s/it, avr_loss=0.0864]
steps:  89%|████████▊ | 3797/4288 [1:20:20<10:23,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▊ | 3798/4288 [1:20:21<10:22,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▊ | 3798/4288 [1:20:21<10:22,  1.27s/it, avr_loss=0.0861]
steps:  89%|████████▊ | 3799/4288 [1:20:22<10:20,  1.27s/it, avr_loss=0.0861]
steps:  89%|████████▊ | 3799/4288 [1:20:22<10:20,  1.27s/it, avr_loss=0.086] 
steps:  89%|████████▊ | 3800/4288 [1:20:24<10:19,  1.27s/it, avr_loss=0.086]
steps:  89%|████████▊ | 3800/4288 [1:20:24<10:19,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▊ | 3801/4288 [1:20:25<10:18,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▊ | 3801/4288 [1:20:25<10:18,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▊ | 3802/4288 [1:20:26<10:17,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▊ | 3802/4288 [1:20:26<10:17,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▊ | 3803/4288 [1:20:28<10:15,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▊ | 3803/4288 [1:20:28<10:15,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▊ | 3804/4288 [1:20:29<10:14,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▊ | 3804/4288 [1:20:29<10:14,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▊ | 3805/4288 [1:20:30<10:13,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▊ | 3805/4288 [1:20:30<10:13,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▉ | 3806/4288 [1:20:31<10:11,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▉ | 3806/4288 [1:20:31<10:11,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▉ | 3807/4288 [1:20:33<10:10,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▉ | 3807/4288 [1:20:33<10:10,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▉ | 3808/4288 [1:20:34<10:09,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▉ | 3808/4288 [1:20:34<10:09,  1.27s/it, avr_loss=0.0864]
steps:  89%|████████▉ | 3809/4288 [1:20:35<10:08,  1.27s/it, avr_loss=0.0864]
steps:  89%|████████▉ | 3809/4288 [1:20:35<10:08,  1.27s/it, avr_loss=0.0864]
steps:  89%|████████▉ | 3810/4288 [1:20:36<10:06,  1.27s/it, avr_loss=0.0864]
steps:  89%|████████▉ | 3810/4288 [1:20:36<10:06,  1.27s/it, avr_loss=0.0869]
steps:  89%|████████▉ | 3811/4288 [1:20:38<10:05,  1.27s/it, avr_loss=0.0869]
steps:  89%|████████▉ | 3811/4288 [1:20:38<10:05,  1.27s/it, avr_loss=0.0868]
steps:  89%|████████▉ | 3812/4288 [1:20:39<10:04,  1.27s/it, avr_loss=0.0868]
steps:  89%|████████▉ | 3812/4288 [1:20:39<10:04,  1.27s/it, avr_loss=0.0868]
steps:  89%|████████▉ | 3813/4288 [1:20:40<10:03,  1.27s/it, avr_loss=0.0868]
steps:  89%|████████▉ | 3813/4288 [1:20:40<10:03,  1.27s/it, avr_loss=0.0867]
steps:  89%|████████▉ | 3814/4288 [1:20:41<10:01,  1.27s/it, avr_loss=0.0867]
steps:  89%|████████▉ | 3814/4288 [1:20:41<10:01,  1.27s/it, avr_loss=0.0867]
steps:  89%|████████▉ | 3815/4288 [1:20:43<10:00,  1.27s/it, avr_loss=0.0867]
steps:  89%|████████▉ | 3815/4288 [1:20:43<10:00,  1.27s/it, avr_loss=0.0867]
steps:  89%|████████▉ | 3816/4288 [1:20:44<09:59,  1.27s/it, avr_loss=0.0867]
steps:  89%|████████▉ | 3816/4288 [1:20:44<09:59,  1.27s/it, avr_loss=0.0867]
steps:  89%|████████▉ | 3817/4288 [1:20:45<09:57,  1.27s/it, avr_loss=0.0867]
steps:  89%|████████▉ | 3817/4288 [1:20:45<09:57,  1.27s/it, avr_loss=0.0866]
steps:  89%|████████▉ | 3818/4288 [1:20:46<09:56,  1.27s/it, avr_loss=0.0866]
steps:  89%|████████▉ | 3818/4288 [1:20:46<09:56,  1.27s/it, avr_loss=0.0865]
steps:  89%|████████▉ | 3819/4288 [1:20:47<09:55,  1.27s/it, avr_loss=0.0865]
steps:  89%|████████▉ | 3819/4288 [1:20:47<09:55,  1.27s/it, avr_loss=0.0865]
steps:  89%|████████▉ | 3820/4288 [1:20:49<09:54,  1.27s/it, avr_loss=0.0865]
steps:  89%|████████▉ | 3820/4288 [1:20:49<09:54,  1.27s/it, avr_loss=0.0861]
steps:  89%|████████▉ | 3821/4288 [1:20:50<09:52,  1.27s/it, avr_loss=0.0861]
steps:  89%|████████▉ | 3821/4288 [1:20:50<09:52,  1.27s/it, avr_loss=0.0861]
steps:  89%|████████▉ | 3822/4288 [1:20:51<09:51,  1.27s/it, avr_loss=0.0861]
steps:  89%|████████▉ | 3822/4288 [1:20:51<09:51,  1.27s/it, avr_loss=0.0861]
steps:  89%|████████▉ | 3823/4288 [1:20:52<09:50,  1.27s/it, avr_loss=0.0861]
steps:  89%|████████▉ | 3823/4288 [1:20:52<09:50,  1.27s/it, avr_loss=0.086] 
steps:  89%|████████▉ | 3824/4288 [1:20:54<09:49,  1.27s/it, avr_loss=0.086]
steps:  89%|████████▉ | 3824/4288 [1:20:54<09:49,  1.27s/it, avr_loss=0.0857]
steps:  89%|████████▉ | 3825/4288 [1:20:55<09:47,  1.27s/it, avr_loss=0.0857]
steps:  89%|████████▉ | 3825/4288 [1:20:55<09:47,  1.27s/it, avr_loss=0.0857]
steps:  89%|████████▉ | 3826/4288 [1:20:56<09:46,  1.27s/it, avr_loss=0.0857]
steps:  89%|████████▉ | 3826/4288 [1:20:56<09:46,  1.27s/it, avr_loss=0.0856]
steps:  89%|████████▉ | 3827/4288 [1:20:57<09:45,  1.27s/it, avr_loss=0.0856]
steps:  89%|████████▉ | 3827/4288 [1:20:57<09:45,  1.27s/it, avr_loss=0.0856]
steps:  89%|████████▉ | 3828/4288 [1:20:59<09:43,  1.27s/it, avr_loss=0.0856]
steps:  89%|████████▉ | 3828/4288 [1:20:59<09:43,  1.27s/it, avr_loss=0.0857]
steps:  89%|████████▉ | 3829/4288 [1:21:00<09:42,  1.27s/it, avr_loss=0.0857]
steps:  89%|████████▉ | 3829/4288 [1:21:00<09:42,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▉ | 3830/4288 [1:21:01<09:41,  1.27s/it, avr_loss=0.0862]
steps:  89%|████████▉ | 3830/4288 [1:21:01<09:41,  1.27s/it, avr_loss=0.0865]
steps:  89%|████████▉ | 3831/4288 [1:21:03<09:40,  1.27s/it, avr_loss=0.0865]
steps:  89%|████████▉ | 3831/4288 [1:21:03<09:40,  1.27s/it, avr_loss=0.0865]
steps:  89%|████████▉ | 3832/4288 [1:21:04<09:38,  1.27s/it, avr_loss=0.0865]
steps:  89%|████████▉ | 3832/4288 [1:21:04<09:38,  1.27s/it, avr_loss=0.0865]
steps:  89%|████████▉ | 3833/4288 [1:21:05<09:37,  1.27s/it, avr_loss=0.0865]
steps:  89%|████████▉ | 3833/4288 [1:21:05<09:37,  1.27s/it, avr_loss=0.0866]
steps:  89%|████████▉ | 3834/4288 [1:21:06<09:36,  1.27s/it, avr_loss=0.0866]
steps:  89%|████████▉ | 3834/4288 [1:21:06<09:36,  1.27s/it, avr_loss=0.0866]
steps:  89%|████████▉ | 3835/4288 [1:21:08<09:35,  1.27s/it, avr_loss=0.0866]
steps:  89%|████████▉ | 3835/4288 [1:21:08<09:35,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▉ | 3836/4288 [1:21:09<09:33,  1.27s/it, avr_loss=0.0863]
steps:  89%|████████▉ | 3836/4288 [1:21:09<09:33,  1.27s/it, avr_loss=0.0861]
steps:  89%|████████▉ | 3837/4288 [1:21:10<09:32,  1.27s/it, avr_loss=0.0861]
steps:  89%|████████▉ | 3837/4288 [1:21:10<09:32,  1.27s/it, avr_loss=0.0858]
steps:  90%|████████▉ | 3838/4288 [1:21:11<09:31,  1.27s/it, avr_loss=0.0858]
steps:  90%|████████▉ | 3838/4288 [1:21:11<09:31,  1.27s/it, avr_loss=0.0858]
steps:  90%|████████▉ | 3839/4288 [1:21:13<09:29,  1.27s/it, avr_loss=0.0858]
steps:  90%|████████▉ | 3839/4288 [1:21:13<09:29,  1.27s/it, avr_loss=0.0859]
steps:  90%|████████▉ | 3840/4288 [1:21:14<09:28,  1.27s/it, avr_loss=0.0859]
steps:  90%|████████▉ | 3840/4288 [1:21:14<09:28,  1.27s/it, avr_loss=0.086] 
steps:  90%|████████▉ | 3841/4288 [1:21:15<09:27,  1.27s/it, avr_loss=0.086]
steps:  90%|████████▉ | 3841/4288 [1:21:15<09:27,  1.27s/it, avr_loss=0.0861]
steps:  90%|████████▉ | 3842/4288 [1:21:16<09:26,  1.27s/it, avr_loss=0.0861]
steps:  90%|████████▉ | 3842/4288 [1:21:16<09:26,  1.27s/it, avr_loss=0.0861]
steps:  90%|████████▉ | 3843/4288 [1:21:18<09:24,  1.27s/it, avr_loss=0.0861]
steps:  90%|████████▉ | 3843/4288 [1:21:18<09:24,  1.27s/it, avr_loss=0.0862]
steps:  90%|████████▉ | 3844/4288 [1:21:19<09:23,  1.27s/it, avr_loss=0.0862]
steps:  90%|████████▉ | 3844/4288 [1:21:19<09:23,  1.27s/it, avr_loss=0.0863]
steps:  90%|████████▉ | 3845/4288 [1:21:20<09:22,  1.27s/it, avr_loss=0.0863]
steps:  90%|████████▉ | 3845/4288 [1:21:20<09:22,  1.27s/it, avr_loss=0.0862]
steps:  90%|████████▉ | 3846/4288 [1:21:21<09:21,  1.27s/it, avr_loss=0.0862]
steps:  90%|████████▉ | 3846/4288 [1:21:21<09:21,  1.27s/it, avr_loss=0.0861]
steps:  90%|████████▉ | 3847/4288 [1:21:23<09:19,  1.27s/it, avr_loss=0.0861]
steps:  90%|████████▉ | 3847/4288 [1:21:23<09:19,  1.27s/it, avr_loss=0.0862]
steps:  90%|████████▉ | 3848/4288 [1:21:24<09:18,  1.27s/it, avr_loss=0.0862]
steps:  90%|████████▉ | 3848/4288 [1:21:24<09:18,  1.27s/it, avr_loss=0.0861]
steps:  90%|████████▉ | 3849/4288 [1:21:25<09:17,  1.27s/it, avr_loss=0.0861]
steps:  90%|████████▉ | 3849/4288 [1:21:25<09:17,  1.27s/it, avr_loss=0.086] 
steps:  90%|████████▉ | 3850/4288 [1:21:26<09:15,  1.27s/it, avr_loss=0.086]
steps:  90%|████████▉ | 3850/4288 [1:21:27<09:15,  1.27s/it, avr_loss=0.0858]
steps:  90%|████████▉ | 3851/4288 [1:21:28<09:14,  1.27s/it, avr_loss=0.0858]
steps:  90%|████████▉ | 3851/4288 [1:21:28<09:14,  1.27s/it, avr_loss=0.0857]
steps:  90%|████████▉ | 3852/4288 [1:21:29<09:13,  1.27s/it, avr_loss=0.0857]
steps:  90%|████████▉ | 3852/4288 [1:21:29<09:13,  1.27s/it, avr_loss=0.0857]
steps:  90%|████████▉ | 3853/4288 [1:21:30<09:12,  1.27s/it, avr_loss=0.0857]
