[Featurizer] - Take a list of 13 features and weighted sum them.
[Featurizer] - The selected feature hidden_states's downsample rate is 320
[Runner] - Start a new experiment
m-a-p/MERT-v1-95M {'model_config': None, 'refresh': False}

overall:   0%|          | 0/4000 [00:00<?, ?it/s]

train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   0%|          | 1/4000 [00:02<2:59:12,  2.69s/it]

train:   3%|▎         | 1/37 [00:02<01:36,  2.68s/it]
overall:   0%|          | 2/4000 [00:04<2:12:19,  1.99s/it]

train:   5%|▌         | 2/37 [00:04<01:09,  1.98s/it]
overall:   0%|          | 3/4000 [00:05<1:57:35,  1.77s/it]

train:   8%|▊         | 3/37 [00:05<00:59,  1.76s/it]
overall:   0%|          | 4/4000 [00:07<1:50:56,  1.67s/it]

train:  11%|█         | 4/37 [00:07<00:54,  1.66s/it]
overall:   0%|          | 5/4000 [00:08<1:46:55,  1.61s/it]

train:  14%|█▎        | 5/37 [00:08<00:51,  1.61s/it]
overall:   0%|          | 6/4000 [00:10<1:44:19,  1.57s/it]

train:  16%|█▌        | 6/37 [00:10<00:48,  1.57s/it]
overall:   0%|          | 7/4000 [00:11<1:42:23,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:   0%|          | 8/4000 [00:13<1:41:21,  1.52s/it]

train:  22%|██▏       | 8/37 [00:13<00:44,  1.52s/it]
overall:   0%|          | 9/4000 [00:14<1:40:49,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:   0%|          | 10/4000 [00:16<1:40:58,  1.52s/it]

train:  27%|██▋       | 10/37 [00:16<00:40,  1.52s/it]
overall:   0%|          | 11/4000 [00:17<1:40:34,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:   0%|          | 12/4000 [00:19<1:40:21,  1.51s/it]

train:  32%|███▏      | 12/37 [00:19<00:37,  1.51s/it]
overall:   0%|          | 13/4000 [00:20<1:40:12,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:   0%|          | 14/4000 [00:22<1:40:00,  1.51s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.51s/it]
overall:   0%|          | 15/4000 [00:23<1:39:45,  1.50s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.50s/it]
overall:   0%|          | 16/4000 [00:25<1:39:55,  1.50s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.50s/it]
overall:   0%|          | 17/4000 [00:26<1:39:31,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.50s/it]
overall:   0%|          | 18/4000 [00:28<1:39:42,  1.50s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.50s/it]
overall:   0%|          | 19/4000 [00:29<1:39:36,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:   0%|          | 20/4000 [00:31<1:39:42,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.50s/it]
overall:   1%|          | 21/4000 [00:32<1:39:32,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:   1%|          | 22/4000 [00:34<1:39:16,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:   1%|          | 23/4000 [00:35<1:39:02,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:   1%|          | 24/4000 [00:37<1:39:18,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:   1%|          | 25/4000 [00:38<1:39:30,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:   1%|          | 26/4000 [00:40<1:39:17,  1.50s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.50s/it]
overall:   1%|          | 27/4000 [00:41<1:39:04,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:14,  1.50s/it]
overall:   1%|          | 28/4000 [00:43<1:39:27,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.50s/it]
overall:   1%|          | 29/4000 [00:44<1:39:22,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:   1%|          | 30/4000 [00:46<1:39:11,  1.50s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.50s/it]
overall:   1%|          | 31/4000 [00:47<1:39:17,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:   1%|          | 32/4000 [00:49<1:38:58,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:   1%|          | 33/4000 [00:50<1:38:51,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.50s/it]
overall:   1%|          | 34/4000 [00:52<1:39:02,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:   1%|          | 35/4000 [00:53<1:39:44,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:   1%|          | 36/4000 [00:55<1:39:26,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:   1%|          | 37/4000 [00:56<1:35:46,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 2.7511305809020996
train acc: 0.15399999916553497
train loss: 2.517718553543091
train acc: 0.19900000095367432
train loss: 2.4566516876220703
train acc: 0.2460000067949295


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   1%|          | 38/4000 [00:58<1:52:17,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:17,  2.15s/it]
overall:   1%|          | 39/4000 [01:00<1:48:14,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.77s/it]
overall:   1%|          | 40/4000 [01:01<1:45:48,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:   1%|          | 41/4000 [01:03<1:43:42,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:   1%|          | 42/4000 [01:04<1:42:16,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:   1%|          | 43/4000 [01:06<1:41:14,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:   1%|          | 44/4000 [01:07<1:40:34,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:   1%|          | 45/4000 [01:09<1:39:59,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:   1%|          | 46/4000 [01:10<1:39:42,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.51s/it]
overall:   1%|          | 47/4000 [01:12<1:39:34,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:   1%|          | 48/4000 [01:13<1:39:30,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:   1%|          | 49/4000 [01:15<1:39:20,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:   1%|▏         | 50/4000 [01:16<1:39:06,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:   1%|▏         | 51/4000 [01:18<1:38:55,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:   1%|▏         | 52/4000 [01:19<1:40:02,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:   1%|▏         | 53/4000 [01:21<1:39:52,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:   1%|▏         | 54/4000 [01:22<1:39:54,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:   1%|▏         | 55/4000 [01:24<1:39:48,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:   1%|▏         | 56/4000 [01:25<1:39:31,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:   1%|▏         | 57/4000 [01:27<1:39:13,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:   1%|▏         | 58/4000 [01:28<1:39:01,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:   1%|▏         | 59/4000 [01:30<1:39:09,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:   2%|▏         | 60/4000 [01:31<1:39:26,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:   2%|▏         | 61/4000 [01:33<1:39:13,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:   2%|▏         | 62/4000 [01:35<1:39:12,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:   2%|▏         | 63/4000 [01:36<1:39:00,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:   2%|▏         | 64/4000 [01:38<1:39:20,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:   2%|▏         | 65/4000 [01:39<1:39:09,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:   2%|▏         | 66/4000 [01:41<1:39:03,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:   2%|▏         | 67/4000 [01:42<1:39:00,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:   2%|▏         | 68/4000 [01:44<1:38:50,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:   2%|▏         | 69/4000 [01:45<1:38:54,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:   2%|▏         | 70/4000 [01:47<1:39:17,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:   2%|▏         | 71/4000 [01:48<1:39:13,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.52s/it]
overall:   2%|▏         | 72/4000 [01:50<1:39:04,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:   2%|▏         | 73/4000 [01:51<1:38:55,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.51s/it]
overall:   2%|▏         | 74/4000 [01:52<1:34:59,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 2.389143943786621
train acc: 0.29352226853370667
train loss: 2.2628417015075684
train acc: 0.3619999885559082
train loss: 2.2384839057922363
train acc: 0.3440000116825104
train loss: 2.1747887134552
train acc: 0.36399999260902405


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   2%|▏         | 75/4000 [01:55<1:51:49,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:   2%|▏         | 76/4000 [01:56<1:48:09,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:   2%|▏         | 77/4000 [01:58<1:45:02,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:   2%|▏         | 78/4000 [01:59<1:43:01,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:   2%|▏         | 79/4000 [02:01<1:41:29,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:   2%|▏         | 80/4000 [02:02<1:40:19,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:   2%|▏         | 81/4000 [02:04<1:39:33,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:   2%|▏         | 82/4000 [02:05<1:39:12,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:   2%|▏         | 83/4000 [02:07<1:38:50,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.51s/it]
overall:   2%|▏         | 84/4000 [02:08<1:38:45,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:   2%|▏         | 85/4000 [02:10<1:38:26,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:   2%|▏         | 86/4000 [02:11<1:38:38,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:   2%|▏         | 87/4000 [02:13<1:38:40,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:   2%|▏         | 88/4000 [02:14<1:38:41,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:   2%|▏         | 89/4000 [02:16<1:38:22,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:   2%|▏         | 90/4000 [02:17<1:38:07,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:   2%|▏         | 91/4000 [02:19<1:37:51,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:   2%|▏         | 92/4000 [02:20<1:38:00,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:   2%|▏         | 93/4000 [02:22<1:37:56,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:   2%|▏         | 94/4000 [02:23<1:37:51,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:   2%|▏         | 95/4000 [02:25<1:37:46,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:   2%|▏         | 96/4000 [02:26<1:37:42,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:   2%|▏         | 97/4000 [02:28<1:37:42,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:   2%|▏         | 98/4000 [02:29<1:37:42,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:   2%|▏         | 99/4000 [02:31<1:37:54,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:   2%|▎         | 100/4000 [02:32<1:38:17,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:   3%|▎         | 101/4000 [02:34<1:38:13,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:   3%|▎         | 102/4000 [02:35<1:38:13,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:   3%|▎         | 103/4000 [02:37<1:38:09,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:   3%|▎         | 104/4000 [02:38<1:38:11,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:   3%|▎         | 105/4000 [02:40<1:37:57,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:   3%|▎         | 106/4000 [02:41<1:37:44,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:   3%|▎         | 107/4000 [02:43<1:37:39,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:   3%|▎         | 108/4000 [02:44<1:37:27,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:   3%|▎         | 109/4000 [02:46<1:37:27,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:   3%|▎         | 110/4000 [02:47<1:37:21,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:   3%|▎         | 111/4000 [02:49<1:33:40,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 2.1208150386810303
train acc: 0.38562753796577454
train loss: 2.052558422088623
train acc: 0.40400001406669617
train loss: 2.004258632659912
train acc: 0.3930000066757202
train loss: 1.9508159160614014
train acc: 0.4300000071525574


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   3%|▎         | 112/4000 [02:51<1:50:20,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:   3%|▎         | 113/4000 [02:53<1:46:20,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:   3%|▎         | 114/4000 [02:54<1:43:57,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:   3%|▎         | 115/4000 [02:56<1:42:12,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:   3%|▎         | 116/4000 [02:57<1:40:42,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:   3%|▎         | 117/4000 [02:59<1:39:53,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:   3%|▎         | 118/4000 [03:00<1:39:24,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:   3%|▎         | 119/4000 [03:02<1:39:08,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:   3%|▎         | 120/4000 [03:03<1:39:38,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:   3%|▎         | 121/4000 [03:05<1:39:06,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:   3%|▎         | 122/4000 [03:06<1:38:28,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:   3%|▎         | 123/4000 [03:08<1:38:06,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:   3%|▎         | 124/4000 [03:09<1:37:54,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:   3%|▎         | 125/4000 [03:11<1:37:34,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:   3%|▎         | 126/4000 [03:12<1:37:24,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:   3%|▎         | 127/4000 [03:14<1:37:26,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:   3%|▎         | 128/4000 [03:15<1:37:07,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:   3%|▎         | 129/4000 [03:17<1:36:52,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:   3%|▎         | 130/4000 [03:18<1:36:51,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:   3%|▎         | 131/4000 [03:20<1:36:58,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:   3%|▎         | 132/4000 [03:21<1:37:00,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:   3%|▎         | 133/4000 [03:23<1:37:07,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:   3%|▎         | 134/4000 [03:24<1:37:05,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:   3%|▎         | 135/4000 [03:26<1:36:59,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:   3%|▎         | 136/4000 [03:27<1:37:27,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:   3%|▎         | 137/4000 [03:29<1:37:41,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:   3%|▎         | 138/4000 [03:30<1:37:57,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:   3%|▎         | 139/4000 [03:32<1:37:43,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:   4%|▎         | 140/4000 [03:33<1:37:36,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:   4%|▎         | 141/4000 [03:35<1:37:36,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:   4%|▎         | 142/4000 [03:36<1:37:40,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:   4%|▎         | 143/4000 [03:38<1:37:29,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:   4%|▎         | 144/4000 [03:39<1:37:20,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:   4%|▎         | 145/4000 [03:41<1:37:06,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:   4%|▎         | 146/4000 [03:42<1:37:02,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:   4%|▎         | 147/4000 [03:44<1:36:51,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:   4%|▎         | 148/4000 [03:45<1:33:41,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.959308385848999
train acc: 0.43421053886413574
train loss: 1.9051462411880493
train acc: 0.42100000381469727
train loss: 1.8345191478729248
train acc: 0.45500001311302185


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   4%|▎         | 149/4000 [03:48<1:50:50,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:   4%|▍         | 150/4000 [03:49<1:46:30,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:   4%|▍         | 151/4000 [03:51<1:43:32,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:   4%|▍         | 152/4000 [03:52<1:41:26,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.61s/it]
overall:   4%|▍         | 153/4000 [03:54<1:39:53,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:   4%|▍         | 154/4000 [03:55<1:39:12,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:   4%|▍         | 155/4000 [03:57<1:38:35,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:   4%|▍         | 156/4000 [03:58<1:38:35,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:   4%|▍         | 157/4000 [04:00<1:38:11,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:   4%|▍         | 158/4000 [04:01<1:37:54,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:   4%|▍         | 159/4000 [04:03<1:37:37,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:   4%|▍         | 160/4000 [04:04<1:37:34,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.53s/it]
overall:   4%|▍         | 161/4000 [04:06<1:38:08,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:   4%|▍         | 162/4000 [04:07<1:37:29,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:   4%|▍         | 163/4000 [04:09<1:37:17,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:   4%|▍         | 164/4000 [04:10<1:36:55,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:   4%|▍         | 165/4000 [04:12<1:37:02,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:   4%|▍         | 166/4000 [04:13<1:36:56,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:   4%|▍         | 167/4000 [04:15<1:36:57,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:   4%|▍         | 168/4000 [04:17<1:36:55,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:   4%|▍         | 169/4000 [04:18<1:36:53,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:   4%|▍         | 170/4000 [04:20<1:36:46,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:   4%|▍         | 171/4000 [04:21<1:36:44,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:   4%|▍         | 172/4000 [04:23<1:36:42,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:   4%|▍         | 173/4000 [04:24<1:37:14,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:   4%|▍         | 174/4000 [04:26<1:37:01,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:   4%|▍         | 175/4000 [04:27<1:36:45,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:   4%|▍         | 176/4000 [04:29<1:36:34,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:   4%|▍         | 177/4000 [04:30<1:36:36,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:   4%|▍         | 178/4000 [04:32<1:36:20,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:   4%|▍         | 179/4000 [04:33<1:36:13,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:   4%|▍         | 180/4000 [04:35<1:36:12,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:   5%|▍         | 181/4000 [04:36<1:36:09,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:   5%|▍         | 182/4000 [04:38<1:36:08,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:   5%|▍         | 183/4000 [04:39<1:35:54,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:   5%|▍         | 184/4000 [04:41<1:35:56,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:   5%|▍         | 185/4000 [04:42<1:32:15,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.8353862762451172
train acc: 0.4291498064994812
train loss: 1.7747371196746826
train acc: 0.4699999988079071
train loss: 1.7937662601470947
train acc: 0.4399999976158142
train loss: 1.7570617198944092
train acc: 0.4440000057220459


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   5%|▍         | 186/4000 [04:44<1:51:12,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:   5%|▍         | 187/4000 [04:46<1:46:50,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.86s/it]
overall:   5%|▍         | 188/4000 [04:48<1:43:42,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:   5%|▍         | 189/4000 [04:49<1:41:30,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:   5%|▍         | 190/4000 [04:51<1:40:02,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:   5%|▍         | 191/4000 [04:52<1:38:50,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:   5%|▍         | 192/4000 [04:54<1:38:25,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.56s/it]
overall:   5%|▍         | 193/4000 [04:55<1:37:35,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:   5%|▍         | 194/4000 [04:57<1:37:29,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:   5%|▍         | 195/4000 [04:58<1:36:53,  1.53s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.53s/it]
overall:   5%|▍         | 196/4000 [05:00<1:36:18,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:   5%|▍         | 197/4000 [05:01<1:36:08,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:37,  1.52s/it]
overall:   5%|▍         | 198/4000 [05:03<1:36:13,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:   5%|▍         | 199/4000 [05:04<1:36:17,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:   5%|▌         | 200/4000 [05:06<1:35:52,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:   5%|▌         | 201/4000 [05:07<1:35:39,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:   5%|▌         | 202/4000 [05:09<1:35:38,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:   5%|▌         | 203/4000 [05:10<1:35:29,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:   5%|▌         | 204/4000 [05:12<1:35:34,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:   5%|▌         | 205/4000 [05:13<1:35:46,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:   5%|▌         | 206/4000 [05:15<1:36:03,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:   5%|▌         | 207/4000 [05:16<1:35:52,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:   5%|▌         | 208/4000 [05:18<1:35:41,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:   5%|▌         | 209/4000 [05:19<1:35:35,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:   5%|▌         | 210/4000 [05:21<1:35:41,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:   5%|▌         | 211/4000 [05:22<1:35:59,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:   5%|▌         | 212/4000 [05:24<1:35:39,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:   5%|▌         | 213/4000 [05:25<1:35:39,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:   5%|▌         | 214/4000 [05:27<1:35:22,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:   5%|▌         | 215/4000 [05:28<1:35:08,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:   5%|▌         | 216/4000 [05:30<1:34:57,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:   5%|▌         | 217/4000 [05:31<1:34:55,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:   5%|▌         | 218/4000 [05:33<1:35:15,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:   5%|▌         | 219/4000 [05:34<1:35:07,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:   6%|▌         | 220/4000 [05:36<1:34:59,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:   6%|▌         | 221/4000 [05:37<1:34:52,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:   6%|▌         | 222/4000 [05:39<1:31:41,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.714890718460083
train acc: 0.4676113426685333
train loss: 1.6875520944595337
train acc: 0.4830000102519989
train loss: 1.6649658679962158
train acc: 0.48100000619888306
train loss: 1.683462142944336
train acc: 0.4749999940395355


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   6%|▌         | 223/4000 [05:41<1:49:54,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.31s/it]
overall:   6%|▌         | 224/4000 [05:43<1:45:45,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:   6%|▌         | 225/4000 [05:44<1:42:22,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:   6%|▌         | 226/4000 [05:46<1:40:03,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:   6%|▌         | 227/4000 [05:47<1:38:32,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:   6%|▌         | 228/4000 [05:49<1:37:55,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:   6%|▌         | 229/4000 [05:50<1:36:57,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:   6%|▌         | 230/4000 [05:52<1:36:36,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:   6%|▌         | 231/4000 [05:53<1:36:07,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:   6%|▌         | 232/4000 [05:55<1:35:46,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:   6%|▌         | 233/4000 [05:56<1:35:21,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:   6%|▌         | 234/4000 [05:58<1:35:02,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:   6%|▌         | 235/4000 [05:59<1:35:03,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:   6%|▌         | 236/4000 [06:01<1:34:56,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:   6%|▌         | 237/4000 [06:02<1:34:51,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:   6%|▌         | 238/4000 [06:04<1:34:36,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:   6%|▌         | 239/4000 [06:05<1:35:04,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:   6%|▌         | 240/4000 [06:07<1:35:08,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:   6%|▌         | 241/4000 [06:08<1:34:50,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:   6%|▌         | 242/4000 [06:10<1:34:56,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:   6%|▌         | 243/4000 [06:12<1:34:53,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:   6%|▌         | 244/4000 [06:13<1:34:55,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:   6%|▌         | 245/4000 [06:15<1:34:40,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:   6%|▌         | 246/4000 [06:16<1:34:40,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:   6%|▌         | 247/4000 [06:18<1:34:50,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:   6%|▌         | 248/4000 [06:19<1:34:44,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:   6%|▌         | 249/4000 [06:21<1:34:31,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:   6%|▋         | 250/4000 [06:22<1:34:28,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:   6%|▋         | 251/4000 [06:24<1:34:22,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:   6%|▋         | 252/4000 [06:25<1:34:35,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:   6%|▋         | 253/4000 [06:27<1:34:16,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:   6%|▋         | 254/4000 [06:28<1:34:11,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:   6%|▋         | 255/4000 [06:30<1:34:13,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:   6%|▋         | 256/4000 [06:31<1:34:21,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:   6%|▋         | 257/4000 [06:33<1:34:36,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:   6%|▋         | 258/4000 [06:34<1:34:31,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:   6%|▋         | 259/4000 [06:36<1:31:14,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.6307802200317383
train acc: 0.48886638879776
train loss: 1.605651617050171
train acc: 0.48399999737739563
train loss: 1.5965418815612793
train acc: 0.49900001287460327


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   6%|▋         | 260/4000 [06:38<1:49:46,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:   7%|▋         | 261/4000 [06:40<1:44:51,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:   7%|▋         | 262/4000 [06:41<1:41:48,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:   7%|▋         | 263/4000 [06:43<1:39:30,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:   7%|▋         | 264/4000 [06:44<1:38:05,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:   7%|▋         | 265/4000 [06:46<1:36:41,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:   7%|▋         | 266/4000 [06:47<1:35:43,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:   7%|▋         | 267/4000 [06:49<1:35:18,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:   7%|▋         | 268/4000 [06:50<1:34:56,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:   7%|▋         | 269/4000 [06:52<1:34:44,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:   7%|▋         | 270/4000 [06:53<1:34:25,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:   7%|▋         | 271/4000 [06:55<1:34:12,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:   7%|▋         | 272/4000 [06:56<1:34:32,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:   7%|▋         | 273/4000 [06:58<1:34:46,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:   7%|▋         | 274/4000 [06:59<1:34:36,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:   7%|▋         | 275/4000 [07:01<1:34:10,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:   7%|▋         | 276/4000 [07:02<1:33:51,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:   7%|▋         | 277/4000 [07:04<1:33:51,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:   7%|▋         | 278/4000 [07:05<1:33:41,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:   7%|▋         | 279/4000 [07:07<1:33:52,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:   7%|▋         | 280/4000 [07:08<1:33:44,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:   7%|▋         | 281/4000 [07:10<1:33:32,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:   7%|▋         | 282/4000 [07:11<1:33:24,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:   7%|▋         | 283/4000 [07:13<1:35:55,  1.55s/it]

train:  65%|██████▍   | 24/37 [00:37<00:20,  1.55s/it]
overall:   7%|▋         | 284/4000 [07:14<1:35:41,  1.55s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.55s/it]
overall:   7%|▋         | 285/4000 [07:16<1:35:08,  1.54s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.54s/it]
overall:   7%|▋         | 286/4000 [07:17<1:34:26,  1.53s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.53s/it]
overall:   7%|▋         | 287/4000 [07:19<1:33:59,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:   7%|▋         | 288/4000 [07:20<1:33:51,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:   7%|▋         | 289/4000 [07:22<1:33:33,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:   7%|▋         | 290/4000 [07:24<1:33:48,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:   7%|▋         | 291/4000 [07:25<1:33:57,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:   7%|▋         | 292/4000 [07:27<1:33:58,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:   7%|▋         | 293/4000 [07:28<1:34:22,  1.53s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.53s/it]
overall:   7%|▋         | 294/4000 [07:30<1:34:46,  1.53s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.53s/it]
overall:   7%|▋         | 295/4000 [07:31<1:34:32,  1.53s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.53s/it]
overall:   7%|▋         | 296/4000 [07:33<1:30:57,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.5752058029174805
train acc: 0.4908906817436218
train loss: 1.5582473278045654
train acc: 0.5070000290870667
train loss: 1.5656778812408447
train acc: 0.49000000953674316
train loss: 1.5231636762619019
train acc: 0.5059999823570251


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   7%|▋         | 297/4000 [07:35<1:45:54,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:17,  2.17s/it]
overall:   7%|▋         | 298/4000 [07:36<1:42:12,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:   7%|▋         | 299/4000 [07:38<1:39:39,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:   8%|▊         | 300/4000 [07:39<1:37:43,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:   8%|▊         | 301/4000 [07:41<1:36:18,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:   8%|▊         | 302/4000 [07:42<1:35:06,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:   8%|▊         | 303/4000 [07:44<1:34:17,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:   8%|▊         | 304/4000 [07:45<1:33:46,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:   8%|▊         | 305/4000 [07:47<1:33:34,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:   8%|▊         | 306/4000 [07:48<1:33:12,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:   8%|▊         | 307/4000 [07:50<1:33:15,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:   8%|▊         | 308/4000 [07:51<1:33:17,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:   8%|▊         | 309/4000 [07:53<1:33:19,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:   8%|▊         | 310/4000 [07:54<1:33:26,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:   8%|▊         | 311/4000 [07:56<1:33:13,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:   8%|▊         | 312/4000 [07:57<1:33:02,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:   8%|▊         | 313/4000 [07:59<1:32:48,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:   8%|▊         | 314/4000 [08:00<1:32:54,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:   8%|▊         | 315/4000 [08:02<1:32:48,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:   8%|▊         | 316/4000 [08:04<1:32:43,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:   8%|▊         | 317/4000 [08:05<1:32:33,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:   8%|▊         | 318/4000 [08:07<1:32:22,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:   8%|▊         | 319/4000 [08:08<1:32:24,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:   8%|▊         | 320/4000 [08:10<1:32:29,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:   8%|▊         | 321/4000 [08:11<1:32:39,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:   8%|▊         | 322/4000 [08:13<1:32:51,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:   8%|▊         | 323/4000 [08:14<1:32:39,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:   8%|▊         | 324/4000 [08:16<1:33:00,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.52s/it]
overall:   8%|▊         | 325/4000 [08:17<1:32:51,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:   8%|▊         | 326/4000 [08:19<1:32:44,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:   8%|▊         | 327/4000 [08:20<1:32:43,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:   8%|▊         | 328/4000 [08:22<1:32:49,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:   8%|▊         | 329/4000 [08:23<1:32:39,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:   8%|▊         | 330/4000 [08:25<1:32:50,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:   8%|▊         | 331/4000 [08:26<1:33:12,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:   8%|▊         | 332/4000 [08:28<1:32:49,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:   8%|▊         | 333/4000 [08:29<1:29:24,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.5062522888183594
train acc: 0.5364372730255127
train loss: 1.4837509393692017
train acc: 0.5210000276565552
train loss: 1.4823957681655884
train acc: 0.5120000243186951
train loss: 1.5130839347839355
train acc: 0.5210000276565552


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   8%|▊         | 334/4000 [08:31<1:44:46,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:   8%|▊         | 335/4000 [08:33<1:41:06,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:   8%|▊         | 336/4000 [08:34<1:38:40,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:   8%|▊         | 337/4000 [08:36<1:36:51,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:   8%|▊         | 338/4000 [08:37<1:35:16,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:   8%|▊         | 339/4000 [08:39<1:34:24,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:   8%|▊         | 340/4000 [08:40<1:33:52,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:   9%|▊         | 341/4000 [08:42<1:33:32,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:   9%|▊         | 342/4000 [08:44<1:33:14,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:   9%|▊         | 343/4000 [08:45<1:33:02,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:   9%|▊         | 344/4000 [08:47<1:32:37,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:   9%|▊         | 345/4000 [08:48<1:32:25,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:   9%|▊         | 346/4000 [08:50<1:32:50,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:   9%|▊         | 347/4000 [08:51<1:32:28,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:   9%|▊         | 348/4000 [08:53<1:32:09,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:   9%|▊         | 349/4000 [08:54<1:31:58,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:   9%|▉         | 350/4000 [08:56<1:31:50,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:   9%|▉         | 351/4000 [08:57<1:32:01,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:   9%|▉         | 352/4000 [08:59<1:31:54,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:   9%|▉         | 353/4000 [09:00<1:31:46,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:   9%|▉         | 354/4000 [09:02<1:31:39,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:   9%|▉         | 355/4000 [09:03<1:31:29,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:   9%|▉         | 356/4000 [09:05<1:31:36,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:   9%|▉         | 357/4000 [09:06<1:31:33,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:   9%|▉         | 358/4000 [09:08<1:32:01,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:   9%|▉         | 359/4000 [09:09<1:31:40,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:   9%|▉         | 360/4000 [09:11<1:32:14,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:   9%|▉         | 361/4000 [09:12<1:32:04,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:   9%|▉         | 362/4000 [09:14<1:31:50,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:   9%|▉         | 363/4000 [09:15<1:31:37,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:   9%|▉         | 364/4000 [09:17<1:31:39,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:   9%|▉         | 365/4000 [09:18<1:31:41,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:   9%|▉         | 366/4000 [09:20<1:31:54,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:   9%|▉         | 367/4000 [09:21<1:32:11,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:   9%|▉         | 368/4000 [09:23<1:32:05,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:   9%|▉         | 369/4000 [09:24<1:32:03,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:   9%|▉         | 370/4000 [09:26<1:28:42,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.450800895690918
train acc: 0.5435222387313843
train loss: 1.439112901687622
train acc: 0.5389999747276306
train loss: 1.4524962902069092
train acc: 0.5429999828338623
train loss: 1.4178202152252197
train acc: 0.5627530217170715


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   9%|▉         | 371/4000 [09:28<1:46:18,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:   9%|▉         | 372/4000 [09:30<1:41:54,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:   9%|▉         | 373/4000 [09:31<1:38:35,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:   9%|▉         | 374/4000 [09:33<1:36:31,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:   9%|▉         | 375/4000 [09:34<1:34:43,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:   9%|▉         | 376/4000 [09:36<1:33:29,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:   9%|▉         | 377/4000 [09:37<1:33:17,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:   9%|▉         | 378/4000 [09:39<1:32:44,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:   9%|▉         | 379/4000 [09:40<1:32:26,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  10%|▉         | 380/4000 [09:42<1:31:51,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  10%|▉         | 381/4000 [09:43<1:31:42,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  10%|▉         | 382/4000 [09:45<1:31:38,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  10%|▉         | 383/4000 [09:46<1:31:44,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  10%|▉         | 384/4000 [09:48<1:31:20,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  10%|▉         | 385/4000 [09:49<1:31:18,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  10%|▉         | 386/4000 [09:51<1:31:19,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  10%|▉         | 387/4000 [09:52<1:31:04,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  10%|▉         | 388/4000 [09:54<1:30:48,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  10%|▉         | 389/4000 [09:55<1:30:40,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  10%|▉         | 390/4000 [09:57<1:30:45,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  10%|▉         | 391/4000 [09:58<1:31:17,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  10%|▉         | 392/4000 [10:00<1:31:08,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  10%|▉         | 393/4000 [10:01<1:31:08,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  10%|▉         | 394/4000 [10:03<1:31:13,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  10%|▉         | 395/4000 [10:05<1:31:42,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  10%|▉         | 396/4000 [10:06<1:31:37,  1.53s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.53s/it]
overall:  10%|▉         | 397/4000 [10:08<1:31:29,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  10%|▉         | 398/4000 [10:09<1:31:28,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  10%|▉         | 399/4000 [10:11<1:30:58,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  10%|█         | 400/4000 [10:12<1:31:15,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  10%|█         | 401/4000 [10:14<1:31:20,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  10%|█         | 402/4000 [10:15<1:31:11,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  10%|█         | 403/4000 [10:17<1:31:08,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  10%|█         | 404/4000 [10:18<1:31:05,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  10%|█         | 405/4000 [10:20<1:31:03,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  10%|█         | 406/4000 [10:21<1:30:46,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  10%|█         | 407/4000 [10:23<1:27:32,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.3922810554504395
train acc: 0.5730000138282776
train loss: 1.3992869853973389
train acc: 0.5690000057220459
train loss: 1.382593035697937
train acc: 0.5630000233650208


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  10%|█         | 408/4000 [10:25<1:44:47,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  10%|█         | 409/4000 [10:27<1:40:53,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  10%|█         | 410/4000 [10:28<1:37:35,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  10%|█         | 411/4000 [10:30<1:35:25,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  10%|█         | 412/4000 [10:31<1:33:46,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  10%|█         | 413/4000 [10:33<1:32:51,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  10%|█         | 414/4000 [10:34<1:32:10,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  10%|█         | 415/4000 [10:36<1:31:30,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  10%|█         | 416/4000 [10:37<1:31:10,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  10%|█         | 417/4000 [10:39<1:31:07,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  10%|█         | 418/4000 [10:40<1:30:50,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  10%|█         | 419/4000 [10:42<1:30:44,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  10%|█         | 420/4000 [10:43<1:30:32,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  11%|█         | 421/4000 [10:45<1:30:55,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.52s/it]
overall:  11%|█         | 422/4000 [10:46<1:30:43,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  11%|█         | 423/4000 [10:48<1:30:46,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  11%|█         | 424/4000 [10:49<1:30:32,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  11%|█         | 425/4000 [10:51<1:30:17,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  11%|█         | 426/4000 [10:52<1:30:19,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  11%|█         | 427/4000 [10:54<1:30:30,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  11%|█         | 428/4000 [10:55<1:30:54,  1.53s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.53s/it]
overall:  11%|█         | 429/4000 [10:57<1:30:52,  1.53s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.53s/it]
overall:  11%|█         | 430/4000 [10:58<1:30:40,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  11%|█         | 431/4000 [11:00<1:30:56,  1.53s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.53s/it]
overall:  11%|█         | 432/4000 [11:02<1:31:03,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  11%|█         | 433/4000 [11:03<1:31:10,  1.53s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.53s/it]
overall:  11%|█         | 434/4000 [11:05<1:31:07,  1.53s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.53s/it]
overall:  11%|█         | 435/4000 [11:06<1:30:49,  1.53s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.53s/it]
overall:  11%|█         | 436/4000 [11:08<1:30:41,  1.53s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.53s/it]
overall:  11%|█         | 437/4000 [11:09<1:30:37,  1.53s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.53s/it]
overall:  11%|█         | 438/4000 [11:11<1:30:29,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  11%|█         | 439/4000 [11:12<1:30:19,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  11%|█         | 440/4000 [11:14<1:30:23,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  11%|█         | 441/4000 [11:15<1:30:36,  1.53s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.53s/it]
overall:  11%|█         | 442/4000 [11:17<1:30:24,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:54<00:03,  1.52s/it]
overall:  11%|█         | 443/4000 [11:18<1:29:58,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  11%|█         | 444/4000 [11:20<1:26:53,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:57<00:00,  1.54s/it]
train loss: 1.3798680305480957
train acc: 0.557692289352417
train loss: 1.3607831001281738
train acc: 0.5799999833106995
train loss: 1.366288423538208
train acc: 0.5669999718666077
train loss: 1.3498051166534424
train acc: 0.5699999928474426


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  11%|█         | 445/4000 [11:22<1:45:25,  1.78s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.38s/it]
overall:  11%|█         | 446/4000 [11:24<1:40:43,  1.70s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.87s/it]
overall:  11%|█         | 447/4000 [11:25<1:37:34,  1.65s/it]

train:   8%|▊         | 3/37 [00:05<00:58,  1.71s/it]
overall:  11%|█         | 448/4000 [11:27<1:35:17,  1.61s/it]

train:  11%|█         | 4/37 [00:06<00:54,  1.64s/it]
overall:  11%|█         | 449/4000 [11:28<1:33:34,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  11%|█▏        | 450/4000 [11:30<1:32:11,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  11%|█▏        | 451/4000 [11:31<1:31:21,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  11%|█▏        | 452/4000 [11:33<1:30:47,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  11%|█▏        | 453/4000 [11:34<1:30:23,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  11%|█▏        | 454/4000 [11:36<1:30:10,  1.53s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.53s/it]
overall:  11%|█▏        | 455/4000 [11:37<1:29:56,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  11%|█▏        | 456/4000 [11:39<1:29:38,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:37,  1.52s/it]
overall:  11%|█▏        | 457/4000 [11:40<1:29:37,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  11%|█▏        | 458/4000 [11:42<1:29:33,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  11%|█▏        | 459/4000 [11:43<1:29:24,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  12%|█▏        | 460/4000 [11:45<1:29:23,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  12%|█▏        | 461/4000 [11:46<1:29:43,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  12%|█▏        | 462/4000 [11:48<1:30:00,  1.53s/it]

train:  49%|████▊     | 18/37 [00:28<00:29,  1.53s/it]
overall:  12%|█▏        | 463/4000 [11:49<1:29:53,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  12%|█▏        | 464/4000 [11:51<1:29:35,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  12%|█▏        | 465/4000 [11:52<1:29:30,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  12%|█▏        | 466/4000 [11:54<1:30:07,  1.53s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.53s/it]
overall:  12%|█▏        | 467/4000 [11:56<1:29:50,  1.53s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.53s/it]
overall:  12%|█▏        | 468/4000 [11:57<1:29:37,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  12%|█▏        | 469/4000 [11:59<1:29:30,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  12%|█▏        | 470/4000 [12:00<1:29:13,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  12%|█▏        | 471/4000 [12:02<1:29:15,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  12%|█▏        | 472/4000 [12:03<1:29:15,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  12%|█▏        | 473/4000 [12:05<1:29:13,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  12%|█▏        | 474/4000 [12:06<1:29:11,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  12%|█▏        | 475/4000 [12:08<1:29:13,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  12%|█▏        | 476/4000 [12:09<1:28:53,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  12%|█▏        | 477/4000 [12:11<1:28:57,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  12%|█▏        | 478/4000 [12:12<1:28:57,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  12%|█▏        | 479/4000 [12:14<1:29:06,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  12%|█▏        | 480/4000 [12:15<1:29:27,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  12%|█▏        | 481/4000 [12:17<1:26:28,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:57<00:00,  1.54s/it]
train loss: 1.3583605289459229
train acc: 0.568825900554657
train loss: 1.349271297454834
train acc: 0.5720000267028809
train loss: 1.306378722190857
train acc: 0.5879999995231628
train loss: 1.3116897344589233
train acc: 0.5929999947547913


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  12%|█▏        | 482/4000 [12:19<1:43:37,  1.77s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  12%|█▏        | 483/4000 [12:21<1:39:20,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  12%|█▏        | 484/4000 [12:22<1:35:56,  1.64s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  12%|█▏        | 485/4000 [12:24<1:33:56,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  12%|█▏        | 486/4000 [12:25<1:32:19,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  12%|█▏        | 487/4000 [12:27<1:31:01,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  12%|█▏        | 488/4000 [12:28<1:30:03,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  12%|█▏        | 489/4000 [12:30<1:29:36,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  12%|█▏        | 490/4000 [12:31<1:29:15,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  12%|█▏        | 491/4000 [12:33<1:28:55,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  12%|█▏        | 492/4000 [12:34<1:28:33,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  12%|█▏        | 493/4000 [12:36<1:28:27,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  12%|█▏        | 494/4000 [12:37<1:28:33,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  12%|█▏        | 495/4000 [12:39<1:28:47,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  12%|█▏        | 496/4000 [12:40<1:29:58,  1.54s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.54s/it]
overall:  12%|█▏        | 497/4000 [12:42<1:30:45,  1.55s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.55s/it]
overall:  12%|█▏        | 498/4000 [12:43<1:30:04,  1.54s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.54s/it]
overall:  12%|█▏        | 499/4000 [12:45<1:29:36,  1.54s/it]

train:  49%|████▊     | 18/37 [00:28<00:29,  1.54s/it]
overall:  12%|█▎        | 500/4000 [12:46<1:29:01,  1.53s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.53s/it]
overall:  13%|█▎        | 501/4000 [12:48<1:28:42,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  13%|█▎        | 502/4000 [12:49<1:28:31,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  13%|█▎        | 503/4000 [12:51<1:28:21,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  13%|█▎        | 504/4000 [12:52<1:28:18,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  13%|█▎        | 505/4000 [12:54<1:28:15,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  13%|█▎        | 506/4000 [12:56<1:28:16,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  13%|█▎        | 507/4000 [12:57<1:28:11,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  13%|█▎        | 508/4000 [12:59<1:28:06,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  13%|█▎        | 509/4000 [13:00<1:28:26,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  13%|█▎        | 510/4000 [13:02<1:28:23,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  13%|█▎        | 511/4000 [13:03<1:28:12,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  13%|█▎        | 512/4000 [13:05<1:27:59,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  13%|█▎        | 513/4000 [13:06<1:28:21,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  13%|█▎        | 514/4000 [13:08<1:28:18,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  13%|█▎        | 515/4000 [13:09<1:28:22,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  13%|█▎        | 516/4000 [13:11<1:28:35,  1.53s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.53s/it]
overall:  13%|█▎        | 517/4000 [13:12<1:28:08,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  13%|█▎        | 518/4000 [13:14<1:24:58,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.2693607807159424
train acc: 0.5971660017967224
train loss: 1.3074837923049927
train acc: 0.5720000267028809
train loss: 1.3120696544647217
train acc: 0.5899999737739563


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  13%|█▎        | 519/4000 [13:16<1:39:10,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.17s/it]
overall:  13%|█▎        | 520/4000 [13:17<1:35:52,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  13%|█▎        | 521/4000 [13:19<1:33:31,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  13%|█▎        | 522/4000 [13:20<1:31:31,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  13%|█▎        | 523/4000 [13:22<1:30:11,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  13%|█▎        | 524/4000 [13:23<1:29:14,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  13%|█▎        | 525/4000 [13:25<1:28:55,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  13%|█▎        | 526/4000 [13:26<1:28:39,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  13%|█▎        | 527/4000 [13:28<1:28:07,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  13%|█▎        | 528/4000 [13:29<1:27:52,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  13%|█▎        | 529/4000 [13:31<1:27:36,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  13%|█▎        | 530/4000 [13:33<1:28:25,  1.53s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.53s/it]
overall:  13%|█▎        | 531/4000 [13:34<1:28:36,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  13%|█▎        | 532/4000 [13:36<1:30:05,  1.56s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.56s/it]
overall:  13%|█▎        | 533/4000 [13:37<1:29:19,  1.55s/it]

train:  41%|████      | 15/37 [00:23<00:34,  1.55s/it]
overall:  13%|█▎        | 534/4000 [13:39<1:28:34,  1.53s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.53s/it]
overall:  13%|█▎        | 535/4000 [13:40<1:28:06,  1.53s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.53s/it]
overall:  13%|█▎        | 536/4000 [13:42<1:27:34,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  13%|█▎        | 537/4000 [13:43<1:27:15,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  13%|█▎        | 538/4000 [13:45<1:27:13,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  13%|█▎        | 539/4000 [13:46<1:27:11,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  14%|█▎        | 540/4000 [13:48<1:27:07,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  14%|█▎        | 541/4000 [13:49<1:27:10,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  14%|█▎        | 542/4000 [13:51<1:27:09,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  14%|█▎        | 543/4000 [13:52<1:27:18,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  14%|█▎        | 544/4000 [13:54<1:27:50,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  14%|█▎        | 545/4000 [13:55<1:27:36,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  14%|█▎        | 546/4000 [13:57<1:27:12,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  14%|█▎        | 547/4000 [13:58<1:27:06,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  14%|█▎        | 548/4000 [14:00<1:27:07,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  14%|█▎        | 549/4000 [14:01<1:27:10,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  14%|█▍        | 550/4000 [14:03<1:26:56,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  14%|█▍        | 551/4000 [14:04<1:26:47,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  14%|█▍        | 552/4000 [14:06<1:26:58,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  14%|█▍        | 553/4000 [14:07<1:26:54,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  14%|█▍        | 554/4000 [14:09<1:26:57,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  14%|█▍        | 555/4000 [14:10<1:23:57,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.2691386938095093
train acc: 0.5921052694320679
train loss: 1.2652969360351562
train acc: 0.6140000224113464
train loss: 1.257509469985962
train acc: 0.5979999899864197
train loss: 1.2449970245361328
train acc: 0.6079999804496765


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  14%|█▍        | 556/4000 [14:13<1:38:56,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  14%|█▍        | 557/4000 [14:14<1:35:06,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  14%|█▍        | 558/4000 [14:16<1:32:26,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  14%|█▍        | 559/4000 [14:17<1:30:39,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  14%|█▍        | 560/4000 [14:19<1:29:24,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  14%|█▍        | 561/4000 [14:20<1:28:40,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  14%|█▍        | 562/4000 [14:22<1:28:06,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  14%|█▍        | 563/4000 [14:23<1:27:27,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  14%|█▍        | 564/4000 [14:25<1:27:11,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  14%|█▍        | 565/4000 [14:26<1:26:53,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  14%|█▍        | 566/4000 [14:28<1:26:34,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  14%|█▍        | 567/4000 [14:29<1:26:26,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  14%|█▍        | 568/4000 [14:31<1:26:53,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  14%|█▍        | 569/4000 [14:32<1:26:46,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  14%|█▍        | 570/4000 [14:34<1:26:59,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  14%|█▍        | 571/4000 [14:35<1:26:58,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  14%|█▍        | 572/4000 [14:37<1:26:38,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  14%|█▍        | 573/4000 [14:38<1:26:42,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  14%|█▍        | 574/4000 [14:40<1:26:37,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  14%|█▍        | 575/4000 [14:41<1:26:21,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  14%|█▍        | 576/4000 [14:43<1:26:20,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  14%|█▍        | 577/4000 [14:44<1:26:22,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  14%|█▍        | 578/4000 [14:46<1:26:15,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  14%|█▍        | 579/4000 [14:47<1:26:13,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  14%|█▍        | 580/4000 [14:49<1:26:41,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  15%|█▍        | 581/4000 [14:50<1:26:40,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  15%|█▍        | 582/4000 [14:52<1:26:35,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  15%|█▍        | 583/4000 [14:54<1:26:17,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  15%|█▍        | 584/4000 [14:55<1:26:15,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  15%|█▍        | 585/4000 [14:57<1:26:21,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  15%|█▍        | 586/4000 [14:58<1:26:23,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  15%|█▍        | 587/4000 [15:00<1:26:07,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  15%|█▍        | 588/4000 [15:01<1:26:25,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  15%|█▍        | 589/4000 [15:03<1:26:27,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  15%|█▍        | 590/4000 [15:04<1:26:23,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  15%|█▍        | 591/4000 [15:06<1:26:38,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  15%|█▍        | 592/4000 [15:07<1:23:40,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.2879343032836914
train acc: 0.5890688300132751
train loss: 1.2261780500411987
train acc: 0.621999979019165
train loss: 1.2390533685684204
train acc: 0.6209999918937683
train loss: 1.2416608333587646
train acc: 0.6050000190734863


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  15%|█▍        | 593/4000 [15:09<1:39:40,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.29s/it]
overall:  15%|█▍        | 594/4000 [15:11<1:35:17,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  15%|█▍        | 595/4000 [15:12<1:32:27,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  15%|█▍        | 596/4000 [15:14<1:30:52,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  15%|█▍        | 597/4000 [15:16<1:29:25,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  15%|█▍        | 598/4000 [15:17<1:28:10,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  15%|█▍        | 599/4000 [15:19<1:27:17,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  15%|█▌        | 600/4000 [15:20<1:26:51,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  15%|█▌        | 601/4000 [15:22<1:27:06,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  15%|█▌        | 602/4000 [15:23<1:26:51,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  15%|█▌        | 603/4000 [15:25<1:26:31,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  15%|█▌        | 604/4000 [15:26<1:26:23,  1.53s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.53s/it]
overall:  15%|█▌        | 605/4000 [15:28<1:26:43,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  15%|█▌        | 606/4000 [15:29<1:26:25,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  15%|█▌        | 607/4000 [15:31<1:26:34,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  15%|█▌        | 608/4000 [15:32<1:26:42,  1.53s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.53s/it]
overall:  15%|█▌        | 609/4000 [15:34<1:26:24,  1.53s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.53s/it]
overall:  15%|█▌        | 610/4000 [15:35<1:26:01,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  15%|█▌        | 611/4000 [15:37<1:25:48,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  15%|█▌        | 612/4000 [15:38<1:25:38,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  15%|█▌        | 613/4000 [15:40<1:25:43,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  15%|█▌        | 614/4000 [15:41<1:25:39,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  15%|█▌        | 615/4000 [15:43<1:25:26,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  15%|█▌        | 616/4000 [15:44<1:25:20,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  15%|█▌        | 617/4000 [15:46<1:27:54,  1.56s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.56s/it]
overall:  15%|█▌        | 618/4000 [15:48<1:26:58,  1.54s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.54s/it]
overall:  15%|█▌        | 619/4000 [15:49<1:26:29,  1.53s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.53s/it]
overall:  16%|█▌        | 620/4000 [15:51<1:26:20,  1.53s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.53s/it]
overall:  16%|█▌        | 621/4000 [15:52<1:25:55,  1.53s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.53s/it]
overall:  16%|█▌        | 622/4000 [15:54<1:25:31,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  16%|█▌        | 623/4000 [15:55<1:25:21,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  16%|█▌        | 624/4000 [15:57<1:25:10,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  16%|█▌        | 625/4000 [15:58<1:25:16,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:51<00:06,  1.52s/it]
overall:  16%|█▌        | 626/4000 [16:00<1:25:04,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  16%|█▌        | 627/4000 [16:01<1:24:52,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:54<00:03,  1.51s/it]
overall:  16%|█▌        | 628/4000 [16:03<1:24:52,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  16%|█▌        | 629/4000 [16:04<1:21:56,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.1801695823669434
train acc: 0.6255060434341431
train loss: 1.2131792306900024
train acc: 0.6230000257492065
train loss: 1.195767879486084
train acc: 0.6240000128746033


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  16%|█▌        | 630/4000 [16:06<1:36:56,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  16%|█▌        | 631/4000 [16:08<1:33:24,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  16%|█▌        | 632/4000 [16:09<1:30:47,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  16%|█▌        | 633/4000 [16:11<1:29:00,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  16%|█▌        | 634/4000 [16:12<1:27:43,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  16%|█▌        | 635/4000 [16:14<1:26:53,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  16%|█▌        | 636/4000 [16:15<1:26:41,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  16%|█▌        | 637/4000 [16:17<1:26:15,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  16%|█▌        | 638/4000 [16:19<1:25:46,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  16%|█▌        | 639/4000 [16:20<1:25:39,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  16%|█▌        | 640/4000 [16:22<1:25:47,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  16%|█▌        | 641/4000 [16:23<1:25:30,  1.53s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.53s/it]
overall:  16%|█▌        | 642/4000 [16:25<1:26:04,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.54s/it]
overall:  16%|█▌        | 643/4000 [16:26<1:25:44,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  16%|█▌        | 644/4000 [16:28<1:25:25,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  16%|█▌        | 645/4000 [16:29<1:25:23,  1.53s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.53s/it]
overall:  16%|█▌        | 646/4000 [16:31<1:24:59,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  16%|█▌        | 647/4000 [16:32<1:24:51,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  16%|█▌        | 648/4000 [16:34<1:24:53,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  16%|█▌        | 649/4000 [16:35<1:24:55,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  16%|█▋        | 650/4000 [16:37<1:24:55,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  16%|█▋        | 651/4000 [16:38<1:24:40,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  16%|█▋        | 652/4000 [16:40<1:24:22,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  16%|█▋        | 653/4000 [16:41<1:24:25,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  16%|█▋        | 654/4000 [16:43<1:24:30,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  16%|█▋        | 655/4000 [16:44<1:24:18,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  16%|█▋        | 656/4000 [16:46<1:24:09,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  16%|█▋        | 657/4000 [16:47<1:24:12,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  16%|█▋        | 658/4000 [16:49<1:24:01,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  16%|█▋        | 659/4000 [16:50<1:23:58,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  16%|█▋        | 660/4000 [16:52<1:24:12,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  17%|█▋        | 661/4000 [16:53<1:24:18,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  17%|█▋        | 662/4000 [16:55<1:24:21,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  17%|█▋        | 663/4000 [16:56<1:24:22,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  17%|█▋        | 664/4000 [16:58<1:24:24,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  17%|█▋        | 665/4000 [17:00<1:24:22,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  17%|█▋        | 666/4000 [17:01<1:21:28,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.2314441204071045
train acc: 0.623481810092926
train loss: 1.206534743309021
train acc: 0.6060000061988831
train loss: 1.1857199668884277
train acc: 0.6380000114440918
train loss: 1.1705726385116577
train acc: 0.6299999952316284


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  17%|█▋        | 667/4000 [17:03<1:37:38,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  17%|█▋        | 668/4000 [17:05<1:33:20,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  17%|█▋        | 669/4000 [17:06<1:30:30,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  17%|█▋        | 670/4000 [17:08<1:28:39,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  17%|█▋        | 671/4000 [17:09<1:27:24,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  17%|█▋        | 672/4000 [17:11<1:26:22,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  17%|█▋        | 673/4000 [17:12<1:25:52,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  17%|█▋        | 674/4000 [17:14<1:25:58,  1.55s/it]

train:  22%|██▏       | 8/37 [00:12<00:45,  1.55s/it]
overall:  17%|█▋        | 675/4000 [17:15<1:25:26,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  17%|█▋        | 676/4000 [17:17<1:25:38,  1.55s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.55s/it]
overall:  17%|█▋        | 677/4000 [17:19<1:25:05,  1.54s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.54s/it]
overall:  17%|█▋        | 678/4000 [17:20<1:24:49,  1.53s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.53s/it]
overall:  17%|█▋        | 679/4000 [17:22<1:24:55,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  17%|█▋        | 680/4000 [17:23<1:24:34,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  17%|█▋        | 681/4000 [17:25<1:24:13,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  17%|█▋        | 682/4000 [17:26<1:23:57,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  17%|█▋        | 683/4000 [17:28<1:23:45,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  17%|█▋        | 684/4000 [17:29<1:23:49,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  17%|█▋        | 685/4000 [17:31<1:23:38,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  17%|█▋        | 686/4000 [17:32<1:23:34,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  17%|█▋        | 687/4000 [17:34<1:23:34,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  17%|█▋        | 688/4000 [17:35<1:23:42,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  17%|█▋        | 689/4000 [17:37<1:23:29,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  17%|█▋        | 690/4000 [17:38<1:23:31,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  17%|█▋        | 691/4000 [17:40<1:23:51,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  17%|█▋        | 692/4000 [17:41<1:23:51,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  17%|█▋        | 693/4000 [17:43<1:23:49,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  17%|█▋        | 694/4000 [17:44<1:23:28,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  17%|█▋        | 695/4000 [17:46<1:23:26,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  17%|█▋        | 696/4000 [17:47<1:23:26,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  17%|█▋        | 697/4000 [17:49<1:23:36,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  17%|█▋        | 698/4000 [17:50<1:23:29,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  17%|█▋        | 699/4000 [17:52<1:23:21,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  18%|█▊        | 700/4000 [17:53<1:23:39,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  18%|█▊        | 701/4000 [17:55<1:23:35,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  18%|█▊        | 702/4000 [17:56<1:23:28,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  18%|█▊        | 703/4000 [17:58<1:20:34,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.1663367748260498
train acc: 0.6518218517303467
train loss: 1.2192714214324951
train acc: 0.6190000176429749
train loss: 1.1816703081130981
train acc: 0.6119999885559082
train loss: 1.1338123083114624
train acc: 0.6610000133514404


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  18%|█▊        | 704/4000 [18:00<1:34:39,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  18%|█▊        | 705/4000 [18:02<1:31:29,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  18%|█▊        | 706/4000 [18:03<1:29:22,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  18%|█▊        | 707/4000 [18:05<1:28:01,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  18%|█▊        | 708/4000 [18:06<1:26:30,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  18%|█▊        | 709/4000 [18:08<1:25:25,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  18%|█▊        | 710/4000 [18:09<1:24:37,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  18%|█▊        | 711/4000 [18:11<1:24:12,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  18%|█▊        | 712/4000 [18:12<1:23:46,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  18%|█▊        | 713/4000 [18:14<1:23:39,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  18%|█▊        | 714/4000 [18:15<1:23:13,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  18%|█▊        | 715/4000 [18:17<1:23:15,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  18%|█▊        | 716/4000 [18:18<1:23:20,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  18%|█▊        | 717/4000 [18:20<1:23:14,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  18%|█▊        | 718/4000 [18:21<1:23:23,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  18%|█▊        | 719/4000 [18:23<1:23:00,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  18%|█▊        | 720/4000 [18:24<1:22:51,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  18%|█▊        | 721/4000 [18:26<1:22:51,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  18%|█▊        | 722/4000 [18:27<1:22:38,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  18%|█▊        | 723/4000 [18:29<1:22:31,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  18%|█▊        | 724/4000 [18:30<1:22:14,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  18%|█▊        | 725/4000 [18:32<1:22:19,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  18%|█▊        | 726/4000 [18:34<1:22:34,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  18%|█▊        | 727/4000 [18:35<1:22:31,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  18%|█▊        | 728/4000 [18:37<1:22:44,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  18%|█▊        | 729/4000 [18:38<1:22:41,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  18%|█▊        | 730/4000 [18:40<1:22:43,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  18%|█▊        | 731/4000 [18:41<1:22:43,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  18%|█▊        | 732/4000 [18:43<1:22:30,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  18%|█▊        | 733/4000 [18:44<1:22:25,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  18%|█▊        | 734/4000 [18:46<1:22:16,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  18%|█▊        | 735/4000 [18:47<1:22:33,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  18%|█▊        | 736/4000 [18:49<1:22:20,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  18%|█▊        | 737/4000 [18:50<1:22:26,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  18%|█▊        | 738/4000 [18:52<1:22:11,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  18%|█▊        | 739/4000 [18:53<1:22:04,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  18%|█▊        | 740/4000 [18:55<1:19:25,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.1195695400238037
train acc: 0.6690283417701721
train loss: 1.1433017253875732
train acc: 0.6330000162124634
train loss: 1.155991792678833
train acc: 0.6290000081062317
train loss: 1.1660854816436768
train acc: 0.6366396546363831


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  19%|█▊        | 741/4000 [18:57<1:32:40,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.17s/it]
overall:  19%|█▊        | 742/4000 [18:58<1:29:37,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  19%|█▊        | 743/4000 [19:00<1:27:26,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  19%|█▊        | 744/4000 [19:01<1:25:42,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  19%|█▊        | 745/4000 [19:03<1:24:59,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  19%|█▊        | 746/4000 [19:04<1:24:41,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  19%|█▊        | 747/4000 [19:06<1:24:00,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  19%|█▊        | 748/4000 [19:08<1:23:28,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  19%|█▊        | 749/4000 [19:09<1:23:24,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  19%|█▉        | 750/4000 [19:11<1:23:24,  1.54s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.54s/it]
overall:  19%|█▉        | 751/4000 [19:12<1:22:55,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  19%|█▉        | 752/4000 [19:14<1:22:42,  1.53s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.53s/it]
overall:  19%|█▉        | 753/4000 [19:15<1:22:29,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  19%|█▉        | 754/4000 [19:17<1:22:04,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  19%|█▉        | 755/4000 [19:18<1:22:03,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  19%|█▉        | 756/4000 [19:20<1:21:44,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  19%|█▉        | 757/4000 [19:21<1:21:33,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  19%|█▉        | 758/4000 [19:23<1:21:34,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  19%|█▉        | 759/4000 [19:24<1:21:29,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  19%|█▉        | 760/4000 [19:26<1:21:23,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  19%|█▉        | 761/4000 [19:27<1:21:32,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  19%|█▉        | 762/4000 [19:29<1:21:38,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  19%|█▉        | 763/4000 [19:30<1:21:35,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  19%|█▉        | 764/4000 [19:32<1:21:36,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  19%|█▉        | 765/4000 [19:33<1:21:48,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  19%|█▉        | 766/4000 [19:35<1:21:34,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  19%|█▉        | 767/4000 [19:36<1:21:32,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  19%|█▉        | 768/4000 [19:38<1:21:36,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  19%|█▉        | 769/4000 [19:39<1:21:41,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  19%|█▉        | 770/4000 [19:41<1:21:41,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  19%|█▉        | 771/4000 [19:42<1:21:45,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  19%|█▉        | 772/4000 [19:44<1:21:46,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  19%|█▉        | 773/4000 [19:45<1:21:45,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  19%|█▉        | 774/4000 [19:47<1:21:47,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  19%|█▉        | 775/4000 [19:48<1:21:50,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  19%|█▉        | 776/4000 [19:50<1:21:34,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  19%|█▉        | 777/4000 [19:51<1:18:41,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.1467783451080322
train acc: 0.6389999985694885
train loss: 1.1200079917907715
train acc: 0.6589999794960022
train loss: 1.150173544883728
train acc: 0.6190000176429749


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  19%|█▉        | 778/4000 [19:54<1:32:02,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  19%|█▉        | 779/4000 [19:55<1:28:53,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  20%|█▉        | 780/4000 [19:57<1:26:42,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  20%|█▉        | 781/4000 [19:58<1:25:04,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  20%|█▉        | 782/4000 [20:00<1:23:55,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  20%|█▉        | 783/4000 [20:01<1:23:02,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  20%|█▉        | 784/4000 [20:03<1:22:30,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  20%|█▉        | 785/4000 [20:04<1:22:23,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  20%|█▉        | 786/4000 [20:06<1:22:22,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  20%|█▉        | 787/4000 [20:07<1:22:05,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  20%|█▉        | 788/4000 [20:09<1:21:41,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  20%|█▉        | 789/4000 [20:10<1:21:24,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  20%|█▉        | 790/4000 [20:12<1:22:37,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:37,  1.54s/it]
overall:  20%|█▉        | 791/4000 [20:13<1:21:56,  1.53s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.53s/it]
overall:  20%|█▉        | 792/4000 [20:15<1:21:31,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  20%|█▉        | 793/4000 [20:16<1:21:03,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  20%|█▉        | 794/4000 [20:18<1:21:03,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  20%|█▉        | 795/4000 [20:19<1:20:52,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  20%|█▉        | 796/4000 [20:21<1:20:40,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  20%|█▉        | 797/4000 [20:22<1:20:51,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  20%|█▉        | 798/4000 [20:24<1:20:38,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  20%|█▉        | 799/4000 [20:25<1:20:39,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  20%|██        | 800/4000 [20:27<1:20:42,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  20%|██        | 801/4000 [20:29<1:20:55,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  20%|██        | 802/4000 [20:30<1:20:50,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  20%|██        | 803/4000 [20:32<1:20:52,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  20%|██        | 804/4000 [20:33<1:21:09,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  20%|██        | 805/4000 [20:35<1:21:03,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  20%|██        | 806/4000 [20:36<1:21:54,  1.54s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.54s/it]
overall:  20%|██        | 807/4000 [20:38<1:21:31,  1.53s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.53s/it]
overall:  20%|██        | 808/4000 [20:39<1:21:13,  1.53s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.53s/it]
overall:  20%|██        | 809/4000 [20:41<1:21:09,  1.53s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.53s/it]
overall:  20%|██        | 810/4000 [20:42<1:20:56,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  20%|██        | 811/4000 [20:44<1:20:46,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  20%|██        | 812/4000 [20:45<1:20:38,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  20%|██        | 813/4000 [20:47<1:20:26,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  20%|██        | 814/4000 [20:48<1:17:38,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.088736891746521
train acc: 0.6538461446762085
train loss: 1.10990571975708
train acc: 0.6460000276565552
train loss: 1.1598494052886963
train acc: 0.6190000176429749
train loss: 1.0643056631088257
train acc: 0.6869999766349792


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  20%|██        | 815/4000 [20:51<1:32:22,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.29s/it]
overall:  20%|██        | 816/4000 [20:52<1:28:37,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  20%|██        | 817/4000 [20:54<1:25:56,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  20%|██        | 818/4000 [20:55<1:23:59,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  20%|██        | 819/4000 [20:57<1:22:44,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  20%|██        | 820/4000 [20:58<1:21:56,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  21%|██        | 821/4000 [21:00<1:21:34,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  21%|██        | 822/4000 [21:01<1:21:07,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  21%|██        | 823/4000 [21:03<1:21:09,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  21%|██        | 824/4000 [21:04<1:20:42,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  21%|██        | 825/4000 [21:06<1:20:21,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  21%|██        | 826/4000 [21:07<1:20:32,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  21%|██        | 827/4000 [21:09<1:21:11,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.54s/it]
overall:  21%|██        | 828/4000 [21:10<1:20:51,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  21%|██        | 829/4000 [21:12<1:20:41,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  21%|██        | 830/4000 [21:13<1:20:15,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  21%|██        | 831/4000 [21:15<1:20:18,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  21%|██        | 832/4000 [21:16<1:20:08,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  21%|██        | 833/4000 [21:18<1:19:57,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  21%|██        | 834/4000 [21:19<1:19:53,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  21%|██        | 835/4000 [21:21<1:20:14,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  21%|██        | 836/4000 [21:22<1:20:12,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  21%|██        | 837/4000 [21:24<1:20:10,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  21%|██        | 838/4000 [21:25<1:19:52,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  21%|██        | 839/4000 [21:27<1:19:53,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  21%|██        | 840/4000 [21:28<1:20:09,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  21%|██        | 841/4000 [21:30<1:20:04,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  21%|██        | 842/4000 [21:32<1:20:02,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  21%|██        | 843/4000 [21:33<1:20:17,  1.53s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.53s/it]
overall:  21%|██        | 844/4000 [21:35<1:20:02,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  21%|██        | 845/4000 [21:36<1:19:51,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  21%|██        | 846/4000 [21:38<1:19:33,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  21%|██        | 847/4000 [21:39<1:19:40,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  21%|██        | 848/4000 [21:41<1:19:30,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  21%|██        | 849/4000 [21:42<1:19:22,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  21%|██▏       | 850/4000 [21:44<1:19:28,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  21%|██▏       | 851/4000 [21:45<1:16:50,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.074737310409546
train acc: 0.6740890741348267
train loss: 1.0578413009643555
train acc: 0.656000018119812
train loss: 1.1097261905670166
train acc: 0.6579999923706055
train loss: 1.1554142236709595
train acc: 0.6320000290870667


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  21%|██▏       | 852/4000 [21:47<1:32:00,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  21%|██▏       | 853/4000 [21:49<1:28:18,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  21%|██▏       | 854/4000 [21:50<1:25:30,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  21%|██▏       | 855/4000 [21:52<1:23:41,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  21%|██▏       | 856/4000 [21:53<1:22:22,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  21%|██▏       | 857/4000 [21:55<1:21:52,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  21%|██▏       | 858/4000 [21:57<1:21:02,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  21%|██▏       | 859/4000 [21:58<1:20:20,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  22%|██▏       | 860/4000 [22:00<1:20:04,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  22%|██▏       | 861/4000 [22:01<1:20:06,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  22%|██▏       | 862/4000 [22:03<1:19:58,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  22%|██▏       | 863/4000 [22:04<1:19:46,  1.53s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.53s/it]
overall:  22%|██▏       | 864/4000 [22:06<1:19:44,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  22%|██▏       | 865/4000 [22:07<1:19:42,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  22%|██▏       | 866/4000 [22:09<1:19:26,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  22%|██▏       | 867/4000 [22:10<1:19:27,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  22%|██▏       | 868/4000 [22:12<1:19:18,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  22%|██▏       | 869/4000 [22:13<1:19:36,  1.53s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.53s/it]
overall:  22%|██▏       | 870/4000 [22:15<1:19:23,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  22%|██▏       | 871/4000 [22:16<1:19:07,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  22%|██▏       | 872/4000 [22:18<1:18:52,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  22%|██▏       | 873/4000 [22:19<1:18:53,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  22%|██▏       | 874/4000 [22:21<1:18:45,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  22%|██▏       | 875/4000 [22:22<1:18:46,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  22%|██▏       | 876/4000 [22:24<1:19:06,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  22%|██▏       | 877/4000 [22:25<1:19:10,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  22%|██▏       | 878/4000 [22:27<1:19:01,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  22%|██▏       | 879/4000 [22:28<1:19:01,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  22%|██▏       | 880/4000 [22:30<1:19:03,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  22%|██▏       | 881/4000 [22:31<1:19:06,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  22%|██▏       | 882/4000 [22:33<1:18:54,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  22%|██▏       | 883/4000 [22:34<1:18:42,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  22%|██▏       | 884/4000 [22:36<1:18:37,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  22%|██▏       | 885/4000 [22:37<1:18:36,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  22%|██▏       | 886/4000 [22:39<1:19:00,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  22%|██▏       | 887/4000 [22:41<1:18:44,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  22%|██▏       | 888/4000 [22:42<1:16:04,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.0597999095916748
train acc: 0.6872469782829285
train loss: 1.1084963083267212
train acc: 0.6399999856948853
train loss: 1.0916081666946411
train acc: 0.6600000262260437


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  22%|██▏       | 889/4000 [22:44<1:31:22,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  22%|██▏       | 890/4000 [22:46<1:27:32,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  22%|██▏       | 891/4000 [22:47<1:24:51,  1.64s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  22%|██▏       | 892/4000 [22:49<1:22:55,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  22%|██▏       | 893/4000 [22:50<1:21:39,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  22%|██▏       | 894/4000 [22:52<1:20:44,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  22%|██▏       | 895/4000 [22:53<1:20:27,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.56s/it]
overall:  22%|██▏       | 896/4000 [22:55<1:20:27,  1.56s/it]

train:  22%|██▏       | 8/37 [00:13<00:45,  1.56s/it]
overall:  22%|██▏       | 897/4000 [22:57<1:19:55,  1.55s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.55s/it]
overall:  22%|██▏       | 898/4000 [22:58<1:19:19,  1.53s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.53s/it]
overall:  22%|██▏       | 899/4000 [23:00<1:19:02,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  22%|██▎       | 900/4000 [23:01<1:18:46,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.52s/it]
overall:  23%|██▎       | 901/4000 [23:03<1:19:14,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  23%|██▎       | 902/4000 [23:04<1:18:43,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.52s/it]
overall:  23%|██▎       | 903/4000 [23:06<1:18:17,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  23%|██▎       | 904/4000 [23:07<1:18:02,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  23%|██▎       | 905/4000 [23:09<1:17:49,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  23%|██▎       | 906/4000 [23:10<1:17:48,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  23%|██▎       | 907/4000 [23:12<1:17:46,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  23%|██▎       | 908/4000 [23:13<1:17:57,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  23%|██▎       | 909/4000 [23:15<1:17:57,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  23%|██▎       | 910/4000 [23:16<1:17:48,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  23%|██▎       | 911/4000 [23:18<1:17:48,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  23%|██▎       | 912/4000 [23:19<1:18:16,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  23%|██▎       | 913/4000 [23:21<1:19:04,  1.54s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.54s/it]
overall:  23%|██▎       | 914/4000 [23:22<1:18:46,  1.53s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.53s/it]
overall:  23%|██▎       | 915/4000 [23:24<1:18:34,  1.53s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.53s/it]
overall:  23%|██▎       | 916/4000 [23:25<1:18:16,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  23%|██▎       | 917/4000 [23:27<1:18:11,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  23%|██▎       | 918/4000 [23:28<1:18:03,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  23%|██▎       | 919/4000 [23:30<1:18:00,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  23%|██▎       | 920/4000 [23:31<1:18:08,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  23%|██▎       | 921/4000 [23:33<1:17:53,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  23%|██▎       | 922/4000 [23:34<1:17:41,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  23%|██▎       | 923/4000 [23:36<1:17:55,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:54<00:03,  1.52s/it]
overall:  23%|██▎       | 924/4000 [23:38<1:17:42,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  23%|██▎       | 925/4000 [23:39<1:15:01,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.048973798751831
train acc: 0.6730769276618958
train loss: 1.0524451732635498
train acc: 0.6690000295639038
train loss: 1.0587260723114014
train acc: 0.6539999842643738
train loss: 1.1155033111572266
train acc: 0.6449999809265137


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  23%|██▎       | 926/4000 [23:41<1:29:28,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.29s/it]
overall:  23%|██▎       | 927/4000 [23:43<1:25:54,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  23%|██▎       | 928/4000 [23:44<1:23:48,  1.64s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  23%|██▎       | 929/4000 [23:46<1:22:04,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  23%|██▎       | 930/4000 [23:47<1:21:01,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:51,  1.60s/it]
overall:  23%|██▎       | 931/4000 [23:49<1:20:01,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  23%|██▎       | 932/4000 [23:50<1:19:11,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  23%|██▎       | 933/4000 [23:52<1:18:35,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  23%|██▎       | 934/4000 [23:53<1:18:18,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  23%|██▎       | 935/4000 [23:55<1:17:54,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  23%|██▎       | 936/4000 [23:56<1:17:37,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  23%|██▎       | 937/4000 [23:58<1:17:20,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  23%|██▎       | 938/4000 [24:00<1:17:21,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  23%|██▎       | 939/4000 [24:01<1:17:06,  1.51s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.51s/it]
overall:  24%|██▎       | 940/4000 [24:03<1:17:26,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  24%|██▎       | 941/4000 [24:04<1:17:08,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  24%|██▎       | 942/4000 [24:06<1:16:53,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  24%|██▎       | 943/4000 [24:07<1:16:42,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  24%|██▎       | 944/4000 [24:09<1:16:38,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  24%|██▎       | 945/4000 [24:10<1:16:47,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  24%|██▎       | 946/4000 [24:12<1:16:49,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  24%|██▎       | 947/4000 [24:13<1:16:47,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  24%|██▎       | 948/4000 [24:15<1:17:11,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  24%|██▎       | 949/4000 [24:16<1:17:14,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  24%|██▍       | 950/4000 [24:18<1:17:33,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  24%|██▍       | 951/4000 [24:19<1:17:33,  1.53s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.53s/it]
overall:  24%|██▍       | 952/4000 [24:21<1:17:54,  1.53s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.53s/it]
overall:  24%|██▍       | 953/4000 [24:22<1:17:33,  1.53s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.53s/it]
overall:  24%|██▍       | 954/4000 [24:24<1:17:21,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  24%|██▍       | 955/4000 [24:25<1:17:07,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  24%|██▍       | 956/4000 [24:27<1:16:47,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  24%|██▍       | 957/4000 [24:28<1:16:36,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  24%|██▍       | 958/4000 [24:30<1:16:35,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  24%|██▍       | 959/4000 [24:31<1:16:45,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  24%|██▍       | 960/4000 [24:33<1:16:43,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  24%|██▍       | 961/4000 [24:34<1:16:44,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  24%|██▍       | 962/4000 [24:36<1:14:01,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.058892011642456
train acc: 0.6680161952972412
train loss: 1.0474224090576172
train acc: 0.6850000023841858
train loss: 1.0520018339157104
train acc: 0.6650000214576721
train loss: 1.046483039855957
train acc: 0.6650000214576721


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  24%|██▍       | 963/4000 [24:38<1:26:44,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  24%|██▍       | 964/4000 [24:40<1:23:34,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  24%|██▍       | 965/4000 [24:41<1:21:31,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  24%|██▍       | 966/4000 [24:43<1:20:10,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  24%|██▍       | 967/4000 [24:44<1:19:25,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  24%|██▍       | 968/4000 [24:46<1:18:39,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  24%|██▍       | 969/4000 [24:47<1:18:02,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  24%|██▍       | 970/4000 [24:49<1:19:28,  1.57s/it]

train:  22%|██▏       | 8/37 [00:12<00:45,  1.58s/it]
overall:  24%|██▍       | 971/4000 [24:50<1:18:32,  1.56s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.56s/it]
overall:  24%|██▍       | 972/4000 [24:52<1:17:44,  1.54s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.54s/it]
overall:  24%|██▍       | 973/4000 [24:53<1:17:16,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  24%|██▍       | 974/4000 [24:55<1:16:53,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  24%|██▍       | 975/4000 [24:56<1:17:02,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  24%|██▍       | 976/4000 [24:58<1:16:38,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  24%|██▍       | 977/4000 [24:59<1:16:31,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  24%|██▍       | 978/4000 [25:01<1:16:28,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  24%|██▍       | 979/4000 [25:02<1:16:30,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  24%|██▍       | 980/4000 [25:04<1:16:23,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  25%|██▍       | 981/4000 [25:05<1:16:10,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  25%|██▍       | 982/4000 [25:07<1:16:28,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  25%|██▍       | 983/4000 [25:08<1:16:13,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  25%|██▍       | 984/4000 [25:10<1:16:10,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  25%|██▍       | 985/4000 [25:12<1:16:32,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  25%|██▍       | 986/4000 [25:13<1:16:10,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  25%|██▍       | 987/4000 [25:15<1:16:16,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  25%|██▍       | 988/4000 [25:16<1:16:14,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  25%|██▍       | 989/4000 [25:18<1:16:13,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  25%|██▍       | 990/4000 [25:19<1:16:05,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  25%|██▍       | 991/4000 [25:21<1:16:02,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  25%|██▍       | 992/4000 [25:22<1:15:56,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  25%|██▍       | 993/4000 [25:24<1:15:56,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  25%|██▍       | 994/4000 [25:25<1:16:13,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  25%|██▍       | 995/4000 [25:27<1:16:12,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  25%|██▍       | 996/4000 [25:28<1:15:59,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  25%|██▍       | 997/4000 [25:30<1:15:54,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  25%|██▍       | 998/4000 [25:31<1:15:54,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  25%|██▍       | 999/4000 [25:33<1:13:17,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.0601321458816528
train acc: 0.648785412311554
train loss: 1.0487217903137207
train acc: 0.6729999780654907
train loss: 1.0377984046936035
train acc: 0.6800000071525574