steps:  90%|████████▉ | 3853/4288 [1:21:30<09:12,  1.27s/it, avr_loss=0.0856]
steps:  90%|████████▉ | 3854/4288 [1:21:32<09:10,  1.27s/it, avr_loss=0.0856]
steps:  90%|████████▉ | 3854/4288 [1:21:32<09:10,  1.27s/it, avr_loss=0.0858]
steps:  90%|████████▉ | 3855/4288 [1:21:33<09:09,  1.27s/it, avr_loss=0.0858]
steps:  90%|████████▉ | 3855/4288 [1:21:33<09:09,  1.27s/it, avr_loss=0.0854]
steps:  90%|████████▉ | 3856/4288 [1:21:34<09:08,  1.27s/it, avr_loss=0.0854]
steps:  90%|████████▉ | 3856/4288 [1:21:34<09:08,  1.27s/it, avr_loss=0.0853]
steps:  90%|████████▉ | 3857/4288 [1:21:35<09:07,  1.27s/it, avr_loss=0.0853]
steps:  90%|████████▉ | 3857/4288 [1:21:35<09:07,  1.27s/it, avr_loss=0.0854]
steps:  90%|████████▉ | 3858/4288 [1:21:37<09:05,  1.27s/it, avr_loss=0.0854]
steps:  90%|████████▉ | 3858/4288 [1:21:37<09:05,  1.27s/it, avr_loss=0.0852]
steps:  90%|████████▉ | 3859/4288 [1:21:38<09:04,  1.27s/it, avr_loss=0.0852]
steps:  90%|████████▉ | 3859/4288 [1:21:38<09:04,  1.27s/it, avr_loss=0.0855]
steps:  90%|█████████ | 3860/4288 [1:21:39<09:03,  1.27s/it, avr_loss=0.0855]
steps:  90%|█████████ | 3860/4288 [1:21:39<09:03,  1.27s/it, avr_loss=0.0852]
steps:  90%|█████████ | 3861/4288 [1:21:41<09:02,  1.27s/it, avr_loss=0.0852]
steps:  90%|█████████ | 3861/4288 [1:21:41<09:02,  1.27s/it, avr_loss=0.0851]
steps:  90%|█████████ | 3862/4288 [1:21:42<09:00,  1.27s/it, avr_loss=0.0851]
steps:  90%|█████████ | 3862/4288 [1:21:42<09:00,  1.27s/it, avr_loss=0.085] 
steps:  90%|█████████ | 3863/4288 [1:21:43<08:59,  1.27s/it, avr_loss=0.085]
steps:  90%|█████████ | 3863/4288 [1:21:43<08:59,  1.27s/it, avr_loss=0.0853]
steps:  90%|█████████ | 3864/4288 [1:21:44<08:58,  1.27s/it, avr_loss=0.0853]
steps:  90%|█████████ | 3864/4288 [1:21:44<08:58,  1.27s/it, avr_loss=0.0853]
steps:  90%|█████████ | 3865/4288 [1:21:46<08:56,  1.27s/it, avr_loss=0.0853]
steps:  90%|█████████ | 3865/4288 [1:21:46<08:56,  1.27s/it, avr_loss=0.0849]
steps:  90%|█████████ | 3866/4288 [1:21:47<08:55,  1.27s/it, avr_loss=0.0849]
steps:  90%|█████████ | 3866/4288 [1:21:47<08:55,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3867/4288 [1:21:48<08:54,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3867/4288 [1:21:48<08:54,  1.27s/it, avr_loss=0.0849]
steps:  90%|█████████ | 3868/4288 [1:21:50<08:53,  1.27s/it, avr_loss=0.0849]
steps:  90%|█████████ | 3868/4288 [1:21:50<08:53,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3869/4288 [1:21:51<08:51,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3869/4288 [1:21:51<08:51,  1.27s/it, avr_loss=0.0849]
steps:  90%|█████████ | 3870/4288 [1:21:52<08:50,  1.27s/it, avr_loss=0.0849]
steps:  90%|█████████ | 3870/4288 [1:21:52<08:50,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3871/4288 [1:21:53<08:49,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3871/4288 [1:21:53<08:49,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3872/4288 [1:21:55<08:48,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3872/4288 [1:21:55<08:48,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3873/4288 [1:21:56<08:46,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3873/4288 [1:21:56<08:46,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3874/4288 [1:21:57<08:45,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3874/4288 [1:21:57<08:45,  1.27s/it, avr_loss=0.0847]
steps:  90%|█████████ | 3875/4288 [1:21:58<08:44,  1.27s/it, avr_loss=0.0847]
steps:  90%|█████████ | 3875/4288 [1:21:58<08:44,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3876/4288 [1:21:59<08:42,  1.27s/it, avr_loss=0.0848]
steps:  90%|█████████ | 3876/4288 [1:21:59<08:42,  1.27s/it, avr_loss=0.0849]
steps:  90%|█████████ | 3877/4288 [1:22:01<08:41,  1.27s/it, avr_loss=0.0849]
steps:  90%|█████████ | 3877/4288 [1:22:01<08:41,  1.27s/it, avr_loss=0.0849]
steps:  90%|█████████ | 3878/4288 [1:22:02<08:40,  1.27s/it, avr_loss=0.0849]
steps:  90%|█████████ | 3878/4288 [1:22:02<08:40,  1.27s/it, avr_loss=0.0853]
steps:  90%|█████████ | 3879/4288 [1:22:03<08:39,  1.27s/it, avr_loss=0.0853]
steps:  90%|█████████ | 3879/4288 [1:22:03<08:39,  1.27s/it, avr_loss=0.0852]
steps:  90%|█████████ | 3880/4288 [1:22:05<08:37,  1.27s/it, avr_loss=0.0852]
steps:  90%|█████████ | 3880/4288 [1:22:05<08:37,  1.27s/it, avr_loss=0.0853]
steps:  91%|█████████ | 3881/4288 [1:22:06<08:36,  1.27s/it, avr_loss=0.0853]
steps:  91%|█████████ | 3881/4288 [1:22:06<08:36,  1.27s/it, avr_loss=0.0852]
steps:  91%|█████████ | 3882/4288 [1:22:07<08:35,  1.27s/it, avr_loss=0.0852]
steps:  91%|█████████ | 3882/4288 [1:22:07<08:35,  1.27s/it, avr_loss=0.0851]
steps:  91%|█████████ | 3883/4288 [1:22:08<08:34,  1.27s/it, avr_loss=0.0851]
steps:  91%|█████████ | 3883/4288 [1:22:08<08:34,  1.27s/it, avr_loss=0.0855]
steps:  91%|█████████ | 3884/4288 [1:22:10<08:32,  1.27s/it, avr_loss=0.0855]
steps:  91%|█████████ | 3884/4288 [1:22:10<08:32,  1.27s/it, avr_loss=0.0857]
steps:  91%|█████████ | 3885/4288 [1:22:11<08:31,  1.27s/it, avr_loss=0.0857]
steps:  91%|█████████ | 3885/4288 [1:22:11<08:31,  1.27s/it, avr_loss=0.0857]
steps:  91%|█████████ | 3886/4288 [1:22:12<08:30,  1.27s/it, avr_loss=0.0857]
steps:  91%|█████████ | 3886/4288 [1:22:12<08:30,  1.27s/it, avr_loss=0.0857]
steps:  91%|█████████ | 3887/4288 [1:22:13<08:29,  1.27s/it, avr_loss=0.0857]
steps:  91%|█████████ | 3887/4288 [1:22:13<08:29,  1.27s/it, avr_loss=0.0857]
steps:  91%|█████████ | 3888/4288 [1:22:15<08:27,  1.27s/it, avr_loss=0.0857]
steps:  91%|█████████ | 3888/4288 [1:22:15<08:27,  1.27s/it, avr_loss=0.0859]
steps:  91%|█████████ | 3889/4288 [1:22:16<08:26,  1.27s/it, avr_loss=0.0859]
steps:  91%|█████████ | 3889/4288 [1:22:16<08:26,  1.27s/it, avr_loss=0.0866]
steps:  91%|█████████ | 3890/4288 [1:22:17<08:25,  1.27s/it, avr_loss=0.0866]
steps:  91%|█████████ | 3890/4288 [1:22:17<08:25,  1.27s/it, avr_loss=0.0862]
steps:  91%|█████████ | 3891/4288 [1:22:18<08:23,  1.27s/it, avr_loss=0.0862]
steps:  91%|█████████ | 3891/4288 [1:22:18<08:23,  1.27s/it, avr_loss=0.0862]
steps:  91%|█████████ | 3892/4288 [1:22:20<08:22,  1.27s/it, avr_loss=0.0862]
steps:  91%|█████████ | 3892/4288 [1:22:20<08:22,  1.27s/it, avr_loss=0.0862]
steps:  91%|█████████ | 3893/4288 [1:22:21<08:21,  1.27s/it, avr_loss=0.0862]
steps:  91%|█████████ | 3893/4288 [1:22:21<08:21,  1.27s/it, avr_loss=0.0864]
steps:  91%|█████████ | 3894/4288 [1:22:22<08:20,  1.27s/it, avr_loss=0.0864]
steps:  91%|█████████ | 3894/4288 [1:22:22<08:20,  1.27s/it, avr_loss=0.0864]
steps:  91%|█████████ | 3895/4288 [1:22:23<08:18,  1.27s/it, avr_loss=0.0864]
steps:  91%|█████████ | 3895/4288 [1:22:23<08:18,  1.27s/it, avr_loss=0.0859]
steps:  91%|█████████ | 3896/4288 [1:22:25<08:17,  1.27s/it, avr_loss=0.0859]
steps:  91%|█████████ | 3896/4288 [1:22:25<08:17,  1.27s/it, avr_loss=0.0853]
steps:  91%|█████████ | 3897/4288 [1:22:26<08:16,  1.27s/it, avr_loss=0.0853]
steps:  91%|█████████ | 3897/4288 [1:22:26<08:16,  1.27s/it, avr_loss=0.0852]
steps:  91%|█████████ | 3898/4288 [1:22:27<08:15,  1.27s/it, avr_loss=0.0852]
steps:  91%|█████████ | 3898/4288 [1:22:27<08:15,  1.27s/it, avr_loss=0.085] 
steps:  91%|█████████ | 3899/4288 [1:22:29<08:13,  1.27s/it, avr_loss=0.085]
steps:  91%|█████████ | 3899/4288 [1:22:29<08:13,  1.27s/it, avr_loss=0.0851]
steps:  91%|█████████ | 3900/4288 [1:22:30<08:12,  1.27s/it, avr_loss=0.0851]
steps:  91%|█████████ | 3900/4288 [1:22:30<08:12,  1.27s/it, avr_loss=0.0851]
steps:  91%|█████████ | 3901/4288 [1:22:31<08:11,  1.27s/it, avr_loss=0.0851]
steps:  91%|█████████ | 3901/4288 [1:22:31<08:11,  1.27s/it, avr_loss=0.0853]
steps:  91%|█████████ | 3902/4288 [1:22:32<08:09,  1.27s/it, avr_loss=0.0853]
steps:  91%|█████████ | 3902/4288 [1:22:32<08:09,  1.27s/it, avr_loss=0.0854]
steps:  91%|█████████ | 3903/4288 [1:22:34<08:08,  1.27s/it, avr_loss=0.0854]
steps:  91%|█████████ | 3903/4288 [1:22:34<08:08,  1.27s/it, avr_loss=0.0853]
steps:  91%|█████████ | 3904/4288 [1:22:35<08:07,  1.27s/it, avr_loss=0.0853]
steps:  91%|█████████ | 3904/4288 [1:22:35<08:07,  1.27s/it, avr_loss=0.0846]
steps:  91%|█████████ | 3905/4288 [1:22:36<08:06,  1.27s/it, avr_loss=0.0846]
steps:  91%|█████████ | 3905/4288 [1:22:36<08:06,  1.27s/it, avr_loss=0.0843]
steps:  91%|█████████ | 3906/4288 [1:22:38<08:04,  1.27s/it, avr_loss=0.0843]
steps:  91%|█████████ | 3906/4288 [1:22:38<08:04,  1.27s/it, avr_loss=0.0843]
steps:  91%|█████████ | 3907/4288 [1:22:39<08:03,  1.27s/it, avr_loss=0.0843]
steps:  91%|█████████ | 3907/4288 [1:22:39<08:03,  1.27s/it, avr_loss=0.084] 
steps:  91%|█████████ | 3908/4288 [1:22:40<08:02,  1.27s/it, avr_loss=0.084]
steps:  91%|█████████ | 3908/4288 [1:22:40<08:02,  1.27s/it, avr_loss=0.0837]
steps:  91%|█████████ | 3909/4288 [1:22:41<08:01,  1.27s/it, avr_loss=0.0837]
steps:  91%|█████████ | 3909/4288 [1:22:41<08:01,  1.27s/it, avr_loss=0.0837]
steps:  91%|█████████ | 3910/4288 [1:22:43<07:59,  1.27s/it, avr_loss=0.0837]
steps:  91%|█████████ | 3910/4288 [1:22:43<07:59,  1.27s/it, avr_loss=0.0836]
steps:  91%|█████████ | 3911/4288 [1:22:44<07:58,  1.27s/it, avr_loss=0.0836]
steps:  91%|█████████ | 3911/4288 [1:22:44<07:58,  1.27s/it, avr_loss=0.0836]
steps:  91%|█████████ | 3912/4288 [1:22:45<07:57,  1.27s/it, avr_loss=0.0836]
steps:  91%|█████████ | 3912/4288 [1:22:45<07:57,  1.27s/it, avr_loss=0.0836]
steps:  91%|█████████▏| 3913/4288 [1:22:46<07:56,  1.27s/it, avr_loss=0.0836]
steps:  91%|█████████▏| 3913/4288 [1:22:46<07:56,  1.27s/it, avr_loss=0.0839]
steps:  91%|█████████▏| 3914/4288 [1:22:48<07:54,  1.27s/it, avr_loss=0.0839]
steps:  91%|█████████▏| 3914/4288 [1:22:48<07:54,  1.27s/it, avr_loss=0.0839]
steps:  91%|█████████▏| 3915/4288 [1:22:49<07:53,  1.27s/it, avr_loss=0.0839]
steps:  91%|█████████▏| 3915/4288 [1:22:49<07:53,  1.27s/it, avr_loss=0.084] 
steps:  91%|█████████▏| 3916/4288 [1:22:50<07:52,  1.27s/it, avr_loss=0.084]
steps:  91%|█████████▏| 3916/4288 [1:22:50<07:52,  1.27s/it, avr_loss=0.0842]
steps:  91%|█████████▏| 3917/4288 [1:22:52<07:50,  1.27s/it, avr_loss=0.0842]
steps:  91%|█████████▏| 3917/4288 [1:22:52<07:50,  1.27s/it, avr_loss=0.0842]
steps:  91%|█████████▏| 3918/4288 [1:22:53<07:49,  1.27s/it, avr_loss=0.0842]
steps:  91%|█████████▏| 3918/4288 [1:22:53<07:49,  1.27s/it, avr_loss=0.084] 
steps:  91%|█████████▏| 3919/4288 [1:22:54<07:48,  1.27s/it, avr_loss=0.084]
steps:  91%|█████████▏| 3919/4288 [1:22:54<07:48,  1.27s/it, avr_loss=0.0844]
steps:  91%|█████████▏| 3920/4288 [1:22:55<07:47,  1.27s/it, avr_loss=0.0844]
steps:  91%|█████████▏| 3920/4288 [1:22:55<07:47,  1.27s/it, avr_loss=0.0843]
steps:  91%|█████████▏| 3921/4288 [1:22:57<07:45,  1.27s/it, avr_loss=0.0843]
steps:  91%|█████████▏| 3921/4288 [1:22:57<07:45,  1.27s/it, avr_loss=0.0842]
steps:  91%|█████████▏| 3922/4288 [1:22:58<07:44,  1.27s/it, avr_loss=0.0842]
steps:  91%|█████████▏| 3922/4288 [1:22:58<07:44,  1.27s/it, avr_loss=0.0845]
steps:  91%|█████████▏| 3923/4288 [1:22:59<07:43,  1.27s/it, avr_loss=0.0845]
steps:  91%|█████████▏| 3923/4288 [1:22:59<07:43,  1.27s/it, avr_loss=0.0845]
steps:  92%|█████████▏| 3924/4288 [1:23:01<07:42,  1.27s/it, avr_loss=0.0845]
steps:  92%|█████████▏| 3924/4288 [1:23:01<07:42,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3925/4288 [1:23:02<07:40,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3925/4288 [1:23:02<07:40,  1.27s/it, avr_loss=0.0847]
steps:  92%|█████████▏| 3926/4288 [1:23:03<07:39,  1.27s/it, avr_loss=0.0847]
steps:  92%|█████████▏| 3926/4288 [1:23:03<07:39,  1.27s/it, avr_loss=0.0847]
steps:  92%|█████████▏| 3927/4288 [1:23:04<07:38,  1.27s/it, avr_loss=0.0847]
steps:  92%|█████████▏| 3927/4288 [1:23:04<07:38,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3928/4288 [1:23:06<07:36,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3928/4288 [1:23:06<07:36,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3929/4288 [1:23:07<07:35,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3929/4288 [1:23:07<07:35,  1.27s/it, avr_loss=0.0842]
steps:  92%|█████████▏| 3930/4288 [1:23:08<07:34,  1.27s/it, avr_loss=0.0842]
steps:  92%|█████████▏| 3930/4288 [1:23:08<07:34,  1.27s/it, avr_loss=0.0844]
steps:  92%|█████████▏| 3931/4288 [1:23:09<07:33,  1.27s/it, avr_loss=0.0844]
steps:  92%|█████████▏| 3931/4288 [1:23:09<07:33,  1.27s/it, avr_loss=0.0844]
steps:  92%|█████████▏| 3932/4288 [1:23:11<07:31,  1.27s/it, avr_loss=0.0844]
steps:  92%|█████████▏| 3932/4288 [1:23:11<07:31,  1.27s/it, avr_loss=0.0845]
steps:  92%|█████████▏| 3933/4288 [1:23:12<07:30,  1.27s/it, avr_loss=0.0845]
steps:  92%|█████████▏| 3933/4288 [1:23:12<07:30,  1.27s/it, avr_loss=0.0845]
steps:  92%|█████████▏| 3934/4288 [1:23:13<07:29,  1.27s/it, avr_loss=0.0845]
steps:  92%|█████████▏| 3934/4288 [1:23:13<07:29,  1.27s/it, avr_loss=0.0844]
steps:  92%|█████████▏| 3935/4288 [1:23:14<07:28,  1.27s/it, avr_loss=0.0844]
steps:  92%|█████████▏| 3935/4288 [1:23:14<07:28,  1.27s/it, avr_loss=0.0846]
steps:  92%|█████████▏| 3936/4288 [1:23:15<07:26,  1.27s/it, avr_loss=0.0846]
steps:  92%|█████████▏| 3936/4288 [1:23:15<07:26,  1.27s/it, avr_loss=0.0845]
steps:  92%|█████████▏| 3937/4288 [1:23:17<07:25,  1.27s/it, avr_loss=0.0845]
steps:  92%|█████████▏| 3937/4288 [1:23:17<07:25,  1.27s/it, avr_loss=0.0844]
steps:  92%|█████████▏| 3938/4288 [1:23:18<07:24,  1.27s/it, avr_loss=0.0844]
steps:  92%|█████████▏| 3938/4288 [1:23:18<07:24,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3939/4288 [1:23:19<07:22,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3939/4288 [1:23:19<07:22,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3940/4288 [1:23:20<07:21,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3940/4288 [1:23:20<07:21,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3941/4288 [1:23:22<07:20,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3941/4288 [1:23:22<07:20,  1.27s/it, avr_loss=0.0842]
steps:  92%|█████████▏| 3942/4288 [1:23:23<07:19,  1.27s/it, avr_loss=0.0842]
steps:  92%|█████████▏| 3942/4288 [1:23:23<07:19,  1.27s/it, avr_loss=0.0841]
steps:  92%|█████████▏| 3943/4288 [1:23:24<07:17,  1.27s/it, avr_loss=0.0841]
steps:  92%|█████████▏| 3943/4288 [1:23:24<07:17,  1.27s/it, avr_loss=0.0838]
steps:  92%|█████████▏| 3944/4288 [1:23:25<07:16,  1.27s/it, avr_loss=0.0838]
steps:  92%|█████████▏| 3944/4288 [1:23:25<07:16,  1.27s/it, avr_loss=0.0839]
steps:  92%|█████████▏| 3945/4288 [1:23:27<07:15,  1.27s/it, avr_loss=0.0839]
steps:  92%|█████████▏| 3945/4288 [1:23:27<07:15,  1.27s/it, avr_loss=0.0839]
steps:  92%|█████████▏| 3946/4288 [1:23:28<07:14,  1.27s/it, avr_loss=0.0839]
steps:  92%|█████████▏| 3946/4288 [1:23:28<07:14,  1.27s/it, avr_loss=0.0844]
steps:  92%|█████████▏| 3947/4288 [1:23:29<07:12,  1.27s/it, avr_loss=0.0844]
steps:  92%|█████████▏| 3947/4288 [1:23:29<07:12,  1.27s/it, avr_loss=0.0846]
steps:  92%|█████████▏| 3948/4288 [1:23:30<07:11,  1.27s/it, avr_loss=0.0846]
steps:  92%|█████████▏| 3948/4288 [1:23:30<07:11,  1.27s/it, avr_loss=0.0846]
steps:  92%|█████████▏| 3949/4288 [1:23:32<07:10,  1.27s/it, avr_loss=0.0846]
steps:  92%|█████████▏| 3949/4288 [1:23:32<07:10,  1.27s/it, avr_loss=0.0847]
steps:  92%|█████████▏| 3950/4288 [1:23:33<07:09,  1.27s/it, avr_loss=0.0847]
steps:  92%|█████████▏| 3950/4288 [1:23:33<07:09,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3951/4288 [1:23:34<07:07,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3951/4288 [1:23:34<07:07,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3952/4288 [1:23:36<07:06,  1.27s/it, avr_loss=0.0843]
steps:  92%|█████████▏| 3952/4288 [1:23:36<07:06,  1.27s/it, avr_loss=0.084] 
steps:  92%|█████████▏| 3953/4288 [1:23:37<07:05,  1.27s/it, avr_loss=0.084]
steps:  92%|█████████▏| 3953/4288 [1:23:37<07:05,  1.27s/it, avr_loss=0.084]
steps:  92%|█████████▏| 3954/4288 [1:23:38<07:03,  1.27s/it, avr_loss=0.084]
steps:  92%|█████████▏| 3954/4288 [1:23:38<07:03,  1.27s/it, avr_loss=0.0838]
steps:  92%|█████████▏| 3955/4288 [1:23:39<07:02,  1.27s/it, avr_loss=0.0838]
steps:  92%|█████████▏| 3955/4288 [1:23:39<07:02,  1.27s/it, avr_loss=0.0837]
steps:  92%|█████████▏| 3956/4288 [1:23:41<07:01,  1.27s/it, avr_loss=0.0837]
steps:  92%|█████████▏| 3956/4288 [1:23:41<07:01,  1.27s/it, avr_loss=0.0824]
steps:  92%|█████████▏| 3957/4288 [1:23:42<07:00,  1.27s/it, avr_loss=0.0824]
steps:  92%|█████████▏| 3957/4288 [1:23:42<07:00,  1.27s/it, avr_loss=0.0823]
steps:  92%|█████████▏| 3958/4288 [1:23:43<06:58,  1.27s/it, avr_loss=0.0823]
steps:  92%|█████████▏| 3958/4288 [1:23:43<06:58,  1.27s/it, avr_loss=0.0818]
steps:  92%|█████████▏| 3959/4288 [1:23:44<06:57,  1.27s/it, avr_loss=0.0818]
steps:  92%|█████████▏| 3959/4288 [1:23:44<06:57,  1.27s/it, avr_loss=0.0815]
steps:  92%|█████████▏| 3960/4288 [1:23:46<06:56,  1.27s/it, avr_loss=0.0815]
steps:  92%|█████████▏| 3960/4288 [1:23:46<06:56,  1.27s/it, avr_loss=0.0814]
steps:  92%|█████████▏| 3961/4288 [1:23:47<06:55,  1.27s/it, avr_loss=0.0814]
steps:  92%|█████████▏| 3961/4288 [1:23:47<06:55,  1.27s/it, avr_loss=0.0814]
steps:  92%|█████████▏| 3962/4288 [1:23:48<06:53,  1.27s/it, avr_loss=0.0814]
steps:  92%|█████████▏| 3962/4288 [1:23:48<06:53,  1.27s/it, avr_loss=0.0813]
steps:  92%|█████████▏| 3963/4288 [1:23:49<06:52,  1.27s/it, avr_loss=0.0813]
steps:  92%|█████████▏| 3963/4288 [1:23:49<06:52,  1.27s/it, avr_loss=0.0813]
steps:  92%|█████████▏| 3964/4288 [1:23:50<06:51,  1.27s/it, avr_loss=0.0813]
steps:  92%|█████████▏| 3964/4288 [1:23:50<06:51,  1.27s/it, avr_loss=0.0814]
steps:  92%|█████████▏| 3965/4288 [1:23:52<06:49,  1.27s/it, avr_loss=0.0814]
steps:  92%|█████████▏| 3965/4288 [1:23:52<06:49,  1.27s/it, avr_loss=0.0814]
steps:  92%|█████████▏| 3966/4288 [1:23:53<06:48,  1.27s/it, avr_loss=0.0814]