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  25%|██▌       | 1000/4000 [25:35<1:27:51,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.33s/it]
overall:  25%|██▌       | 1001/4000 [25:37<1:24:07,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  25%|██▌       | 1002/4000 [25:38<1:21:24,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  25%|██▌       | 1003/4000 [25:40<1:19:42,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  25%|██▌       | 1004/4000 [25:41<1:18:17,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  25%|██▌       | 1005/4000 [25:43<1:17:34,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  25%|██▌       | 1006/4000 [25:44<1:16:55,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  25%|██▌       | 1007/4000 [25:46<1:16:20,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  25%|██▌       | 1008/4000 [25:47<1:16:02,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  25%|██▌       | 1009/4000 [25:49<1:18:04,  1.57s/it]

train:  27%|██▋       | 10/37 [00:16<00:42,  1.57s/it]
overall:  25%|██▌       | 1010/4000 [25:50<1:17:14,  1.55s/it]

train:  30%|██▉       | 11/37 [00:17<00:40,  1.55s/it]
overall:  25%|██▌       | 1011/4000 [25:52<1:17:03,  1.55s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.55s/it]
overall:  25%|██▌       | 1012/4000 [25:53<1:16:42,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.54s/it]
overall:  25%|██▌       | 1013/4000 [25:55<1:16:25,  1.54s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.54s/it]
overall:  25%|██▌       | 1014/4000 [25:56<1:16:04,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  25%|██▌       | 1015/4000 [25:58<1:15:44,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  25%|██▌       | 1016/4000 [25:59<1:15:37,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  25%|██▌       | 1017/4000 [26:01<1:15:20,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  25%|██▌       | 1018/4000 [26:02<1:15:08,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  25%|██▌       | 1019/4000 [26:04<1:15:07,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  26%|██▌       | 1020/4000 [26:05<1:14:56,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  26%|██▌       | 1021/4000 [26:07<1:14:45,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  26%|██▌       | 1022/4000 [26:08<1:14:39,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  26%|██▌       | 1023/4000 [26:10<1:14:35,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  26%|██▌       | 1024/4000 [26:11<1:14:38,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  26%|██▌       | 1025/4000 [26:13<1:15:00,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  26%|██▌       | 1026/4000 [26:14<1:14:56,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  26%|██▌       | 1027/4000 [26:16<1:14:53,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  26%|██▌       | 1028/4000 [26:17<1:14:44,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  26%|██▌       | 1029/4000 [26:19<1:14:44,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  26%|██▌       | 1030/4000 [26:21<1:14:40,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  26%|██▌       | 1031/4000 [26:22<1:14:49,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  26%|██▌       | 1032/4000 [26:24<1:15:01,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  26%|██▌       | 1033/4000 [26:25<1:14:59,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  26%|██▌       | 1034/4000 [26:27<1:14:55,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  26%|██▌       | 1035/4000 [26:28<1:14:54,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  26%|██▌       | 1036/4000 [26:29<1:12:11,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 1.0292198657989502
train acc: 0.6751012206077576
train loss: 1.0092283487319946
train acc: 0.6880000233650208
train loss: 1.0094282627105713
train acc: 0.6940000057220459
train loss: 1.0450197458267212
train acc: 0.6690000295639038


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  26%|██▌       | 1037/4000 [26:32<1:25:10,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  26%|██▌       | 1038/4000 [26:33<1:22:08,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  26%|██▌       | 1039/4000 [26:35<1:19:48,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  26%|██▌       | 1040/4000 [26:36<1:18:13,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  26%|██▌       | 1041/4000 [26:38<1:17:13,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  26%|██▌       | 1042/4000 [26:39<1:16:19,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  26%|██▌       | 1043/4000 [26:41<1:15:43,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  26%|██▌       | 1044/4000 [26:42<1:15:29,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  26%|██▌       | 1045/4000 [26:44<1:15:14,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  26%|██▌       | 1046/4000 [26:45<1:15:01,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  26%|██▌       | 1047/4000 [26:47<1:14:44,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  26%|██▌       | 1048/4000 [26:48<1:14:40,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  26%|██▌       | 1049/4000 [26:50<1:14:43,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  26%|██▋       | 1050/4000 [26:51<1:14:56,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  26%|██▋       | 1051/4000 [26:53<1:14:51,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  26%|██▋       | 1052/4000 [26:55<1:14:36,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  26%|██▋       | 1053/4000 [26:56<1:14:26,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  26%|██▋       | 1054/4000 [26:58<1:14:15,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  26%|██▋       | 1055/4000 [26:59<1:14:10,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  26%|██▋       | 1056/4000 [27:01<1:14:40,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  26%|██▋       | 1057/4000 [27:02<1:14:23,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  26%|██▋       | 1058/4000 [27:04<1:14:04,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  26%|██▋       | 1059/4000 [27:05<1:14:10,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  26%|██▋       | 1060/4000 [27:07<1:14:12,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  27%|██▋       | 1061/4000 [27:08<1:14:16,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  27%|██▋       | 1062/4000 [27:10<1:14:18,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  27%|██▋       | 1063/4000 [27:11<1:14:07,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  27%|██▋       | 1064/4000 [27:13<1:14:04,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  27%|██▋       | 1065/4000 [27:14<1:14:15,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  27%|██▋       | 1066/4000 [27:16<1:14:07,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  27%|██▋       | 1067/4000 [27:17<1:13:53,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  27%|██▋       | 1068/4000 [27:19<1:13:56,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  27%|██▋       | 1069/4000 [27:20<1:13:50,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  27%|██▋       | 1070/4000 [27:22<1:13:52,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  27%|██▋       | 1071/4000 [27:23<1:13:48,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  27%|██▋       | 1072/4000 [27:25<1:13:41,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  27%|██▋       | 1073/4000 [27:26<1:11:10,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.013110637664795
train acc: 0.6993927359580994
train loss: 1.0112696886062622
train acc: 0.6729999780654907
train loss: 1.0409791469573975
train acc: 0.6740000247955322
train loss: 1.011810064315796
train acc: 0.7020000219345093


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  27%|██▋       | 1074/4000 [27:28<1:23:28,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  27%|██▋       | 1075/4000 [27:30<1:20:54,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  27%|██▋       | 1076/4000 [27:31<1:18:48,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  27%|██▋       | 1077/4000 [27:33<1:17:04,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  27%|██▋       | 1078/4000 [27:34<1:16:02,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  27%|██▋       | 1079/4000 [27:36<1:15:21,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  27%|██▋       | 1080/4000 [27:38<1:15:56,  1.56s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.57s/it]
overall:  27%|██▋       | 1081/4000 [27:39<1:15:11,  1.55s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.55s/it]
overall:  27%|██▋       | 1082/4000 [27:41<1:14:36,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.54s/it]
overall:  27%|██▋       | 1083/4000 [27:42<1:14:24,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  27%|██▋       | 1084/4000 [27:44<1:14:12,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  27%|██▋       | 1085/4000 [27:45<1:14:03,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  27%|██▋       | 1086/4000 [27:47<1:13:56,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  27%|██▋       | 1087/4000 [27:48<1:13:37,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  27%|██▋       | 1088/4000 [27:50<1:13:22,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  27%|██▋       | 1089/4000 [27:51<1:13:23,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  27%|██▋       | 1090/4000 [27:53<1:13:21,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  27%|██▋       | 1091/4000 [27:54<1:13:29,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  27%|██▋       | 1092/4000 [27:56<1:13:52,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  27%|██▋       | 1093/4000 [27:57<1:14:04,  1.53s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.53s/it]
overall:  27%|██▋       | 1094/4000 [27:59<1:14:07,  1.53s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.53s/it]
overall:  27%|██▋       | 1095/4000 [28:00<1:14:13,  1.53s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.53s/it]
overall:  27%|██▋       | 1096/4000 [28:02<1:13:53,  1.53s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.53s/it]
overall:  27%|██▋       | 1097/4000 [28:03<1:13:37,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  27%|██▋       | 1098/4000 [28:05<1:13:34,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  27%|██▋       | 1099/4000 [28:06<1:13:20,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  28%|██▊       | 1100/4000 [28:08<1:13:17,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  28%|██▊       | 1101/4000 [28:09<1:13:23,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  28%|██▊       | 1102/4000 [28:11<1:13:21,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  28%|██▊       | 1103/4000 [28:13<1:13:11,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  28%|██▊       | 1104/4000 [28:14<1:13:17,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  28%|██▊       | 1105/4000 [28:16<1:13:15,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  28%|██▊       | 1106/4000 [28:17<1:13:12,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  28%|██▊       | 1107/4000 [28:19<1:13:02,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  28%|██▊       | 1108/4000 [28:20<1:12:45,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  28%|██▊       | 1109/4000 [28:22<1:12:50,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  28%|██▊       | 1110/4000 [28:23<1:10:21,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.96992027759552
train acc: 0.6963562965393066
train loss: 0.9961398243904114
train acc: 0.6909999847412109
train loss: 1.0421769618988037
train acc: 0.6850000023841858
train loss: 1.0319530963897705
train acc: 0.6609311699867249


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  28%|██▊       | 1111/4000 [28:25<1:22:56,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  28%|██▊       | 1112/4000 [28:27<1:20:21,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  28%|██▊       | 1113/4000 [28:28<1:18:29,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  28%|██▊       | 1114/4000 [28:30<1:16:50,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  28%|██▊       | 1115/4000 [28:31<1:15:49,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  28%|██▊       | 1116/4000 [28:33<1:15:04,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  28%|██▊       | 1117/4000 [28:34<1:14:28,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  28%|██▊       | 1118/4000 [28:36<1:14:01,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  28%|██▊       | 1119/4000 [28:37<1:13:28,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  28%|██▊       | 1120/4000 [28:39<1:13:11,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  28%|██▊       | 1121/4000 [28:41<1:13:03,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  28%|██▊       | 1122/4000 [28:42<1:12:57,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  28%|██▊       | 1123/4000 [28:44<1:12:53,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  28%|██▊       | 1124/4000 [28:45<1:12:40,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  28%|██▊       | 1125/4000 [28:47<1:12:38,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  28%|██▊       | 1126/4000 [28:48<1:12:41,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  28%|██▊       | 1127/4000 [28:50<1:12:39,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  28%|██▊       | 1128/4000 [28:51<1:12:54,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  28%|██▊       | 1129/4000 [28:53<1:12:41,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  28%|██▊       | 1130/4000 [28:54<1:13:05,  1.53s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.53s/it]
overall:  28%|██▊       | 1131/4000 [28:56<1:12:49,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  28%|██▊       | 1132/4000 [28:57<1:12:38,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  28%|██▊       | 1133/4000 [28:59<1:12:30,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  28%|██▊       | 1134/4000 [29:00<1:12:41,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  28%|██▊       | 1135/4000 [29:02<1:13:03,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  28%|██▊       | 1136/4000 [29:03<1:12:53,  1.53s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.53s/it]
overall:  28%|██▊       | 1137/4000 [29:05<1:12:37,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  28%|██▊       | 1138/4000 [29:06<1:12:25,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  28%|██▊       | 1139/4000 [29:08<1:12:18,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  28%|██▊       | 1140/4000 [29:09<1:12:13,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  29%|██▊       | 1141/4000 [29:11<1:12:11,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  29%|██▊       | 1142/4000 [29:12<1:12:11,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  29%|██▊       | 1143/4000 [29:14<1:12:03,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  29%|██▊       | 1144/4000 [29:15<1:11:59,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  29%|██▊       | 1145/4000 [29:17<1:11:55,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  29%|██▊       | 1146/4000 [29:18<1:11:49,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  29%|██▊       | 1147/4000 [29:20<1:09:24,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.9996530413627625
train acc: 0.6639999747276306
train loss: 0.9859023094177246
train acc: 0.6940000057220459
train loss: 1.0251691341400146
train acc: 0.6740000247955322


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  29%|██▊       | 1148/4000 [29:22<1:21:45,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  29%|██▊       | 1149/4000 [29:24<1:18:37,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  29%|██▉       | 1150/4000 [29:25<1:16:55,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  29%|██▉       | 1151/4000 [29:27<1:16:17,  1.61s/it]

train:  11%|█         | 4/37 [00:06<00:54,  1.64s/it]
overall:  29%|██▉       | 1152/4000 [29:28<1:14:46,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  29%|██▉       | 1153/4000 [29:30<1:13:41,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  29%|██▉       | 1154/4000 [29:31<1:12:52,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  29%|██▉       | 1155/4000 [29:33<1:12:26,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  29%|██▉       | 1156/4000 [29:34<1:12:07,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  29%|██▉       | 1157/4000 [29:36<1:11:53,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  29%|██▉       | 1158/4000 [29:37<1:11:40,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  29%|██▉       | 1159/4000 [29:39<1:11:27,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  29%|██▉       | 1160/4000 [29:40<1:11:58,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  29%|██▉       | 1161/4000 [29:42<1:11:54,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  29%|██▉       | 1162/4000 [29:43<1:11:40,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  29%|██▉       | 1163/4000 [29:45<1:11:32,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  29%|██▉       | 1164/4000 [29:46<1:11:29,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  29%|██▉       | 1165/4000 [29:48<1:11:33,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  29%|██▉       | 1166/4000 [29:49<1:11:40,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  29%|██▉       | 1167/4000 [29:51<1:11:36,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  29%|██▉       | 1168/4000 [29:52<1:11:35,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  29%|██▉       | 1169/4000 [29:54<1:11:40,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  29%|██▉       | 1170/4000 [29:55<1:11:29,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  29%|██▉       | 1171/4000 [29:57<1:11:27,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  29%|██▉       | 1172/4000 [29:59<1:11:49,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  29%|██▉       | 1173/4000 [30:00<1:11:27,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  29%|██▉       | 1174/4000 [30:02<1:11:20,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  29%|██▉       | 1175/4000 [30:03<1:11:07,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  29%|██▉       | 1176/4000 [30:05<1:11:09,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  29%|██▉       | 1177/4000 [30:06<1:10:58,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  29%|██▉       | 1178/4000 [30:08<1:10:54,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  29%|██▉       | 1179/4000 [30:09<1:10:46,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  30%|██▉       | 1180/4000 [30:11<1:10:52,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  30%|██▉       | 1181/4000 [30:12<1:11:03,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  30%|██▉       | 1182/4000 [30:14<1:10:51,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  30%|██▉       | 1183/4000 [30:15<1:10:47,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  30%|██▉       | 1184/4000 [30:16<1:08:18,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.9458945989608765
train acc: 0.6973684430122375
train loss: 0.9986852407455444
train acc: 0.6729999780654907
train loss: 0.9589269757270813
train acc: 0.7210000157356262
train loss: 1.0131096839904785
train acc: 0.6869999766349792


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  30%|██▉       | 1185/4000 [30:19<1:20:11,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  30%|██▉       | 1186/4000 [30:20<1:18:20,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  30%|██▉       | 1187/4000 [30:22<1:16:43,  1.64s/it]

train:   8%|▊         | 3/37 [00:05<00:58,  1.71s/it]
overall:  30%|██▉       | 1188/4000 [30:23<1:15:00,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  30%|██▉       | 1189/4000 [30:25<1:13:37,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  30%|██▉       | 1190/4000 [30:26<1:12:50,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  30%|██▉       | 1191/4000 [30:28<1:12:16,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  30%|██▉       | 1192/4000 [30:29<1:11:55,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  30%|██▉       | 1193/4000 [30:31<1:11:24,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  30%|██▉       | 1194/4000 [30:32<1:11:10,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  30%|██▉       | 1195/4000 [30:34<1:11:12,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  30%|██▉       | 1196/4000 [30:36<1:11:23,  1.53s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.53s/it]
overall:  30%|██▉       | 1197/4000 [30:37<1:12:09,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:37,  1.54s/it]
overall:  30%|██▉       | 1198/4000 [30:39<1:11:48,  1.54s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.54s/it]
overall:  30%|██▉       | 1199/4000 [30:40<1:11:25,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  30%|███       | 1200/4000 [30:42<1:11:09,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.53s/it]
overall:  30%|███       | 1201/4000 [30:43<1:11:15,  1.53s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.53s/it]
overall:  30%|███       | 1202/4000 [30:45<1:10:59,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  30%|███       | 1203/4000 [30:46<1:10:47,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  30%|███       | 1204/4000 [30:48<1:10:41,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  30%|███       | 1205/4000 [30:49<1:10:35,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  30%|███       | 1206/4000 [30:51<1:10:33,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  30%|███       | 1207/4000 [30:52<1:10:45,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  30%|███       | 1208/4000 [30:54<1:10:43,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  30%|███       | 1209/4000 [30:55<1:11:13,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  30%|███       | 1210/4000 [30:57<1:11:00,  1.53s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.53s/it]
overall:  30%|███       | 1211/4000 [30:58<1:10:39,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  30%|███       | 1212/4000 [31:00<1:10:28,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  30%|███       | 1213/4000 [31:01<1:10:20,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  30%|███       | 1214/4000 [31:03<1:10:07,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  30%|███       | 1215/4000 [31:04<1:10:13,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  30%|███       | 1216/4000 [31:06<1:10:15,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  30%|███       | 1217/4000 [31:07<1:10:06,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  30%|███       | 1218/4000 [31:09<1:10:04,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  30%|███       | 1219/4000 [31:10<1:10:02,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  30%|███       | 1220/4000 [31:12<1:10:05,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  31%|███       | 1221/4000 [31:13<1:07:39,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.9699414968490601
train acc: 0.7004048824310303
train loss: 0.9932788610458374
train acc: 0.6990000009536743
train loss: 0.9764094352722168
train acc: 0.699999988079071
train loss: 0.958682656288147
train acc: 0.703000009059906


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  31%|███       | 1222/4000 [31:16<1:21:09,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  31%|███       | 1223/4000 [31:17<1:17:56,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  31%|███       | 1224/4000 [31:19<1:15:36,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  31%|███       | 1225/4000 [31:20<1:13:57,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  31%|███       | 1226/4000 [31:22<1:12:44,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  31%|███       | 1227/4000 [31:23<1:12:05,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  31%|███       | 1228/4000 [31:25<1:11:23,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  31%|███       | 1229/4000 [31:26<1:10:51,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  31%|███       | 1230/4000 [31:28<1:10:24,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  31%|███       | 1231/4000 [31:29<1:10:12,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  31%|███       | 1232/4000 [31:31<1:10:11,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  31%|███       | 1233/4000 [31:32<1:09:59,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  31%|███       | 1234/4000 [31:34<1:10:05,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  31%|███       | 1235/4000 [31:35<1:09:50,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  31%|███       | 1236/4000 [31:37<1:09:44,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  31%|███       | 1237/4000 [31:38<1:09:57,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  31%|███       | 1238/4000 [31:40<1:09:53,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  31%|███       | 1239/4000 [31:42<1:09:49,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  31%|███       | 1240/4000 [31:43<1:10:00,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  31%|███       | 1241/4000 [31:45<1:10:04,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  31%|███       | 1242/4000 [31:46<1:10:24,  1.53s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.53s/it]
overall:  31%|███       | 1243/4000 [31:48<1:10:06,  1.53s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.53s/it]
overall:  31%|███       | 1244/4000 [31:49<1:09:53,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  31%|███       | 1245/4000 [31:51<1:09:55,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  31%|███       | 1246/4000 [31:52<1:10:00,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  31%|███       | 1247/4000 [31:54<1:09:44,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  31%|███       | 1248/4000 [31:55<1:09:27,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  31%|███       | 1249/4000 [31:57<1:09:19,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  31%|███▏      | 1250/4000 [31:58<1:09:12,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  31%|███▏      | 1251/4000 [32:00<1:09:19,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  31%|███▏      | 1252/4000 [32:01<1:09:28,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  31%|███▏      | 1253/4000 [32:03<1:09:15,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  31%|███▏      | 1254/4000 [32:04<1:09:12,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  31%|███▏      | 1255/4000 [32:06<1:09:22,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  31%|███▏      | 1256/4000 [32:07<1:09:16,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  31%|███▏      | 1257/4000 [32:09<1:09:15,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  31%|███▏      | 1258/4000 [32:10<1:06:57,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.9705864787101746
train acc: 0.6993927359580994
train loss: 0.9417077302932739
train acc: 0.7049999833106995
train loss: 0.96416836977005
train acc: 0.7009999752044678


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  31%|███▏      | 1259/4000 [32:13<1:20:16,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  32%|███▏      | 1260/4000 [32:14<1:16:52,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  32%|███▏      | 1261/4000 [32:16<1:14:37,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  32%|███▏      | 1262/4000 [32:17<1:12:52,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  32%|███▏      | 1263/4000 [32:19<1:11:41,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  32%|███▏      | 1264/4000 [32:20<1:10:47,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  32%|███▏      | 1265/4000 [32:22<1:10:14,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  32%|███▏      | 1266/4000 [32:23<1:09:58,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  32%|███▏      | 1267/4000 [32:25<1:09:26,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  32%|███▏      | 1268/4000 [32:26<1:09:13,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  32%|███▏      | 1269/4000 [32:28<1:09:05,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  32%|███▏      | 1270/4000 [32:29<1:09:06,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  32%|███▏      | 1271/4000 [32:31<1:09:01,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  32%|███▏      | 1272/4000 [32:32<1:08:47,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  32%|███▏      | 1273/4000 [32:34<1:08:52,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  32%|███▏      | 1274/4000 [32:35<1:08:51,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  32%|███▏      | 1275/4000 [32:37<1:09:13,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  32%|███▏      | 1276/4000 [32:38<1:09:02,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  32%|███▏      | 1277/4000 [32:40<1:08:58,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  32%|███▏      | 1278/4000 [32:41<1:08:48,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  32%|███▏      | 1279/4000 [32:43<1:08:44,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  32%|███▏      | 1280/4000 [32:45<1:10:21,  1.55s/it]

train:  59%|█████▉    | 22/37 [00:34<00:23,  1.55s/it]
overall:  32%|███▏      | 1281/4000 [32:46<1:09:48,  1.54s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.54s/it]
overall:  32%|███▏      | 1282/4000 [32:48<1:09:21,  1.53s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.53s/it]
overall:  32%|███▏      | 1283/4000 [32:49<1:09:19,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  32%|███▏      | 1284/4000 [32:51<1:08:59,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  32%|███▏      | 1285/4000 [32:52<1:08:55,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  32%|███▏      | 1286/4000 [32:54<1:09:16,  1.53s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.53s/it]
overall:  32%|███▏      | 1287/4000 [32:55<1:08:55,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  32%|███▏      | 1288/4000 [32:57<1:08:35,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  32%|███▏      | 1289/4000 [32:58<1:08:33,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  32%|███▏      | 1290/4000 [33:00<1:08:31,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  32%|███▏      | 1291/4000 [33:01<1:08:34,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  32%|███▏      | 1292/4000 [33:03<1:08:19,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  32%|███▏      | 1293/4000 [33:04<1:08:16,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  32%|███▏      | 1294/4000 [33:06<1:08:07,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  32%|███▏      | 1295/4000 [33:07<1:05:49,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.9824835062026978
train acc: 0.6912955641746521
train loss: 0.9705902934074402
train acc: 0.7009999752044678
train loss: 0.9292682409286499
train acc: 0.7139999866485596
train loss: 0.9521715044975281
train acc: 0.7039999961853027


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  32%|███▏      | 1296/4000 [33:10<1:19:37,  1.77s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.38s/it]
overall:  32%|███▏      | 1297/4000 [33:11<1:16:03,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.87s/it]
overall:  32%|███▏      | 1298/4000 [33:13<1:13:33,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  32%|███▏      | 1299/4000 [33:14<1:11:53,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  32%|███▎      | 1300/4000 [33:16<1:10:45,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  33%|███▎      | 1301/4000 [33:17<1:09:53,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  33%|███▎      | 1302/4000 [33:19<1:09:09,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  33%|███▎      | 1303/4000 [33:20<1:08:51,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  33%|███▎      | 1304/4000 [33:22<1:08:33,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  33%|███▎      | 1305/4000 [33:23<1:08:18,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  33%|███▎      | 1306/4000 [33:25<1:08:16,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  33%|███▎      | 1307/4000 [33:26<1:08:10,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:37,  1.52s/it]
overall:  33%|███▎      | 1308/4000 [33:28<1:08:28,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  33%|███▎      | 1309/4000 [33:29<1:08:07,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  33%|███▎      | 1310/4000 [33:31<1:07:51,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  33%|███▎      | 1311/4000 [33:32<1:07:44,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  33%|███▎      | 1312/4000 [33:34<1:07:45,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  33%|███▎      | 1313/4000 [33:35<1:07:43,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  33%|███▎      | 1314/4000 [33:37<1:07:38,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  33%|███▎      | 1315/4000 [33:38<1:07:41,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  33%|███▎      | 1316/4000 [33:40<1:07:41,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  33%|███▎      | 1317/4000 [33:41<1:07:42,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  33%|███▎      | 1318/4000 [33:43<1:07:33,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  33%|███▎      | 1319/4000 [33:44<1:07:40,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  33%|███▎      | 1320/4000 [33:46<1:07:56,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  33%|███▎      | 1321/4000 [33:47<1:07:50,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  33%|███▎      | 1322/4000 [33:49<1:07:38,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  33%|███▎      | 1323/4000 [33:50<1:07:43,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  33%|███▎      | 1324/4000 [33:52<1:07:30,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  33%|███▎      | 1325/4000 [33:53<1:07:18,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  33%|███▎      | 1326/4000 [33:55<1:07:15,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  33%|███▎      | 1327/4000 [33:56<1:07:20,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  33%|███▎      | 1328/4000 [33:58<1:07:11,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  33%|███▎      | 1329/4000 [34:00<1:07:20,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  33%|███▎      | 1330/4000 [34:01<1:07:20,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  33%|███▎      | 1331/4000 [34:03<1:07:23,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  33%|███▎      | 1332/4000 [34:04<1:04:55,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.9450847506523132
train acc: 0.6973684430122375
train loss: 0.9898169636726379
train acc: 0.6700000166893005
train loss: 0.9193019866943359
train acc: 0.7099999785423279
train loss: 0.9393650889396667
train acc: 0.7149999737739563


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  33%|███▎      | 1333/4000 [34:06<1:16:16,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  33%|███▎      | 1334/4000 [34:08<1:13:48,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  33%|███▎      | 1335/4000 [34:09<1:11:42,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  33%|███▎      | 1336/4000 [34:11<1:10:17,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  33%|███▎      | 1337/4000 [34:12<1:09:14,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  33%|███▎      | 1338/4000 [34:14<1:08:38,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  33%|███▎      | 1339/4000 [34:15<1:08:17,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  34%|███▎      | 1340/4000 [34:17<1:08:00,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  34%|███▎      | 1341/4000 [34:18<1:07:47,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  34%|███▎      | 1342/4000 [34:20<1:07:25,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  34%|███▎      | 1343/4000 [34:21<1:07:15,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  34%|███▎      | 1344/4000 [34:23<1:07:15,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  34%|███▎      | 1345/4000 [34:24<1:07:44,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  34%|███▎      | 1346/4000 [34:26<1:07:33,  1.53s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.53s/it]
overall:  34%|███▎      | 1347/4000 [34:27<1:07:15,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  34%|███▎      | 1348/4000 [34:29<1:07:12,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  34%|███▎      | 1349/4000 [34:30<1:07:01,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  34%|███▍      | 1350/4000 [34:32<1:06:51,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  34%|███▍      | 1351/4000 [34:34<1:06:53,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  34%|███▍      | 1352/4000 [34:35<1:06:42,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  34%|███▍      | 1353/4000 [34:37<1:06:39,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  34%|███▍      | 1354/4000 [34:38<1:06:42,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  34%|███▍      | 1355/4000 [34:40<1:06:39,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  34%|███▍      | 1356/4000 [34:41<1:06:28,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  34%|███▍      | 1357/4000 [34:43<1:06:41,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  34%|███▍      | 1358/4000 [34:44<1:06:48,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  34%|███▍      | 1359/4000 [34:46<1:06:40,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  34%|███▍      | 1360/4000 [34:47<1:06:44,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  34%|███▍      | 1361/4000 [34:49<1:06:53,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  34%|███▍      | 1362/4000 [34:50<1:06:41,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  34%|███▍      | 1363/4000 [34:52<1:06:49,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  34%|███▍      | 1364/4000 [34:53<1:06:39,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  34%|███▍      | 1365/4000 [34:55<1:06:41,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  34%|███▍      | 1366/4000 [34:56<1:06:35,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  34%|███▍      | 1367/4000 [34:58<1:06:29,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  34%|███▍      | 1368/4000 [34:59<1:06:31,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  34%|███▍      | 1369/4000 [35:01<1:04:13,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.9233819842338562
train acc: 0.7216598987579346
train loss: 0.9666237831115723
train acc: 0.6959999799728394
train loss: 0.9478511810302734
train acc: 0.6970000267028809


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  34%|███▍      | 1370/4000 [35:03<1:16:50,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  34%|███▍      | 1371/4000 [35:05<1:13:41,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  34%|███▍      | 1372/4000 [35:06<1:11:27,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  34%|███▍      | 1373/4000 [35:08<1:09:49,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  34%|███▍      | 1374/4000 [35:09<1:08:53,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  34%|███▍      | 1375/4000 [35:11<1:08:00,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  34%|███▍      | 1376/4000 [35:12<1:07:31,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  34%|███▍      | 1377/4000 [35:14<1:07:11,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  34%|███▍      | 1378/4000 [35:15<1:06:48,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  34%|███▍      | 1379/4000 [35:17<1:06:30,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  34%|███▍      | 1380/4000 [35:18<1:06:21,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  35%|███▍      | 1381/4000 [35:20<1:06:40,  1.53s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.53s/it]
overall:  35%|███▍      | 1382/4000 [35:21<1:06:33,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  35%|███▍      | 1383/4000 [35:23<1:06:18,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  35%|███▍      | 1384/4000 [35:24<1:06:06,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  35%|███▍      | 1385/4000 [35:26<1:05:55,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  35%|███▍      | 1386/4000 [35:27<1:05:51,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  35%|███▍      | 1387/4000 [35:29<1:06:00,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  35%|███▍      | 1388/4000 [35:30<1:06:08,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  35%|███▍      | 1389/4000 [35:32<1:06:02,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  35%|███▍      | 1390/4000 [35:33<1:05:57,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  35%|███▍      | 1391/4000 [35:35<1:06:07,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  35%|███▍      | 1392/4000 [35:36<1:05:57,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  35%|███▍      | 1393/4000 [35:38<1:05:51,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  35%|███▍      | 1394/4000 [35:39<1:05:47,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  35%|███▍      | 1395/4000 [35:41<1:05:52,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  35%|███▍      | 1396/4000 [35:42<1:05:43,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  35%|███▍      | 1397/4000 [35:44<1:05:37,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  35%|███▍      | 1398/4000 [35:45<1:05:41,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  35%|███▍      | 1399/4000 [35:47<1:05:34,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  35%|███▌      | 1400/4000 [35:49<1:05:45,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  35%|███▌      | 1401/4000 [35:50<1:05:35,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  35%|███▌      | 1402/4000 [35:52<1:05:27,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  35%|███▌      | 1403/4000 [35:53<1:05:25,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  35%|███▌      | 1404/4000 [35:55<1:05:13,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  35%|███▌      | 1405/4000 [35:56<1:06:57,  1.55s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.55s/it]
overall:  35%|███▌      | 1406/4000 [35:58<1:04:13,  1.49s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.49s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.9395305514335632
train acc: 0.703441321849823
train loss: 0.9699199795722961
train acc: 0.671999990940094
train loss: 0.9225164651870728
train acc: 0.7039999961853027
train loss: 0.9198528528213501
train acc: 0.7059999704360962


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  35%|███▌      | 1407/4000 [36:00<1:14:57,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  35%|███▌      | 1408/4000 [36:01<1:12:09,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  35%|███▌      | 1409/4000 [36:03<1:10:07,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  35%|███▌      | 1410/4000 [36:04<1:08:34,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  35%|███▌      | 1411/4000 [36:06<1:07:35,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  35%|███▌      | 1412/4000 [36:07<1:06:44,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  35%|███▌      | 1413/4000 [36:09<1:06:24,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  35%|███▌      | 1414/4000 [36:10<1:06:01,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  35%|███▌      | 1415/4000 [36:12<1:05:45,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  35%|███▌      | 1416/4000 [36:13<1:05:33,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  35%|███▌      | 1417/4000 [36:15<1:05:44,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  35%|███▌      | 1418/4000 [36:17<1:05:36,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  35%|███▌      | 1419/4000 [36:18<1:05:39,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  36%|███▌      | 1420/4000 [36:20<1:05:27,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  36%|███▌      | 1421/4000 [36:21<1:05:26,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  36%|███▌      | 1422/4000 [36:23<1:05:14,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  36%|███▌      | 1423/4000 [36:24<1:04:59,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  36%|███▌      | 1424/4000 [36:26<1:04:46,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  36%|███▌      | 1425/4000 [36:27<1:04:53,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  36%|███▌      | 1426/4000 [36:29<1:04:42,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  36%|███▌      | 1427/4000 [36:30<1:04:43,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  36%|███▌      | 1428/4000 [36:32<1:04:41,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  36%|███▌      | 1429/4000 [36:33<1:04:38,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  36%|███▌      | 1430/4000 [36:35<1:04:38,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  36%|███▌      | 1431/4000 [36:36<1:04:46,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  36%|███▌      | 1432/4000 [36:38<1:04:47,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  36%|███▌      | 1433/4000 [36:39<1:04:50,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  36%|███▌      | 1434/4000 [36:41<1:04:39,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  36%|███▌      | 1435/4000 [36:42<1:04:31,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  36%|███▌      | 1436/4000 [36:44<1:04:27,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  36%|███▌      | 1437/4000 [36:45<1:04:25,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  36%|███▌      | 1438/4000 [36:47<1:04:30,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  36%|███▌      | 1439/4000 [36:48<1:04:30,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  36%|███▌      | 1440/4000 [36:50<1:04:33,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  36%|███▌      | 1441/4000 [36:51<1:04:35,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  36%|███▌      | 1442/4000 [36:53<1:04:29,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  36%|███▌      | 1443/4000 [36:54<1:02:31,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8839109539985657
train acc: 0.7307692170143127
train loss: 0.9229893684387207
train acc: 0.722000002861023
train loss: 0.9444073438644409
train acc: 0.7099999785423279
train loss: 0.9130295515060425
train acc: 0.7179999947547913


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  36%|███▌      | 1444/4000 [36:56<1:13:40,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  36%|███▌      | 1445/4000 [36:58<1:10:53,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  36%|███▌      | 1446/4000 [37:00<1:08:52,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  36%|███▌      | 1447/4000 [37:01<1:07:31,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  36%|███▌      | 1448/4000 [37:03<1:06:35,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  36%|███▌      | 1449/4000 [37:04<1:05:53,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  36%|███▋      | 1450/4000 [37:06<1:05:25,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  36%|███▋      | 1451/4000 [37:07<1:05:06,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  36%|███▋      | 1452/4000 [37:09<1:04:52,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  36%|███▋      | 1453/4000 [37:10<1:05:18,  1.54s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.54s/it]
overall:  36%|███▋      | 1454/4000 [37:12<1:04:58,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  36%|███▋      | 1455/4000 [37:13<1:04:41,  1.53s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.53s/it]
overall:  36%|███▋      | 1456/4000 [37:15<1:05:02,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  36%|███▋      | 1457/4000 [37:16<1:04:47,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  36%|███▋      | 1458/4000 [37:18<1:04:29,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  36%|███▋      | 1459/4000 [37:19<1:04:16,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  36%|███▋      | 1460/4000 [37:21<1:04:04,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  37%|███▋      | 1461/4000 [37:22<1:03:54,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  37%|███▋      | 1462/4000 [37:24<1:03:47,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  37%|███▋      | 1463/4000 [37:25<1:03:50,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  37%|███▋      | 1464/4000 [37:27<1:03:42,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  37%|███▋      | 1465/4000 [37:28<1:03:40,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  37%|███▋      | 1466/4000 [37:30<1:03:36,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  37%|███▋      | 1467/4000 [37:31<1:03:38,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  37%|███▋      | 1468/4000 [37:33<1:03:43,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  37%|███▋      | 1469/4000 [37:34<1:03:45,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  37%|███▋      | 1470/4000 [37:36<1:03:51,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  37%|███▋      | 1471/4000 [37:37<1:03:56,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  37%|███▋      | 1472/4000 [37:39<1:03:52,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  37%|███▋      | 1473/4000 [37:40<1:03:45,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  37%|███▋      | 1474/4000 [37:42<1:03:47,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  37%|███▋      | 1475/4000 [37:43<1:03:48,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  37%|███▋      | 1476/4000 [37:45<1:03:48,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  37%|███▋      | 1477/4000 [37:47<1:03:53,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  37%|███▋      | 1478/4000 [37:48<1:03:43,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  37%|███▋      | 1479/4000 [37:50<1:03:39,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  37%|███▋      | 1480/4000 [37:51<1:01:25,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.9348999261856079
train acc: 0.7125505805015564
train loss: 0.9167753458023071
train acc: 0.7110000252723694
train loss: 0.8956001400947571
train acc: 0.7160000205039978
train loss: 0.9297405481338501
train acc: 0.6983805894851685


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  37%|███▋      | 1481/4000 [37:53<1:14:04,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.37s/it]
overall:  37%|███▋      | 1482/4000 [37:55<1:10:55,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.87s/it]
overall:  37%|███▋      | 1483/4000 [37:56<1:09:03,  1.65s/it]

train:   8%|▊         | 3/37 [00:05<00:58,  1.72s/it]
overall:  37%|███▋      | 1484/4000 [37:58<1:07:13,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  37%|███▋      | 1485/4000 [37:59<1:06:02,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  37%|███▋      | 1486/4000 [38:01<1:05:10,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  37%|███▋      | 1487/4000 [38:02<1:04:36,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  37%|███▋      | 1488/4000 [38:04<1:04:13,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  37%|███▋      | 1489/4000 [38:05<1:04:08,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  37%|███▋      | 1490/4000 [38:07<1:03:58,  1.53s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.53s/it]
overall:  37%|███▋      | 1491/4000 [38:09<1:04:07,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  37%|███▋      | 1492/4000 [38:10<1:03:56,  1.53s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.53s/it]
overall:  37%|███▋      | 1493/4000 [38:12<1:03:56,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  37%|███▋      | 1494/4000 [38:13<1:03:44,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  37%|███▋      | 1495/4000 [38:15<1:03:50,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  37%|███▋      | 1496/4000 [38:16<1:03:30,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  37%|███▋      | 1497/4000 [38:18<1:03:19,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  37%|███▋      | 1498/4000 [38:19<1:03:15,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  37%|███▋      | 1499/4000 [38:21<1:03:07,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  38%|███▊      | 1500/4000 [38:22<1:03:12,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  38%|███▊      | 1501/4000 [38:24<1:03:14,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  38%|███▊      | 1502/4000 [38:25<1:03:11,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  38%|███▊      | 1503/4000 [38:27<1:03:00,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  38%|███▊      | 1504/4000 [38:28<1:03:01,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  38%|███▊      | 1505/4000 [38:30<1:02:51,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  38%|███▊      | 1506/4000 [38:31<1:02:53,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  38%|███▊      | 1507/4000 [38:33<1:02:59,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  38%|███▊      | 1508/4000 [38:34<1:02:55,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  38%|███▊      | 1509/4000 [38:36<1:02:50,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  38%|███▊      | 1510/4000 [38:37<1:02:48,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  38%|███▊      | 1511/4000 [38:39<1:02:52,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  38%|███▊      | 1512/4000 [38:40<1:02:49,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  38%|███▊      | 1513/4000 [38:42<1:02:41,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  38%|███▊      | 1514/4000 [38:43<1:02:41,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  38%|███▊      | 1515/4000 [38:45<1:02:37,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  38%|███▊      | 1516/4000 [38:46<1:02:38,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  38%|███▊      | 1517/4000 [38:48<1:00:41,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.9149225950241089
train acc: 0.6990000009536743
train loss: 0.9375089406967163
train acc: 0.7049999833106995
train loss: 0.8939736485481262
train acc: 0.7329999804496765