steps:  92%|█████████▏| 3966/4288 [1:23:53<06:48,  1.27s/it, avr_loss=0.0814]
steps:  93%|█████████▎| 3967/4288 [1:23:54<06:47,  1.27s/it, avr_loss=0.0814]
steps:  93%|█████████▎| 3967/4288 [1:23:54<06:47,  1.27s/it, avr_loss=0.0814]
steps:  93%|█████████▎| 3968/4288 [1:23:55<06:46,  1.27s/it, avr_loss=0.0814]
steps:  93%|█████████▎| 3968/4288 [1:23:55<06:46,  1.27s/it, avr_loss=0.0815]
steps:  93%|█████████▎| 3969/4288 [1:23:57<06:44,  1.27s/it, avr_loss=0.0815]
steps:  93%|█████████▎| 3969/4288 [1:23:57<06:44,  1.27s/it, avr_loss=0.0815]
steps:  93%|█████████▎| 3970/4288 [1:23:58<06:43,  1.27s/it, avr_loss=0.0815]
steps:  93%|█████████▎| 3970/4288 [1:23:58<06:43,  1.27s/it, avr_loss=0.0814]
steps:  93%|█████████▎| 3971/4288 [1:23:59<06:42,  1.27s/it, avr_loss=0.0814]
steps:  93%|█████████▎| 3971/4288 [1:23:59<06:42,  1.27s/it, avr_loss=0.0813]
steps:  93%|█████████▎| 3972/4288 [1:24:01<06:41,  1.27s/it, avr_loss=0.0813]
steps:  93%|█████████▎| 3972/4288 [1:24:01<06:41,  1.27s/it, avr_loss=0.0821]
steps:  93%|█████████▎| 3973/4288 [1:24:02<06:39,  1.27s/it, avr_loss=0.0821]
steps:  93%|█████████▎| 3973/4288 [1:24:02<06:39,  1.27s/it, avr_loss=0.0821]
steps:  93%|█████████▎| 3974/4288 [1:24:03<06:38,  1.27s/it, avr_loss=0.0821]
steps:  93%|█████████▎| 3974/4288 [1:24:03<06:38,  1.27s/it, avr_loss=0.0822]
steps:  93%|█████████▎| 3975/4288 [1:24:04<06:37,  1.27s/it, avr_loss=0.0822]
steps:  93%|█████████▎| 3975/4288 [1:24:04<06:37,  1.27s/it, avr_loss=0.0823]
steps:  93%|█████████▎| 3976/4288 [1:24:06<06:35,  1.27s/it, avr_loss=0.0823]
steps:  93%|█████████▎| 3976/4288 [1:24:06<06:35,  1.27s/it, avr_loss=0.0822]
steps:  93%|█████████▎| 3977/4288 [1:24:07<06:34,  1.27s/it, avr_loss=0.0822]
steps:  93%|█████████▎| 3977/4288 [1:24:07<06:34,  1.27s/it, avr_loss=0.0823]
steps:  93%|█████████▎| 3978/4288 [1:24:08<06:33,  1.27s/it, avr_loss=0.0823]
steps:  93%|█████████▎| 3978/4288 [1:24:08<06:33,  1.27s/it, avr_loss=0.082] 
steps:  93%|█████████▎| 3979/4288 [1:24:10<06:32,  1.27s/it, avr_loss=0.082]
steps:  93%|█████████▎| 3979/4288 [1:24:10<06:32,  1.27s/it, avr_loss=0.0819]
steps:  93%|█████████▎| 3980/4288 [1:24:11<06:30,  1.27s/it, avr_loss=0.0819]
steps:  93%|█████████▎| 3980/4288 [1:24:11<06:30,  1.27s/it, avr_loss=0.0816]
steps:  93%|█████████▎| 3981/4288 [1:24:12<06:29,  1.27s/it, avr_loss=0.0816]
steps:  93%|█████████▎| 3981/4288 [1:24:12<06:29,  1.27s/it, avr_loss=0.0817]
steps:  93%|█████████▎| 3982/4288 [1:24:14<06:28,  1.27s/it, avr_loss=0.0817]
steps:  93%|█████████▎| 3982/4288 [1:24:14<06:28,  1.27s/it, avr_loss=0.082] 
steps:  93%|█████████▎| 3983/4288 [1:24:15<06:27,  1.27s/it, avr_loss=0.082]
steps:  93%|█████████▎| 3983/4288 [1:24:15<06:27,  1.27s/it, avr_loss=0.0825]
steps:  93%|█████████▎| 3984/4288 [1:24:16<06:25,  1.27s/it, avr_loss=0.0825]
steps:  93%|█████████▎| 3984/4288 [1:24:16<06:25,  1.27s/it, avr_loss=0.0827]
steps:  93%|█████████▎| 3985/4288 [1:24:18<06:24,  1.27s/it, avr_loss=0.0827]
steps:  93%|█████████▎| 3985/4288 [1:24:18<06:24,  1.27s/it, avr_loss=0.0827]
steps:  93%|█████████▎| 3986/4288 [1:24:19<06:23,  1.27s/it, avr_loss=0.0827]
steps:  93%|█████████▎| 3986/4288 [1:24:19<06:23,  1.27s/it, avr_loss=0.0828]
steps:  93%|█████████▎| 3987/4288 [1:24:20<06:22,  1.27s/it, avr_loss=0.0828]
steps:  93%|█████████▎| 3987/4288 [1:24:20<06:22,  1.27s/it, avr_loss=0.0829]
steps:  93%|█████████▎| 3988/4288 [1:24:22<06:20,  1.27s/it, avr_loss=0.0829]
steps:  93%|█████████▎| 3988/4288 [1:24:22<06:20,  1.27s/it, avr_loss=0.0833]
steps:  93%|█████████▎| 3989/4288 [1:24:23<06:19,  1.27s/it, avr_loss=0.0833]
steps:  93%|█████████▎| 3989/4288 [1:24:23<06:19,  1.27s/it, avr_loss=0.0834]
steps:  93%|█████████▎| 3990/4288 [1:24:24<06:18,  1.27s/it, avr_loss=0.0834]
steps:  93%|█████████▎| 3990/4288 [1:24:24<06:18,  1.27s/it, avr_loss=0.0835]
steps:  93%|█████████▎| 3991/4288 [1:24:25<06:16,  1.27s/it, avr_loss=0.0835]
steps:  93%|█████████▎| 3991/4288 [1:24:25<06:16,  1.27s/it, avr_loss=0.0837]
steps:  93%|█████████▎| 3992/4288 [1:24:27<06:15,  1.27s/it, avr_loss=0.0837]
steps:  93%|█████████▎| 3992/4288 [1:24:27<06:15,  1.27s/it, avr_loss=0.0839]
steps:  93%|█████████▎| 3993/4288 [1:24:28<06:14,  1.27s/it, avr_loss=0.0839]
steps:  93%|█████████▎| 3993/4288 [1:24:28<06:14,  1.27s/it, avr_loss=0.0839]
steps:  93%|█████████▎| 3994/4288 [1:24:29<06:13,  1.27s/it, avr_loss=0.0839]
steps:  93%|█████████▎| 3994/4288 [1:24:29<06:13,  1.27s/it, avr_loss=0.0839]
steps:  93%|█████████▎| 3995/4288 [1:24:30<06:11,  1.27s/it, avr_loss=0.0839]
steps:  93%|█████████▎| 3995/4288 [1:24:30<06:11,  1.27s/it, avr_loss=0.0837]
steps:  93%|█████████▎| 3996/4288 [1:24:32<06:10,  1.27s/it, avr_loss=0.0837]
steps:  93%|█████████▎| 3996/4288 [1:24:32<06:10,  1.27s/it, avr_loss=0.0838]
steps:  93%|█████████▎| 3997/4288 [1:24:33<06:09,  1.27s/it, avr_loss=0.0838]
steps:  93%|█████████▎| 3997/4288 [1:24:33<06:09,  1.27s/it, avr_loss=0.0836]
steps:  93%|█████████▎| 3998/4288 [1:24:34<06:08,  1.27s/it, avr_loss=0.0836]
steps:  93%|█████████▎| 3998/4288 [1:24:34<06:08,  1.27s/it, avr_loss=0.0836]
steps:  93%|█████████▎| 3999/4288 [1:24:35<06:06,  1.27s/it, avr_loss=0.0836]
steps:  93%|█████████▎| 3999/4288 [1:24:35<06:06,  1.27s/it, avr_loss=0.0839]
steps:  93%|█████████▎| 4000/4288 [1:24:37<06:05,  1.27s/it, avr_loss=0.0839]
steps:  93%|█████████▎| 4000/4288 [1:24:37<06:05,  1.27s/it, avr_loss=0.0833]
steps:  93%|█████████▎| 4001/4288 [1:24:38<06:04,  1.27s/it, avr_loss=0.0833]
steps:  93%|█████████▎| 4001/4288 [1:24:38<06:04,  1.27s/it, avr_loss=0.0834]
steps:  93%|█████████▎| 4002/4288 [1:24:39<06:03,  1.27s/it, avr_loss=0.0834]
steps:  93%|█████████▎| 4002/4288 [1:24:39<06:03,  1.27s/it, avr_loss=0.0833]
steps:  93%|█████████▎| 4003/4288 [1:24:41<06:01,  1.27s/it, avr_loss=0.0833]
steps:  93%|█████████▎| 4003/4288 [1:24:41<06:01,  1.27s/it, avr_loss=0.0836]
steps:  93%|█████████▎| 4004/4288 [1:24:42<06:00,  1.27s/it, avr_loss=0.0836]
steps:  93%|█████████▎| 4004/4288 [1:24:42<06:00,  1.27s/it, avr_loss=0.0831]
steps:  93%|█████████▎| 4005/4288 [1:24:43<05:59,  1.27s/it, avr_loss=0.0831]
steps:  93%|█████████▎| 4005/4288 [1:24:43<05:59,  1.27s/it, avr_loss=0.0832]
steps:  93%|█████████▎| 4006/4288 [1:24:44<05:57,  1.27s/it, avr_loss=0.0832]
steps:  93%|█████████▎| 4006/4288 [1:24:44<05:57,  1.27s/it, avr_loss=0.0834]
steps:  93%|█████████▎| 4007/4288 [1:24:46<05:56,  1.27s/it, avr_loss=0.0834]
steps:  93%|█████████▎| 4007/4288 [1:24:46<05:56,  1.27s/it, avr_loss=0.0831]
steps:  93%|█████████▎| 4008/4288 [1:24:47<05:55,  1.27s/it, avr_loss=0.0831]
steps:  93%|█████████▎| 4008/4288 [1:24:47<05:55,  1.27s/it, avr_loss=0.0832]
steps:  93%|█████████▎| 4009/4288 [1:24:48<05:54,  1.27s/it, avr_loss=0.0832]
steps:  93%|█████████▎| 4009/4288 [1:24:48<05:54,  1.27s/it, avr_loss=0.0833]
steps:  94%|█████████▎| 4010/4288 [1:24:50<05:52,  1.27s/it, avr_loss=0.0833]
steps:  94%|█████████▎| 4010/4288 [1:24:50<05:52,  1.27s/it, avr_loss=0.0835]
steps:  94%|█████████▎| 4011/4288 [1:24:51<05:51,  1.27s/it, avr_loss=0.0835]
steps:  94%|█████████▎| 4011/4288 [1:24:51<05:51,  1.27s/it, avr_loss=0.0837]
steps:  94%|█████████▎| 4012/4288 [1:24:52<05:50,  1.27s/it, avr_loss=0.0837]
steps:  94%|█████████▎| 4012/4288 [1:24:52<05:50,  1.27s/it, avr_loss=0.084] 
steps:  94%|█████████▎| 4013/4288 [1:24:54<05:49,  1.27s/it, avr_loss=0.084]
steps:  94%|█████████▎| 4013/4288 [1:24:54<05:49,  1.27s/it, avr_loss=0.0842]
steps:  94%|█████████▎| 4014/4288 [1:24:55<05:47,  1.27s/it, avr_loss=0.0842]
steps:  94%|█████████▎| 4014/4288 [1:24:55<05:47,  1.27s/it, avr_loss=0.0842]
steps:  94%|█████████▎| 4015/4288 [1:24:56<05:46,  1.27s/it, avr_loss=0.0842]
steps:  94%|█████████▎| 4015/4288 [1:24:56<05:46,  1.27s/it, avr_loss=0.0841]
steps:  94%|█████████▎| 4016/4288 [1:24:57<05:45,  1.27s/it, avr_loss=0.0841]
steps:  94%|█████████▎| 4016/4288 [1:24:57<05:45,  1.27s/it, avr_loss=0.0834]
steps:  94%|█████████▎| 4017/4288 [1:24:59<05:44,  1.27s/it, avr_loss=0.0834]
steps:  94%|█████████▎| 4017/4288 [1:24:59<05:44,  1.27s/it, avr_loss=0.0833]
steps:  94%|█████████▎| 4018/4288 [1:25:00<05:42,  1.27s/it, avr_loss=0.0833]
steps:  94%|█████████▎| 4018/4288 [1:25:00<05:42,  1.27s/it, avr_loss=0.0827]
steps:  94%|█████████▎| 4019/4288 [1:25:01<05:41,  1.27s/it, avr_loss=0.0827]
steps:  94%|█████████▎| 4019/4288 [1:25:01<05:41,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4020/4288 [1:25:03<05:40,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4020/4288 [1:25:03<05:40,  1.27s/it, avr_loss=0.0829]2026-07-24 15:00:48 INFO     epoch is incremented. current_epoch: dataset.py:464
                             15, epoch: 16                                      
2026-07-24 15:00:48 INFO     epoch is incremented. current_epoch: dataset.py:464
                             15, epoch: 16                                      