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  38%|███▊      | 1518/4000 [38:50<1:12:00,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.26s/it]
overall:  38%|███▊      | 1519/4000 [38:52<1:08:57,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  38%|███▊      | 1520/4000 [38:53<1:07:07,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  38%|███▊      | 1521/4000 [38:55<1:05:54,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  38%|███▊      | 1522/4000 [38:56<1:04:51,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  38%|███▊      | 1523/4000 [38:58<1:04:03,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  38%|███▊      | 1524/4000 [38:59<1:03:26,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  38%|███▊      | 1525/4000 [39:01<1:03:12,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  38%|███▊      | 1526/4000 [39:02<1:02:51,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  38%|███▊      | 1527/4000 [39:04<1:03:00,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  38%|███▊      | 1528/4000 [39:05<1:02:59,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  38%|███▊      | 1529/4000 [39:07<1:02:45,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  38%|███▊      | 1530/4000 [39:08<1:02:52,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  38%|███▊      | 1531/4000 [39:10<1:02:29,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  38%|███▊      | 1532/4000 [39:11<1:02:28,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  38%|███▊      | 1533/4000 [39:13<1:02:21,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  38%|███▊      | 1534/4000 [39:14<1:02:18,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  38%|███▊      | 1535/4000 [39:16<1:02:12,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  38%|███▊      | 1536/4000 [39:17<1:02:05,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  38%|███▊      | 1537/4000 [39:19<1:02:01,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  38%|███▊      | 1538/4000 [39:20<1:02:10,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  38%|███▊      | 1539/4000 [39:22<1:02:07,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  38%|███▊      | 1540/4000 [39:24<1:02:07,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  39%|███▊      | 1541/4000 [39:25<1:02:15,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  39%|███▊      | 1542/4000 [39:27<1:02:21,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  39%|███▊      | 1543/4000 [39:28<1:02:18,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  39%|███▊      | 1544/4000 [39:30<1:02:21,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  39%|███▊      | 1545/4000 [39:31<1:02:28,  1.53s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.53s/it]
overall:  39%|███▊      | 1546/4000 [39:33<1:02:13,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  39%|███▊      | 1547/4000 [39:34<1:02:02,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  39%|███▊      | 1548/4000 [39:36<1:01:54,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  39%|███▊      | 1549/4000 [39:37<1:01:48,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  39%|███▉      | 1550/4000 [39:39<1:01:48,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  39%|███▉      | 1551/4000 [39:40<1:01:46,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  39%|███▉      | 1552/4000 [39:42<1:01:35,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  39%|███▉      | 1553/4000 [39:43<1:01:30,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  39%|███▉      | 1554/4000 [39:45<59:24,  1.46s/it]  

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8779325485229492
train acc: 0.7236841917037964
train loss: 0.914010226726532
train acc: 0.7120000123977661
train loss: 0.8770896196365356
train acc: 0.7170000076293945
train loss: 0.9272729754447937
train acc: 0.7149999737739563


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  39%|███▉      | 1555/4000 [39:47<1:11:34,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  39%|███▉      | 1556/4000 [39:49<1:08:26,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  39%|███▉      | 1557/4000 [39:50<1:06:23,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  39%|███▉      | 1558/4000 [39:52<1:04:59,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  39%|███▉      | 1559/4000 [39:53<1:04:02,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  39%|███▉      | 1560/4000 [39:55<1:03:20,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  39%|███▉      | 1561/4000 [39:56<1:03:03,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.56s/it]
overall:  39%|███▉      | 1562/4000 [39:58<1:02:42,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.55s/it]
overall:  39%|███▉      | 1563/4000 [39:59<1:02:26,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  39%|███▉      | 1564/4000 [40:01<1:02:08,  1.53s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.53s/it]
overall:  39%|███▉      | 1565/4000 [40:02<1:01:46,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  39%|███▉      | 1566/4000 [40:04<1:01:39,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.52s/it]
overall:  39%|███▉      | 1567/4000 [40:05<1:01:37,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  39%|███▉      | 1568/4000 [40:07<1:01:37,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  39%|███▉      | 1569/4000 [40:08<1:01:34,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  39%|███▉      | 1570/4000 [40:10<1:01:26,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  39%|███▉      | 1571/4000 [40:11<1:01:19,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  39%|███▉      | 1572/4000 [40:13<1:01:21,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  39%|███▉      | 1573/4000 [40:14<1:01:19,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  39%|███▉      | 1574/4000 [40:16<1:01:14,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  39%|███▉      | 1575/4000 [40:17<1:01:21,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  39%|███▉      | 1576/4000 [40:19<1:01:19,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  39%|███▉      | 1577/4000 [40:20<1:01:17,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  39%|███▉      | 1578/4000 [40:22<1:01:14,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  39%|███▉      | 1579/4000 [40:23<1:01:29,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  40%|███▉      | 1580/4000 [40:25<1:01:43,  1.53s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.53s/it]
overall:  40%|███▉      | 1581/4000 [40:27<1:01:29,  1.53s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.53s/it]
overall:  40%|███▉      | 1582/4000 [40:28<1:01:19,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  40%|███▉      | 1583/4000 [40:30<1:01:06,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  40%|███▉      | 1584/4000 [40:31<1:00:57,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  40%|███▉      | 1585/4000 [40:33<1:00:54,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  40%|███▉      | 1586/4000 [40:34<1:00:56,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  40%|███▉      | 1587/4000 [40:36<1:01:04,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  40%|███▉      | 1588/4000 [40:37<1:01:00,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  40%|███▉      | 1589/4000 [40:39<1:00:53,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  40%|███▉      | 1590/4000 [40:40<1:00:45,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  40%|███▉      | 1591/4000 [40:41<58:57,  1.47s/it]  

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.9302837252616882
train acc: 0.7145748734474182
train loss: 0.9200446009635925
train acc: 0.7070000171661377
train loss: 0.9010186195373535
train acc: 0.7080000042915344
train loss: 0.8609470129013062
train acc: 0.7390000224113464


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  40%|███▉      | 1592/4000 [40:44<1:08:54,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  40%|███▉      | 1593/4000 [40:45<1:06:16,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  40%|███▉      | 1594/4000 [40:47<1:04:29,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  40%|███▉      | 1595/4000 [40:48<1:03:29,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  40%|███▉      | 1596/4000 [40:50<1:02:49,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  40%|███▉      | 1597/4000 [40:51<1:02:47,  1.57s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  40%|███▉      | 1598/4000 [40:53<1:02:03,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  40%|███▉      | 1599/4000 [40:54<1:01:30,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  40%|████      | 1600/4000 [40:56<1:01:14,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  40%|████      | 1601/4000 [40:57<1:01:08,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  40%|████      | 1602/4000 [40:59<1:00:55,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  40%|████      | 1603/4000 [41:00<1:00:47,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  40%|████      | 1604/4000 [41:02<1:00:48,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  40%|████      | 1605/4000 [41:04<1:00:40,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  40%|████      | 1606/4000 [41:05<1:00:42,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  40%|████      | 1607/4000 [41:07<1:00:45,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  40%|████      | 1608/4000 [41:08<1:00:38,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  40%|████      | 1609/4000 [41:10<1:00:33,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  40%|████      | 1610/4000 [41:11<1:00:34,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  40%|████      | 1611/4000 [41:13<1:00:26,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  40%|████      | 1612/4000 [41:14<1:00:14,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  40%|████      | 1613/4000 [41:16<1:00:13,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  40%|████      | 1614/4000 [41:17<1:00:05,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  40%|████      | 1615/4000 [41:19<1:00:05,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  40%|████      | 1616/4000 [41:20<1:00:16,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  40%|████      | 1617/4000 [41:22<1:00:09,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  40%|████      | 1618/4000 [41:23<1:00:05,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  40%|████      | 1619/4000 [41:25<1:00:08,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  40%|████      | 1620/4000 [41:26<1:00:00,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  41%|████      | 1621/4000 [41:28<1:00:07,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  41%|████      | 1622/4000 [41:29<59:57,  1.51s/it]  

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  41%|████      | 1623/4000 [41:31<1:00:01,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  41%|████      | 1624/4000 [41:32<1:00:00,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  41%|████      | 1625/4000 [41:34<1:00:00,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  41%|████      | 1626/4000 [41:35<59:48,  1.51s/it]  

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  41%|████      | 1627/4000 [41:37<59:43,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  41%|████      | 1628/4000 [41:38<57:38,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8607029914855957
train acc: 0.7257084846496582
train loss: 0.9004576802253723
train acc: 0.7179999947547913
train loss: 0.9007271528244019
train acc: 0.7360000014305115


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  41%|████      | 1629/4000 [41:41<1:07:59,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  41%|████      | 1630/4000 [41:42<1:05:36,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  41%|████      | 1631/4000 [41:44<1:03:51,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  41%|████      | 1632/4000 [41:45<1:02:43,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  41%|████      | 1633/4000 [41:47<1:02:18,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:51,  1.59s/it]
overall:  41%|████      | 1634/4000 [41:48<1:01:51,  1.57s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.58s/it]
overall:  41%|████      | 1635/4000 [41:50<1:01:17,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.56s/it]
overall:  41%|████      | 1636/4000 [41:51<1:00:41,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  41%|████      | 1637/4000 [41:53<1:00:18,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  41%|████      | 1638/4000 [41:54<1:00:06,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  41%|████      | 1639/4000 [41:56<59:59,  1.52s/it]  

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  41%|████      | 1640/4000 [41:57<59:55,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  41%|████      | 1641/4000 [41:59<59:54,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  41%|████      | 1642/4000 [42:00<59:44,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  41%|████      | 1643/4000 [42:02<59:27,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  41%|████      | 1644/4000 [42:03<59:22,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  41%|████      | 1645/4000 [42:05<59:13,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  41%|████      | 1646/4000 [42:06<59:07,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  41%|████      | 1647/4000 [42:08<59:14,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  41%|████      | 1648/4000 [42:09<59:09,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  41%|████      | 1649/4000 [42:11<59:04,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  41%|████▏     | 1650/4000 [42:12<58:57,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  41%|████▏     | 1651/4000 [42:14<59:06,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  41%|████▏     | 1652/4000 [42:15<59:09,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  41%|████▏     | 1653/4000 [42:17<59:20,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  41%|████▏     | 1654/4000 [42:18<59:15,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  41%|████▏     | 1655/4000 [42:20<59:13,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  41%|████▏     | 1656/4000 [42:21<59:17,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  41%|████▏     | 1657/4000 [42:23<59:16,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  41%|████▏     | 1658/4000 [42:25<59:07,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  41%|████▏     | 1659/4000 [42:26<59:03,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  42%|████▏     | 1660/4000 [42:28<58:53,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  42%|████▏     | 1661/4000 [42:29<58:58,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  42%|████▏     | 1662/4000 [42:31<58:48,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  42%|████▏     | 1663/4000 [42:32<58:43,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  42%|████▏     | 1664/4000 [42:34<58:38,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  42%|████▏     | 1665/4000 [42:35<56:41,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8976446390151978
train acc: 0.7206477522850037
train loss: 0.8835107088088989
train acc: 0.7350000143051147
train loss: 0.9388469457626343
train acc: 0.6830000281333923
train loss: 0.855455756187439
train acc: 0.7400000095367432


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  42%|████▏     | 1666/4000 [42:37<1:07:23,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.28s/it]
overall:  42%|████▏     | 1667/4000 [42:39<1:05:00,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  42%|████▏     | 1668/4000 [42:40<1:03:08,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  42%|████▏     | 1669/4000 [42:42<1:01:53,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  42%|████▏     | 1670/4000 [42:43<1:00:53,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  42%|████▏     | 1671/4000 [42:45<1:00:17,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  42%|████▏     | 1672/4000 [42:46<59:49,  1.54s/it]  

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  42%|████▏     | 1673/4000 [42:48<59:22,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  42%|████▏     | 1674/4000 [42:49<59:10,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  42%|████▏     | 1675/4000 [42:51<59:15,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  42%|████▏     | 1676/4000 [42:52<58:55,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  42%|████▏     | 1677/4000 [42:54<58:48,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  42%|████▏     | 1678/4000 [42:55<58:38,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  42%|████▏     | 1679/4000 [42:57<58:44,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  42%|████▏     | 1680/4000 [42:58<58:36,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  42%|████▏     | 1681/4000 [43:00<58:37,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  42%|████▏     | 1682/4000 [43:02<58:34,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  42%|████▏     | 1683/4000 [43:03<58:28,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  42%|████▏     | 1684/4000 [43:05<58:30,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  42%|████▏     | 1685/4000 [43:06<58:28,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  42%|████▏     | 1686/4000 [43:08<58:26,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  42%|████▏     | 1687/4000 [43:09<58:29,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  42%|████▏     | 1688/4000 [43:11<58:30,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  42%|████▏     | 1689/4000 [43:12<58:30,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  42%|████▏     | 1690/4000 [43:14<58:36,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  42%|████▏     | 1691/4000 [43:15<58:43,  1.53s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.53s/it]
overall:  42%|████▏     | 1692/4000 [43:17<58:28,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  42%|████▏     | 1693/4000 [43:18<58:19,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  42%|████▏     | 1694/4000 [43:20<58:07,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  42%|████▏     | 1695/4000 [43:21<57:55,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  42%|████▏     | 1696/4000 [43:23<57:59,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  42%|████▏     | 1697/4000 [43:24<58:02,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  42%|████▏     | 1698/4000 [43:26<57:59,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  42%|████▏     | 1699/4000 [43:27<58:03,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  42%|████▎     | 1700/4000 [43:29<57:52,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  43%|████▎     | 1701/4000 [43:30<57:53,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  43%|████▎     | 1702/4000 [43:32<55:53,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8660430908203125
train acc: 0.7327935099601746
train loss: 0.8753483891487122
train acc: 0.734000027179718
train loss: 0.8999202847480774
train acc: 0.7110000252723694
train loss: 0.8634979128837585
train acc: 0.7329999804496765


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  43%|████▎     | 1703/4000 [43:34<1:05:39,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.19s/it]
overall:  43%|████▎     | 1704/4000 [43:35<1:03:13,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  43%|████▎     | 1705/4000 [43:37<1:01:45,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  43%|████▎     | 1706/4000 [43:38<1:00:33,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  43%|████▎     | 1707/4000 [43:40<59:47,  1.56s/it]  

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  43%|████▎     | 1708/4000 [43:42<59:55,  1.57s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.58s/it]
overall:  43%|████▎     | 1709/4000 [43:43<59:18,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.56s/it]
overall:  43%|████▎     | 1710/4000 [43:45<59:00,  1.55s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.55s/it]
overall:  43%|████▎     | 1711/4000 [43:46<58:41,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  43%|████▎     | 1712/4000 [43:48<58:23,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  43%|████▎     | 1713/4000 [43:49<58:06,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  43%|████▎     | 1714/4000 [43:51<58:01,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  43%|████▎     | 1715/4000 [43:52<58:09,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  43%|████▎     | 1716/4000 [43:54<57:54,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  43%|████▎     | 1717/4000 [43:55<57:47,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  43%|████▎     | 1718/4000 [43:57<57:38,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  43%|████▎     | 1719/4000 [43:58<57:29,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  43%|████▎     | 1720/4000 [44:00<57:19,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  43%|████▎     | 1721/4000 [44:01<57:17,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  43%|████▎     | 1722/4000 [44:03<57:26,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  43%|████▎     | 1723/4000 [44:04<57:29,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  43%|████▎     | 1724/4000 [44:06<57:24,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  43%|████▎     | 1725/4000 [44:07<57:21,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  43%|████▎     | 1726/4000 [44:09<57:16,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  43%|████▎     | 1727/4000 [44:10<57:35,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  43%|████▎     | 1728/4000 [44:12<57:22,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  43%|████▎     | 1729/4000 [44:13<57:12,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  43%|████▎     | 1730/4000 [44:15<57:07,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  43%|████▎     | 1731/4000 [44:16<57:06,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  43%|████▎     | 1732/4000 [44:18<57:04,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  43%|████▎     | 1733/4000 [44:19<57:06,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  43%|████▎     | 1734/4000 [44:21<56:58,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  43%|████▎     | 1735/4000 [44:22<56:53,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  43%|████▎     | 1736/4000 [44:24<56:52,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  43%|████▎     | 1737/4000 [44:25<56:52,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  43%|████▎     | 1738/4000 [44:27<56:54,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  43%|████▎     | 1739/4000 [44:28<54:53,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8724868893623352
train acc: 0.7216598987579346
train loss: 0.8946264386177063
train acc: 0.7310000061988831
train loss: 0.8730684518814087
train acc: 0.7289999723434448


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  44%|████▎     | 1740/4000 [44:31<1:05:24,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.28s/it]
overall:  44%|████▎     | 1741/4000 [44:32<1:02:55,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  44%|████▎     | 1742/4000 [44:34<1:01:08,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  44%|████▎     | 1743/4000 [44:35<59:45,  1.59s/it]  

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  44%|████▎     | 1744/4000 [44:37<58:54,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  44%|████▎     | 1745/4000 [44:38<58:24,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  44%|████▎     | 1746/4000 [44:40<58:01,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  44%|████▎     | 1747/4000 [44:41<57:50,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  44%|████▎     | 1748/4000 [44:43<58:17,  1.55s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.56s/it]
overall:  44%|████▎     | 1749/4000 [44:44<57:42,  1.54s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.54s/it]
overall:  44%|████▍     | 1750/4000 [44:46<57:17,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  44%|████▍     | 1751/4000 [44:47<57:04,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.52s/it]
overall:  44%|████▍     | 1752/4000 [44:49<57:03,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  44%|████▍     | 1753/4000 [44:50<56:56,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  44%|████▍     | 1754/4000 [44:52<56:41,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  44%|████▍     | 1755/4000 [44:53<56:33,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  44%|████▍     | 1756/4000 [44:55<56:30,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  44%|████▍     | 1757/4000 [44:56<56:26,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  44%|████▍     | 1758/4000 [44:58<56:32,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  44%|████▍     | 1759/4000 [45:00<56:30,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  44%|████▍     | 1760/4000 [45:01<56:23,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  44%|████▍     | 1761/4000 [45:03<56:17,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  44%|████▍     | 1762/4000 [45:04<56:22,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  44%|████▍     | 1763/4000 [45:06<56:37,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  44%|████▍     | 1764/4000 [45:07<56:35,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  44%|████▍     | 1765/4000 [45:09<56:26,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  44%|████▍     | 1766/4000 [45:10<56:20,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  44%|████▍     | 1767/4000 [45:12<56:26,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  44%|████▍     | 1768/4000 [45:13<56:27,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  44%|████▍     | 1769/4000 [45:15<56:22,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  44%|████▍     | 1770/4000 [45:16<56:18,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  44%|████▍     | 1771/4000 [45:18<56:25,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  44%|████▍     | 1772/4000 [45:19<56:38,  1.53s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.53s/it]
overall:  44%|████▍     | 1773/4000 [45:21<56:23,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  44%|████▍     | 1774/4000 [45:22<56:09,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  44%|████▍     | 1775/4000 [45:24<56:02,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  44%|████▍     | 1776/4000 [45:25<54:02,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8411327600479126
train acc: 0.75
train loss: 0.863625168800354
train acc: 0.7390000224113464
train loss: 0.8992818593978882
train acc: 0.7120000123977661
train loss: 0.826266884803772
train acc: 0.7490000128746033


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  44%|████▍     | 1777/4000 [45:27<1:04:18,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.27s/it]
overall:  44%|████▍     | 1778/4000 [45:29<1:01:49,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  44%|████▍     | 1779/4000 [45:31<1:00:02,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  44%|████▍     | 1780/4000 [45:32<58:41,  1.59s/it]  

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  45%|████▍     | 1781/4000 [45:34<57:51,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  45%|████▍     | 1782/4000 [45:35<57:11,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  45%|████▍     | 1783/4000 [45:37<58:30,  1.58s/it]

train:  19%|█▉        | 7/37 [00:11<00:47,  1.59s/it]
overall:  45%|████▍     | 1784/4000 [45:38<58:22,  1.58s/it]

train:  22%|██▏       | 8/37 [00:13<00:45,  1.59s/it]
overall:  45%|████▍     | 1785/4000 [45:40<57:34,  1.56s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.56s/it]
overall:  45%|████▍     | 1786/4000 [45:41<57:23,  1.56s/it]

train:  27%|██▋       | 10/37 [00:16<00:42,  1.56s/it]
overall:  45%|████▍     | 1787/4000 [45:43<56:59,  1.55s/it]

train:  30%|██▉       | 11/37 [00:17<00:40,  1.55s/it]
overall:  45%|████▍     | 1788/4000 [45:44<56:42,  1.54s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.54s/it]
overall:  45%|████▍     | 1789/4000 [45:46<56:49,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:37,  1.54s/it]
overall:  45%|████▍     | 1790/4000 [45:47<56:21,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  45%|████▍     | 1791/4000 [45:49<56:05,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  45%|████▍     | 1792/4000 [45:50<55:56,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  45%|████▍     | 1793/4000 [45:52<55:52,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  45%|████▍     | 1794/4000 [45:53<55:46,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  45%|████▍     | 1795/4000 [45:55<55:39,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  45%|████▍     | 1796/4000 [45:56<55:34,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  45%|████▍     | 1797/4000 [45:58<55:32,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  45%|████▍     | 1798/4000 [46:00<55:36,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  45%|████▍     | 1799/4000 [46:01<55:38,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  45%|████▌     | 1800/4000 [46:03<55:25,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  45%|████▌     | 1801/4000 [46:04<55:54,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  45%|████▌     | 1802/4000 [46:06<55:44,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  45%|████▌     | 1803/4000 [46:07<55:36,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  45%|████▌     | 1804/4000 [46:09<55:28,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  45%|████▌     | 1805/4000 [46:10<55:24,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  45%|████▌     | 1806/4000 [46:12<55:19,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  45%|████▌     | 1807/4000 [46:13<55:12,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  45%|████▌     | 1808/4000 [46:15<55:16,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  45%|████▌     | 1809/4000 [46:16<55:13,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  45%|████▌     | 1810/4000 [46:18<55:11,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  45%|████▌     | 1811/4000 [46:19<55:25,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:54<00:03,  1.52s/it]
overall:  45%|████▌     | 1812/4000 [46:21<55:21,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  45%|████▌     | 1813/4000 [46:22<53:37,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:57<00:00,  1.54s/it]
train loss: 0.9020792841911316
train acc: 0.7125505805015564
train loss: 0.8613240122795105
train acc: 0.7350000143051147
train loss: 0.8601416349411011
train acc: 0.7200000286102295
train loss: 0.8811333775520325
train acc: 0.7319999933242798


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  45%|████▌     | 1814/4000 [46:24<1:02:50,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  45%|████▌     | 1815/4000 [46:26<1:00:36,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  45%|████▌     | 1816/4000 [46:27<59:01,  1.62s/it]  

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  45%|████▌     | 1817/4000 [46:29<58:06,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  45%|████▌     | 1818/4000 [46:31<57:26,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  45%|████▌     | 1819/4000 [46:32<57:11,  1.57s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.58s/it]
overall:  46%|████▌     | 1820/4000 [46:34<56:27,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.56s/it]
overall:  46%|████▌     | 1821/4000 [46:35<56:00,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  46%|████▌     | 1822/4000 [46:37<55:43,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.54s/it]
overall:  46%|████▌     | 1823/4000 [46:38<55:30,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  46%|████▌     | 1824/4000 [46:40<55:20,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  46%|████▌     | 1825/4000 [46:41<55:02,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  46%|████▌     | 1826/4000 [46:43<54:51,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  46%|████▌     | 1827/4000 [46:44<54:47,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  46%|████▌     | 1828/4000 [46:46<54:55,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  46%|████▌     | 1829/4000 [46:47<54:53,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  46%|████▌     | 1830/4000 [46:49<54:42,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  46%|████▌     | 1831/4000 [46:50<54:38,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  46%|████▌     | 1832/4000 [46:52<54:35,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  46%|████▌     | 1833/4000 [46:53<54:37,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  46%|████▌     | 1834/4000 [46:55<54:43,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  46%|████▌     | 1835/4000 [46:56<54:48,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  46%|████▌     | 1836/4000 [46:58<54:40,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  46%|████▌     | 1837/4000 [46:59<54:38,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  46%|████▌     | 1838/4000 [47:01<54:45,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  46%|████▌     | 1839/4000 [47:02<54:51,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  46%|████▌     | 1840/4000 [47:04<54:40,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  46%|████▌     | 1841/4000 [47:05<54:48,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  46%|████▌     | 1842/4000 [47:07<54:43,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  46%|████▌     | 1843/4000 [47:09<54:41,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  46%|████▌     | 1844/4000 [47:10<54:37,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  46%|████▌     | 1845/4000 [47:12<54:37,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  46%|████▌     | 1846/4000 [47:13<54:35,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  46%|████▌     | 1847/4000 [47:15<54:29,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  46%|████▌     | 1848/4000 [47:16<54:21,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  46%|████▌     | 1849/4000 [47:18<54:21,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  46%|████▋     | 1850/4000 [47:19<52:25,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.8463636636734009
train acc: 0.7429149746894836
train loss: 0.8296149969100952
train acc: 0.746999979019165
train loss: 0.8942772746086121
train acc: 0.7239999771118164
train loss: 0.8341282606124878
train acc: 0.7419028282165527


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  46%|████▋     | 1851/4000 [47:21<1:01:42,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.22s/it]
overall:  46%|████▋     | 1852/4000 [47:23<59:48,  1.67s/it]  

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  46%|████▋     | 1853/4000 [47:24<58:03,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  46%|████▋     | 1854/4000 [47:26<56:55,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  46%|████▋     | 1855/4000 [47:27<56:13,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  46%|████▋     | 1856/4000 [47:29<55:34,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  46%|████▋     | 1857/4000 [47:30<55:15,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  46%|████▋     | 1858/4000 [47:32<54:44,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  46%|████▋     | 1859/4000 [47:33<54:30,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  46%|████▋     | 1860/4000 [47:35<54:37,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  47%|████▋     | 1861/4000 [47:37<54:28,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  47%|████▋     | 1862/4000 [47:38<54:16,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  47%|████▋     | 1863/4000 [47:40<54:24,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  47%|████▋     | 1864/4000 [47:41<54:11,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.52s/it]
overall:  47%|████▋     | 1865/4000 [47:43<54:06,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  47%|████▋     | 1866/4000 [47:44<54:12,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.52s/it]
overall:  47%|████▋     | 1867/4000 [47:46<53:59,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  47%|████▋     | 1868/4000 [47:47<54:11,  1.53s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.53s/it]
overall:  47%|████▋     | 1869/4000 [47:49<54:10,  1.53s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.53s/it]
overall:  47%|████▋     | 1870/4000 [47:50<54:02,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  47%|████▋     | 1871/4000 [47:52<53:58,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  47%|████▋     | 1872/4000 [47:53<53:55,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  47%|████▋     | 1873/4000 [47:55<53:45,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  47%|████▋     | 1874/4000 [47:56<53:41,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  47%|████▋     | 1875/4000 [47:58<53:45,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  47%|████▋     | 1876/4000 [47:59<53:36,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  47%|████▋     | 1877/4000 [48:01<53:37,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  47%|████▋     | 1878/4000 [48:02<53:37,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  47%|████▋     | 1879/4000 [48:04<53:31,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  47%|████▋     | 1880/4000 [48:05<53:23,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  47%|████▋     | 1881/4000 [48:07<53:38,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  47%|████▋     | 1882/4000 [48:08<53:36,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  47%|████▋     | 1883/4000 [48:10<53:39,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  47%|████▋     | 1884/4000 [48:11<53:46,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  47%|████▋     | 1885/4000 [48:13<53:34,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  47%|████▋     | 1886/4000 [48:14<53:27,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  47%|████▋     | 1887/4000 [48:16<51:35,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.8815861940383911
train acc: 0.718999981880188
train loss: 0.8367989659309387
train acc: 0.7390000224113464
train loss: 0.8416174054145813
train acc: 0.7379999756813049


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  47%|████▋     | 1888/4000 [48:18<1:01:37,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  47%|████▋     | 1889/4000 [48:20<59:39,  1.70s/it]  

train:   5%|▌         | 2/37 [00:03<01:05,  1.87s/it]
overall:  47%|████▋     | 1890/4000 [48:21<57:43,  1.64s/it]

train:   8%|▊         | 3/37 [00:05<00:58,  1.71s/it]
overall:  47%|████▋     | 1891/4000 [48:23<56:18,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  47%|████▋     | 1892/4000 [48:24<55:19,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  47%|████▋     | 1893/4000 [48:26<54:38,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  47%|████▋     | 1894/4000 [48:27<54:12,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  47%|████▋     | 1895/4000 [48:29<53:53,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  47%|████▋     | 1896/4000 [48:30<53:33,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  47%|████▋     | 1897/4000 [48:32<53:19,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  47%|████▋     | 1898/4000 [48:33<53:11,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  47%|████▋     | 1899/4000 [48:35<53:10,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:37,  1.52s/it]
overall:  48%|████▊     | 1900/4000 [48:36<53:11,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  48%|████▊     | 1901/4000 [48:38<53:10,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  48%|████▊     | 1902/4000 [48:39<53:05,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  48%|████▊     | 1903/4000 [48:41<53:02,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  48%|████▊     | 1904/4000 [48:43<52:53,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  48%|████▊     | 1905/4000 [48:44<52:46,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  48%|████▊     | 1906/4000 [48:46<52:45,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  48%|████▊     | 1907/4000 [48:47<52:35,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  48%|████▊     | 1908/4000 [48:49<52:29,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  48%|████▊     | 1909/4000 [48:50<52:38,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  48%|████▊     | 1910/4000 [48:52<52:42,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  48%|████▊     | 1911/4000 [48:53<52:43,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  48%|████▊     | 1912/4000 [48:55<52:53,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  48%|████▊     | 1913/4000 [48:56<52:54,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  48%|████▊     | 1914/4000 [48:58<52:50,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  48%|████▊     | 1915/4000 [48:59<52:39,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  48%|████▊     | 1916/4000 [49:01<52:29,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  48%|████▊     | 1917/4000 [49:02<52:28,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  48%|████▊     | 1918/4000 [49:04<52:34,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  48%|████▊     | 1919/4000 [49:05<52:36,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  48%|████▊     | 1920/4000 [49:07<52:38,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  48%|████▊     | 1921/4000 [49:08<52:38,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  48%|████▊     | 1922/4000 [49:10<52:34,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  48%|████▊     | 1923/4000 [49:11<52:30,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  48%|████▊     | 1924/4000 [49:13<50:33,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.8426837921142578
train acc: 0.7449392676353455
train loss: 0.8345643877983093
train acc: 0.7390000224113464
train loss: 0.8539664149284363
train acc: 0.7269999980926514
train loss: 0.8499128222465515
train acc: 0.734000027179718


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  48%|████▊     | 1925/4000 [49:15<1:01:15,  1.77s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.38s/it]
overall:  48%|████▊     | 1926/4000 [49:17<58:26,  1.69s/it]  

train:   5%|▌         | 2/37 [00:03<01:05,  1.86s/it]
overall:  48%|████▊     | 1927/4000 [49:18<56:34,  1.64s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  48%|████▊     | 1928/4000 [49:20<55:08,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  48%|████▊     | 1929/4000 [49:21<54:16,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  48%|████▊     | 1930/4000 [49:23<53:32,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  48%|████▊     | 1931/4000 [49:24<53:07,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  48%|████▊     | 1932/4000 [49:26<52:44,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  48%|████▊     | 1933/4000 [49:27<52:32,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  48%|████▊     | 1934/4000 [49:29<52:25,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  48%|████▊     | 1935/4000 [49:30<52:13,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  48%|████▊     | 1936/4000 [49:32<52:09,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  48%|████▊     | 1937/4000 [49:33<52:16,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  48%|████▊     | 1938/4000 [49:35<52:02,  1.51s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.51s/it]
overall:  48%|████▊     | 1939/4000 [49:36<51:53,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  48%|████▊     | 1940/4000 [49:38<51:49,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  49%|████▊     | 1941/4000 [49:39<51:54,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  49%|████▊     | 1942/4000 [49:41<51:48,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  49%|████▊     | 1943/4000 [49:42<51:48,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  49%|████▊     | 1944/4000 [49:44<51:53,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  49%|████▊     | 1945/4000 [49:45<51:55,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  49%|████▊     | 1946/4000 [49:47<51:46,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  49%|████▊     | 1947/4000 [49:48<51:37,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  49%|████▊     | 1948/4000 [49:50<51:40,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  49%|████▊     | 1949/4000 [49:51<51:50,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  49%|████▉     | 1950/4000 [49:53<51:41,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  49%|████▉     | 1951/4000 [49:54<51:35,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  49%|████▉     | 1952/4000 [49:56<51:31,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  49%|████▉     | 1953/4000 [49:57<51:32,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  49%|████▉     | 1954/4000 [49:59<51:36,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  49%|████▉     | 1955/4000 [50:00<51:37,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  49%|████▉     | 1956/4000 [50:02<51:42,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  49%|████▉     | 1957/4000 [50:03<51:37,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  49%|████▉     | 1958/4000 [50:05<51:29,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  49%|████▉     | 1959/4000 [50:06<51:19,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  49%|████▉     | 1960/4000 [50:08<51:16,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  49%|████▉     | 1961/4000 [50:09<49:31,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8611587285995483
train acc: 0.7246963381767273
train loss: 0.8398566246032715
train acc: 0.7630000114440918
train loss: 0.85682213306427
train acc: 0.7269999980926514
train loss: 0.8337410092353821
train acc: 0.7179999947547913


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  49%|████▉     | 1962/4000 [50:12<59:10,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.29s/it]
overall:  49%|████▉     | 1963/4000 [50:13<56:43,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  49%|████▉     | 1964/4000 [50:15<55:02,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  49%|████▉     | 1965/4000 [50:16<53:51,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  49%|████▉     | 1966/4000 [50:18<52:56,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  49%|████▉     | 1967/4000 [50:19<52:19,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  49%|████▉     | 1968/4000 [50:21<52:00,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  49%|████▉     | 1969/4000 [50:22<51:48,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  49%|████▉     | 1970/4000 [50:24<51:40,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  49%|████▉     | 1971/4000 [50:25<51:24,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  49%|████▉     | 1972/4000 [50:27<51:11,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  49%|████▉     | 1973/4000 [50:28<51:07,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  49%|████▉     | 1974/4000 [50:30<51:22,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  49%|████▉     | 1975/4000 [50:31<51:09,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  49%|████▉     | 1976/4000 [50:33<51:06,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  49%|████▉     | 1977/4000 [50:34<50:59,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  49%|████▉     | 1978/4000 [50:36<50:57,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  49%|████▉     | 1979/4000 [50:37<50:53,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  50%|████▉     | 1980/4000 [50:39<50:46,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  50%|████▉     | 1981/4000 [50:40<50:43,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  50%|████▉     | 1982/4000 [50:42<50:36,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  50%|████▉     | 1983/4000 [50:43<50:35,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  50%|████▉     | 1984/4000 [50:45<50:33,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  50%|████▉     | 1985/4000 [50:46<50:41,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  50%|████▉     | 1986/4000 [50:48<50:58,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  50%|████▉     | 1987/4000 [50:50<50:46,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  50%|████▉     | 1988/4000 [50:51<50:44,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  50%|████▉     | 1989/4000 [50:53<50:47,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  50%|████▉     | 1990/4000 [50:54<50:50,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  50%|████▉     | 1991/4000 [50:56<50:49,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  50%|████▉     | 1992/4000 [50:57<50:50,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  50%|████▉     | 1993/4000 [50:59<50:50,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  50%|████▉     | 1994/4000 [51:00<50:37,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  50%|████▉     | 1995/4000 [51:02<50:33,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  50%|████▉     | 1996/4000 [51:03<50:26,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  50%|████▉     | 1997/4000 [51:05<50:23,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  50%|████▉     | 1998/4000 [51:06<48:38,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.839259922504425
train acc: 0.7469635605812073
train loss: 0.8228031396865845
train acc: 0.7459999918937683
train loss: 0.8452841639518738
train acc: 0.7329999804496765