steps:  94%|█████████▍| 4021/4288 [1:25:04<05:38,  1.27s/it, avr_loss=0.0829]
steps:  94%|█████████▍| 4021/4288 [1:25:04<05:38,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4022/4288 [1:25:05<05:37,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4022/4288 [1:25:05<05:37,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4023/4288 [1:25:06<05:36,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4023/4288 [1:25:06<05:36,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4024/4288 [1:25:08<05:35,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4024/4288 [1:25:08<05:35,  1.27s/it, avr_loss=0.0829]
steps:  94%|█████████▍| 4025/4288 [1:25:09<05:33,  1.27s/it, avr_loss=0.0829]
steps:  94%|█████████▍| 4025/4288 [1:25:09<05:33,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4026/4288 [1:25:10<05:32,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4026/4288 [1:25:10<05:32,  1.27s/it, avr_loss=0.083] 
steps:  94%|█████████▍| 4027/4288 [1:25:11<05:31,  1.27s/it, avr_loss=0.083]
steps:  94%|█████████▍| 4027/4288 [1:25:11<05:31,  1.27s/it, avr_loss=0.083]
steps:  94%|█████████▍| 4028/4288 [1:25:12<05:30,  1.27s/it, avr_loss=0.083]
steps:  94%|█████████▍| 4028/4288 [1:25:12<05:30,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4029/4288 [1:25:13<05:28,  1.27s/it, avr_loss=0.0828]
steps:  94%|█████████▍| 4029/4288 [1:25:13<05:28,  1.27s/it, avr_loss=0.083] 
steps:  94%|█████████▍| 4030/4288 [1:25:15<05:27,  1.27s/it, avr_loss=0.083]
steps:  94%|█████████▍| 4030/4288 [1:25:15<05:27,  1.27s/it, avr_loss=0.083]
steps:  94%|█████████▍| 4031/4288 [1:25:16<05:26,  1.27s/it, avr_loss=0.083]
steps:  94%|█████████▍| 4031/4288 [1:25:16<05:26,  1.27s/it, avr_loss=0.0829]
steps:  94%|█████████▍| 4032/4288 [1:25:17<05:24,  1.27s/it, avr_loss=0.0829]
steps:  94%|█████████▍| 4032/4288 [1:25:17<05:24,  1.27s/it, avr_loss=0.0832]
steps:  94%|█████████▍| 4033/4288 [1:25:19<05:23,  1.27s/it, avr_loss=0.0832]
steps:  94%|█████████▍| 4033/4288 [1:25:19<05:23,  1.27s/it, avr_loss=0.0833]
steps:  94%|█████████▍| 4034/4288 [1:25:20<05:22,  1.27s/it, avr_loss=0.0833]
steps:  94%|█████████▍| 4034/4288 [1:25:20<05:22,  1.27s/it, avr_loss=0.0833]
steps:  94%|█████████▍| 4035/4288 [1:25:21<05:21,  1.27s/it, avr_loss=0.0833]
steps:  94%|█████████▍| 4035/4288 [1:25:21<05:21,  1.27s/it, avr_loss=0.0831]
steps:  94%|█████████▍| 4036/4288 [1:25:22<05:19,  1.27s/it, avr_loss=0.0831]
steps:  94%|█████████▍| 4036/4288 [1:25:22<05:19,  1.27s/it, avr_loss=0.0837]
steps:  94%|█████████▍| 4037/4288 [1:25:24<05:18,  1.27s/it, avr_loss=0.0837]
steps:  94%|█████████▍| 4037/4288 [1:25:24<05:18,  1.27s/it, avr_loss=0.0837]
steps:  94%|█████████▍| 4038/4288 [1:25:25<05:17,  1.27s/it, avr_loss=0.0837]
steps:  94%|█████████▍| 4038/4288 [1:25:25<05:17,  1.27s/it, avr_loss=0.0835]
steps:  94%|█████████▍| 4039/4288 [1:25:26<05:16,  1.27s/it, avr_loss=0.0835]
steps:  94%|█████████▍| 4039/4288 [1:25:26<05:16,  1.27s/it, avr_loss=0.084] 
steps:  94%|█████████▍| 4040/4288 [1:25:28<05:14,  1.27s/it, avr_loss=0.084]
steps:  94%|█████████▍| 4040/4288 [1:25:28<05:14,  1.27s/it, avr_loss=0.0839]
steps:  94%|█████████▍| 4041/4288 [1:25:29<05:13,  1.27s/it, avr_loss=0.0839]
steps:  94%|█████████▍| 4041/4288 [1:25:29<05:13,  1.27s/it, avr_loss=0.0836]
steps:  94%|█████████▍| 4042/4288 [1:25:30<05:12,  1.27s/it, avr_loss=0.0836]
steps:  94%|█████████▍| 4042/4288 [1:25:30<05:12,  1.27s/it, avr_loss=0.0837]
steps:  94%|█████████▍| 4043/4288 [1:25:32<05:11,  1.27s/it, avr_loss=0.0837]
steps:  94%|█████████▍| 4043/4288 [1:25:32<05:11,  1.27s/it, avr_loss=0.0835]
steps:  94%|█████████▍| 4044/4288 [1:25:33<05:09,  1.27s/it, avr_loss=0.0835]
steps:  94%|█████████▍| 4044/4288 [1:25:33<05:09,  1.27s/it, avr_loss=0.0837]
steps:  94%|█████████▍| 4045/4288 [1:25:34<05:08,  1.27s/it, avr_loss=0.0837]
steps:  94%|█████████▍| 4045/4288 [1:25:34<05:08,  1.27s/it, avr_loss=0.0835]
steps:  94%|█████████▍| 4046/4288 [1:25:35<05:07,  1.27s/it, avr_loss=0.0835]
steps:  94%|█████████▍| 4046/4288 [1:25:35<05:07,  1.27s/it, avr_loss=0.0836]
steps:  94%|█████████▍| 4047/4288 [1:25:37<05:05,  1.27s/it, avr_loss=0.0836]
steps:  94%|█████████▍| 4047/4288 [1:25:37<05:05,  1.27s/it, avr_loss=0.0838]
steps:  94%|█████████▍| 4048/4288 [1:25:38<05:04,  1.27s/it, avr_loss=0.0838]
steps:  94%|█████████▍| 4048/4288 [1:25:38<05:04,  1.27s/it, avr_loss=0.0841]
steps:  94%|█████████▍| 4049/4288 [1:25:39<05:03,  1.27s/it, avr_loss=0.0841]
steps:  94%|█████████▍| 4049/4288 [1:25:39<05:03,  1.27s/it, avr_loss=0.084] 
steps:  94%|█████████▍| 4050/4288 [1:25:40<05:02,  1.27s/it, avr_loss=0.084]
steps:  94%|█████████▍| 4050/4288 [1:25:40<05:02,  1.27s/it, avr_loss=0.0841]
steps:  94%|█████████▍| 4051/4288 [1:25:42<05:00,  1.27s/it, avr_loss=0.0841]
steps:  94%|█████████▍| 4051/4288 [1:25:42<05:00,  1.27s/it, avr_loss=0.0841]
steps:  94%|█████████▍| 4052/4288 [1:25:43<04:59,  1.27s/it, avr_loss=0.0841]
steps:  94%|█████████▍| 4052/4288 [1:25:43<04:59,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4053/4288 [1:25:44<04:58,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4053/4288 [1:25:44<04:58,  1.27s/it, avr_loss=0.0839]
steps:  95%|█████████▍| 4054/4288 [1:25:45<04:57,  1.27s/it, avr_loss=0.0839]
steps:  95%|█████████▍| 4054/4288 [1:25:45<04:57,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4055/4288 [1:25:47<04:55,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4055/4288 [1:25:47<04:55,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4056/4288 [1:25:48<04:54,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4056/4288 [1:25:48<04:54,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4057/4288 [1:25:49<04:53,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4057/4288 [1:25:49<04:53,  1.27s/it, avr_loss=0.0839]
steps:  95%|█████████▍| 4058/4288 [1:25:51<04:51,  1.27s/it, avr_loss=0.0839]
steps:  95%|█████████▍| 4058/4288 [1:25:51<04:51,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▍| 4059/4288 [1:25:52<04:50,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▍| 4059/4288 [1:25:52<04:50,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▍| 4060/4288 [1:25:53<04:49,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▍| 4060/4288 [1:25:53<04:49,  1.27s/it, avr_loss=0.0834]
steps:  95%|█████████▍| 4061/4288 [1:25:55<04:48,  1.27s/it, avr_loss=0.0834]
steps:  95%|█████████▍| 4061/4288 [1:25:55<04:48,  1.27s/it, avr_loss=0.0834]
steps:  95%|█████████▍| 4062/4288 [1:25:56<04:46,  1.27s/it, avr_loss=0.0834]
steps:  95%|█████████▍| 4062/4288 [1:25:56<04:46,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▍| 4063/4288 [1:25:57<04:45,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▍| 4063/4288 [1:25:57<04:45,  1.27s/it, avr_loss=0.0836]
steps:  95%|█████████▍| 4064/4288 [1:25:58<04:44,  1.27s/it, avr_loss=0.0836]
steps:  95%|█████████▍| 4064/4288 [1:25:58<04:44,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4065/4288 [1:26:00<04:43,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4065/4288 [1:26:00<04:43,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4066/4288 [1:26:01<04:41,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4066/4288 [1:26:01<04:41,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4067/4288 [1:26:02<04:40,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4067/4288 [1:26:02<04:40,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▍| 4068/4288 [1:26:03<04:39,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▍| 4068/4288 [1:26:03<04:39,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▍| 4069/4288 [1:26:05<04:37,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▍| 4069/4288 [1:26:05<04:37,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4070/4288 [1:26:06<04:36,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4070/4288 [1:26:06<04:36,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4071/4288 [1:26:07<04:35,  1.27s/it, avr_loss=0.0838]
steps:  95%|█████████▍| 4071/4288 [1:26:07<04:35,  1.27s/it, avr_loss=0.0839]
steps:  95%|█████████▍| 4072/4288 [1:26:08<04:34,  1.27s/it, avr_loss=0.0839]
steps:  95%|█████████▍| 4072/4288 [1:26:08<04:34,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▍| 4073/4288 [1:26:10<04:32,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▍| 4073/4288 [1:26:10<04:32,  1.27s/it, avr_loss=0.0836]
steps:  95%|█████████▌| 4074/4288 [1:26:11<04:31,  1.27s/it, avr_loss=0.0836]
steps:  95%|█████████▌| 4074/4288 [1:26:11<04:31,  1.27s/it, avr_loss=0.0835]
steps:  95%|█████████▌| 4075/4288 [1:26:12<04:30,  1.27s/it, avr_loss=0.0835]
steps:  95%|█████████▌| 4075/4288 [1:26:12<04:30,  1.27s/it, avr_loss=0.0835]
steps:  95%|█████████▌| 4076/4288 [1:26:13<04:29,  1.27s/it, avr_loss=0.0835]
steps:  95%|█████████▌| 4076/4288 [1:26:13<04:29,  1.27s/it, avr_loss=0.0832]
steps:  95%|█████████▌| 4077/4288 [1:26:15<04:27,  1.27s/it, avr_loss=0.0832]
steps:  95%|█████████▌| 4077/4288 [1:26:15<04:27,  1.27s/it, avr_loss=0.0832]
steps:  95%|█████████▌| 4078/4288 [1:26:16<04:26,  1.27s/it, avr_loss=0.0832]
steps:  95%|█████████▌| 4078/4288 [1:26:16<04:26,  1.27s/it, avr_loss=0.0828]
steps:  95%|█████████▌| 4079/4288 [1:26:17<04:25,  1.27s/it, avr_loss=0.0828]
steps:  95%|█████████▌| 4079/4288 [1:26:17<04:25,  1.27s/it, avr_loss=0.0828]
steps:  95%|█████████▌| 4080/4288 [1:26:18<04:24,  1.27s/it, avr_loss=0.0828]
steps:  95%|█████████▌| 4080/4288 [1:26:18<04:24,  1.27s/it, avr_loss=0.0828]
steps:  95%|█████████▌| 4081/4288 [1:26:20<04:22,  1.27s/it, avr_loss=0.0828]
steps:  95%|█████████▌| 4081/4288 [1:26:20<04:22,  1.27s/it, avr_loss=0.0834]
steps:  95%|█████████▌| 4082/4288 [1:26:21<04:21,  1.27s/it, avr_loss=0.0834]
steps:  95%|█████████▌| 4082/4288 [1:26:21<04:21,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▌| 4083/4288 [1:26:22<04:20,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▌| 4083/4288 [1:26:22<04:20,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▌| 4084/4288 [1:26:23<04:18,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▌| 4084/4288 [1:26:23<04:18,  1.27s/it, avr_loss=0.0832]
steps:  95%|█████████▌| 4085/4288 [1:26:24<04:17,  1.27s/it, avr_loss=0.0832]
steps:  95%|█████████▌| 4085/4288 [1:26:24<04:17,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▌| 4086/4288 [1:26:26<04:16,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▌| 4086/4288 [1:26:26<04:16,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▌| 4087/4288 [1:26:27<04:15,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▌| 4087/4288 [1:26:27<04:15,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▌| 4088/4288 [1:26:28<04:13,  1.27s/it, avr_loss=0.0833]
steps:  95%|█████████▌| 4088/4288 [1:26:28<04:13,  1.27s/it, avr_loss=0.0834]
steps:  95%|█████████▌| 4089/4288 [1:26:29<04:12,  1.27s/it, avr_loss=0.0834]
steps:  95%|█████████▌| 4089/4288 [1:26:29<04:12,  1.27s/it, avr_loss=0.0835]
steps:  95%|█████████▌| 4090/4288 [1:26:31<04:11,  1.27s/it, avr_loss=0.0835]
steps:  95%|█████████▌| 4090/4288 [1:26:31<04:11,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▌| 4091/4288 [1:26:32<04:10,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▌| 4091/4288 [1:26:32<04:10,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▌| 4092/4288 [1:26:33<04:08,  1.27s/it, avr_loss=0.0837]
steps:  95%|█████████▌| 4092/4288 [1:26:33<04:08,  1.27s/it, avr_loss=0.0842]
steps:  95%|█████████▌| 4093/4288 [1:26:35<04:07,  1.27s/it, avr_loss=0.0842]
steps:  95%|█████████▌| 4093/4288 [1:26:35<04:07,  1.27s/it, avr_loss=0.0843]
steps:  95%|█████████▌| 4094/4288 [1:26:36<04:06,  1.27s/it, avr_loss=0.0843]
steps:  95%|█████████▌| 4094/4288 [1:26:36<04:06,  1.27s/it, avr_loss=0.0843]
steps:  95%|█████████▌| 4095/4288 [1:26:37<04:04,  1.27s/it, avr_loss=0.0843]
steps:  95%|█████████▌| 4095/4288 [1:26:37<04:04,  1.27s/it, avr_loss=0.0842]
steps:  96%|█████████▌| 4096/4288 [1:26:38<04:03,  1.27s/it, avr_loss=0.0842]
steps:  96%|█████████▌| 4096/4288 [1:26:38<04:03,  1.27s/it, avr_loss=0.0843]
steps:  96%|█████████▌| 4097/4288 [1:26:40<04:02,  1.27s/it, avr_loss=0.0843]
steps:  96%|█████████▌| 4097/4288 [1:26:40<04:02,  1.27s/it, avr_loss=0.0843]
steps:  96%|█████████▌| 4098/4288 [1:26:41<04:01,  1.27s/it, avr_loss=0.0843]
steps:  96%|█████████▌| 4098/4288 [1:26:41<04:01,  1.27s/it, avr_loss=0.084] 
steps:  96%|█████████▌| 4099/4288 [1:26:42<03:59,  1.27s/it, avr_loss=0.084]
steps:  96%|█████████▌| 4099/4288 [1:26:42<03:59,  1.27s/it, avr_loss=0.0839]
steps:  96%|█████████▌| 4100/4288 [1:26:44<03:58,  1.27s/it, avr_loss=0.0839]
steps:  96%|█████████▌| 4100/4288 [1:26:44<03:58,  1.27s/it, avr_loss=0.0838]
steps:  96%|█████████▌| 4101/4288 [1:26:45<03:57,  1.27s/it, avr_loss=0.0838]
steps:  96%|█████████▌| 4101/4288 [1:26:45<03:57,  1.27s/it, avr_loss=0.0838]
steps:  96%|█████████▌| 4102/4288 [1:26:46<03:56,  1.27s/it, avr_loss=0.0838]
steps:  96%|█████████▌| 4102/4288 [1:26:46<03:56,  1.27s/it, avr_loss=0.0842]
steps:  96%|█████████▌| 4103/4288 [1:26:47<03:54,  1.27s/it, avr_loss=0.0842]
steps:  96%|█████████▌| 4103/4288 [1:26:47<03:54,  1.27s/it, avr_loss=0.0842]
steps:  96%|█████████▌| 4104/4288 [1:26:48<03:53,  1.27s/it, avr_loss=0.0842]
steps:  96%|█████████▌| 4104/4288 [1:26:48<03:53,  1.27s/it, avr_loss=0.084] 
steps:  96%|█████████▌| 4105/4288 [1:26:50<03:52,  1.27s/it, avr_loss=0.084]
steps:  96%|█████████▌| 4105/4288 [1:26:50<03:52,  1.27s/it, avr_loss=0.084]
steps:  96%|█████████▌| 4106/4288 [1:26:51<03:50,  1.27s/it, avr_loss=0.084]
steps:  96%|█████████▌| 4106/4288 [1:26:51<03:50,  1.27s/it, avr_loss=0.084]
steps:  96%|█████████▌| 4107/4288 [1:26:52<03:49,  1.27s/it, avr_loss=0.084]
steps:  96%|█████████▌| 4107/4288 [1:26:52<03:49,  1.27s/it, avr_loss=0.0841]
steps:  96%|█████████▌| 4108/4288 [1:26:53<03:48,  1.27s/it, avr_loss=0.0841]
steps:  96%|█████████▌| 4108/4288 [1:26:53<03:48,  1.27s/it, avr_loss=0.0838]
steps:  96%|█████████▌| 4109/4288 [1:26:55<03:47,  1.27s/it, avr_loss=0.0838]
steps:  96%|█████████▌| 4109/4288 [1:26:55<03:47,  1.27s/it, avr_loss=0.0837]
steps:  96%|█████████▌| 4110/4288 [1:26:56<03:45,  1.27s/it, avr_loss=0.0837]
steps:  96%|█████████▌| 4110/4288 [1:26:56<03:45,  1.27s/it, avr_loss=0.0838]
steps:  96%|█████████▌| 4111/4288 [1:26:57<03:44,  1.27s/it, avr_loss=0.0838]
steps:  96%|█████████▌| 4111/4288 [1:26:57<03:44,  1.27s/it, avr_loss=0.0837]
steps:  96%|█████████▌| 4112/4288 [1:26:58<03:43,  1.27s/it, avr_loss=0.0837]
steps:  96%|█████████▌| 4112/4288 [1:26:58<03:43,  1.27s/it, avr_loss=0.0836]
steps:  96%|█████████▌| 4113/4288 [1:27:00<03:42,  1.27s/it, avr_loss=0.0836]
steps:  96%|█████████▌| 4113/4288 [1:27:00<03:42,  1.27s/it, avr_loss=0.0837]
steps:  96%|█████████▌| 4114/4288 [1:27:01<03:40,  1.27s/it, avr_loss=0.0837]
steps:  96%|█████████▌| 4114/4288 [1:27:01<03:40,  1.27s/it, avr_loss=0.0836]
steps:  96%|█████████▌| 4115/4288 [1:27:02<03:39,  1.27s/it, avr_loss=0.0836]
steps:  96%|█████████▌| 4115/4288 [1:27:02<03:39,  1.27s/it, avr_loss=0.0837]
steps:  96%|█████████▌| 4116/4288 [1:27:03<03:38,  1.27s/it, avr_loss=0.0837]
steps:  96%|█████████▌| 4116/4288 [1:27:03<03:38,  1.27s/it, avr_loss=0.0837]
steps:  96%|█████████▌| 4117/4288 [1:27:05<03:37,  1.27s/it, avr_loss=0.0837]
steps:  96%|█████████▌| 4117/4288 [1:27:05<03:37,  1.27s/it, avr_loss=0.0843]
steps:  96%|█████████▌| 4118/4288 [1:27:06<03:35,  1.27s/it, avr_loss=0.0843]
steps:  96%|█████████▌| 4118/4288 [1:27:06<03:35,  1.27s/it, avr_loss=0.0846]
steps:  96%|█████████▌| 4119/4288 [1:27:07<03:34,  1.27s/it, avr_loss=0.0846]
steps:  96%|█████████▌| 4119/4288 [1:27:07<03:34,  1.27s/it, avr_loss=0.0846]
steps:  96%|█████████▌| 4120/4288 [1:27:08<03:33,  1.27s/it, avr_loss=0.0846]
steps:  96%|█████████▌| 4120/4288 [1:27:08<03:33,  1.27s/it, avr_loss=0.0847]
steps:  96%|█████████▌| 4121/4288 [1:27:10<03:31,  1.27s/it, avr_loss=0.0847]
steps:  96%|█████████▌| 4121/4288 [1:27:10<03:31,  1.27s/it, avr_loss=0.0848]
steps:  96%|█████████▌| 4122/4288 [1:27:11<03:30,  1.27s/it, avr_loss=0.0848]
steps:  96%|█████████▌| 4122/4288 [1:27:11<03:30,  1.27s/it, avr_loss=0.0847]
steps:  96%|█████████▌| 4123/4288 [1:27:12<03:29,  1.27s/it, avr_loss=0.0847]
steps:  96%|█████████▌| 4123/4288 [1:27:12<03:29,  1.27s/it, avr_loss=0.0852]
steps:  96%|█████████▌| 4124/4288 [1:27:13<03:28,  1.27s/it, avr_loss=0.0852]
steps:  96%|█████████▌| 4124/4288 [1:27:13<03:28,  1.27s/it, avr_loss=0.0854]
steps:  96%|█████████▌| 4125/4288 [1:27:15<03:26,  1.27s/it, avr_loss=0.0854]
steps:  96%|█████████▌| 4125/4288 [1:27:15<03:26,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▌| 4126/4288 [1:27:16<03:25,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▌| 4126/4288 [1:27:16<03:25,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▌| 4127/4288 [1:27:17<03:24,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▌| 4127/4288 [1:27:17<03:24,  1.27s/it, avr_loss=0.0851]
steps:  96%|█████████▋| 4128/4288 [1:27:19<03:23,  1.27s/it, avr_loss=0.0851]
steps:  96%|█████████▋| 4128/4288 [1:27:19<03:23,  1.27s/it, avr_loss=0.0851]
steps:  96%|█████████▋| 4129/4288 [1:27:20<03:21,  1.27s/it, avr_loss=0.0851]
steps:  96%|█████████▋| 4129/4288 [1:27:20<03:21,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▋| 4130/4288 [1:27:21<03:20,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▋| 4130/4288 [1:27:21<03:20,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▋| 4131/4288 [1:27:22<03:19,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▋| 4131/4288 [1:27:22<03:19,  1.27s/it, avr_loss=0.0851]
steps:  96%|█████████▋| 4132/4288 [1:27:24<03:17,  1.27s/it, avr_loss=0.0851]
steps:  96%|█████████▋| 4132/4288 [1:27:24<03:17,  1.27s/it, avr_loss=0.0854]
steps:  96%|█████████▋| 4133/4288 [1:27:25<03:16,  1.27s/it, avr_loss=0.0854]
steps:  96%|█████████▋| 4133/4288 [1:27:25<03:16,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▋| 4134/4288 [1:27:26<03:15,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▋| 4134/4288 [1:27:26<03:15,  1.27s/it, avr_loss=0.0854]
steps:  96%|█████████▋| 4135/4288 [1:27:28<03:14,  1.27s/it, avr_loss=0.0854]
steps:  96%|█████████▋| 4135/4288 [1:27:28<03:14,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▋| 4136/4288 [1:27:29<03:12,  1.27s/it, avr_loss=0.0853]
steps:  96%|█████████▋| 4136/4288 [1:27:29<03:12,  1.27s/it, avr_loss=0.0854]
steps:  96%|█████████▋| 4137/4288 [1:27:30<03:11,  1.27s/it, avr_loss=0.0854]
steps:  96%|█████████▋| 4137/4288 [1:27:30<03:11,  1.27s/it, avr_loss=0.0861]
steps:  97%|█████████▋| 4138/4288 [1:27:32<03:10,  1.27s/it, avr_loss=0.0861]
steps:  97%|█████████▋| 4138/4288 [1:27:32<03:10,  1.27s/it, avr_loss=0.0863]
steps:  97%|█████████▋| 4139/4288 [1:27:33<03:09,  1.27s/it, avr_loss=0.0863]
steps:  97%|█████████▋| 4139/4288 [1:27:33<03:09,  1.27s/it, avr_loss=0.0862]
steps:  97%|█████████▋| 4140/4288 [1:27:34<03:07,  1.27s/it, avr_loss=0.0862]
steps:  97%|█████████▋| 4140/4288 [1:27:34<03:07,  1.27s/it, avr_loss=0.0862]
steps:  97%|█████████▋| 4141/4288 [1:27:35<03:06,  1.27s/it, avr_loss=0.0862]
steps:  97%|█████████▋| 4141/4288 [1:27:35<03:06,  1.27s/it, avr_loss=0.0862]
steps:  97%|█████████▋| 4142/4288 [1:27:37<03:05,  1.27s/it, avr_loss=0.0862]
steps:  97%|█████████▋| 4142/4288 [1:27:37<03:05,  1.27s/it, avr_loss=0.086] 
steps:  97%|█████████▋| 4143/4288 [1:27:38<03:04,  1.27s/it, avr_loss=0.086]
steps:  97%|█████████▋| 4143/4288 [1:27:38<03:04,  1.27s/it, avr_loss=0.0859]
steps:  97%|█████████▋| 4144/4288 [1:27:39<03:02,  1.27s/it, avr_loss=0.0859]
steps:  97%|█████████▋| 4144/4288 [1:27:39<03:02,  1.27s/it, avr_loss=0.0857]
steps:  97%|█████████▋| 4145/4288 [1:27:40<03:01,  1.27s/it, avr_loss=0.0857]
steps:  97%|█████████▋| 4145/4288 [1:27:40<03:01,  1.27s/it, avr_loss=0.0856]
steps:  97%|█████████▋| 4146/4288 [1:27:42<03:00,  1.27s/it, avr_loss=0.0856]
steps:  97%|█████████▋| 4146/4288 [1:27:42<03:00,  1.27s/it, avr_loss=0.0853]
steps:  97%|█████████▋| 4147/4288 [1:27:43<02:58,  1.27s/it, avr_loss=0.0853]
steps:  97%|█████████▋| 4147/4288 [1:27:43<02:58,  1.27s/it, avr_loss=0.0854]
steps:  97%|█████████▋| 4148/4288 [1:27:44<02:57,  1.27s/it, avr_loss=0.0854]
steps:  97%|█████████▋| 4148/4288 [1:27:44<02:57,  1.27s/it, avr_loss=0.0854]
steps:  97%|█████████▋| 4149/4288 [1:27:45<02:56,  1.27s/it, avr_loss=0.0854]
steps:  97%|█████████▋| 4149/4288 [1:27:45<02:56,  1.27s/it, avr_loss=0.0855]
steps:  97%|█████████▋| 4150/4288 [1:27:47<02:55,  1.27s/it, avr_loss=0.0855]
steps:  97%|█████████▋| 4150/4288 [1:27:47<02:55,  1.27s/it, avr_loss=0.0855]
steps:  97%|█████████▋| 4151/4288 [1:27:48<02:53,  1.27s/it, avr_loss=0.0855]
steps:  97%|█████████▋| 4151/4288 [1:27:48<02:53,  1.27s/it, avr_loss=0.0852]
steps:  97%|█████████▋| 4152/4288 [1:27:49<02:52,  1.27s/it, avr_loss=0.0852]
steps:  97%|█████████▋| 4152/4288 [1:27:49<02:52,  1.27s/it, avr_loss=0.0848]
steps:  97%|█████████▋| 4153/4288 [1:27:50<02:51,  1.27s/it, avr_loss=0.0848]
steps:  97%|█████████▋| 4153/4288 [1:27:50<02:51,  1.27s/it, avr_loss=0.0851]
steps:  97%|█████████▋| 4154/4288 [1:27:52<02:50,  1.27s/it, avr_loss=0.0851]
steps:  97%|█████████▋| 4154/4288 [1:27:52<02:50,  1.27s/it, avr_loss=0.0853]
steps:  97%|█████████▋| 4155/4288 [1:27:53<02:48,  1.27s/it, avr_loss=0.0853]
steps:  97%|█████████▋| 4155/4288 [1:27:53<02:48,  1.27s/it, avr_loss=0.0851]
steps:  97%|█████████▋| 4156/4288 [1:27:54<02:47,  1.27s/it, avr_loss=0.0851]
steps:  97%|█████████▋| 4156/4288 [1:27:54<02:47,  1.27s/it, avr_loss=0.0849]
steps:  97%|█████████▋| 4157/4288 [1:27:56<02:46,  1.27s/it, avr_loss=0.0849]
steps:  97%|█████████▋| 4157/4288 [1:27:56<02:46,  1.27s/it, avr_loss=0.0842]