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  50%|████▉     | 1999/4000 [51:08<59:11,  1.77s/it]

train:   3%|▎         | 1/37 [00:02<01:26,  2.39s/it]train loss: 0.8453474044799805
train acc: 0.7408906817436218



test:   0%|          | 0/15 [00:00<?, ?it/s]


test:   7%|▋         | 1/15 [00:02<00:32,  2.29s/it]


test:  13%|█▎        | 2/15 [00:03<00:23,  1.79s/it]


test:  20%|██        | 3/15 [00:05<00:19,  1.62s/it]


test:  27%|██▋       | 4/15 [00:06<00:17,  1.55s/it]


test:  33%|███▎      | 5/15 [00:08<00:15,  1.51s/it]


test:  40%|████      | 6/15 [00:09<00:13,  1.49s/it]


test:  47%|████▋     | 7/15 [00:10<00:11,  1.47s/it]


test:  53%|█████▎    | 8/15 [00:12<00:10,  1.46s/it]


test:  60%|██████    | 9/15 [00:13<00:08,  1.45s/it]


test:  67%|██████▋   | 10/15 [00:15<00:07,  1.44s/it]


test:  73%|███████▎  | 11/15 [00:16<00:05,  1.44s/it]


test:  80%|████████  | 12/15 [00:18<00:04,  1.44s/it]


test:  87%|████████▋ | 13/15 [00:19<00:02,  1.44s/it]


test:  93%|█████████▎| 14/15 [00:20<00:01,  1.44s/it]
test: 100%|██████████| 15/15 [00:21<00:00,  1.41s/it]

overall:  50%|█████     | 2000/4000 [51:31<4:28:36,  8.06s/it]

train:   5%|▌         | 2/37 [00:25<08:22, 14.35s/it]
overall:  50%|█████     | 2001/4000 [51:33<3:24:40,  6.14s/it]

train:   8%|▊         | 3/37 [00:26<04:51,  8.56s/it]
overall:  50%|█████     | 2002/4000 [51:34<2:38:17,  4.75s/it]

train:  11%|█         | 4/37 [00:28<03:10,  5.78s/it]
overall:  50%|█████     | 2003/4000 [51:36<2:05:48,  3.78s/it]

train:  14%|█▎        | 5/37 [00:29<02:15,  4.24s/it]
overall:  50%|█████     | 2004/4000 [51:37<1:43:07,  3.10s/it]

train:  16%|█▌        | 6/37 [00:31<01:42,  3.31s/it]
overall:  50%|█████     | 2005/4000 [51:39<1:27:09,  2.62s/it]

train:  19%|█▉        | 7/37 [00:32<01:21,  2.72s/it]
overall:  50%|█████     | 2006/4000 [51:40<1:16:05,  2.29s/it]

train:  22%|██▏       | 8/37 [00:34<01:07,  2.34s/it]
overall:  50%|█████     | 2007/4000 [51:42<1:08:12,  2.05s/it]

train:  24%|██▍       | 9/37 [00:35<00:58,  2.08s/it]
overall:  50%|█████     | 2008/4000 [51:43<1:02:41,  1.89s/it]

train:  27%|██▋       | 10/37 [00:37<00:51,  1.90s/it]
overall:  50%|█████     | 2009/4000 [51:45<58:56,  1.78s/it]  

train:  30%|██▉       | 11/37 [00:38<00:46,  1.78s/it]
overall:  50%|█████     | 2010/4000 [51:46<56:17,  1.70s/it]

train:  32%|███▏      | 12/37 [00:40<00:42,  1.70s/it]
overall:  50%|█████     | 2011/4000 [51:48<54:46,  1.65s/it]

train:  35%|███▌      | 13/37 [00:41<00:39,  1.65s/it]
overall:  50%|█████     | 2012/4000 [51:50<53:24,  1.61s/it]

train:  38%|███▊      | 14/37 [00:43<00:37,  1.61s/it]
overall:  50%|█████     | 2013/4000 [51:51<52:40,  1.59s/it]

train:  41%|████      | 15/37 [00:44<00:34,  1.59s/it]
overall:  50%|█████     | 2014/4000 [51:53<51:57,  1.57s/it]

train:  43%|████▎     | 16/37 [00:46<00:32,  1.57s/it]
overall:  50%|█████     | 2015/4000 [51:54<51:25,  1.55s/it]

train:  46%|████▌     | 17/37 [00:48<00:31,  1.55s/it]
overall:  50%|█████     | 2016/4000 [51:56<50:54,  1.54s/it]

train:  49%|████▊     | 18/37 [00:49<00:29,  1.54s/it]
overall:  50%|█████     | 2017/4000 [51:57<50:26,  1.53s/it]

train:  51%|█████▏    | 19/37 [00:51<00:27,  1.53s/it]
overall:  50%|█████     | 2018/4000 [51:59<50:18,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:52<00:25,  1.52s/it]
overall:  50%|█████     | 2019/4000 [52:00<50:04,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:54<00:24,  1.52s/it]
overall:  50%|█████     | 2020/4000 [52:02<50:02,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:55<00:22,  1.52s/it]
overall:  51%|█████     | 2021/4000 [52:03<50:05,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:57<00:21,  1.52s/it]
overall:  51%|█████     | 2022/4000 [52:05<50:00,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:58<00:19,  1.52s/it]
overall:  51%|█████     | 2023/4000 [52:06<49:59,  1.52s/it]

train:  68%|██████▊   | 25/37 [01:00<00:18,  1.52s/it]
overall:  51%|█████     | 2024/4000 [52:08<49:52,  1.51s/it]

train:  70%|███████   | 26/37 [01:01<00:16,  1.51s/it]
overall:  51%|█████     | 2025/4000 [52:09<49:54,  1.52s/it]

train:  73%|███████▎  | 27/37 [01:03<00:15,  1.52s/it]
overall:  51%|█████     | 2026/4000 [52:11<49:53,  1.52s/it]

train:  76%|███████▌  | 28/37 [01:04<00:13,  1.52s/it]
overall:  51%|█████     | 2027/4000 [52:12<49:45,  1.51s/it]

train:  78%|███████▊  | 29/37 [01:06<00:12,  1.51s/it]
overall:  51%|█████     | 2028/4000 [52:14<49:36,  1.51s/it]

train:  81%|████████  | 30/37 [01:07<00:10,  1.51s/it]
overall:  51%|█████     | 2029/4000 [52:15<49:35,  1.51s/it]

train:  84%|████████▍ | 31/37 [01:09<00:09,  1.51s/it]
overall:  51%|█████     | 2030/4000 [52:17<49:46,  1.52s/it]

train:  86%|████████▋ | 32/37 [01:10<00:07,  1.52s/it]
overall:  51%|█████     | 2031/4000 [52:18<49:42,  1.51s/it]

train:  89%|████████▉ | 33/37 [01:12<00:06,  1.51s/it]
overall:  51%|█████     | 2032/4000 [52:20<49:34,  1.51s/it]

train:  92%|█████████▏| 34/37 [01:13<00:04,  1.51s/it]
overall:  51%|█████     | 2033/4000 [52:21<49:40,  1.52s/it]

train:  95%|█████████▍| 35/37 [01:15<00:03,  1.51s/it]
overall:  51%|█████     | 2034/4000 [52:23<49:43,  1.52s/it]

train:  97%|█████████▋| 36/37 [01:16<00:01,  1.52s/it]
overall:  51%|█████     | 2035/4000 [52:24<48:03,  1.47s/it]

train: 100%|██████████| 37/37 [01:18<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [01:18<00:00,  2.11s/it]
test loss: 1.1214540004730225
test acc: 0.6249110102653503
train loss: 0.8574304580688477
train acc: 0.7419999837875366
train loss: 0.8285824060440063
train acc: 0.7509999871253967
train loss: 0.8154282569885254
train acc: 0.7369999885559082


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  51%|█████     | 2036/4000 [52:27<57:33,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  51%|█████     | 2037/4000 [52:28<54:58,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  51%|█████     | 2038/4000 [52:30<53:09,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  51%|█████     | 2039/4000 [52:31<51:55,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  51%|█████     | 2040/4000 [52:33<51:11,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  51%|█████     | 2041/4000 [52:34<50:41,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  51%|█████     | 2042/4000 [52:36<50:13,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  51%|█████     | 2043/4000 [52:37<49:53,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  51%|█████     | 2044/4000 [52:39<49:41,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  51%|█████     | 2045/4000 [52:40<49:33,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  51%|█████     | 2046/4000 [52:42<49:26,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  51%|█████     | 2047/4000 [52:43<49:21,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  51%|█████     | 2048/4000 [52:45<49:30,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  51%|█████     | 2049/4000 [52:46<49:19,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  51%|█████▏    | 2050/4000 [52:48<49:17,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  51%|█████▏    | 2051/4000 [52:49<49:18,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  51%|█████▏    | 2052/4000 [52:51<49:12,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  51%|█████▏    | 2053/4000 [52:52<49:09,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  51%|█████▏    | 2054/4000 [52:54<49:06,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  51%|█████▏    | 2055/4000 [52:55<48:57,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  51%|█████▏    | 2056/4000 [52:57<48:49,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  51%|█████▏    | 2057/4000 [52:58<49:01,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  51%|█████▏    | 2058/4000 [53:00<48:55,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  51%|█████▏    | 2059/4000 [53:01<49:00,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  52%|█████▏    | 2060/4000 [53:03<49:12,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  52%|█████▏    | 2061/4000 [53:04<49:06,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  52%|█████▏    | 2062/4000 [53:06<48:55,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  52%|█████▏    | 2063/4000 [53:07<48:49,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  52%|█████▏    | 2064/4000 [53:09<48:43,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  52%|█████▏    | 2065/4000 [53:10<48:39,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  52%|█████▏    | 2066/4000 [53:12<48:45,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  52%|█████▏    | 2067/4000 [53:14<48:41,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  52%|█████▏    | 2068/4000 [53:15<48:38,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  52%|█████▏    | 2069/4000 [53:17<48:41,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  52%|█████▏    | 2070/4000 [53:18<48:36,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  52%|█████▏    | 2071/4000 [53:20<48:36,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  52%|█████▏    | 2072/4000 [53:21<46:59,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8144011497497559
train acc: 0.7257084846496582
train loss: 0.8281639814376831
train acc: 0.7490000128746033
train loss: 0.8439397811889648
train acc: 0.7490000128746033
train loss: 0.8192930221557617
train acc: 0.7329999804496765


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  52%|█████▏    | 2073/4000 [53:23<55:42,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  52%|█████▏    | 2074/4000 [53:25<53:43,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  52%|█████▏    | 2075/4000 [53:26<52:03,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  52%|█████▏    | 2076/4000 [53:28<50:56,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  52%|█████▏    | 2077/4000 [53:29<50:13,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  52%|█████▏    | 2078/4000 [53:31<49:41,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  52%|█████▏    | 2079/4000 [53:32<49:15,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  52%|█████▏    | 2080/4000 [53:34<48:54,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  52%|█████▏    | 2081/4000 [53:35<48:42,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  52%|█████▏    | 2082/4000 [53:37<48:28,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  52%|█████▏    | 2083/4000 [53:38<48:28,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  52%|█████▏    | 2084/4000 [53:40<48:26,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  52%|█████▏    | 2085/4000 [53:42<50:08,  1.57s/it]

train:  35%|███▌      | 13/37 [00:20<00:37,  1.57s/it]
overall:  52%|█████▏    | 2086/4000 [53:43<49:34,  1.55s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.55s/it]
overall:  52%|█████▏    | 2087/4000 [53:45<49:07,  1.54s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.54s/it]
overall:  52%|█████▏    | 2088/4000 [53:46<48:43,  1.53s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.53s/it]
overall:  52%|█████▏    | 2089/4000 [53:48<48:23,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  52%|█████▏    | 2090/4000 [53:49<48:13,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  52%|█████▏    | 2091/4000 [53:51<48:07,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  52%|█████▏    | 2092/4000 [53:52<48:02,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  52%|█████▏    | 2093/4000 [53:54<48:05,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  52%|█████▏    | 2094/4000 [53:55<48:01,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  52%|█████▏    | 2095/4000 [53:57<47:54,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  52%|█████▏    | 2096/4000 [53:58<47:52,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  52%|█████▏    | 2097/4000 [54:00<48:06,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  52%|█████▏    | 2098/4000 [54:01<47:57,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  52%|█████▏    | 2099/4000 [54:03<47:55,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  52%|█████▎    | 2100/4000 [54:04<47:50,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  53%|█████▎    | 2101/4000 [54:06<47:42,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  53%|█████▎    | 2102/4000 [54:07<47:45,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  53%|█████▎    | 2103/4000 [54:09<47:39,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  53%|█████▎    | 2104/4000 [54:10<47:34,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  53%|█████▎    | 2105/4000 [54:12<47:31,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  53%|█████▎    | 2106/4000 [54:13<47:25,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  53%|█████▎    | 2107/4000 [54:15<47:22,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  53%|█████▎    | 2108/4000 [54:16<47:34,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  53%|█████▎    | 2109/4000 [54:18<45:52,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8225558400154114
train acc: 0.7510121464729309
train loss: 0.8165849447250366
train acc: 0.753000020980835
train loss: 0.8393057584762573
train acc: 0.7260000109672546


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  53%|█████▎    | 2110/4000 [54:20<54:14,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.22s/it]
overall:  53%|█████▎    | 2111/4000 [54:21<52:13,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  53%|█████▎    | 2112/4000 [54:23<50:44,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  53%|█████▎    | 2113/4000 [54:25<49:45,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.61s/it]
overall:  53%|█████▎    | 2114/4000 [54:26<49:01,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  53%|█████▎    | 2115/4000 [54:28<48:48,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  53%|█████▎    | 2116/4000 [54:29<48:26,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  53%|█████▎    | 2117/4000 [54:31<48:03,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  53%|█████▎    | 2118/4000 [54:32<47:42,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  53%|█████▎    | 2119/4000 [54:34<47:32,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  53%|█████▎    | 2120/4000 [54:35<47:29,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  53%|█████▎    | 2121/4000 [54:37<47:18,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  53%|█████▎    | 2122/4000 [54:38<47:17,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  53%|█████▎    | 2123/4000 [54:40<47:23,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  53%|█████▎    | 2124/4000 [54:41<47:24,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  53%|█████▎    | 2125/4000 [54:43<47:15,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  53%|█████▎    | 2126/4000 [54:44<47:16,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  53%|█████▎    | 2127/4000 [54:46<47:17,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  53%|█████▎    | 2128/4000 [54:47<47:19,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  53%|█████▎    | 2129/4000 [54:49<47:22,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.52s/it]
overall:  53%|█████▎    | 2130/4000 [54:50<47:17,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  53%|█████▎    | 2131/4000 [54:52<47:07,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  53%|█████▎    | 2132/4000 [54:53<46:59,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  53%|█████▎    | 2133/4000 [54:55<46:59,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  53%|█████▎    | 2134/4000 [54:56<46:55,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  53%|█████▎    | 2135/4000 [54:58<47:01,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  53%|█████▎    | 2136/4000 [54:59<46:54,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  53%|█████▎    | 2137/4000 [55:01<46:52,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  53%|█████▎    | 2138/4000 [55:02<46:48,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  53%|█████▎    | 2139/4000 [55:04<46:52,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  54%|█████▎    | 2140/4000 [55:05<46:57,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  54%|█████▎    | 2141/4000 [55:07<46:48,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  54%|█████▎    | 2142/4000 [55:08<46:46,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  54%|█████▎    | 2143/4000 [55:10<46:40,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  54%|█████▎    | 2144/4000 [55:11<46:40,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  54%|█████▎    | 2145/4000 [55:13<46:49,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  54%|█████▎    | 2146/4000 [55:14<45:14,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8242217302322388
train acc: 0.7368420958518982
train loss: 0.8436259031295776
train acc: 0.7419999837875366
train loss: 0.8239668607711792
train acc: 0.7139999866485596
train loss: 0.8509910702705383
train acc: 0.7360000014305115


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  54%|█████▎    | 2147/4000 [55:17<53:05,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  54%|█████▎    | 2148/4000 [55:18<51:02,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  54%|█████▎    | 2149/4000 [55:20<49:34,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  54%|█████▍    | 2150/4000 [55:21<48:38,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  54%|█████▍    | 2151/4000 [55:23<48:00,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  54%|█████▍    | 2152/4000 [55:24<47:26,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  54%|█████▍    | 2153/4000 [55:26<47:02,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  54%|█████▍    | 2154/4000 [55:27<46:48,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  54%|█████▍    | 2155/4000 [55:29<46:41,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  54%|█████▍    | 2156/4000 [55:30<46:31,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  54%|█████▍    | 2157/4000 [55:32<46:29,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  54%|█████▍    | 2158/4000 [55:33<46:27,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  54%|█████▍    | 2159/4000 [55:35<46:44,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  54%|█████▍    | 2160/4000 [55:36<46:30,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  54%|█████▍    | 2161/4000 [55:38<46:20,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  54%|█████▍    | 2162/4000 [55:39<46:25,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  54%|█████▍    | 2163/4000 [55:41<46:23,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  54%|█████▍    | 2164/4000 [55:42<46:13,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  54%|█████▍    | 2165/4000 [55:44<46:06,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  54%|█████▍    | 2166/4000 [55:45<46:09,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  54%|█████▍    | 2167/4000 [55:47<46:04,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  54%|█████▍    | 2168/4000 [55:48<46:10,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  54%|█████▍    | 2169/4000 [55:50<46:05,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  54%|█████▍    | 2170/4000 [55:51<46:04,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  54%|█████▍    | 2171/4000 [55:53<46:07,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  54%|█████▍    | 2172/4000 [55:54<45:57,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  54%|█████▍    | 2173/4000 [55:56<45:52,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  54%|█████▍    | 2174/4000 [55:57<45:47,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  54%|█████▍    | 2175/4000 [55:59<45:41,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  54%|█████▍    | 2176/4000 [56:00<45:37,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  54%|█████▍    | 2177/4000 [56:02<45:36,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  54%|█████▍    | 2178/4000 [56:03<45:47,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  54%|█████▍    | 2179/4000 [56:05<45:50,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  55%|█████▍    | 2180/4000 [56:06<45:44,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:  55%|█████▍    | 2181/4000 [56:08<45:46,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  55%|█████▍    | 2182/4000 [56:09<45:41,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.51s/it]
overall:  55%|█████▍    | 2183/4000 [56:11<44:12,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8033769726753235
train acc: 0.7540485858917236
train loss: 0.8358489274978638
train acc: 0.7319999933242798
train loss: 0.8081402778625488
train acc: 0.7480000257492065
train loss: 0.7888635396957397
train acc: 0.7580000162124634


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  55%|█████▍    | 2184/4000 [56:13<51:54,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  55%|█████▍    | 2185/4000 [56:15<50:04,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  55%|█████▍    | 2186/4000 [56:16<48:39,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  55%|█████▍    | 2187/4000 [56:18<47:47,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  55%|█████▍    | 2188/4000 [56:19<47:13,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  55%|█████▍    | 2189/4000 [56:21<46:46,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  55%|█████▍    | 2190/4000 [56:22<46:28,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  55%|█████▍    | 2191/4000 [56:24<46:17,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  55%|█████▍    | 2192/4000 [56:25<46:04,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  55%|█████▍    | 2193/4000 [56:27<45:53,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  55%|█████▍    | 2194/4000 [56:28<45:45,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  55%|█████▍    | 2195/4000 [56:30<45:43,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  55%|█████▍    | 2196/4000 [56:31<45:50,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  55%|█████▍    | 2197/4000 [56:33<45:36,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  55%|█████▍    | 2198/4000 [56:34<45:26,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  55%|█████▍    | 2199/4000 [56:36<45:23,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  55%|█████▌    | 2200/4000 [56:37<45:20,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  55%|█████▌    | 2201/4000 [56:39<45:24,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  55%|█████▌    | 2202/4000 [56:40<45:15,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  55%|█████▌    | 2203/4000 [56:42<45:13,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  55%|█████▌    | 2204/4000 [56:43<45:19,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  55%|█████▌    | 2205/4000 [56:45<45:21,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  55%|█████▌    | 2206/4000 [56:46<45:20,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  55%|█████▌    | 2207/4000 [56:48<45:20,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  55%|█████▌    | 2208/4000 [56:49<45:21,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  55%|█████▌    | 2209/4000 [56:51<45:10,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  55%|█████▌    | 2210/4000 [56:52<45:03,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  55%|█████▌    | 2211/4000 [56:54<45:03,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  55%|█████▌    | 2212/4000 [56:55<45:05,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  55%|█████▌    | 2213/4000 [56:57<45:08,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  55%|█████▌    | 2214/4000 [56:58<45:09,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  55%|█████▌    | 2215/4000 [57:00<45:00,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  55%|█████▌    | 2216/4000 [57:01<45:01,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  55%|█████▌    | 2217/4000 [57:03<45:05,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  55%|█████▌    | 2218/4000 [57:05<45:03,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  55%|█████▌    | 2219/4000 [57:06<44:51,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  56%|█████▌    | 2220/4000 [57:07<43:18,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8347126841545105
train acc: 0.7287449240684509
train loss: 0.8115748167037964
train acc: 0.753000020980835
train loss: 0.8155568242073059
train acc: 0.746999979019165
train loss: 0.8145006895065308
train acc: 0.7510121464729309


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  56%|█████▌    | 2221/4000 [57:10<50:44,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  56%|█████▌    | 2222/4000 [57:11<48:50,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  56%|█████▌    | 2223/4000 [57:13<47:39,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  56%|█████▌    | 2224/4000 [57:14<46:49,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  56%|█████▌    | 2225/4000 [57:16<46:12,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  56%|█████▌    | 2226/4000 [57:17<45:40,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  56%|█████▌    | 2227/4000 [57:19<45:26,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  56%|█████▌    | 2228/4000 [57:20<45:09,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  56%|█████▌    | 2229/4000 [57:22<45:00,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  56%|█████▌    | 2230/4000 [57:23<44:56,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  56%|█████▌    | 2231/4000 [57:25<44:50,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  56%|█████▌    | 2232/4000 [57:26<44:41,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  56%|█████▌    | 2233/4000 [57:28<44:36,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  56%|█████▌    | 2234/4000 [57:29<44:40,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  56%|█████▌    | 2235/4000 [57:31<44:46,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  56%|█████▌    | 2236/4000 [57:32<44:34,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  56%|█████▌    | 2237/4000 [57:34<44:24,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  56%|█████▌    | 2238/4000 [57:35<44:17,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  56%|█████▌    | 2239/4000 [57:37<44:36,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  56%|█████▌    | 2240/4000 [57:38<44:30,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.52s/it]
overall:  56%|█████▌    | 2241/4000 [57:40<44:26,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  56%|█████▌    | 2242/4000 [57:41<44:20,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  56%|█████▌    | 2243/4000 [57:43<44:12,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  56%|█████▌    | 2244/4000 [57:44<44:11,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  56%|█████▌    | 2245/4000 [57:46<44:09,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  56%|█████▌    | 2246/4000 [57:47<44:09,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  56%|█████▌    | 2247/4000 [57:49<44:25,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  56%|█████▌    | 2248/4000 [57:51<44:29,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  56%|█████▌    | 2249/4000 [57:52<44:17,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  56%|█████▋    | 2250/4000 [57:54<44:07,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  56%|█████▋    | 2251/4000 [57:55<44:10,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  56%|█████▋    | 2252/4000 [57:57<44:02,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  56%|█████▋    | 2253/4000 [57:58<44:00,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  56%|█████▋    | 2254/4000 [58:00<43:57,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  56%|█████▋    | 2255/4000 [58:01<43:57,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  56%|█████▋    | 2256/4000 [58:03<43:50,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  56%|█████▋    | 2257/4000 [58:04<42:20,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7434870004653931
train acc: 0.7929999828338623
train loss: 0.8609920740127563
train acc: 0.7269999980926514
train loss: 0.8092727661132812
train acc: 0.7360000014305115


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  56%|█████▋    | 2258/4000 [58:06<49:50,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  56%|█████▋    | 2259/4000 [58:08<48:02,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  56%|█████▋    | 2260/4000 [58:09<46:40,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  57%|█████▋    | 2261/4000 [58:11<45:48,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  57%|█████▋    | 2262/4000 [58:12<45:09,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  57%|█████▋    | 2263/4000 [58:14<44:39,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  57%|█████▋    | 2264/4000 [58:15<44:22,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  57%|█████▋    | 2265/4000 [58:17<44:25,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  57%|█████▋    | 2266/4000 [58:18<44:04,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  57%|█████▋    | 2267/4000 [58:20<44:01,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  57%|█████▋    | 2268/4000 [58:21<43:53,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  57%|█████▋    | 2269/4000 [58:23<43:42,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  57%|█████▋    | 2270/4000 [58:24<43:48,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  57%|█████▋    | 2271/4000 [58:26<43:39,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  57%|█████▋    | 2272/4000 [58:27<43:32,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  57%|█████▋    | 2273/4000 [58:29<43:34,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  57%|█████▋    | 2274/4000 [58:30<43:30,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  57%|█████▋    | 2275/4000 [58:32<43:25,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  57%|█████▋    | 2276/4000 [58:33<43:22,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  57%|█████▋    | 2277/4000 [58:35<43:26,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  57%|█████▋    | 2278/4000 [58:37<43:24,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  57%|█████▋    | 2279/4000 [58:38<43:21,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  57%|█████▋    | 2280/4000 [58:40<43:17,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  57%|█████▋    | 2281/4000 [58:41<43:13,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  57%|█████▋    | 2282/4000 [58:43<43:27,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  57%|█████▋    | 2283/4000 [58:44<43:26,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  57%|█████▋    | 2284/4000 [58:46<43:18,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  57%|█████▋    | 2285/4000 [58:47<43:15,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  57%|█████▋    | 2286/4000 [58:49<43:09,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  57%|█████▋    | 2287/4000 [58:50<43:04,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  57%|█████▋    | 2288/4000 [58:52<43:07,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  57%|█████▋    | 2289/4000 [58:53<43:08,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  57%|█████▋    | 2290/4000 [58:55<43:05,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  57%|█████▋    | 2291/4000 [58:56<43:02,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  57%|█████▋    | 2292/4000 [58:58<42:55,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  57%|█████▋    | 2293/4000 [58:59<42:59,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  57%|█████▋    | 2294/4000 [59:01<41:21,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8289287686347961
train acc: 0.7348178029060364
train loss: 0.7879419922828674
train acc: 0.7480000257492065
train loss: 0.8482556343078613
train acc: 0.7310000061988831
train loss: 0.8204662203788757
train acc: 0.7490000128746033


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  57%|█████▋    | 2295/4000 [59:03<50:00,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.36s/it]
overall:  57%|█████▋    | 2296/4000 [59:04<47:47,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  57%|█████▋    | 2297/4000 [59:06<46:13,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  57%|█████▋    | 2298/4000 [59:08<45:14,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  57%|█████▋    | 2299/4000 [59:09<44:51,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:51,  1.60s/it]
overall:  57%|█████▊    | 2300/4000 [59:11<44:13,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  58%|█████▊    | 2301/4000 [59:12<43:47,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  58%|█████▊    | 2302/4000 [59:14<43:24,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  58%|█████▊    | 2303/4000 [59:15<43:06,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  58%|█████▊    | 2304/4000 [59:17<43:04,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  58%|█████▊    | 2305/4000 [59:18<42:57,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  58%|█████▊    | 2306/4000 [59:20<42:53,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:37,  1.52s/it]
overall:  58%|█████▊    | 2307/4000 [59:21<42:54,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  58%|█████▊    | 2308/4000 [59:23<42:48,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  58%|█████▊    | 2309/4000 [59:24<42:42,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  58%|█████▊    | 2310/4000 [59:26<42:42,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  58%|█████▊    | 2311/4000 [59:27<42:44,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  58%|█████▊    | 2312/4000 [59:29<42:49,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  58%|█████▊    | 2313/4000 [59:30<42:40,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  58%|█████▊    | 2314/4000 [59:32<42:28,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  58%|█████▊    | 2315/4000 [59:33<42:22,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  58%|█████▊    | 2316/4000 [59:35<42:24,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  58%|█████▊    | 2317/4000 [59:36<42:22,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  58%|█████▊    | 2318/4000 [59:38<42:28,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  58%|█████▊    | 2319/4000 [59:39<42:32,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  58%|█████▊    | 2320/4000 [59:41<42:29,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  58%|█████▊    | 2321/4000 [59:42<42:29,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  58%|█████▊    | 2322/4000 [59:44<42:26,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  58%|█████▊    | 2323/4000 [59:45<42:25,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  58%|█████▊    | 2324/4000 [59:47<42:20,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  58%|█████▊    | 2325/4000 [59:48<42:16,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  58%|█████▊    | 2326/4000 [59:50<42:20,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  58%|█████▊    | 2327/4000 [59:51<42:16,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  58%|█████▊    | 2328/4000 [59:53<42:14,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  58%|█████▊    | 2329/4000 [59:54<42:08,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  58%|█████▊    | 2330/4000 [59:56<42:15,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  58%|█████▊    | 2331/4000 [59:57<40:49,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.791291356086731
train acc: 0.7682186365127563
train loss: 0.7538056969642639
train acc: 0.7739999890327454
train loss: 0.8419103622436523
train acc: 0.7200000286102295
train loss: 0.8024502992630005
train acc: 0.7450000047683716


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  58%|█████▊    | 2332/4000 [1:00:00<48:52,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  58%|█████▊    | 2333/4000 [1:00:01<46:45,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  58%|█████▊    | 2334/4000 [1:00:03<45:16,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  58%|█████▊    | 2335/4000 [1:00:04<44:11,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  58%|█████▊    | 2336/4000 [1:00:06<43:24,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  58%|█████▊    | 2337/4000 [1:00:07<43:02,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  58%|█████▊    | 2338/4000 [1:00:09<42:58,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.56s/it]
overall:  58%|█████▊    | 2339/4000 [1:00:10<42:41,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  58%|█████▊    | 2340/4000 [1:00:12<42:20,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  59%|█████▊    | 2341/4000 [1:00:13<42:11,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  59%|█████▊    | 2342/4000 [1:00:15<42:04,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  59%|█████▊    | 2343/4000 [1:00:16<41:55,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  59%|█████▊    | 2344/4000 [1:00:18<41:52,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  59%|█████▊    | 2345/4000 [1:00:20<41:53,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  59%|█████▊    | 2346/4000 [1:00:21<41:49,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  59%|█████▊    | 2347/4000 [1:00:23<41:46,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  59%|█████▊    | 2348/4000 [1:00:24<41:40,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  59%|█████▊    | 2349/4000 [1:00:26<41:35,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  59%|█████▉    | 2350/4000 [1:00:27<41:38,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  59%|█████▉    | 2351/4000 [1:00:29<41:37,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  59%|█████▉    | 2352/4000 [1:00:30<41:29,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  59%|█████▉    | 2353/4000 [1:00:32<41:28,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  59%|█████▉    | 2354/4000 [1:00:33<41:29,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  59%|█████▉    | 2355/4000 [1:00:35<41:26,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  59%|█████▉    | 2356/4000 [1:00:36<41:27,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  59%|█████▉    | 2357/4000 [1:00:38<41:38,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  59%|█████▉    | 2358/4000 [1:00:39<41:43,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  59%|█████▉    | 2359/4000 [1:00:41<41:33,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  59%|█████▉    | 2360/4000 [1:00:42<41:31,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  59%|█████▉    | 2361/4000 [1:00:44<41:30,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  59%|█████▉    | 2362/4000 [1:00:45<41:39,  1.53s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.53s/it]
overall:  59%|█████▉    | 2363/4000 [1:00:47<41:28,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  59%|█████▉    | 2364/4000 [1:00:48<41:16,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  59%|█████▉    | 2365/4000 [1:00:50<41:06,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  59%|█████▉    | 2366/4000 [1:00:51<41:00,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  59%|█████▉    | 2367/4000 [1:00:53<41:04,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  59%|█████▉    | 2368/4000 [1:00:54<39:43,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.8153936266899109
train acc: 0.7449392676353455
train loss: 0.8007475733757019
train acc: 0.7570000290870667
train loss: 0.8297878503799438
train acc: 0.7379999756813049


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  59%|█████▉    | 2369/4000 [1:00:56<46:34,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.17s/it]
overall:  59%|█████▉    | 2370/4000 [1:00:58<44:56,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  59%|█████▉    | 2371/4000 [1:00:59<43:47,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  59%|█████▉    | 2372/4000 [1:01:01<43:02,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  59%|█████▉    | 2373/4000 [1:01:03<42:22,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  59%|█████▉    | 2374/4000 [1:01:04<41:51,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  59%|█████▉    | 2375/4000 [1:01:06<41:32,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  59%|█████▉    | 2376/4000 [1:01:07<41:19,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  59%|█████▉    | 2377/4000 [1:01:09<41:07,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  59%|█████▉    | 2378/4000 [1:01:10<40:59,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  59%|█████▉    | 2379/4000 [1:01:12<40:53,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  60%|█████▉    | 2380/4000 [1:01:13<40:50,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  60%|█████▉    | 2381/4000 [1:01:15<41:04,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  60%|█████▉    | 2382/4000 [1:01:16<40:54,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  60%|█████▉    | 2383/4000 [1:01:18<40:44,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  60%|█████▉    | 2384/4000 [1:01:19<40:38,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  60%|█████▉    | 2385/4000 [1:01:21<40:42,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  60%|█████▉    | 2386/4000 [1:01:22<40:46,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  60%|█████▉    | 2387/4000 [1:01:24<40:44,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  60%|█████▉    | 2388/4000 [1:01:25<40:46,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.52s/it]
overall:  60%|█████▉    | 2389/4000 [1:01:27<40:38,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  60%|█████▉    | 2390/4000 [1:01:28<40:36,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  60%|█████▉    | 2391/4000 [1:01:30<40:35,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  60%|█████▉    | 2392/4000 [1:01:31<40:32,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  60%|█████▉    | 2393/4000 [1:01:33<40:35,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  60%|█████▉    | 2394/4000 [1:01:34<40:28,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  60%|█████▉    | 2395/4000 [1:01:36<40:24,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  60%|█████▉    | 2396/4000 [1:01:37<40:24,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  60%|█████▉    | 2397/4000 [1:01:39<40:20,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  60%|█████▉    | 2398/4000 [1:01:40<40:18,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  60%|█████▉    | 2399/4000 [1:01:42<40:17,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  60%|██████    | 2400/4000 [1:01:43<40:17,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  60%|██████    | 2401/4000 [1:01:45<40:14,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  60%|██████    | 2402/4000 [1:01:46<40:13,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  60%|██████    | 2403/4000 [1:01:48<40:07,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  60%|██████    | 2404/4000 [1:01:49<40:09,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  60%|██████    | 2405/4000 [1:01:51<38:39,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7571808695793152
train acc: 0.76113361120224
train loss: 0.8038436770439148
train acc: 0.75
train loss: 0.7932466268539429
train acc: 0.75
train loss: 0.816687285900116
train acc: 0.7459999918937683


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  60%|██████    | 2406/4000 [1:01:53<45:35,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  60%|██████    | 2407/4000 [1:01:55<43:54,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  60%|██████    | 2408/4000 [1:01:56<42:48,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  60%|██████    | 2409/4000 [1:01:58<42:03,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  60%|██████    | 2410/4000 [1:01:59<41:20,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  60%|██████    | 2411/4000 [1:02:01<40:49,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  60%|██████    | 2412/4000 [1:02:02<40:29,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  60%|██████    | 2413/4000 [1:02:04<40:21,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  60%|██████    | 2414/4000 [1:02:05<40:18,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  60%|██████    | 2415/4000 [1:02:07<40:10,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  60%|██████    | 2416/4000 [1:02:08<40:02,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  60%|██████    | 2417/4000 [1:02:10<39:59,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  60%|██████    | 2418/4000 [1:02:11<40:11,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  60%|██████    | 2419/4000 [1:02:13<40:03,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  60%|██████    | 2420/4000 [1:02:14<39:56,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  61%|██████    | 2421/4000 [1:02:16<39:55,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  61%|██████    | 2422/4000 [1:02:17<39:45,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  61%|██████    | 2423/4000 [1:02:19<39:40,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  61%|██████    | 2424/4000 [1:02:20<39:39,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  61%|██████    | 2425/4000 [1:02:22<39:46,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  61%|██████    | 2426/4000 [1:02:23<39:37,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  61%|██████    | 2427/4000 [1:02:25<39:29,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  61%|██████    | 2428/4000 [1:02:26<39:32,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  61%|██████    | 2429/4000 [1:02:28<39:33,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  61%|██████    | 2430/4000 [1:02:29<39:46,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  61%|██████    | 2431/4000 [1:02:31<39:38,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  61%|██████    | 2432/4000 [1:02:32<39:33,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  61%|██████    | 2433/4000 [1:02:34<39:37,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  61%|██████    | 2434/4000 [1:02:35<39:30,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  61%|██████    | 2435/4000 [1:02:37<39:24,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  61%|██████    | 2436/4000 [1:02:38<39:23,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  61%|██████    | 2437/4000 [1:02:40<39:26,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  61%|██████    | 2438/4000 [1:02:41<39:33,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  61%|██████    | 2439/4000 [1:02:43<39:32,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  61%|██████    | 2440/4000 [1:02:44<39:31,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  61%|██████    | 2441/4000 [1:02:46<39:24,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  61%|██████    | 2442/4000 [1:02:47<38:00,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8085538148880005
train acc: 0.7439271211624146
train loss: 0.8126112222671509
train acc: 0.7419999837875366
train loss: 0.7909610867500305
train acc: 0.7509999871253967
train loss: 0.7613049745559692
train acc: 0.7670000195503235


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  61%|██████    | 2443/4000 [1:02:50<45:02,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.25s/it]
overall:  61%|██████    | 2444/4000 [1:02:51<43:21,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  61%|██████    | 2445/4000 [1:02:53<42:00,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  61%|██████    | 2446/4000 [1:02:54<41:06,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  61%|██████    | 2447/4000 [1:02:56<41:34,  1.61s/it]

train:  14%|█▎        | 5/37 [00:08<00:51,  1.62s/it]
overall:  61%|██████    | 2448/4000 [1:02:57<40:50,  1.58s/it]

train:  16%|█▌        | 6/37 [00:09<00:49,  1.59s/it]
overall:  61%|██████    | 2449/4000 [1:02:59<40:18,  1.56s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.56s/it]
overall:  61%|██████▏   | 2450/4000 [1:03:00<40:00,  1.55s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.55s/it]
overall:  61%|██████▏   | 2451/4000 [1:03:02<39:44,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  61%|██████▏   | 2452/4000 [1:03:03<39:27,  1.53s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.53s/it]
overall:  61%|██████▏   | 2453/4000 [1:03:05<39:17,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  61%|██████▏   | 2454/4000 [1:03:07<39:15,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.52s/it]
overall:  61%|██████▏   | 2455/4000 [1:03:08<39:14,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  61%|██████▏   | 2456/4000 [1:03:10<39:09,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  61%|██████▏   | 2457/4000 [1:03:11<38:59,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  61%|██████▏   | 2458/4000 [1:03:13<38:50,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  61%|██████▏   | 2459/4000 [1:03:14<38:50,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  62%|██████▏   | 2460/4000 [1:03:16<38:46,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  62%|██████▏   | 2461/4000 [1:03:17<38:40,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  62%|██████▏   | 2462/4000 [1:03:19<38:39,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  62%|██████▏   | 2463/4000 [1:03:20<38:38,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  62%|██████▏   | 2464/4000 [1:03:22<38:37,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  62%|██████▏   | 2465/4000 [1:03:23<38:34,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  62%|██████▏   | 2466/4000 [1:03:25<38:42,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  62%|██████▏   | 2467/4000 [1:03:26<38:57,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  62%|██████▏   | 2468/4000 [1:03:28<38:43,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  62%|██████▏   | 2469/4000 [1:03:29<38:34,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  62%|██████▏   | 2470/4000 [1:03:31<38:34,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  62%|██████▏   | 2471/4000 [1:03:32<38:41,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  62%|██████▏   | 2472/4000 [1:03:34<38:36,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  62%|██████▏   | 2473/4000 [1:03:35<38:36,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  62%|██████▏   | 2474/4000 [1:03:37<38:35,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  62%|██████▏   | 2475/4000 [1:03:38<38:31,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  62%|██████▏   | 2476/4000 [1:03:40<38:25,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  62%|██████▏   | 2477/4000 [1:03:41<38:34,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  62%|██████▏   | 2478/4000 [1:03:43<38:33,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  62%|██████▏   | 2479/4000 [1:03:44<37:12,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.8211917877197266
train acc: 0.7236841917037964
train loss: 0.7966983914375305
train acc: 0.7609999775886536
train loss: 0.7802385091781616
train acc: 0.7599999904632568


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  62%|██████▏   | 2480/4000 [1:03:47<43:30,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  62%|██████▏   | 2481/4000 [1:03:48<41:58,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  62%|██████▏   | 2482/4000 [1:03:50<40:52,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  62%|██████▏   | 2483/4000 [1:03:51<40:07,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  62%|██████▏   | 2484/4000 [1:03:53<39:28,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  62%|██████▏   | 2485/4000 [1:03:54<39:04,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  62%|██████▏   | 2486/4000 [1:03:56<38:44,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  62%|██████▏   | 2487/4000 [1:03:57<38:33,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  62%|██████▏   | 2488/4000 [1:03:59<38:29,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  62%|██████▏   | 2489/4000 [1:04:00<38:21,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  62%|██████▏   | 2490/4000 [1:04:02<38:24,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  62%|██████▏   | 2491/4000 [1:04:03<38:18,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  62%|██████▏   | 2492/4000 [1:04:05<38:11,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  62%|██████▏   | 2493/4000 [1:04:06<38:10,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  62%|██████▏   | 2494/4000 [1:04:08<38:08,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  62%|██████▏   | 2495/4000 [1:04:09<38:05,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  62%|██████▏   | 2496/4000 [1:04:11<37:59,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  62%|██████▏   | 2497/4000 [1:04:12<37:58,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  62%|██████▏   | 2498/4000 [1:04:14<37:57,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  62%|██████▏   | 2499/4000 [1:04:15<37:56,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.52s/it]
overall:  62%|██████▎   | 2500/4000 [1:04:17<37:56,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  63%|██████▎   | 2501/4000 [1:04:18<37:54,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  63%|██████▎   | 2502/4000 [1:04:20<37:56,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  63%|██████▎   | 2503/4000 [1:04:21<37:52,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  63%|██████▎   | 2504/4000 [1:04:23<37:46,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  63%|██████▎   | 2505/4000 [1:04:24<37:51,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  63%|██████▎   | 2506/4000 [1:04:26<37:50,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  63%|██████▎   | 2507/4000 [1:04:27<37:47,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  63%|██████▎   | 2508/4000 [1:04:29<37:41,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  63%|██████▎   | 2509/4000 [1:04:30<37:38,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  63%|██████▎   | 2510/4000 [1:04:32<37:40,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  63%|██████▎   | 2511/4000 [1:04:34<37:36,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  63%|██████▎   | 2512/4000 [1:04:35<37:31,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  63%|██████▎   | 2513/4000 [1:04:37<37:32,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  63%|██████▎   | 2514/4000 [1:04:38<37:31,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  63%|██████▎   | 2515/4000 [1:04:40<37:32,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  63%|██████▎   | 2516/4000 [1:04:41<36:16,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.779305636882782
train acc: 0.7651821970939636
train loss: 0.7827239036560059
train acc: 0.7630000114440918
train loss: 0.8373466730117798
train acc: 0.7310000061988831
train loss: 0.7761799693107605
train acc: 0.7549999952316284