steps:  97%|█████████▋| 4158/4288 [1:27:57<02:44,  1.27s/it, avr_loss=0.0842]
steps:  97%|█████████▋| 4158/4288 [1:27:57<02:44,  1.27s/it, avr_loss=0.0843]
steps:  97%|█████████▋| 4159/4288 [1:27:58<02:43,  1.27s/it, avr_loss=0.0843]
steps:  97%|█████████▋| 4159/4288 [1:27:58<02:43,  1.27s/it, avr_loss=0.0843]
steps:  97%|█████████▋| 4160/4288 [1:27:59<02:42,  1.27s/it, avr_loss=0.0843]
steps:  97%|█████████▋| 4160/4288 [1:27:59<02:42,  1.27s/it, avr_loss=0.0841]
steps:  97%|█████████▋| 4161/4288 [1:28:01<02:41,  1.27s/it, avr_loss=0.0841]
steps:  97%|█████████▋| 4161/4288 [1:28:01<02:41,  1.27s/it, avr_loss=0.0838]
steps:  97%|█████████▋| 4162/4288 [1:28:02<02:39,  1.27s/it, avr_loss=0.0838]
steps:  97%|█████████▋| 4162/4288 [1:28:02<02:39,  1.27s/it, avr_loss=0.084] 
steps:  97%|█████████▋| 4163/4288 [1:28:03<02:38,  1.27s/it, avr_loss=0.084]
steps:  97%|█████████▋| 4163/4288 [1:28:03<02:38,  1.27s/it, avr_loss=0.0842]
steps:  97%|█████████▋| 4164/4288 [1:28:04<02:37,  1.27s/it, avr_loss=0.0842]
steps:  97%|█████████▋| 4164/4288 [1:28:04<02:37,  1.27s/it, avr_loss=0.0844]
steps:  97%|█████████▋| 4165/4288 [1:28:06<02:36,  1.27s/it, avr_loss=0.0844]
steps:  97%|█████████▋| 4165/4288 [1:28:06<02:36,  1.27s/it, avr_loss=0.0845]
steps:  97%|█████████▋| 4166/4288 [1:28:07<02:34,  1.27s/it, avr_loss=0.0845]
steps:  97%|█████████▋| 4166/4288 [1:28:07<02:34,  1.27s/it, avr_loss=0.0846]
steps:  97%|█████████▋| 4167/4288 [1:28:08<02:33,  1.27s/it, avr_loss=0.0846]
steps:  97%|█████████▋| 4167/4288 [1:28:08<02:33,  1.27s/it, avr_loss=0.0844]
steps:  97%|█████████▋| 4168/4288 [1:28:09<02:32,  1.27s/it, avr_loss=0.0844]
steps:  97%|█████████▋| 4168/4288 [1:28:09<02:32,  1.27s/it, avr_loss=0.0843]
steps:  97%|█████████▋| 4169/4288 [1:28:11<02:31,  1.27s/it, avr_loss=0.0843]
steps:  97%|█████████▋| 4169/4288 [1:28:11<02:31,  1.27s/it, avr_loss=0.0842]
steps:  97%|█████████▋| 4170/4288 [1:28:12<02:29,  1.27s/it, avr_loss=0.0842]
steps:  97%|█████████▋| 4170/4288 [1:28:12<02:29,  1.27s/it, avr_loss=0.085] 
steps:  97%|█████████▋| 4171/4288 [1:28:13<02:28,  1.27s/it, avr_loss=0.085]
steps:  97%|█████████▋| 4171/4288 [1:28:13<02:28,  1.27s/it, avr_loss=0.0851]
steps:  97%|█████████▋| 4172/4288 [1:28:14<02:27,  1.27s/it, avr_loss=0.0851]
steps:  97%|█████████▋| 4172/4288 [1:28:14<02:27,  1.27s/it, avr_loss=0.0851]
steps:  97%|█████████▋| 4173/4288 [1:28:16<02:25,  1.27s/it, avr_loss=0.0851]
steps:  97%|█████████▋| 4173/4288 [1:28:16<02:25,  1.27s/it, avr_loss=0.0854]
steps:  97%|█████████▋| 4174/4288 [1:28:17<02:24,  1.27s/it, avr_loss=0.0854]
steps:  97%|█████████▋| 4174/4288 [1:28:17<02:24,  1.27s/it, avr_loss=0.0857]
steps:  97%|█████████▋| 4175/4288 [1:28:18<02:23,  1.27s/it, avr_loss=0.0857]
steps:  97%|█████████▋| 4175/4288 [1:28:18<02:23,  1.27s/it, avr_loss=0.0858]
steps:  97%|█████████▋| 4176/4288 [1:28:20<02:22,  1.27s/it, avr_loss=0.0858]
steps:  97%|█████████▋| 4176/4288 [1:28:20<02:22,  1.27s/it, avr_loss=0.0859]
steps:  97%|█████████▋| 4177/4288 [1:28:21<02:20,  1.27s/it, avr_loss=0.0859]
steps:  97%|█████████▋| 4177/4288 [1:28:21<02:20,  1.27s/it, avr_loss=0.086] 
steps:  97%|█████████▋| 4178/4288 [1:28:22<02:19,  1.27s/it, avr_loss=0.086]
steps:  97%|█████████▋| 4178/4288 [1:28:22<02:19,  1.27s/it, avr_loss=0.0863]
steps:  97%|█████████▋| 4179/4288 [1:28:24<02:18,  1.27s/it, avr_loss=0.0863]
steps:  97%|█████████▋| 4179/4288 [1:28:24<02:18,  1.27s/it, avr_loss=0.0861]
steps:  97%|█████████▋| 4180/4288 [1:28:25<02:17,  1.27s/it, avr_loss=0.0861]
steps:  97%|█████████▋| 4180/4288 [1:28:25<02:17,  1.27s/it, avr_loss=0.0862]
steps:  98%|█████████▊| 4181/4288 [1:28:26<02:15,  1.27s/it, avr_loss=0.0862]
steps:  98%|█████████▊| 4181/4288 [1:28:26<02:15,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4182/4288 [1:28:27<02:14,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4182/4288 [1:28:27<02:14,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4183/4288 [1:28:28<02:13,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4183/4288 [1:28:28<02:13,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4184/4288 [1:28:30<02:11,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4184/4288 [1:28:30<02:11,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4185/4288 [1:28:31<02:10,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4185/4288 [1:28:31<02:10,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4186/4288 [1:28:32<02:09,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4186/4288 [1:28:32<02:09,  1.27s/it, avr_loss=0.086] 
steps:  98%|█████████▊| 4187/4288 [1:28:34<02:08,  1.27s/it, avr_loss=0.086]
steps:  98%|█████████▊| 4187/4288 [1:28:34<02:08,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4188/4288 [1:28:35<02:06,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4188/4288 [1:28:35<02:06,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4189/4288 [1:28:36<02:05,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4189/4288 [1:28:36<02:05,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4190/4288 [1:28:37<02:04,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4190/4288 [1:28:37<02:04,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4191/4288 [1:28:39<02:03,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4191/4288 [1:28:39<02:03,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4192/4288 [1:28:40<02:01,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4192/4288 [1:28:40<02:01,  1.27s/it, avr_loss=0.0862]
steps:  98%|█████████▊| 4193/4288 [1:28:41<02:00,  1.27s/it, avr_loss=0.0862]
steps:  98%|█████████▊| 4193/4288 [1:28:41<02:00,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4194/4288 [1:28:42<01:59,  1.27s/it, avr_loss=0.0858]
steps:  98%|█████████▊| 4194/4288 [1:28:42<01:59,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4195/4288 [1:28:44<01:58,  1.27s/it, avr_loss=0.0859]
steps:  98%|█████████▊| 4195/4288 [1:28:44<01:58,  1.27s/it, avr_loss=0.0861]
steps:  98%|█████████▊| 4196/4288 [1:28:45<01:56,  1.27s/it, avr_loss=0.0861]
steps:  98%|█████████▊| 4196/4288 [1:28:45<01:56,  1.27s/it, avr_loss=0.086] 
steps:  98%|█████████▊| 4197/4288 [1:28:46<01:55,  1.27s/it, avr_loss=0.086]
steps:  98%|█████████▊| 4197/4288 [1:28:46<01:55,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4198/4288 [1:28:48<01:54,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4198/4288 [1:28:48<01:54,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4199/4288 [1:28:49<01:52,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4199/4288 [1:28:49<01:52,  1.27s/it, avr_loss=0.0866]
steps:  98%|█████████▊| 4200/4288 [1:28:50<01:51,  1.27s/it, avr_loss=0.0866]
steps:  98%|█████████▊| 4200/4288 [1:28:50<01:51,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4201/4288 [1:28:51<01:50,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4201/4288 [1:28:51<01:50,  1.27s/it, avr_loss=0.0865]
steps:  98%|█████████▊| 4202/4288 [1:28:53<01:49,  1.27s/it, avr_loss=0.0865]
steps:  98%|█████████▊| 4202/4288 [1:28:53<01:49,  1.27s/it, avr_loss=0.0868]
steps:  98%|█████████▊| 4203/4288 [1:28:54<01:47,  1.27s/it, avr_loss=0.0868]
steps:  98%|█████████▊| 4203/4288 [1:28:54<01:47,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4204/4288 [1:28:55<01:46,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4204/4288 [1:28:55<01:46,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4205/4288 [1:28:57<01:45,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4205/4288 [1:28:57<01:45,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4206/4288 [1:28:58<01:44,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4206/4288 [1:28:58<01:44,  1.27s/it, avr_loss=0.0872]
steps:  98%|█████████▊| 4207/4288 [1:28:59<01:42,  1.27s/it, avr_loss=0.0872]
steps:  98%|█████████▊| 4207/4288 [1:28:59<01:42,  1.27s/it, avr_loss=0.0871]
steps:  98%|█████████▊| 4208/4288 [1:29:01<01:41,  1.27s/it, avr_loss=0.0871]
steps:  98%|█████████▊| 4208/4288 [1:29:01<01:41,  1.27s/it, avr_loss=0.087] 
steps:  98%|█████████▊| 4209/4288 [1:29:02<01:40,  1.27s/it, avr_loss=0.087]
steps:  98%|█████████▊| 4209/4288 [1:29:02<01:40,  1.27s/it, avr_loss=0.0872]
steps:  98%|█████████▊| 4210/4288 [1:29:03<01:39,  1.27s/it, avr_loss=0.0872]
steps:  98%|█████████▊| 4210/4288 [1:29:03<01:39,  1.27s/it, avr_loss=0.0872]
steps:  98%|█████████▊| 4211/4288 [1:29:04<01:37,  1.27s/it, avr_loss=0.0872]
steps:  98%|█████████▊| 4211/4288 [1:29:04<01:37,  1.27s/it, avr_loss=0.0871]
steps:  98%|█████████▊| 4212/4288 [1:29:06<01:36,  1.27s/it, avr_loss=0.0871]
steps:  98%|█████████▊| 4212/4288 [1:29:06<01:36,  1.27s/it, avr_loss=0.0871]
steps:  98%|█████████▊| 4213/4288 [1:29:07<01:35,  1.27s/it, avr_loss=0.0871]
steps:  98%|█████████▊| 4213/4288 [1:29:07<01:35,  1.27s/it, avr_loss=0.0875]
steps:  98%|█████████▊| 4214/4288 [1:29:08<01:33,  1.27s/it, avr_loss=0.0875]
steps:  98%|█████████▊| 4214/4288 [1:29:08<01:33,  1.27s/it, avr_loss=0.0868]
steps:  98%|█████████▊| 4215/4288 [1:29:09<01:32,  1.27s/it, avr_loss=0.0868]
steps:  98%|█████████▊| 4215/4288 [1:29:09<01:32,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4216/4288 [1:29:11<01:31,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4216/4288 [1:29:11<01:31,  1.27s/it, avr_loss=0.0865]
steps:  98%|█████████▊| 4217/4288 [1:29:12<01:30,  1.27s/it, avr_loss=0.0865]
steps:  98%|█████████▊| 4217/4288 [1:29:12<01:30,  1.27s/it, avr_loss=0.0865]
steps:  98%|█████████▊| 4218/4288 [1:29:13<01:28,  1.27s/it, avr_loss=0.0865]
steps:  98%|█████████▊| 4218/4288 [1:29:13<01:28,  1.27s/it, avr_loss=0.0865]
steps:  98%|█████████▊| 4219/4288 [1:29:14<01:27,  1.27s/it, avr_loss=0.0865]
steps:  98%|█████████▊| 4219/4288 [1:29:14<01:27,  1.27s/it, avr_loss=0.0865]
steps:  98%|█████████▊| 4220/4288 [1:29:16<01:26,  1.27s/it, avr_loss=0.0865]
steps:  98%|█████████▊| 4220/4288 [1:29:16<01:26,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4221/4288 [1:29:17<01:25,  1.27s/it, avr_loss=0.0867]
steps:  98%|█████████▊| 4221/4288 [1:29:17<01:25,  1.27s/it, avr_loss=0.0866]
steps:  98%|█████████▊| 4222/4288 [1:29:18<01:23,  1.27s/it, avr_loss=0.0866]
steps:  98%|█████████▊| 4222/4288 [1:29:18<01:23,  1.27s/it, avr_loss=0.0868]
steps:  98%|█████████▊| 4223/4288 [1:29:19<01:22,  1.27s/it, avr_loss=0.0868]
steps:  98%|█████████▊| 4223/4288 [1:29:19<01:22,  1.27s/it, avr_loss=0.087] 
steps:  99%|█████████▊| 4224/4288 [1:29:21<01:21,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▊| 4224/4288 [1:29:21<01:21,  1.27s/it, avr_loss=0.0871]
steps:  99%|█████████▊| 4225/4288 [1:29:22<01:19,  1.27s/it, avr_loss=0.0871]
steps:  99%|█████████▊| 4225/4288 [1:29:22<01:19,  1.27s/it, avr_loss=0.0872]
steps:  99%|█████████▊| 4226/4288 [1:29:23<01:18,  1.27s/it, avr_loss=0.0872]
steps:  99%|█████████▊| 4226/4288 [1:29:23<01:18,  1.27s/it, avr_loss=0.0871]
steps:  99%|█████████▊| 4227/4288 [1:29:24<01:17,  1.27s/it, avr_loss=0.0871]
steps:  99%|█████████▊| 4227/4288 [1:29:24<01:17,  1.27s/it, avr_loss=0.087] 
steps:  99%|█████████▊| 4228/4288 [1:29:26<01:16,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▊| 4228/4288 [1:29:26<01:16,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▊| 4229/4288 [1:29:27<01:14,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▊| 4229/4288 [1:29:27<01:14,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▊| 4230/4288 [1:29:28<01:13,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▊| 4230/4288 [1:29:28<01:13,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▊| 4231/4288 [1:29:30<01:12,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▊| 4231/4288 [1:29:30<01:12,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▊| 4232/4288 [1:29:30<01:11,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▊| 4232/4288 [1:29:30<01:11,  1.27s/it, avr_loss=0.087] 
steps:  99%|█████████▊| 4233/4288 [1:29:32<01:09,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▊| 4233/4288 [1:29:32<01:09,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▊| 4234/4288 [1:29:33<01:08,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▊| 4234/4288 [1:29:33<01:08,  1.27s/it, avr_loss=0.087] 
steps:  99%|█████████▉| 4235/4288 [1:29:34<01:07,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4235/4288 [1:29:34<01:07,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4236/4288 [1:29:35<01:05,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4236/4288 [1:29:35<01:05,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▉| 4237/4288 [1:29:37<01:04,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▉| 4237/4288 [1:29:37<01:04,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▉| 4238/4288 [1:29:38<01:03,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▉| 4238/4288 [1:29:38<01:03,  1.27s/it, avr_loss=0.0871]
steps:  99%|█████████▉| 4239/4288 [1:29:39<01:02,  1.27s/it, avr_loss=0.0871]
steps:  99%|█████████▉| 4239/4288 [1:29:39<01:02,  1.27s/it, avr_loss=0.0873]
steps:  99%|█████████▉| 4240/4288 [1:29:41<01:00,  1.27s/it, avr_loss=0.0873]
steps:  99%|█████████▉| 4240/4288 [1:29:41<01:00,  1.27s/it, avr_loss=0.0864]
steps:  99%|█████████▉| 4241/4288 [1:29:42<00:59,  1.27s/it, avr_loss=0.0864]
steps:  99%|█████████▉| 4241/4288 [1:29:42<00:59,  1.27s/it, avr_loss=0.0866]
steps:  99%|█████████▉| 4242/4288 [1:29:43<00:58,  1.27s/it, avr_loss=0.0866]
steps:  99%|█████████▉| 4242/4288 [1:29:43<00:58,  1.27s/it, avr_loss=0.0867]
steps:  99%|█████████▉| 4243/4288 [1:29:44<00:57,  1.27s/it, avr_loss=0.0867]
steps:  99%|█████████▉| 4243/4288 [1:29:44<00:57,  1.27s/it, avr_loss=0.0865]
steps:  99%|█████████▉| 4244/4288 [1:29:46<00:55,  1.27s/it, avr_loss=0.0865]
steps:  99%|█████████▉| 4244/4288 [1:29:46<00:55,  1.27s/it, avr_loss=0.0866]
steps:  99%|█████████▉| 4245/4288 [1:29:47<00:54,  1.27s/it, avr_loss=0.0866]
steps:  99%|█████████▉| 4245/4288 [1:29:47<00:54,  1.27s/it, avr_loss=0.087] 
steps:  99%|█████████▉| 4246/4288 [1:29:48<00:53,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4246/4288 [1:29:48<00:53,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▉| 4247/4288 [1:29:49<00:52,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▉| 4247/4288 [1:29:49<00:52,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4248/4288 [1:29:51<00:50,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4248/4288 [1:29:51<00:50,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4249/4288 [1:29:52<00:49,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4249/4288 [1:29:52<00:49,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4250/4288 [1:29:53<00:48,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4250/4288 [1:29:53<00:48,  1.27s/it, avr_loss=0.0864]
steps:  99%|█████████▉| 4251/4288 [1:29:54<00:46,  1.27s/it, avr_loss=0.0864]
steps:  99%|█████████▉| 4251/4288 [1:29:54<00:46,  1.27s/it, avr_loss=0.0861]
steps:  99%|█████████▉| 4252/4288 [1:29:56<00:45,  1.27s/it, avr_loss=0.0861]
steps:  99%|█████████▉| 4252/4288 [1:29:56<00:45,  1.27s/it, avr_loss=0.086] 
steps:  99%|█████████▉| 4253/4288 [1:29:57<00:44,  1.27s/it, avr_loss=0.086]
steps:  99%|█████████▉| 4253/4288 [1:29:57<00:44,  1.27s/it, avr_loss=0.0859]
steps:  99%|█████████▉| 4254/4288 [1:29:58<00:43,  1.27s/it, avr_loss=0.0859]
steps:  99%|█████████▉| 4254/4288 [1:29:58<00:43,  1.27s/it, avr_loss=0.0861]
steps:  99%|█████████▉| 4255/4288 [1:30:00<00:41,  1.27s/it, avr_loss=0.0861]
steps:  99%|█████████▉| 4255/4288 [1:30:00<00:41,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4256/4288 [1:30:01<00:40,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4256/4288 [1:30:01<00:40,  1.27s/it, avr_loss=0.0867]
steps:  99%|█████████▉| 4257/4288 [1:30:02<00:39,  1.27s/it, avr_loss=0.0867]
steps:  99%|█████████▉| 4257/4288 [1:30:02<00:39,  1.27s/it, avr_loss=0.087] 
steps:  99%|█████████▉| 4258/4288 [1:30:03<00:38,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4258/4288 [1:30:03<00:38,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4259/4288 [1:30:05<00:36,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4259/4288 [1:30:05<00:36,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4260/4288 [1:30:06<00:35,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4260/4288 [1:30:06<00:35,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4261/4288 [1:30:07<00:34,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4261/4288 [1:30:07<00:34,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4262/4288 [1:30:08<00:32,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4262/4288 [1:30:08<00:32,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4263/4288 [1:30:10<00:31,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4263/4288 [1:30:10<00:31,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4264/4288 [1:30:11<00:30,  1.27s/it, avr_loss=0.0868]
steps:  99%|█████████▉| 4264/4288 [1:30:11<00:30,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▉| 4265/4288 [1:30:12<00:29,  1.27s/it, avr_loss=0.0869]
steps:  99%|█████████▉| 4265/4288 [1:30:12<00:29,  1.27s/it, avr_loss=0.087] 
steps:  99%|█████████▉| 4266/4288 [1:30:13<00:27,  1.27s/it, avr_loss=0.087]
steps:  99%|█████████▉| 4266/4288 [1:30:13<00:27,  1.27s/it, avr_loss=0.087]
steps: 100%|█████████▉| 4267/4288 [1:30:15<00:26,  1.27s/it, avr_loss=0.087]
steps: 100%|█████████▉| 4267/4288 [1:30:15<00:26,  1.27s/it, avr_loss=0.0868]
steps: 100%|█████████▉| 4268/4288 [1:30:16<00:25,  1.27s/it, avr_loss=0.0868]
steps: 100%|█████████▉| 4268/4288 [1:30:16<00:25,  1.27s/it, avr_loss=0.0868]
steps: 100%|█████████▉| 4269/4288 [1:30:17<00:24,  1.27s/it, avr_loss=0.0868]
steps: 100%|█████████▉| 4269/4288 [1:30:17<00:24,  1.27s/it, avr_loss=0.0868]
steps: 100%|█████████▉| 4270/4288 [1:30:19<00:22,  1.27s/it, avr_loss=0.0868]
steps: 100%|█████████▉| 4270/4288 [1:30:19<00:22,  1.27s/it, avr_loss=0.0868]
steps: 100%|█████████▉| 4271/4288 [1:30:20<00:21,  1.27s/it, avr_loss=0.0868]
steps: 100%|█████████▉| 4271/4288 [1:30:20<00:21,  1.27s/it, avr_loss=0.0865]
steps: 100%|█████████▉| 4272/4288 [1:30:21<00:20,  1.27s/it, avr_loss=0.0865]
steps: 100%|█████████▉| 4272/4288 [1:30:21<00:20,  1.27s/it, avr_loss=0.0868]
steps: 100%|█████████▉| 4273/4288 [1:30:22<00:19,  1.27s/it, avr_loss=0.0868]
steps: 100%|█████████▉| 4273/4288 [1:30:22<00:19,  1.27s/it, avr_loss=0.0866]
steps: 100%|█████████▉| 4274/4288 [1:30:24<00:17,  1.27s/it, avr_loss=0.0866]
steps: 100%|█████████▉| 4274/4288 [1:30:24<00:17,  1.27s/it, avr_loss=0.0866]
steps: 100%|█████████▉| 4275/4288 [1:30:25<00:16,  1.27s/it, avr_loss=0.0866]
steps: 100%|█████████▉| 4275/4288 [1:30:25<00:16,  1.27s/it, avr_loss=0.0865]
steps: 100%|█████████▉| 4276/4288 [1:30:26<00:15,  1.27s/it, avr_loss=0.0865]
steps: 100%|█████████▉| 4276/4288 [1:30:26<00:15,  1.27s/it, avr_loss=0.0866]
steps: 100%|█████████▉| 4277/4288 [1:30:27<00:13,  1.27s/it, avr_loss=0.0866]
steps: 100%|█████████▉| 4277/4288 [1:30:27<00:13,  1.27s/it, avr_loss=0.0865]
steps: 100%|█████████▉| 4278/4288 [1:30:29<00:12,  1.27s/it, avr_loss=0.0865]
steps: 100%|█████████▉| 4278/4288 [1:30:29<00:12,  1.27s/it, avr_loss=0.0864]
steps: 100%|█████████▉| 4279/4288 [1:30:30<00:11,  1.27s/it, avr_loss=0.0864]
steps: 100%|█████████▉| 4279/4288 [1:30:30<00:11,  1.27s/it, avr_loss=0.0862]
steps: 100%|█████████▉| 4280/4288 [1:30:31<00:10,  1.27s/it, avr_loss=0.0862]
steps: 100%|█████████▉| 4280/4288 [1:30:31<00:10,  1.27s/it, avr_loss=0.086] 
steps: 100%|█████████▉| 4281/4288 [1:30:33<00:08,  1.27s/it, avr_loss=0.086]
steps: 100%|█████████▉| 4281/4288 [1:30:33<00:08,  1.27s/it, avr_loss=0.0858]
steps: 100%|█████████▉| 4282/4288 [1:30:34<00:07,  1.27s/it, avr_loss=0.0858]
steps: 100%|█████████▉| 4282/4288 [1:30:34<00:07,  1.27s/it, avr_loss=0.0859]
steps: 100%|█████████▉| 4283/4288 [1:30:35<00:06,  1.27s/it, avr_loss=0.0859]
steps: 100%|█████████▉| 4283/4288 [1:30:35<00:06,  1.27s/it, avr_loss=0.086] 
steps: 100%|█████████▉| 4284/4288 [1:30:36<00:05,  1.27s/it, avr_loss=0.086]
steps: 100%|█████████▉| 4284/4288 [1:30:36<00:05,  1.27s/it, avr_loss=0.0859]
steps: 100%|█████████▉| 4285/4288 [1:30:38<00:03,  1.27s/it, avr_loss=0.0859]
steps: 100%|█████████▉| 4285/4288 [1:30:38<00:03,  1.27s/it, avr_loss=0.086] 
steps: 100%|█████████▉| 4286/4288 [1:30:39<00:02,  1.27s/it, avr_loss=0.086]
steps: 100%|█████████▉| 4286/4288 [1:30:39<00:02,  1.27s/it, avr_loss=0.0857]
steps: 100%|█████████▉| 4287/4288 [1:30:40<00:01,  1.27s/it, avr_loss=0.0857]
steps: 100%|█████████▉| 4287/4288 [1:30:40<00:01,  1.27s/it, avr_loss=0.0857]
steps: 100%|██████████| 4288/4288 [1:30:42<00:00,  1.27s/it, avr_loss=0.0857]
steps: 100%|██████████| 4288/4288 [1:30:42<00:00,  1.27s/it, avr_loss=0.0864]2026-07-24 15:06:28 INFO     model saved.                  train_network.py:1863

steps: 100%|██████████| 4288/4288 [1:30:42<00:00,  1.27s/it, avr_loss=0.0864]

epoch 2/16


saving checkpoint: /workspace/output/anima-renderstyle-v1-000002.safetensors

epoch 3/16


epoch 4/16


saving checkpoint: /workspace/output/anima-renderstyle-v1-000004.safetensors

epoch 5/16


epoch 6/16


saving checkpoint: /workspace/output/anima-renderstyle-v1-000006.safetensors

epoch 7/16


epoch 8/16


saving checkpoint: /workspace/output/anima-renderstyle-v1-000008.safetensors

epoch 9/16


epoch 10/16


saving checkpoint: /workspace/output/anima-renderstyle-v1-000010.safetensors

epoch 11/16


epoch 12/16


saving checkpoint: /workspace/output/anima-renderstyle-v1-000012.safetensors

epoch 13/16


epoch 14/16


saving checkpoint: /workspace/output/anima-renderstyle-v1-000014.safetensors

epoch 15/16


epoch 16/16


saving checkpoint: /workspace/output/anima-renderstyle-v1.safetensors