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  63%|██████▎   | 2517/4000 [1:04:43<42:40,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  63%|██████▎   | 2518/4000 [1:04:45<41:01,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  63%|██████▎   | 2519/4000 [1:04:46<39:49,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  63%|██████▎   | 2520/4000 [1:04:48<39:02,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  63%|██████▎   | 2521/4000 [1:04:49<38:31,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  63%|██████▎   | 2522/4000 [1:04:51<38:05,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  63%|██████▎   | 2523/4000 [1:04:52<37:56,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  63%|██████▎   | 2524/4000 [1:04:54<37:37,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  63%|██████▎   | 2525/4000 [1:04:55<37:30,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  63%|██████▎   | 2526/4000 [1:04:57<37:18,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  63%|██████▎   | 2527/4000 [1:04:58<37:17,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  63%|██████▎   | 2528/4000 [1:05:00<37:15,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  63%|██████▎   | 2529/4000 [1:05:01<37:18,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  63%|██████▎   | 2530/4000 [1:05:03<37:08,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  63%|██████▎   | 2531/4000 [1:05:04<37:02,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  63%|██████▎   | 2532/4000 [1:05:06<36:57,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  63%|██████▎   | 2533/4000 [1:05:07<36:51,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  63%|██████▎   | 2534/4000 [1:05:09<36:53,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  63%|██████▎   | 2535/4000 [1:05:10<36:55,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  63%|██████▎   | 2536/4000 [1:05:12<36:53,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  63%|██████▎   | 2537/4000 [1:05:13<36:54,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  63%|██████▎   | 2538/4000 [1:05:15<36:58,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.52s/it]
overall:  63%|██████▎   | 2539/4000 [1:05:17<37:00,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  64%|██████▎   | 2540/4000 [1:05:18<37:04,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  64%|██████▎   | 2541/4000 [1:05:20<37:03,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  64%|██████▎   | 2542/4000 [1:05:21<36:55,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  64%|██████▎   | 2543/4000 [1:05:23<36:54,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  64%|██████▎   | 2544/4000 [1:05:24<36:48,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  64%|██████▎   | 2545/4000 [1:05:26<36:47,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  64%|██████▎   | 2546/4000 [1:05:27<36:44,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  64%|██████▎   | 2547/4000 [1:05:29<36:41,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  64%|██████▎   | 2548/4000 [1:05:30<36:37,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  64%|██████▎   | 2549/4000 [1:05:32<36:37,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  64%|██████▍   | 2550/4000 [1:05:33<36:40,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  64%|██████▍   | 2551/4000 [1:05:35<36:36,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  64%|██████▍   | 2552/4000 [1:05:36<36:31,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  64%|██████▍   | 2553/4000 [1:05:38<35:14,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7546752691268921
train acc: 0.7702429294586182
train loss: 0.7969656586647034
train acc: 0.7450000047683716
train loss: 0.8104503750801086
train acc: 0.7440000176429749
train loss: 0.7744237780570984
train acc: 0.7590000033378601


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  64%|██████▍   | 2554/4000 [1:05:40<42:28,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.35s/it]
overall:  64%|██████▍   | 2555/4000 [1:05:42<40:39,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.86s/it]
overall:  64%|██████▍   | 2556/4000 [1:05:43<39:20,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  64%|██████▍   | 2557/4000 [1:05:45<38:33,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  64%|██████▍   | 2558/4000 [1:05:46<37:52,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  64%|██████▍   | 2559/4000 [1:05:48<37:20,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  64%|██████▍   | 2560/4000 [1:05:49<37:02,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  64%|██████▍   | 2561/4000 [1:05:51<36:50,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  64%|██████▍   | 2562/4000 [1:05:52<36:42,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  64%|██████▍   | 2563/4000 [1:05:54<36:27,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  64%|██████▍   | 2564/4000 [1:05:55<36:22,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  64%|██████▍   | 2565/4000 [1:05:57<36:19,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:37,  1.52s/it]
overall:  64%|██████▍   | 2566/4000 [1:05:58<36:19,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  64%|██████▍   | 2567/4000 [1:06:00<36:12,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  64%|██████▍   | 2568/4000 [1:06:01<36:11,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  64%|██████▍   | 2569/4000 [1:06:03<36:03,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  64%|██████▍   | 2570/4000 [1:06:04<36:02,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  64%|██████▍   | 2571/4000 [1:06:06<36:05,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  64%|██████▍   | 2572/4000 [1:06:07<36:03,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  64%|██████▍   | 2573/4000 [1:06:09<36:06,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  64%|██████▍   | 2574/4000 [1:06:10<36:11,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  64%|██████▍   | 2575/4000 [1:06:12<36:02,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  64%|██████▍   | 2576/4000 [1:06:13<35:54,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  64%|██████▍   | 2577/4000 [1:06:15<35:46,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  64%|██████▍   | 2578/4000 [1:06:16<35:50,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  64%|██████▍   | 2579/4000 [1:06:18<35:50,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  64%|██████▍   | 2580/4000 [1:06:19<35:47,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  65%|██████▍   | 2581/4000 [1:06:21<35:45,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  65%|██████▍   | 2582/4000 [1:06:22<35:46,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  65%|██████▍   | 2583/4000 [1:06:24<35:47,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  65%|██████▍   | 2584/4000 [1:06:26<35:46,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  65%|██████▍   | 2585/4000 [1:06:27<35:49,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  65%|██████▍   | 2586/4000 [1:06:29<35:44,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  65%|██████▍   | 2587/4000 [1:06:30<35:38,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  65%|██████▍   | 2588/4000 [1:06:32<35:33,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  65%|██████▍   | 2589/4000 [1:06:33<35:26,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  65%|██████▍   | 2590/4000 [1:06:34<34:18,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7875061631202698
train acc: 0.7742915153503418
train loss: 0.7915074825286865
train acc: 0.753000020980835
train loss: 0.7805027365684509
train acc: 0.7549999952316284
train loss: 0.7802976369857788
train acc: 0.7570850253105164


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  65%|██████▍   | 2591/4000 [1:06:37<40:35,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  65%|██████▍   | 2592/4000 [1:06:38<39:01,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  65%|██████▍   | 2593/4000 [1:06:40<37:56,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  65%|██████▍   | 2594/4000 [1:06:41<37:07,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  65%|██████▍   | 2595/4000 [1:06:43<36:31,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  65%|██████▍   | 2596/4000 [1:06:44<36:11,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  65%|██████▍   | 2597/4000 [1:06:46<35:53,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  65%|██████▍   | 2598/4000 [1:06:47<35:41,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  65%|██████▍   | 2599/4000 [1:06:49<35:37,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  65%|██████▌   | 2600/4000 [1:06:50<35:31,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  65%|██████▌   | 2601/4000 [1:06:52<35:30,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  65%|██████▌   | 2602/4000 [1:06:53<35:26,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  65%|██████▌   | 2603/4000 [1:06:55<35:25,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  65%|██████▌   | 2604/4000 [1:06:56<35:23,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  65%|██████▌   | 2605/4000 [1:06:58<35:22,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  65%|██████▌   | 2606/4000 [1:06:59<35:18,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  65%|██████▌   | 2607/4000 [1:07:01<35:17,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  65%|██████▌   | 2608/4000 [1:07:03<35:13,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  65%|██████▌   | 2609/4000 [1:07:04<35:05,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  65%|██████▌   | 2610/4000 [1:07:06<34:59,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  65%|██████▌   | 2611/4000 [1:07:07<34:52,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  65%|██████▌   | 2612/4000 [1:07:09<34:54,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  65%|██████▌   | 2613/4000 [1:07:10<34:55,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  65%|██████▌   | 2614/4000 [1:07:12<35:00,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  65%|██████▌   | 2615/4000 [1:07:13<35:01,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  65%|██████▌   | 2616/4000 [1:07:15<35:01,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  65%|██████▌   | 2617/4000 [1:07:16<34:50,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  65%|██████▌   | 2618/4000 [1:07:18<34:52,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  65%|██████▌   | 2619/4000 [1:07:19<34:47,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  66%|██████▌   | 2620/4000 [1:07:21<34:39,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  66%|██████▌   | 2621/4000 [1:07:22<34:44,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  66%|██████▌   | 2622/4000 [1:07:24<34:42,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  66%|██████▌   | 2623/4000 [1:07:25<34:47,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  66%|██████▌   | 2624/4000 [1:07:27<34:41,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  66%|██████▌   | 2625/4000 [1:07:28<34:39,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  66%|██████▌   | 2626/4000 [1:07:30<34:39,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  66%|██████▌   | 2627/4000 [1:07:31<33:28,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8092647790908813
train acc: 0.7429999709129333
train loss: 0.7758098840713501
train acc: 0.7639999985694885
train loss: 0.7684417963027954
train acc: 0.7590000033378601


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  66%|██████▌   | 2628/4000 [1:07:33<39:10,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  66%|██████▌   | 2629/4000 [1:07:35<37:40,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  66%|██████▌   | 2630/4000 [1:07:36<36:40,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  66%|██████▌   | 2631/4000 [1:07:38<35:58,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  66%|██████▌   | 2632/4000 [1:07:39<35:34,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  66%|██████▌   | 2633/4000 [1:07:41<35:15,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  66%|██████▌   | 2634/4000 [1:07:42<34:55,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  66%|██████▌   | 2635/4000 [1:07:44<34:47,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  66%|██████▌   | 2636/4000 [1:07:45<34:39,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  66%|██████▌   | 2637/4000 [1:07:47<34:30,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  66%|██████▌   | 2638/4000 [1:07:48<34:21,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  66%|██████▌   | 2639/4000 [1:07:50<34:15,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  66%|██████▌   | 2640/4000 [1:07:52<34:24,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  66%|██████▌   | 2641/4000 [1:07:53<34:21,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  66%|██████▌   | 2642/4000 [1:07:55<34:13,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  66%|██████▌   | 2643/4000 [1:07:56<34:15,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  66%|██████▌   | 2644/4000 [1:07:58<34:15,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  66%|██████▌   | 2645/4000 [1:07:59<34:07,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  66%|██████▌   | 2646/4000 [1:08:01<34:02,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  66%|██████▌   | 2647/4000 [1:08:02<33:57,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  66%|██████▌   | 2648/4000 [1:08:04<34:01,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  66%|██████▌   | 2649/4000 [1:08:05<34:02,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  66%|██████▋   | 2650/4000 [1:08:07<34:02,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  66%|██████▋   | 2651/4000 [1:08:08<34:06,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.52s/it]
overall:  66%|██████▋   | 2652/4000 [1:08:10<34:13,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  66%|██████▋   | 2653/4000 [1:08:11<34:05,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  66%|██████▋   | 2654/4000 [1:08:13<34:00,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  66%|██████▋   | 2655/4000 [1:08:14<34:01,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  66%|██████▋   | 2656/4000 [1:08:16<33:59,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  66%|██████▋   | 2657/4000 [1:08:17<33:52,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  66%|██████▋   | 2658/4000 [1:08:19<33:52,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  66%|██████▋   | 2659/4000 [1:08:20<33:51,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  66%|██████▋   | 2660/4000 [1:08:22<33:53,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  67%|██████▋   | 2661/4000 [1:08:23<33:52,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  67%|██████▋   | 2662/4000 [1:08:25<33:49,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  67%|██████▋   | 2663/4000 [1:08:26<33:43,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  67%|██████▋   | 2664/4000 [1:08:28<32:30,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7850307822227478
train acc: 0.7449392676353455
train loss: 0.7540684938430786
train acc: 0.7770000100135803
train loss: 0.7870005369186401
train acc: 0.7580000162124634
train loss: 0.787118136882782
train acc: 0.7490000128746033


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  67%|██████▋   | 2665/4000 [1:08:30<37:58,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  67%|██████▋   | 2666/4000 [1:08:31<36:34,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  67%|██████▋   | 2667/4000 [1:08:33<35:41,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  67%|██████▋   | 2668/4000 [1:08:34<34:59,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  67%|██████▋   | 2669/4000 [1:08:36<34:31,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  67%|██████▋   | 2670/4000 [1:08:38<34:17,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  67%|██████▋   | 2671/4000 [1:08:39<34:01,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  67%|██████▋   | 2672/4000 [1:08:41<33:51,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  67%|██████▋   | 2673/4000 [1:08:42<33:43,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  67%|██████▋   | 2674/4000 [1:08:44<33:37,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  67%|██████▋   | 2675/4000 [1:08:45<33:30,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  67%|██████▋   | 2676/4000 [1:08:47<33:28,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  67%|██████▋   | 2677/4000 [1:08:48<33:38,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  67%|██████▋   | 2678/4000 [1:08:50<33:31,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  67%|██████▋   | 2679/4000 [1:08:51<33:20,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  67%|██████▋   | 2680/4000 [1:08:53<33:15,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  67%|██████▋   | 2681/4000 [1:08:54<33:17,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  67%|██████▋   | 2682/4000 [1:08:56<33:19,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  67%|██████▋   | 2683/4000 [1:08:57<33:16,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  67%|██████▋   | 2684/4000 [1:08:59<33:09,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  67%|██████▋   | 2685/4000 [1:09:00<33:02,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  67%|██████▋   | 2686/4000 [1:09:02<32:59,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  67%|██████▋   | 2687/4000 [1:09:03<33:01,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  67%|██████▋   | 2688/4000 [1:09:05<32:56,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  67%|██████▋   | 2689/4000 [1:09:06<33:01,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  67%|██████▋   | 2690/4000 [1:09:08<33:01,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  67%|██████▋   | 2691/4000 [1:09:09<32:57,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  67%|██████▋   | 2692/4000 [1:09:11<32:57,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  67%|██████▋   | 2693/4000 [1:09:12<32:55,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  67%|██████▋   | 2694/4000 [1:09:14<33:00,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  67%|██████▋   | 2695/4000 [1:09:15<33:01,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  67%|██████▋   | 2696/4000 [1:09:17<32:57,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  67%|██████▋   | 2697/4000 [1:09:18<32:51,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  67%|██████▋   | 2698/4000 [1:09:20<32:46,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  67%|██████▋   | 2699/4000 [1:09:21<32:47,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  68%|██████▊   | 2700/4000 [1:09:23<32:45,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  68%|██████▊   | 2701/4000 [1:09:24<31:36,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7787936925888062
train acc: 0.7560728788375854
train loss: 0.7724124789237976
train acc: 0.7580000162124634
train loss: 0.7942543029785156
train acc: 0.7540000081062317
train loss: 0.7860064506530762
train acc: 0.7519999742507935


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  68%|██████▊   | 2702/4000 [1:09:27<37:18,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  68%|██████▊   | 2703/4000 [1:09:28<35:54,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  68%|██████▊   | 2704/4000 [1:09:30<34:52,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  68%|██████▊   | 2705/4000 [1:09:31<34:07,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  68%|██████▊   | 2706/4000 [1:09:33<33:37,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  68%|██████▊   | 2707/4000 [1:09:34<33:22,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  68%|██████▊   | 2708/4000 [1:09:36<33:04,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  68%|██████▊   | 2709/4000 [1:09:37<32:55,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  68%|██████▊   | 2710/4000 [1:09:39<32:44,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  68%|██████▊   | 2711/4000 [1:09:40<32:39,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  68%|██████▊   | 2712/4000 [1:09:42<32:38,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  68%|██████▊   | 2713/4000 [1:09:43<32:29,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  68%|██████▊   | 2714/4000 [1:09:45<32:31,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  68%|██████▊   | 2715/4000 [1:09:46<32:27,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  68%|██████▊   | 2716/4000 [1:09:48<32:30,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  68%|██████▊   | 2717/4000 [1:09:49<32:25,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  68%|██████▊   | 2718/4000 [1:09:51<32:19,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  68%|██████▊   | 2719/4000 [1:09:52<32:24,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  68%|██████▊   | 2720/4000 [1:09:54<32:58,  1.55s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.55s/it]
overall:  68%|██████▊   | 2721/4000 [1:09:55<32:47,  1.54s/it]

train:  54%|█████▍    | 20/37 [00:31<00:26,  1.54s/it]
overall:  68%|██████▊   | 2722/4000 [1:09:57<32:38,  1.53s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.53s/it]
overall:  68%|██████▊   | 2723/4000 [1:09:58<32:28,  1.53s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.53s/it]
overall:  68%|██████▊   | 2724/4000 [1:10:00<32:20,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  68%|██████▊   | 2725/4000 [1:10:01<32:09,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  68%|██████▊   | 2726/4000 [1:10:03<32:10,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  68%|██████▊   | 2727/4000 [1:10:04<32:06,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  68%|██████▊   | 2728/4000 [1:10:06<32:12,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  68%|██████▊   | 2729/4000 [1:10:08<32:11,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  68%|██████▊   | 2730/4000 [1:10:09<32:08,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  68%|██████▊   | 2731/4000 [1:10:11<32:05,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  68%|██████▊   | 2732/4000 [1:10:12<31:58,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  68%|██████▊   | 2733/4000 [1:10:14<32:01,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  68%|██████▊   | 2734/4000 [1:10:15<32:02,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  68%|██████▊   | 2735/4000 [1:10:17<32:04,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  68%|██████▊   | 2736/4000 [1:10:18<31:56,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  68%|██████▊   | 2737/4000 [1:10:20<31:48,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  68%|██████▊   | 2738/4000 [1:10:21<30:41,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7255316376686096
train acc: 0.7783401012420654
train loss: 0.7878075838088989
train acc: 0.7490000128746033
train loss: 0.7940422296524048
train acc: 0.753000020980835


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  68%|██████▊   | 2739/4000 [1:10:23<36:52,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  68%|██████▊   | 2740/4000 [1:10:25<35:17,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  69%|██████▊   | 2741/4000 [1:10:26<34:09,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  69%|██████▊   | 2742/4000 [1:10:28<33:19,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  69%|██████▊   | 2743/4000 [1:10:29<32:44,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  69%|██████▊   | 2744/4000 [1:10:31<32:25,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  69%|██████▊   | 2745/4000 [1:10:32<32:06,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  69%|██████▊   | 2746/4000 [1:10:34<32:01,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  69%|██████▊   | 2747/4000 [1:10:36<31:51,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  69%|██████▊   | 2748/4000 [1:10:37<31:48,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  69%|██████▊   | 2749/4000 [1:10:39<31:45,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  69%|██████▉   | 2750/4000 [1:10:40<31:44,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  69%|██████▉   | 2751/4000 [1:10:42<31:45,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  69%|██████▉   | 2752/4000 [1:10:43<31:37,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  69%|██████▉   | 2753/4000 [1:10:45<31:33,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  69%|██████▉   | 2754/4000 [1:10:46<31:31,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  69%|██████▉   | 2755/4000 [1:10:48<31:24,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  69%|██████▉   | 2756/4000 [1:10:49<31:24,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  69%|██████▉   | 2757/4000 [1:10:51<31:19,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  69%|██████▉   | 2758/4000 [1:10:52<31:18,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  69%|██████▉   | 2759/4000 [1:10:54<31:19,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  69%|██████▉   | 2760/4000 [1:10:55<31:19,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  69%|██████▉   | 2761/4000 [1:10:57<31:20,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  69%|██████▉   | 2762/4000 [1:10:58<31:17,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  69%|██████▉   | 2763/4000 [1:11:00<31:22,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  69%|██████▉   | 2764/4000 [1:11:01<31:15,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  69%|██████▉   | 2765/4000 [1:11:03<31:09,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  69%|██████▉   | 2766/4000 [1:11:04<31:09,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  69%|██████▉   | 2767/4000 [1:11:06<31:02,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  69%|██████▉   | 2768/4000 [1:11:07<31:02,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  69%|██████▉   | 2769/4000 [1:11:09<30:59,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  69%|██████▉   | 2770/4000 [1:11:10<30:54,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  69%|██████▉   | 2771/4000 [1:11:12<30:50,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  69%|██████▉   | 2772/4000 [1:11:13<30:51,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  69%|██████▉   | 2773/4000 [1:11:15<30:47,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  69%|██████▉   | 2774/4000 [1:11:16<30:52,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  69%|██████▉   | 2775/4000 [1:11:18<29:40,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.783706545829773
train acc: 0.7510121464729309
train loss: 0.7598633170127869
train acc: 0.7649999856948853
train loss: 0.7802243828773499
train acc: 0.7699999809265137
train loss: 0.7822429537773132
train acc: 0.753000020980835


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  69%|██████▉   | 2776/4000 [1:11:20<35:10,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  69%|██████▉   | 2777/4000 [1:11:22<33:46,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  69%|██████▉   | 2778/4000 [1:11:23<32:49,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  69%|██████▉   | 2779/4000 [1:11:25<32:11,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.61s/it]
overall:  70%|██████▉   | 2780/4000 [1:11:26<31:46,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  70%|██████▉   | 2781/4000 [1:11:28<31:22,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  70%|██████▉   | 2782/4000 [1:11:29<31:08,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  70%|██████▉   | 2783/4000 [1:11:31<31:02,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  70%|██████▉   | 2784/4000 [1:11:32<30:56,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  70%|██████▉   | 2785/4000 [1:11:34<30:49,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  70%|██████▉   | 2786/4000 [1:11:35<30:44,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  70%|██████▉   | 2787/4000 [1:11:37<30:40,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  70%|██████▉   | 2788/4000 [1:11:38<30:51,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  70%|██████▉   | 2789/4000 [1:11:40<30:45,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  70%|██████▉   | 2790/4000 [1:11:41<30:36,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  70%|██████▉   | 2791/4000 [1:11:43<30:35,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  70%|██████▉   | 2792/4000 [1:11:44<30:27,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  70%|██████▉   | 2793/4000 [1:11:46<30:23,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  70%|██████▉   | 2794/4000 [1:11:47<30:21,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  70%|██████▉   | 2795/4000 [1:11:49<30:18,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  70%|██████▉   | 2796/4000 [1:11:50<30:18,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  70%|██████▉   | 2797/4000 [1:11:52<30:13,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  70%|██████▉   | 2798/4000 [1:11:53<30:17,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  70%|██████▉   | 2799/4000 [1:11:55<30:15,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  70%|███████   | 2800/4000 [1:11:56<30:31,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  70%|███████   | 2801/4000 [1:11:58<30:24,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  70%|███████   | 2802/4000 [1:11:59<30:17,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  70%|███████   | 2803/4000 [1:12:01<30:12,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  70%|███████   | 2804/4000 [1:12:02<30:10,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  70%|███████   | 2805/4000 [1:12:04<30:12,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  70%|███████   | 2806/4000 [1:12:05<30:08,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  70%|███████   | 2807/4000 [1:12:07<30:04,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  70%|███████   | 2808/4000 [1:12:08<30:04,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  70%|███████   | 2809/4000 [1:12:10<30:02,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  70%|███████   | 2810/4000 [1:12:12<30:05,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  70%|███████   | 2811/4000 [1:12:13<30:02,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  70%|███████   | 2812/4000 [1:12:14<28:57,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7530569434165955
train acc: 0.7692307829856873
train loss: 0.7874673008918762
train acc: 0.7480000257492065
train loss: 0.7463324069976807
train acc: 0.7580000162124634
train loss: 0.7754735946655273
train acc: 0.7680000066757202


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  70%|███████   | 2813/4000 [1:12:17<33:49,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  70%|███████   | 2814/4000 [1:12:18<32:38,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  70%|███████   | 2815/4000 [1:12:20<31:52,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  70%|███████   | 2816/4000 [1:12:21<32:09,  1.63s/it]

train:  11%|█         | 4/37 [00:06<00:55,  1.67s/it]
overall:  70%|███████   | 2817/4000 [1:12:23<31:27,  1.60s/it]

train:  14%|█▎        | 5/37 [00:08<00:51,  1.61s/it]
overall:  70%|███████   | 2818/4000 [1:12:24<30:57,  1.57s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.58s/it]
overall:  70%|███████   | 2819/4000 [1:12:26<30:33,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.56s/it]
overall:  70%|███████   | 2820/4000 [1:12:27<30:22,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.55s/it]
overall:  71%|███████   | 2821/4000 [1:12:29<30:12,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  71%|███████   | 2822/4000 [1:12:30<30:02,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  71%|███████   | 2823/4000 [1:12:32<29:52,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  71%|███████   | 2824/4000 [1:12:33<29:46,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:37,  1.52s/it]
overall:  71%|███████   | 2825/4000 [1:12:35<29:41,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  71%|███████   | 2826/4000 [1:12:37<29:43,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  71%|███████   | 2827/4000 [1:12:38<29:41,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  71%|███████   | 2828/4000 [1:12:40<29:34,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  71%|███████   | 2829/4000 [1:12:41<29:31,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  71%|███████   | 2830/4000 [1:12:43<29:34,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  71%|███████   | 2831/4000 [1:12:44<29:33,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  71%|███████   | 2832/4000 [1:12:46<29:34,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  71%|███████   | 2833/4000 [1:12:47<29:29,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  71%|███████   | 2834/4000 [1:12:49<29:30,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  71%|███████   | 2835/4000 [1:12:50<29:30,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  71%|███████   | 2836/4000 [1:12:52<29:24,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  71%|███████   | 2837/4000 [1:12:53<29:21,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  71%|███████   | 2838/4000 [1:12:55<29:17,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  71%|███████   | 2839/4000 [1:12:56<29:15,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  71%|███████   | 2840/4000 [1:12:58<29:16,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  71%|███████   | 2841/4000 [1:12:59<29:11,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  71%|███████   | 2842/4000 [1:13:01<29:05,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  71%|███████   | 2843/4000 [1:13:02<29:07,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  71%|███████   | 2844/4000 [1:13:04<29:10,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  71%|███████   | 2845/4000 [1:13:05<29:09,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  71%|███████   | 2846/4000 [1:13:07<29:10,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  71%|███████   | 2847/4000 [1:13:08<29:09,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  71%|███████   | 2848/4000 [1:13:10<29:02,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  71%|███████   | 2849/4000 [1:13:11<28:01,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7559204697608948
train acc: 0.7651821970939636
train loss: 0.7721182107925415
train acc: 0.7680000066757202
train loss: 0.7859537601470947
train acc: 0.7459999918937683


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  71%|███████▏  | 2850/4000 [1:13:14<33:22,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  71%|███████▏  | 2851/4000 [1:13:15<32:04,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  71%|███████▏  | 2852/4000 [1:13:17<31:06,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  71%|███████▏  | 2853/4000 [1:13:18<30:24,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  71%|███████▏  | 2854/4000 [1:13:20<29:57,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  71%|███████▏  | 2855/4000 [1:13:21<29:33,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  71%|███████▏  | 2856/4000 [1:13:23<29:20,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  71%|███████▏  | 2857/4000 [1:13:24<29:11,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  71%|███████▏  | 2858/4000 [1:13:26<29:00,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  71%|███████▏  | 2859/4000 [1:13:27<28:53,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  72%|███████▏  | 2860/4000 [1:13:29<28:48,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  72%|███████▏  | 2861/4000 [1:13:30<28:46,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  72%|███████▏  | 2862/4000 [1:13:32<28:47,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  72%|███████▏  | 2863/4000 [1:13:33<28:39,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  72%|███████▏  | 2864/4000 [1:13:35<28:37,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  72%|███████▏  | 2865/4000 [1:13:36<28:36,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  72%|███████▏  | 2866/4000 [1:13:38<28:36,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  72%|███████▏  | 2867/4000 [1:13:39<28:34,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  72%|███████▏  | 2868/4000 [1:13:41<28:30,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  72%|███████▏  | 2869/4000 [1:13:42<28:31,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  72%|███████▏  | 2870/4000 [1:13:44<28:27,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  72%|███████▏  | 2871/4000 [1:13:45<28:22,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  72%|███████▏  | 2872/4000 [1:13:47<28:23,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  72%|███████▏  | 2873/4000 [1:13:48<28:26,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  72%|███████▏  | 2874/4000 [1:13:50<28:25,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  72%|███████▏  | 2875/4000 [1:13:51<28:19,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  72%|███████▏  | 2876/4000 [1:13:53<28:19,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  72%|███████▏  | 2877/4000 [1:13:54<28:19,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  72%|███████▏  | 2878/4000 [1:13:56<28:21,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  72%|███████▏  | 2879/4000 [1:13:57<28:16,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  72%|███████▏  | 2880/4000 [1:13:59<28:15,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  72%|███████▏  | 2881/4000 [1:14:00<28:16,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  72%|███████▏  | 2882/4000 [1:14:02<28:15,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  72%|███████▏  | 2883/4000 [1:14:04<28:14,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  72%|███████▏  | 2884/4000 [1:14:05<28:19,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  72%|███████▏  | 2885/4000 [1:14:07<28:18,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  72%|███████▏  | 2886/4000 [1:14:08<27:10,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7643285989761353
train acc: 0.76113361120224
train loss: 0.7485529184341431
train acc: 0.765999972820282
train loss: 0.7587505578994751
train acc: 0.7699999809265137
train loss: 0.7907480597496033
train acc: 0.7480000257492065


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  72%|███████▏  | 2887/4000 [1:14:10<31:49,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  72%|███████▏  | 2888/4000 [1:14:12<30:37,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  72%|███████▏  | 2889/4000 [1:14:13<29:46,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  72%|███████▏  | 2890/4000 [1:14:15<29:12,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  72%|███████▏  | 2891/4000 [1:14:16<28:47,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  72%|███████▏  | 2892/4000 [1:14:18<28:31,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  72%|███████▏  | 2893/4000 [1:14:19<28:20,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  72%|███████▏  | 2894/4000 [1:14:21<28:10,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  72%|███████▏  | 2895/4000 [1:14:22<28:09,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  72%|███████▏  | 2896/4000 [1:14:24<28:00,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  72%|███████▏  | 2897/4000 [1:14:25<27:57,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  72%|███████▏  | 2898/4000 [1:14:27<27:48,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  72%|███████▏  | 2899/4000 [1:14:28<27:55,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  72%|███████▎  | 2900/4000 [1:14:30<27:50,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  73%|███████▎  | 2901/4000 [1:14:31<27:54,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  73%|███████▎  | 2902/4000 [1:14:33<27:48,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  73%|███████▎  | 2903/4000 [1:14:34<27:46,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  73%|███████▎  | 2904/4000 [1:14:36<27:39,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  73%|███████▎  | 2905/4000 [1:14:37<27:32,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  73%|███████▎  | 2906/4000 [1:14:39<27:29,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  73%|███████▎  | 2907/4000 [1:14:40<27:27,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  73%|███████▎  | 2908/4000 [1:14:42<27:32,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  73%|███████▎  | 2909/4000 [1:14:43<27:27,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  73%|███████▎  | 2910/4000 [1:14:45<27:25,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  73%|███████▎  | 2911/4000 [1:14:47<27:29,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  73%|███████▎  | 2912/4000 [1:14:48<27:26,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  73%|███████▎  | 2913/4000 [1:14:50<27:27,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  73%|███████▎  | 2914/4000 [1:14:51<27:24,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  73%|███████▎  | 2915/4000 [1:14:53<27:23,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  73%|███████▎  | 2916/4000 [1:14:54<27:25,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  73%|███████▎  | 2917/4000 [1:14:56<27:24,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  73%|███████▎  | 2918/4000 [1:14:57<27:28,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  73%|███████▎  | 2919/4000 [1:14:59<27:22,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  73%|███████▎  | 2920/4000 [1:15:00<27:23,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  73%|███████▎  | 2921/4000 [1:15:02<27:17,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  73%|███████▎  | 2922/4000 [1:15:03<27:10,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  73%|███████▎  | 2923/4000 [1:15:05<26:15,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7696731090545654
train acc: 0.7641700506210327
train loss: 0.77138352394104
train acc: 0.753000020980835
train loss: 0.7586404085159302
train acc: 0.7639999985694885
train loss: 0.772584080696106
train acc: 0.7609999775886536


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  73%|███████▎  | 2924/4000 [1:15:07<30:45,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  73%|███████▎  | 2925/4000 [1:15:08<29:38,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  73%|███████▎  | 2926/4000 [1:15:10<28:50,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  73%|███████▎  | 2927/4000 [1:15:11<28:12,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  73%|███████▎  | 2928/4000 [1:15:13<27:52,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  73%|███████▎  | 2929/4000 [1:15:14<27:42,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  73%|███████▎  | 2930/4000 [1:15:16<27:27,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  73%|███████▎  | 2931/4000 [1:15:17<27:14,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  73%|███████▎  | 2932/4000 [1:15:19<27:09,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  73%|███████▎  | 2933/4000 [1:15:20<27:01,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  73%|███████▎  | 2934/4000 [1:15:22<26:58,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  73%|███████▎  | 2935/4000 [1:15:23<26:56,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  73%|███████▎  | 2936/4000 [1:15:25<26:56,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  73%|███████▎  | 2937/4000 [1:15:27<26:47,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  73%|███████▎  | 2938/4000 [1:15:28<26:47,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  73%|███████▎  | 2939/4000 [1:15:30<26:45,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  74%|███████▎  | 2940/4000 [1:15:31<26:44,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  74%|███████▎  | 2941/4000 [1:15:33<26:41,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  74%|███████▎  | 2942/4000 [1:15:34<26:40,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  74%|███████▎  | 2943/4000 [1:15:36<26:37,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  74%|███████▎  | 2944/4000 [1:15:37<26:37,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  74%|███████▎  | 2945/4000 [1:15:39<26:31,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  74%|███████▎  | 2946/4000 [1:15:40<26:35,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  74%|███████▎  | 2947/4000 [1:15:42<26:34,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  74%|███████▎  | 2948/4000 [1:15:43<26:35,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  74%|███████▎  | 2949/4000 [1:15:45<26:32,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  74%|███████▍  | 2950/4000 [1:15:46<26:35,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  74%|███████▍  | 2951/4000 [1:15:48<26:37,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  74%|███████▍  | 2952/4000 [1:15:49<26:34,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  74%|███████▍  | 2953/4000 [1:15:51<26:28,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  74%|███████▍  | 2954/4000 [1:15:52<26:25,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  74%|███████▍  | 2955/4000 [1:15:54<26:24,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  74%|███████▍  | 2956/4000 [1:15:55<26:27,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  74%|███████▍  | 2957/4000 [1:15:57<26:22,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  74%|███████▍  | 2958/4000 [1:15:58<26:21,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  74%|███████▍  | 2959/4000 [1:16:00<26:20,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  74%|███████▍  | 2960/4000 [1:16:01<25:23,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7249555587768555
train acc: 0.7864372730255127
train loss: 0.7872256636619568
train acc: 0.7419999837875366
train loss: 0.7738860845565796
train acc: 0.7739999890327454
train loss: 0.7683241963386536
train acc: 0.7591093182563782


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  74%|███████▍  | 2961/4000 [1:16:03<29:36,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  74%|███████▍  | 2962/4000 [1:16:05<28:30,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  74%|███████▍  | 2963/4000 [1:16:07<27:46,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  74%|███████▍  | 2964/4000 [1:16:08<27:14,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  74%|███████▍  | 2965/4000 [1:16:10<26:50,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  74%|███████▍  | 2966/4000 [1:16:11<26:38,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  74%|███████▍  | 2967/4000 [1:16:13<26:25,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  74%|███████▍  | 2968/4000 [1:16:14<26:18,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  74%|███████▍  | 2969/4000 [1:16:16<26:13,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  74%|███████▍  | 2970/4000 [1:16:17<26:03,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  74%|███████▍  | 2971/4000 [1:16:19<26:06,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  74%|███████▍  | 2972/4000 [1:16:20<25:59,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  74%|███████▍  | 2973/4000 [1:16:22<25:57,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  74%|███████▍  | 2974/4000 [1:16:23<25:50,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  74%|███████▍  | 2975/4000 [1:16:25<25:49,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  74%|███████▍  | 2976/4000 [1:16:26<25:47,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  74%|███████▍  | 2977/4000 [1:16:28<25:42,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  74%|███████▍  | 2978/4000 [1:16:29<25:43,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  74%|███████▍  | 2979/4000 [1:16:31<25:40,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  74%|███████▍  | 2980/4000 [1:16:32<25:41,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  75%|███████▍  | 2981/4000 [1:16:34<25:41,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  75%|███████▍  | 2982/4000 [1:16:35<25:39,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  75%|███████▍  | 2983/4000 [1:16:37<25:36,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  75%|███████▍  | 2984/4000 [1:16:38<25:33,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  75%|███████▍  | 2985/4000 [1:16:40<25:41,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  75%|███████▍  | 2986/4000 [1:16:41<25:37,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:  75%|███████▍  | 2987/4000 [1:16:43<25:33,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  75%|███████▍  | 2988/4000 [1:16:44<25:32,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  75%|███████▍  | 2989/4000 [1:16:46<25:27,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  75%|███████▍  | 2990/4000 [1:16:47<25:29,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  75%|███████▍  | 2991/4000 [1:16:49<25:28,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  75%|███████▍  | 2992/4000 [1:16:50<25:27,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  75%|███████▍  | 2993/4000 [1:16:52<25:28,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  75%|███████▍  | 2994/4000 [1:16:53<25:30,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  75%|███████▍  | 2995/4000 [1:16:55<25:25,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  75%|███████▍  | 2996/4000 [1:16:56<25:21,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  75%|███████▍  | 2997/4000 [1:16:58<24:28,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7481419444084167
train acc: 0.7620000243186951
train loss: 0.7480080127716064
train acc: 0.7670000195503235
train loss: 0.7794507145881653
train acc: 0.7490000128746033


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  75%|███████▍  | 2998/4000 [1:17:00<29:09,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  75%|███████▍  | 2999/4000 [1:17:02<27:58,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  75%|███████▌  | 3000/4000 [1:17:03<27:05,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  75%|███████▌  | 3001/4000 [1:17:05<26:30,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  75%|███████▌  | 3002/4000 [1:17:06<26:02,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  75%|███████▌  | 3003/4000 [1:17:08<25:46,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  75%|███████▌  | 3004/4000 [1:17:09<25:31,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  75%|███████▌  | 3005/4000 [1:17:11<25:22,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  75%|███████▌  | 3006/4000 [1:17:12<25:23,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  75%|███████▌  | 3007/4000 [1:17:14<25:14,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  75%|███████▌  | 3008/4000 [1:17:15<25:09,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  75%|███████▌  | 3009/4000 [1:17:17<25:06,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  75%|███████▌  | 3010/4000 [1:17:18<25:04,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  75%|███████▌  | 3011/4000 [1:17:20<25:00,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  75%|███████▌  | 3012/4000 [1:17:21<25:02,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  75%|███████▌  | 3013/4000 [1:17:23<25:01,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  75%|███████▌  | 3014/4000 [1:17:24<24:58,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  75%|███████▌  | 3015/4000 [1:17:26<24:51,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  75%|███████▌  | 3016/4000 [1:17:27<24:46,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  75%|███████▌  | 3017/4000 [1:17:29<24:40,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  75%|███████▌  | 3018/4000 [1:17:30<24:46,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  75%|███████▌  | 3019/4000 [1:17:32<24:47,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  76%|███████▌  | 3020/4000 [1:17:34<24:43,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  76%|███████▌  | 3021/4000 [1:17:35<24:41,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  76%|███████▌  | 3022/4000 [1:17:37<24:43,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  76%|███████▌  | 3023/4000 [1:17:38<24:36,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  76%|███████▌  | 3024/4000 [1:17:40<24:32,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  76%|███████▌  | 3025/4000 [1:17:41<24:28,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  76%|███████▌  | 3026/4000 [1:17:43<24:29,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  76%|███████▌  | 3027/4000 [1:17:44<24:31,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  76%|███████▌  | 3028/4000 [1:17:46<24:26,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  76%|███████▌  | 3029/4000 [1:17:47<24:22,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  76%|███████▌  | 3030/4000 [1:17:49<24:21,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  76%|███████▌  | 3031/4000 [1:17:50<24:22,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  76%|███████▌  | 3032/4000 [1:17:52<24:20,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  76%|███████▌  | 3033/4000 [1:17:53<24:19,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  76%|███████▌  | 3034/4000 [1:17:54<23:28,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7502820491790771
train acc: 0.7803643941879272
train loss: 0.7661901712417603
train acc: 0.7540000081062317
train loss: 0.7452239990234375
train acc: 0.7789999842643738
train loss: 0.7689594626426697
train acc: 0.7549999952316284


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  76%|███████▌  | 3035/4000 [1:17:57<27:35,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  76%|███████▌  | 3036/4000 [1:17:58<26:37,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  76%|███████▌  | 3037/4000 [1:18:00<25:52,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  76%|███████▌  | 3038/4000 [1:18:01<25:21,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  76%|███████▌  | 3039/4000 [1:18:03<24:57,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  76%|███████▌  | 3040/4000 [1:18:04<24:43,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  76%|███████▌  | 3041/4000 [1:18:06<24:41,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  76%|███████▌  | 3042/4000 [1:18:07<24:31,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  76%|███████▌  | 3043/4000 [1:18:09<24:26,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  76%|███████▌  | 3044/4000 [1:18:10<24:24,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  76%|███████▌  | 3045/4000 [1:18:12<24:15,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  76%|███████▌  | 3046/4000 [1:18:13<24:10,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  76%|███████▌  | 3047/4000 [1:18:15<24:05,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  76%|███████▌  | 3048/4000 [1:18:17<24:07,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  76%|███████▌  | 3049/4000 [1:18:18<24:01,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  76%|███████▋  | 3050/4000 [1:18:20<23:56,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  76%|███████▋  | 3051/4000 [1:18:21<23:50,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  76%|███████▋  | 3052/4000 [1:18:23<23:48,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  76%|███████▋  | 3053/4000 [1:18:24<23:49,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  76%|███████▋  | 3054/4000 [1:18:26<23:45,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  76%|███████▋  | 3055/4000 [1:18:27<23:41,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  76%|███████▋  | 3056/4000 [1:18:29<23:43,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  76%|███████▋  | 3057/4000 [1:18:30<23:40,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  76%|███████▋  | 3058/4000 [1:18:32<23:41,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  76%|███████▋  | 3059/4000 [1:18:33<23:43,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  76%|███████▋  | 3060/4000 [1:18:35<23:42,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  77%|███████▋  | 3061/4000 [1:18:36<23:40,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  77%|███████▋  | 3062/4000 [1:18:38<23:37,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  77%|███████▋  | 3063/4000 [1:18:39<23:36,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  77%|███████▋  | 3064/4000 [1:18:41<23:30,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  77%|███████▋  | 3065/4000 [1:18:42<23:33,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  77%|███████▋  | 3066/4000 [1:18:44<23:33,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  77%|███████▋  | 3067/4000 [1:18:45<23:28,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  77%|███████▋  | 3068/4000 [1:18:47<23:27,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  77%|███████▋  | 3069/4000 [1:18:48<23:25,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  77%|███████▋  | 3070/4000 [1:18:50<23:29,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  77%|███████▋  | 3071/4000 [1:18:51<22:40,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.767526388168335
train acc: 0.76113361120224
train loss: 0.7839764356613159
train acc: 0.7720000147819519
train loss: 0.7406867742538452
train acc: 0.7680000066757202
train loss: 0.7649482488632202
train acc: 0.75


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  77%|███████▋  | 3072/4000 [1:18:53<27:09,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  77%|███████▋  | 3073/4000 [1:18:55<25:56,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  77%|███████▋  | 3074/4000 [1:18:57<25:07,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  77%|███████▋  | 3075/4000 [1:18:58<24:32,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  77%|███████▋  | 3076/4000 [1:19:00<24:09,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  77%|███████▋  | 3077/4000 [1:19:01<23:54,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  77%|███████▋  | 3078/4000 [1:19:03<23:40,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  77%|███████▋  | 3079/4000 [1:19:04<23:31,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  77%|███████▋  | 3080/4000 [1:19:06<23:26,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  77%|███████▋  | 3081/4000 [1:19:07<23:20,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  77%|███████▋  | 3082/4000 [1:19:09<23:15,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  77%|███████▋  | 3083/4000 [1:19:10<23:13,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  77%|███████▋  | 3084/4000 [1:19:12<23:23,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  77%|███████▋  | 3085/4000 [1:19:13<23:12,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.52s/it]
overall:  77%|███████▋  | 3086/4000 [1:19:15<23:05,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  77%|███████▋  | 3087/4000 [1:19:16<23:04,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  77%|███████▋  | 3088/4000 [1:19:18<23:00,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  77%|███████▋  | 3089/4000 [1:19:19<22:56,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  77%|███████▋  | 3090/4000 [1:19:21<22:53,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  77%|███████▋  | 3091/4000 [1:19:22<22:53,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  77%|███████▋  | 3092/4000 [1:19:24<22:53,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  77%|███████▋  | 3093/4000 [1:19:25<22:55,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  77%|███████▋  | 3094/4000 [1:19:27<22:51,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  77%|███████▋  | 3095/4000 [1:19:28<22:48,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  77%|███████▋  | 3096/4000 [1:19:30<23:00,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  77%|███████▋  | 3097/4000 [1:19:31<22:57,  1.53s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.53s/it]
overall:  77%|███████▋  | 3098/4000 [1:19:33<22:52,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  77%|███████▋  | 3099/4000 [1:19:34<22:48,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  78%|███████▊  | 3100/4000 [1:19:36<22:41,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  78%|███████▊  | 3101/4000 [1:19:37<22:37,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  78%|███████▊  | 3102/4000 [1:19:39<22:34,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  78%|███████▊  | 3103/4000 [1:19:40<22:32,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  78%|███████▊  | 3104/4000 [1:19:42<22:32,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  78%|███████▊  | 3105/4000 [1:19:43<22:29,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  78%|███████▊  | 3106/4000 [1:19:45<22:26,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  78%|███████▊  | 3107/4000 [1:19:46<22:22,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  78%|███████▊  | 3108/4000 [1:19:48<21:32,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.8002821803092957
train acc: 0.7378542423248291
train loss: 0.7343249917030334
train acc: 0.781000018119812
train loss: 0.7543249130249023
train acc: 0.7720000147819519


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  78%|███████▊  | 3109/4000 [1:19:50<25:44,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  78%|███████▊  | 3110/4000 [1:19:52<24:44,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  78%|███████▊  | 3111/4000 [1:19:53<23:59,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  78%|███████▊  | 3112/4000 [1:19:55<23:28,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  78%|███████▊  | 3113/4000 [1:19:56<23:14,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  78%|███████▊  | 3114/4000 [1:19:58<22:59,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  78%|███████▊  | 3115/4000 [1:19:59<22:44,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  78%|███████▊  | 3116/4000 [1:20:01<22:32,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  78%|███████▊  | 3117/4000 [1:20:02<22:26,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  78%|███████▊  | 3118/4000 [1:20:04<22:20,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  78%|███████▊  | 3119/4000 [1:20:05<22:16,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  78%|███████▊  | 3120/4000 [1:20:07<22:13,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  78%|███████▊  | 3121/4000 [1:20:08<22:16,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  78%|███████▊  | 3122/4000 [1:20:10<22:14,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  78%|███████▊  | 3123/4000 [1:20:11<22:08,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  78%|███████▊  | 3124/4000 [1:20:13<22:03,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  78%|███████▊  | 3125/4000 [1:20:14<22:07,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  78%|███████▊  | 3126/4000 [1:20:16<22:02,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  78%|███████▊  | 3127/4000 [1:20:17<22:02,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  78%|███████▊  | 3128/4000 [1:20:19<21:58,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  78%|███████▊  | 3129/4000 [1:20:20<21:56,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  78%|███████▊  | 3130/4000 [1:20:22<21:54,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  78%|███████▊  | 3131/4000 [1:20:23<21:53,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  78%|███████▊  | 3132/4000 [1:20:25<21:53,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  78%|███████▊  | 3133/4000 [1:20:27<21:58,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  78%|███████▊  | 3134/4000 [1:20:28<21:53,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  78%|███████▊  | 3135/4000 [1:20:30<21:48,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  78%|███████▊  | 3136/4000 [1:20:31<21:45,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  78%|███████▊  | 3137/4000 [1:20:33<21:48,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  78%|███████▊  | 3138/4000 [1:20:34<21:46,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  78%|███████▊  | 3139/4000 [1:20:36<21:43,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  78%|███████▊  | 3140/4000 [1:20:37<21:39,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  79%|███████▊  | 3141/4000 [1:20:39<21:36,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  79%|███████▊  | 3142/4000 [1:20:40<21:40,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  79%|███████▊  | 3143/4000 [1:20:42<21:37,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  79%|███████▊  | 3144/4000 [1:20:43<21:34,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  79%|███████▊  | 3145/4000 [1:20:44<20:48,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7410914897918701
train acc: 0.7712550759315491
train loss: 0.7568260431289673
train acc: 0.7689999938011169
train loss: 0.7374187707901001
train acc: 0.7739999890327454
train loss: 0.7691677808761597
train acc: 0.7559999823570251


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  79%|███████▊  | 3146/4000 [1:20:47<24:23,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  79%|███████▊  | 3147/4000 [1:20:48<23:29,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  79%|███████▊  | 3148/4000 [1:20:50<22:50,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  79%|███████▊  | 3149/4000 [1:20:51<22:22,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  79%|███████▉  | 3150/4000 [1:20:53<22:09,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  79%|███████▉  | 3151/4000 [1:20:54<21:53,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  79%|███████▉  | 3152/4000 [1:20:56<21:43,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  79%|███████▉  | 3153/4000 [1:20:57<21:35,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  79%|███████▉  | 3154/4000 [1:20:59<21:27,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  79%|███████▉  | 3155/4000 [1:21:00<21:22,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  79%|███████▉  | 3156/4000 [1:21:02<21:21,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  79%|███████▉  | 3157/4000 [1:21:03<21:15,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  79%|███████▉  | 3158/4000 [1:21:05<21:20,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  79%|███████▉  | 3159/4000 [1:21:06<21:17,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  79%|███████▉  | 3160/4000 [1:21:08<21:12,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  79%|███████▉  | 3161/4000 [1:21:09<21:09,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  79%|███████▉  | 3162/4000 [1:21:11<21:08,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  79%|███████▉  | 3163/4000 [1:21:12<21:06,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  79%|███████▉  | 3164/4000 [1:21:14<21:06,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  79%|███████▉  | 3165/4000 [1:21:16<21:03,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  79%|███████▉  | 3166/4000 [1:21:17<21:01,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  79%|███████▉  | 3167/4000 [1:21:19<20:59,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  79%|███████▉  | 3168/4000 [1:21:20<20:57,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  79%|███████▉  | 3169/4000 [1:21:22<21:02,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  79%|███████▉  | 3170/4000 [1:21:23<21:05,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  79%|███████▉  | 3171/4000 [1:21:25<21:01,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  79%|███████▉  | 3172/4000 [1:21:26<20:56,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  79%|███████▉  | 3173/4000 [1:21:28<20:50,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  79%|███████▉  | 3174/4000 [1:21:29<20:54,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  79%|███████▉  | 3175/4000 [1:21:31<20:50,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  79%|███████▉  | 3176/4000 [1:21:32<20:46,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  79%|███████▉  | 3177/4000 [1:21:34<20:46,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  79%|███████▉  | 3178/4000 [1:21:35<20:43,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  79%|███████▉  | 3179/4000 [1:21:37<20:42,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  80%|███████▉  | 3180/4000 [1:21:38<20:38,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  80%|███████▉  | 3181/4000 [1:21:40<20:39,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  80%|███████▉  | 3182/4000 [1:21:41<19:55,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7485226988792419
train acc: 0.7702429294586182
train loss: 0.7315540313720703
train acc: 0.7680000066757202
train loss: 0.7440398931503296
train acc: 0.781000018119812
train loss: 0.77934730052948
train acc: 0.7559999823570251


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  80%|███████▉  | 3183/4000 [1:21:43<23:31,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  80%|███████▉  | 3184/4000 [1:21:45<22:35,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  80%|███████▉  | 3185/4000 [1:21:46<21:58,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  80%|███████▉  | 3186/4000 [1:21:48<21:29,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  80%|███████▉  | 3187/4000 [1:21:50<21:11,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  80%|███████▉  | 3188/4000 [1:21:51<20:58,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  80%|███████▉  | 3189/4000 [1:21:53<20:46,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  80%|███████▉  | 3190/4000 [1:21:54<20:38,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  80%|███████▉  | 3191/4000 [1:21:56<20:34,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  80%|███████▉  | 3192/4000 [1:21:57<20:32,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  80%|███████▉  | 3193/4000 [1:21:59<20:28,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  80%|███████▉  | 3194/4000 [1:22:00<20:25,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  80%|███████▉  | 3195/4000 [1:22:02<20:22,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  80%|███████▉  | 3196/4000 [1:22:03<20:23,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  80%|███████▉  | 3197/4000 [1:22:05<20:21,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  80%|███████▉  | 3198/4000 [1:22:06<20:20,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  80%|███████▉  | 3199/4000 [1:22:08<20:14,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  80%|████████  | 3200/4000 [1:22:09<20:11,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  80%|████████  | 3201/4000 [1:22:11<20:14,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  80%|████████  | 3202/4000 [1:22:12<20:11,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  80%|████████  | 3203/4000 [1:22:14<20:08,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  80%|████████  | 3204/4000 [1:22:15<20:06,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  80%|████████  | 3205/4000 [1:22:17<20:03,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  80%|████████  | 3206/4000 [1:22:18<20:01,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  80%|████████  | 3207/4000 [1:22:20<20:04,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  80%|████████  | 3208/4000 [1:22:21<20:05,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  80%|████████  | 3209/4000 [1:22:23<19:59,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  80%|████████  | 3210/4000 [1:22:24<19:54,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  80%|████████  | 3211/4000 [1:22:26<19:57,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  80%|████████  | 3212/4000 [1:22:27<19:54,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  80%|████████  | 3213/4000 [1:22:29<19:53,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  80%|████████  | 3214/4000 [1:22:30<19:52,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  80%|████████  | 3215/4000 [1:22:32<19:48,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  80%|████████  | 3216/4000 [1:22:33<19:47,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  80%|████████  | 3217/4000 [1:22:35<19:46,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  80%|████████  | 3218/4000 [1:22:37<19:52,  1.53s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.53s/it]
overall:  80%|████████  | 3219/4000 [1:22:38<19:09,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7609782814979553
train acc: 0.76113361120224
train loss: 0.7591384649276733
train acc: 0.7609999775886536
train loss: 0.7350343465805054
train acc: 0.7720000147819519


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  80%|████████  | 3220/4000 [1:22:40<22:55,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  81%|████████  | 3221/4000 [1:22:42<21:53,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  81%|████████  | 3222/4000 [1:22:43<21:10,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  81%|████████  | 3223/4000 [1:22:45<20:41,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  81%|████████  | 3224/4000 [1:22:46<20:21,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  81%|████████  | 3225/4000 [1:22:48<20:07,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  81%|████████  | 3226/4000 [1:22:49<19:56,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  81%|████████  | 3227/4000 [1:22:51<19:45,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  81%|████████  | 3228/4000 [1:22:52<19:36,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  81%|████████  | 3229/4000 [1:22:54<19:33,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  81%|████████  | 3230/4000 [1:22:55<19:30,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  81%|████████  | 3231/4000 [1:22:57<19:26,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  81%|████████  | 3232/4000 [1:22:58<19:25,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  81%|████████  | 3233/4000 [1:23:00<19:21,  1.51s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.51s/it]
overall:  81%|████████  | 3234/4000 [1:23:01<19:17,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  81%|████████  | 3235/4000 [1:23:03<19:18,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  81%|████████  | 3236/4000 [1:23:05<19:18,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  81%|████████  | 3237/4000 [1:23:06<19:18,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  81%|████████  | 3238/4000 [1:23:08<19:14,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  81%|████████  | 3239/4000 [1:23:09<19:10,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  81%|████████  | 3240/4000 [1:23:11<19:06,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  81%|████████  | 3241/4000 [1:23:12<19:07,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  81%|████████  | 3242/4000 [1:23:14<19:08,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  81%|████████  | 3243/4000 [1:23:15<19:07,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  81%|████████  | 3244/4000 [1:23:17<19:07,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  81%|████████  | 3245/4000 [1:23:18<19:05,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  81%|████████  | 3246/4000 [1:23:20<19:01,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  81%|████████  | 3247/4000 [1:23:21<18:59,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  81%|████████  | 3248/4000 [1:23:23<18:58,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  81%|████████  | 3249/4000 [1:23:24<18:57,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  81%|████████▏ | 3250/4000 [1:23:26<18:54,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  81%|████████▏ | 3251/4000 [1:23:27<18:52,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  81%|████████▏ | 3252/4000 [1:23:29<18:54,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  81%|████████▏ | 3253/4000 [1:23:30<18:51,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  81%|████████▏ | 3254/4000 [1:23:32<18:48,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  81%|████████▏ | 3255/4000 [1:23:33<18:48,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  81%|████████▏ | 3256/4000 [1:23:35<18:03,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7574319243431091
train acc: 0.7661943435668945
train loss: 0.7666100263595581
train acc: 0.7559999823570251
train loss: 0.7216541171073914
train acc: 0.777999997138977
train loss: 0.773205578327179
train acc: 0.7699999809265137


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  81%|████████▏ | 3257/4000 [1:23:37<21:09,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  81%|████████▏ | 3258/4000 [1:23:38<20:25,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  81%|████████▏ | 3259/4000 [1:23:40<19:50,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  82%|████████▏ | 3260/4000 [1:23:41<19:30,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  82%|████████▏ | 3261/4000 [1:23:43<19:13,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  82%|████████▏ | 3262/4000 [1:23:44<18:59,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  82%|████████▏ | 3263/4000 [1:23:46<18:51,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  82%|████████▏ | 3264/4000 [1:23:48<18:46,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  82%|████████▏ | 3265/4000 [1:23:49<18:38,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  82%|████████▏ | 3266/4000 [1:23:51<18:32,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  82%|████████▏ | 3267/4000 [1:23:52<18:28,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  82%|████████▏ | 3268/4000 [1:23:54<18:26,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  82%|████████▏ | 3269/4000 [1:23:55<18:24,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  82%|████████▏ | 3270/4000 [1:23:57<18:23,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  82%|████████▏ | 3271/4000 [1:23:58<18:22,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  82%|████████▏ | 3272/4000 [1:24:00<18:21,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  82%|████████▏ | 3273/4000 [1:24:01<18:19,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  82%|████████▏ | 3274/4000 [1:24:03<18:18,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  82%|████████▏ | 3275/4000 [1:24:04<18:15,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  82%|████████▏ | 3276/4000 [1:24:06<18:17,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.52s/it]
overall:  82%|████████▏ | 3277/4000 [1:24:07<18:14,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  82%|████████▏ | 3278/4000 [1:24:09<18:11,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  82%|████████▏ | 3279/4000 [1:24:10<18:09,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  82%|████████▏ | 3280/4000 [1:24:12<18:07,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  82%|████████▏ | 3281/4000 [1:24:13<18:06,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  82%|████████▏ | 3282/4000 [1:24:15<18:07,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  82%|████████▏ | 3283/4000 [1:24:16<18:02,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  82%|████████▏ | 3284/4000 [1:24:18<18:07,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  82%|████████▏ | 3285/4000 [1:24:19<18:08,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  82%|████████▏ | 3286/4000 [1:24:21<18:03,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  82%|████████▏ | 3287/4000 [1:24:22<18:01,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  82%|████████▏ | 3288/4000 [1:24:24<18:01,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  82%|████████▏ | 3289/4000 [1:24:25<17:59,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  82%|████████▏ | 3290/4000 [1:24:27<17:58,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  82%|████████▏ | 3291/4000 [1:24:28<17:53,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  82%|████████▏ | 3292/4000 [1:24:30<17:53,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  82%|████████▏ | 3293/4000 [1:24:31<17:17,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7643865942955017
train acc: 0.7621457576751709
train loss: 0.7424378395080566
train acc: 0.7699999809265137
train loss: 0.7241393327713013
train acc: 0.7870000004768372
train loss: 0.7685139179229736
train acc: 0.7480000257492065


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  82%|████████▏ | 3294/4000 [1:24:34<20:17,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.22s/it]
overall:  82%|████████▏ | 3295/4000 [1:24:35<19:27,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  82%|████████▏ | 3296/4000 [1:24:37<18:57,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  82%|████████▏ | 3297/4000 [1:24:38<18:32,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  82%|████████▏ | 3298/4000 [1:24:40<18:15,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  82%|████████▏ | 3299/4000 [1:24:41<18:01,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  82%|████████▎ | 3300/4000 [1:24:43<17:51,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  83%|████████▎ | 3301/4000 [1:24:44<17:47,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  83%|████████▎ | 3302/4000 [1:24:46<17:42,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  83%|████████▎ | 3303/4000 [1:24:47<17:37,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  83%|████████▎ | 3304/4000 [1:24:49<17:35,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  83%|████████▎ | 3305/4000 [1:24:50<17:31,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  83%|████████▎ | 3306/4000 [1:24:52<17:32,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  83%|████████▎ | 3307/4000 [1:24:53<17:26,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  83%|████████▎ | 3308/4000 [1:24:55<17:27,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  83%|████████▎ | 3309/4000 [1:24:56<17:26,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  83%|████████▎ | 3310/4000 [1:24:58<17:26,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  83%|████████▎ | 3311/4000 [1:24:59<17:24,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  83%|████████▎ | 3312/4000 [1:25:01<17:21,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  83%|████████▎ | 3313/4000 [1:25:02<17:19,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  83%|████████▎ | 3314/4000 [1:25:04<17:19,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  83%|████████▎ | 3315/4000 [1:25:05<17:19,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.52s/it]
overall:  83%|████████▎ | 3316/4000 [1:25:07<17:14,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  83%|████████▎ | 3317/4000 [1:25:08<17:12,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  83%|████████▎ | 3318/4000 [1:25:10<17:15,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  83%|████████▎ | 3319/4000 [1:25:11<17:12,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  83%|████████▎ | 3320/4000 [1:25:13<17:11,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  83%|████████▎ | 3321/4000 [1:25:14<17:07,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  83%|████████▎ | 3322/4000 [1:25:16<17:02,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  83%|████████▎ | 3323/4000 [1:25:17<16:59,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  83%|████████▎ | 3324/4000 [1:25:19<16:58,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  83%|████████▎ | 3325/4000 [1:25:20<16:56,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  83%|████████▎ | 3326/4000 [1:25:22<16:56,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  83%|████████▎ | 3327/4000 [1:25:23<16:54,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  83%|████████▎ | 3328/4000 [1:25:25<16:52,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  83%|████████▎ | 3329/4000 [1:25:26<16:50,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  83%|████████▎ | 3330/4000 [1:25:28<16:10,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.735918402671814
train acc: 0.78340083360672
train loss: 0.7558284997940063
train acc: 0.765999972820282
train loss: 0.7519646883010864
train acc: 0.7699999809265137
train loss: 0.7487788200378418
train acc: 0.75


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  83%|████████▎ | 3331/4000 [1:25:30<19:03,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  83%|████████▎ | 3332/4000 [1:25:32<18:23,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  83%|████████▎ | 3333/4000 [1:25:33<17:56,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  83%|████████▎ | 3334/4000 [1:25:35<17:32,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  83%|████████▎ | 3335/4000 [1:25:36<17:14,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  83%|████████▎ | 3336/4000 [1:25:38<17:05,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  83%|████████▎ | 3337/4000 [1:25:39<16:58,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  83%|████████▎ | 3338/4000 [1:25:41<16:55,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  83%|████████▎ | 3339/4000 [1:25:42<16:51,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  84%|████████▎ | 3340/4000 [1:25:44<16:46,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  84%|████████▎ | 3341/4000 [1:25:45<16:43,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  84%|████████▎ | 3342/4000 [1:25:47<16:40,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  84%|████████▎ | 3343/4000 [1:25:48<16:38,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  84%|████████▎ | 3344/4000 [1:25:50<16:34,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  84%|████████▎ | 3345/4000 [1:25:51<16:32,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  84%|████████▎ | 3346/4000 [1:25:53<16:29,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  84%|████████▎ | 3347/4000 [1:25:54<16:29,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  84%|████████▎ | 3348/4000 [1:25:56<16:27,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  84%|████████▎ | 3349/4000 [1:25:57<16:25,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  84%|████████▍ | 3350/4000 [1:25:59<16:22,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  84%|████████▍ | 3351/4000 [1:26:00<16:22,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  84%|████████▍ | 3352/4000 [1:26:02<16:21,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  84%|████████▍ | 3353/4000 [1:26:03<16:18,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  84%|████████▍ | 3354/4000 [1:26:05<16:17,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  84%|████████▍ | 3355/4000 [1:26:06<16:19,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  84%|████████▍ | 3356/4000 [1:26:08<16:15,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  84%|████████▍ | 3357/4000 [1:26:09<16:11,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  84%|████████▍ | 3358/4000 [1:26:11<16:09,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  84%|████████▍ | 3359/4000 [1:26:12<16:07,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  84%|████████▍ | 3360/4000 [1:26:14<16:08,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  84%|████████▍ | 3361/4000 [1:26:15<16:07,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  84%|████████▍ | 3362/4000 [1:26:17<16:06,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  84%|████████▍ | 3363/4000 [1:26:19<16:06,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  84%|████████▍ | 3364/4000 [1:26:20<16:02,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  84%|████████▍ | 3365/4000 [1:26:22<16:00,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  84%|████████▍ | 3366/4000 [1:26:23<16:00,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  84%|████████▍ | 3367/4000 [1:26:24<15:28,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7372780442237854
train acc: 0.7670000195503235
train loss: 0.752801239490509
train acc: 0.7699999809265137
train loss: 0.7494896650314331
train acc: 0.7639999985694885


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  84%|████████▍ | 3368/4000 [1:26:27<18:29,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  84%|████████▍ | 3369/4000 [1:26:28<17:42,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  84%|████████▍ | 3370/4000 [1:26:30<17:06,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  84%|████████▍ | 3371/4000 [1:26:31<16:42,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  84%|████████▍ | 3372/4000 [1:26:33<16:24,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  84%|████████▍ | 3373/4000 [1:26:34<16:13,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  84%|████████▍ | 3374/4000 [1:26:36<16:05,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  84%|████████▍ | 3375/4000 [1:26:37<16:00,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  84%|████████▍ | 3376/4000 [1:26:39<15:54,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  84%|████████▍ | 3377/4000 [1:26:40<15:51,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  84%|████████▍ | 3378/4000 [1:26:42<15:46,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  84%|████████▍ | 3379/4000 [1:26:44<15:43,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  84%|████████▍ | 3380/4000 [1:26:45<15:46,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  85%|████████▍ | 3381/4000 [1:26:47<15:39,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  85%|████████▍ | 3382/4000 [1:26:48<15:36,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  85%|████████▍ | 3383/4000 [1:26:50<15:37,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  85%|████████▍ | 3384/4000 [1:26:51<15:32,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  85%|████████▍ | 3385/4000 [1:26:53<15:28,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  85%|████████▍ | 3386/4000 [1:26:54<15:27,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  85%|████████▍ | 3387/4000 [1:26:56<15:24,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  85%|████████▍ | 3388/4000 [1:26:57<15:24,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  85%|████████▍ | 3389/4000 [1:26:59<15:24,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  85%|████████▍ | 3390/4000 [1:27:00<15:23,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  85%|████████▍ | 3391/4000 [1:27:02<15:20,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  85%|████████▍ | 3392/4000 [1:27:03<15:23,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  85%|████████▍ | 3393/4000 [1:27:05<15:22,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  85%|████████▍ | 3394/4000 [1:27:06<15:19,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  85%|████████▍ | 3395/4000 [1:27:08<15:16,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  85%|████████▍ | 3396/4000 [1:27:09<15:13,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  85%|████████▍ | 3397/4000 [1:27:11<15:11,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  85%|████████▍ | 3398/4000 [1:27:12<15:13,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  85%|████████▍ | 3399/4000 [1:27:14<15:10,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  85%|████████▌ | 3400/4000 [1:27:15<15:09,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  85%|████████▌ | 3401/4000 [1:27:17<15:07,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  85%|████████▌ | 3402/4000 [1:27:18<15:04,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  85%|████████▌ | 3403/4000 [1:27:20<15:01,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  85%|████████▌ | 3404/4000 [1:27:21<14:32,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7528879046440125
train acc: 0.7641700506210327
train loss: 0.7393449544906616
train acc: 0.7710000276565552
train loss: 0.7496182918548584
train acc: 0.7749999761581421
train loss: 0.767905592918396
train acc: 0.7559999823570251


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  85%|████████▌ | 3405/4000 [1:27:24<17:10,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.26s/it]
overall:  85%|████████▌ | 3406/4000 [1:27:25<16:29,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  85%|████████▌ | 3407/4000 [1:27:27<15:59,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  85%|████████▌ | 3408/4000 [1:27:28<15:38,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  85%|████████▌ | 3409/4000 [1:27:30<15:22,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  85%|████████▌ | 3410/4000 [1:27:31<15:12,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  85%|████████▌ | 3411/4000 [1:27:33<15:05,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  85%|████████▌ | 3412/4000 [1:27:34<14:59,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  85%|████████▌ | 3413/4000 [1:27:36<14:54,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  85%|████████▌ | 3414/4000 [1:27:37<14:48,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  85%|████████▌ | 3415/4000 [1:27:39<14:45,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  85%|████████▌ | 3416/4000 [1:27:40<14:43,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  85%|████████▌ | 3417/4000 [1:27:42<14:46,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  85%|████████▌ | 3418/4000 [1:27:43<14:44,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  85%|████████▌ | 3419/4000 [1:27:45<14:39,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  86%|████████▌ | 3420/4000 [1:27:46<14:36,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  86%|████████▌ | 3421/4000 [1:27:48<14:36,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  86%|████████▌ | 3422/4000 [1:27:49<14:35,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  86%|████████▌ | 3423/4000 [1:27:51<14:34,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  86%|████████▌ | 3424/4000 [1:27:52<14:32,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  86%|████████▌ | 3425/4000 [1:27:54<14:32,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  86%|████████▌ | 3426/4000 [1:27:55<14:30,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  86%|████████▌ | 3427/4000 [1:27:57<14:28,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  86%|████████▌ | 3428/4000 [1:27:58<14:24,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  86%|████████▌ | 3429/4000 [1:28:00<14:26,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  86%|████████▌ | 3430/4000 [1:28:01<14:23,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  86%|████████▌ | 3431/4000 [1:28:03<14:18,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  86%|████████▌ | 3432/4000 [1:28:04<14:17,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  86%|████████▌ | 3433/4000 [1:28:06<14:17,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  86%|████████▌ | 3434/4000 [1:28:07<14:16,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  86%|████████▌ | 3435/4000 [1:28:09<14:13,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  86%|████████▌ | 3436/4000 [1:28:10<14:11,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  86%|████████▌ | 3437/4000 [1:28:12<14:11,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  86%|████████▌ | 3438/4000 [1:28:13<14:10,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  86%|████████▌ | 3439/4000 [1:28:15<14:10,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  86%|████████▌ | 3440/4000 [1:28:16<14:07,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  86%|████████▌ | 3441/4000 [1:28:18<13:36,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7101192474365234
train acc: 0.7773279547691345
train loss: 0.7510370016098022
train acc: 0.7680000066757202
train loss: 0.7597258687019348
train acc: 0.7680000066757202
train loss: 0.7351939678192139
train acc: 0.7789999842643738


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  86%|████████▌ | 3442/4000 [1:28:20<16:17,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  86%|████████▌ | 3443/4000 [1:28:22<15:37,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  86%|████████▌ | 3444/4000 [1:28:23<15:04,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  86%|████████▌ | 3445/4000 [1:28:25<14:43,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  86%|████████▌ | 3446/4000 [1:28:26<14:29,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  86%|████████▌ | 3447/4000 [1:28:28<14:17,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  86%|████████▌ | 3448/4000 [1:28:29<14:08,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  86%|████████▌ | 3449/4000 [1:28:31<14:03,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  86%|████████▋ | 3450/4000 [1:28:32<14:00,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  86%|████████▋ | 3451/4000 [1:28:34<13:56,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  86%|████████▋ | 3452/4000 [1:28:35<13:54,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  86%|████████▋ | 3453/4000 [1:28:37<13:49,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  86%|████████▋ | 3454/4000 [1:28:38<13:48,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  86%|████████▋ | 3455/4000 [1:28:40<13:47,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  86%|████████▋ | 3456/4000 [1:28:41<13:42,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  86%|████████▋ | 3457/4000 [1:28:43<13:40,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  86%|████████▋ | 3458/4000 [1:28:44<13:39,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  86%|████████▋ | 3459/4000 [1:28:46<13:39,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  86%|████████▋ | 3460/4000 [1:28:47<13:39,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  87%|████████▋ | 3461/4000 [1:28:49<13:37,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  87%|████████▋ | 3462/4000 [1:28:51<13:36,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  87%|████████▋ | 3463/4000 [1:28:52<13:33,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  87%|████████▋ | 3464/4000 [1:28:54<13:31,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  87%|████████▋ | 3465/4000 [1:28:55<13:30,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  87%|████████▋ | 3466/4000 [1:28:57<13:30,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  87%|████████▋ | 3467/4000 [1:28:58<13:28,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  87%|████████▋ | 3468/4000 [1:29:00<13:24,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  87%|████████▋ | 3469/4000 [1:29:01<13:22,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  87%|████████▋ | 3470/4000 [1:29:03<13:19,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  87%|████████▋ | 3471/4000 [1:29:04<13:17,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  87%|████████▋ | 3472/4000 [1:29:06<13:17,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  87%|████████▋ | 3473/4000 [1:29:07<13:15,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  87%|████████▋ | 3474/4000 [1:29:09<13:14,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  87%|████████▋ | 3475/4000 [1:29:10<13:12,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  87%|████████▋ | 3476/4000 [1:29:12<13:12,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  87%|████████▋ | 3477/4000 [1:29:13<13:11,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  87%|████████▋ | 3478/4000 [1:29:15<12:41,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7593734264373779
train acc: 0.7793522477149963
train loss: 0.7372742891311646
train acc: 0.7599999904632568
train loss: 0.7243050336837769
train acc: 0.7760000228881836


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  87%|████████▋ | 3479/4000 [1:29:17<15:17,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.35s/it]
overall:  87%|████████▋ | 3480/4000 [1:29:19<14:35,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  87%|████████▋ | 3481/4000 [1:29:20<14:07,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  87%|████████▋ | 3482/4000 [1:29:22<13:47,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  87%|████████▋ | 3483/4000 [1:29:23<13:33,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  87%|████████▋ | 3484/4000 [1:29:25<13:22,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  87%|████████▋ | 3485/4000 [1:29:26<13:12,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  87%|████████▋ | 3486/4000 [1:29:28<13:07,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  87%|████████▋ | 3487/4000 [1:29:29<13:04,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  87%|████████▋ | 3488/4000 [1:29:31<13:00,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  87%|████████▋ | 3489/4000 [1:29:32<12:56,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  87%|████████▋ | 3490/4000 [1:29:34<12:51,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  87%|████████▋ | 3491/4000 [1:29:35<12:54,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  87%|████████▋ | 3492/4000 [1:29:37<12:50,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  87%|████████▋ | 3493/4000 [1:29:38<12:47,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  87%|████████▋ | 3494/4000 [1:29:40<12:44,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  87%|████████▋ | 3495/4000 [1:29:41<12:42,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  87%|████████▋ | 3496/4000 [1:29:43<12:41,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  87%|████████▋ | 3497/4000 [1:29:44<12:38,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  87%|████████▋ | 3498/4000 [1:29:46<12:38,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  87%|████████▋ | 3499/4000 [1:29:47<12:37,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  88%|████████▊ | 3500/4000 [1:29:49<12:39,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  88%|████████▊ | 3501/4000 [1:29:50<12:36,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  88%|████████▊ | 3502/4000 [1:29:52<12:32,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  88%|████████▊ | 3503/4000 [1:29:53<12:35,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  88%|████████▊ | 3504/4000 [1:29:55<12:31,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  88%|████████▊ | 3505/4000 [1:29:56<12:29,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  88%|████████▊ | 3506/4000 [1:29:58<12:26,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  88%|████████▊ | 3507/4000 [1:29:59<12:25,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  88%|████████▊ | 3508/4000 [1:30:01<12:24,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  88%|████████▊ | 3509/4000 [1:30:02<12:22,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  88%|████████▊ | 3510/4000 [1:30:04<12:21,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  88%|████████▊ | 3511/4000 [1:30:05<12:19,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  88%|████████▊ | 3512/4000 [1:30:07<12:17,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  88%|████████▊ | 3513/4000 [1:30:08<12:15,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  88%|████████▊ | 3514/4000 [1:30:10<12:13,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  88%|████████▊ | 3515/4000 [1:30:11<11:49,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.763578474521637
train acc: 0.7469635605812073
train loss: 0.7276250720024109
train acc: 0.7850000262260437
train loss: 0.773613691329956
train acc: 0.7549999952316284
train loss: 0.7286149263381958
train acc: 0.7889999747276306


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:30:14<13:51,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  88%|████████▊ | 3517/4000 [1:30:15<13:19,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  88%|████████▊ | 3518/4000 [1:30:17<12:59,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  88%|████████▊ | 3519/4000 [1:30:18<12:45,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  88%|████████▊ | 3520/4000 [1:30:20<12:31,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  88%|████████▊ | 3521/4000 [1:30:21<12:23,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  88%|████████▊ | 3522/4000 [1:30:23<12:18,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  88%|████████▊ | 3523/4000 [1:30:24<12:11,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  88%|████████▊ | 3524/4000 [1:30:26<12:07,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  88%|████████▊ | 3525/4000 [1:30:27<12:02,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  88%|████████▊ | 3526/4000 [1:30:29<11:58,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  88%|████████▊ | 3527/4000 [1:30:30<11:56,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  88%|████████▊ | 3528/4000 [1:30:32<12:01,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  88%|████████▊ | 3529/4000 [1:30:33<11:55,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  88%|████████▊ | 3530/4000 [1:30:35<11:51,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  88%|████████▊ | 3531/4000 [1:30:36<12:10,  1.56s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.56s/it]
overall:  88%|████████▊ | 3532/4000 [1:30:38<12:01,  1.54s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.54s/it]
overall:  88%|████████▊ | 3533/4000 [1:30:39<11:56,  1.53s/it]

train:  49%|████▊     | 18/37 [00:28<00:29,  1.53s/it]
overall:  88%|████████▊ | 3534/4000 [1:30:41<11:52,  1.53s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.53s/it]
overall:  88%|████████▊ | 3535/4000 [1:30:43<11:47,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  88%|████████▊ | 3536/4000 [1:30:44<11:44,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  88%|████████▊ | 3537/4000 [1:30:46<11:41,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  88%|████████▊ | 3538/4000 [1:30:47<11:40,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  88%|████████▊ | 3539/4000 [1:30:49<11:39,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  88%|████████▊ | 3540/4000 [1:30:50<11:40,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  89%|████████▊ | 3541/4000 [1:30:52<11:36,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  89%|████████▊ | 3542/4000 [1:30:53<11:34,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  89%|████████▊ | 3543/4000 [1:30:55<11:34,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  89%|████████▊ | 3544/4000 [1:30:56<11:31,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  89%|████████▊ | 3545/4000 [1:30:58<11:31,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  89%|████████▊ | 3546/4000 [1:30:59<11:28,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  89%|████████▊ | 3547/4000 [1:31:01<11:25,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  89%|████████▊ | 3548/4000 [1:31:02<11:24,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  89%|████████▊ | 3549/4000 [1:31:04<11:24,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  89%|████████▉ | 3550/4000 [1:31:05<11:23,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  89%|████████▉ | 3551/4000 [1:31:07<11:20,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  89%|████████▉ | 3552/4000 [1:31:08<10:55,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.7168166041374207
train acc: 0.7753036618232727
train loss: 0.7542828321456909
train acc: 0.7599999904632568
train loss: 0.7408096194267273
train acc: 0.7609999775886536
train loss: 0.7625094652175903
train acc: 0.7699999809265137


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  89%|████████▉ | 3553/4000 [1:31:10<12:47,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  89%|████████▉ | 3554/4000 [1:31:12<12:17,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  89%|████████▉ | 3555/4000 [1:31:13<11:57,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  89%|████████▉ | 3556/4000 [1:31:15<11:42,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  89%|████████▉ | 3557/4000 [1:31:16<11:30,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  89%|████████▉ | 3558/4000 [1:31:18<11:23,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  89%|████████▉ | 3559/4000 [1:31:20<11:17,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  89%|████████▉ | 3560/4000 [1:31:21<11:17,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  89%|████████▉ | 3561/4000 [1:31:23<11:12,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  89%|████████▉ | 3562/4000 [1:31:24<11:09,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  89%|████████▉ | 3563/4000 [1:31:26<11:06,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  89%|████████▉ | 3564/4000 [1:31:27<11:03,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  89%|████████▉ | 3565/4000 [1:31:29<11:02,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  89%|████████▉ | 3566/4000 [1:31:30<10:58,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  89%|████████▉ | 3567/4000 [1:31:32<10:56,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  89%|████████▉ | 3568/4000 [1:31:33<10:54,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  89%|████████▉ | 3569/4000 [1:31:35<10:49,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  89%|████████▉ | 3570/4000 [1:31:36<10:47,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  89%|████████▉ | 3571/4000 [1:31:38<10:46,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  89%|████████▉ | 3572/4000 [1:31:39<10:47,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  89%|████████▉ | 3573/4000 [1:31:41<10:46,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  89%|████████▉ | 3574/4000 [1:31:42<10:43,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  89%|████████▉ | 3575/4000 [1:31:44<10:43,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  89%|████████▉ | 3576/4000 [1:31:45<10:42,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  89%|████████▉ | 3577/4000 [1:31:47<10:41,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  89%|████████▉ | 3578/4000 [1:31:48<10:39,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  89%|████████▉ | 3579/4000 [1:31:50<10:37,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  90%|████████▉ | 3580/4000 [1:31:51<10:36,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  90%|████████▉ | 3581/4000 [1:31:53<10:34,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  90%|████████▉ | 3582/4000 [1:31:54<10:31,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  90%|████████▉ | 3583/4000 [1:31:56<10:31,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  90%|████████▉ | 3584/4000 [1:31:57<10:32,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  90%|████████▉ | 3585/4000 [1:31:59<10:28,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  90%|████████▉ | 3586/4000 [1:32:00<10:26,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  90%|████████▉ | 3587/4000 [1:32:02<10:24,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  90%|████████▉ | 3588/4000 [1:32:03<10:24,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  90%|████████▉ | 3589/4000 [1:32:05<10:02,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7137051224708557
train acc: 0.7935222387313843
train loss: 0.7447969913482666
train acc: 0.7739999890327454
train loss: 0.732886016368866
train acc: 0.7680000066757202


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  90%|████████▉ | 3590/4000 [1:32:07<11:44,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  90%|████████▉ | 3591/4000 [1:32:09<11:19,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  90%|████████▉ | 3592/4000 [1:32:10<11:06,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  90%|████████▉ | 3593/4000 [1:32:12<10:50,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  90%|████████▉ | 3594/4000 [1:32:13<10:40,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  90%|████████▉ | 3595/4000 [1:32:15<10:30,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  90%|████████▉ | 3596/4000 [1:32:16<10:24,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  90%|████████▉ | 3597/4000 [1:32:18<10:20,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  90%|████████▉ | 3598/4000 [1:32:19<10:17,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  90%|████████▉ | 3599/4000 [1:32:21<10:12,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  90%|█████████ | 3600/4000 [1:32:22<10:10,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  90%|█████████ | 3601/4000 [1:32:24<10:07,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  90%|█████████ | 3602/4000 [1:32:25<10:03,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  90%|█████████ | 3603/4000 [1:32:27<10:01,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  90%|█████████ | 3604/4000 [1:32:28<09:59,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  90%|█████████ | 3605/4000 [1:32:30<09:58,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  90%|█████████ | 3606/4000 [1:32:31<09:58,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  90%|█████████ | 3607/4000 [1:32:33<09:57,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  90%|█████████ | 3608/4000 [1:32:34<09:54,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  90%|█████████ | 3609/4000 [1:32:36<09:52,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  90%|█████████ | 3610/4000 [1:32:38<09:52,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  90%|█████████ | 3611/4000 [1:32:39<09:51,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  90%|█████████ | 3612/4000 [1:32:41<09:49,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  90%|█████████ | 3613/4000 [1:32:42<09:47,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  90%|█████████ | 3614/4000 [1:32:44<09:47,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  90%|█████████ | 3615/4000 [1:32:45<09:46,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  90%|█████████ | 3616/4000 [1:32:47<09:44,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  90%|█████████ | 3617/4000 [1:32:48<09:41,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  90%|█████████ | 3618/4000 [1:32:50<09:40,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  90%|█████████ | 3619/4000 [1:32:51<09:39,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  90%|█████████ | 3620/4000 [1:32:53<09:36,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  91%|█████████ | 3621/4000 [1:32:54<09:34,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  91%|█████████ | 3622/4000 [1:32:56<09:31,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  91%|█████████ | 3623/4000 [1:32:57<09:30,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  91%|█████████ | 3624/4000 [1:32:59<09:29,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  91%|█████████ | 3625/4000 [1:33:00<09:26,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  91%|█████████ | 3626/4000 [1:33:02<09:05,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7791533470153809
train acc: 0.7601214647293091
train loss: 0.7253211736679077
train acc: 0.7620000243186951
train loss: 0.7634581327438354
train acc: 0.7580000162124634
train loss: 0.7294400930404663
train acc: 0.7720000147819519


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  91%|█████████ | 3627/4000 [1:33:04<10:40,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  91%|█████████ | 3628/4000 [1:33:05<10:15,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  91%|█████████ | 3629/4000 [1:33:07<09:57,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  91%|█████████ | 3630/4000 [1:33:08<09:46,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  91%|█████████ | 3631/4000 [1:33:10<09:37,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  91%|█████████ | 3632/4000 [1:33:11<09:30,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  91%|█████████ | 3633/4000 [1:33:13<09:23,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  91%|█████████ | 3634/4000 [1:33:15<09:20,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  91%|█████████ | 3635/4000 [1:33:16<09:17,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  91%|█████████ | 3636/4000 [1:33:18<09:13,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  91%|█████████ | 3637/4000 [1:33:19<09:11,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  91%|█████████ | 3638/4000 [1:33:21<09:08,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  91%|█████████ | 3639/4000 [1:33:22<09:09,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  91%|█████████ | 3640/4000 [1:33:24<09:07,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  91%|█████████ | 3641/4000 [1:33:25<09:05,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  91%|█████████ | 3642/4000 [1:33:27<09:01,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  91%|█████████ | 3643/4000 [1:33:28<08:59,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  91%|█████████ | 3644/4000 [1:33:30<08:57,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  91%|█████████ | 3645/4000 [1:33:31<08:56,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  91%|█████████ | 3646/4000 [1:33:33<08:56,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.52s/it]
overall:  91%|█████████ | 3647/4000 [1:33:34<08:53,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  91%|█████████ | 3648/4000 [1:33:36<08:52,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  91%|█████████ | 3649/4000 [1:33:37<08:50,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  91%|█████████▏| 3650/4000 [1:33:39<08:48,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  91%|█████████▏| 3651/4000 [1:33:40<08:49,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  91%|█████████▏| 3652/4000 [1:33:42<08:46,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  91%|█████████▏| 3653/4000 [1:33:43<08:44,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  91%|█████████▏| 3654/4000 [1:33:45<08:42,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  91%|█████████▏| 3655/4000 [1:33:46<08:40,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  91%|█████████▏| 3656/4000 [1:33:48<08:38,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  91%|█████████▏| 3657/4000 [1:33:49<08:37,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  91%|█████████▏| 3658/4000 [1:33:51<08:36,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  91%|█████████▏| 3659/4000 [1:33:52<08:34,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  92%|█████████▏| 3660/4000 [1:33:54<08:34,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  92%|█████████▏| 3661/4000 [1:33:55<08:33,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  92%|█████████▏| 3662/4000 [1:33:57<08:33,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  92%|█████████▏| 3663/4000 [1:33:58<08:13,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7301271557807922
train acc: 0.78340083360672
train loss: 0.7187690138816833
train acc: 0.7799999713897705
train loss: 0.7643299102783203
train acc: 0.7630000114440918
train loss: 0.7434438467025757
train acc: 0.7799999713897705


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  92%|█████████▏| 3664/4000 [1:34:01<09:37,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  92%|█████████▏| 3665/4000 [1:34:02<09:17,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  92%|█████████▏| 3666/4000 [1:34:04<09:01,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  92%|█████████▏| 3667/4000 [1:34:05<08:48,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  92%|█████████▏| 3668/4000 [1:34:07<08:39,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  92%|█████████▏| 3669/4000 [1:34:08<08:32,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  92%|█████████▏| 3670/4000 [1:34:10<08:27,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  92%|█████████▏| 3671/4000 [1:34:11<08:25,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  92%|█████████▏| 3672/4000 [1:34:13<08:21,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  92%|█████████▏| 3673/4000 [1:34:14<08:18,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  92%|█████████▏| 3674/4000 [1:34:16<08:15,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  92%|█████████▏| 3675/4000 [1:34:17<08:14,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  92%|█████████▏| 3676/4000 [1:34:19<08:11,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  92%|█████████▏| 3677/4000 [1:34:20<08:11,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  92%|█████████▏| 3678/4000 [1:34:22<08:08,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  92%|█████████▏| 3679/4000 [1:34:23<08:05,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  92%|█████████▏| 3680/4000 [1:34:25<08:04,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  92%|█████████▏| 3681/4000 [1:34:26<08:02,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  92%|█████████▏| 3682/4000 [1:34:28<08:00,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  92%|█████████▏| 3683/4000 [1:34:29<07:57,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  92%|█████████▏| 3684/4000 [1:34:31<07:56,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  92%|█████████▏| 3685/4000 [1:34:32<07:55,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  92%|█████████▏| 3686/4000 [1:34:34<07:55,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  92%|█████████▏| 3687/4000 [1:34:35<07:53,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  92%|█████████▏| 3688/4000 [1:34:37<07:51,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  92%|█████████▏| 3689/4000 [1:34:38<07:50,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  92%|█████████▏| 3690/4000 [1:34:40<07:49,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  92%|█████████▏| 3691/4000 [1:34:41<07:46,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  92%|█████████▏| 3692/4000 [1:34:43<07:46,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  92%|█████████▏| 3693/4000 [1:34:44<07:44,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  92%|█████████▏| 3694/4000 [1:34:46<07:43,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  92%|█████████▏| 3695/4000 [1:34:47<07:41,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  92%|█████████▏| 3696/4000 [1:34:49<07:40,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  92%|█████████▏| 3697/4000 [1:34:50<07:39,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  92%|█████████▏| 3698/4000 [1:34:52<07:37,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  92%|█████████▏| 3699/4000 [1:34:54<07:36,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  92%|█████████▎| 3700/4000 [1:34:55<07:18,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7365403175354004
train acc: 0.7712550759315491
train loss: 0.7093708515167236
train acc: 0.7820000052452087
train loss: 0.7630323171615601
train acc: 0.75
train loss: 0.7451081871986389
train acc: 0.7793522477149963


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  93%|█████████▎| 3701/4000 [1:34:57<08:42,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.29s/it]
overall:  93%|█████████▎| 3702/4000 [1:34:59<08:20,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  93%|█████████▎| 3703/4000 [1:35:00<08:05,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  93%|█████████▎| 3704/4000 [1:35:02<07:53,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  93%|█████████▎| 3705/4000 [1:35:03<07:43,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  93%|█████████▎| 3706/4000 [1:35:05<07:36,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  93%|█████████▎| 3707/4000 [1:35:06<07:30,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  93%|█████████▎| 3708/4000 [1:35:08<07:26,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  93%|█████████▎| 3709/4000 [1:35:09<07:24,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  93%|█████████▎| 3710/4000 [1:35:11<07:22,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  93%|█████████▎| 3711/4000 [1:35:12<07:19,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  93%|█████████▎| 3712/4000 [1:35:14<07:16,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  93%|█████████▎| 3713/4000 [1:35:15<07:15,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  93%|█████████▎| 3714/4000 [1:35:17<07:14,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  93%|█████████▎| 3715/4000 [1:35:18<07:13,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  93%|█████████▎| 3716/4000 [1:35:20<07:11,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  93%|█████████▎| 3717/4000 [1:35:21<07:08,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  93%|█████████▎| 3718/4000 [1:35:23<07:05,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  93%|█████████▎| 3719/4000 [1:35:25<07:03,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  93%|█████████▎| 3720/4000 [1:35:26<07:02,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  93%|█████████▎| 3721/4000 [1:35:28<07:01,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  93%|█████████▎| 3722/4000 [1:35:29<07:00,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  93%|█████████▎| 3723/4000 [1:35:31<06:58,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  93%|█████████▎| 3724/4000 [1:35:32<06:56,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  93%|█████████▎| 3725/4000 [1:35:34<06:56,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  93%|█████████▎| 3726/4000 [1:35:35<06:55,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  93%|█████████▎| 3727/4000 [1:35:37<06:54,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  93%|█████████▎| 3728/4000 [1:35:38<06:52,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  93%|█████████▎| 3729/4000 [1:35:40<06:49,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  93%|█████████▎| 3730/4000 [1:35:41<06:49,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  93%|█████████▎| 3731/4000 [1:35:43<06:47,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  93%|█████████▎| 3732/4000 [1:35:44<06:44,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  93%|█████████▎| 3733/4000 [1:35:46<06:43,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  93%|█████████▎| 3734/4000 [1:35:47<06:42,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  93%|█████████▎| 3735/4000 [1:35:49<06:42,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  93%|█████████▎| 3736/4000 [1:35:50<06:40,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  93%|█████████▎| 3737/4000 [1:35:52<06:25,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7291345596313477
train acc: 0.7730000019073486
train loss: 0.7600407004356384
train acc: 0.7570000290870667
train loss: 0.7535160183906555
train acc: 0.7689999938011169


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  93%|█████████▎| 3738/4000 [1:35:54<07:31,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  93%|█████████▎| 3739/4000 [1:35:55<07:12,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  94%|█████████▎| 3740/4000 [1:35:57<06:59,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  94%|█████████▎| 3741/4000 [1:35:58<06:50,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.61s/it]
overall:  94%|█████████▎| 3742/4000 [1:36:00<06:42,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  94%|█████████▎| 3743/4000 [1:36:01<06:36,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  94%|█████████▎| 3744/4000 [1:36:03<06:32,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  94%|█████████▎| 3745/4000 [1:36:04<06:30,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  94%|█████████▎| 3746/4000 [1:36:06<06:27,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  94%|█████████▎| 3747/4000 [1:36:08<06:25,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  94%|█████████▎| 3748/4000 [1:36:09<06:22,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  94%|█████████▎| 3749/4000 [1:36:11<06:21,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  94%|█████████▍| 3750/4000 [1:36:12<06:19,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  94%|█████████▍| 3751/4000 [1:36:14<06:18,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  94%|█████████▍| 3752/4000 [1:36:15<06:17,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  94%|█████████▍| 3753/4000 [1:36:17<06:15,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  94%|█████████▍| 3754/4000 [1:36:18<06:12,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  94%|█████████▍| 3755/4000 [1:36:20<06:10,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  94%|█████████▍| 3756/4000 [1:36:21<06:09,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  94%|█████████▍| 3757/4000 [1:36:23<06:09,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.52s/it]
overall:  94%|█████████▍| 3758/4000 [1:36:24<06:06,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  94%|█████████▍| 3759/4000 [1:36:26<06:04,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  94%|█████████▍| 3760/4000 [1:36:27<06:01,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  94%|█████████▍| 3761/4000 [1:36:29<05:59,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  94%|█████████▍| 3762/4000 [1:36:30<05:59,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  94%|█████████▍| 3763/4000 [1:36:32<05:58,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  94%|█████████▍| 3764/4000 [1:36:33<05:57,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  94%|█████████▍| 3765/4000 [1:36:35<05:55,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  94%|█████████▍| 3766/4000 [1:36:36<05:53,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  94%|█████████▍| 3767/4000 [1:36:38<05:51,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  94%|█████████▍| 3768/4000 [1:36:39<05:50,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  94%|█████████▍| 3769/4000 [1:36:41<05:49,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  94%|█████████▍| 3770/4000 [1:36:42<05:48,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  94%|█████████▍| 3771/4000 [1:36:44<05:46,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  94%|█████████▍| 3772/4000 [1:36:45<05:45,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  94%|█████████▍| 3773/4000 [1:36:47<05:43,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  94%|█████████▍| 3774/4000 [1:36:48<05:29,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7254985570907593
train acc: 0.7742915153503418
train loss: 0.7484299540519714
train acc: 0.7509999871253967
train loss: 0.7189671397209167
train acc: 0.7870000004768372
train loss: 0.7340974807739258
train acc: 0.7720000147819519


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  94%|█████████▍| 3775/4000 [1:36:51<06:33,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  94%|█████████▍| 3776/4000 [1:36:52<06:15,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  94%|█████████▍| 3777/4000 [1:36:54<06:02,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  94%|█████████▍| 3778/4000 [1:36:55<05:52,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  94%|█████████▍| 3779/4000 [1:36:57<05:45,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  94%|█████████▍| 3780/4000 [1:36:58<05:41,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  95%|█████████▍| 3781/4000 [1:37:00<05:37,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  95%|█████████▍| 3782/4000 [1:37:01<05:34,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  95%|█████████▍| 3783/4000 [1:37:03<05:32,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  95%|█████████▍| 3784/4000 [1:37:04<05:29,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  95%|█████████▍| 3785/4000 [1:37:06<05:27,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  95%|█████████▍| 3786/4000 [1:37:07<05:26,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  95%|█████████▍| 3787/4000 [1:37:09<05:25,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  95%|█████████▍| 3788/4000 [1:37:10<05:22,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.52s/it]
overall:  95%|█████████▍| 3789/4000 [1:37:12<05:20,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  95%|█████████▍| 3790/4000 [1:37:13<05:18,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  95%|█████████▍| 3791/4000 [1:37:15<05:16,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  95%|█████████▍| 3792/4000 [1:37:16<05:14,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  95%|█████████▍| 3793/4000 [1:37:18<05:12,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  95%|█████████▍| 3794/4000 [1:37:19<05:12,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  95%|█████████▍| 3795/4000 [1:37:21<05:10,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  95%|█████████▍| 3796/4000 [1:37:22<05:09,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  95%|█████████▍| 3797/4000 [1:37:24<05:07,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  95%|█████████▍| 3798/4000 [1:37:25<05:05,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  95%|█████████▍| 3799/4000 [1:37:27<05:04,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  95%|█████████▌| 3800/4000 [1:37:29<05:03,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  95%|█████████▌| 3801/4000 [1:37:30<05:01,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  95%|█████████▌| 3802/4000 [1:37:32<05:00,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  95%|█████████▌| 3803/4000 [1:37:33<04:58,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  95%|█████████▌| 3804/4000 [1:37:35<04:56,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  95%|█████████▌| 3805/4000 [1:37:36<04:54,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  95%|█████████▌| 3806/4000 [1:37:38<04:53,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  95%|█████████▌| 3807/4000 [1:37:39<04:51,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  95%|█████████▌| 3808/4000 [1:37:41<04:50,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  95%|█████████▌| 3809/4000 [1:37:42<04:48,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  95%|█████████▌| 3810/4000 [1:37:44<04:47,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  95%|█████████▌| 3811/4000 [1:37:45<04:36,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7764952182769775
train acc: 0.7601214647293091
train loss: 0.7331687211990356
train acc: 0.781000018119812
train loss: 0.7486711144447327
train acc: 0.765999972820282
train loss: 0.6934351921081543
train acc: 0.7910000085830688


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  95%|█████████▌| 3812/4000 [1:37:47<05:21,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  95%|█████████▌| 3813/4000 [1:37:49<05:09,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  95%|█████████▌| 3814/4000 [1:37:50<05:01,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  95%|█████████▌| 3815/4000 [1:37:52<04:53,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  95%|█████████▌| 3816/4000 [1:37:53<04:47,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  95%|█████████▌| 3817/4000 [1:37:55<04:43,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  95%|█████████▌| 3818/4000 [1:37:56<04:39,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  95%|█████████▌| 3819/4000 [1:37:58<04:37,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  96%|█████████▌| 3820/4000 [1:37:59<04:35,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  96%|█████████▌| 3821/4000 [1:38:01<04:32,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  96%|█████████▌| 3822/4000 [1:38:02<04:30,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  96%|█████████▌| 3823/4000 [1:38:04<04:28,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  96%|█████████▌| 3824/4000 [1:38:05<04:26,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  96%|█████████▌| 3825/4000 [1:38:07<04:25,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  96%|█████████▌| 3826/4000 [1:38:08<04:24,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  96%|█████████▌| 3827/4000 [1:38:10<04:21,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  96%|█████████▌| 3828/4000 [1:38:12<04:19,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  96%|█████████▌| 3829/4000 [1:38:13<04:18,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  96%|█████████▌| 3830/4000 [1:38:15<04:16,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  96%|█████████▌| 3831/4000 [1:38:16<04:15,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  96%|█████████▌| 3832/4000 [1:38:18<04:14,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  96%|█████████▌| 3833/4000 [1:38:19<04:12,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  96%|█████████▌| 3834/4000 [1:38:21<04:10,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  96%|█████████▌| 3835/4000 [1:38:22<04:09,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  96%|█████████▌| 3836/4000 [1:38:24<04:08,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  96%|█████████▌| 3837/4000 [1:38:25<04:06,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  96%|█████████▌| 3838/4000 [1:38:27<04:07,  1.53s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.53s/it]
overall:  96%|█████████▌| 3839/4000 [1:38:28<04:04,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  96%|█████████▌| 3840/4000 [1:38:30<04:03,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  96%|█████████▌| 3841/4000 [1:38:31<04:01,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  96%|█████████▌| 3842/4000 [1:38:33<04:00,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  96%|█████████▌| 3843/4000 [1:38:34<03:58,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  96%|█████████▌| 3844/4000 [1:38:36<03:57,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  96%|█████████▌| 3845/4000 [1:38:37<03:55,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  96%|█████████▌| 3846/4000 [1:38:39<03:52,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  96%|█████████▌| 3847/4000 [1:38:40<03:51,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  96%|█████████▌| 3848/4000 [1:38:42<03:41,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7502119541168213
train acc: 0.7580971717834473
train loss: 0.7305645942687988
train acc: 0.781000018119812
train loss: 0.7269934415817261
train acc: 0.7799999713897705


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  96%|█████████▌| 3849/4000 [1:38:44<04:22,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.29s/it]
overall:  96%|█████████▋| 3850/4000 [1:38:46<04:10,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  96%|█████████▋| 3851/4000 [1:38:47<04:01,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  96%|█████████▋| 3852/4000 [1:38:49<03:55,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  96%|█████████▋| 3853/4000 [1:38:50<03:51,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  96%|█████████▋| 3854/4000 [1:38:52<03:47,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  96%|█████████▋| 3855/4000 [1:38:53<03:44,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.56s/it]
overall:  96%|█████████▋| 3856/4000 [1:38:55<03:41,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  96%|█████████▋| 3857/4000 [1:38:56<03:39,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  96%|█████████▋| 3858/4000 [1:38:58<03:36,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  96%|█████████▋| 3859/4000 [1:38:59<03:34,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  96%|█████████▋| 3860/4000 [1:39:01<03:33,  1.53s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.53s/it]
overall:  97%|█████████▋| 3861/4000 [1:39:02<03:31,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  97%|█████████▋| 3862/4000 [1:39:04<03:29,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  97%|█████████▋| 3863/4000 [1:39:05<03:27,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  97%|█████████▋| 3864/4000 [1:39:07<03:26,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  97%|█████████▋| 3865/4000 [1:39:08<03:24,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  97%|█████████▋| 3866/4000 [1:39:10<03:23,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  97%|█████████▋| 3867/4000 [1:39:11<03:21,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  97%|█████████▋| 3868/4000 [1:39:13<03:19,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  97%|█████████▋| 3869/4000 [1:39:14<03:17,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  97%|█████████▋| 3870/4000 [1:39:16<03:16,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  97%|█████████▋| 3871/4000 [1:39:17<03:15,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  97%|█████████▋| 3872/4000 [1:39:19<03:14,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  97%|█████████▋| 3873/4000 [1:39:20<03:12,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  97%|█████████▋| 3874/4000 [1:39:22<03:11,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  97%|█████████▋| 3875/4000 [1:39:23<03:09,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  97%|█████████▋| 3876/4000 [1:39:25<03:08,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  97%|█████████▋| 3877/4000 [1:39:27<03:07,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  97%|█████████▋| 3878/4000 [1:39:28<03:05,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  97%|█████████▋| 3879/4000 [1:39:30<03:03,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  97%|█████████▋| 3880/4000 [1:39:31<03:02,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  97%|█████████▋| 3881/4000 [1:39:33<03:00,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  97%|█████████▋| 3882/4000 [1:39:34<02:59,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  97%|█████████▋| 3883/4000 [1:39:36<02:57,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  97%|█████████▋| 3884/4000 [1:39:37<02:56,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  97%|█████████▋| 3885/4000 [1:39:38<02:48,  1.47s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.755853533744812
train acc: 0.7621457576751709
train loss: 0.7363916635513306
train acc: 0.7739999890327454
train loss: 0.7276505827903748
train acc: 0.7670000195503235
train loss: 0.7287113666534424
train acc: 0.7889999747276306


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  97%|█████████▋| 3886/4000 [1:39:41<03:15,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  97%|█████████▋| 3887/4000 [1:39:42<03:07,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  97%|█████████▋| 3888/4000 [1:39:44<03:00,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  97%|█████████▋| 3889/4000 [1:39:45<02:55,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  97%|█████████▋| 3890/4000 [1:39:47<02:52,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  97%|█████████▋| 3891/4000 [1:39:48<02:48,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  97%|█████████▋| 3892/4000 [1:39:50<02:45,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  97%|█████████▋| 3893/4000 [1:39:51<02:43,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  97%|█████████▋| 3894/4000 [1:39:53<02:41,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  97%|█████████▋| 3895/4000 [1:39:54<02:39,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  97%|█████████▋| 3896/4000 [1:39:56<02:37,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  97%|█████████▋| 3897/4000 [1:39:57<02:35,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  97%|█████████▋| 3898/4000 [1:39:59<02:34,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  97%|█████████▋| 3899/4000 [1:40:00<02:33,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  98%|█████████▊| 3900/4000 [1:40:02<02:31,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  98%|█████████▊| 3901/4000 [1:40:03<02:29,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  98%|█████████▊| 3902/4000 [1:40:05<02:28,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  98%|█████████▊| 3903/4000 [1:40:07<02:26,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  98%|█████████▊| 3904/4000 [1:40:08<02:25,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  98%|█████████▊| 3905/4000 [1:40:10<02:23,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  98%|█████████▊| 3906/4000 [1:40:11<02:21,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  98%|█████████▊| 3907/4000 [1:40:13<02:20,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  98%|█████████▊| 3908/4000 [1:40:14<02:19,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  98%|█████████▊| 3909/4000 [1:40:16<02:17,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  98%|█████████▊| 3910/4000 [1:40:17<02:16,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  98%|█████████▊| 3911/4000 [1:40:19<02:14,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  98%|█████████▊| 3912/4000 [1:40:20<02:13,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  98%|█████████▊| 3913/4000 [1:40:22<02:11,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  98%|█████████▊| 3914/4000 [1:40:23<02:10,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  98%|█████████▊| 3915/4000 [1:40:25<02:08,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  98%|█████████▊| 3916/4000 [1:40:26<02:07,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  98%|█████████▊| 3917/4000 [1:40:28<02:05,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  98%|█████████▊| 3918/4000 [1:40:29<02:03,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  98%|█████████▊| 3919/4000 [1:40:31<02:02,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  98%|█████████▊| 3920/4000 [1:40:32<02:01,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  98%|█████████▊| 3921/4000 [1:40:34<01:59,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  98%|█████████▊| 3922/4000 [1:40:35<01:53,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7808994054794312
train acc: 0.7469635605812073
train loss: 0.7099165320396423
train acc: 0.7870000004768372
train loss: 0.7522255778312683
train acc: 0.7649999856948853
train loss: 0.7206452488899231
train acc: 0.7829999923706055


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  98%|█████████▊| 3923/4000 [1:40:38<02:15,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  98%|█████████▊| 3924/4000 [1:40:39<02:07,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  98%|█████████▊| 3925/4000 [1:40:41<02:02,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  98%|█████████▊| 3926/4000 [1:40:42<01:58,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  98%|█████████▊| 3927/4000 [1:40:44<01:54,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  98%|█████████▊| 3928/4000 [1:40:45<01:51,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  98%|█████████▊| 3929/4000 [1:40:47<01:49,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  98%|█████████▊| 3930/4000 [1:40:48<01:47,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  98%|█████████▊| 3931/4000 [1:40:50<01:45,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  98%|█████████▊| 3932/4000 [1:40:51<01:43,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  98%|█████████▊| 3933/4000 [1:40:53<01:41,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  98%|█████████▊| 3934/4000 [1:40:54<01:40,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  98%|█████████▊| 3935/4000 [1:40:56<01:39,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  98%|█████████▊| 3936/4000 [1:40:57<01:37,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.52s/it]
overall:  98%|█████████▊| 3937/4000 [1:40:59<01:35,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  98%|█████████▊| 3938/4000 [1:41:00<01:34,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  98%|█████████▊| 3939/4000 [1:41:02<01:32,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  98%|█████████▊| 3940/4000 [1:41:03<01:30,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  99%|█████████▊| 3941/4000 [1:41:05<01:29,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  99%|█████████▊| 3942/4000 [1:41:06<01:27,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  99%|█████████▊| 3943/4000 [1:41:08<01:26,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  99%|█████████▊| 3944/4000 [1:41:09<01:24,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  99%|█████████▊| 3945/4000 [1:41:11<01:23,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  99%|█████████▊| 3946/4000 [1:41:12<01:21,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  99%|█████████▊| 3947/4000 [1:41:14<01:20,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  99%|█████████▊| 3948/4000 [1:41:15<01:18,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  99%|█████████▊| 3949/4000 [1:41:17<01:17,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  99%|█████████▉| 3950/4000 [1:41:18<01:15,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  99%|█████████▉| 3951/4000 [1:41:20<01:14,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  99%|█████████▉| 3952/4000 [1:41:21<01:12,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  99%|█████████▉| 3953/4000 [1:41:23<01:11,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  99%|█████████▉| 3954/4000 [1:41:24<01:09,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  99%|█████████▉| 3955/4000 [1:41:26<01:08,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  99%|█████████▉| 3956/4000 [1:41:27<01:06,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  99%|█████████▉| 3957/4000 [1:41:29<01:04,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  99%|█████████▉| 3958/4000 [1:41:31<01:03,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  99%|█████████▉| 3959/4000 [1:41:32<00:59,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7140616774559021
train acc: 0.7904858589172363
train loss: 0.7404586672782898
train acc: 0.7720000147819519
train loss: 0.7373310327529907
train acc: 0.7710000276565552


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  99%|█████████▉| 3960/4000 [1:41:34<01:10,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.35s/it]
overall:  99%|█████████▉| 3961/4000 [1:41:36<01:05,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.86s/it]
overall:  99%|█████████▉| 3962/4000 [1:41:37<01:02,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  99%|█████████▉| 3963/4000 [1:41:39<00:59,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  99%|█████████▉| 3964/4000 [1:41:40<00:56,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  99%|█████████▉| 3965/4000 [1:41:42<00:54,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  99%|█████████▉| 3966/4000 [1:41:43<00:52,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  99%|█████████▉| 3967/4000 [1:41:45<00:50,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  99%|█████████▉| 3968/4000 [1:41:46<00:48,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  99%|█████████▉| 3969/4000 [1:41:48<00:47,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  99%|█████████▉| 3970/4000 [1:41:49<00:45,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  99%|█████████▉| 3971/4000 [1:41:51<00:44,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  99%|█████████▉| 3972/4000 [1:41:52<00:42,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  99%|█████████▉| 3973/4000 [1:41:54<00:40,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  99%|█████████▉| 3974/4000 [1:41:56<00:39,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  99%|█████████▉| 3975/4000 [1:41:57<00:37,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  99%|█████████▉| 3976/4000 [1:41:59<00:36,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  99%|█████████▉| 3977/4000 [1:42:00<00:34,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  99%|█████████▉| 3978/4000 [1:42:02<00:33,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  99%|█████████▉| 3979/4000 [1:42:03<00:31,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall: 100%|█████████▉| 3980/4000 [1:42:05<00:30,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall: 100%|█████████▉| 3981/4000 [1:42:06<00:28,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall: 100%|█████████▉| 3982/4000 [1:42:08<00:27,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall: 100%|█████████▉| 3983/4000 [1:42:09<00:25,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall: 100%|█████████▉| 3984/4000 [1:42:11<00:24,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall: 100%|█████████▉| 3985/4000 [1:42:12<00:22,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall: 100%|█████████▉| 3986/4000 [1:42:14<00:21,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall: 100%|█████████▉| 3987/4000 [1:42:15<00:19,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall: 100%|█████████▉| 3988/4000 [1:42:17<00:18,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall: 100%|█████████▉| 3989/4000 [1:42:18<00:16,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall: 100%|█████████▉| 3990/4000 [1:42:20<00:15,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall: 100%|█████████▉| 3991/4000 [1:42:21<00:13,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall: 100%|█████████▉| 3992/4000 [1:42:23<00:12,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall: 100%|█████████▉| 3993/4000 [1:42:24<00:10,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall: 100%|█████████▉| 3994/4000 [1:42:26<00:09,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall: 100%|█████████▉| 3995/4000 [1:42:27<00:07,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall: 100%|█████████▉| 3996/4000 [1:42:29<00:05,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 0.7467976212501526
train acc: 0.7672064900398254
train loss: 0.7693415284156799
train acc: 0.7519999742507935
train loss: 0.7222847938537598
train acc: 0.7889999747276306
train loss: 0.7168012857437134
train acc: 0.7760000228881836


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall: 100%|█████████▉| 3997/4000 [1:42:31<00:05,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall: 100%|█████████▉| 3998/4000 [1:42:33<00:03,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall: 100%|█████████▉| 3999/4000 [1:42:34<00:01,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]train loss: 0.7384694218635559
train acc: 0.7702429294586182



test:   0%|          | 0/15 [00:00<?, ?it/s]


test:   7%|▋         | 1/15 [00:02<00:32,  2.33s/it]


test:  13%|█▎        | 2/15 [00:03<00:23,  1.80s/it]


test:  20%|██        | 3/15 [00:05<00:19,  1.63s/it]


test:  27%|██▋       | 4/15 [00:06<00:16,  1.54s/it]


test:  33%|███▎      | 5/15 [00:08<00:14,  1.50s/it]


test:  40%|████      | 6/15 [00:09<00:13,  1.47s/it]


test:  47%|████▋     | 7/15 [00:10<00:11,  1.45s/it]


test:  53%|█████▎    | 8/15 [00:12<00:10,  1.44s/it]


test:  60%|██████    | 9/15 [00:13<00:08,  1.43s/it]


test:  67%|██████▋   | 10/15 [00:15<00:07,  1.43s/it]


test:  73%|███████▎  | 11/15 [00:16<00:05,  1.43s/it]


test:  80%|████████  | 12/15 [00:17<00:04,  1.43s/it]


test:  87%|████████▋ | 13/15 [00:19<00:02,  1.43s/it]


test:  93%|█████████▎| 14/15 [00:20<00:01,  1.42s/it]
test: 100%|██████████| 15/15 [00:20<00:00,  1.40s/it]

                                                              

                                                     

overall: 100%|█████████▉| 3999/4000 [1:42:57<00:01,  1.63s/it]

train:   8%|▊         | 3/37 [00:27<00:57,  1.69s/it]
                                                              

                                                     

overall: 100%|█████████▉| 3999/4000 [1:42:57<00:01,  1.63s/it]

train:   8%|▊         | 3/37 [00:27<00:57,  1.69s/it]
overall: 100%|██████████| 4000/4000 [1:42:57<00:00,  7.93s/it]

train:  11%|█         | 4/37 [00:27<05:28,  9.95s/it]
train:  11%|█         | 4/37 [00:28<03:52,  7.05s/it]

overall: 100%|██████████| 4000/4000 [1:42:57<00:00,  1.54s/it]
test loss: 1.0722657442092896
test acc: 0.6348754167556763
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt