[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
Loading model from HuggingFace Hub m-a-p/MERT-v1-95M

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train:  89%|████████▉ | 33/37 [00:50<00:05,  1.45s/it]
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train:  92%|█████████▏| 34/37 [00:51<00:04,  1.45s/it]
overall:   1%|          | 35/4000 [00:53<1:35:51,  1.45s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.45s/it]
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train:  97%|█████████▋| 36/37 [00:54<00:01,  1.45s/it]
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train: 100%|██████████| 37/37 [00:55<00:00,  1.40s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 2.976134777069092
train acc: 0.08399999886751175
train loss: 2.877666473388672
train acc: 0.13199999928474426
train loss: 2.764739990234375
train acc: 0.1420000046491623


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overall:   2%|▏         | 61/4000 [01:31<1:35:41,  1.46s/it]

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overall:   2%|▏         | 63/4000 [01:34<1:35:46,  1.46s/it]

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overall:   2%|▏         | 66/4000 [01:39<1:35:50,  1.46s/it]

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overall:   2%|▏         | 67/4000 [01:40<1:35:52,  1.46s/it]

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overall:   2%|▏         | 68/4000 [01:42<1:35:53,  1.46s/it]

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overall:   2%|▏         | 69/4000 [01:43<1:35:58,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:   2%|▏         | 70/4000 [01:45<1:35:46,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:   2%|▏         | 71/4000 [01:46<1:35:42,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:   2%|▏         | 72/4000 [01:48<1:35:58,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.47s/it]
overall:   2%|▏         | 73/4000 [01:49<1:35:53,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:   2%|▏         | 74/4000 [01:50<1:32:18,  1.41s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.41s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 2.6803531646728516
train acc: 0.25809717178344727
train loss: 2.5806753635406494
train acc: 0.2939999997615814
train loss: 2.4952070713043213
train acc: 0.31299999356269836
train loss: 2.4483730792999268
train acc: 0.3089999854564667


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overall:   2%|▏         | 75/4000 [01:53<1:49:44,  1.68s/it]

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overall:   2%|▏         | 76/4000 [01:54<1:45:40,  1.62s/it]

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overall:   2%|▏         | 77/4000 [01:56<1:42:33,  1.57s/it]

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overall:   2%|▏         | 78/4000 [01:57<1:40:30,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:   2%|▏         | 79/4000 [01:58<1:39:05,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:   2%|▏         | 80/4000 [02:00<1:38:21,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:   2%|▏         | 81/4000 [02:01<1:37:55,  1.50s/it]

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overall:   2%|▏         | 82/4000 [02:03<1:37:25,  1.49s/it]

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overall:   2%|▏         | 83/4000 [02:04<1:37:06,  1.49s/it]

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overall:   2%|▏         | 84/4000 [02:06<1:36:40,  1.48s/it]

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overall:   2%|▏         | 85/4000 [02:07<1:36:24,  1.48s/it]

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overall:   2%|▏         | 86/4000 [02:09<1:36:11,  1.47s/it]

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overall:   2%|▏         | 87/4000 [02:10<1:36:30,  1.48s/it]

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overall:   2%|▏         | 88/4000 [02:12<1:36:11,  1.48s/it]

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overall:   2%|▏         | 89/4000 [02:13<1:36:09,  1.48s/it]

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overall:   2%|▏         | 90/4000 [02:15<1:35:54,  1.47s/it]

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overall:   2%|▏         | 91/4000 [02:16<1:35:49,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:   2%|▏         | 92/4000 [02:18<1:35:37,  1.47s/it]

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overall:   2%|▏         | 93/4000 [02:19<1:35:30,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:   2%|▏         | 94/4000 [02:21<1:35:33,  1.47s/it]

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overall:   2%|▏         | 95/4000 [02:22<1:35:46,  1.47s/it]

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overall:   2%|▏         | 96/4000 [02:23<1:35:48,  1.47s/it]

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overall:   2%|▏         | 97/4000 [02:25<1:35:58,  1.48s/it]

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overall:   2%|▏         | 98/4000 [02:26<1:35:57,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:   2%|▏         | 99/4000 [02:28<1:36:23,  1.48s/it]

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overall:   2%|▎         | 100/4000 [02:29<1:36:12,  1.48s/it]

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overall:   3%|▎         | 101/4000 [02:31<1:36:04,  1.48s/it]

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overall:   3%|▎         | 102/4000 [02:32<1:35:56,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.48s/it]
overall:   3%|▎         | 103/4000 [02:34<1:36:03,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:   3%|▎         | 104/4000 [02:35<1:36:10,  1.48s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.48s/it]
overall:   3%|▎         | 105/4000 [02:37<1:36:16,  1.48s/it]

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overall:   3%|▎         | 106/4000 [02:38<1:36:17,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.48s/it]
overall:   3%|▎         | 107/4000 [02:40<1:36:27,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:   3%|▎         | 108/4000 [02:41<1:36:23,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.49s/it]
overall:   3%|▎         | 109/4000 [02:43<1:36:08,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:   3%|▎         | 110/4000 [02:44<1:36:06,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.48s/it]
overall:   3%|▎         | 111/4000 [02:46<1:32:23,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 2.3826353549957275
train acc: 0.34210526943206787
train loss: 2.2990384101867676
train acc: 0.414000004529953
train loss: 2.258723497390747
train acc: 0.42500001192092896
train loss: 2.2222533226013184
train acc: 0.3799999952316284


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   3%|▎         | 112/4000 [02:48<1:49:28,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:   3%|▎         | 113/4000 [02:49<1:45:41,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:   3%|▎         | 114/4000 [02:51<1:43:07,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:   3%|▎         | 115/4000 [02:52<1:40:58,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:   3%|▎         | 116/4000 [02:54<1:39:22,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:   3%|▎         | 117/4000 [02:55<1:38:20,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:   3%|▎         | 118/4000 [02:57<1:37:46,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:   3%|▎         | 119/4000 [02:58<1:37:12,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:   3%|▎         | 120/4000 [03:00<1:37:05,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:   3%|▎         | 121/4000 [03:01<1:37:02,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:   3%|▎         | 122/4000 [03:03<1:36:56,  1.50s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.50s/it]
overall:   3%|▎         | 123/4000 [03:04<1:36:39,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:   3%|▎         | 124/4000 [03:06<1:36:34,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.50s/it]
overall:   3%|▎         | 125/4000 [03:07<1:36:27,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:   3%|▎         | 126/4000 [03:09<1:36:28,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:   3%|▎         | 127/4000 [03:10<1:36:13,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:   3%|▎         | 128/4000 [03:12<1:35:59,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:   3%|▎         | 129/4000 [03:13<1:36:06,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:   3%|▎         | 130/4000 [03:15<1:36:11,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.49s/it]
overall:   3%|▎         | 131/4000 [03:16<1:36:04,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:   3%|▎         | 132/4000 [03:18<1:35:58,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:   3%|▎         | 133/4000 [03:19<1:35:56,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:   3%|▎         | 134/4000 [03:21<1:36:06,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:   3%|▎         | 135/4000 [03:22<1:36:00,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:   3%|▎         | 136/4000 [03:24<1:36:01,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:   3%|▎         | 137/4000 [03:25<1:36:09,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:   3%|▎         | 138/4000 [03:27<1:36:15,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.50s/it]
overall:   3%|▎         | 139/4000 [03:28<1:36:01,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:   4%|▎         | 140/4000 [03:30<1:36:02,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:   4%|▎         | 141/4000 [03:31<1:35:52,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:   4%|▎         | 142/4000 [03:33<1:35:46,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:   4%|▎         | 143/4000 [03:34<1:35:38,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:   4%|▎         | 144/4000 [03:36<1:36:01,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:   4%|▎         | 145/4000 [03:37<1:35:52,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:   4%|▎         | 146/4000 [03:39<1:35:57,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:   4%|▎         | 147/4000 [03:40<1:35:50,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:   4%|▎         | 148/4000 [03:41<1:32:08,  1.44s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 2.1622586250305176
train acc: 0.43522268533706665
train loss: 2.078270196914673
train acc: 0.4740000069141388
train loss: 2.0889344215393066
train acc: 0.4560000002384186


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   4%|▎         | 149/4000 [03:44<1:51:29,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:   4%|▍         | 150/4000 [03:45<1:47:03,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:   4%|▍         | 151/4000 [03:47<1:43:52,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:   4%|▍         | 152/4000 [03:48<1:41:34,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:   4%|▍         | 153/4000 [03:50<1:39:48,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:   4%|▍         | 154/4000 [03:51<1:38:22,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:   4%|▍         | 155/4000 [03:53<1:37:29,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:   4%|▍         | 156/4000 [03:54<1:36:52,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:   4%|▍         | 157/4000 [03:56<1:36:36,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.51s/it]
overall:   4%|▍         | 158/4000 [03:57<1:36:25,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:   4%|▍         | 159/4000 [03:59<1:36:15,  1.50s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.50s/it]
overall:   4%|▍         | 160/4000 [04:00<1:36:08,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:   4%|▍         | 161/4000 [04:02<1:36:24,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:   4%|▍         | 162/4000 [04:03<1:36:13,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:   4%|▍         | 163/4000 [04:05<1:36:02,  1.50s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.50s/it]
overall:   4%|▍         | 164/4000 [04:06<1:35:51,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:   4%|▍         | 165/4000 [04:08<1:35:42,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.50s/it]
overall:   4%|▍         | 166/4000 [04:09<1:35:32,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:   4%|▍         | 167/4000 [04:11<1:35:23,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.49s/it]
overall:   4%|▍         | 168/4000 [04:12<1:35:22,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:   4%|▍         | 169/4000 [04:14<1:35:19,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:   4%|▍         | 170/4000 [04:15<1:35:17,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:   4%|▍         | 171/4000 [04:17<1:35:07,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:   4%|▍         | 172/4000 [04:18<1:35:06,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:   4%|▍         | 173/4000 [04:20<1:35:33,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.50s/it]
overall:   4%|▍         | 174/4000 [04:21<1:35:36,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:   4%|▍         | 175/4000 [04:23<1:35:34,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:14,  1.50s/it]
overall:   4%|▍         | 176/4000 [04:24<1:35:22,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:   4%|▍         | 177/4000 [04:26<1:35:18,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:11,  1.50s/it]
overall:   4%|▍         | 178/4000 [04:27<1:35:19,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:   4%|▍         | 179/4000 [04:29<1:35:13,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.50s/it]
overall:   4%|▍         | 180/4000 [04:30<1:35:04,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:   5%|▍         | 181/4000 [04:32<1:35:03,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.49s/it]
overall:   5%|▍         | 182/4000 [04:33<1:35:13,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:   5%|▍         | 183/4000 [04:35<1:35:14,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.50s/it]
overall:   5%|▍         | 184/4000 [04:36<1:35:15,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:   5%|▍         | 185/4000 [04:37<1:31:40,  1.44s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 2.022620916366577
train acc: 0.5303643941879272
train loss: 2.0020976066589355
train acc: 0.4909999966621399
train loss: 1.966334581375122
train acc: 0.49900001287460327
train loss: 1.9269806146621704
train acc: 0.5360000133514404


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   5%|▍         | 186/4000 [04:40<1:48:16,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:   5%|▍         | 187/4000 [04:41<1:44:17,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:   5%|▍         | 188/4000 [04:43<1:41:33,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:   5%|▍         | 189/4000 [04:44<1:39:38,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:   5%|▍         | 190/4000 [04:46<1:38:28,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:   5%|▍         | 191/4000 [04:47<1:37:26,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:   5%|▍         | 192/4000 [04:49<1:37:15,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:   5%|▍         | 193/4000 [04:50<1:36:46,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:   5%|▍         | 194/4000 [04:52<1:36:44,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:   5%|▍         | 195/4000 [04:53<1:36:09,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:   5%|▍         | 196/4000 [04:55<1:35:45,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:   5%|▍         | 197/4000 [04:56<1:35:31,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:   5%|▍         | 198/4000 [04:58<1:36:27,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:   5%|▍         | 199/4000 [04:59<1:35:59,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:   5%|▌         | 200/4000 [05:01<1:35:41,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:   5%|▌         | 201/4000 [05:02<1:35:25,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:   5%|▌         | 202/4000 [05:04<1:35:17,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:   5%|▌         | 203/4000 [05:05<1:35:06,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:   5%|▌         | 204/4000 [05:07<1:35:24,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:   5%|▌         | 205/4000 [05:08<1:35:13,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:   5%|▌         | 206/4000 [05:10<1:35:06,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:   5%|▌         | 207/4000 [05:11<1:35:01,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:   5%|▌         | 208/4000 [05:13<1:34:54,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:   5%|▌         | 209/4000 [05:14<1:34:53,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:   5%|▌         | 210/4000 [05:16<1:35:06,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:   5%|▌         | 211/4000 [05:17<1:35:01,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:   5%|▌         | 212/4000 [05:19<1:34:50,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:   5%|▌         | 213/4000 [05:20<1:34:46,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:   5%|▌         | 214/4000 [05:22<1:34:48,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:   5%|▌         | 215/4000 [05:23<1:34:37,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:   5%|▌         | 216/4000 [05:25<1:34:56,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:   5%|▌         | 217/4000 [05:26<1:34:51,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:   5%|▌         | 218/4000 [05:28<1:35:02,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:   5%|▌         | 219/4000 [05:29<1:34:55,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:   6%|▌         | 220/4000 [05:31<1:34:53,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:   6%|▌         | 221/4000 [05:32<1:34:38,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:   6%|▌         | 222/4000 [05:34<1:31:01,  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: 1.8872848749160767
train acc: 0.546558678150177
train loss: 1.8366912603378296
train acc: 0.5600000023841858
train loss: 1.8266502618789673
train acc: 0.5460000038146973
train loss: 1.828748345375061
train acc: 0.5490000247955322


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   6%|▌         | 223/4000 [05:36<1:47:34,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:   6%|▌         | 224/4000 [05:38<1:43:38,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:   6%|▌         | 225/4000 [05:39<1:40:57,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:   6%|▌         | 226/4000 [05:41<1:39:14,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:   6%|▌         | 227/4000 [05:42<1:37:43,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:   6%|▌         | 228/4000 [05:44<1:37:01,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:   6%|▌         | 229/4000 [05:45<1:36:12,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:   6%|▌         | 230/4000 [05:47<1:36:06,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:   6%|▌         | 231/4000 [05:48<1:35:39,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:   6%|▌         | 232/4000 [05:50<1:35:30,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:   6%|▌         | 233/4000 [05:51<1:35:12,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:   6%|▌         | 234/4000 [05:53<1:34:55,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:   6%|▌         | 235/4000 [05:54<1:34:48,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:   6%|▌         | 236/4000 [05:56<1:34:47,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:   6%|▌         | 237/4000 [05:57<1:34:29,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:   6%|▌         | 238/4000 [05:59<1:34:17,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:   6%|▌         | 239/4000 [06:00<1:34:13,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:   6%|▌         | 240/4000 [06:02<1:34:13,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:   6%|▌         | 241/4000 [06:03<1:34:02,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:   6%|▌         | 242/4000 [06:05<1:34:01,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:   6%|▌         | 243/4000 [06:06<1:33:54,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.50s/it]
overall:   6%|▌         | 244/4000 [06:08<1:33:54,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:   6%|▌         | 245/4000 [06:09<1:33:52,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:   6%|▌         | 246/4000 [06:11<1:33:48,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:   6%|▌         | 247/4000 [06:12<1:33:52,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:   6%|▌         | 248/4000 [06:14<1:34:09,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:   6%|▌         | 249/4000 [06:15<1:34:00,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:   6%|▋         | 250/4000 [06:17<1:33:55,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:   6%|▋         | 251/4000 [06:18<1:33:49,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:   6%|▋         | 252/4000 [06:20<1:33:44,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:   6%|▋         | 253/4000 [06:21<1:33:35,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.50s/it]
overall:   6%|▋         | 254/4000 [06:23<1:33:39,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:   6%|▋         | 255/4000 [06:24<1:33:42,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:   6%|▋         | 256/4000 [06:26<1:33:37,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:   6%|▋         | 257/4000 [06:27<1:33:30,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.50s/it]
overall:   6%|▋         | 258/4000 [06:29<1:33:38,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:   6%|▋         | 259/4000 [06:30<1:30:01,  1.44s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 1.7596156597137451
train acc: 0.5840080976486206
train loss: 1.7607958316802979
train acc: 0.5569999814033508
train loss: 1.738149642944336
train acc: 0.5690000057220459


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   6%|▋         | 260/4000 [06:32<1:46:35,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:   7%|▋         | 261/4000 [06:34<1:42:51,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:   7%|▋         | 262/4000 [06:35<1:40:02,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:   7%|▋         | 263/4000 [06:37<1:38:01,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:   7%|▋         | 264/4000 [06:38<1:36:35,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:   7%|▋         | 265/4000 [06:40<1:35:39,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:   7%|▋         | 266/4000 [06:41<1:34:51,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:   7%|▋         | 267/4000 [06:43<1:34:25,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:   7%|▋         | 268/4000 [06:44<1:34:23,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:   7%|▋         | 269/4000 [06:46<1:34:26,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:   7%|▋         | 270/4000 [06:47<1:34:26,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:   7%|▋         | 271/4000 [06:49<1:34:00,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:   7%|▋         | 272/4000 [06:51<1:34:53,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:   7%|▋         | 273/4000 [06:52<1:34:37,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:   7%|▋         | 274/4000 [06:54<1:34:14,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:   7%|▋         | 275/4000 [06:55<1:33:58,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:   7%|▋         | 276/4000 [06:57<1:33:36,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:   7%|▋         | 277/4000 [06:58<1:33:44,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:   7%|▋         | 278/4000 [07:00<1:33:39,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:   7%|▋         | 279/4000 [07:01<1:33:40,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:   7%|▋         | 280/4000 [07:03<1:33:47,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:   7%|▋         | 281/4000 [07:04<1:33:33,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:   7%|▋         | 282/4000 [07:06<1:33:36,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:   7%|▋         | 283/4000 [07:07<1:33:31,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:   7%|▋         | 284/4000 [07:09<1:33:59,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:   7%|▋         | 285/4000 [07:10<1:33:44,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:   7%|▋         | 286/4000 [07:12<1:33:23,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:   7%|▋         | 287/4000 [07:13<1:33:17,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:   7%|▋         | 288/4000 [07:15<1:33:21,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:   7%|▋         | 289/4000 [07:16<1:33:09,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:   7%|▋         | 290/4000 [07:18<1:32:57,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:   7%|▋         | 291/4000 [07:19<1:32:52,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:   7%|▋         | 292/4000 [07:21<1:32:54,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:   7%|▋         | 293/4000 [07:22<1:32:46,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:   7%|▋         | 294/4000 [07:24<1:32:38,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.50s/it]
overall:   7%|▋         | 295/4000 [07:25<1:32:37,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:   7%|▋         | 296/4000 [07:26<1:29:02,  1.44s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 1.6693696975708008
train acc: 0.6042510271072388
train loss: 1.6493206024169922
train acc: 0.6169999837875366
train loss: 1.644354224205017
train acc: 0.6050000190734863
train loss: 1.6447250843048096
train acc: 0.5979999899864197


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   7%|▋         | 297/4000 [07:29<1:45:27,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:   7%|▋         | 298/4000 [07:30<1:41:36,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:   7%|▋         | 299/4000 [07:32<1:38:51,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:   8%|▊         | 300/4000 [07:33<1:36:57,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:   8%|▊         | 301/4000 [07:35<1:35:48,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:   8%|▊         | 302/4000 [07:36<1:35:16,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:   8%|▊         | 303/4000 [07:38<1:34:29,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:   8%|▊         | 304/4000 [07:39<1:34:07,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:   8%|▊         | 305/4000 [07:41<1:33:50,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:   8%|▊         | 306/4000 [07:42<1:33:22,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:   8%|▊         | 307/4000 [07:44<1:33:48,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:   8%|▊         | 308/4000 [07:45<1:33:21,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:   8%|▊         | 309/4000 [07:47<1:33:24,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:   8%|▊         | 310/4000 [07:48<1:33:04,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:   8%|▊         | 311/4000 [07:50<1:33:04,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:   8%|▊         | 312/4000 [07:51<1:32:49,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:   8%|▊         | 313/4000 [07:53<1:32:54,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:   8%|▊         | 314/4000 [07:54<1:32:44,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:   8%|▊         | 315/4000 [07:56<1:32:30,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:   8%|▊         | 316/4000 [07:57<1:32:19,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:   8%|▊         | 317/4000 [07:59<1:32:14,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:   8%|▊         | 318/4000 [08:00<1:32:08,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:   8%|▊         | 319/4000 [08:02<1:32:04,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:   8%|▊         | 320/4000 [08:03<1:32:00,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:   8%|▊         | 321/4000 [08:05<1:32:20,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:   8%|▊         | 322/4000 [08:06<1:32:21,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:   8%|▊         | 323/4000 [08:08<1:32:22,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:   8%|▊         | 324/4000 [08:09<1:32:13,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:   8%|▊         | 325/4000 [08:11<1:32:26,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:   8%|▊         | 326/4000 [08:13<1:34:55,  1.55s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.55s/it]
overall:   8%|▊         | 327/4000 [08:14<1:33:53,  1.53s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.53s/it]
overall:   8%|▊         | 328/4000 [08:16<1:33:14,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:   8%|▊         | 329/4000 [08:17<1:32:46,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:   8%|▊         | 330/4000 [08:19<1:32:30,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:   8%|▊         | 331/4000 [08:20<1:32:25,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:   8%|▊         | 332/4000 [08:22<1:32:17,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:   8%|▊         | 333/4000 [08:23<1:28:37,  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: 1.5687386989593506
train acc: 0.6295546293258667
train loss: 1.5738356113433838
train acc: 0.6299999952316284
train loss: 1.5604714155197144
train acc: 0.6290000081062317
train loss: 1.523080825805664
train acc: 0.6399999856948853


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   8%|▊         | 334/4000 [08:25<1:46:29,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:   8%|▊         | 335/4000 [08:27<1:42:04,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:   8%|▊         | 336/4000 [08:28<1:39:03,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:   8%|▊         | 337/4000 [08:30<1:37:00,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:   8%|▊         | 338/4000 [08:31<1:35:19,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:   8%|▊         | 339/4000 [08:33<1:34:31,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:   8%|▊         | 340/4000 [08:34<1:33:36,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:   9%|▊         | 341/4000 [08:36<1:33:06,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:   9%|▊         | 342/4000 [08:37<1:32:42,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:   9%|▊         | 343/4000 [08:39<1:32:31,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:   9%|▊         | 344/4000 [08:40<1:32:13,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:   9%|▊         | 345/4000 [08:42<1:32:02,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:   9%|▊         | 346/4000 [08:44<1:32:30,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:   9%|▊         | 347/4000 [08:45<1:32:08,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:   9%|▊         | 348/4000 [08:47<1:31:56,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:   9%|▊         | 349/4000 [08:48<1:31:41,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:   9%|▉         | 350/4000 [08:50<1:31:30,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:   9%|▉         | 351/4000 [08:51<1:31:23,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:   9%|▉         | 352/4000 [08:53<1:31:17,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:   9%|▉         | 353/4000 [08:54<1:31:14,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:   9%|▉         | 354/4000 [08:56<1:31:09,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:   9%|▉         | 355/4000 [08:57<1:31:11,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:   9%|▉         | 356/4000 [08:59<1:31:07,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:   9%|▉         | 357/4000 [09:00<1:31:10,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:   9%|▉         | 358/4000 [09:02<1:31:42,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:   9%|▉         | 359/4000 [09:03<1:31:28,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:   9%|▉         | 360/4000 [09:05<1:31:19,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:   9%|▉         | 361/4000 [09:06<1:31:14,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:   9%|▉         | 362/4000 [09:08<1:31:03,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:   9%|▉         | 363/4000 [09:09<1:31:01,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:   9%|▉         | 364/4000 [09:11<1:30:56,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:   9%|▉         | 365/4000 [09:12<1:30:53,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:   9%|▉         | 366/4000 [09:14<1:30:56,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:   9%|▉         | 367/4000 [09:15<1:31:08,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:   9%|▉         | 368/4000 [09:17<1:31:02,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:   9%|▉         | 369/4000 [09:18<1:31:11,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:   9%|▉         | 370/4000 [09:19<1:27:49,  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: 1.509861707687378
train acc: 0.6184210777282715
train loss: 1.4658547639846802
train acc: 0.6840000152587891
train loss: 1.492152214050293
train acc: 0.6470000147819519
train loss: 1.4641300439834595
train acc: 0.6366396546363831


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   9%|▉         | 371/4000 [09:22<1:43:45,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:   9%|▉         | 372/4000 [09:23<1:40:01,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:   9%|▉         | 373/4000 [09:25<1:37:35,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:   9%|▉         | 374/4000 [09:26<1:35:49,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:   9%|▉         | 375/4000 [09:28<1:34:30,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:   9%|▉         | 376/4000 [09:29<1:33:22,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:   9%|▉         | 377/4000 [09:31<1:32:28,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:   9%|▉         | 378/4000 [09:32<1:31:54,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:   9%|▉         | 379/4000 [09:34<1:32:07,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  10%|▉         | 380/4000 [09:35<1:31:45,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  10%|▉         | 381/4000 [09:37<1:31:35,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  10%|▉         | 382/4000 [09:38<1:31:13,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  10%|▉         | 383/4000 [09:40<1:31:43,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  10%|▉         | 384/4000 [09:41<1:31:16,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  10%|▉         | 385/4000 [09:43<1:31:01,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  10%|▉         | 386/4000 [09:44<1:30:47,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  10%|▉         | 387/4000 [09:46<1:30:36,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:  10%|▉         | 388/4000 [09:47<1:30:30,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  10%|▉         | 389/4000 [09:49<1:30:24,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  10%|▉         | 390/4000 [09:50<1:30:20,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  10%|▉         | 391/4000 [09:52<1:30:33,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  10%|▉         | 392/4000 [09:53<1:30:28,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  10%|▉         | 393/4000 [09:55<1:30:40,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  10%|▉         | 394/4000 [09:56<1:30:32,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  10%|▉         | 395/4000 [09:58<1:31:02,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  10%|▉         | 396/4000 [09:59<1:30:44,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  10%|▉         | 397/4000 [10:01<1:30:35,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  10%|▉         | 398/4000 [10:02<1:30:24,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  10%|▉         | 399/4000 [10:04<1:30:14,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  10%|█         | 400/4000 [10:05<1:30:10,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  10%|█         | 401/4000 [10:07<1:30:03,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  10%|█         | 402/4000 [10:08<1:30:00,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  10%|█         | 403/4000 [10:10<1:29:56,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  10%|█         | 404/4000 [10:11<1:29:57,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  10%|█         | 405/4000 [10:13<1:30:05,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  10%|█         | 406/4000 [10:14<1:30:05,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  10%|█         | 407/4000 [10:16<1:26:41,  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: 1.395546317100525
train acc: 0.6850000023841858
train loss: 1.3962855339050293
train acc: 0.6679999828338623
train loss: 1.4353071451187134
train acc: 0.6539999842643738


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  10%|█         | 408/4000 [10:18<1:42:44,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  10%|█         | 409/4000 [10:20<1:38:44,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  10%|█         | 410/4000 [10:21<1:35:52,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  10%|█         | 411/4000 [10:23<1:34:01,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  10%|█         | 412/4000 [10:24<1:32:36,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  10%|█         | 413/4000 [10:26<1:31:48,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  10%|█         | 414/4000 [10:27<1:31:19,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  10%|█         | 415/4000 [10:29<1:31:09,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  10%|█         | 416/4000 [10:30<1:31:23,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  10%|█         | 417/4000 [10:32<1:30:50,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  10%|█         | 418/4000 [10:33<1:30:27,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  10%|█         | 419/4000 [10:35<1:30:19,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  10%|█         | 420/4000 [10:36<1:30:33,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  11%|█         | 421/4000 [10:38<1:30:19,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  11%|█         | 422/4000 [10:39<1:30:11,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  11%|█         | 423/4000 [10:41<1:30:00,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  11%|█         | 424/4000 [10:42<1:29:49,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  11%|█         | 425/4000 [10:44<1:29:41,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  11%|█         | 426/4000 [10:45<1:29:31,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  11%|█         | 427/4000 [10:47<1:29:30,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  11%|█         | 428/4000 [10:48<1:29:42,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  11%|█         | 429/4000 [10:50<1:29:33,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  11%|█         | 430/4000 [10:51<1:29:26,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  11%|█         | 431/4000 [10:53<1:29:23,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  11%|█         | 432/4000 [10:54<1:29:41,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  11%|█         | 433/4000 [10:56<1:29:45,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  11%|█         | 434/4000 [10:57<1:29:37,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  11%|█         | 435/4000 [10:59<1:29:27,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  11%|█         | 436/4000 [11:00<1:29:15,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  11%|█         | 437/4000 [11:02<1:29:10,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  11%|█         | 438/4000 [11:03<1:29:06,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  11%|█         | 439/4000 [11:05<1:29:04,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  11%|█         | 440/4000 [11:06<1:29:19,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  11%|█         | 441/4000 [11:08<1:29:11,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  11%|█         | 442/4000 [11:09<1:29:07,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  11%|█         | 443/4000 [11:11<1:29:04,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  11%|█         | 444/4000 [11:12<1:25:46,  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: 1.418424367904663
train acc: 0.6670040488243103
train loss: 1.3550688028335571
train acc: 0.6909999847412109
train loss: 1.3502449989318848
train acc: 0.6769999861717224
train loss: 1.3580000400543213
train acc: 0.6769999861717224


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  11%|█         | 445/4000 [11:14<1:41:16,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  11%|█         | 446/4000 [11:16<1:37:44,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  11%|█         | 447/4000 [11:17<1:35:10,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  11%|█         | 448/4000 [11:19<1:33:11,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  11%|█         | 449/4000 [11:20<1:31:48,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  11%|█▏        | 450/4000 [11:22<1:30:46,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  11%|█▏        | 451/4000 [11:23<1:29:57,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  11%|█▏        | 452/4000 [11:25<1:29:28,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  11%|█▏        | 453/4000 [11:26<1:29:14,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.51s/it]
overall:  11%|█▏        | 454/4000 [11:28<1:29:22,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  11%|█▏        | 455/4000 [11:30<1:29:27,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  11%|█▏        | 456/4000 [11:31<1:29:32,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  11%|█▏        | 457/4000 [11:33<1:29:55,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  11%|█▏        | 458/4000 [11:34<1:30:12,  1.53s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.53s/it]
overall:  11%|█▏        | 459/4000 [11:36<1:29:44,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  12%|█▏        | 460/4000 [11:37<1:29:18,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  12%|█▏        | 461/4000 [11:39<1:29:04,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  12%|█▏        | 462/4000 [11:40<1:28:49,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  12%|█▏        | 463/4000 [11:42<1:28:39,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  12%|█▏        | 464/4000 [11:43<1:28:34,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  12%|█▏        | 465/4000 [11:45<1:28:29,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  12%|█▏        | 466/4000 [11:46<1:28:43,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  12%|█▏        | 467/4000 [11:48<1:28:35,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  12%|█▏        | 468/4000 [11:49<1:28:45,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  12%|█▏        | 469/4000 [11:51<1:29:37,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  12%|█▏        | 470/4000 [11:52<1:29:22,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:  12%|█▏        | 471/4000 [11:54<1:29:01,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  12%|█▏        | 472/4000 [11:55<1:28:40,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  12%|█▏        | 473/4000 [11:57<1:28:29,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  12%|█▏        | 474/4000 [11:58<1:28:27,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:  12%|█▏        | 475/4000 [12:00<1:28:22,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  12%|█▏        | 476/4000 [12:01<1:28:23,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  12%|█▏        | 477/4000 [12:03<1:28:16,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  12%|█▏        | 478/4000 [12:04<1:28:17,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  12%|█▏        | 479/4000 [12:06<1:28:15,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  12%|█▏        | 480/4000 [12:07<1:28:22,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.51s/it]
overall:  12%|█▏        | 481/4000 [12:09<1:25:02,  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: 1.3087316751480103
train acc: 0.7115384340286255
train loss: 1.3207989931106567
train acc: 0.6919999718666077
train loss: 1.271043062210083
train acc: 0.6980000138282776
train loss: 1.3043140172958374
train acc: 0.6970000267028809


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  12%|█▏        | 482/4000 [12:11<1:42:07,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  12%|█▏        | 483/4000 [12:12<1:37:52,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  12%|█▏        | 484/4000 [12:14<1:35:09,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  12%|█▏        | 485/4000 [12:15<1:32:57,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  12%|█▏        | 486/4000 [12:17<1:31:42,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  12%|█▏        | 487/4000 [12:19<1:30:30,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  12%|█▏        | 488/4000 [12:20<1:29:50,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  12%|█▏        | 489/4000 [12:22<1:29:28,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  12%|█▏        | 490/4000 [12:23<1:29:02,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  12%|█▏        | 491/4000 [12:25<1:28:46,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  12%|█▏        | 492/4000 [12:26<1:28:30,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  12%|█▏        | 493/4000 [12:28<1:28:13,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  12%|█▏        | 494/4000 [12:29<1:28:41,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  12%|█▏        | 495/4000 [12:31<1:28:38,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  12%|█▏        | 496/4000 [12:32<1:28:23,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  12%|█▏        | 497/4000 [12:34<1:28:18,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  12%|█▏        | 498/4000 [12:35<1:28:08,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  12%|█▏        | 499/4000 [12:37<1:27:59,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  12%|█▎        | 500/4000 [12:38<1:27:54,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  13%|█▎        | 501/4000 [12:40<1:27:44,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  13%|█▎        | 502/4000 [12:41<1:27:35,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  13%|█▎        | 503/4000 [12:43<1:27:46,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  13%|█▎        | 504/4000 [12:44<1:27:43,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  13%|█▎        | 505/4000 [12:46<1:28:14,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  13%|█▎        | 506/4000 [12:47<1:28:18,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  13%|█▎        | 507/4000 [12:49<1:28:03,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  13%|█▎        | 508/4000 [12:50<1:27:45,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  13%|█▎        | 509/4000 [12:52<1:27:53,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  13%|█▎        | 510/4000 [12:53<1:27:44,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  13%|█▎        | 511/4000 [12:55<1:27:48,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  13%|█▎        | 512/4000 [12:56<1:27:41,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  13%|█▎        | 513/4000 [12:58<1:27:29,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  13%|█▎        | 514/4000 [12:59<1:27:20,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  13%|█▎        | 515/4000 [13:01<1:27:23,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  13%|█▎        | 516/4000 [13:02<1:27:25,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  13%|█▎        | 517/4000 [13:04<1:27:17,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  13%|█▎        | 518/4000 [13:05<1:23:58,  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: 1.3261677026748657
train acc: 0.6659919023513794
train loss: 1.2319642305374146
train acc: 0.734000027179718
train loss: 1.2458970546722412
train acc: 0.7300000190734863


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  13%|█▎        | 519/4000 [13:07<1:39:14,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  13%|█▎        | 520/4000 [13:09<1:35:50,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  13%|█▎        | 521/4000 [13:10<1:33:16,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  13%|█▎        | 522/4000 [13:12<1:31:18,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  13%|█▎        | 523/4000 [13:13<1:30:16,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  13%|█▎        | 524/4000 [13:15<1:29:17,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  13%|█▎        | 525/4000 [13:16<1:28:57,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  13%|█▎        | 526/4000 [13:18<1:28:31,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  13%|█▎        | 527/4000 [13:20<1:28:22,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  13%|█▎        | 528/4000 [13:21<1:28:09,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  13%|█▎        | 529/4000 [13:23<1:27:48,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  13%|█▎        | 530/4000 [13:24<1:27:25,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  13%|█▎        | 531/4000 [13:26<1:27:51,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  13%|█▎        | 532/4000 [13:27<1:27:31,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  13%|█▎        | 533/4000 [13:29<1:27:35,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  13%|█▎        | 534/4000 [13:30<1:27:20,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  13%|█▎        | 535/4000 [13:32<1:27:41,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  13%|█▎        | 536/4000 [13:33<1:27:37,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  13%|█▎        | 537/4000 [13:35<1:27:24,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  13%|█▎        | 538/4000 [13:36<1:27:07,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  13%|█▎        | 539/4000 [13:38<1:27:13,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  14%|█▎        | 540/4000 [13:39<1:26:55,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  14%|█▎        | 541/4000 [13:41<1:27:10,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  14%|█▎        | 542/4000 [13:42<1:27:14,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  14%|█▎        | 543/4000 [13:44<1:27:06,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  14%|█▎        | 544/4000 [13:45<1:27:08,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  14%|█▎        | 545/4000 [13:47<1:27:08,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  14%|█▎        | 546/4000 [13:48<1:27:14,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  14%|█▎        | 547/4000 [13:50<1:27:21,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  14%|█▎        | 548/4000 [13:51<1:27:00,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  14%|█▎        | 549/4000 [13:53<1:26:47,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  14%|█▍        | 550/4000 [13:54<1:26:36,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  14%|█▍        | 551/4000 [13:56<1:26:44,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  14%|█▍        | 552/4000 [13:57<1:26:52,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  14%|█▍        | 553/4000 [13:59<1:26:42,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  14%|█▍        | 554/4000 [14:00<1:26:32,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  14%|█▍        | 555/4000 [14:02<1:23:15,  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: 1.1991121768951416
train acc: 0.7317813634872437
train loss: 1.1970936059951782
train acc: 0.7170000076293945
train loss: 1.2032208442687988
train acc: 0.7239999771118164
train loss: 1.21088445186615
train acc: 0.7239999771118164


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  14%|█▍        | 556/4000 [14:04<1:38:28,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  14%|█▍        | 557/4000 [14:05<1:34:44,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  14%|█▍        | 558/4000 [14:07<1:32:04,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  14%|█▍        | 559/4000 [14:08<1:30:18,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  14%|█▍        | 560/4000 [14:10<1:28:58,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  14%|█▍        | 561/4000 [14:11<1:28:03,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  14%|█▍        | 562/4000 [14:13<1:27:27,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  14%|█▍        | 563/4000 [14:14<1:27:12,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  14%|█▍        | 564/4000 [14:16<1:27:01,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  14%|█▍        | 565/4000 [14:18<1:27:27,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  14%|█▍        | 566/4000 [14:19<1:26:55,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  14%|█▍        | 567/4000 [14:21<1:26:56,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  14%|█▍        | 568/4000 [14:22<1:26:56,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  14%|█▍        | 569/4000 [14:24<1:26:43,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  14%|█▍        | 570/4000 [14:25<1:26:31,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  14%|█▍        | 571/4000 [14:27<1:26:21,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  14%|█▍        | 572/4000 [14:28<1:26:09,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  14%|█▍        | 573/4000 [14:30<1:25:57,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  14%|█▍        | 574/4000 [14:31<1:25:49,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  14%|█▍        | 575/4000 [14:33<1:25:42,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  14%|█▍        | 576/4000 [14:34<1:25:37,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  14%|█▍        | 577/4000 [14:36<1:26:09,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  14%|█▍        | 578/4000 [14:37<1:26:02,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  14%|█▍        | 579/4000 [14:39<1:26:15,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  14%|█▍        | 580/4000 [14:40<1:26:35,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  15%|█▍        | 581/4000 [14:42<1:26:22,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:  15%|█▍        | 582/4000 [14:43<1:26:25,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  15%|█▍        | 583/4000 [14:45<1:26:16,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.52s/it]
overall:  15%|█▍        | 584/4000 [14:46<1:26:04,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  15%|█▍        | 585/4000 [14:48<1:25:53,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:  15%|█▍        | 586/4000 [14:49<1:25:44,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  15%|█▍        | 587/4000 [14:51<1:25:34,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  15%|█▍        | 588/4000 [14:52<1:25:27,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  15%|█▍        | 589/4000 [14:54<1:25:28,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  15%|█▍        | 590/4000 [14:55<1:25:16,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  15%|█▍        | 591/4000 [14:57<1:25:23,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  15%|█▍        | 592/4000 [14:58<1:22:03,  1.44s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 1.1705435514450073
train acc: 0.7429149746894836
train loss: 1.2007468938827515
train acc: 0.7099999785423279
train loss: 1.1761646270751953
train acc: 0.7390000224113464
train loss: 1.1280665397644043
train acc: 0.7440000176429749


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  15%|█▍        | 593/4000 [15:00<1:36:59,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  15%|█▍        | 594/4000 [15:02<1:33:38,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  15%|█▍        | 595/4000 [15:03<1:31:07,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  15%|█▍        | 596/4000 [15:05<1:29:17,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  15%|█▍        | 597/4000 [15:06<1:27:58,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  15%|█▍        | 598/4000 [15:08<1:27:06,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  15%|█▍        | 599/4000 [15:09<1:26:25,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  15%|█▌        | 600/4000 [15:11<1:26:01,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  15%|█▌        | 601/4000 [15:12<1:25:59,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  15%|█▌        | 602/4000 [15:14<1:25:58,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  15%|█▌        | 603/4000 [15:15<1:25:58,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  15%|█▌        | 604/4000 [15:17<1:25:56,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  15%|█▌        | 605/4000 [15:19<1:27:19,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:37,  1.54s/it]
overall:  15%|█▌        | 606/4000 [15:20<1:26:53,  1.54s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.54s/it]
overall:  15%|█▌        | 607/4000 [15:22<1:26:17,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  15%|█▌        | 608/4000 [15:23<1:25:49,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  15%|█▌        | 609/4000 [15:25<1:25:26,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  15%|█▌        | 610/4000 [15:26<1:25:11,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  15%|█▌        | 611/4000 [15:28<1:24:59,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  15%|█▌        | 612/4000 [15:29<1:24:54,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  15%|█▌        | 613/4000 [15:31<1:25:11,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  15%|█▌        | 614/4000 [15:32<1:25:01,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  15%|█▌        | 615/4000 [15:34<1:25:07,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  15%|█▌        | 616/4000 [15:35<1:25:02,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  15%|█▌        | 617/4000 [15:37<1:25:27,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  15%|█▌        | 618/4000 [15:38<1:25:29,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  15%|█▌        | 619/4000 [15:40<1:25:14,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  16%|█▌        | 620/4000 [15:41<1:25:21,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  16%|█▌        | 621/4000 [15:43<1:25:06,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  16%|█▌        | 622/4000 [15:44<1:24:50,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  16%|█▌        | 623/4000 [15:46<1:24:42,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  16%|█▌        | 624/4000 [15:47<1:24:45,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  16%|█▌        | 625/4000 [15:49<1:24:45,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  16%|█▌        | 626/4000 [15:50<1:24:35,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  16%|█▌        | 627/4000 [15:52<1:24:32,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  16%|█▌        | 628/4000 [15:53<1:24:28,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  16%|█▌        | 629/4000 [15:55<1:21:27,  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: 1.1536058187484741
train acc: 0.7550607323646545
train loss: 1.1482665538787842
train acc: 0.7200000286102295
train loss: 1.1115851402282715
train acc: 0.7509999871253967


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  16%|█▌        | 630/4000 [15:57<1:38:12,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.33s/it]
overall:  16%|█▌        | 631/4000 [15:58<1:34:02,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  16%|█▌        | 632/4000 [16:00<1:31:18,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  16%|█▌        | 633/4000 [16:02<1:29:14,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  16%|█▌        | 634/4000 [16:03<1:27:36,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  16%|█▌        | 635/4000 [16:05<1:26:35,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  16%|█▌        | 636/4000 [16:06<1:26:04,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  16%|█▌        | 637/4000 [16:08<1:25:35,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  16%|█▌        | 638/4000 [16:09<1:25:26,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  16%|█▌        | 639/4000 [16:11<1:25:14,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  16%|█▌        | 640/4000 [16:12<1:25:20,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  16%|█▌        | 641/4000 [16:14<1:25:02,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  16%|█▌        | 642/4000 [16:15<1:25:23,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  16%|█▌        | 643/4000 [16:17<1:24:56,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  16%|█▌        | 644/4000 [16:18<1:24:59,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  16%|█▌        | 645/4000 [16:20<1:24:38,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  16%|█▌        | 646/4000 [16:21<1:24:26,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  16%|█▌        | 647/4000 [16:23<1:24:13,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  16%|█▌        | 648/4000 [16:24<1:23:59,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  16%|█▌        | 649/4000 [16:26<1:24:15,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  16%|█▋        | 650/4000 [16:27<1:24:17,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  16%|█▋        | 651/4000 [16:29<1:24:19,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  16%|█▋        | 652/4000 [16:30<1:24:23,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  16%|█▋        | 653/4000 [16:32<1:24:24,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  16%|█▋        | 654/4000 [16:33<1:24:36,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  16%|█▋        | 655/4000 [16:35<1:24:29,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  16%|█▋        | 656/4000 [16:36<1:24:32,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  16%|█▋        | 657/4000 [16:38<1:24:15,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  16%|█▋        | 658/4000 [16:39<1:24:01,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  16%|█▋        | 659/4000 [16:41<1:24:03,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  16%|█▋        | 660/4000 [16:42<1:24:07,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  17%|█▋        | 661/4000 [16:44<1:24:02,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  17%|█▋        | 662/4000 [16:45<1:23:54,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  17%|█▋        | 663/4000 [16:47<1:23:41,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  17%|█▋        | 664/4000 [16:48<1:23:35,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  17%|█▋        | 665/4000 [16:50<1:23:45,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  17%|█▋        | 666/4000 [16:51<1:20:38,  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: 1.1099952459335327
train acc: 0.7327935099601746
train loss: 1.1052783727645874
train acc: 0.7390000224113464
train loss: 1.0620131492614746
train acc: 0.7580000162124634
train loss: 1.1479542255401611
train acc: 0.7459999918937683


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  17%|█▋        | 667/4000 [16:54<1:36:49,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  17%|█▋        | 668/4000 [16:55<1:32:41,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  17%|█▋        | 669/4000 [16:57<1:29:47,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  17%|█▋        | 670/4000 [16:58<1:27:49,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  17%|█▋        | 671/4000 [17:00<1:26:25,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  17%|█▋        | 672/4000 [17:01<1:25:27,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  17%|█▋        | 673/4000 [17:03<1:25:01,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  17%|█▋        | 674/4000 [17:04<1:24:35,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  17%|█▋        | 675/4000 [17:06<1:24:41,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  17%|█▋        | 676/4000 [17:07<1:24:13,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  17%|█▋        | 677/4000 [17:09<1:24:07,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  17%|█▋        | 678/4000 [17:10<1:24:09,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  17%|█▋        | 679/4000 [17:12<1:24:02,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  17%|█▋        | 680/4000 [17:13<1:24:02,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  17%|█▋        | 681/4000 [17:15<1:23:44,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  17%|█▋        | 682/4000 [17:16<1:23:35,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  17%|█▋        | 683/4000 [17:18<1:23:30,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  17%|█▋        | 684/4000 [17:19<1:23:22,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  17%|█▋        | 685/4000 [17:21<1:23:29,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  17%|█▋        | 686/4000 [17:22<1:23:15,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  17%|█▋        | 687/4000 [17:24<1:23:23,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  17%|█▋        | 688/4000 [17:25<1:23:17,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  17%|█▋        | 689/4000 [17:27<1:23:26,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  17%|█▋        | 690/4000 [17:28<1:23:34,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  17%|█▋        | 691/4000 [17:30<1:23:34,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  17%|█▋        | 692/4000 [17:31<1:23:31,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  17%|█▋        | 693/4000 [17:33<1:23:17,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  17%|█▋        | 694/4000 [17:34<1:23:08,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  17%|█▋        | 695/4000 [17:36<1:22:56,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  17%|█▋        | 696/4000 [17:37<1:22:46,  1.50s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.50s/it]
overall:  17%|█▋        | 697/4000 [17:39<1:22:40,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  17%|█▋        | 698/4000 [17:40<1:22:40,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  17%|█▋        | 699/4000 [17:42<1:22:51,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  18%|█▊        | 700/4000 [17:43<1:22:47,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  18%|█▊        | 701/4000 [17:45<1:22:40,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  18%|█▊        | 702/4000 [17:46<1:22:34,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  18%|█▊        | 703/4000 [17:48<1:19:25,  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: 1.0562409162521362
train acc: 0.7631579041481018
train loss: 1.0684512853622437
train acc: 0.7630000114440918
train loss: 1.0599569082260132
train acc: 0.7720000147819519
train loss: 1.0658807754516602
train acc: 0.7450000047683716


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  18%|█▊        | 704/4000 [17:50<1:33:57,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  18%|█▊        | 705/4000 [17:52<1:30:38,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  18%|█▊        | 706/4000 [17:53<1:28:11,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  18%|█▊        | 707/4000 [17:55<1:26:27,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  18%|█▊        | 708/4000 [17:56<1:25:10,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  18%|█▊        | 709/4000 [17:58<1:24:19,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  18%|█▊        | 710/4000 [17:59<1:23:39,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  18%|█▊        | 711/4000 [18:01<1:23:31,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  18%|█▊        | 712/4000 [18:02<1:23:27,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  18%|█▊        | 713/4000 [18:04<1:23:18,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  18%|█▊        | 714/4000 [18:05<1:22:57,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  18%|█▊        | 715/4000 [18:07<1:22:43,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  18%|█▊        | 716/4000 [18:08<1:25:20,  1.56s/it]

train:  35%|███▌      | 13/37 [00:20<00:37,  1.56s/it]
overall:  18%|█▊        | 717/4000 [18:10<1:24:22,  1.54s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.54s/it]
overall:  18%|█▊        | 718/4000 [18:11<1:23:41,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  18%|█▊        | 719/4000 [18:13<1:23:08,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  18%|█▊        | 720/4000 [18:14<1:22:48,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  18%|█▊        | 721/4000 [18:16<1:22:45,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  18%|█▊        | 722/4000 [18:17<1:22:31,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  18%|█▊        | 723/4000 [18:19<1:22:21,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  18%|█▊        | 724/4000 [18:20<1:22:29,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  18%|█▊        | 725/4000 [18:22<1:22:20,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  18%|█▊        | 726/4000 [18:23<1:22:10,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  18%|█▊        | 727/4000 [18:25<1:22:09,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  18%|█▊        | 728/4000 [18:26<1:22:34,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  18%|█▊        | 729/4000 [18:28<1:22:33,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  18%|█▊        | 730/4000 [18:29<1:22:29,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  18%|█▊        | 731/4000 [18:31<1:22:24,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  18%|█▊        | 732/4000 [18:32<1:22:29,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  18%|█▊        | 733/4000 [18:34<1:22:26,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  18%|█▊        | 734/4000 [18:35<1:22:19,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  18%|█▊        | 735/4000 [18:37<1:22:04,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  18%|█▊        | 736/4000 [18:38<1:22:09,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  18%|█▊        | 737/4000 [18:40<1:22:01,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  18%|█▊        | 738/4000 [18:41<1:21:56,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  18%|█▊        | 739/4000 [18:43<1:21:41,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  18%|█▊        | 740/4000 [18:44<1:18:41,  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: 1.0503547191619873
train acc: 0.7510121464729309
train loss: 1.011928915977478
train acc: 0.7739999890327454
train loss: 1.0458478927612305
train acc: 0.7580000162124634
train loss: 1.0270675420761108
train acc: 0.7580971717834473


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  19%|█▊        | 741/4000 [18:47<1:34:28,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  19%|█▊        | 742/4000 [18:48<1:30:33,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  19%|█▊        | 743/4000 [18:50<1:27:45,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  19%|█▊        | 744/4000 [18:51<1:26:06,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  19%|█▊        | 745/4000 [18:53<1:24:42,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  19%|█▊        | 746/4000 [18:54<1:23:39,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  19%|█▊        | 747/4000 [18:56<1:22:56,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  19%|█▊        | 748/4000 [18:57<1:22:39,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  19%|█▊        | 749/4000 [18:59<1:22:40,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  19%|█▉        | 750/4000 [19:00<1:22:33,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  19%|█▉        | 751/4000 [19:02<1:22:41,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  19%|█▉        | 752/4000 [19:03<1:22:18,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  19%|█▉        | 753/4000 [19:05<1:23:34,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:37,  1.54s/it]
overall:  19%|█▉        | 754/4000 [19:06<1:23:06,  1.54s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.54s/it]
overall:  19%|█▉        | 755/4000 [19:08<1:22:35,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  19%|█▉        | 756/4000 [19:09<1:22:01,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  19%|█▉        | 757/4000 [19:11<1:21:45,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  19%|█▉        | 758/4000 [19:12<1:21:32,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  19%|█▉        | 759/4000 [19:14<1:21:19,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  19%|█▉        | 760/4000 [19:15<1:21:13,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.50s/it]
overall:  19%|█▉        | 761/4000 [19:17<1:21:21,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  19%|█▉        | 762/4000 [19:18<1:21:12,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:  19%|█▉        | 763/4000 [19:20<1:21:08,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  19%|█▉        | 764/4000 [19:21<1:21:01,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  19%|█▉        | 765/4000 [19:23<1:21:18,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  19%|█▉        | 766/4000 [19:24<1:21:07,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  19%|█▉        | 767/4000 [19:26<1:21:09,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  19%|█▉        | 768/4000 [19:27<1:21:11,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  19%|█▉        | 769/4000 [19:29<1:21:40,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  19%|█▉        | 770/4000 [19:31<1:21:36,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  19%|█▉        | 771/4000 [19:32<1:21:26,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  19%|█▉        | 772/4000 [19:34<1:21:26,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  19%|█▉        | 773/4000 [19:35<1:21:34,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  19%|█▉        | 774/4000 [19:37<1:21:27,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  19%|█▉        | 775/4000 [19:38<1:21:17,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  19%|█▉        | 776/4000 [19:40<1:21:07,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  19%|█▉        | 777/4000 [19:41<1:18:20,  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: 1.0020699501037598
train acc: 0.765999972820282
train loss: 1.0002553462982178
train acc: 0.7710000276565552
train loss: 1.0125491619110107
train acc: 0.7680000066757202


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  19%|█▉        | 778/4000 [19:43<1:32:23,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  19%|█▉        | 779/4000 [19:45<1:28:51,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  20%|█▉        | 780/4000 [19:46<1:26:37,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  20%|█▉        | 781/4000 [19:48<1:24:46,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  20%|█▉        | 782/4000 [19:49<1:23:27,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  20%|█▉        | 783/4000 [19:51<1:22:53,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  20%|█▉        | 784/4000 [19:52<1:22:11,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  20%|█▉        | 785/4000 [19:54<1:21:33,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  20%|█▉        | 786/4000 [19:55<1:21:11,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  20%|█▉        | 787/4000 [19:57<1:21:07,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  20%|█▉        | 788/4000 [19:58<1:21:09,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  20%|█▉        | 789/4000 [20:00<1:21:16,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  20%|█▉        | 790/4000 [20:01<1:21:36,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  20%|█▉        | 791/4000 [20:03<1:21:20,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  20%|█▉        | 792/4000 [20:04<1:21:00,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  20%|█▉        | 793/4000 [20:06<1:20:49,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  20%|█▉        | 794/4000 [20:07<1:20:36,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  20%|█▉        | 795/4000 [20:09<1:20:44,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  20%|█▉        | 796/4000 [20:10<1:20:31,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  20%|█▉        | 797/4000 [20:12<1:20:22,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  20%|█▉        | 798/4000 [20:13<1:20:16,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  20%|█▉        | 799/4000 [20:15<1:20:20,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  20%|██        | 800/4000 [20:16<1:20:33,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  20%|██        | 801/4000 [20:18<1:20:30,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  20%|██        | 802/4000 [20:19<1:20:41,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  20%|██        | 803/4000 [20:21<1:20:37,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  20%|██        | 804/4000 [20:23<1:20:40,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  20%|██        | 805/4000 [20:24<1:20:30,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  20%|██        | 806/4000 [20:26<1:20:33,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  20%|██        | 807/4000 [20:27<1:20:46,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  20%|██        | 808/4000 [20:29<1:20:36,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  20%|██        | 809/4000 [20:30<1:20:38,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  20%|██        | 810/4000 [20:32<1:20:26,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  20%|██        | 811/4000 [20:33<1:20:08,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  20%|██        | 812/4000 [20:35<1:20:15,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  20%|██        | 813/4000 [20:36<1:20:14,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  20%|██        | 814/4000 [20:37<1:17:13,  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: 0.9888406991958618
train acc: 0.7823886871337891
train loss: 0.9951400756835938
train acc: 0.7670000195503235
train loss: 1.0044405460357666
train acc: 0.7670000195503235
train loss: 0.9677287936210632
train acc: 0.7670000195503235


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  20%|██        | 815/4000 [20:40<1:33:00,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  20%|██        | 816/4000 [20:41<1:29:02,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  20%|██        | 817/4000 [20:43<1:26:21,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  20%|██        | 818/4000 [20:44<1:24:32,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  20%|██        | 819/4000 [20:46<1:23:05,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  20%|██        | 820/4000 [20:47<1:22:18,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  21%|██        | 821/4000 [20:49<1:21:37,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  21%|██        | 822/4000 [20:50<1:21:05,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  21%|██        | 823/4000 [20:52<1:20:54,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  21%|██        | 824/4000 [20:54<1:20:41,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  21%|██        | 825/4000 [20:55<1:20:38,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  21%|██        | 826/4000 [20:57<1:20:47,  1.53s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.53s/it]
overall:  21%|██        | 827/4000 [20:58<1:21:52,  1.55s/it]

train:  35%|███▌      | 13/37 [00:20<00:37,  1.55s/it]
overall:  21%|██        | 828/4000 [21:00<1:21:08,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.54s/it]
overall:  21%|██        | 829/4000 [21:01<1:20:37,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  21%|██        | 830/4000 [21:03<1:20:26,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  21%|██        | 831/4000 [21:04<1:20:22,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  21%|██        | 832/4000 [21:06<1:20:14,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  21%|██        | 833/4000 [21:07<1:20:01,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  21%|██        | 834/4000 [21:09<1:19:57,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  21%|██        | 835/4000 [21:10<1:19:59,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  21%|██        | 836/4000 [21:12<1:19:59,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  21%|██        | 837/4000 [21:13<1:20:02,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  21%|██        | 838/4000 [21:15<1:19:47,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  21%|██        | 839/4000 [21:16<1:19:50,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  21%|██        | 840/4000 [21:18<1:19:47,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  21%|██        | 841/4000 [21:19<1:19:42,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  21%|██        | 842/4000 [21:21<1:19:29,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  21%|██        | 843/4000 [21:22<1:19:26,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  21%|██        | 844/4000 [21:24<1:19:20,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  21%|██        | 845/4000 [21:25<1:19:20,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  21%|██        | 846/4000 [21:27<1:19:19,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  21%|██        | 847/4000 [21:28<1:19:23,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  21%|██        | 848/4000 [21:30<1:19:22,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  21%|██        | 849/4000 [21:31<1:19:19,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  21%|██▏       | 850/4000 [21:33<1:19:25,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  21%|██▏       | 851/4000 [21:34<1:16:20,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.9421015977859497
train acc: 0.7763158082962036
train loss: 0.9882110357284546
train acc: 0.7630000114440918
train loss: 0.9287996292114258
train acc: 0.7900000214576721
train loss: 0.9914261102676392
train acc: 0.7689999938011169


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  21%|██▏       | 852/4000 [21:37<1:30:11,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  21%|██▏       | 853/4000 [21:38<1:26:47,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  21%|██▏       | 854/4000 [21:40<1:24:19,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  21%|██▏       | 855/4000 [21:41<1:22:35,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  21%|██▏       | 856/4000 [21:43<1:21:19,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  21%|██▏       | 857/4000 [21:44<1:20:29,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  21%|██▏       | 858/4000 [21:46<1:19:55,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  21%|██▏       | 859/4000 [21:47<1:19:42,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  22%|██▏       | 860/4000 [21:49<1:19:41,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  22%|██▏       | 861/4000 [21:50<1:19:56,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  22%|██▏       | 862/4000 [21:52<1:19:42,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  22%|██▏       | 863/4000 [21:53<1:19:23,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  22%|██▏       | 864/4000 [21:55<1:20:17,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.54s/it]
overall:  22%|██▏       | 865/4000 [21:56<1:19:55,  1.53s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.53s/it]
overall:  22%|██▏       | 866/4000 [21:58<1:19:46,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  22%|██▏       | 867/4000 [21:59<1:19:38,  1.53s/it]

train:  43%|████▎     | 16/37 [00:24<00:32,  1.53s/it]
overall:  22%|██▏       | 868/4000 [22:01<1:19:27,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  22%|██▏       | 869/4000 [22:02<1:19:10,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  22%|██▏       | 870/4000 [22:04<1:18:55,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  22%|██▏       | 871/4000 [22:05<1:18:53,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  22%|██▏       | 872/4000 [22:07<1:18:55,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  22%|██▏       | 873/4000 [22:08<1:19:09,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  22%|██▏       | 874/4000 [22:10<1:19:16,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  22%|██▏       | 875/4000 [22:11<1:18:58,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  22%|██▏       | 876/4000 [22:13<1:19:37,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  22%|██▏       | 877/4000 [22:15<1:19:11,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  22%|██▏       | 878/4000 [22:16<1:19:06,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  22%|██▏       | 879/4000 [22:18<1:19:03,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  22%|██▏       | 880/4000 [22:19<1:18:51,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  22%|██▏       | 881/4000 [22:21<1:18:42,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  22%|██▏       | 882/4000 [22:22<1:18:35,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  22%|██▏       | 883/4000 [22:24<1:18:33,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  22%|██▏       | 884/4000 [22:25<1:18:36,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  22%|██▏       | 885/4000 [22:27<1:18:42,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  22%|██▏       | 886/4000 [22:28<1:18:43,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  22%|██▏       | 887/4000 [22:30<1:18:36,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  22%|██▏       | 888/4000 [22:31<1:15:33,  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: 0.9283647537231445
train acc: 0.7904858589172363
train loss: 0.9731981158256531
train acc: 0.7739999890327454
train loss: 0.934492290019989
train acc: 0.7990000247955322


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  22%|██▏       | 889/4000 [22:33<1:28:45,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  22%|██▏       | 890/4000 [22:35<1:25:28,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  22%|██▏       | 891/4000 [22:36<1:23:18,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  22%|██▏       | 892/4000 [22:38<1:22:01,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  22%|██▏       | 893/4000 [22:39<1:20:58,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  22%|██▏       | 894/4000 [22:41<1:19:59,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  22%|██▏       | 895/4000 [22:42<1:19:32,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  22%|██▏       | 896/4000 [22:44<1:19:08,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  22%|██▏       | 897/4000 [22:45<1:19:02,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  22%|██▏       | 898/4000 [22:47<1:18:52,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  22%|██▏       | 899/4000 [22:48<1:18:36,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  22%|██▎       | 900/4000 [22:50<1:18:22,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  23%|██▎       | 901/4000 [22:51<1:18:21,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  23%|██▎       | 902/4000 [22:53<1:18:14,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  23%|██▎       | 903/4000 [22:54<1:17:53,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  23%|██▎       | 904/4000 [22:56<1:17:59,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  23%|██▎       | 905/4000 [22:57<1:17:52,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  23%|██▎       | 906/4000 [22:59<1:17:42,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  23%|██▎       | 907/4000 [23:00<1:17:30,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  23%|██▎       | 908/4000 [23:02<1:17:27,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  23%|██▎       | 909/4000 [23:03<1:17:22,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  23%|██▎       | 910/4000 [23:05<1:17:37,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  23%|██▎       | 911/4000 [23:07<1:17:28,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  23%|██▎       | 912/4000 [23:08<1:17:55,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  23%|██▎       | 913/4000 [23:10<1:18:00,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  23%|██▎       | 914/4000 [23:11<1:17:58,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:  23%|██▎       | 915/4000 [23:13<1:17:42,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  23%|██▎       | 916/4000 [23:14<1:17:33,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  23%|██▎       | 917/4000 [23:16<1:17:40,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  23%|██▎       | 918/4000 [23:17<1:17:26,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  23%|██▎       | 919/4000 [23:19<1:17:17,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  23%|██▎       | 920/4000 [23:20<1:17:13,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  23%|██▎       | 921/4000 [23:22<1:17:09,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  23%|██▎       | 922/4000 [23:23<1:17:18,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  23%|██▎       | 923/4000 [23:25<1:17:11,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  23%|██▎       | 924/4000 [23:26<1:17:21,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  23%|██▎       | 925/4000 [23:27<1:14:24,  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: 0.8927102088928223
train acc: 0.7914980053901672
train loss: 0.9239429235458374
train acc: 0.7889999747276306
train loss: 0.8855926394462585
train acc: 0.8069999814033508
train loss: 0.9511408805847168
train acc: 0.7749999761581421


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  23%|██▎       | 926/4000 [23:30<1:27:46,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  23%|██▎       | 927/4000 [23:31<1:24:45,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  23%|██▎       | 928/4000 [23:33<1:22:22,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  23%|██▎       | 929/4000 [23:34<1:20:41,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  23%|██▎       | 930/4000 [23:36<1:19:40,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  23%|██▎       | 931/4000 [23:37<1:19:23,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  23%|██▎       | 932/4000 [23:39<1:18:41,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  23%|██▎       | 933/4000 [23:40<1:18:19,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  23%|██▎       | 934/4000 [23:42<1:17:49,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  23%|██▎       | 935/4000 [23:43<1:17:39,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  23%|██▎       | 936/4000 [23:45<1:17:34,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  23%|██▎       | 937/4000 [23:46<1:17:34,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  23%|██▎       | 938/4000 [23:48<1:17:54,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  23%|██▎       | 939/4000 [23:49<1:17:42,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  24%|██▎       | 940/4000 [23:51<1:17:28,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  24%|██▎       | 941/4000 [23:53<1:17:19,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  24%|██▎       | 942/4000 [23:54<1:17:21,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  24%|██▎       | 943/4000 [23:56<1:17:37,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  24%|██▎       | 944/4000 [23:57<1:17:37,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  24%|██▎       | 945/4000 [23:59<1:17:33,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  24%|██▎       | 946/4000 [24:00<1:17:22,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  24%|██▎       | 947/4000 [24:02<1:17:34,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  24%|██▎       | 948/4000 [24:03<1:17:33,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  24%|██▎       | 949/4000 [24:05<1:17:16,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  24%|██▍       | 950/4000 [24:06<1:17:17,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  24%|██▍       | 951/4000 [24:08<1:17:05,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  24%|██▍       | 952/4000 [24:09<1:16:51,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  24%|██▍       | 953/4000 [24:11<1:16:55,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  24%|██▍       | 954/4000 [24:12<1:16:56,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  24%|██▍       | 955/4000 [24:14<1:16:57,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  24%|██▍       | 956/4000 [24:15<1:16:42,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  24%|██▍       | 957/4000 [24:17<1:16:45,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  24%|██▍       | 958/4000 [24:18<1:16:36,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  24%|██▍       | 959/4000 [24:20<1:16:23,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  24%|██▍       | 960/4000 [24:21<1:16:13,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  24%|██▍       | 961/4000 [24:23<1:16:07,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  24%|██▍       | 962/4000 [24:24<1:13:17,  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: 0.8875794410705566
train acc: 0.7955465316772461
train loss: 0.92839515209198
train acc: 0.7940000295639038
train loss: 0.8594123125076294
train acc: 0.8080000281333923
train loss: 0.9182363748550415
train acc: 0.7919999957084656


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  24%|██▍       | 963/4000 [24:26<1:26:47,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  24%|██▍       | 964/4000 [24:28<1:23:35,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  24%|██▍       | 965/4000 [24:29<1:21:05,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  24%|██▍       | 966/4000 [24:31<1:19:37,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  24%|██▍       | 967/4000 [24:32<1:18:26,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  24%|██▍       | 968/4000 [24:34<1:17:36,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  24%|██▍       | 969/4000 [24:35<1:17:00,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  24%|██▍       | 970/4000 [24:37<1:16:47,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  24%|██▍       | 971/4000 [24:38<1:16:36,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  24%|██▍       | 972/4000 [24:40<1:16:31,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  24%|██▍       | 973/4000 [24:41<1:16:20,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  24%|██▍       | 974/4000 [24:43<1:16:21,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  24%|██▍       | 975/4000 [24:45<1:16:25,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  24%|██▍       | 976/4000 [24:46<1:16:27,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  24%|██▍       | 977/4000 [24:48<1:16:12,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  24%|██▍       | 978/4000 [24:49<1:16:11,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  24%|██▍       | 979/4000 [24:51<1:15:59,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  24%|██▍       | 980/4000 [24:52<1:15:52,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  25%|██▍       | 981/4000 [24:54<1:15:49,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  25%|██▍       | 982/4000 [24:55<1:15:52,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  25%|██▍       | 983/4000 [24:57<1:15:43,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  25%|██▍       | 984/4000 [24:58<1:15:53,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  25%|██▍       | 985/4000 [25:00<1:15:43,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  25%|██▍       | 986/4000 [25:01<1:15:41,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  25%|██▍       | 987/4000 [25:03<1:15:47,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  25%|██▍       | 988/4000 [25:04<1:15:52,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  25%|██▍       | 989/4000 [25:06<1:15:48,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  25%|██▍       | 990/4000 [25:07<1:15:46,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  25%|██▍       | 991/4000 [25:09<1:15:44,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  25%|██▍       | 992/4000 [25:10<1:15:58,  1.52s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.52s/it]
overall:  25%|██▍       | 993/4000 [25:12<1:15:48,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  25%|██▍       | 994/4000 [25:13<1:15:49,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  25%|██▍       | 995/4000 [25:15<1:15:52,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  25%|██▍       | 996/4000 [25:16<1:15:53,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  25%|██▍       | 997/4000 [25:18<1:15:56,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  25%|██▍       | 998/4000 [25:19<1:15:56,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  25%|██▍       | 999/4000 [25:21<1:13:00,  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: 0.9012519121170044
train acc: 0.7884615659713745
train loss: 0.8970197439193726
train acc: 0.7990000247955322
train loss: 0.8850385546684265
train acc: 0.8090000152587891


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  25%|██▌       | 1000/4000 [25:23<1:26:16,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  25%|██▌       | 1001/4000 [25:24<1:22:57,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  25%|██▌       | 1002/4000 [25:26<1:20:42,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  25%|██▌       | 1003/4000 [25:27<1:19:04,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  25%|██▌       | 1004/4000 [25:29<1:18:06,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  25%|██▌       | 1005/4000 [25:31<1:17:08,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  25%|██▌       | 1006/4000 [25:32<1:16:39,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  25%|██▌       | 1007/4000 [25:34<1:16:07,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  25%|██▌       | 1008/4000 [25:35<1:15:46,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  25%|██▌       | 1009/4000 [25:37<1:15:36,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  25%|██▌       | 1010/4000 [25:38<1:15:29,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  25%|██▌       | 1011/4000 [25:40<1:15:13,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  25%|██▌       | 1012/4000 [25:41<1:15:15,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  25%|██▌       | 1013/4000 [25:43<1:15:03,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  25%|██▌       | 1014/4000 [25:44<1:14:54,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  25%|██▌       | 1015/4000 [25:46<1:14:46,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  25%|██▌       | 1016/4000 [25:47<1:15:02,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  25%|██▌       | 1017/4000 [25:49<1:14:52,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  25%|██▌       | 1018/4000 [25:50<1:14:49,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  25%|██▌       | 1019/4000 [25:52<1:14:41,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  26%|██▌       | 1020/4000 [25:53<1:14:43,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  26%|██▌       | 1021/4000 [25:55<1:14:29,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  26%|██▌       | 1022/4000 [25:56<1:14:26,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.50s/it]
overall:  26%|██▌       | 1023/4000 [25:58<1:14:22,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  26%|██▌       | 1024/4000 [25:59<1:14:41,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  26%|██▌       | 1025/4000 [26:01<1:14:32,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  26%|██▌       | 1026/4000 [26:02<1:14:29,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  26%|██▌       | 1027/4000 [26:04<1:14:33,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  26%|██▌       | 1028/4000 [26:05<1:14:40,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  26%|██▌       | 1029/4000 [26:07<1:14:32,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:  26%|██▌       | 1030/4000 [26:08<1:14:30,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  26%|██▌       | 1031/4000 [26:10<1:14:34,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  26%|██▌       | 1032/4000 [26:11<1:14:34,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  26%|██▌       | 1033/4000 [26:13<1:14:44,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:  26%|██▌       | 1034/4000 [26:14<1:14:55,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  26%|██▌       | 1035/4000 [26:16<1:14:42,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.51s/it]
overall:  26%|██▌       | 1036/4000 [26:17<1:11:52,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 0.8319094777107239
train acc: 0.7995951175689697
train loss: 0.848628044128418
train acc: 0.8159999847412109
train loss: 0.8752528429031372
train acc: 0.8019999861717224
train loss: 0.8660171627998352
train acc: 0.7990000247955322


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  26%|██▌       | 1037/4000 [26:19<1:26:25,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  26%|██▌       | 1038/4000 [26:21<1:22:54,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  26%|██▌       | 1039/4000 [26:22<1:20:15,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  26%|██▌       | 1040/4000 [26:24<1:18:23,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  26%|██▌       | 1041/4000 [26:25<1:17:15,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  26%|██▌       | 1042/4000 [26:27<1:16:28,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  26%|██▌       | 1043/4000 [26:29<1:15:45,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  26%|██▌       | 1044/4000 [26:30<1:15:01,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  26%|██▌       | 1045/4000 [26:32<1:14:45,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  26%|██▌       | 1046/4000 [26:33<1:14:42,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  26%|██▌       | 1047/4000 [26:35<1:14:48,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  26%|██▌       | 1048/4000 [26:36<1:14:28,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  26%|██▌       | 1049/4000 [26:38<1:14:30,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  26%|██▋       | 1050/4000 [26:39<1:14:34,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  26%|██▋       | 1051/4000 [26:41<1:14:22,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  26%|██▋       | 1052/4000 [26:42<1:14:18,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  26%|██▋       | 1053/4000 [26:44<1:14:11,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  26%|██▋       | 1054/4000 [26:45<1:14:16,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  26%|██▋       | 1055/4000 [26:47<1:14:18,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  26%|██▋       | 1056/4000 [26:48<1:14:05,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  26%|██▋       | 1057/4000 [26:50<1:13:55,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  26%|██▋       | 1058/4000 [26:51<1:13:52,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  26%|██▋       | 1059/4000 [26:53<1:13:56,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  26%|██▋       | 1060/4000 [26:54<1:13:51,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  27%|██▋       | 1061/4000 [26:56<1:13:57,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  27%|██▋       | 1062/4000 [26:57<1:13:46,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  27%|██▋       | 1063/4000 [26:59<1:13:57,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  27%|██▋       | 1064/4000 [27:00<1:13:53,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  27%|██▋       | 1065/4000 [27:02<1:13:49,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  27%|██▋       | 1066/4000 [27:03<1:13:58,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  27%|██▋       | 1067/4000 [27:05<1:13:51,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  27%|██▋       | 1068/4000 [27:06<1:13:39,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  27%|██▋       | 1069/4000 [27:08<1:13:36,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  27%|██▋       | 1070/4000 [27:09<1:13:53,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  27%|██▋       | 1071/4000 [27:11<1:14:00,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  27%|██▋       | 1072/4000 [27:12<1:13:56,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  27%|██▋       | 1073/4000 [27:14<1:11:14,  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: 0.848281979560852
train acc: 0.8137651681900024
train loss: 0.8532645106315613
train acc: 0.8059999942779541
train loss: 0.8396011590957642
train acc: 0.8100000023841858
train loss: 0.8585217595100403
train acc: 0.7950000166893005


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  27%|██▋       | 1074/4000 [27:16<1:23:50,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  27%|██▋       | 1075/4000 [27:17<1:20:42,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  27%|██▋       | 1076/4000 [27:19<1:18:36,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  27%|██▋       | 1077/4000 [27:21<1:17:02,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  27%|██▋       | 1078/4000 [27:22<1:16:07,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  27%|██▋       | 1079/4000 [27:24<1:15:22,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  27%|██▋       | 1080/4000 [27:25<1:14:42,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  27%|██▋       | 1081/4000 [27:27<1:14:09,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  27%|██▋       | 1082/4000 [27:28<1:13:44,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  27%|██▋       | 1083/4000 [27:30<1:13:42,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  27%|██▋       | 1084/4000 [27:31<1:13:30,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  27%|██▋       | 1085/4000 [27:33<1:13:36,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  27%|██▋       | 1086/4000 [27:34<1:13:48,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  27%|██▋       | 1087/4000 [27:36<1:13:34,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  27%|██▋       | 1088/4000 [27:37<1:13:33,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  27%|██▋       | 1089/4000 [27:39<1:13:21,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  27%|██▋       | 1090/4000 [27:40<1:13:25,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  27%|██▋       | 1091/4000 [27:42<1:13:14,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  27%|██▋       | 1092/4000 [27:43<1:13:03,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  27%|██▋       | 1093/4000 [27:45<1:12:54,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  27%|██▋       | 1094/4000 [27:46<1:12:49,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  27%|██▋       | 1095/4000 [27:48<1:12:44,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  27%|██▋       | 1096/4000 [27:49<1:12:37,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  27%|██▋       | 1097/4000 [27:51<1:12:37,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  27%|██▋       | 1098/4000 [27:52<1:12:48,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  27%|██▋       | 1099/4000 [27:54<1:12:40,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  28%|██▊       | 1100/4000 [27:55<1:12:39,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  28%|██▊       | 1101/4000 [27:57<1:12:32,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  28%|██▊       | 1102/4000 [27:58<1:12:33,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  28%|██▊       | 1103/4000 [28:00<1:12:30,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  28%|██▊       | 1104/4000 [28:01<1:12:22,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.50s/it]
overall:  28%|██▊       | 1105/4000 [28:03<1:12:20,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  28%|██▊       | 1106/4000 [28:04<1:12:18,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.50s/it]
overall:  28%|██▊       | 1107/4000 [28:06<1:12:16,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  28%|██▊       | 1108/4000 [28:07<1:12:16,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.50s/it]
overall:  28%|██▊       | 1109/4000 [28:09<1:12:15,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  28%|██▊       | 1110/4000 [28:10<1:09:31,  1.44s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 0.8722878694534302
train acc: 0.8016194105148315
train loss: 0.8327174186706543
train acc: 0.7919999957084656
train loss: 0.8487378358840942
train acc: 0.8069999814033508
train loss: 0.8041038513183594
train acc: 0.807692289352417


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  28%|██▊       | 1111/4000 [28:12<1:22:20,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  28%|██▊       | 1112/4000 [28:14<1:19:27,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  28%|██▊       | 1113/4000 [28:15<1:17:25,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  28%|██▊       | 1114/4000 [28:17<1:15:59,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  28%|██▊       | 1115/4000 [28:18<1:14:47,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  28%|██▊       | 1116/4000 [28:20<1:14:04,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  28%|██▊       | 1117/4000 [28:21<1:13:35,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  28%|██▊       | 1118/4000 [28:23<1:13:11,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  28%|██▊       | 1119/4000 [28:24<1:13:03,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  28%|██▊       | 1120/4000 [28:26<1:12:51,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  28%|██▊       | 1121/4000 [28:27<1:12:40,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  28%|██▊       | 1122/4000 [28:29<1:12:26,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  28%|██▊       | 1123/4000 [28:30<1:12:48,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  28%|██▊       | 1124/4000 [28:32<1:12:33,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  28%|██▊       | 1125/4000 [28:33<1:12:19,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  28%|██▊       | 1126/4000 [28:35<1:12:10,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  28%|██▊       | 1127/4000 [28:36<1:12:04,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  28%|██▊       | 1128/4000 [28:38<1:11:56,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  28%|██▊       | 1129/4000 [28:39<1:11:53,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  28%|██▊       | 1130/4000 [28:41<1:11:49,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  28%|██▊       | 1131/4000 [28:42<1:11:56,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  28%|██▊       | 1132/4000 [28:44<1:11:51,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  28%|██▊       | 1133/4000 [28:45<1:11:50,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  28%|██▊       | 1134/4000 [28:47<1:11:47,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  28%|██▊       | 1135/4000 [28:49<1:14:17,  1.56s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.56s/it]
overall:  28%|██▊       | 1136/4000 [28:50<1:13:25,  1.54s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.54s/it]
overall:  28%|██▊       | 1137/4000 [28:52<1:12:55,  1.53s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.53s/it]
overall:  28%|██▊       | 1138/4000 [28:53<1:12:33,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  28%|██▊       | 1139/4000 [28:55<1:12:21,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  28%|██▊       | 1140/4000 [28:56<1:12:06,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  29%|██▊       | 1141/4000 [28:58<1:12:03,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  29%|██▊       | 1142/4000 [28:59<1:11:52,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  29%|██▊       | 1143/4000 [29:01<1:11:51,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  29%|██▊       | 1144/4000 [29:02<1:11:44,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  29%|██▊       | 1145/4000 [29:04<1:11:48,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  29%|██▊       | 1146/4000 [29:05<1:11:50,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  29%|██▊       | 1147/4000 [29:07<1:09:03,  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: 0.8119081258773804
train acc: 0.8209999799728394
train loss: 0.8396159410476685
train acc: 0.7979999780654907
train loss: 0.8185836672782898
train acc: 0.8119999766349792


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  29%|██▊       | 1148/4000 [29:09<1:21:29,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  29%|██▊       | 1149/4000 [29:10<1:18:24,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  29%|██▉       | 1150/4000 [29:12<1:16:18,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  29%|██▉       | 1151/4000 [29:13<1:14:55,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  29%|██▉       | 1152/4000 [29:15<1:13:50,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  29%|██▉       | 1153/4000 [29:16<1:13:15,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  29%|██▉       | 1154/4000 [29:18<1:12:47,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  29%|██▉       | 1155/4000 [29:19<1:12:41,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  29%|██▉       | 1156/4000 [29:21<1:12:27,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  29%|██▉       | 1157/4000 [29:22<1:12:15,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  29%|██▉       | 1158/4000 [29:24<1:11:56,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  29%|██▉       | 1159/4000 [29:25<1:11:42,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  29%|██▉       | 1160/4000 [29:27<1:11:57,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  29%|██▉       | 1161/4000 [29:29<1:11:39,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  29%|██▉       | 1162/4000 [29:30<1:11:24,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  29%|██▉       | 1163/4000 [29:32<1:11:15,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  29%|██▉       | 1164/4000 [29:33<1:11:13,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  29%|██▉       | 1165/4000 [29:35<1:11:12,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  29%|██▉       | 1166/4000 [29:36<1:11:21,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  29%|██▉       | 1167/4000 [29:38<1:11:10,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  29%|██▉       | 1168/4000 [29:39<1:11:03,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  29%|██▉       | 1169/4000 [29:41<1:10:59,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  29%|██▉       | 1170/4000 [29:42<1:11:01,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  29%|██▉       | 1171/4000 [29:44<1:10:57,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  29%|██▉       | 1172/4000 [29:45<1:11:12,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  29%|██▉       | 1173/4000 [29:47<1:11:02,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  29%|██▉       | 1174/4000 [29:48<1:10:53,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  29%|██▉       | 1175/4000 [29:50<1:10:49,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  29%|██▉       | 1176/4000 [29:51<1:10:42,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  29%|██▉       | 1177/4000 [29:53<1:10:40,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  29%|██▉       | 1178/4000 [29:54<1:10:48,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  29%|██▉       | 1179/4000 [29:56<1:10:44,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  30%|██▉       | 1180/4000 [29:57<1:10:38,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  30%|██▉       | 1181/4000 [29:59<1:10:37,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  30%|██▉       | 1182/4000 [30:00<1:10:42,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  30%|██▉       | 1183/4000 [30:02<1:10:37,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  30%|██▉       | 1184/4000 [30:03<1:07:52,  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: 0.7948984503746033
train acc: 0.8238866329193115
train loss: 0.7971616387367249
train acc: 0.8059999942779541
train loss: 0.8321359753608704
train acc: 0.8090000152587891
train loss: 0.7856300473213196
train acc: 0.824999988079071


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  30%|██▉       | 1185/4000 [30:05<1:20:52,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.28s/it]
overall:  30%|██▉       | 1186/4000 [30:07<1:17:48,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  30%|██▉       | 1187/4000 [30:08<1:15:36,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  30%|██▉       | 1188/4000 [30:10<1:14:07,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  30%|██▉       | 1189/4000 [30:11<1:13:13,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  30%|██▉       | 1190/4000 [30:13<1:12:17,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  30%|██▉       | 1191/4000 [30:14<1:12:07,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  30%|██▉       | 1192/4000 [30:16<1:11:49,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  30%|██▉       | 1193/4000 [30:17<1:11:31,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  30%|██▉       | 1194/4000 [30:19<1:11:11,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  30%|██▉       | 1195/4000 [30:20<1:11:04,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  30%|██▉       | 1196/4000 [30:22<1:11:00,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  30%|██▉       | 1197/4000 [30:23<1:11:21,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  30%|██▉       | 1198/4000 [30:25<1:11:07,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  30%|██▉       | 1199/4000 [30:26<1:10:49,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  30%|███       | 1200/4000 [30:28<1:10:34,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  30%|███       | 1201/4000 [30:30<1:10:37,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  30%|███       | 1202/4000 [30:31<1:10:23,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  30%|███       | 1203/4000 [30:33<1:10:15,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  30%|███       | 1204/4000 [30:34<1:10:12,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  30%|███       | 1205/4000 [30:36<1:10:03,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  30%|███       | 1206/4000 [30:37<1:09:54,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:  30%|███       | 1207/4000 [30:39<1:09:52,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  30%|███       | 1208/4000 [30:40<1:09:48,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  30%|███       | 1209/4000 [30:42<1:10:05,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  30%|███       | 1210/4000 [30:43<1:09:59,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  30%|███       | 1211/4000 [30:45<1:09:53,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  30%|███       | 1212/4000 [30:46<1:09:44,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.50s/it]
overall:  30%|███       | 1213/4000 [30:48<1:09:56,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  30%|███       | 1214/4000 [30:49<1:09:52,  1.50s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.50s/it]
overall:  30%|███       | 1215/4000 [30:51<1:09:46,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  30%|███       | 1216/4000 [30:52<1:09:43,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  30%|███       | 1217/4000 [30:54<1:09:39,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  30%|███       | 1218/4000 [30:55<1:09:36,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  30%|███       | 1219/4000 [30:57<1:09:44,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  30%|███       | 1220/4000 [30:58<1:09:43,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  31%|███       | 1221/4000 [30:59<1:07:07,  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: 0.7809504270553589
train acc: 0.8340080976486206
train loss: 0.8194887042045593
train acc: 0.8100000023841858
train loss: 0.7964329719543457
train acc: 0.8140000104904175
train loss: 0.7897247076034546
train acc: 0.8040000200271606


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  31%|███       | 1222/4000 [31:02<1:19:42,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.26s/it]
overall:  31%|███       | 1223/4000 [31:03<1:16:48,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  31%|███       | 1224/4000 [31:05<1:14:36,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  31%|███       | 1225/4000 [31:06<1:13:17,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  31%|███       | 1226/4000 [31:08<1:12:12,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  31%|███       | 1227/4000 [31:09<1:11:45,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  31%|███       | 1228/4000 [31:11<1:11:18,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  31%|███       | 1229/4000 [31:12<1:10:55,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  31%|███       | 1230/4000 [31:14<1:10:34,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  31%|███       | 1231/4000 [31:15<1:10:19,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  31%|███       | 1232/4000 [31:17<1:09:55,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  31%|███       | 1233/4000 [31:18<1:09:39,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  31%|███       | 1234/4000 [31:20<1:10:18,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  31%|███       | 1235/4000 [31:21<1:09:57,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  31%|███       | 1236/4000 [31:23<1:09:38,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  31%|███       | 1237/4000 [31:24<1:09:36,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  31%|███       | 1238/4000 [31:26<1:09:19,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  31%|███       | 1239/4000 [31:27<1:09:09,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  31%|███       | 1240/4000 [31:29<1:09:05,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  31%|███       | 1241/4000 [31:30<1:09:01,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  31%|███       | 1242/4000 [31:32<1:08:59,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  31%|███       | 1243/4000 [31:33<1:08:54,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  31%|███       | 1244/4000 [31:35<1:08:52,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.50s/it]
overall:  31%|███       | 1245/4000 [31:36<1:08:51,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  31%|███       | 1246/4000 [31:38<1:09:09,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  31%|███       | 1247/4000 [31:39<1:09:10,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  31%|███       | 1248/4000 [31:41<1:09:06,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  31%|███       | 1249/4000 [31:42<1:09:16,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  31%|███▏      | 1250/4000 [31:44<1:09:05,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  31%|███▏      | 1251/4000 [31:45<1:09:00,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  31%|███▏      | 1252/4000 [31:47<1:08:50,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  31%|███▏      | 1253/4000 [31:48<1:08:48,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  31%|███▏      | 1254/4000 [31:50<1:08:44,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  31%|███▏      | 1255/4000 [31:51<1:08:38,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  31%|███▏      | 1256/4000 [31:53<1:08:34,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.50s/it]
overall:  31%|███▏      | 1257/4000 [31:54<1:08:34,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  31%|███▏      | 1258/4000 [31:56<1:05:58,  1.44s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 0.7622722387313843
train acc: 0.841093122959137
train loss: 0.7726188898086548
train acc: 0.8220000267028809
train loss: 0.8111074566841125
train acc: 0.8080000281333923


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  31%|███▏      | 1259/4000 [31:58<1:17:32,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  32%|███▏      | 1260/4000 [32:00<1:15:46,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  32%|███▏      | 1261/4000 [32:01<1:13:39,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  32%|███▏      | 1262/4000 [32:03<1:12:09,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  32%|███▏      | 1263/4000 [32:04<1:11:14,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  32%|███▏      | 1264/4000 [32:06<1:10:23,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  32%|███▏      | 1265/4000 [32:07<1:09:54,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  32%|███▏      | 1266/4000 [32:09<1:09:28,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  32%|███▏      | 1267/4000 [32:10<1:09:07,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  32%|███▏      | 1268/4000 [32:12<1:09:01,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  32%|███▏      | 1269/4000 [32:13<1:08:52,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  32%|███▏      | 1270/4000 [32:15<1:08:41,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  32%|███▏      | 1271/4000 [32:16<1:09:03,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  32%|███▏      | 1272/4000 [32:18<1:09:17,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  32%|███▏      | 1273/4000 [32:19<1:08:59,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  32%|███▏      | 1274/4000 [32:21<1:08:54,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  32%|███▏      | 1275/4000 [32:22<1:08:56,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  32%|███▏      | 1276/4000 [32:24<1:08:53,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  32%|███▏      | 1277/4000 [32:25<1:08:41,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  32%|███▏      | 1278/4000 [32:27<1:08:33,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  32%|███▏      | 1279/4000 [32:28<1:08:30,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  32%|███▏      | 1280/4000 [32:30<1:08:23,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  32%|███▏      | 1281/4000 [32:31<1:08:13,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  32%|███▏      | 1282/4000 [32:33<1:08:07,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  32%|███▏      | 1283/4000 [32:34<1:08:17,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  32%|███▏      | 1284/4000 [32:36<1:08:25,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  32%|███▏      | 1285/4000 [32:37<1:08:14,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  32%|███▏      | 1286/4000 [32:39<1:08:07,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  32%|███▏      | 1287/4000 [32:40<1:08:14,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  32%|███▏      | 1288/4000 [32:42<1:08:20,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  32%|███▏      | 1289/4000 [32:43<1:08:13,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  32%|███▏      | 1290/4000 [32:45<1:08:16,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  32%|███▏      | 1291/4000 [32:46<1:08:06,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  32%|███▏      | 1292/4000 [32:48<1:07:58,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  32%|███▏      | 1293/4000 [32:49<1:07:50,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  32%|███▏      | 1294/4000 [32:51<1:07:46,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  32%|███▏      | 1295/4000 [32:52<1:05:11,  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: 0.7730838060379028
train acc: 0.8259109258651733
train loss: 0.7625576257705688
train acc: 0.8199999928474426
train loss: 0.7962769865989685
train acc: 0.8180000185966492
train loss: 0.75202476978302
train acc: 0.8289999961853027


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  32%|███▏      | 1296/4000 [32:55<1:17:33,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.25s/it]
overall:  32%|███▏      | 1297/4000 [32:56<1:15:20,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  32%|███▏      | 1298/4000 [32:58<1:13:08,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  32%|███▏      | 1299/4000 [32:59<1:11:32,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  32%|███▎      | 1300/4000 [33:01<1:10:23,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  33%|███▎      | 1301/4000 [33:02<1:09:28,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  33%|███▎      | 1302/4000 [33:04<1:08:58,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  33%|███▎      | 1303/4000 [33:05<1:08:31,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  33%|███▎      | 1304/4000 [33:07<1:08:15,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  33%|███▎      | 1305/4000 [33:08<1:07:59,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  33%|███▎      | 1306/4000 [33:10<1:07:53,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  33%|███▎      | 1307/4000 [33:11<1:07:49,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  33%|███▎      | 1308/4000 [33:13<1:07:52,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  33%|███▎      | 1309/4000 [33:14<1:08:02,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  33%|███▎      | 1310/4000 [33:16<1:07:57,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  33%|███▎      | 1311/4000 [33:17<1:07:57,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  33%|███▎      | 1312/4000 [33:19<1:07:57,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  33%|███▎      | 1313/4000 [33:20<1:07:46,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  33%|███▎      | 1314/4000 [33:22<1:07:47,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  33%|███▎      | 1315/4000 [33:23<1:07:37,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  33%|███▎      | 1316/4000 [33:25<1:07:35,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  33%|███▎      | 1317/4000 [33:26<1:07:30,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  33%|███▎      | 1318/4000 [33:28<1:07:26,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  33%|███▎      | 1319/4000 [33:29<1:07:23,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  33%|███▎      | 1320/4000 [33:31<1:07:33,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  33%|███▎      | 1321/4000 [33:32<1:07:36,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  33%|███▎      | 1322/4000 [33:34<1:07:25,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  33%|███▎      | 1323/4000 [33:35<1:07:15,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  33%|███▎      | 1324/4000 [33:37<1:07:15,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  33%|███▎      | 1325/4000 [33:38<1:07:16,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  33%|███▎      | 1326/4000 [33:40<1:07:19,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  33%|███▎      | 1327/4000 [33:42<1:07:12,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  33%|███▎      | 1328/4000 [33:43<1:07:17,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  33%|███▎      | 1329/4000 [33:45<1:07:08,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  33%|███▎      | 1330/4000 [33:46<1:07:14,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  33%|███▎      | 1331/4000 [33:48<1:07:16,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  33%|███▎      | 1332/4000 [33:49<1:04:43,  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: 0.8059854507446289
train acc: 0.8218623399734497
train loss: 0.7205187082290649
train acc: 0.843999981880188
train loss: 0.7826003432273865
train acc: 0.8149999976158142
train loss: 0.7426977157592773
train acc: 0.828000009059906


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  33%|███▎      | 1333/4000 [33:51<1:16:17,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  33%|███▎      | 1334/4000 [33:53<1:13:30,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  33%|███▎      | 1335/4000 [33:54<1:11:36,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  33%|███▎      | 1336/4000 [33:56<1:10:14,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  33%|███▎      | 1337/4000 [33:57<1:09:08,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  33%|███▎      | 1338/4000 [33:59<1:08:17,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  33%|███▎      | 1339/4000 [34:00<1:07:45,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  34%|███▎      | 1340/4000 [34:02<1:07:22,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  34%|███▎      | 1341/4000 [34:03<1:07:18,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  34%|███▎      | 1342/4000 [34:05<1:07:17,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  34%|███▎      | 1343/4000 [34:06<1:07:02,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  34%|███▎      | 1344/4000 [34:08<1:06:51,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  34%|███▎      | 1345/4000 [34:09<1:07:04,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  34%|███▎      | 1346/4000 [34:11<1:06:52,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  34%|███▎      | 1347/4000 [34:12<1:06:51,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  34%|███▎      | 1348/4000 [34:14<1:06:46,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  34%|███▎      | 1349/4000 [34:15<1:06:38,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  34%|███▍      | 1350/4000 [34:17<1:06:33,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  34%|███▍      | 1351/4000 [34:18<1:06:38,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  34%|███▍      | 1352/4000 [34:20<1:06:41,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  34%|███▍      | 1353/4000 [34:21<1:06:48,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  34%|███▍      | 1354/4000 [34:23<1:06:48,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  34%|███▍      | 1355/4000 [34:24<1:06:49,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  34%|███▍      | 1356/4000 [34:26<1:06:43,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  34%|███▍      | 1357/4000 [34:27<1:06:58,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  34%|███▍      | 1358/4000 [34:29<1:06:37,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  34%|███▍      | 1359/4000 [34:30<1:06:28,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  34%|███▍      | 1360/4000 [34:32<1:06:18,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  34%|███▍      | 1361/4000 [34:33<1:06:11,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  34%|███▍      | 1362/4000 [34:35<1:06:08,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  34%|███▍      | 1363/4000 [34:36<1:06:15,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  34%|███▍      | 1364/4000 [34:38<1:06:07,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  34%|███▍      | 1365/4000 [34:39<1:06:14,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  34%|███▍      | 1366/4000 [34:41<1:06:09,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  34%|███▍      | 1367/4000 [34:43<1:06:16,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  34%|███▍      | 1368/4000 [34:44<1:06:07,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  34%|███▍      | 1369/4000 [34:45<1:03:37,  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: 0.7155728340148926
train acc: 0.8481781482696533
train loss: 0.7647982835769653
train acc: 0.8270000219345093
train loss: 0.7336557507514954
train acc: 0.8289999961853027


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  34%|███▍      | 1370/4000 [34:48<1:14:47,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  34%|███▍      | 1371/4000 [34:49<1:12:29,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  34%|███▍      | 1372/4000 [34:51<1:10:28,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  34%|███▍      | 1373/4000 [34:52<1:09:11,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  34%|███▍      | 1374/4000 [34:54<1:08:08,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  34%|███▍      | 1375/4000 [34:55<1:07:39,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  34%|███▍      | 1376/4000 [34:57<1:07:02,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  34%|███▍      | 1377/4000 [34:58<1:06:40,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  34%|███▍      | 1378/4000 [35:00<1:06:23,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  34%|███▍      | 1379/4000 [35:01<1:06:11,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  34%|███▍      | 1380/4000 [35:03<1:05:57,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  35%|███▍      | 1381/4000 [35:04<1:05:46,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  35%|███▍      | 1382/4000 [35:06<1:05:45,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  35%|███▍      | 1383/4000 [35:07<1:05:48,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  35%|███▍      | 1384/4000 [35:09<1:05:38,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  35%|███▍      | 1385/4000 [35:10<1:05:34,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  35%|███▍      | 1386/4000 [35:12<1:05:27,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:  35%|███▍      | 1387/4000 [35:13<1:05:38,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  35%|███▍      | 1388/4000 [35:15<1:05:29,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  35%|███▍      | 1389/4000 [35:16<1:05:25,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  35%|███▍      | 1390/4000 [35:18<1:05:21,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  35%|███▍      | 1391/4000 [35:19<1:05:31,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  35%|███▍      | 1392/4000 [35:21<1:05:42,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  35%|███▍      | 1393/4000 [35:22<1:05:46,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  35%|███▍      | 1394/4000 [35:24<1:05:46,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  35%|███▍      | 1395/4000 [35:25<1:05:57,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:  35%|███▍      | 1396/4000 [35:27<1:05:46,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  35%|███▍      | 1397/4000 [35:28<1:05:33,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  35%|███▍      | 1398/4000 [35:30<1:05:16,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  35%|███▍      | 1399/4000 [35:31<1:05:20,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:  35%|███▌      | 1400/4000 [35:33<1:05:12,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  35%|███▌      | 1401/4000 [35:34<1:05:04,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  35%|███▌      | 1402/4000 [35:36<1:05:02,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  35%|███▌      | 1403/4000 [35:37<1:05:02,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  35%|███▌      | 1404/4000 [35:39<1:04:54,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  35%|███▌      | 1405/4000 [35:40<1:04:50,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  35%|███▌      | 1406/4000 [35:42<1:02:18,  1.44s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 0.7692770957946777
train acc: 0.8178137540817261
train loss: 0.7302056550979614
train acc: 0.8230000138282776
train loss: 0.7387688755989075
train acc: 0.8399999737739563
train loss: 0.7351483106613159
train acc: 0.8370000123977661


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  35%|███▌      | 1407/4000 [35:44<1:13:36,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  35%|███▌      | 1408/4000 [35:46<1:11:10,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  35%|███▌      | 1409/4000 [35:47<1:09:19,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  35%|███▌      | 1410/4000 [35:49<1:07:55,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  35%|███▌      | 1411/4000 [35:50<1:06:52,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  35%|███▌      | 1412/4000 [35:52<1:06:13,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  35%|███▌      | 1413/4000 [35:53<1:06:00,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  35%|███▌      | 1414/4000 [35:55<1:05:41,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  35%|███▌      | 1415/4000 [35:56<1:05:28,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  35%|███▌      | 1416/4000 [35:58<1:05:25,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  35%|███▌      | 1417/4000 [35:59<1:05:22,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  35%|███▌      | 1418/4000 [36:01<1:05:08,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  35%|███▌      | 1419/4000 [36:02<1:05:24,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  36%|███▌      | 1420/4000 [36:04<1:05:11,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  36%|███▌      | 1421/4000 [36:05<1:05:10,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  36%|███▌      | 1422/4000 [36:07<1:05:06,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  36%|███▌      | 1423/4000 [36:08<1:05:09,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  36%|███▌      | 1424/4000 [36:10<1:04:58,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  36%|███▌      | 1425/4000 [36:11<1:04:47,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  36%|███▌      | 1426/4000 [36:13<1:04:50,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  36%|███▌      | 1427/4000 [36:14<1:04:43,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  36%|███▌      | 1428/4000 [36:16<1:04:47,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  36%|███▌      | 1429/4000 [36:17<1:04:38,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  36%|███▌      | 1430/4000 [36:19<1:04:31,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  36%|███▌      | 1431/4000 [36:20<1:04:43,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  36%|███▌      | 1432/4000 [36:22<1:04:44,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  36%|███▌      | 1433/4000 [36:23<1:04:46,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  36%|███▌      | 1434/4000 [36:25<1:04:46,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  36%|███▌      | 1435/4000 [36:26<1:04:36,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  36%|███▌      | 1436/4000 [36:28<1:04:37,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  36%|███▌      | 1437/4000 [36:29<1:04:29,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  36%|███▌      | 1438/4000 [36:31<1:04:18,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  36%|███▌      | 1439/4000 [36:32<1:04:12,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  36%|███▌      | 1440/4000 [36:34<1:04:24,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  36%|███▌      | 1441/4000 [36:35<1:04:13,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  36%|███▌      | 1442/4000 [36:37<1:04:12,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  36%|███▌      | 1443/4000 [36:38<1:01:42,  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: 0.7230905890464783
train acc: 0.8289473652839661
train loss: 0.7426336407661438
train acc: 0.8299999833106995
train loss: 0.7085219025611877
train acc: 0.8429999947547913
train loss: 0.7499451041221619
train acc: 0.8199999928474426


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  36%|███▌      | 1444/4000 [36:41<1:13:50,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  36%|███▌      | 1445/4000 [36:42<1:10:48,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  36%|███▌      | 1446/4000 [36:44<1:08:44,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  36%|███▌      | 1447/4000 [36:45<1:07:30,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  36%|███▌      | 1448/4000 [36:47<1:06:20,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  36%|███▌      | 1449/4000 [36:48<1:05:34,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  36%|███▋      | 1450/4000 [36:50<1:05:00,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  36%|███▋      | 1451/4000 [36:51<1:04:35,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  36%|███▋      | 1452/4000 [36:53<1:04:18,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  36%|███▋      | 1453/4000 [36:54<1:04:04,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  36%|███▋      | 1454/4000 [36:56<1:03:57,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  36%|███▋      | 1455/4000 [36:57<1:03:48,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  36%|███▋      | 1456/4000 [36:59<1:03:58,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  36%|███▋      | 1457/4000 [37:00<1:03:49,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  36%|███▋      | 1458/4000 [37:02<1:03:55,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  36%|███▋      | 1459/4000 [37:03<1:03:54,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  36%|███▋      | 1460/4000 [37:05<1:03:44,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  37%|███▋      | 1461/4000 [37:06<1:03:35,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  37%|███▋      | 1462/4000 [37:08<1:03:30,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  37%|███▋      | 1463/4000 [37:09<1:03:26,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  37%|███▋      | 1464/4000 [37:11<1:03:24,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  37%|███▋      | 1465/4000 [37:12<1:03:23,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  37%|███▋      | 1466/4000 [37:14<1:03:19,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.50s/it]
overall:  37%|███▋      | 1467/4000 [37:15<1:03:15,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  37%|███▋      | 1468/4000 [37:17<1:03:18,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  37%|███▋      | 1469/4000 [37:18<1:03:14,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  37%|███▋      | 1470/4000 [37:20<1:03:17,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  37%|███▋      | 1471/4000 [37:21<1:03:27,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  37%|███▋      | 1472/4000 [37:23<1:03:21,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  37%|███▋      | 1473/4000 [37:24<1:03:15,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  37%|███▋      | 1474/4000 [37:26<1:03:10,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  37%|███▋      | 1475/4000 [37:27<1:03:12,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  37%|███▋      | 1476/4000 [37:29<1:03:09,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  37%|███▋      | 1477/4000 [37:30<1:03:18,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:  37%|███▋      | 1478/4000 [37:32<1:03:30,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  37%|███▋      | 1479/4000 [37:33<1:03:21,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.51s/it]
overall:  37%|███▋      | 1480/4000 [37:34<1:00:55,  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: 0.7359060645103455
train acc: 0.8340080976486206
train loss: 0.7406684160232544
train acc: 0.8309999704360962
train loss: 0.6947748064994812
train acc: 0.843999981880188
train loss: 0.6974215507507324
train acc: 0.8441295623779297


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  37%|███▋      | 1481/4000 [37:37<1:11:37,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  37%|███▋      | 1482/4000 [37:38<1:09:25,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  37%|███▋      | 1483/4000 [37:40<1:07:42,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  37%|███▋      | 1484/4000 [37:41<1:06:17,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  37%|███▋      | 1485/4000 [37:43<1:05:25,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  37%|███▋      | 1486/4000 [37:44<1:04:39,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  37%|███▋      | 1487/4000 [37:46<1:04:06,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  37%|███▋      | 1488/4000 [37:47<1:03:39,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  37%|███▋      | 1489/4000 [37:49<1:03:23,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  37%|███▋      | 1490/4000 [37:50<1:03:12,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  37%|███▋      | 1491/4000 [37:52<1:03:01,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  37%|███▋      | 1492/4000 [37:53<1:02:53,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  37%|███▋      | 1493/4000 [37:55<1:03:03,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  37%|███▋      | 1494/4000 [37:56<1:02:52,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  37%|███▋      | 1495/4000 [37:58<1:02:45,  1.50s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.50s/it]
overall:  37%|███▋      | 1496/4000 [37:59<1:02:41,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  37%|███▋      | 1497/4000 [38:01<1:02:38,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:  37%|███▋      | 1498/4000 [38:02<1:02:35,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  37%|███▋      | 1499/4000 [38:04<1:02:36,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  38%|███▊      | 1500/4000 [38:05<1:02:33,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  38%|███▊      | 1501/4000 [38:07<1:02:32,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  38%|███▊      | 1502/4000 [38:08<1:02:29,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  38%|███▊      | 1503/4000 [38:10<1:02:28,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  38%|███▊      | 1504/4000 [38:11<1:02:30,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  38%|███▊      | 1505/4000 [38:13<1:04:27,  1.55s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.55s/it]
overall:  38%|███▊      | 1506/4000 [38:15<1:03:50,  1.54s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.54s/it]
overall:  38%|███▊      | 1507/4000 [38:16<1:03:22,  1.53s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.53s/it]
overall:  38%|███▊      | 1508/4000 [38:18<1:03:03,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.52s/it]
overall:  38%|███▊      | 1509/4000 [38:19<1:02:49,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  38%|███▊      | 1510/4000 [38:21<1:02:39,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:  38%|███▊      | 1511/4000 [38:22<1:02:42,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  38%|███▊      | 1512/4000 [38:24<1:02:31,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  38%|███▊      | 1513/4000 [38:25<1:02:25,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  38%|███▊      | 1514/4000 [38:27<1:02:19,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  38%|███▊      | 1515/4000 [38:28<1:02:25,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  38%|███▊      | 1516/4000 [38:30<1:02:22,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  38%|███▊      | 1517/4000 [38:31<1:00:06,  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: 0.7105859518051147
train acc: 0.8489999771118164
train loss: 0.7067880034446716
train acc: 0.843999981880188
train loss: 0.7024475932121277
train acc: 0.8230000138282776


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  38%|███▊      | 1518/4000 [38:33<1:10:41,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  38%|███▊      | 1519/4000 [38:35<1:08:28,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  38%|███▊      | 1520/4000 [38:36<1:06:49,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  38%|███▊      | 1521/4000 [38:38<1:05:25,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  38%|███▊      | 1522/4000 [38:39<1:04:36,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  38%|███▊      | 1523/4000 [38:41<1:03:59,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  38%|███▊      | 1524/4000 [38:42<1:03:35,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  38%|███▊      | 1525/4000 [38:44<1:03:05,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  38%|███▊      | 1526/4000 [38:45<1:03:05,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  38%|███▊      | 1527/4000 [38:47<1:02:46,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  38%|███▊      | 1528/4000 [38:48<1:02:31,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  38%|███▊      | 1529/4000 [38:50<1:02:22,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  38%|███▊      | 1530/4000 [38:51<1:02:13,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  38%|███▊      | 1531/4000 [38:53<1:02:14,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  38%|███▊      | 1532/4000 [38:54<1:02:16,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  38%|███▊      | 1533/4000 [38:56<1:02:22,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  38%|███▊      | 1534/4000 [38:57<1:02:07,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  38%|███▊      | 1535/4000 [38:59<1:02:01,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  38%|███▊      | 1536/4000 [39:00<1:01:49,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  38%|███▊      | 1537/4000 [39:02<1:01:45,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  38%|███▊      | 1538/4000 [39:03<1:01:54,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  38%|███▊      | 1539/4000 [39:05<1:01:55,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  38%|███▊      | 1540/4000 [39:06<1:01:50,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  39%|███▊      | 1541/4000 [39:08<1:01:49,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  39%|███▊      | 1542/4000 [39:10<1:01:48,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  39%|███▊      | 1543/4000 [39:11<1:01:57,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  39%|███▊      | 1544/4000 [39:13<1:01:59,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  39%|███▊      | 1545/4000 [39:14<1:01:59,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  39%|███▊      | 1546/4000 [39:16<1:01:50,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  39%|███▊      | 1547/4000 [39:17<1:01:50,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  39%|███▊      | 1548/4000 [39:19<1:01:41,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  39%|███▊      | 1549/4000 [39:20<1:01:42,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  39%|███▉      | 1550/4000 [39:22<1:01:49,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  39%|███▉      | 1551/4000 [39:23<1:01:37,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  39%|███▉      | 1552/4000 [39:25<1:01:31,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  39%|███▉      | 1553/4000 [39:26<1:01:25,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  39%|███▉      | 1554/4000 [39:27<59:02,  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: 0.7126046419143677
train acc: 0.841093122959137
train loss: 0.7428210973739624
train acc: 0.8190000057220459
train loss: 0.6835227012634277
train acc: 0.8370000123977661
train loss: 0.6908747553825378
train acc: 0.8429999947547913


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  39%|███▉      | 1555/4000 [39:30<1:09:12,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  39%|███▉      | 1556/4000 [39:31<1:06:59,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  39%|███▉      | 1557/4000 [39:33<1:05:25,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  39%|███▉      | 1558/4000 [39:34<1:04:07,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  39%|███▉      | 1559/4000 [39:36<1:03:11,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  39%|███▉      | 1560/4000 [39:37<1:02:37,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  39%|███▉      | 1561/4000 [39:39<1:02:13,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  39%|███▉      | 1562/4000 [39:40<1:01:55,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  39%|███▉      | 1563/4000 [39:42<1:01:58,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  39%|███▉      | 1564/4000 [39:43<1:01:51,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  39%|███▉      | 1565/4000 [39:45<1:01:44,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  39%|███▉      | 1566/4000 [39:46<1:01:40,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  39%|███▉      | 1567/4000 [39:48<1:02:10,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  39%|███▉      | 1568/4000 [39:49<1:02:00,  1.53s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.53s/it]
overall:  39%|███▉      | 1569/4000 [39:51<1:01:49,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  39%|███▉      | 1570/4000 [39:52<1:01:34,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  39%|███▉      | 1571/4000 [39:54<1:01:26,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  39%|███▉      | 1572/4000 [39:56<1:01:23,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  39%|███▉      | 1573/4000 [39:57<1:01:18,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  39%|███▉      | 1574/4000 [39:59<1:01:12,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  39%|███▉      | 1575/4000 [40:00<1:01:14,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  39%|███▉      | 1576/4000 [40:02<1:01:05,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  39%|███▉      | 1577/4000 [40:03<1:01:05,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  39%|███▉      | 1578/4000 [40:05<1:00:57,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  39%|███▉      | 1579/4000 [40:06<1:01:00,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  40%|███▉      | 1580/4000 [40:08<1:01:08,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  40%|███▉      | 1581/4000 [40:09<1:01:07,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  40%|███▉      | 1582/4000 [40:11<1:01:04,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  40%|███▉      | 1583/4000 [40:12<1:00:57,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  40%|███▉      | 1584/4000 [40:14<1:00:57,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  40%|███▉      | 1585/4000 [40:15<1:00:48,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  40%|███▉      | 1586/4000 [40:17<1:00:47,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  40%|███▉      | 1587/4000 [40:18<1:00:42,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  40%|███▉      | 1588/4000 [40:20<1:00:47,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  40%|███▉      | 1589/4000 [40:21<1:00:50,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  40%|███▉      | 1590/4000 [40:23<1:00:39,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  40%|███▉      | 1591/4000 [40:24<58:28,  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: 0.6784113049507141
train acc: 0.8542510271072388
train loss: 0.7065863013267517
train acc: 0.8360000252723694
train loss: 0.6891945600509644
train acc: 0.8410000205039978
train loss: 0.6919673681259155
train acc: 0.8379999995231628


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  40%|███▉      | 1592/4000 [40:26<1:08:29,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  40%|███▉      | 1593/4000 [40:28<1:05:56,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  40%|███▉      | 1594/4000 [40:29<1:04:25,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  40%|███▉      | 1595/4000 [40:31<1:03:12,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  40%|███▉      | 1596/4000 [40:32<1:02:22,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  40%|███▉      | 1597/4000 [40:34<1:01:51,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  40%|███▉      | 1598/4000 [40:35<1:01:21,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  40%|███▉      | 1599/4000 [40:37<1:01:21,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  40%|████      | 1600/4000 [40:38<1:01:12,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  40%|████      | 1601/4000 [40:40<1:01:17,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  40%|████      | 1602/4000 [40:42<1:00:52,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  40%|████      | 1603/4000 [40:43<1:00:45,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  40%|████      | 1604/4000 [40:45<1:00:42,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  40%|████      | 1605/4000 [40:46<1:00:26,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  40%|████      | 1606/4000 [40:48<1:00:22,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  40%|████      | 1607/4000 [40:49<1:00:18,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  40%|████      | 1608/4000 [40:51<1:00:10,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  40%|████      | 1609/4000 [40:52<59:59,  1.51s/it]  

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  40%|████      | 1610/4000 [40:54<59:57,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  40%|████      | 1611/4000 [40:55<1:00:02,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  40%|████      | 1612/4000 [40:57<59:53,  1.50s/it]  

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  40%|████      | 1613/4000 [40:58<59:48,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  40%|████      | 1614/4000 [41:00<59:44,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  40%|████      | 1615/4000 [41:01<59:41,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  40%|████      | 1616/4000 [41:03<59:40,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  40%|████      | 1617/4000 [41:04<59:35,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  40%|████      | 1618/4000 [41:06<59:34,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  40%|████      | 1619/4000 [41:07<59:31,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  40%|████      | 1620/4000 [41:09<59:31,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  41%|████      | 1621/4000 [41:10<59:29,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  41%|████      | 1622/4000 [41:12<59:24,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.50s/it]
overall:  41%|████      | 1623/4000 [41:13<59:37,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  41%|████      | 1624/4000 [41:15<59:35,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  41%|████      | 1625/4000 [41:16<59:30,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  41%|████      | 1626/4000 [41:18<59:28,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  41%|████      | 1627/4000 [41:19<59:33,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.51s/it]
overall:  41%|████      | 1628/4000 [41:20<57:22,  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: 0.7134718894958496
train acc: 0.8340080976486206
train loss: 0.6902163028717041
train acc: 0.8399999737739563
train loss: 0.6633999943733215
train acc: 0.8539999723434448


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  41%|████      | 1629/4000 [41:23<1:07:48,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  41%|████      | 1630/4000 [41:24<1:05:29,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  41%|████      | 1631/4000 [41:26<1:03:49,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  41%|████      | 1632/4000 [41:27<1:02:34,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  41%|████      | 1633/4000 [41:29<1:01:44,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  41%|████      | 1634/4000 [41:30<1:01:04,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  41%|████      | 1635/4000 [41:32<1:00:30,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  41%|████      | 1636/4000 [41:33<1:00:05,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  41%|████      | 1637/4000 [41:35<59:49,  1.52s/it]  

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  41%|████      | 1638/4000 [41:36<59:51,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  41%|████      | 1639/4000 [41:38<59:49,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  41%|████      | 1640/4000 [41:39<59:46,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  41%|████      | 1641/4000 [41:41<59:58,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  41%|████      | 1642/4000 [41:43<1:00:07,  1.53s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.53s/it]
overall:  41%|████      | 1643/4000 [41:44<59:55,  1.53s/it]  

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  41%|████      | 1644/4000 [41:46<59:37,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  41%|████      | 1645/4000 [41:47<59:24,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  41%|████      | 1646/4000 [41:49<59:12,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  41%|████      | 1647/4000 [41:50<59:04,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  41%|████      | 1648/4000 [41:52<58:58,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  41%|████      | 1649/4000 [41:53<58:53,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  41%|████▏     | 1650/4000 [41:55<58:51,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  41%|████▏     | 1651/4000 [41:56<58:45,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  41%|████▏     | 1652/4000 [41:58<58:44,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  41%|████▏     | 1653/4000 [41:59<58:54,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  41%|████▏     | 1654/4000 [42:01<58:58,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  41%|████▏     | 1655/4000 [42:02<58:54,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  41%|████▏     | 1656/4000 [42:04<58:52,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  41%|████▏     | 1657/4000 [42:05<58:49,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  41%|████▏     | 1658/4000 [42:07<58:47,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  41%|████▏     | 1659/4000 [42:08<58:45,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  42%|████▏     | 1660/4000 [42:10<58:38,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  42%|████▏     | 1661/4000 [42:11<58:53,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  42%|████▏     | 1662/4000 [42:13<58:52,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  42%|████▏     | 1663/4000 [42:14<58:55,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  42%|████▏     | 1664/4000 [42:16<58:45,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  42%|████▏     | 1665/4000 [42:17<56:27,  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: 0.6708037853240967
train acc: 0.8421052694320679
train loss: 0.6549575924873352
train acc: 0.8529999852180481
train loss: 0.7064653635025024
train acc: 0.824999988079071
train loss: 0.667479395866394
train acc: 0.8569999933242798


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  42%|████▏     | 1666/4000 [42:19<1:07:46,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  42%|████▏     | 1667/4000 [42:21<1:05:10,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  42%|████▏     | 1668/4000 [42:22<1:03:16,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  42%|████▏     | 1669/4000 [42:24<1:01:59,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  42%|████▏     | 1670/4000 [42:25<1:00:52,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  42%|████▏     | 1671/4000 [42:27<1:00:12,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  42%|████▏     | 1672/4000 [42:28<59:37,  1.54s/it]  

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  42%|████▏     | 1673/4000 [42:30<59:12,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  42%|████▏     | 1674/4000 [42:31<59:01,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  42%|████▏     | 1675/4000 [42:33<58:48,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  42%|████▏     | 1676/4000 [42:34<58:47,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  42%|████▏     | 1677/4000 [42:36<58:47,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  42%|████▏     | 1678/4000 [42:38<58:44,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  42%|████▏     | 1679/4000 [42:39<58:45,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  42%|████▏     | 1680/4000 [42:41<59:03,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  42%|████▏     | 1681/4000 [42:42<58:50,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  42%|████▏     | 1682/4000 [42:44<58:34,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  42%|████▏     | 1683/4000 [42:45<58:31,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  42%|████▏     | 1684/4000 [42:47<58:20,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  42%|████▏     | 1685/4000 [42:48<58:13,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  42%|████▏     | 1686/4000 [42:50<58:04,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  42%|████▏     | 1687/4000 [42:51<57:59,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:  42%|████▏     | 1688/4000 [42:53<57:57,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  42%|████▏     | 1689/4000 [42:54<57:51,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  42%|████▏     | 1690/4000 [42:56<57:48,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  42%|████▏     | 1691/4000 [42:57<57:59,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  42%|████▏     | 1692/4000 [42:59<58:03,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  42%|████▏     | 1693/4000 [43:00<57:56,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  42%|████▏     | 1694/4000 [43:02<57:50,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  42%|████▏     | 1695/4000 [43:03<57:45,  1.50s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.50s/it]
overall:  42%|████▏     | 1696/4000 [43:05<57:39,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  42%|████▏     | 1697/4000 [43:06<57:42,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  42%|████▏     | 1698/4000 [43:08<57:44,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  42%|████▏     | 1699/4000 [43:09<57:38,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  42%|████▎     | 1700/4000 [43:11<57:44,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  43%|████▎     | 1701/4000 [43:12<57:42,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  43%|████▎     | 1702/4000 [43:14<55:27,  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: 0.6744358539581299
train acc: 0.851214587688446
train loss: 0.7051177620887756
train acc: 0.8339999914169312
train loss: 0.699604868888855
train acc: 0.8349999785423279
train loss: 0.6397737264633179
train acc: 0.8600000143051147


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  43%|████▎     | 1703/4000 [43:16<1:06:45,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  43%|████▎     | 1704/4000 [43:17<1:04:07,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  43%|████▎     | 1705/4000 [43:19<1:02:14,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  43%|████▎     | 1706/4000 [43:20<1:00:57,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  43%|████▎     | 1707/4000 [43:22<59:57,  1.57s/it]  

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  43%|████▎     | 1708/4000 [43:24<59:32,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  43%|████▎     | 1709/4000 [43:25<59:01,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  43%|████▎     | 1710/4000 [43:27<58:33,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  43%|████▎     | 1711/4000 [43:28<58:15,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  43%|████▎     | 1712/4000 [43:30<58:00,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  43%|████▎     | 1713/4000 [43:31<57:55,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  43%|████▎     | 1714/4000 [43:33<57:52,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  43%|████▎     | 1715/4000 [43:34<58:07,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  43%|████▎     | 1716/4000 [43:36<57:47,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  43%|████▎     | 1717/4000 [43:37<57:32,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  43%|████▎     | 1718/4000 [43:39<57:34,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  43%|████▎     | 1719/4000 [43:40<57:23,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  43%|████▎     | 1720/4000 [43:42<57:31,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  43%|████▎     | 1721/4000 [43:43<57:19,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  43%|████▎     | 1722/4000 [43:45<57:13,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  43%|████▎     | 1723/4000 [43:46<57:04,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  43%|████▎     | 1724/4000 [43:48<56:59,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:  43%|████▎     | 1725/4000 [43:49<56:55,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  43%|████▎     | 1726/4000 [43:51<56:52,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  43%|████▎     | 1727/4000 [43:52<57:01,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  43%|████▎     | 1728/4000 [43:54<56:57,  1.50s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.50s/it]
overall:  43%|████▎     | 1729/4000 [43:55<56:53,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  43%|████▎     | 1730/4000 [43:57<56:51,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.50s/it]
overall:  43%|████▎     | 1731/4000 [43:58<56:48,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  43%|████▎     | 1732/4000 [44:00<57:05,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  43%|████▎     | 1733/4000 [44:01<57:02,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  43%|████▎     | 1734/4000 [44:03<56:55,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  43%|████▎     | 1735/4000 [44:04<56:59,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  43%|████▎     | 1736/4000 [44:06<56:50,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  43%|████▎     | 1737/4000 [44:07<56:44,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  43%|████▎     | 1738/4000 [44:09<56:40,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  43%|████▎     | 1739/4000 [44:10<54:31,  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: 0.625810444355011
train acc: 0.8603239059448242
train loss: 0.6773432493209839
train acc: 0.8429999947547913
train loss: 0.6647585034370422
train acc: 0.8550000190734863


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  44%|████▎     | 1740/4000 [44:13<1:05:35,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  44%|████▎     | 1741/4000 [44:14<1:03:00,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  44%|████▎     | 1742/4000 [44:16<1:01:10,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  44%|████▎     | 1743/4000 [44:17<59:46,  1.59s/it]  

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  44%|████▎     | 1744/4000 [44:19<58:46,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  44%|████▎     | 1745/4000 [44:20<58:00,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  44%|████▎     | 1746/4000 [44:22<57:28,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  44%|████▎     | 1747/4000 [44:23<57:05,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  44%|████▎     | 1748/4000 [44:25<57:01,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  44%|████▎     | 1749/4000 [44:26<57:02,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  44%|████▍     | 1750/4000 [44:28<56:59,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  44%|████▍     | 1751/4000 [44:29<56:57,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  44%|████▍     | 1752/4000 [44:31<57:25,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  44%|████▍     | 1753/4000 [44:32<57:38,  1.54s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.54s/it]
overall:  44%|████▍     | 1754/4000 [44:34<57:18,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  44%|████▍     | 1755/4000 [44:35<56:53,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  44%|████▍     | 1756/4000 [44:37<56:36,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  44%|████▍     | 1757/4000 [44:38<56:23,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  44%|████▍     | 1758/4000 [44:40<56:15,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  44%|████▍     | 1759/4000 [44:41<56:11,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.50s/it]
overall:  44%|████▍     | 1760/4000 [44:43<56:08,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  44%|████▍     | 1761/4000 [44:44<56:02,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:  44%|████▍     | 1762/4000 [44:46<55:59,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  44%|████▍     | 1763/4000 [44:47<56:02,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  44%|████▍     | 1764/4000 [44:49<56:04,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  44%|████▍     | 1765/4000 [44:50<56:02,  1.50s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.50s/it]
overall:  44%|████▍     | 1766/4000 [44:52<56:00,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  44%|████▍     | 1767/4000 [44:53<55:54,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.50s/it]
overall:  44%|████▍     | 1768/4000 [44:55<55:49,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  44%|████▍     | 1769/4000 [44:56<55:59,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  44%|████▍     | 1770/4000 [44:58<55:57,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  44%|████▍     | 1771/4000 [44:59<56:02,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  44%|████▍     | 1772/4000 [45:01<56:03,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  44%|████▍     | 1773/4000 [45:02<56:00,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  44%|████▍     | 1774/4000 [45:04<55:54,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  44%|████▍     | 1775/4000 [45:05<55:57,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  44%|████▍     | 1776/4000 [45:07<53:51,  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: 0.6706956624984741
train acc: 0.8350202441215515
train loss: 0.6467465162277222
train acc: 0.8479999899864197
train loss: 0.6684088706970215
train acc: 0.8519999980926514
train loss: 0.6639133095741272
train acc: 0.8450000286102295


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  44%|████▍     | 1777/4000 [45:09<1:04:31,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  44%|████▍     | 1778/4000 [45:11<1:01:50,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  44%|████▍     | 1779/4000 [45:12<59:54,  1.62s/it]  

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  44%|████▍     | 1780/4000 [45:14<58:49,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  45%|████▍     | 1781/4000 [45:15<57:58,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  45%|████▍     | 1782/4000 [45:17<57:13,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  45%|████▍     | 1783/4000 [45:18<56:51,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  45%|████▍     | 1784/4000 [45:20<56:43,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  45%|████▍     | 1785/4000 [45:21<56:31,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  45%|████▍     | 1786/4000 [45:23<56:15,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  45%|████▍     | 1787/4000 [45:24<56:09,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  45%|████▍     | 1788/4000 [45:26<56:20,  1.53s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.53s/it]
overall:  45%|████▍     | 1789/4000 [45:27<56:13,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  45%|████▍     | 1790/4000 [45:29<55:53,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  45%|████▍     | 1791/4000 [45:30<55:42,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  45%|████▍     | 1792/4000 [45:32<55:30,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  45%|████▍     | 1793/4000 [45:33<55:22,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  45%|████▍     | 1794/4000 [45:35<55:19,  1.50s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.50s/it]
overall:  45%|████▍     | 1795/4000 [45:36<55:14,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  45%|████▍     | 1796/4000 [45:38<55:15,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.50s/it]
overall:  45%|████▍     | 1797/4000 [45:39<55:11,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  45%|████▍     | 1798/4000 [45:41<55:08,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:  45%|████▍     | 1799/4000 [45:42<55:07,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  45%|████▌     | 1800/4000 [45:44<55:06,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  45%|████▌     | 1801/4000 [45:45<55:14,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  45%|████▌     | 1802/4000 [45:47<55:10,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  45%|████▌     | 1803/4000 [45:48<55:02,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  45%|████▌     | 1804/4000 [45:50<54:57,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.50s/it]
overall:  45%|████▌     | 1805/4000 [45:51<55:02,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  45%|████▌     | 1806/4000 [45:53<55:02,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  45%|████▌     | 1807/4000 [45:54<55:04,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  45%|████▌     | 1808/4000 [45:56<55:04,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  45%|████▌     | 1809/4000 [45:57<54:57,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  45%|████▌     | 1810/4000 [45:59<54:54,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  45%|████▌     | 1811/4000 [46:00<54:51,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  45%|████▌     | 1812/4000 [46:02<54:57,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  45%|████▌     | 1813/4000 [46:03<52:59,  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: 0.6403528451919556
train acc: 0.8704453706741333
train loss: 0.6309719085693359
train acc: 0.8550000190734863
train loss: 0.662457287311554
train acc: 0.8539999723434448
train loss: 0.6624261736869812
train acc: 0.8339999914169312


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  45%|████▌     | 1814/4000 [46:05<1:02:02,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  45%|████▌     | 1815/4000 [46:07<59:52,  1.64s/it]  

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  45%|████▌     | 1816/4000 [46:08<58:15,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  45%|████▌     | 1817/4000 [46:10<57:06,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  45%|████▌     | 1818/4000 [46:11<56:21,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  45%|████▌     | 1819/4000 [46:13<55:52,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  46%|████▌     | 1820/4000 [46:14<55:35,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  46%|████▌     | 1821/4000 [46:16<55:24,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  46%|████▌     | 1822/4000 [46:18<55:05,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  46%|████▌     | 1823/4000 [46:19<54:54,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  46%|████▌     | 1824/4000 [46:21<54:54,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  46%|████▌     | 1825/4000 [46:22<54:52,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  46%|████▌     | 1826/4000 [46:24<55:00,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  46%|████▌     | 1827/4000 [46:25<54:59,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  46%|████▌     | 1828/4000 [46:27<54:44,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  46%|████▌     | 1829/4000 [46:28<54:36,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  46%|████▌     | 1830/4000 [46:30<54:42,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  46%|████▌     | 1831/4000 [46:31<54:43,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  46%|████▌     | 1832/4000 [46:33<54:44,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  46%|████▌     | 1833/4000 [46:34<54:45,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.52s/it]
overall:  46%|████▌     | 1834/4000 [46:36<54:46,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  46%|████▌     | 1835/4000 [46:37<54:46,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.52s/it]
overall:  46%|████▌     | 1836/4000 [46:39<54:34,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  46%|████▌     | 1837/4000 [46:40<54:30,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  46%|████▌     | 1838/4000 [46:42<54:28,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  46%|████▌     | 1839/4000 [46:43<54:19,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  46%|████▌     | 1840/4000 [46:45<54:11,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  46%|████▌     | 1841/4000 [46:46<54:31,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.52s/it]
overall:  46%|████▌     | 1842/4000 [46:48<54:28,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  46%|████▌     | 1843/4000 [46:49<54:24,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  46%|████▌     | 1844/4000 [46:51<54:23,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  46%|████▌     | 1845/4000 [46:52<54:24,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  46%|████▌     | 1846/4000 [46:54<54:14,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  46%|████▌     | 1847/4000 [46:55<54:05,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  46%|████▌     | 1848/4000 [46:57<53:58,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  46%|████▌     | 1849/4000 [46:58<53:54,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  46%|████▋     | 1850/4000 [47:00<51:59,  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: 0.6361948251724243
train acc: 0.8572874665260315
train loss: 0.6463655233383179
train acc: 0.847000002861023
train loss: 0.6634014844894409
train acc: 0.8569999933242798
train loss: 0.6425561904907227
train acc: 0.8593117594718933


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  46%|████▋     | 1851/4000 [47:02<1:02:43,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  46%|████▋     | 1852/4000 [47:04<1:00:09,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  46%|████▋     | 1853/4000 [47:05<58:24,  1.63s/it]  

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  46%|████▋     | 1854/4000 [47:07<57:06,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  46%|████▋     | 1855/4000 [47:08<56:08,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  46%|████▋     | 1856/4000 [47:10<55:31,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  46%|████▋     | 1857/4000 [47:11<54:57,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  46%|████▋     | 1858/4000 [47:13<54:42,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  46%|████▋     | 1859/4000 [47:14<54:33,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  46%|████▋     | 1860/4000 [47:16<54:17,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  47%|████▋     | 1861/4000 [47:17<54:03,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  47%|████▋     | 1862/4000 [47:19<53:56,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  47%|████▋     | 1863/4000 [47:20<54:16,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  47%|████▋     | 1864/4000 [47:22<54:04,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  47%|████▋     | 1865/4000 [47:23<53:54,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  47%|████▋     | 1866/4000 [47:25<53:41,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  47%|████▋     | 1867/4000 [47:26<53:35,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  47%|████▋     | 1868/4000 [47:28<53:28,  1.50s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.50s/it]
overall:  47%|████▋     | 1869/4000 [47:29<53:27,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  47%|████▋     | 1870/4000 [47:31<53:30,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  47%|████▋     | 1871/4000 [47:32<53:35,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  47%|████▋     | 1872/4000 [47:34<53:30,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  47%|████▋     | 1873/4000 [47:35<53:21,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  47%|████▋     | 1874/4000 [47:37<53:17,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  47%|████▋     | 1875/4000 [47:38<53:26,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  47%|████▋     | 1876/4000 [47:40<53:20,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  47%|████▋     | 1877/4000 [47:41<53:35,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  47%|████▋     | 1878/4000 [47:43<53:27,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  47%|████▋     | 1879/4000 [47:44<53:26,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  47%|████▋     | 1880/4000 [47:46<53:21,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  47%|████▋     | 1881/4000 [47:47<53:20,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  47%|████▋     | 1882/4000 [47:49<53:15,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  47%|████▋     | 1883/4000 [47:50<53:18,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  47%|████▋     | 1884/4000 [47:52<53:10,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  47%|████▋     | 1885/4000 [47:53<53:04,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  47%|████▋     | 1886/4000 [47:55<53:00,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  47%|████▋     | 1887/4000 [47:56<51:00,  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: 0.6628304719924927
train acc: 0.8619999885559082
train loss: 0.6009148359298706
train acc: 0.8679999709129333
train loss: 0.6535614132881165
train acc: 0.8399999737739563


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  47%|████▋     | 1888/4000 [47:59<1:01:16,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  47%|████▋     | 1889/4000 [48:00<58:43,  1.67s/it]  

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  47%|████▋     | 1890/4000 [48:02<57:04,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  47%|████▋     | 1891/4000 [48:03<55:45,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  47%|████▋     | 1892/4000 [48:05<54:54,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  47%|████▋     | 1893/4000 [48:06<54:19,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  47%|████▋     | 1894/4000 [48:08<53:51,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  47%|████▋     | 1895/4000 [48:09<53:33,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  47%|████▋     | 1896/4000 [48:11<53:16,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  47%|████▋     | 1897/4000 [48:12<53:03,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  47%|████▋     | 1898/4000 [48:14<52:58,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  47%|████▋     | 1899/4000 [48:15<52:55,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  48%|████▊     | 1900/4000 [48:17<55:06,  1.57s/it]

train:  35%|███▌      | 13/37 [00:20<00:37,  1.58s/it]
overall:  48%|████▊     | 1901/4000 [48:18<54:18,  1.55s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.55s/it]
overall:  48%|████▊     | 1902/4000 [48:20<53:44,  1.54s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.54s/it]
overall:  48%|████▊     | 1903/4000 [48:21<53:18,  1.53s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.53s/it]
overall:  48%|████▊     | 1904/4000 [48:23<53:01,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  48%|████▊     | 1905/4000 [48:24<52:47,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  48%|████▊     | 1906/4000 [48:26<52:37,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  48%|████▊     | 1907/4000 [48:27<52:30,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  48%|████▊     | 1908/4000 [48:29<52:25,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  48%|████▊     | 1909/4000 [48:30<52:22,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:  48%|████▊     | 1910/4000 [48:32<52:20,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  48%|████▊     | 1911/4000 [48:33<52:17,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  48%|████▊     | 1912/4000 [48:35<52:35,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  48%|████▊     | 1913/4000 [48:37<52:40,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  48%|████▊     | 1914/4000 [48:38<52:30,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  48%|████▊     | 1915/4000 [48:40<52:23,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  48%|████▊     | 1916/4000 [48:41<52:18,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  48%|████▊     | 1917/4000 [48:43<52:20,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  48%|████▊     | 1918/4000 [48:44<52:16,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  48%|████▊     | 1919/4000 [48:46<52:18,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  48%|████▊     | 1920/4000 [48:47<52:17,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  48%|████▊     | 1921/4000 [48:49<52:19,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  48%|████▊     | 1922/4000 [48:50<52:14,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  48%|████▊     | 1923/4000 [48:52<52:16,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  48%|████▊     | 1924/4000 [48:53<50:12,  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: 0.642940878868103
train acc: 0.8481781482696533
train loss: 0.6495070457458496
train acc: 0.8510000109672546
train loss: 0.6238209009170532
train acc: 0.8510000109672546
train loss: 0.6278222799301147
train acc: 0.8650000095367432


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  48%|████▊     | 1925/4000 [48:55<59:15,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  48%|████▊     | 1926/4000 [48:57<57:15,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  48%|████▊     | 1927/4000 [48:58<55:37,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  48%|████▊     | 1928/4000 [49:00<54:27,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  48%|████▊     | 1929/4000 [49:01<53:42,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  48%|████▊     | 1930/4000 [49:03<53:11,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  48%|████▊     | 1931/4000 [49:04<52:43,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  48%|████▊     | 1932/4000 [49:06<52:34,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  48%|████▊     | 1933/4000 [49:07<52:27,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  48%|████▊     | 1934/4000 [49:09<52:25,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  48%|████▊     | 1935/4000 [49:10<52:11,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  48%|████▊     | 1936/4000 [49:12<52:10,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  48%|████▊     | 1937/4000 [49:13<52:21,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  48%|████▊     | 1938/4000 [49:15<52:25,  1.53s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.53s/it]
overall:  48%|████▊     | 1939/4000 [49:16<52:07,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  48%|████▊     | 1940/4000 [49:18<52:01,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  49%|████▊     | 1941/4000 [49:19<51:55,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  49%|████▊     | 1942/4000 [49:21<51:54,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  49%|████▊     | 1943/4000 [49:22<51:56,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  49%|████▊     | 1944/4000 [49:24<51:56,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.52s/it]
overall:  49%|████▊     | 1945/4000 [49:26<51:55,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  49%|████▊     | 1946/4000 [49:27<51:57,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  49%|████▊     | 1947/4000 [49:29<51:56,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  49%|████▊     | 1948/4000 [49:30<51:47,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  49%|████▊     | 1949/4000 [49:32<51:58,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  49%|████▉     | 1950/4000 [49:33<51:59,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  49%|████▉     | 1951/4000 [49:35<51:51,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  49%|████▉     | 1952/4000 [49:36<51:36,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  49%|████▉     | 1953/4000 [49:38<51:30,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  49%|████▉     | 1954/4000 [49:39<51:23,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  49%|████▉     | 1955/4000 [49:41<51:19,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  49%|████▉     | 1956/4000 [49:42<51:13,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  49%|████▉     | 1957/4000 [49:44<51:08,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  49%|████▉     | 1958/4000 [49:45<51:06,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  49%|████▉     | 1959/4000 [49:47<51:09,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  49%|████▉     | 1960/4000 [49:48<51:10,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  49%|████▉     | 1961/4000 [49:49<49:11,  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: 0.5905795693397522
train acc: 0.8795546293258667
train loss: 0.6621177196502686
train acc: 0.8389999866485596
train loss: 0.6474446654319763
train acc: 0.8460000157356262
train loss: 0.6113843321800232
train acc: 0.8640000224113464


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  49%|████▉     | 1962/4000 [49:52<59:09,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  49%|████▉     | 1963/4000 [49:53<56:49,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  49%|████▉     | 1964/4000 [49:55<55:15,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  49%|████▉     | 1965/4000 [49:56<54:06,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  49%|████▉     | 1966/4000 [49:58<53:08,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  49%|████▉     | 1967/4000 [49:59<52:25,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  49%|████▉     | 1968/4000 [50:01<51:53,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  49%|████▉     | 1969/4000 [50:02<51:35,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  49%|████▉     | 1970/4000 [50:04<51:29,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  49%|████▉     | 1971/4000 [50:05<51:14,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  49%|████▉     | 1972/4000 [50:07<51:02,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  49%|████▉     | 1973/4000 [50:08<51:07,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  49%|████▉     | 1974/4000 [50:10<51:10,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  49%|████▉     | 1975/4000 [50:12<51:07,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  49%|████▉     | 1976/4000 [50:13<51:21,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  49%|████▉     | 1977/4000 [50:15<51:17,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  49%|████▉     | 1978/4000 [50:16<51:04,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  49%|████▉     | 1979/4000 [50:18<50:53,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  50%|████▉     | 1980/4000 [50:19<50:47,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  50%|████▉     | 1981/4000 [50:21<50:48,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  50%|████▉     | 1982/4000 [50:22<50:52,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  50%|████▉     | 1983/4000 [50:24<50:49,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  50%|████▉     | 1984/4000 [50:25<50:48,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  50%|████▉     | 1985/4000 [50:27<50:49,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  50%|████▉     | 1986/4000 [50:28<50:53,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  50%|████▉     | 1987/4000 [50:30<50:51,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  50%|████▉     | 1988/4000 [50:31<50:48,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  50%|████▉     | 1989/4000 [50:33<50:41,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  50%|████▉     | 1990/4000 [50:34<50:45,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  50%|████▉     | 1991/4000 [50:36<50:45,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  50%|████▉     | 1992/4000 [50:37<50:37,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  50%|████▉     | 1993/4000 [50:39<50:33,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  50%|████▉     | 1994/4000 [50:40<50:36,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  50%|████▉     | 1995/4000 [50:42<50:32,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  50%|████▉     | 1996/4000 [50:43<50:24,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  50%|████▉     | 1997/4000 [50:45<50:25,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  50%|████▉     | 1998/4000 [50:46<48:29,  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: 0.6073687076568604
train acc: 0.8724696636199951
train loss: 0.6214500665664673
train acc: 0.8650000095367432
train loss: 0.6253852844238281
train acc: 0.847000002861023


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  50%|████▉     | 1999/4000 [50:48<57:31,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.26s/it]train loss: 0.6491910219192505
train acc: 0.840080976486206



test:   0%|          | 0/15 [00:00<?, ?it/s]


test:   7%|▋         | 1/15 [00:02<00:30,  2.17s/it]


test:  13%|█▎        | 2/15 [00:03<00:22,  1.73s/it]


test:  20%|██        | 3/15 [00:04<00:18,  1.58s/it]


test:  27%|██▋       | 4/15 [00:06<00:16,  1.51s/it]


test:  33%|███▎      | 5/15 [00:07<00:14,  1.47s/it]


test:  40%|████      | 6/15 [00:09<00:13,  1.45s/it]


test:  47%|████▋     | 7/15 [00:10<00:11,  1.44s/it]


test:  53%|█████▎    | 8/15 [00:12<00:10,  1.43s/it]


test:  60%|██████    | 9/15 [00:13<00:08,  1.43s/it]


test:  67%|██████▋   | 10/15 [00:14<00:07,  1.43s/it]


test:  73%|███████▎  | 11/15 [00:16<00:05,  1.42s/it]


test:  80%|████████  | 12/15 [00:17<00:04,  1.42s/it]


test:  87%|████████▋ | 13/15 [00:19<00:02,  1.42s/it]


test:  93%|█████████▎| 14/15 [00:20<00:01,  1.42s/it]
test: 100%|██████████| 15/15 [00:20<00:00,  1.38s/it]

overall:  50%|█████     | 2000/4000 [51:11<4:23:16,  7.90s/it]

train:   5%|▌         | 2/37 [00:24<08:11, 14.05s/it]
overall:  50%|█████     | 2001/4000 [51:12<3:20:53,  6.03s/it]

train:   8%|▊         | 3/37 [00:26<04:45,  8.40s/it]
overall:  50%|█████     | 2002/4000 [51:14<2:35:43,  4.68s/it]

train:  11%|█         | 4/37 [00:27<03:07,  5.68s/it]
overall:  50%|█████     | 2003/4000 [51:15<2:03:58,  3.72s/it]

train:  14%|█▎        | 5/37 [00:29<02:13,  4.18s/it]
overall:  50%|█████     | 2004/4000 [51:17<1:41:41,  3.06s/it]

train:  16%|█▌        | 6/37 [00:30<01:41,  3.27s/it]
overall:  50%|█████     | 2005/4000 [51:18<1:26:06,  2.59s/it]

train:  19%|█▉        | 7/37 [00:32<01:20,  2.69s/it]
overall:  50%|█████     | 2006/4000 [51:20<1:15:22,  2.27s/it]

train:  22%|██▏       | 8/37 [00:33<01:07,  2.32s/it]
overall:  50%|█████     | 2007/4000 [51:21<1:07:43,  2.04s/it]

train:  24%|██▍       | 9/37 [00:35<00:57,  2.06s/it]
overall:  50%|█████     | 2008/4000 [51:23<1:02:17,  1.88s/it]

train:  27%|██▋       | 10/37 [00:36<00:50,  1.89s/it]
overall:  50%|█████     | 2009/4000 [51:24<58:29,  1.76s/it]  

train:  30%|██▉       | 11/37 [00:38<00:45,  1.77s/it]
overall:  50%|█████     | 2010/4000 [51:26<55:51,  1.68s/it]

train:  32%|███▏      | 12/37 [00:39<00:42,  1.69s/it]
overall:  50%|█████     | 2011/4000 [51:28<54:14,  1.64s/it]

train:  35%|███▌      | 13/37 [00:41<00:39,  1.64s/it]
overall:  50%|█████     | 2012/4000 [51:29<52:49,  1.59s/it]

train:  38%|███▊      | 14/37 [00:42<00:36,  1.60s/it]
overall:  50%|█████     | 2013/4000 [51:31<52:02,  1.57s/it]

train:  41%|████      | 15/37 [00:44<00:34,  1.57s/it]
overall:  50%|█████     | 2014/4000 [51:32<51:17,  1.55s/it]

train:  43%|████▎     | 16/37 [00:45<00:32,  1.55s/it]
overall:  50%|█████     | 2015/4000 [51:34<50:45,  1.53s/it]

train:  46%|████▌     | 17/37 [00:47<00:30,  1.53s/it]
overall:  50%|█████     | 2016/4000 [51:35<50:23,  1.52s/it]

train:  49%|████▊     | 18/37 [00:48<00:28,  1.52s/it]
overall:  50%|█████     | 2017/4000 [51:37<50:07,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:50<00:27,  1.52s/it]
overall:  50%|█████     | 2018/4000 [51:38<49:58,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:51<00:25,  1.51s/it]
overall:  50%|█████     | 2019/4000 [51:40<49:47,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:53<00:24,  1.51s/it]
overall:  50%|█████     | 2020/4000 [51:41<49:42,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:54<00:22,  1.51s/it]
overall:  51%|█████     | 2021/4000 [51:43<49:36,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:56<00:21,  1.50s/it]
overall:  51%|█████     | 2022/4000 [51:44<49:31,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:57<00:19,  1.50s/it]
overall:  51%|█████     | 2023/4000 [51:46<49:39,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:59<00:18,  1.51s/it]
overall:  51%|█████     | 2024/4000 [51:47<49:31,  1.50s/it]

train:  70%|███████   | 26/37 [01:00<00:16,  1.50s/it]
overall:  51%|█████     | 2025/4000 [51:49<49:35,  1.51s/it]

train:  73%|███████▎  | 27/37 [01:02<00:15,  1.51s/it]
overall:  51%|█████     | 2026/4000 [51:50<49:32,  1.51s/it]

train:  76%|███████▌  | 28/37 [01:03<00:13,  1.51s/it]
overall:  51%|█████     | 2027/4000 [51:52<49:28,  1.50s/it]

train:  78%|███████▊  | 29/37 [01:05<00:12,  1.50s/it]
overall:  51%|█████     | 2028/4000 [51:53<49:26,  1.50s/it]

train:  81%|████████  | 30/37 [01:06<00:10,  1.50s/it]
overall:  51%|█████     | 2029/4000 [51:55<49:21,  1.50s/it]

train:  84%|████████▍ | 31/37 [01:08<00:09,  1.50s/it]
overall:  51%|█████     | 2030/4000 [51:56<49:20,  1.50s/it]

train:  86%|████████▋ | 32/37 [01:09<00:07,  1.50s/it]
overall:  51%|█████     | 2031/4000 [51:58<49:15,  1.50s/it]

train:  89%|████████▉ | 33/37 [01:11<00:06,  1.50s/it]
overall:  51%|█████     | 2032/4000 [51:59<49:12,  1.50s/it]

train:  92%|█████████▏| 34/37 [01:12<00:04,  1.50s/it]
overall:  51%|█████     | 2033/4000 [52:01<49:11,  1.50s/it]

train:  95%|█████████▍| 35/37 [01:14<00:03,  1.50s/it]
overall:  51%|█████     | 2034/4000 [52:02<49:08,  1.50s/it]

train:  97%|█████████▋| 36/37 [01:15<00:01,  1.50s/it]
overall:  51%|█████     | 2035/4000 [52:03<47:16,  1.44s/it]

train: 100%|██████████| 37/37 [01:17<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [01:17<00:00,  2.09s/it]
test loss: 1.0784175395965576
test acc: 0.7195729613304138
train loss: 0.6314454078674316
train acc: 0.8479999899864197
train loss: 0.6189448833465576
train acc: 0.8629999756813049
train loss: 0.5943657159805298
train acc: 0.878000020980835


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  51%|█████     | 2036/4000 [52:06<55:56,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  51%|█████     | 2037/4000 [52:07<54:02,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  51%|█████     | 2038/4000 [52:09<52:39,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  51%|█████     | 2039/4000 [52:10<51:36,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  51%|█████     | 2040/4000 [52:12<50:58,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  51%|█████     | 2041/4000 [52:13<50:31,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  51%|█████     | 2042/4000 [52:15<50:03,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  51%|█████     | 2043/4000 [52:16<49:52,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  51%|█████     | 2044/4000 [52:18<49:43,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  51%|█████     | 2045/4000 [52:19<49:51,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  51%|█████     | 2046/4000 [52:21<49:36,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  51%|█████     | 2047/4000 [52:22<49:25,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  51%|█████     | 2048/4000 [52:24<49:29,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  51%|█████     | 2049/4000 [52:25<49:15,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  51%|█████▏    | 2050/4000 [52:27<49:03,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  51%|█████▏    | 2051/4000 [52:28<48:57,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  51%|█████▏    | 2052/4000 [52:30<48:51,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:  51%|█████▏    | 2053/4000 [52:31<48:47,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  51%|█████▏    | 2054/4000 [52:33<48:43,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  51%|█████▏    | 2055/4000 [52:34<48:41,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  51%|█████▏    | 2056/4000 [52:36<48:36,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  51%|█████▏    | 2057/4000 [52:37<48:35,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  51%|█████▏    | 2058/4000 [52:39<48:31,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.50s/it]
overall:  51%|█████▏    | 2059/4000 [52:40<48:30,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  52%|█████▏    | 2060/4000 [52:42<48:43,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  52%|█████▏    | 2061/4000 [52:43<48:58,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:  52%|█████▏    | 2062/4000 [52:45<48:48,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  52%|█████▏    | 2063/4000 [52:46<48:39,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  52%|█████▏    | 2064/4000 [52:48<48:42,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  52%|█████▏    | 2065/4000 [52:49<48:41,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  52%|█████▏    | 2066/4000 [52:51<48:43,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  52%|█████▏    | 2067/4000 [52:52<48:42,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  52%|█████▏    | 2068/4000 [52:54<48:36,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  52%|█████▏    | 2069/4000 [52:56<48:39,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  52%|█████▏    | 2070/4000 [52:57<48:32,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  52%|█████▏    | 2071/4000 [52:59<48:37,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  52%|█████▏    | 2072/4000 [53:00<46:44,  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: 0.5951842665672302
train acc: 0.8755060434341431
train loss: 0.6079216599464417
train acc: 0.8569999933242798
train loss: 0.6103883981704712
train acc: 0.8529999852180481
train loss: 0.6297353506088257
train acc: 0.8619999885559082


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  52%|█████▏    | 2073/4000 [53:02<55:46,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  52%|█████▏    | 2074/4000 [53:04<53:39,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  52%|█████▏    | 2075/4000 [53:05<51:59,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  52%|█████▏    | 2076/4000 [53:07<50:47,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  52%|█████▏    | 2077/4000 [53:08<49:58,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  52%|█████▏    | 2078/4000 [53:10<49:21,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  52%|█████▏    | 2079/4000 [53:11<48:58,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  52%|█████▏    | 2080/4000 [53:13<48:38,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  52%|█████▏    | 2081/4000 [53:14<48:33,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  52%|█████▏    | 2082/4000 [53:16<48:32,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  52%|█████▏    | 2083/4000 [53:17<48:29,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  52%|█████▏    | 2084/4000 [53:19<48:33,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  52%|█████▏    | 2085/4000 [53:20<48:55,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  52%|█████▏    | 2086/4000 [53:22<48:45,  1.53s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.53s/it]
overall:  52%|█████▏    | 2087/4000 [53:23<48:38,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  52%|█████▏    | 2088/4000 [53:25<48:23,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  52%|█████▏    | 2089/4000 [53:26<48:13,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  52%|█████▏    | 2090/4000 [53:28<48:11,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  52%|█████▏    | 2091/4000 [53:29<48:03,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  52%|█████▏    | 2092/4000 [53:31<48:05,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  52%|█████▏    | 2093/4000 [53:33<48:05,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  52%|█████▏    | 2094/4000 [53:34<47:59,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  52%|█████▏    | 2095/4000 [53:36<48:03,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  52%|█████▏    | 2096/4000 [53:37<48:02,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  52%|█████▏    | 2097/4000 [53:39<48:29,  1.53s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.53s/it]
overall:  52%|█████▏    | 2098/4000 [53:40<48:23,  1.53s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.53s/it]
overall:  52%|█████▏    | 2099/4000 [53:42<48:03,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  52%|█████▎    | 2100/4000 [53:43<47:56,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  53%|█████▎    | 2101/4000 [53:45<47:45,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  53%|█████▎    | 2102/4000 [53:46<47:37,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  53%|█████▎    | 2103/4000 [53:48<47:33,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  53%|█████▎    | 2104/4000 [53:49<47:26,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  53%|█████▎    | 2105/4000 [53:51<47:24,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  53%|█████▎    | 2106/4000 [53:52<47:22,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  53%|█████▎    | 2107/4000 [53:54<47:19,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  53%|█████▎    | 2108/4000 [53:55<47:20,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  53%|█████▎    | 2109/4000 [53:56<45:40,  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: 0.5871533155441284
train acc: 0.8724696636199951
train loss: 0.6148009896278381
train acc: 0.8569999933242798
train loss: 0.6047170162200928
train acc: 0.8510000109672546


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  53%|█████▎    | 2110/4000 [53:59<55:04,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  53%|█████▎    | 2111/4000 [54:00<52:45,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  53%|█████▎    | 2112/4000 [54:02<51:11,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  53%|█████▎    | 2113/4000 [54:03<50:05,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  53%|█████▎    | 2114/4000 [54:05<49:15,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  53%|█████▎    | 2115/4000 [54:06<48:46,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  53%|█████▎    | 2116/4000 [54:08<48:27,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  53%|█████▎    | 2117/4000 [54:09<48:10,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  53%|█████▎    | 2118/4000 [54:11<48:12,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  53%|█████▎    | 2119/4000 [54:13<47:49,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  53%|█████▎    | 2120/4000 [54:14<47:43,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  53%|█████▎    | 2121/4000 [54:16<47:30,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  53%|█████▎    | 2122/4000 [54:17<47:32,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  53%|█████▎    | 2123/4000 [54:19<47:19,  1.51s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.51s/it]
overall:  53%|█████▎    | 2124/4000 [54:20<47:10,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  53%|█████▎    | 2125/4000 [54:22<47:05,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  53%|█████▎    | 2126/4000 [54:23<47:06,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  53%|█████▎    | 2127/4000 [54:25<47:03,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  53%|█████▎    | 2128/4000 [54:26<47:00,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  53%|█████▎    | 2129/4000 [54:28<46:59,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  53%|█████▎    | 2130/4000 [54:29<47:04,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  53%|█████▎    | 2131/4000 [54:31<47:00,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  53%|█████▎    | 2132/4000 [54:32<46:55,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  53%|█████▎    | 2133/4000 [54:34<47:07,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  53%|█████▎    | 2134/4000 [54:35<47:20,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  53%|█████▎    | 2135/4000 [54:37<47:09,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  53%|█████▎    | 2136/4000 [54:38<46:58,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  53%|█████▎    | 2137/4000 [54:40<46:59,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  53%|█████▎    | 2138/4000 [54:41<46:56,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  53%|█████▎    | 2139/4000 [54:43<46:50,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  54%|█████▎    | 2140/4000 [54:44<46:47,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  54%|█████▎    | 2141/4000 [54:46<46:41,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  54%|█████▎    | 2142/4000 [54:47<46:44,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  54%|█████▎    | 2143/4000 [54:49<46:35,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  54%|█████▎    | 2144/4000 [54:50<46:30,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  54%|█████▎    | 2145/4000 [54:52<46:27,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  54%|█████▎    | 2146/4000 [54:53<44:42,  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: 0.6316512823104858
train acc: 0.8582996129989624
train loss: 0.5830105543136597
train acc: 0.8629999756813049
train loss: 0.6153677105903625
train acc: 0.8600000143051147
train loss: 0.5937508344650269
train acc: 0.871999979019165


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  54%|█████▎    | 2147/4000 [54:55<52:57,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  54%|█████▎    | 2148/4000 [54:57<50:57,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  54%|█████▎    | 2149/4000 [54:58<49:33,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  54%|█████▍    | 2150/4000 [55:00<48:32,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  54%|█████▍    | 2151/4000 [55:01<47:58,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  54%|█████▍    | 2152/4000 [55:03<47:27,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  54%|█████▍    | 2153/4000 [55:04<47:03,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  54%|█████▍    | 2154/4000 [55:06<46:53,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  54%|█████▍    | 2155/4000 [55:07<46:49,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  54%|█████▍    | 2156/4000 [55:09<46:44,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  54%|█████▍    | 2157/4000 [55:11<46:44,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  54%|█████▍    | 2158/4000 [55:12<46:30,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  54%|█████▍    | 2159/4000 [55:14<46:32,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  54%|█████▍    | 2160/4000 [55:15<46:22,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  54%|█████▍    | 2161/4000 [55:17<46:24,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  54%|█████▍    | 2162/4000 [55:18<46:14,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  54%|█████▍    | 2163/4000 [55:20<46:12,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  54%|█████▍    | 2164/4000 [55:21<46:13,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  54%|█████▍    | 2165/4000 [55:23<46:13,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  54%|█████▍    | 2166/4000 [55:24<46:04,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  54%|█████▍    | 2167/4000 [55:26<45:57,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  54%|█████▍    | 2168/4000 [55:27<45:51,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  54%|█████▍    | 2169/4000 [55:29<45:53,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  54%|█████▍    | 2170/4000 [55:30<45:59,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  54%|█████▍    | 2171/4000 [55:32<46:14,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  54%|█████▍    | 2172/4000 [55:33<46:15,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:  54%|█████▍    | 2173/4000 [55:35<46:04,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  54%|█████▍    | 2174/4000 [55:36<45:55,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  54%|█████▍    | 2175/4000 [55:38<45:49,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  54%|█████▍    | 2176/4000 [55:39<45:42,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  54%|█████▍    | 2177/4000 [55:41<45:39,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  54%|█████▍    | 2178/4000 [55:42<45:36,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  54%|█████▍    | 2179/4000 [55:44<45:42,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  55%|█████▍    | 2180/4000 [55:45<45:39,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:  55%|█████▍    | 2181/4000 [55:47<45:34,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  55%|█████▍    | 2182/4000 [55:48<45:31,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  55%|█████▍    | 2183/4000 [55:50<43:48,  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: 0.6230916380882263
train acc: 0.8491902947425842
train loss: 0.6120253205299377
train acc: 0.8569999933242798
train loss: 0.6155994534492493
train acc: 0.8510000109672546
train loss: 0.5693637132644653
train acc: 0.871999979019165


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  55%|█████▍    | 2184/4000 [55:52<52:26,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  55%|█████▍    | 2185/4000 [55:53<50:28,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  55%|█████▍    | 2186/4000 [55:55<49:06,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  55%|█████▍    | 2187/4000 [55:56<48:04,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  55%|█████▍    | 2188/4000 [55:58<47:16,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  55%|█████▍    | 2189/4000 [55:59<46:48,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  55%|█████▍    | 2190/4000 [56:01<46:27,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  55%|█████▍    | 2191/4000 [56:03<46:17,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  55%|█████▍    | 2192/4000 [56:04<46:03,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  55%|█████▍    | 2193/4000 [56:06<45:50,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  55%|█████▍    | 2194/4000 [56:07<45:35,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  55%|█████▍    | 2195/4000 [56:09<45:26,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  55%|█████▍    | 2196/4000 [56:10<45:34,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  55%|█████▍    | 2197/4000 [56:12<45:22,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  55%|█████▍    | 2198/4000 [56:13<45:25,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  55%|█████▍    | 2199/4000 [56:15<45:14,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  55%|█████▌    | 2200/4000 [56:16<45:11,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  55%|█████▌    | 2201/4000 [56:18<45:04,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  55%|█████▌    | 2202/4000 [56:19<45:03,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  55%|█████▌    | 2203/4000 [56:21<45:09,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  55%|█████▌    | 2204/4000 [56:22<45:02,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  55%|█████▌    | 2205/4000 [56:24<45:06,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  55%|█████▌    | 2206/4000 [56:25<45:03,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  55%|█████▌    | 2207/4000 [56:27<44:58,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  55%|█████▌    | 2208/4000 [56:28<45:01,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  55%|█████▌    | 2209/4000 [56:30<44:58,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  55%|█████▌    | 2210/4000 [56:31<45:15,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  55%|█████▌    | 2211/4000 [56:33<45:13,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  55%|█████▌    | 2212/4000 [56:34<45:02,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  55%|█████▌    | 2213/4000 [56:36<45:03,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  55%|█████▌    | 2214/4000 [56:37<44:59,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  55%|█████▌    | 2215/4000 [56:39<45:02,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  55%|█████▌    | 2216/4000 [56:40<44:52,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  55%|█████▌    | 2217/4000 [56:42<44:46,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  55%|█████▌    | 2218/4000 [56:43<44:46,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  55%|█████▌    | 2219/4000 [56:45<44:42,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  56%|█████▌    | 2220/4000 [56:46<43:00,  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: 0.6257649064064026
train acc: 0.8613360524177551
train loss: 0.5863666534423828
train acc: 0.8579999804496765
train loss: 0.5688121914863586
train acc: 0.8709999918937683
train loss: 0.5935652852058411
train acc: 0.8674089312553406


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  56%|█████▌    | 2221/4000 [56:48<50:47,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  56%|█████▌    | 2222/4000 [56:50<48:50,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  56%|█████▌    | 2223/4000 [56:51<47:29,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  56%|█████▌    | 2224/4000 [56:53<46:31,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  56%|█████▌    | 2225/4000 [56:54<45:51,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  56%|█████▌    | 2226/4000 [56:56<45:22,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  56%|█████▌    | 2227/4000 [56:57<45:08,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  56%|█████▌    | 2228/4000 [56:59<44:55,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  56%|█████▌    | 2229/4000 [57:00<44:51,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  56%|█████▌    | 2230/4000 [57:02<44:36,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  56%|█████▌    | 2231/4000 [57:03<44:27,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  56%|█████▌    | 2232/4000 [57:05<44:29,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  56%|█████▌    | 2233/4000 [57:06<44:34,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  56%|█████▌    | 2234/4000 [57:08<44:33,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  56%|█████▌    | 2235/4000 [57:09<44:35,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  56%|█████▌    | 2236/4000 [57:11<44:25,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  56%|█████▌    | 2237/4000 [57:12<44:16,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  56%|█████▌    | 2238/4000 [57:14<44:21,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  56%|█████▌    | 2239/4000 [57:16<44:25,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  56%|█████▌    | 2240/4000 [57:17<44:16,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  56%|█████▌    | 2241/4000 [57:19<44:23,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  56%|█████▌    | 2242/4000 [57:20<44:13,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  56%|█████▌    | 2243/4000 [57:22<44:04,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  56%|█████▌    | 2244/4000 [57:23<44:01,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  56%|█████▌    | 2245/4000 [57:25<45:20,  1.55s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.55s/it]
overall:  56%|█████▌    | 2246/4000 [57:26<44:53,  1.54s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.54s/it]
overall:  56%|█████▌    | 2247/4000 [57:28<44:32,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  56%|█████▌    | 2248/4000 [57:29<44:19,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  56%|█████▌    | 2249/4000 [57:31<44:15,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  56%|█████▋    | 2250/4000 [57:32<44:18,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  56%|█████▋    | 2251/4000 [57:34<44:16,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  56%|█████▋    | 2252/4000 [57:35<44:13,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  56%|█████▋    | 2253/4000 [57:37<44:13,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  56%|█████▋    | 2254/4000 [57:38<44:00,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  56%|█████▋    | 2255/4000 [57:40<43:54,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  56%|█████▋    | 2256/4000 [57:41<43:48,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  56%|█████▋    | 2257/4000 [57:43<42:09,  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: 0.6138936281204224
train acc: 0.8500000238418579
train loss: 0.5730766654014587
train acc: 0.8700000047683716
train loss: 0.5871794819831848
train acc: 0.8650000095367432


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  56%|█████▋    | 2258/4000 [57:45<50:53,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  56%|█████▋    | 2259/4000 [57:47<48:39,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  56%|█████▋    | 2260/4000 [57:48<47:14,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  57%|█████▋    | 2261/4000 [57:50<46:16,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  57%|█████▋    | 2262/4000 [57:51<45:24,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  57%|█████▋    | 2263/4000 [57:53<44:55,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  57%|█████▋    | 2264/4000 [57:54<44:29,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  57%|█████▋    | 2265/4000 [57:56<44:15,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  57%|█████▋    | 2266/4000 [57:57<44:01,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  57%|█████▋    | 2267/4000 [57:59<43:54,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  57%|█████▋    | 2268/4000 [58:00<43:44,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  57%|█████▋    | 2269/4000 [58:02<43:43,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  57%|█████▋    | 2270/4000 [58:03<43:45,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  57%|█████▋    | 2271/4000 [58:05<43:35,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  57%|█████▋    | 2272/4000 [58:06<43:28,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  57%|█████▋    | 2273/4000 [58:08<43:39,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  57%|█████▋    | 2274/4000 [58:09<43:29,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  57%|█████▋    | 2275/4000 [58:11<43:22,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  57%|█████▋    | 2276/4000 [58:12<43:15,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  57%|█████▋    | 2277/4000 [58:14<43:11,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.50s/it]
overall:  57%|█████▋    | 2278/4000 [58:15<43:08,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  57%|█████▋    | 2279/4000 [58:17<43:05,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:  57%|█████▋    | 2280/4000 [58:18<43:02,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  57%|█████▋    | 2281/4000 [58:20<42:59,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  57%|█████▋    | 2282/4000 [58:21<42:57,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  57%|█████▋    | 2283/4000 [58:23<42:52,  1.50s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.50s/it]
overall:  57%|█████▋    | 2284/4000 [58:24<42:50,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:14,  1.50s/it]
overall:  57%|█████▋    | 2285/4000 [58:26<42:54,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.50s/it]
overall:  57%|█████▋    | 2286/4000 [58:27<42:49,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:11,  1.50s/it]
overall:  57%|█████▋    | 2287/4000 [58:29<42:48,  1.50s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.50s/it]
overall:  57%|█████▋    | 2288/4000 [58:30<42:56,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  57%|█████▋    | 2289/4000 [58:32<43:04,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  57%|█████▋    | 2290/4000 [58:33<43:07,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  57%|█████▋    | 2291/4000 [58:35<43:07,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  57%|█████▋    | 2292/4000 [58:36<43:02,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  57%|█████▋    | 2293/4000 [58:38<43:01,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  57%|█████▋    | 2294/4000 [58:39<41:24,  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: 0.5838074088096619
train acc: 0.8643724918365479
train loss: 0.5948090553283691
train acc: 0.859000027179718
train loss: 0.6081763505935669
train acc: 0.8730000257492065
train loss: 0.5566257238388062
train acc: 0.8830000162124634


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  57%|█████▋    | 2295/4000 [58:41<48:37,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  57%|█████▋    | 2296/4000 [58:43<47:00,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  57%|█████▋    | 2297/4000 [58:44<45:42,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  57%|█████▋    | 2298/4000 [58:46<44:50,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  57%|█████▋    | 2299/4000 [58:48<44:11,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  57%|█████▊    | 2300/4000 [58:49<43:49,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  58%|█████▊    | 2301/4000 [58:51<43:29,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  58%|█████▊    | 2302/4000 [58:52<43:14,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  58%|█████▊    | 2303/4000 [58:54<43:01,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  58%|█████▊    | 2304/4000 [58:55<42:53,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  58%|█████▊    | 2305/4000 [58:57<42:45,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  58%|█████▊    | 2306/4000 [58:58<42:37,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  58%|█████▊    | 2307/4000 [59:00<42:40,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  58%|█████▊    | 2308/4000 [59:01<42:38,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  58%|█████▊    | 2309/4000 [59:03<42:42,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  58%|█████▊    | 2310/4000 [59:04<42:37,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  58%|█████▊    | 2311/4000 [59:06<42:32,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  58%|█████▊    | 2312/4000 [59:07<42:47,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  58%|█████▊    | 2313/4000 [59:09<42:37,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  58%|█████▊    | 2314/4000 [59:10<42:30,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  58%|█████▊    | 2315/4000 [59:12<42:25,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  58%|█████▊    | 2316/4000 [59:13<42:21,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  58%|█████▊    | 2317/4000 [59:15<42:13,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  58%|█████▊    | 2318/4000 [59:16<42:09,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  58%|█████▊    | 2319/4000 [59:18<42:07,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  58%|█████▊    | 2320/4000 [59:19<42:04,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  58%|█████▊    | 2321/4000 [59:21<42:00,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  58%|█████▊    | 2322/4000 [59:22<41:58,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  58%|█████▊    | 2323/4000 [59:24<41:55,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  58%|█████▊    | 2324/4000 [59:25<42:02,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:  58%|█████▊    | 2325/4000 [59:27<42:00,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  58%|█████▊    | 2326/4000 [59:28<41:55,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  58%|█████▊    | 2327/4000 [59:30<41:50,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  58%|█████▊    | 2328/4000 [59:31<41:55,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  58%|█████▊    | 2329/4000 [59:33<41:52,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  58%|█████▊    | 2330/4000 [59:34<41:52,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  58%|█████▊    | 2331/4000 [59:36<40:19,  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: 0.5900753736495972
train acc: 0.8603239059448242
train loss: 0.5933926105499268
train acc: 0.8619999885559082
train loss: 0.5351909399032593
train acc: 0.8849999904632568
train loss: 0.6126829385757446
train acc: 0.847000002861023


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  58%|█████▊    | 2332/4000 [59:38<47:52,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.26s/it]
overall:  58%|█████▊    | 2333/4000 [59:39<46:08,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  58%|█████▊    | 2334/4000 [59:41<44:48,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  58%|█████▊    | 2335/4000 [59:42<43:49,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  58%|█████▊    | 2336/4000 [59:44<43:09,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  58%|█████▊    | 2337/4000 [59:45<42:42,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  58%|█████▊    | 2338/4000 [59:47<42:23,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  58%|█████▊    | 2339/4000 [59:48<42:07,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  58%|█████▊    | 2340/4000 [59:50<42:06,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  59%|█████▊    | 2341/4000 [59:51<41:55,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  59%|█████▊    | 2342/4000 [59:53<41:47,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  59%|█████▊    | 2343/4000 [59:54<41:44,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  59%|█████▊    | 2344/4000 [59:56<41:45,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  59%|█████▊    | 2345/4000 [59:58<41:39,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  59%|█████▊    | 2346/4000 [59:59<41:37,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  59%|█████▊    | 2347/4000 [1:00:01<41:34,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  59%|█████▊    | 2348/4000 [1:00:02<41:27,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  59%|█████▊    | 2349/4000 [1:00:04<41:32,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  59%|█████▉    | 2350/4000 [1:00:05<41:28,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  59%|█████▉    | 2351/4000 [1:00:07<41:20,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  59%|█████▉    | 2352/4000 [1:00:08<41:17,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  59%|█████▉    | 2353/4000 [1:00:10<41:12,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  59%|█████▉    | 2354/4000 [1:00:11<41:10,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  59%|█████▉    | 2355/4000 [1:00:13<41:10,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  59%|█████▉    | 2356/4000 [1:00:14<41:14,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  59%|█████▉    | 2357/4000 [1:00:16<41:11,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  59%|█████▉    | 2358/4000 [1:00:17<41:06,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  59%|█████▉    | 2359/4000 [1:00:19<41:05,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  59%|█████▉    | 2360/4000 [1:00:20<41:02,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  59%|█████▉    | 2361/4000 [1:00:22<40:59,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  59%|█████▉    | 2362/4000 [1:00:23<40:58,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  59%|█████▉    | 2363/4000 [1:00:25<40:58,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  59%|█████▉    | 2364/4000 [1:00:26<41:04,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  59%|█████▉    | 2365/4000 [1:00:28<41:01,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:  59%|█████▉    | 2366/4000 [1:00:29<41:04,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  59%|█████▉    | 2367/4000 [1:00:31<41:03,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.51s/it]
overall:  59%|█████▉    | 2368/4000 [1:00:32<39:27,  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: 0.5640310049057007
train acc: 0.873481810092926
train loss: 0.5659350156784058
train acc: 0.8799999952316284
train loss: 0.6043367385864258
train acc: 0.8550000190734863


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  59%|█████▉    | 2369/4000 [1:00:34<46:29,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  59%|█████▉    | 2370/4000 [1:00:36<44:51,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  59%|█████▉    | 2371/4000 [1:00:37<43:37,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  59%|█████▉    | 2372/4000 [1:00:39<42:45,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  59%|█████▉    | 2373/4000 [1:00:40<42:13,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  59%|█████▉    | 2374/4000 [1:00:42<41:45,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  59%|█████▉    | 2375/4000 [1:00:43<41:23,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  59%|█████▉    | 2376/4000 [1:00:45<41:07,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  59%|█████▉    | 2377/4000 [1:00:46<40:56,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.51s/it]
overall:  59%|█████▉    | 2378/4000 [1:00:48<40:48,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  59%|█████▉    | 2379/4000 [1:00:49<40:42,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  60%|█████▉    | 2380/4000 [1:00:51<40:37,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  60%|█████▉    | 2381/4000 [1:00:52<40:33,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.50s/it]
overall:  60%|█████▉    | 2382/4000 [1:00:54<40:31,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  60%|█████▉    | 2383/4000 [1:00:55<40:36,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  60%|█████▉    | 2384/4000 [1:00:57<40:31,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  60%|█████▉    | 2385/4000 [1:00:58<40:35,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  60%|█████▉    | 2386/4000 [1:01:00<40:41,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  60%|█████▉    | 2387/4000 [1:01:01<40:33,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  60%|█████▉    | 2388/4000 [1:01:03<40:34,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  60%|█████▉    | 2389/4000 [1:01:04<40:30,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  60%|█████▉    | 2390/4000 [1:01:06<40:24,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  60%|█████▉    | 2391/4000 [1:01:07<40:19,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  60%|█████▉    | 2392/4000 [1:01:09<40:15,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  60%|█████▉    | 2393/4000 [1:01:10<40:13,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  60%|█████▉    | 2394/4000 [1:01:12<40:17,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  60%|█████▉    | 2395/4000 [1:01:13<40:25,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  60%|█████▉    | 2396/4000 [1:01:15<40:21,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  60%|█████▉    | 2397/4000 [1:01:16<40:23,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  60%|█████▉    | 2398/4000 [1:01:18<40:22,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:  60%|█████▉    | 2399/4000 [1:01:19<40:16,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  60%|██████    | 2400/4000 [1:01:21<40:10,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  60%|██████    | 2401/4000 [1:01:22<40:04,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  60%|██████    | 2402/4000 [1:01:24<39:59,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  60%|██████    | 2403/4000 [1:01:25<39:57,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  60%|██████    | 2404/4000 [1:01:27<39:55,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  60%|██████    | 2405/4000 [1:01:28<38:26,  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: 0.5838745832443237
train acc: 0.8724696636199951
train loss: 0.5674613118171692
train acc: 0.8809999823570251
train loss: 0.5765631794929504
train acc: 0.8650000095367432
train loss: 0.5826305150985718
train acc: 0.8619999885559082


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  60%|██████    | 2406/4000 [1:01:31<46:32,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.36s/it]
overall:  60%|██████    | 2407/4000 [1:01:32<44:36,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.86s/it]
overall:  60%|██████    | 2408/4000 [1:01:34<43:08,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  60%|██████    | 2409/4000 [1:01:35<42:06,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  60%|██████    | 2410/4000 [1:01:37<41:23,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  60%|██████    | 2411/4000 [1:01:38<40:51,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  60%|██████    | 2412/4000 [1:01:40<40:28,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  60%|██████    | 2413/4000 [1:01:41<40:13,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  60%|██████    | 2414/4000 [1:01:43<40:03,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  60%|██████    | 2415/4000 [1:01:44<39:53,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  60%|██████    | 2416/4000 [1:01:46<39:48,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  60%|██████    | 2417/4000 [1:01:47<39:42,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  60%|██████    | 2418/4000 [1:01:49<39:46,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  60%|██████    | 2419/4000 [1:01:50<39:43,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  60%|██████    | 2420/4000 [1:01:52<39:37,  1.50s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.50s/it]
overall:  61%|██████    | 2421/4000 [1:01:53<39:32,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  61%|██████    | 2422/4000 [1:01:55<39:30,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:  61%|██████    | 2423/4000 [1:01:56<39:27,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  61%|██████    | 2424/4000 [1:01:58<39:25,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  61%|██████    | 2425/4000 [1:01:59<39:23,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  61%|██████    | 2426/4000 [1:02:01<39:21,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  61%|██████    | 2427/4000 [1:02:02<39:17,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  61%|██████    | 2428/4000 [1:02:04<39:16,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.50s/it]
overall:  61%|██████    | 2429/4000 [1:02:05<39:15,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  61%|██████    | 2430/4000 [1:02:07<39:16,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  61%|██████    | 2431/4000 [1:02:08<39:16,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  61%|██████    | 2432/4000 [1:02:10<39:10,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:14,  1.50s/it]
overall:  61%|██████    | 2433/4000 [1:02:11<39:09,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  61%|██████    | 2434/4000 [1:02:13<39:06,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:11,  1.50s/it]
overall:  61%|██████    | 2435/4000 [1:02:14<39:05,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  61%|██████    | 2436/4000 [1:02:16<39:03,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.50s/it]
overall:  61%|██████    | 2437/4000 [1:02:17<39:03,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  61%|██████    | 2438/4000 [1:02:19<39:03,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  61%|██████    | 2439/4000 [1:02:20<39:00,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  61%|██████    | 2440/4000 [1:02:22<39:00,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  61%|██████    | 2441/4000 [1:02:23<38:58,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  61%|██████    | 2442/4000 [1:02:25<37:34,  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: 0.579613983631134
train acc: 0.8674089312553406
train loss: 0.5458011627197266
train acc: 0.8669999837875366
train loss: 0.5583973526954651
train acc: 0.8799999952316284
train loss: 0.5755383372306824
train acc: 0.875


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  61%|██████    | 2443/4000 [1:02:27<44:08,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  61%|██████    | 2444/4000 [1:02:28<42:33,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  61%|██████    | 2445/4000 [1:02:30<41:25,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  61%|██████    | 2446/4000 [1:02:31<40:45,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  61%|██████    | 2447/4000 [1:02:33<40:29,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  61%|██████    | 2448/4000 [1:02:34<39:58,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  61%|██████    | 2449/4000 [1:02:36<39:35,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  61%|██████▏   | 2450/4000 [1:02:37<39:18,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  61%|██████▏   | 2451/4000 [1:02:39<39:06,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  61%|██████▏   | 2452/4000 [1:02:40<38:56,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  61%|██████▏   | 2453/4000 [1:02:42<38:50,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  61%|██████▏   | 2454/4000 [1:02:43<38:47,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  61%|██████▏   | 2455/4000 [1:02:45<38:49,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  61%|██████▏   | 2456/4000 [1:02:46<38:47,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  61%|██████▏   | 2457/4000 [1:02:48<38:41,  1.50s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.50s/it]
overall:  61%|██████▏   | 2458/4000 [1:02:49<38:46,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  61%|██████▏   | 2459/4000 [1:02:51<39:00,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  62%|██████▏   | 2460/4000 [1:02:52<38:58,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  62%|██████▏   | 2461/4000 [1:02:54<38:58,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  62%|██████▏   | 2462/4000 [1:02:56<38:48,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  62%|██████▏   | 2463/4000 [1:02:57<38:39,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  62%|██████▏   | 2464/4000 [1:02:59<38:39,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  62%|██████▏   | 2465/4000 [1:03:00<38:35,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  62%|██████▏   | 2466/4000 [1:03:02<38:31,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  62%|██████▏   | 2467/4000 [1:03:03<38:33,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  62%|██████▏   | 2468/4000 [1:03:05<38:35,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  62%|██████▏   | 2469/4000 [1:03:06<38:29,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  62%|██████▏   | 2470/4000 [1:03:08<38:30,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  62%|██████▏   | 2471/4000 [1:03:09<38:37,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  62%|██████▏   | 2472/4000 [1:03:11<38:28,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:  62%|██████▏   | 2473/4000 [1:03:12<38:28,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  62%|██████▏   | 2474/4000 [1:03:14<38:23,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  62%|██████▏   | 2475/4000 [1:03:15<38:18,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  62%|██████▏   | 2476/4000 [1:03:17<38:13,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:  62%|██████▏   | 2477/4000 [1:03:18<38:08,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  62%|██████▏   | 2478/4000 [1:03:20<38:06,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  62%|██████▏   | 2479/4000 [1:03:21<36:38,  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: 0.6036237478256226
train acc: 0.862348198890686
train loss: 0.5472926497459412
train acc: 0.8700000047683716
train loss: 0.5712857246398926
train acc: 0.8759999871253967


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  62%|██████▏   | 2480/4000 [1:03:23<44:21,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.35s/it]
overall:  62%|██████▏   | 2481/4000 [1:03:25<42:35,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.86s/it]
overall:  62%|██████▏   | 2482/4000 [1:03:26<41:24,  1.64s/it]

train:   8%|▊         | 3/37 [00:05<00:58,  1.71s/it]
overall:  62%|██████▏   | 2483/4000 [1:03:28<40:50,  1.62s/it]

train:  11%|█         | 4/37 [00:06<00:54,  1.65s/it]
overall:  62%|██████▏   | 2484/4000 [1:03:30<39:55,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:51,  1.60s/it]
overall:  62%|██████▏   | 2485/4000 [1:03:31<39:16,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  62%|██████▏   | 2486/4000 [1:03:33<38:51,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  62%|██████▏   | 2487/4000 [1:03:34<38:31,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  62%|██████▏   | 2488/4000 [1:03:36<38:18,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  62%|██████▏   | 2489/4000 [1:03:37<38:15,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  62%|██████▏   | 2490/4000 [1:03:39<38:05,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  62%|██████▏   | 2491/4000 [1:03:40<37:57,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  62%|██████▏   | 2492/4000 [1:03:42<37:57,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  62%|██████▏   | 2493/4000 [1:03:43<37:52,  1.51s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.51s/it]
overall:  62%|██████▏   | 2494/4000 [1:03:45<37:56,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  62%|██████▏   | 2495/4000 [1:03:46<38:00,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  62%|██████▏   | 2496/4000 [1:03:48<37:58,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  62%|██████▏   | 2497/4000 [1:03:49<37:52,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  62%|██████▏   | 2498/4000 [1:03:51<37:46,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  62%|██████▏   | 2499/4000 [1:03:52<37:47,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  62%|██████▎   | 2500/4000 [1:03:54<37:44,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  63%|██████▎   | 2501/4000 [1:03:55<37:42,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  63%|██████▎   | 2502/4000 [1:03:57<37:38,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  63%|██████▎   | 2503/4000 [1:03:58<37:36,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  63%|██████▎   | 2504/4000 [1:04:00<37:36,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  63%|██████▎   | 2505/4000 [1:04:01<37:32,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  63%|██████▎   | 2506/4000 [1:04:03<37:27,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  63%|██████▎   | 2507/4000 [1:04:04<37:31,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  63%|██████▎   | 2508/4000 [1:04:06<37:26,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  63%|██████▎   | 2509/4000 [1:04:07<37:22,  1.50s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.50s/it]
overall:  63%|██████▎   | 2510/4000 [1:04:09<37:21,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  63%|██████▎   | 2511/4000 [1:04:10<37:23,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  63%|██████▎   | 2512/4000 [1:04:12<37:20,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  63%|██████▎   | 2513/4000 [1:04:13<37:24,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  63%|██████▎   | 2514/4000 [1:04:15<37:19,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  63%|██████▎   | 2515/4000 [1:04:16<37:12,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  63%|██████▎   | 2516/4000 [1:04:18<35:47,  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: 0.5666347742080688
train acc: 0.8653846383094788
train loss: 0.5780494809150696
train acc: 0.8709999918937683
train loss: 0.5639088153839111
train acc: 0.8709999918937683
train loss: 0.5587869882583618
train acc: 0.878000020980835


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  63%|██████▎   | 2517/4000 [1:04:20<42:08,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  63%|██████▎   | 2518/4000 [1:04:21<40:43,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  63%|██████▎   | 2519/4000 [1:04:23<39:37,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  63%|██████▎   | 2520/4000 [1:04:24<38:58,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  63%|██████▎   | 2521/4000 [1:04:26<38:26,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  63%|██████▎   | 2522/4000 [1:04:27<38:00,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  63%|██████▎   | 2523/4000 [1:04:29<37:48,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  63%|██████▎   | 2524/4000 [1:04:30<37:34,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  63%|██████▎   | 2525/4000 [1:04:32<37:16,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  63%|██████▎   | 2526/4000 [1:04:33<37:14,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  63%|██████▎   | 2527/4000 [1:04:35<37:02,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  63%|██████▎   | 2528/4000 [1:04:36<36:53,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  63%|██████▎   | 2529/4000 [1:04:38<36:57,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  63%|██████▎   | 2530/4000 [1:04:39<36:54,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  63%|██████▎   | 2531/4000 [1:04:41<36:50,  1.50s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.50s/it]
overall:  63%|██████▎   | 2532/4000 [1:04:42<36:43,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  63%|██████▎   | 2533/4000 [1:04:44<36:43,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:  63%|██████▎   | 2534/4000 [1:04:45<36:40,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  63%|██████▎   | 2535/4000 [1:04:47<36:38,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  63%|██████▎   | 2536/4000 [1:04:48<36:37,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  63%|██████▎   | 2537/4000 [1:04:50<36:34,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.50s/it]
overall:  63%|██████▎   | 2538/4000 [1:04:51<36:40,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  63%|██████▎   | 2539/4000 [1:04:53<36:37,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  64%|██████▎   | 2540/4000 [1:04:54<36:34,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  64%|██████▎   | 2541/4000 [1:04:56<36:47,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  64%|██████▎   | 2542/4000 [1:04:58<36:50,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:  64%|██████▎   | 2543/4000 [1:04:59<36:43,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  64%|██████▎   | 2544/4000 [1:05:01<36:41,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  64%|██████▎   | 2545/4000 [1:05:02<36:34,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  64%|██████▎   | 2546/4000 [1:05:04<36:30,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:  64%|██████▎   | 2547/4000 [1:05:05<36:26,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  64%|██████▎   | 2548/4000 [1:05:07<36:28,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  64%|██████▎   | 2549/4000 [1:05:08<36:25,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  64%|██████▍   | 2550/4000 [1:05:10<36:29,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:  64%|██████▍   | 2551/4000 [1:05:11<36:25,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  64%|██████▍   | 2552/4000 [1:05:13<36:20,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.51s/it]
overall:  64%|██████▍   | 2553/4000 [1:05:14<34:58,  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: 0.5525800585746765
train acc: 0.8775303363800049
train loss: 0.537335991859436
train acc: 0.8799999952316284
train loss: 0.5667001008987427
train acc: 0.8740000128746033
train loss: 0.549260675907135
train acc: 0.8820000290870667


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  64%|██████▍   | 2554/4000 [1:05:16<41:04,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  64%|██████▍   | 2555/4000 [1:05:18<39:46,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  64%|██████▍   | 2556/4000 [1:05:19<38:41,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  64%|██████▍   | 2557/4000 [1:05:21<37:53,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  64%|██████▍   | 2558/4000 [1:05:22<37:19,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  64%|██████▍   | 2559/4000 [1:05:24<36:55,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  64%|██████▍   | 2560/4000 [1:05:25<36:38,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  64%|██████▍   | 2561/4000 [1:05:27<36:26,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  64%|██████▍   | 2562/4000 [1:05:28<36:24,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  64%|██████▍   | 2563/4000 [1:05:30<36:15,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  64%|██████▍   | 2564/4000 [1:05:31<36:14,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  64%|██████▍   | 2565/4000 [1:05:33<36:14,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  64%|██████▍   | 2566/4000 [1:05:34<36:13,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  64%|██████▍   | 2567/4000 [1:05:36<36:09,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  64%|██████▍   | 2568/4000 [1:05:37<35:58,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  64%|██████▍   | 2569/4000 [1:05:39<35:54,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  64%|██████▍   | 2570/4000 [1:05:40<35:50,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:  64%|██████▍   | 2571/4000 [1:05:42<35:46,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  64%|██████▍   | 2572/4000 [1:05:43<35:43,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  64%|██████▍   | 2573/4000 [1:05:45<35:41,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  64%|██████▍   | 2574/4000 [1:05:46<35:39,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  64%|██████▍   | 2575/4000 [1:05:48<35:37,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  64%|██████▍   | 2576/4000 [1:05:49<35:35,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.50s/it]
overall:  64%|██████▍   | 2577/4000 [1:05:51<35:35,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  64%|██████▍   | 2578/4000 [1:05:52<35:40,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  64%|██████▍   | 2579/4000 [1:05:54<35:45,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  64%|██████▍   | 2580/4000 [1:05:55<35:41,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  65%|██████▍   | 2581/4000 [1:05:57<35:42,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  65%|██████▍   | 2582/4000 [1:05:58<35:45,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  65%|██████▍   | 2583/4000 [1:06:00<35:46,  1.52s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.52s/it]
overall:  65%|██████▍   | 2584/4000 [1:06:01<35:39,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  65%|██████▍   | 2585/4000 [1:06:03<35:36,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  65%|██████▍   | 2586/4000 [1:06:04<35:44,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  65%|██████▍   | 2587/4000 [1:06:06<35:41,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.52s/it]
overall:  65%|██████▍   | 2588/4000 [1:06:07<35:34,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  65%|██████▍   | 2589/4000 [1:06:09<35:28,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.51s/it]
overall:  65%|██████▍   | 2590/4000 [1:06:10<34:05,  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: 0.604610025882721
train acc: 0.8572874665260315
train loss: 0.5565434694290161
train acc: 0.8600000143051147
train loss: 0.5249990820884705
train acc: 0.8920000195503235
train loss: 0.5795849561691284
train acc: 0.8714575171470642


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  65%|██████▍   | 2591/4000 [1:06:13<41:03,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  65%|██████▍   | 2592/4000 [1:06:14<39:23,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  65%|██████▍   | 2593/4000 [1:06:16<38:05,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  65%|██████▍   | 2594/4000 [1:06:17<37:13,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  65%|██████▍   | 2595/4000 [1:06:19<36:40,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  65%|██████▍   | 2596/4000 [1:06:20<36:12,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  65%|██████▍   | 2597/4000 [1:06:22<35:53,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  65%|██████▍   | 2598/4000 [1:06:23<35:35,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  65%|██████▍   | 2599/4000 [1:06:25<35:22,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  65%|██████▌   | 2600/4000 [1:06:26<35:15,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  65%|██████▌   | 2601/4000 [1:06:28<35:09,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  65%|██████▌   | 2602/4000 [1:06:29<35:11,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  65%|██████▌   | 2603/4000 [1:06:31<35:15,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  65%|██████▌   | 2604/4000 [1:06:32<35:06,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  65%|██████▌   | 2605/4000 [1:06:34<35:01,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  65%|██████▌   | 2606/4000 [1:06:35<34:57,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  65%|██████▌   | 2607/4000 [1:06:37<34:59,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  65%|██████▌   | 2608/4000 [1:06:38<34:56,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  65%|██████▌   | 2609/4000 [1:06:40<34:59,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  65%|██████▌   | 2610/4000 [1:06:41<34:55,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  65%|██████▌   | 2611/4000 [1:06:43<34:57,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  65%|██████▌   | 2612/4000 [1:06:44<34:53,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  65%|██████▌   | 2613/4000 [1:06:46<34:54,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  65%|██████▌   | 2614/4000 [1:06:47<34:51,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  65%|██████▌   | 2615/4000 [1:06:49<34:53,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  65%|██████▌   | 2616/4000 [1:06:50<34:46,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  65%|██████▌   | 2617/4000 [1:06:52<34:42,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  65%|██████▌   | 2618/4000 [1:06:53<34:37,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  65%|██████▌   | 2619/4000 [1:06:55<34:34,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  66%|██████▌   | 2620/4000 [1:06:56<34:32,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  66%|██████▌   | 2621/4000 [1:06:58<34:32,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  66%|██████▌   | 2622/4000 [1:06:59<34:31,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  66%|██████▌   | 2623/4000 [1:07:01<34:32,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  66%|██████▌   | 2624/4000 [1:07:02<34:43,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  66%|██████▌   | 2625/4000 [1:07:04<34:37,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  66%|██████▌   | 2626/4000 [1:07:05<34:38,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  66%|██████▌   | 2627/4000 [1:07:07<33:18,  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: 0.5561148524284363
train acc: 0.871999979019165
train loss: 0.5617569088935852
train acc: 0.875
train loss: 0.5587073564529419
train acc: 0.8740000128746033


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  66%|██████▌   | 2628/4000 [1:07:09<39:53,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  66%|██████▌   | 2629/4000 [1:07:11<38:10,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  66%|██████▌   | 2630/4000 [1:07:12<37:06,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  66%|██████▌   | 2631/4000 [1:07:14<36:13,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  66%|██████▌   | 2632/4000 [1:07:15<35:35,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  66%|██████▌   | 2633/4000 [1:07:17<35:08,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  66%|██████▌   | 2634/4000 [1:07:18<34:51,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  66%|██████▌   | 2635/4000 [1:07:20<34:39,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  66%|██████▌   | 2636/4000 [1:07:21<34:30,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  66%|██████▌   | 2637/4000 [1:07:23<34:30,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  66%|██████▌   | 2638/4000 [1:07:24<34:22,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  66%|██████▌   | 2639/4000 [1:07:26<34:14,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  66%|██████▌   | 2640/4000 [1:07:27<34:17,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  66%|██████▌   | 2641/4000 [1:07:29<34:10,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  66%|██████▌   | 2642/4000 [1:07:30<34:10,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  66%|██████▌   | 2643/4000 [1:07:32<34:06,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  66%|██████▌   | 2644/4000 [1:07:33<34:02,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  66%|██████▌   | 2645/4000 [1:07:35<33:58,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  66%|██████▌   | 2646/4000 [1:07:36<34:02,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  66%|██████▌   | 2647/4000 [1:07:38<33:58,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  66%|██████▌   | 2648/4000 [1:07:39<33:56,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  66%|██████▌   | 2649/4000 [1:07:41<33:56,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  66%|██████▋   | 2650/4000 [1:07:42<33:53,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  66%|██████▋   | 2651/4000 [1:07:44<33:49,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  66%|██████▋   | 2652/4000 [1:07:45<33:53,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  66%|██████▋   | 2653/4000 [1:07:47<33:47,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  66%|██████▋   | 2654/4000 [1:07:48<33:44,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  66%|██████▋   | 2655/4000 [1:07:50<33:42,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  66%|██████▋   | 2656/4000 [1:07:51<33:38,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  66%|██████▋   | 2657/4000 [1:07:53<33:35,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  66%|██████▋   | 2658/4000 [1:07:54<33:34,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  66%|██████▋   | 2659/4000 [1:07:56<33:31,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  66%|██████▋   | 2660/4000 [1:07:57<33:29,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.50s/it]
overall:  67%|██████▋   | 2661/4000 [1:07:59<33:33,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  67%|██████▋   | 2662/4000 [1:08:00<33:33,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  67%|██████▋   | 2663/4000 [1:08:02<33:29,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  67%|██████▋   | 2664/4000 [1:08:03<32:12,  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: 0.5320641994476318
train acc: 0.8836032152175903
train loss: 0.5503829717636108
train acc: 0.8920000195503235
train loss: 0.5497891902923584
train acc: 0.8650000095367432
train loss: 0.5498446226119995
train acc: 0.8740000128746033


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  67%|██████▋   | 2665/4000 [1:08:06<38:09,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  67%|██████▋   | 2666/4000 [1:08:07<36:48,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  67%|██████▋   | 2667/4000 [1:08:09<35:46,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  67%|██████▋   | 2668/4000 [1:08:10<35:00,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  67%|██████▋   | 2669/4000 [1:08:12<34:28,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  67%|██████▋   | 2670/4000 [1:08:13<34:10,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  67%|██████▋   | 2671/4000 [1:08:15<34:56,  1.58s/it]

train:  19%|█▉        | 7/37 [00:11<00:47,  1.59s/it]
overall:  67%|██████▋   | 2672/4000 [1:08:16<34:24,  1.55s/it]

train:  22%|██▏       | 8/37 [00:12<00:45,  1.56s/it]
overall:  67%|██████▋   | 2673/4000 [1:08:18<34:02,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  67%|██████▋   | 2674/4000 [1:08:19<33:44,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  67%|██████▋   | 2675/4000 [1:08:21<33:32,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  67%|██████▋   | 2676/4000 [1:08:22<33:27,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  67%|██████▋   | 2677/4000 [1:08:24<33:23,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  67%|██████▋   | 2678/4000 [1:08:25<33:21,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  67%|██████▋   | 2679/4000 [1:08:27<33:14,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  67%|██████▋   | 2680/4000 [1:08:28<33:10,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  67%|██████▋   | 2681/4000 [1:08:30<33:05,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  67%|██████▋   | 2682/4000 [1:08:31<33:07,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  67%|██████▋   | 2683/4000 [1:08:33<33:09,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  67%|██████▋   | 2684/4000 [1:08:34<33:06,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  67%|██████▋   | 2685/4000 [1:08:36<33:02,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  67%|██████▋   | 2686/4000 [1:08:37<32:58,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  67%|██████▋   | 2687/4000 [1:08:39<32:58,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  67%|██████▋   | 2688/4000 [1:08:40<32:56,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  67%|██████▋   | 2689/4000 [1:08:42<32:58,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  67%|██████▋   | 2690/4000 [1:08:43<32:56,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  67%|██████▋   | 2691/4000 [1:08:45<32:54,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  67%|██████▋   | 2692/4000 [1:08:46<32:52,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  67%|██████▋   | 2693/4000 [1:08:48<32:48,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  67%|██████▋   | 2694/4000 [1:08:49<32:53,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  67%|██████▋   | 2695/4000 [1:08:51<32:53,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  67%|██████▋   | 2696/4000 [1:08:52<32:53,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  67%|██████▋   | 2697/4000 [1:08:54<32:46,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  67%|██████▋   | 2698/4000 [1:08:55<32:42,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  67%|██████▋   | 2699/4000 [1:08:57<32:38,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  68%|██████▊   | 2700/4000 [1:08:58<32:34,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  68%|██████▊   | 2701/4000 [1:09:00<31:20,  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: 0.555199384689331
train acc: 0.8846153616905212
train loss: 0.5503318905830383
train acc: 0.8759999871253967
train loss: 0.5542182326316833
train acc: 0.8799999952316284
train loss: 0.5484711527824402
train acc: 0.8740000128746033


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  68%|██████▊   | 2702/4000 [1:09:02<36:50,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  68%|██████▊   | 2703/4000 [1:09:04<35:31,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  68%|██████▊   | 2704/4000 [1:09:05<34:40,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  68%|██████▊   | 2705/4000 [1:09:07<33:57,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  68%|██████▊   | 2706/4000 [1:09:08<33:28,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  68%|██████▊   | 2707/4000 [1:09:10<33:06,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  68%|██████▊   | 2708/4000 [1:09:11<32:49,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  68%|██████▊   | 2709/4000 [1:09:13<32:38,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  68%|██████▊   | 2710/4000 [1:09:14<32:33,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  68%|██████▊   | 2711/4000 [1:09:16<32:39,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  68%|██████▊   | 2712/4000 [1:09:17<32:45,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  68%|██████▊   | 2713/4000 [1:09:19<32:37,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  68%|██████▊   | 2714/4000 [1:09:20<32:50,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  68%|██████▊   | 2715/4000 [1:09:22<32:40,  1.53s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.53s/it]
overall:  68%|██████▊   | 2716/4000 [1:09:23<32:34,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  68%|██████▊   | 2717/4000 [1:09:25<32:26,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  68%|██████▊   | 2718/4000 [1:09:26<32:24,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  68%|██████▊   | 2719/4000 [1:09:28<32:18,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  68%|██████▊   | 2720/4000 [1:09:29<32:12,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  68%|██████▊   | 2721/4000 [1:09:31<32:05,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  68%|██████▊   | 2722/4000 [1:09:32<32:02,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  68%|██████▊   | 2723/4000 [1:09:34<32:04,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  68%|██████▊   | 2724/4000 [1:09:35<32:00,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  68%|██████▊   | 2725/4000 [1:09:37<31:58,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  68%|██████▊   | 2726/4000 [1:09:38<32:07,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  68%|██████▊   | 2727/4000 [1:09:40<32:03,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  68%|██████▊   | 2728/4000 [1:09:41<32:03,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  68%|██████▊   | 2729/4000 [1:09:43<31:59,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  68%|██████▊   | 2730/4000 [1:09:44<31:57,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  68%|██████▊   | 2731/4000 [1:09:46<31:56,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  68%|██████▊   | 2732/4000 [1:09:47<31:48,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  68%|██████▊   | 2733/4000 [1:09:49<31:44,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  68%|██████▊   | 2734/4000 [1:09:50<31:43,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  68%|██████▊   | 2735/4000 [1:09:52<31:41,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  68%|██████▊   | 2736/4000 [1:09:53<31:38,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  68%|██████▊   | 2737/4000 [1:09:55<31:33,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  68%|██████▊   | 2738/4000 [1:09:56<30:22,  1.44s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 0.5471830368041992
train acc: 0.8825910687446594
train loss: 0.5411425828933716
train acc: 0.8730000257492065
train loss: 0.5548111200332642
train acc: 0.8820000290870667


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  68%|██████▊   | 2739/4000 [1:09:59<37:01,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:26,  2.39s/it]
overall:  68%|██████▊   | 2740/4000 [1:10:00<35:21,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.87s/it]
overall:  69%|██████▊   | 2741/4000 [1:10:02<34:11,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  69%|██████▊   | 2742/4000 [1:10:03<33:27,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  69%|██████▊   | 2743/4000 [1:10:05<32:56,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  69%|██████▊   | 2744/4000 [1:10:06<32:28,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  69%|██████▊   | 2745/4000 [1:10:08<32:11,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  69%|██████▊   | 2746/4000 [1:10:09<31:57,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  69%|██████▊   | 2747/4000 [1:10:11<31:52,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  69%|██████▊   | 2748/4000 [1:10:12<31:48,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  69%|██████▊   | 2749/4000 [1:10:14<31:46,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  69%|██████▉   | 2750/4000 [1:10:15<31:43,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.52s/it]
overall:  69%|██████▉   | 2751/4000 [1:10:17<32:00,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.54s/it]
overall:  69%|██████▉   | 2752/4000 [1:10:18<31:46,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  69%|██████▉   | 2753/4000 [1:10:20<31:38,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  69%|██████▉   | 2754/4000 [1:10:21<31:32,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  69%|██████▉   | 2755/4000 [1:10:23<31:29,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  69%|██████▉   | 2756/4000 [1:10:24<31:21,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  69%|██████▉   | 2757/4000 [1:10:26<31:15,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  69%|██████▉   | 2758/4000 [1:10:27<31:11,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  69%|██████▉   | 2759/4000 [1:10:29<31:13,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  69%|██████▉   | 2760/4000 [1:10:30<31:08,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  69%|██████▉   | 2761/4000 [1:10:32<31:11,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  69%|██████▉   | 2762/4000 [1:10:33<31:11,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  69%|██████▉   | 2763/4000 [1:10:35<31:17,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  69%|██████▉   | 2764/4000 [1:10:36<31:11,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  69%|██████▉   | 2765/4000 [1:10:38<31:06,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  69%|██████▉   | 2766/4000 [1:10:40<31:07,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  69%|██████▉   | 2767/4000 [1:10:41<31:03,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  69%|██████▉   | 2768/4000 [1:10:43<30:57,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  69%|██████▉   | 2769/4000 [1:10:44<30:56,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  69%|██████▉   | 2770/4000 [1:10:46<30:54,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  69%|██████▉   | 2771/4000 [1:10:47<30:51,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  69%|██████▉   | 2772/4000 [1:10:49<30:52,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  69%|██████▉   | 2773/4000 [1:10:50<30:56,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  69%|██████▉   | 2774/4000 [1:10:52<30:53,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  69%|██████▉   | 2775/4000 [1:10:53<29:50,  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: 0.5572884678840637
train acc: 0.876518189907074
train loss: 0.5211256742477417
train acc: 0.8870000243186951
train loss: 0.5361490845680237
train acc: 0.8830000162124634
train loss: 0.5776659846305847
train acc: 0.8730000257492065


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  69%|██████▉   | 2776/4000 [1:10:55<35:39,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  69%|██████▉   | 2777/4000 [1:10:57<34:08,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  69%|██████▉   | 2778/4000 [1:10:58<33:02,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  69%|██████▉   | 2779/4000 [1:11:00<32:15,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  70%|██████▉   | 2780/4000 [1:11:01<31:42,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  70%|██████▉   | 2781/4000 [1:11:03<31:19,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  70%|██████▉   | 2782/4000 [1:11:04<31:09,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  70%|██████▉   | 2783/4000 [1:11:06<31:02,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  70%|██████▉   | 2784/4000 [1:11:07<30:58,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  70%|██████▉   | 2785/4000 [1:11:09<30:51,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  70%|██████▉   | 2786/4000 [1:11:10<30:48,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  70%|██████▉   | 2787/4000 [1:11:12<30:47,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  70%|██████▉   | 2788/4000 [1:11:14<30:58,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  70%|██████▉   | 2789/4000 [1:11:15<30:45,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  70%|██████▉   | 2790/4000 [1:11:17<30:35,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  70%|██████▉   | 2791/4000 [1:11:18<30:33,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  70%|██████▉   | 2792/4000 [1:11:20<30:27,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  70%|██████▉   | 2793/4000 [1:11:21<30:21,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  70%|██████▉   | 2794/4000 [1:11:23<30:21,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  70%|██████▉   | 2795/4000 [1:11:24<30:17,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  70%|██████▉   | 2796/4000 [1:11:26<30:19,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  70%|██████▉   | 2797/4000 [1:11:27<30:14,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  70%|██████▉   | 2798/4000 [1:11:29<30:13,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  70%|██████▉   | 2799/4000 [1:11:30<30:11,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  70%|███████   | 2800/4000 [1:11:32<30:21,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  70%|███████   | 2801/4000 [1:11:33<30:14,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  70%|███████   | 2802/4000 [1:11:35<30:07,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  70%|███████   | 2803/4000 [1:11:36<30:02,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  70%|███████   | 2804/4000 [1:11:38<30:04,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  70%|███████   | 2805/4000 [1:11:39<30:00,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  70%|███████   | 2806/4000 [1:11:41<29:56,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  70%|███████   | 2807/4000 [1:11:42<29:54,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  70%|███████   | 2808/4000 [1:11:44<29:56,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  70%|███████   | 2809/4000 [1:11:45<29:53,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  70%|███████   | 2810/4000 [1:11:47<29:51,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  70%|███████   | 2811/4000 [1:11:48<29:50,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  70%|███████   | 2812/4000 [1:11:50<28:46,  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: 0.5422312021255493
train acc: 0.876518189907074
train loss: 0.547640323638916
train acc: 0.8700000047683716
train loss: 0.5277251601219177
train acc: 0.8889999985694885
train loss: 0.5407654643058777
train acc: 0.8809999823570251


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  70%|███████   | 2813/4000 [1:11:52<33:57,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  70%|███████   | 2814/4000 [1:11:53<32:54,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  70%|███████   | 2815/4000 [1:11:55<31:59,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  70%|███████   | 2816/4000 [1:11:56<31:14,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  70%|███████   | 2817/4000 [1:11:58<30:44,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  70%|███████   | 2818/4000 [1:11:59<30:21,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  70%|███████   | 2819/4000 [1:12:01<30:06,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  70%|███████   | 2820/4000 [1:12:02<30:00,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  71%|███████   | 2821/4000 [1:12:04<29:54,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  71%|███████   | 2822/4000 [1:12:05<29:47,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  71%|███████   | 2823/4000 [1:12:07<29:40,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  71%|███████   | 2824/4000 [1:12:08<29:38,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  71%|███████   | 2825/4000 [1:12:10<29:34,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  71%|███████   | 2826/4000 [1:12:11<29:36,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  71%|███████   | 2827/4000 [1:12:13<29:37,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  71%|███████   | 2828/4000 [1:12:15<29:36,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  71%|███████   | 2829/4000 [1:12:16<29:29,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  71%|███████   | 2830/4000 [1:12:18<29:25,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  71%|███████   | 2831/4000 [1:12:19<29:19,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  71%|███████   | 2832/4000 [1:12:21<29:16,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  71%|███████   | 2833/4000 [1:12:22<29:13,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  71%|███████   | 2834/4000 [1:12:24<29:10,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  71%|███████   | 2835/4000 [1:12:25<29:08,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  71%|███████   | 2836/4000 [1:12:27<29:11,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  71%|███████   | 2837/4000 [1:12:28<29:09,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  71%|███████   | 2838/4000 [1:12:30<29:07,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  71%|███████   | 2839/4000 [1:12:31<29:12,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  71%|███████   | 2840/4000 [1:12:33<29:06,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  71%|███████   | 2841/4000 [1:12:34<29:03,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  71%|███████   | 2842/4000 [1:12:36<29:00,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  71%|███████   | 2843/4000 [1:12:37<28:57,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  71%|███████   | 2844/4000 [1:12:39<29:00,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  71%|███████   | 2845/4000 [1:12:40<28:59,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  71%|███████   | 2846/4000 [1:12:42<28:57,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:  71%|███████   | 2847/4000 [1:12:43<28:56,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  71%|███████   | 2848/4000 [1:12:45<28:56,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.51s/it]
overall:  71%|███████   | 2849/4000 [1:12:46<27:54,  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: 0.5545305013656616
train acc: 0.8755060434341431
train loss: 0.5289257764816284
train acc: 0.8769999742507935
train loss: 0.5256503224372864
train acc: 0.8939999938011169


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  71%|███████▏  | 2850/4000 [1:12:48<32:56,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  71%|███████▏  | 2851/4000 [1:12:50<31:48,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  71%|███████▏  | 2852/4000 [1:12:51<31:00,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  71%|███████▏  | 2853/4000 [1:12:53<30:23,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  71%|███████▏  | 2854/4000 [1:12:54<29:55,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  71%|███████▏  | 2855/4000 [1:12:56<29:35,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  71%|███████▏  | 2856/4000 [1:12:57<29:17,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  71%|███████▏  | 2857/4000 [1:12:59<29:09,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  71%|███████▏  | 2858/4000 [1:13:00<29:01,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  71%|███████▏  | 2859/4000 [1:13:02<28:59,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  72%|███████▏  | 2860/4000 [1:13:03<28:51,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  72%|███████▏  | 2861/4000 [1:13:05<28:43,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  72%|███████▏  | 2862/4000 [1:13:06<28:44,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  72%|███████▏  | 2863/4000 [1:13:08<28:43,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  72%|███████▏  | 2864/4000 [1:13:09<28:42,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  72%|███████▏  | 2865/4000 [1:13:11<28:40,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  72%|███████▏  | 2866/4000 [1:13:13<28:40,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  72%|███████▏  | 2867/4000 [1:13:14<28:35,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  72%|███████▏  | 2868/4000 [1:13:16<28:35,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  72%|███████▏  | 2869/4000 [1:13:17<28:41,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  72%|███████▏  | 2870/4000 [1:13:19<28:41,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  72%|███████▏  | 2871/4000 [1:13:20<28:38,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  72%|███████▏  | 2872/4000 [1:13:22<28:35,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  72%|███████▏  | 2873/4000 [1:13:23<28:33,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  72%|███████▏  | 2874/4000 [1:13:25<28:30,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  72%|███████▏  | 2875/4000 [1:13:26<28:24,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  72%|███████▏  | 2876/4000 [1:13:28<28:22,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  72%|███████▏  | 2877/4000 [1:13:29<28:22,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  72%|███████▏  | 2878/4000 [1:13:31<28:21,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  72%|███████▏  | 2879/4000 [1:13:32<28:22,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  72%|███████▏  | 2880/4000 [1:13:34<28:14,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  72%|███████▏  | 2881/4000 [1:13:35<28:13,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  72%|███████▏  | 2882/4000 [1:13:37<28:08,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  72%|███████▏  | 2883/4000 [1:13:38<28:07,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  72%|███████▏  | 2884/4000 [1:13:40<28:06,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  72%|███████▏  | 2885/4000 [1:13:41<28:03,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  72%|███████▏  | 2886/4000 [1:13:43<27:03,  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: 0.548876166343689
train acc: 0.8744939565658569
train loss: 0.5146337151527405
train acc: 0.8849999904632568
train loss: 0.5355499982833862
train acc: 0.8920000195503235
train loss: 0.5475512146949768
train acc: 0.875


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  72%|███████▏  | 2887/4000 [1:13:45<31:46,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  72%|███████▏  | 2888/4000 [1:13:46<30:40,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  72%|███████▏  | 2889/4000 [1:13:48<30:00,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  72%|███████▏  | 2890/4000 [1:13:50<29:26,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  72%|███████▏  | 2891/4000 [1:13:51<28:59,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  72%|███████▏  | 2892/4000 [1:13:53<28:41,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  72%|███████▏  | 2893/4000 [1:13:54<28:28,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  72%|███████▏  | 2894/4000 [1:13:56<28:16,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  72%|███████▏  | 2895/4000 [1:13:57<28:06,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  72%|███████▏  | 2896/4000 [1:13:59<28:02,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  72%|███████▏  | 2897/4000 [1:14:00<27:54,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  72%|███████▏  | 2898/4000 [1:14:02<27:50,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  72%|███████▏  | 2899/4000 [1:14:03<27:49,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  72%|███████▎  | 2900/4000 [1:14:05<27:46,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  73%|███████▎  | 2901/4000 [1:14:06<27:45,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  73%|███████▎  | 2902/4000 [1:14:08<27:39,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  73%|███████▎  | 2903/4000 [1:14:09<27:33,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  73%|███████▎  | 2904/4000 [1:14:11<27:28,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  73%|███████▎  | 2905/4000 [1:14:12<27:26,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  73%|███████▎  | 2906/4000 [1:14:14<27:26,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  73%|███████▎  | 2907/4000 [1:14:15<27:25,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  73%|███████▎  | 2908/4000 [1:14:17<27:27,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  73%|███████▎  | 2909/4000 [1:14:18<27:32,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  73%|███████▎  | 2910/4000 [1:14:20<27:36,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  73%|███████▎  | 2911/4000 [1:14:21<27:33,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  73%|███████▎  | 2912/4000 [1:14:23<27:29,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  73%|███████▎  | 2913/4000 [1:14:24<27:28,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  73%|███████▎  | 2914/4000 [1:14:26<27:26,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  73%|███████▎  | 2915/4000 [1:14:27<27:21,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  73%|███████▎  | 2916/4000 [1:14:29<27:14,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  73%|███████▎  | 2917/4000 [1:14:30<27:10,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  73%|███████▎  | 2918/4000 [1:14:32<27:06,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  73%|███████▎  | 2919/4000 [1:14:33<27:04,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  73%|███████▎  | 2920/4000 [1:14:35<27:02,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  73%|███████▎  | 2921/4000 [1:14:36<27:04,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  73%|███████▎  | 2922/4000 [1:14:38<27:02,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  73%|███████▎  | 2923/4000 [1:14:39<26:01,  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: 0.5221853256225586
train acc: 0.8836032152175903
train loss: 0.5272661447525024
train acc: 0.8889999985694885
train loss: 0.5339951515197754
train acc: 0.8870000243186951
train loss: 0.56423419713974
train acc: 0.8679999709129333


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  73%|███████▎  | 2924/4000 [1:14:41<30:39,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  73%|███████▎  | 2925/4000 [1:14:43<29:36,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  73%|███████▎  | 2926/4000 [1:14:45<28:46,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  73%|███████▎  | 2927/4000 [1:14:46<28:16,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  73%|███████▎  | 2928/4000 [1:14:48<27:53,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  73%|███████▎  | 2929/4000 [1:14:49<27:38,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  73%|███████▎  | 2930/4000 [1:14:51<27:23,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  73%|███████▎  | 2931/4000 [1:14:52<27:15,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  73%|███████▎  | 2932/4000 [1:14:54<27:10,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  73%|███████▎  | 2933/4000 [1:14:55<27:03,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  73%|███████▎  | 2934/4000 [1:14:57<26:57,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  73%|███████▎  | 2935/4000 [1:14:58<26:50,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  73%|███████▎  | 2936/4000 [1:15:00<26:50,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  73%|███████▎  | 2937/4000 [1:15:01<26:50,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  73%|███████▎  | 2938/4000 [1:15:03<26:44,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  73%|███████▎  | 2939/4000 [1:15:04<26:41,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  74%|███████▎  | 2940/4000 [1:15:06<26:36,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  74%|███████▎  | 2941/4000 [1:15:07<26:38,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  74%|███████▎  | 2942/4000 [1:15:09<26:33,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  74%|███████▎  | 2943/4000 [1:15:10<26:30,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  74%|███████▎  | 2944/4000 [1:15:12<26:32,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  74%|███████▎  | 2945/4000 [1:15:13<26:29,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  74%|███████▎  | 2946/4000 [1:15:15<26:25,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  74%|███████▎  | 2947/4000 [1:15:16<26:26,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  74%|███████▎  | 2948/4000 [1:15:18<26:25,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  74%|███████▎  | 2949/4000 [1:15:19<26:26,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  74%|███████▍  | 2950/4000 [1:15:21<26:22,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  74%|███████▍  | 2951/4000 [1:15:22<26:24,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  74%|███████▍  | 2952/4000 [1:15:24<26:20,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  74%|███████▍  | 2953/4000 [1:15:25<26:16,  1.51s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.51s/it]
overall:  74%|███████▍  | 2954/4000 [1:15:27<26:12,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  74%|███████▍  | 2955/4000 [1:15:28<26:20,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  74%|███████▍  | 2956/4000 [1:15:30<26:29,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  74%|███████▍  | 2957/4000 [1:15:31<26:52,  1.55s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.55s/it]
overall:  74%|███████▍  | 2958/4000 [1:15:33<27:19,  1.57s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.57s/it]
overall:  74%|███████▍  | 2959/4000 [1:15:35<27:27,  1.58s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.58s/it]
overall:  74%|███████▍  | 2960/4000 [1:15:36<26:16,  1.52s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train: 100%|██████████| 37/37 [00:57<00:00,  1.54s/it]
train loss: 0.5173676609992981
train acc: 0.8906882405281067
train loss: 0.5496383905410767
train acc: 0.8799999952316284
train loss: 0.5477657318115234
train acc: 0.871999979019165
train loss: 0.5126529932022095
train acc: 0.8917003870010376


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  74%|███████▍  | 2961/4000 [1:15:40<38:56,  2.25s/it]

train:   3%|▎         | 1/37 [00:03<02:12,  3.68s/it]
overall:  74%|███████▍  | 2962/4000 [1:15:42<35:35,  2.06s/it]

train:   5%|▌         | 2/37 [00:05<01:26,  2.46s/it]
overall:  74%|███████▍  | 2963/4000 [1:15:43<33:54,  1.96s/it]

train:   8%|▊         | 3/37 [00:07<01:12,  2.13s/it]
overall:  74%|███████▍  | 2964/4000 [1:15:45<32:13,  1.87s/it]

train:  11%|█         | 4/37 [00:08<01:03,  1.94s/it]
overall:  74%|███████▍  | 2965/4000 [1:15:47<30:30,  1.77s/it]

train:  14%|█▎        | 5/37 [00:10<00:57,  1.80s/it]
overall:  74%|███████▍  | 2966/4000 [1:15:48<30:02,  1.74s/it]

train:  16%|█▌        | 6/37 [00:11<00:54,  1.76s/it]
overall:  74%|███████▍  | 2967/4000 [1:15:50<31:38,  1.84s/it]

train:  19%|█▉        | 7/37 [00:13<00:55,  1.86s/it]
overall:  74%|███████▍  | 2968/4000 [1:15:52<33:15,  1.93s/it]

train:  22%|██▏       | 8/37 [00:16<00:56,  1.95s/it]
overall:  74%|███████▍  | 2969/4000 [1:15:54<31:28,  1.83s/it]

train:  24%|██▍       | 9/37 [00:17<00:51,  1.84s/it]
overall:  74%|███████▍  | 2970/4000 [1:15:56<30:19,  1.77s/it]

train:  27%|██▋       | 10/37 [00:19<00:47,  1.77s/it]
overall:  74%|███████▍  | 2971/4000 [1:15:57<30:31,  1.78s/it]

train:  30%|██▉       | 11/37 [00:21<00:46,  1.78s/it]
overall:  74%|███████▍  | 2972/4000 [1:15:59<30:06,  1.76s/it]

train:  32%|███▏      | 12/37 [00:22<00:43,  1.76s/it]
overall:  74%|███████▍  | 2973/4000 [1:16:01<31:28,  1.84s/it]

train:  35%|███▌      | 13/37 [00:24<00:44,  1.84s/it]
overall:  74%|███████▍  | 2974/4000 [1:16:03<30:56,  1.81s/it]

train:  38%|███▊      | 14/37 [00:26<00:41,  1.81s/it]
overall:  74%|███████▍  | 2975/4000 [1:16:05<30:57,  1.81s/it]

train:  41%|████      | 15/37 [00:28<00:39,  1.81s/it]
overall:  74%|███████▍  | 2976/4000 [1:16:06<29:48,  1.75s/it]

train:  43%|████▎     | 16/37 [00:30<00:36,  1.75s/it]
overall:  74%|███████▍  | 2977/4000 [1:16:08<29:05,  1.71s/it]

train:  46%|████▌     | 17/37 [00:31<00:34,  1.71s/it]
overall:  74%|███████▍  | 2978/4000 [1:16:10<30:07,  1.77s/it]

train:  49%|████▊     | 18/37 [00:33<00:33,  1.77s/it]
overall:  74%|███████▍  | 2979/4000 [1:16:12<31:18,  1.84s/it]

train:  51%|█████▏    | 19/37 [00:35<00:33,  1.84s/it]
overall:  74%|███████▍  | 2980/4000 [1:16:14<30:33,  1.80s/it]

train:  54%|█████▍    | 20/37 [00:37<00:30,  1.80s/it]
overall:  75%|███████▍  | 2981/4000 [1:16:15<29:58,  1.76s/it]

train:  57%|█████▋    | 21/37 [00:38<00:28,  1.76s/it]
overall:  75%|███████▍  | 2982/4000 [1:16:17<29:08,  1.72s/it]

train:  59%|█████▉    | 22/37 [00:40<00:25,  1.72s/it]
overall:  75%|███████▍  | 2983/4000 [1:16:18<28:22,  1.67s/it]

train:  62%|██████▏   | 23/37 [00:42<00:23,  1.67s/it]
overall:  75%|███████▍  | 2984/4000 [1:16:20<28:04,  1.66s/it]

train:  65%|██████▍   | 24/37 [00:43<00:21,  1.66s/it]
overall:  75%|███████▍  | 2985/4000 [1:16:22<27:45,  1.64s/it]

train:  68%|██████▊   | 25/37 [00:45<00:19,  1.64s/it]
overall:  75%|███████▍  | 2986/4000 [1:16:23<27:25,  1.62s/it]

train:  70%|███████   | 26/37 [00:46<00:17,  1.62s/it]
overall:  75%|███████▍  | 2987/4000 [1:16:25<27:10,  1.61s/it]

train:  73%|███████▎  | 27/37 [00:48<00:16,  1.61s/it]
overall:  75%|███████▍  | 2988/4000 [1:16:26<26:51,  1.59s/it]

train:  76%|███████▌  | 28/37 [00:50<00:14,  1.59s/it]
overall:  75%|███████▍  | 2989/4000 [1:16:28<26:57,  1.60s/it]

train:  78%|███████▊  | 29/37 [00:51<00:12,  1.60s/it]
overall:  75%|███████▍  | 2990/4000 [1:16:30<27:12,  1.62s/it]

train:  81%|████████  | 30/37 [00:53<00:11,  1.62s/it]
overall:  75%|███████▍  | 2991/4000 [1:16:31<26:58,  1.60s/it]

train:  84%|████████▍ | 31/37 [00:54<00:09,  1.60s/it]
overall:  75%|███████▍  | 2992/4000 [1:16:33<27:19,  1.63s/it]

train:  86%|████████▋ | 32/37 [00:56<00:08,  1.63s/it]
overall:  75%|███████▍  | 2993/4000 [1:16:35<27:27,  1.64s/it]

train:  89%|████████▉ | 33/37 [00:58<00:06,  1.64s/it]
overall:  75%|███████▍  | 2994/4000 [1:16:36<28:48,  1.72s/it]

train:  92%|█████████▏| 34/37 [01:00<00:05,  1.72s/it]
overall:  75%|███████▍  | 2995/4000 [1:16:38<29:12,  1.74s/it]

train:  95%|█████████▍| 35/37 [01:01<00:03,  1.74s/it]
overall:  75%|███████▍  | 2996/4000 [1:16:40<28:47,  1.72s/it]

train:  97%|█████████▋| 36/37 [01:03<00:01,  1.72s/it]
overall:  75%|███████▍  | 2997/4000 [1:16:41<27:15,  1.63s/it]

train: 100%|██████████| 37/37 [01:05<00:00,  1.63s/it]
train: 100%|██████████| 37/37 [01:05<00:00,  1.76s/it]
train loss: 0.5048230886459351
train acc: 0.9070000052452087
train loss: 0.5277876853942871
train acc: 0.8790000081062317
train loss: 0.5575576424598694
train acc: 0.8709999918937683


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  75%|███████▍  | 2998/4000 [1:16:44<34:16,  2.05s/it]

train:   3%|▎         | 1/37 [00:02<01:44,  2.90s/it]
overall:  75%|███████▍  | 2999/4000 [1:16:46<33:51,  2.03s/it]

train:   5%|▌         | 2/37 [00:04<01:22,  2.36s/it]
overall:  75%|███████▌  | 3000/4000 [1:16:48<32:55,  1.98s/it]

train:   8%|▊         | 3/37 [00:06<01:12,  2.12s/it]
overall:  75%|███████▌  | 3001/4000 [1:16:50<32:06,  1.93s/it]

train:  11%|█         | 4/37 [00:08<01:06,  2.00s/it]
overall:  75%|███████▌  | 3002/4000 [1:16:52<30:41,  1.85s/it]

train:  14%|█▎        | 5/37 [00:10<01:00,  1.88s/it]
overall:  75%|███████▌  | 3003/4000 [1:16:54<31:32,  1.90s/it]

train:  16%|█▌        | 6/37 [00:12<00:59,  1.93s/it]
overall:  75%|███████▌  | 3004/4000 [1:16:55<30:41,  1.85s/it]

train:  19%|█▉        | 7/37 [00:13<00:55,  1.86s/it]
overall:  75%|███████▌  | 3005/4000 [1:16:57<30:48,  1.86s/it]

train:  22%|██▏       | 8/37 [00:15<00:54,  1.87s/it]
overall:  75%|███████▌  | 3006/4000 [1:16:59<30:10,  1.82s/it]

train:  24%|██▍       | 9/37 [00:17<00:51,  1.83s/it]
overall:  75%|███████▌  | 3007/4000 [1:17:01<30:22,  1.84s/it]

train:  27%|██▋       | 10/37 [00:19<00:49,  1.84s/it]
overall:  75%|███████▌  | 3008/4000 [1:17:03<30:59,  1.87s/it]

train:  30%|██▉       | 11/37 [00:21<00:48,  1.88s/it]
overall:  75%|███████▌  | 3009/4000 [1:17:05<29:49,  1.81s/it]

train:  32%|███▏      | 12/37 [00:23<00:45,  1.81s/it]
overall:  75%|███████▌  | 3010/4000 [1:17:06<28:41,  1.74s/it]

train:  35%|███▌      | 13/37 [00:24<00:41,  1.74s/it]
overall:  75%|███████▌  | 3011/4000 [1:17:08<27:45,  1.68s/it]

train:  38%|███▊      | 14/37 [00:26<00:38,  1.68s/it]
overall:  75%|███████▌  | 3012/4000 [1:17:09<27:08,  1.65s/it]

train:  41%|████      | 15/37 [00:27<00:36,  1.65s/it]
overall:  75%|███████▌  | 3013/4000 [1:17:11<26:47,  1.63s/it]

train:  43%|████▎     | 16/37 [00:29<00:34,  1.63s/it]
overall:  75%|███████▌  | 3014/4000 [1:17:12<26:18,  1.60s/it]

train:  46%|████▌     | 17/37 [00:30<00:32,  1.60s/it]
overall:  75%|███████▌  | 3015/4000 [1:17:14<26:04,  1.59s/it]

train:  49%|████▊     | 18/37 [00:32<00:30,  1.59s/it]
overall:  75%|███████▌  | 3016/4000 [1:17:15<25:46,  1.57s/it]

train:  51%|█████▏    | 19/37 [00:33<00:28,  1.57s/it]
overall:  75%|███████▌  | 3017/4000 [1:17:17<25:26,  1.55s/it]

train:  54%|█████▍    | 20/37 [00:35<00:26,  1.55s/it]
overall:  75%|███████▌  | 3018/4000 [1:17:18<25:18,  1.55s/it]

train:  57%|█████▋    | 21/37 [00:36<00:24,  1.55s/it]
overall:  75%|███████▌  | 3019/4000 [1:17:20<25:22,  1.55s/it]

train:  59%|█████▉    | 22/37 [00:38<00:23,  1.55s/it]
overall:  76%|███████▌  | 3020/4000 [1:17:22<25:18,  1.55s/it]

train:  62%|██████▏   | 23/37 [00:40<00:21,  1.55s/it]
overall:  76%|███████▌  | 3021/4000 [1:17:23<25:30,  1.56s/it]

train:  65%|██████▍   | 24/37 [00:41<00:20,  1.56s/it]
overall:  76%|███████▌  | 3022/4000 [1:17:25<26:12,  1.61s/it]

train:  68%|██████▊   | 25/37 [00:43<00:19,  1.61s/it]
overall:  76%|███████▌  | 3023/4000 [1:17:27<26:10,  1.61s/it]

train:  70%|███████   | 26/37 [00:45<00:17,  1.61s/it]
overall:  76%|███████▌  | 3024/4000 [1:17:28<26:23,  1.62s/it]

train:  73%|███████▎  | 27/37 [00:46<00:16,  1.62s/it]
overall:  76%|███████▌  | 3025/4000 [1:17:30<27:02,  1.66s/it]

train:  76%|███████▌  | 28/37 [00:48<00:14,  1.66s/it]
overall:  76%|███████▌  | 3026/4000 [1:17:32<26:49,  1.65s/it]

train:  78%|███████▊  | 29/37 [00:50<00:13,  1.65s/it]
overall:  76%|███████▌  | 3027/4000 [1:17:33<27:19,  1.68s/it]

train:  81%|████████  | 30/37 [00:51<00:11,  1.68s/it]
overall:  76%|███████▌  | 3028/4000 [1:17:35<26:51,  1.66s/it]

train:  84%|████████▍ | 31/37 [00:53<00:09,  1.66s/it]
overall:  76%|███████▌  | 3029/4000 [1:17:37<27:12,  1.68s/it]

train:  86%|████████▋ | 32/37 [00:55<00:08,  1.68s/it]
overall:  76%|███████▌  | 3030/4000 [1:17:38<26:58,  1.67s/it]

train:  89%|████████▉ | 33/37 [00:56<00:06,  1.67s/it]
overall:  76%|███████▌  | 3031/4000 [1:17:40<26:31,  1.64s/it]

train:  92%|█████████▏| 34/37 [00:58<00:04,  1.64s/it]
overall:  76%|███████▌  | 3032/4000 [1:17:41<26:16,  1.63s/it]

train:  95%|█████████▍| 35/37 [00:59<00:03,  1.63s/it]
overall:  76%|███████▌  | 3033/4000 [1:17:43<25:49,  1.60s/it]

train:  97%|█████████▋| 36/37 [01:01<00:01,  1.60s/it]
overall:  76%|███████▌  | 3034/4000 [1:17:44<24:35,  1.53s/it]

train: 100%|██████████| 37/37 [01:02<00:00,  1.53s/it]
train: 100%|██████████| 37/37 [01:02<00:00,  1.70s/it]
train loss: 0.5460028052330017
train acc: 0.8674089312553406
train loss: 0.4988834857940674
train acc: 0.8939999938011169
train loss: 0.5449088215827942
train acc: 0.8700000047683716
train loss: 0.5295497179031372
train acc: 0.890999972820282


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  76%|███████▌  | 3035/4000 [1:17:47<31:27,  1.96s/it]

train:   3%|▎         | 1/37 [00:02<01:41,  2.81s/it]
overall:  76%|███████▌  | 3036/4000 [1:17:49<29:26,  1.83s/it]

train:   5%|▌         | 2/37 [00:04<01:12,  2.07s/it]
overall:  76%|███████▌  | 3037/4000 [1:17:50<28:16,  1.76s/it]

train:   8%|▊         | 3/37 [00:05<01:02,  1.85s/it]
overall:  76%|███████▌  | 3038/4000 [1:17:52<27:18,  1.70s/it]

train:  11%|█         | 4/37 [00:07<00:57,  1.74s/it]
overall:  76%|███████▌  | 3039/4000 [1:17:54<26:48,  1.67s/it]

train:  14%|█▎        | 5/37 [00:09<00:54,  1.69s/it]
overall:  76%|███████▌  | 3040/4000 [1:17:55<26:42,  1.67s/it]

train:  16%|█▌        | 6/37 [00:10<00:52,  1.68s/it]
overall:  76%|███████▌  | 3041/4000 [1:17:57<26:20,  1.65s/it]

train:  19%|█▉        | 7/37 [00:12<00:49,  1.65s/it]
overall:  76%|███████▌  | 3042/4000 [1:17:58<25:54,  1.62s/it]

train:  22%|██▏       | 8/37 [00:13<00:47,  1.62s/it]
overall:  76%|███████▌  | 3043/4000 [1:18:00<25:50,  1.62s/it]

train:  24%|██▍       | 9/37 [00:15<00:45,  1.62s/it]
overall:  76%|███████▌  | 3044/4000 [1:18:02<25:33,  1.60s/it]

train:  27%|██▋       | 10/37 [00:17<00:43,  1.60s/it]
overall:  76%|███████▌  | 3045/4000 [1:18:03<25:18,  1.59s/it]

train:  30%|██▉       | 11/37 [00:18<00:41,  1.59s/it]
overall:  76%|███████▌  | 3046/4000 [1:18:05<25:12,  1.59s/it]

train:  32%|███▏      | 12/37 [00:20<00:39,  1.59s/it]
overall:  76%|███████▌  | 3047/4000 [1:18:07<26:17,  1.66s/it]

train:  35%|███▌      | 13/37 [00:22<00:39,  1.66s/it]
overall:  76%|███████▌  | 3048/4000 [1:18:08<25:44,  1.62s/it]

train:  38%|███▊      | 14/37 [00:23<00:37,  1.62s/it]
overall:  76%|███████▌  | 3049/4000 [1:18:10<25:36,  1.62s/it]

train:  41%|████      | 15/37 [00:25<00:35,  1.62s/it]
overall:  76%|███████▋  | 3050/4000 [1:18:11<25:25,  1.61s/it]

train:  43%|████▎     | 16/37 [00:26<00:33,  1.61s/it]
overall:  76%|███████▋  | 3051/4000 [1:18:13<25:09,  1.59s/it]

train:  46%|████▌     | 17/37 [00:28<00:31,  1.59s/it]
overall:  76%|███████▋  | 3052/4000 [1:18:14<25:06,  1.59s/it]

train:  49%|████▊     | 18/37 [00:29<00:30,  1.59s/it]
overall:  76%|███████▋  | 3053/4000 [1:18:16<25:25,  1.61s/it]

train:  51%|█████▏    | 19/37 [00:31<00:29,  1.61s/it]
overall:  76%|███████▋  | 3054/4000 [1:18:18<25:58,  1.65s/it]

train:  54%|█████▍    | 20/37 [00:33<00:28,  1.65s/it]
overall:  76%|███████▋  | 3055/4000 [1:18:19<25:46,  1.64s/it]

train:  57%|█████▋    | 21/37 [00:34<00:26,  1.64s/it]
overall:  76%|███████▋  | 3056/4000 [1:18:21<25:22,  1.61s/it]

train:  59%|█████▉    | 22/37 [00:36<00:24,  1.61s/it]
overall:  76%|███████▋  | 3057/4000 [1:18:23<25:26,  1.62s/it]

train:  62%|██████▏   | 23/37 [00:38<00:22,  1.62s/it]
overall:  76%|███████▋  | 3058/4000 [1:18:24<25:41,  1.64s/it]

train:  65%|██████▍   | 24/37 [00:39<00:21,  1.64s/it]
overall:  76%|███████▋  | 3059/4000 [1:18:26<25:46,  1.64s/it]

train:  68%|██████▊   | 25/37 [00:41<00:19,  1.64s/it]
overall:  76%|███████▋  | 3060/4000 [1:18:28<25:33,  1.63s/it]

train:  70%|███████   | 26/37 [00:43<00:17,  1.63s/it]
overall:  77%|███████▋  | 3061/4000 [1:18:29<25:44,  1.65s/it]

train:  73%|███████▎  | 27/37 [00:44<00:16,  1.65s/it]
overall:  77%|███████▋  | 3062/4000 [1:18:31<25:38,  1.64s/it]

train:  76%|███████▌  | 28/37 [00:46<00:14,  1.64s/it]
overall:  77%|███████▋  | 3063/4000 [1:18:32<25:22,  1.62s/it]

train:  78%|███████▊  | 29/37 [00:47<00:12,  1.62s/it]
overall:  77%|███████▋  | 3064/4000 [1:18:34<25:13,  1.62s/it]

train:  81%|████████  | 30/37 [00:49<00:11,  1.62s/it]
overall:  77%|███████▋  | 3065/4000 [1:18:36<25:01,  1.61s/it]

train:  84%|████████▍ | 31/37 [00:51<00:09,  1.61s/it]
overall:  77%|███████▋  | 3066/4000 [1:18:37<24:42,  1.59s/it]

train:  86%|████████▋ | 32/37 [00:52<00:07,  1.59s/it]
overall:  77%|███████▋  | 3067/4000 [1:18:39<24:26,  1.57s/it]

train:  89%|████████▉ | 33/37 [00:54<00:06,  1.57s/it]
overall:  77%|███████▋  | 3068/4000 [1:18:40<24:25,  1.57s/it]

train:  92%|█████████▏| 34/37 [00:55<00:04,  1.57s/it]
overall:  77%|███████▋  | 3069/4000 [1:18:42<24:22,  1.57s/it]

train:  95%|█████████▍| 35/37 [00:57<00:03,  1.57s/it]
overall:  77%|███████▋  | 3070/4000 [1:18:43<24:17,  1.57s/it]

train:  97%|█████████▋| 36/37 [00:58<00:01,  1.57s/it]
overall:  77%|███████▋  | 3071/4000 [1:18:45<23:19,  1.51s/it]

train: 100%|██████████| 37/37 [01:00<00:00,  1.51s/it]
train: 100%|██████████| 37/37 [01:00<00:00,  1.63s/it]
train loss: 0.5231632590293884
train acc: 0.8886639475822449
train loss: 0.5414816737174988
train acc: 0.8769999742507935
train loss: 0.5507410764694214
train acc: 0.8650000095367432
train loss: 0.48524928092956543
train acc: 0.8989999890327454


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  77%|███████▋  | 3072/4000 [1:18:47<28:38,  1.85s/it]

train:   3%|▎         | 1/37 [00:02<01:30,  2.53s/it]
overall:  77%|███████▋  | 3073/4000 [1:18:49<27:07,  1.76s/it]

train:   5%|▌         | 2/37 [00:04<01:07,  1.94s/it]
overall:  77%|███████▋  | 3074/4000 [1:18:51<26:00,  1.68s/it]

train:   8%|▊         | 3/37 [00:05<00:59,  1.75s/it]
overall:  77%|███████▋  | 3075/4000 [1:18:52<25:16,  1.64s/it]

train:  11%|█         | 4/37 [00:07<00:54,  1.66s/it]
overall:  77%|███████▋  | 3076/4000 [1:18:54<24:48,  1.61s/it]

train:  14%|█▎        | 5/37 [00:08<00:51,  1.62s/it]
overall:  77%|███████▋  | 3077/4000 [1:18:55<24:22,  1.58s/it]

train:  16%|█▌        | 6/37 [00:10<00:49,  1.59s/it]
overall:  77%|███████▋  | 3078/4000 [1:18:57<24:07,  1.57s/it]

train:  19%|█▉        | 7/37 [00:11<00:47,  1.57s/it]
overall:  77%|███████▋  | 3079/4000 [1:18:58<23:53,  1.56s/it]

train:  22%|██▏       | 8/37 [00:13<00:45,  1.56s/it]
overall:  77%|███████▋  | 3080/4000 [1:19:00<23:41,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  77%|███████▋  | 3081/4000 [1:19:01<23:35,  1.54s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.54s/it]
overall:  77%|███████▋  | 3082/4000 [1:19:03<23:28,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  77%|███████▋  | 3083/4000 [1:19:04<23:24,  1.53s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.53s/it]
overall:  77%|███████▋  | 3084/4000 [1:19:06<23:26,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.54s/it]
overall:  77%|███████▋  | 3085/4000 [1:19:07<23:25,  1.54s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.54s/it]
overall:  77%|███████▋  | 3086/4000 [1:19:09<23:17,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  77%|███████▋  | 3087/4000 [1:19:10<23:14,  1.53s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.53s/it]
overall:  77%|███████▋  | 3088/4000 [1:19:12<23:10,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  77%|███████▋  | 3089/4000 [1:19:13<23:08,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  77%|███████▋  | 3090/4000 [1:19:15<23:06,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:30<00:27,  1.52s/it]
overall:  77%|███████▋  | 3091/4000 [1:19:16<23:01,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  77%|███████▋  | 3092/4000 [1:19:18<23:01,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:33<00:24,  1.52s/it]
overall:  77%|███████▋  | 3093/4000 [1:19:20<22:59,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  77%|███████▋  | 3094/4000 [1:19:21<22:57,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:36<00:21,  1.52s/it]
overall:  77%|███████▋  | 3095/4000 [1:19:23<22:55,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  77%|███████▋  | 3096/4000 [1:19:24<22:55,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:39<00:18,  1.52s/it]
overall:  77%|███████▋  | 3097/4000 [1:19:26<22:53,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  77%|███████▋  | 3098/4000 [1:19:27<22:52,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:42<00:15,  1.52s/it]
overall:  77%|███████▋  | 3099/4000 [1:19:29<22:51,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  78%|███████▊  | 3100/4000 [1:19:30<22:56,  1.53s/it]

train:  78%|███████▊  | 29/37 [00:45<00:12,  1.53s/it]
overall:  78%|███████▊  | 3101/4000 [1:19:32<22:57,  1.53s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.53s/it]
overall:  78%|███████▊  | 3102/4000 [1:19:33<22:57,  1.53s/it]

train:  84%|████████▍ | 31/37 [00:48<00:09,  1.53s/it]
overall:  78%|███████▊  | 3103/4000 [1:19:35<22:52,  1.53s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.53s/it]
overall:  78%|███████▊  | 3104/4000 [1:19:36<22:47,  1.53s/it]

train:  89%|████████▉ | 33/37 [00:51<00:06,  1.53s/it]
overall:  78%|███████▊  | 3105/4000 [1:19:38<22:44,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  78%|███████▊  | 3106/4000 [1:19:39<22:41,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:54<00:03,  1.52s/it]
overall:  78%|███████▊  | 3107/4000 [1:19:41<22:38,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  78%|███████▊  | 3108/4000 [1:19:42<21:49,  1.47s/it]

train: 100%|██████████| 37/37 [00:57<00:00,  1.47s/it]
train: 100%|██████████| 37/37 [00:57<00:00,  1.55s/it]
train loss: 0.530836820602417
train acc: 0.8917003870010376
train loss: 0.5226477384567261
train acc: 0.8830000162124634
train loss: 0.5171008110046387
train acc: 0.8820000290870667


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  78%|███████▊  | 3109/4000 [1:19:45<26:17,  1.77s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.36s/it]
overall:  78%|███████▊  | 3110/4000 [1:19:46<25:08,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.87s/it]
overall:  78%|███████▊  | 3111/4000 [1:19:48<24:16,  1.64s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  78%|███████▊  | 3112/4000 [1:19:49<23:41,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  78%|███████▊  | 3113/4000 [1:19:51<23:18,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  78%|███████▊  | 3114/4000 [1:19:52<23:18,  1.58s/it]

train:  16%|█▌        | 6/37 [00:10<00:49,  1.59s/it]
overall:  78%|███████▊  | 3115/4000 [1:19:54<23:06,  1.57s/it]

train:  19%|█▉        | 7/37 [00:11<00:47,  1.57s/it]
overall:  78%|███████▊  | 3116/4000 [1:19:55<22:51,  1.55s/it]

train:  22%|██▏       | 8/37 [00:13<00:45,  1.55s/it]
overall:  78%|███████▊  | 3117/4000 [1:19:57<22:42,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  78%|███████▊  | 3118/4000 [1:19:58<22:33,  1.54s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.54s/it]
overall:  78%|███████▊  | 3119/4000 [1:20:00<22:27,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  78%|███████▊  | 3120/4000 [1:20:01<22:19,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.52s/it]
overall:  78%|███████▊  | 3121/4000 [1:20:03<22:21,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  78%|███████▊  | 3122/4000 [1:20:04<22:19,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  78%|███████▊  | 3123/4000 [1:20:06<22:15,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  78%|███████▊  | 3124/4000 [1:20:08<22:12,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  78%|███████▊  | 3125/4000 [1:20:09<22:12,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  78%|███████▊  | 3126/4000 [1:20:11<22:19,  1.53s/it]

train:  49%|████▊     | 18/37 [00:28<00:29,  1.53s/it]
overall:  78%|███████▊  | 3127/4000 [1:20:12<22:15,  1.53s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.53s/it]
overall:  78%|███████▊  | 3128/4000 [1:20:14<22:11,  1.53s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.53s/it]
overall:  78%|███████▊  | 3129/4000 [1:20:15<22:04,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  78%|███████▊  | 3130/4000 [1:20:17<22:02,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  78%|███████▊  | 3131/4000 [1:20:18<21:58,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  78%|███████▊  | 3132/4000 [1:20:20<21:56,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.52s/it]
overall:  78%|███████▊  | 3133/4000 [1:20:21<22:00,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  78%|███████▊  | 3134/4000 [1:20:23<21:54,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  78%|███████▊  | 3135/4000 [1:20:24<21:52,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  78%|███████▊  | 3136/4000 [1:20:26<21:50,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  78%|███████▊  | 3137/4000 [1:20:27<21:46,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  78%|███████▊  | 3138/4000 [1:20:29<21:50,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  78%|███████▊  | 3139/4000 [1:20:30<21:44,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:48<00:09,  1.52s/it]
overall:  78%|███████▊  | 3140/4000 [1:20:32<21:42,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  79%|███████▊  | 3141/4000 [1:20:33<21:42,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:51<00:06,  1.52s/it]
overall:  79%|███████▊  | 3142/4000 [1:20:35<21:41,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  79%|███████▊  | 3143/4000 [1:20:36<21:41,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:54<00:03,  1.52s/it]
overall:  79%|███████▊  | 3144/4000 [1:20:38<21:38,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.52s/it]
overall:  79%|███████▊  | 3145/4000 [1:20:39<20:49,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:57<00:00,  1.54s/it]
train loss: 0.5239338278770447
train acc: 0.8866396546363831
train loss: 0.48856717348098755
train acc: 0.8970000147819519
train loss: 0.5302584767341614
train acc: 0.8820000290870667
train loss: 0.5342336893081665
train acc: 0.8809999823570251


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  79%|███████▊  | 3146/4000 [1:20:42<25:26,  1.79s/it]

train:   3%|▎         | 1/37 [00:02<01:27,  2.43s/it]
overall:  79%|███████▊  | 3147/4000 [1:20:43<24:12,  1.70s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.88s/it]
overall:  79%|███████▊  | 3148/4000 [1:20:45<23:20,  1.64s/it]

train:   8%|▊         | 3/37 [00:05<00:58,  1.71s/it]
overall:  79%|███████▊  | 3149/4000 [1:20:46<22:45,  1.61s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  79%|███████▉  | 3150/4000 [1:20:48<22:21,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  79%|███████▉  | 3151/4000 [1:20:49<22:05,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  79%|███████▉  | 3152/4000 [1:20:51<21:52,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  79%|███████▉  | 3153/4000 [1:20:52<21:45,  1.54s/it]

train:  22%|██▏       | 8/37 [00:13<00:44,  1.54s/it]
overall:  79%|███████▉  | 3154/4000 [1:20:54<21:38,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  79%|███████▉  | 3155/4000 [1:20:55<21:32,  1.53s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.53s/it]
overall:  79%|███████▉  | 3156/4000 [1:20:57<21:33,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  79%|███████▉  | 3157/4000 [1:20:58<21:27,  1.53s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.53s/it]
overall:  79%|███████▉  | 3158/4000 [1:21:00<21:44,  1.55s/it]

train:  35%|███▌      | 13/37 [00:20<00:37,  1.55s/it]
overall:  79%|███████▉  | 3159/4000 [1:21:02<21:32,  1.54s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.54s/it]
overall:  79%|███████▉  | 3160/4000 [1:21:03<21:25,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  79%|███████▉  | 3161/4000 [1:21:05<21:17,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  79%|███████▉  | 3162/4000 [1:21:06<21:13,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  79%|███████▉  | 3163/4000 [1:21:08<21:07,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  79%|███████▉  | 3164/4000 [1:21:09<21:04,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  79%|███████▉  | 3165/4000 [1:21:11<21:03,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  79%|███████▉  | 3166/4000 [1:21:12<21:02,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  79%|███████▉  | 3167/4000 [1:21:14<20:58,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  79%|███████▉  | 3168/4000 [1:21:15<20:57,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  79%|███████▉  | 3169/4000 [1:21:17<20:54,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  79%|███████▉  | 3170/4000 [1:21:18<21:01,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  79%|███████▉  | 3171/4000 [1:21:20<20:56,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  79%|███████▉  | 3172/4000 [1:21:21<20:52,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  79%|███████▉  | 3173/4000 [1:21:23<20:50,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  79%|███████▉  | 3174/4000 [1:21:24<20:47,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  79%|███████▉  | 3175/4000 [1:21:26<20:42,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  79%|███████▉  | 3176/4000 [1:21:27<20:39,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.50s/it]
overall:  79%|███████▉  | 3177/4000 [1:21:29<20:37,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  79%|███████▉  | 3178/4000 [1:21:30<20:34,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.50s/it]
overall:  79%|███████▉  | 3179/4000 [1:21:32<20:32,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.50s/it]
overall:  80%|███████▉  | 3180/4000 [1:21:33<20:31,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  80%|███████▉  | 3181/4000 [1:21:35<20:34,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  80%|███████▉  | 3182/4000 [1:21:36<19:46,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.5435801148414612
train acc: 0.8684210777282715
train loss: 0.5376173257827759
train acc: 0.8820000290870667
train loss: 0.533517062664032
train acc: 0.8809999823570251
train loss: 0.48926782608032227
train acc: 0.8970000147819519


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  80%|███████▉  | 3183/4000 [1:21:38<23:32,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.27s/it]
overall:  80%|███████▉  | 3184/4000 [1:21:40<22:34,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  80%|███████▉  | 3185/4000 [1:21:42<21:59,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  80%|███████▉  | 3186/4000 [1:21:43<21:28,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  80%|███████▉  | 3187/4000 [1:21:45<21:06,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  80%|███████▉  | 3188/4000 [1:21:46<20:50,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  80%|███████▉  | 3189/4000 [1:21:48<20:43,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  80%|███████▉  | 3190/4000 [1:21:49<20:38,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  80%|███████▉  | 3191/4000 [1:21:51<20:36,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  80%|███████▉  | 3192/4000 [1:21:52<20:32,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  80%|███████▉  | 3193/4000 [1:21:54<20:28,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  80%|███████▉  | 3194/4000 [1:21:55<20:21,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  80%|███████▉  | 3195/4000 [1:21:57<20:35,  1.53s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  80%|███████▉  | 3196/4000 [1:21:58<20:24,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  80%|███████▉  | 3197/4000 [1:22:00<20:20,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  80%|███████▉  | 3198/4000 [1:22:01<20:12,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  80%|███████▉  | 3199/4000 [1:22:03<20:07,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  80%|████████  | 3200/4000 [1:22:04<20:03,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  80%|████████  | 3201/4000 [1:22:06<20:00,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  80%|████████  | 3202/4000 [1:22:07<19:55,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  80%|████████  | 3203/4000 [1:22:09<19:54,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.50s/it]
overall:  80%|████████  | 3204/4000 [1:22:10<19:51,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  80%|████████  | 3205/4000 [1:22:12<19:49,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.50s/it]
overall:  80%|████████  | 3206/4000 [1:22:13<19:47,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  80%|████████  | 3207/4000 [1:22:15<19:49,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.50s/it]
overall:  80%|████████  | 3208/4000 [1:22:16<19:44,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  80%|████████  | 3209/4000 [1:22:18<19:48,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  80%|████████  | 3210/4000 [1:22:19<19:45,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  80%|████████  | 3211/4000 [1:22:21<19:43,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:11,  1.50s/it]
overall:  80%|████████  | 3212/4000 [1:22:22<19:41,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  80%|████████  | 3213/4000 [1:22:24<19:39,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.50s/it]
overall:  80%|████████  | 3214/4000 [1:22:25<19:38,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  80%|████████  | 3215/4000 [1:22:27<19:36,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.50s/it]
overall:  80%|████████  | 3216/4000 [1:22:28<19:35,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  80%|████████  | 3217/4000 [1:22:30<19:30,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.50s/it]
overall:  80%|████████  | 3218/4000 [1:22:31<19:30,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  80%|████████  | 3219/4000 [1:22:32<18:45,  1.44s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 0.5282981991767883
train acc: 0.8927125334739685
train loss: 0.48680466413497925
train acc: 0.8920000195503235
train loss: 0.5429199934005737
train acc: 0.8840000033378601


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  80%|████████  | 3220/4000 [1:22:35<22:10,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.22s/it]
overall:  81%|████████  | 3221/4000 [1:22:36<21:21,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  81%|████████  | 3222/4000 [1:22:38<20:49,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  81%|████████  | 3223/4000 [1:22:39<20:24,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  81%|████████  | 3224/4000 [1:22:41<20:07,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  81%|████████  | 3225/4000 [1:22:42<19:55,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  81%|████████  | 3226/4000 [1:22:44<19:46,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  81%|████████  | 3227/4000 [1:22:45<19:37,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  81%|████████  | 3228/4000 [1:22:47<19:31,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  81%|████████  | 3229/4000 [1:22:48<19:25,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  81%|████████  | 3230/4000 [1:22:50<19:21,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  81%|████████  | 3231/4000 [1:22:51<19:22,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  81%|████████  | 3232/4000 [1:22:53<19:21,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  81%|████████  | 3233/4000 [1:22:54<19:19,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  81%|████████  | 3234/4000 [1:22:56<19:14,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  81%|████████  | 3235/4000 [1:22:57<19:15,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  81%|████████  | 3236/4000 [1:22:59<19:14,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  81%|████████  | 3237/4000 [1:23:00<19:17,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  81%|████████  | 3238/4000 [1:23:02<19:20,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  81%|████████  | 3239/4000 [1:23:03<19:17,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.52s/it]
overall:  81%|████████  | 3240/4000 [1:23:05<19:15,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  81%|████████  | 3241/4000 [1:23:06<19:09,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  81%|████████  | 3242/4000 [1:23:08<19:08,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  81%|████████  | 3243/4000 [1:23:10<19:07,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.52s/it]
overall:  81%|████████  | 3244/4000 [1:23:11<19:07,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  81%|████████  | 3245/4000 [1:23:13<19:06,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  81%|████████  | 3246/4000 [1:23:14<19:04,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  81%|████████  | 3247/4000 [1:23:16<19:03,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  81%|████████  | 3248/4000 [1:23:17<18:58,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  81%|████████  | 3249/4000 [1:23:19<18:54,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  81%|████████▏ | 3250/4000 [1:23:20<18:53,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  81%|████████▏ | 3251/4000 [1:23:22<18:53,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  81%|████████▏ | 3252/4000 [1:23:23<18:50,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  81%|████████▏ | 3253/4000 [1:23:25<18:45,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  81%|████████▏ | 3254/4000 [1:23:26<18:43,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  81%|████████▏ | 3255/4000 [1:23:28<18:43,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  81%|████████▏ | 3256/4000 [1:23:29<17:58,  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: 0.5084182620048523
train acc: 0.8846153616905212
train loss: 0.5107487440109253
train acc: 0.8920000195503235
train loss: 0.5310653448104858
train acc: 0.8790000081062317
train loss: 0.5154033899307251
train acc: 0.8840000033378601


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  81%|████████▏ | 3257/4000 [1:23:31<21:07,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  81%|████████▏ | 3258/4000 [1:23:33<20:24,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  81%|████████▏ | 3259/4000 [1:23:34<19:53,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  82%|████████▏ | 3260/4000 [1:23:36<19:33,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  82%|████████▏ | 3261/4000 [1:23:37<19:16,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  82%|████████▏ | 3262/4000 [1:23:39<19:03,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  82%|████████▏ | 3263/4000 [1:23:40<18:51,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  82%|████████▏ | 3264/4000 [1:23:42<18:42,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  82%|████████▏ | 3265/4000 [1:23:43<18:39,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  82%|████████▏ | 3266/4000 [1:23:45<18:33,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  82%|████████▏ | 3267/4000 [1:23:46<18:31,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  82%|████████▏ | 3268/4000 [1:23:48<18:26,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  82%|████████▏ | 3269/4000 [1:23:49<18:26,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  82%|████████▏ | 3270/4000 [1:23:51<18:27,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  82%|████████▏ | 3271/4000 [1:23:52<18:25,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  82%|████████▏ | 3272/4000 [1:23:54<18:24,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  82%|████████▏ | 3273/4000 [1:23:56<18:23,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  82%|████████▏ | 3274/4000 [1:23:57<18:22,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  82%|████████▏ | 3275/4000 [1:23:59<18:21,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  82%|████████▏ | 3276/4000 [1:24:00<18:19,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  82%|████████▏ | 3277/4000 [1:24:02<18:20,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  82%|████████▏ | 3278/4000 [1:24:03<18:15,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  82%|████████▏ | 3279/4000 [1:24:05<18:10,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  82%|████████▏ | 3280/4000 [1:24:06<18:07,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  82%|████████▏ | 3281/4000 [1:24:08<18:07,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  82%|████████▏ | 3282/4000 [1:24:09<18:06,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  82%|████████▏ | 3283/4000 [1:24:11<18:02,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  82%|████████▏ | 3284/4000 [1:24:12<17:59,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  82%|████████▏ | 3285/4000 [1:24:14<17:56,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  82%|████████▏ | 3286/4000 [1:24:15<17:55,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  82%|████████▏ | 3287/4000 [1:24:17<17:54,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  82%|████████▏ | 3288/4000 [1:24:18<17:51,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.50s/it]
overall:  82%|████████▏ | 3289/4000 [1:24:20<17:52,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  82%|████████▏ | 3290/4000 [1:24:21<17:50,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  82%|████████▏ | 3291/4000 [1:24:23<17:51,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  82%|████████▏ | 3292/4000 [1:24:24<17:49,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  82%|████████▏ | 3293/4000 [1:24:26<17:06,  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: 0.5078260898590088
train acc: 0.898785412311554
train loss: 0.5124873518943787
train acc: 0.9020000100135803
train loss: 0.5099122524261475
train acc: 0.8880000114440918
train loss: 0.5289786458015442
train acc: 0.8679999709129333


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  82%|████████▏ | 3294/4000 [1:24:28<20:34,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  82%|████████▏ | 3295/4000 [1:24:29<19:42,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  82%|████████▏ | 3296/4000 [1:24:31<19:05,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  82%|████████▏ | 3297/4000 [1:24:33<18:40,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  82%|████████▏ | 3298/4000 [1:24:34<18:25,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  82%|████████▏ | 3299/4000 [1:24:36<18:07,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  82%|████████▎ | 3300/4000 [1:24:37<17:56,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  83%|████████▎ | 3301/4000 [1:24:39<17:47,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  83%|████████▎ | 3302/4000 [1:24:40<17:43,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  83%|████████▎ | 3303/4000 [1:24:42<17:38,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  83%|████████▎ | 3304/4000 [1:24:43<17:35,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  83%|████████▎ | 3305/4000 [1:24:45<17:31,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  83%|████████▎ | 3306/4000 [1:24:46<17:29,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  83%|████████▎ | 3307/4000 [1:24:48<17:26,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  83%|████████▎ | 3308/4000 [1:24:49<17:31,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  83%|████████▎ | 3309/4000 [1:24:51<17:29,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  83%|████████▎ | 3310/4000 [1:24:52<17:29,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  83%|████████▎ | 3311/4000 [1:24:54<17:26,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  83%|████████▎ | 3312/4000 [1:24:55<17:21,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  83%|████████▎ | 3313/4000 [1:24:57<17:16,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  83%|████████▎ | 3314/4000 [1:24:58<17:17,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  83%|████████▎ | 3315/4000 [1:25:00<17:13,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  83%|████████▎ | 3316/4000 [1:25:01<17:09,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  83%|████████▎ | 3317/4000 [1:25:03<17:09,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  83%|████████▎ | 3318/4000 [1:25:04<17:10,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  83%|████████▎ | 3319/4000 [1:25:06<17:07,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  83%|████████▎ | 3320/4000 [1:25:07<17:09,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  83%|████████▎ | 3321/4000 [1:25:09<17:08,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  83%|████████▎ | 3322/4000 [1:25:10<17:07,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  83%|████████▎ | 3323/4000 [1:25:12<17:03,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  83%|████████▎ | 3324/4000 [1:25:13<17:02,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  83%|████████▎ | 3325/4000 [1:25:15<16:59,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  83%|████████▎ | 3326/4000 [1:25:16<16:58,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  83%|████████▎ | 3327/4000 [1:25:18<16:58,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  83%|████████▎ | 3328/4000 [1:25:19<16:54,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  83%|████████▎ | 3329/4000 [1:25:21<16:51,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  83%|████████▎ | 3330/4000 [1:25:22<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: 0.5338385105133057
train acc: 0.8815789222717285
train loss: 0.5211756229400635
train acc: 0.8859999775886536
train loss: 0.4938886761665344
train acc: 0.8949999809265137
train loss: 0.5186280012130737
train acc: 0.8785424828529358


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  83%|████████▎ | 3331/4000 [1:25:24<19:02,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  83%|████████▎ | 3332/4000 [1:25:26<18:24,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  83%|████████▎ | 3333/4000 [1:25:28<17:53,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  83%|████████▎ | 3334/4000 [1:25:29<17:30,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  83%|████████▎ | 3335/4000 [1:25:31<17:15,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  83%|████████▎ | 3336/4000 [1:25:32<17:03,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  83%|████████▎ | 3337/4000 [1:25:34<16:55,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  83%|████████▎ | 3338/4000 [1:25:35<16:49,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  83%|████████▎ | 3339/4000 [1:25:37<16:43,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  84%|████████▎ | 3340/4000 [1:25:38<16:38,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  84%|████████▎ | 3341/4000 [1:25:40<16:36,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  84%|████████▎ | 3342/4000 [1:25:41<16:33,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  84%|████████▎ | 3343/4000 [1:25:43<16:33,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  84%|████████▎ | 3344/4000 [1:25:44<16:30,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  84%|████████▎ | 3345/4000 [1:25:46<16:26,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  84%|████████▎ | 3346/4000 [1:25:47<16:23,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  84%|████████▎ | 3347/4000 [1:25:49<16:23,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  84%|████████▎ | 3348/4000 [1:25:50<16:21,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  84%|████████▎ | 3349/4000 [1:25:52<16:19,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  84%|████████▍ | 3350/4000 [1:25:53<16:20,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  84%|████████▍ | 3351/4000 [1:25:55<16:24,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  84%|████████▍ | 3352/4000 [1:25:56<16:24,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.52s/it]
overall:  84%|████████▍ | 3353/4000 [1:25:58<16:22,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  84%|████████▍ | 3354/4000 [1:25:59<16:19,  1.52s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.52s/it]
overall:  84%|████████▍ | 3355/4000 [1:26:01<16:20,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  84%|████████▍ | 3356/4000 [1:26:02<16:16,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:  84%|████████▍ | 3357/4000 [1:26:04<16:13,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  84%|████████▍ | 3358/4000 [1:26:05<16:13,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  84%|████████▍ | 3359/4000 [1:26:07<16:08,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  84%|████████▍ | 3360/4000 [1:26:08<16:05,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  84%|████████▍ | 3361/4000 [1:26:10<16:01,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  84%|████████▍ | 3362/4000 [1:26:11<16:00,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  84%|████████▍ | 3363/4000 [1:26:13<16:00,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  84%|████████▍ | 3364/4000 [1:26:14<15:57,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  84%|████████▍ | 3365/4000 [1:26:16<15:56,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  84%|████████▍ | 3366/4000 [1:26:17<15:54,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  84%|████████▍ | 3367/4000 [1:26:19<15:17,  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: 0.47774872183799744
train acc: 0.9020000100135803
train loss: 0.5249722003936768
train acc: 0.8870000243186951
train loss: 0.5299056172370911
train acc: 0.8880000114440918


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  84%|████████▍ | 3368/4000 [1:26:21<18:01,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.22s/it]
overall:  84%|████████▍ | 3369/4000 [1:26:22<17:23,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  84%|████████▍ | 3370/4000 [1:26:24<16:53,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  84%|████████▍ | 3371/4000 [1:26:25<16:31,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  84%|████████▍ | 3372/4000 [1:26:27<16:15,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  84%|████████▍ | 3373/4000 [1:26:28<16:03,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  84%|████████▍ | 3374/4000 [1:26:30<15:54,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  84%|████████▍ | 3375/4000 [1:26:31<15:48,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  84%|████████▍ | 3376/4000 [1:26:33<15:43,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.51s/it]
overall:  84%|████████▍ | 3377/4000 [1:26:34<15:40,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  84%|████████▍ | 3378/4000 [1:26:36<15:36,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  84%|████████▍ | 3379/4000 [1:26:37<15:34,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  84%|████████▍ | 3380/4000 [1:26:39<15:34,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  85%|████████▍ | 3381/4000 [1:26:41<15:31,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  85%|████████▍ | 3382/4000 [1:26:42<15:28,  1.50s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.50s/it]
overall:  85%|████████▍ | 3383/4000 [1:26:44<15:27,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  85%|████████▍ | 3384/4000 [1:26:45<15:28,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  85%|████████▍ | 3385/4000 [1:26:47<15:25,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  85%|████████▍ | 3386/4000 [1:26:48<15:25,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  85%|████████▍ | 3387/4000 [1:26:50<15:23,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  85%|████████▍ | 3388/4000 [1:26:51<15:21,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  85%|████████▍ | 3389/4000 [1:26:53<15:18,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  85%|████████▍ | 3390/4000 [1:26:54<15:17,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  85%|████████▍ | 3391/4000 [1:26:56<15:14,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  85%|████████▍ | 3392/4000 [1:26:57<15:15,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  85%|████████▍ | 3393/4000 [1:26:59<15:13,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  85%|████████▍ | 3394/4000 [1:27:00<15:11,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  85%|████████▍ | 3395/4000 [1:27:02<15:12,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  85%|████████▍ | 3396/4000 [1:27:03<15:13,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  85%|████████▍ | 3397/4000 [1:27:05<15:14,  1.52s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.52s/it]
overall:  85%|████████▍ | 3398/4000 [1:27:06<15:11,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  85%|████████▍ | 3399/4000 [1:27:08<15:08,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  85%|████████▌ | 3400/4000 [1:27:09<15:07,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  85%|████████▌ | 3401/4000 [1:27:11<15:10,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.52s/it]
overall:  85%|████████▌ | 3402/4000 [1:27:12<15:07,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  85%|████████▌ | 3403/4000 [1:27:14<15:04,  1.52s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.52s/it]
overall:  85%|████████▌ | 3404/4000 [1:27:15<14:28,  1.46s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.46s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 0.5096173286437988
train acc: 0.8886639475822449
train loss: 0.5193992853164673
train acc: 0.8840000033378601
train loss: 0.51361083984375
train acc: 0.8880000114440918
train loss: 0.5125669240951538
train acc: 0.8899999856948853


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  85%|████████▌ | 3405/4000 [1:27:17<17:25,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  85%|████████▌ | 3406/4000 [1:27:19<16:41,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  85%|████████▌ | 3407/4000 [1:27:21<16:07,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  85%|████████▌ | 3408/4000 [1:27:22<15:42,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  85%|████████▌ | 3409/4000 [1:27:24<15:23,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  85%|████████▌ | 3410/4000 [1:27:25<15:14,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  85%|████████▌ | 3411/4000 [1:27:27<15:03,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  85%|████████▌ | 3412/4000 [1:27:28<14:56,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  85%|████████▌ | 3413/4000 [1:27:30<14:50,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  85%|████████▌ | 3414/4000 [1:27:31<14:46,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  85%|████████▌ | 3415/4000 [1:27:33<14:43,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  85%|████████▌ | 3416/4000 [1:27:34<15:06,  1.55s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.55s/it]
overall:  85%|████████▌ | 3417/4000 [1:27:36<14:56,  1.54s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.54s/it]
overall:  85%|████████▌ | 3418/4000 [1:27:37<14:51,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  85%|████████▌ | 3419/4000 [1:27:39<14:44,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  86%|████████▌ | 3420/4000 [1:27:40<14:39,  1.52s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.52s/it]
overall:  86%|████████▌ | 3421/4000 [1:27:42<14:35,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  86%|████████▌ | 3422/4000 [1:27:43<14:31,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  86%|████████▌ | 3423/4000 [1:27:45<14:28,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  86%|████████▌ | 3424/4000 [1:27:46<14:28,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  86%|████████▌ | 3425/4000 [1:27:48<14:26,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  86%|████████▌ | 3426/4000 [1:27:49<14:22,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:  86%|████████▌ | 3427/4000 [1:27:51<14:21,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  86%|████████▌ | 3428/4000 [1:27:52<14:20,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  86%|████████▌ | 3429/4000 [1:27:54<14:19,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  86%|████████▌ | 3430/4000 [1:27:55<14:21,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  86%|████████▌ | 3431/4000 [1:27:57<14:17,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  86%|████████▌ | 3432/4000 [1:27:58<14:15,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  86%|████████▌ | 3433/4000 [1:28:00<14:15,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  86%|████████▌ | 3434/4000 [1:28:01<14:13,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  86%|████████▌ | 3435/4000 [1:28:03<14:12,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  86%|████████▌ | 3436/4000 [1:28:04<14:14,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  86%|████████▌ | 3437/4000 [1:28:06<14:12,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  86%|████████▌ | 3438/4000 [1:28:07<14:11,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  86%|████████▌ | 3439/4000 [1:28:09<14:22,  1.54s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.54s/it]
overall:  86%|████████▌ | 3440/4000 [1:28:10<14:16,  1.53s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.53s/it]
overall:  86%|████████▌ | 3441/4000 [1:28:12<13:38,  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: 0.5061061382293701
train acc: 0.8927125334739685
train loss: 0.5256333947181702
train acc: 0.8849999904632568
train loss: 0.5140894651412964
train acc: 0.8899999856948853
train loss: 0.489987313747406
train acc: 0.890999972820282


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  86%|████████▌ | 3442/4000 [1:28:14<16:14,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.29s/it]
overall:  86%|████████▌ | 3443/4000 [1:28:16<15:31,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  86%|████████▌ | 3444/4000 [1:28:17<15:00,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  86%|████████▌ | 3445/4000 [1:28:19<14:42,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  86%|████████▌ | 3446/4000 [1:28:20<14:25,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  86%|████████▌ | 3447/4000 [1:28:22<14:47,  1.61s/it]

train:  16%|█▌        | 6/37 [00:10<00:50,  1.62s/it]
overall:  86%|████████▌ | 3448/4000 [1:28:23<14:27,  1.57s/it]

train:  19%|█▉        | 7/37 [00:11<00:47,  1.58s/it]
overall:  86%|████████▌ | 3449/4000 [1:28:25<14:14,  1.55s/it]

train:  22%|██▏       | 8/37 [00:13<00:45,  1.55s/it]
overall:  86%|████████▋ | 3450/4000 [1:28:26<14:04,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  86%|████████▋ | 3451/4000 [1:28:28<13:57,  1.53s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.53s/it]
overall:  86%|████████▋ | 3452/4000 [1:28:29<13:57,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  86%|████████▋ | 3453/4000 [1:28:31<13:51,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:38,  1.52s/it]
overall:  86%|████████▋ | 3454/4000 [1:28:32<13:52,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  86%|████████▋ | 3455/4000 [1:28:34<13:53,  1.53s/it]

train:  38%|███▊      | 14/37 [00:22<00:35,  1.53s/it]
overall:  86%|████████▋ | 3456/4000 [1:28:36<13:48,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  86%|████████▋ | 3457/4000 [1:28:37<13:55,  1.54s/it]

train:  43%|████▎     | 16/37 [00:25<00:32,  1.54s/it]
overall:  86%|████████▋ | 3458/4000 [1:28:39<13:49,  1.53s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.53s/it]
overall:  86%|████████▋ | 3459/4000 [1:28:40<13:44,  1.52s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.52s/it]
overall:  86%|████████▋ | 3460/4000 [1:28:42<13:45,  1.53s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.53s/it]
overall:  87%|████████▋ | 3461/4000 [1:28:43<13:41,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  87%|████████▋ | 3462/4000 [1:28:45<13:36,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  87%|████████▋ | 3463/4000 [1:28:46<13:34,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.52s/it]
overall:  87%|████████▋ | 3464/4000 [1:28:48<13:31,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  87%|████████▋ | 3465/4000 [1:28:49<13:28,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  87%|████████▋ | 3466/4000 [1:28:51<13:29,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  87%|████████▋ | 3467/4000 [1:28:52<13:28,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  87%|████████▋ | 3468/4000 [1:28:54<13:27,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  87%|████████▋ | 3469/4000 [1:28:55<13:27,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  87%|████████▋ | 3470/4000 [1:28:57<13:24,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  87%|████████▋ | 3471/4000 [1:28:58<13:23,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  87%|████████▋ | 3472/4000 [1:29:00<13:18,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  87%|████████▋ | 3473/4000 [1:29:01<13:17,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  87%|████████▋ | 3474/4000 [1:29:03<13:15,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  87%|████████▋ | 3475/4000 [1:29:04<13:14,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  87%|████████▋ | 3476/4000 [1:29:06<13:14,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  87%|████████▋ | 3477/4000 [1:29:07<13:09,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  87%|████████▋ | 3478/4000 [1:29:09<12:40,  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: 0.5136717557907104
train acc: 0.8947368264198303
train loss: 0.516567587852478
train acc: 0.8830000162124634
train loss: 0.5068296194076538
train acc: 0.8840000033378601


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  87%|████████▋ | 3479/4000 [1:29:11<15:13,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  87%|████████▋ | 3480/4000 [1:29:13<14:32,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  87%|████████▋ | 3481/4000 [1:29:14<14:03,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.69s/it]
overall:  87%|████████▋ | 3482/4000 [1:29:16<13:42,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  87%|████████▋ | 3483/4000 [1:29:17<13:27,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  87%|████████▋ | 3484/4000 [1:29:19<13:15,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  87%|████████▋ | 3485/4000 [1:29:20<13:10,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  87%|████████▋ | 3486/4000 [1:29:22<13:03,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  87%|████████▋ | 3487/4000 [1:29:23<12:59,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  87%|████████▋ | 3488/4000 [1:29:25<12:56,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  87%|████████▋ | 3489/4000 [1:29:26<12:52,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  87%|████████▋ | 3490/4000 [1:29:28<12:49,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  87%|████████▋ | 3491/4000 [1:29:29<12:49,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  87%|████████▋ | 3492/4000 [1:29:31<12:48,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  87%|████████▋ | 3493/4000 [1:29:32<12:47,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  87%|████████▋ | 3494/4000 [1:29:34<12:44,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  87%|████████▋ | 3495/4000 [1:29:35<12:44,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  87%|████████▋ | 3496/4000 [1:29:37<12:41,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  87%|████████▋ | 3497/4000 [1:29:38<12:40,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  87%|████████▋ | 3498/4000 [1:29:40<12:36,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  87%|████████▋ | 3499/4000 [1:29:41<12:34,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  88%|████████▊ | 3500/4000 [1:29:43<12:32,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall:  88%|████████▊ | 3501/4000 [1:29:44<12:29,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  88%|████████▊ | 3502/4000 [1:29:46<12:28,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  88%|████████▊ | 3503/4000 [1:29:47<12:28,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  88%|████████▊ | 3504/4000 [1:29:49<12:28,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  88%|████████▊ | 3505/4000 [1:29:50<12:26,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  88%|████████▊ | 3506/4000 [1:29:52<12:23,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  88%|████████▊ | 3507/4000 [1:29:53<12:24,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  88%|████████▊ | 3508/4000 [1:29:55<12:24,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  88%|████████▊ | 3509/4000 [1:29:56<12:23,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  88%|████████▊ | 3510/4000 [1:29:58<12:20,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  88%|████████▊ | 3511/4000 [1:29:59<12:19,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  88%|████████▊ | 3512/4000 [1:30:01<12:16,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  88%|████████▊ | 3513/4000 [1:30:02<12:13,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  88%|████████▊ | 3514/4000 [1:30:04<12:13,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  88%|████████▊ | 3515/4000 [1:30:05<11:44,  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: 0.5151001214981079
train acc: 0.8896760940551758
train loss: 0.4892847537994385
train acc: 0.8970000147819519
train loss: 0.5169873833656311
train acc: 0.8849999904632568
train loss: 0.5343953371047974
train acc: 0.8809999823570251


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:30:08<14:08,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.36s/it]
overall:  88%|████████▊ | 3517/4000 [1:30:09<13:44,  1.71s/it]

train:   5%|▌         | 2/37 [00:03<01:06,  1.91s/it]
overall:  88%|████████▊ | 3518/4000 [1:30:11<13:13,  1.65s/it]

train:   8%|▊         | 3/37 [00:05<00:58,  1.72s/it]
overall:  88%|████████▊ | 3519/4000 [1:30:12<12:50,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.64s/it]
overall:  88%|████████▊ | 3520/4000 [1:30:14<12:34,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.59s/it]
overall:  88%|████████▊ | 3521/4000 [1:30:15<12:22,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  88%|████████▊ | 3522/4000 [1:30:17<12:15,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  88%|████████▊ | 3523/4000 [1:30:18<12:08,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  88%|████████▊ | 3524/4000 [1:30:20<12:03,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  88%|████████▊ | 3525/4000 [1:30:21<11:59,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  88%|████████▊ | 3526/4000 [1:30:23<11:56,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  88%|████████▊ | 3527/4000 [1:30:24<11:54,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  88%|████████▊ | 3528/4000 [1:30:26<11:52,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  88%|████████▊ | 3529/4000 [1:30:27<11:54,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  88%|████████▊ | 3530/4000 [1:30:29<11:51,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  88%|████████▊ | 3531/4000 [1:30:30<11:47,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  88%|████████▊ | 3532/4000 [1:30:32<11:44,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  88%|████████▊ | 3533/4000 [1:30:33<11:42,  1.50s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.50s/it]
overall:  88%|████████▊ | 3534/4000 [1:30:35<11:41,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  88%|████████▊ | 3535/4000 [1:30:36<11:40,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  88%|████████▊ | 3536/4000 [1:30:38<11:38,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  88%|████████▊ | 3537/4000 [1:30:39<11:37,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  88%|████████▊ | 3538/4000 [1:30:41<11:35,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  88%|████████▊ | 3539/4000 [1:30:42<11:33,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.50s/it]
overall:  88%|████████▊ | 3540/4000 [1:30:44<11:31,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  89%|████████▊ | 3541/4000 [1:30:45<11:34,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  89%|████████▊ | 3542/4000 [1:30:47<11:31,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  89%|████████▊ | 3543/4000 [1:30:48<11:31,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  89%|████████▊ | 3544/4000 [1:30:50<11:30,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  89%|████████▊ | 3545/4000 [1:30:52<11:29,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  89%|████████▊ | 3546/4000 [1:30:53<11:28,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  89%|████████▊ | 3547/4000 [1:30:55<11:25,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  89%|████████▊ | 3548/4000 [1:30:56<11:22,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  89%|████████▊ | 3549/4000 [1:30:58<11:19,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  89%|████████▉ | 3550/4000 [1:30:59<11:16,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  89%|████████▉ | 3551/4000 [1:31:01<11:14,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  89%|████████▉ | 3552/4000 [1:31:02<10:48,  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: 0.5053702592849731
train acc: 0.887651801109314
train loss: 0.5199372172355652
train acc: 0.8799999952316284
train loss: 0.4865410327911377
train acc: 0.9049999713897705
train loss: 0.5045974850654602
train acc: 0.8930000066757202


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  89%|████████▉ | 3553/4000 [1:31:04<13:13,  1.77s/it]

train:   3%|▎         | 1/37 [00:02<01:27,  2.42s/it]
overall:  89%|████████▉ | 3554/4000 [1:31:06<12:35,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.88s/it]
overall:  89%|████████▉ | 3555/4000 [1:31:07<12:08,  1.64s/it]

train:   8%|▊         | 3/37 [00:05<00:58,  1.71s/it]
overall:  89%|████████▉ | 3556/4000 [1:31:09<11:49,  1.60s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.63s/it]
overall:  89%|████████▉ | 3557/4000 [1:31:10<11:35,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  89%|████████▉ | 3558/4000 [1:31:12<11:24,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  89%|████████▉ | 3559/4000 [1:31:13<11:16,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  89%|████████▉ | 3560/4000 [1:31:15<11:11,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  89%|████████▉ | 3561/4000 [1:31:16<11:09,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  89%|████████▉ | 3562/4000 [1:31:18<11:05,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  89%|████████▉ | 3563/4000 [1:31:19<11:03,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  89%|████████▉ | 3564/4000 [1:31:21<10:59,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  89%|████████▉ | 3565/4000 [1:31:23<11:01,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  89%|████████▉ | 3566/4000 [1:31:24<10:57,  1.51s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  89%|████████▉ | 3567/4000 [1:31:26<10:54,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  89%|████████▉ | 3568/4000 [1:31:27<10:51,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  89%|████████▉ | 3569/4000 [1:31:29<10:48,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  89%|████████▉ | 3570/4000 [1:31:30<10:47,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  89%|████████▉ | 3571/4000 [1:31:32<10:45,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.50s/it]
overall:  89%|████████▉ | 3572/4000 [1:31:33<10:44,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  89%|████████▉ | 3573/4000 [1:31:35<10:42,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.50s/it]
overall:  89%|████████▉ | 3574/4000 [1:31:36<10:40,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.50s/it]
overall:  89%|████████▉ | 3575/4000 [1:31:38<10:40,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  89%|████████▉ | 3576/4000 [1:31:39<10:38,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  89%|████████▉ | 3577/4000 [1:31:41<10:42,  1.52s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.52s/it]
overall:  89%|████████▉ | 3578/4000 [1:31:42<10:39,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  89%|████████▉ | 3579/4000 [1:31:44<10:36,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  90%|████████▉ | 3580/4000 [1:31:45<10:34,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  90%|████████▉ | 3581/4000 [1:31:47<10:33,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  90%|████████▉ | 3582/4000 [1:31:48<10:33,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  90%|████████▉ | 3583/4000 [1:31:50<10:31,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  90%|████████▉ | 3584/4000 [1:31:51<10:28,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  90%|████████▉ | 3585/4000 [1:31:53<10:25,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  90%|████████▉ | 3586/4000 [1:31:54<10:25,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  90%|████████▉ | 3587/4000 [1:31:56<10:22,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  90%|████████▉ | 3588/4000 [1:31:57<10:19,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.50s/it]
overall:  90%|████████▉ | 3589/4000 [1:31:58<09:55,  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: 0.4844542145729065
train acc: 0.8947368264198303
train loss: 0.4866451621055603
train acc: 0.9049999713897705
train loss: 0.5124581456184387
train acc: 0.8880000114440918


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  90%|████████▉ | 3590/4000 [1:32:01<12:02,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.38s/it]
overall:  90%|████████▉ | 3591/4000 [1:32:03<11:31,  1.69s/it]

train:   5%|▌         | 2/37 [00:03<01:05,  1.88s/it]
overall:  90%|████████▉ | 3592/4000 [1:32:04<11:06,  1.63s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.70s/it]
overall:  90%|████████▉ | 3593/4000 [1:32:06<10:48,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  90%|████████▉ | 3594/4000 [1:32:07<10:35,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  90%|████████▉ | 3595/4000 [1:32:09<10:27,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  90%|████████▉ | 3596/4000 [1:32:10<10:20,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  90%|████████▉ | 3597/4000 [1:32:12<10:15,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  90%|████████▉ | 3598/4000 [1:32:13<10:11,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  90%|████████▉ | 3599/4000 [1:32:15<10:08,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.52s/it]
overall:  90%|█████████ | 3600/4000 [1:32:16<10:05,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  90%|█████████ | 3601/4000 [1:32:18<10:03,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  90%|█████████ | 3602/4000 [1:32:19<10:03,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  90%|█████████ | 3603/4000 [1:32:21<10:02,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  90%|█████████ | 3604/4000 [1:32:22<09:59,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  90%|█████████ | 3605/4000 [1:32:24<09:57,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  90%|█████████ | 3606/4000 [1:32:25<09:55,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  90%|█████████ | 3607/4000 [1:32:27<09:54,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  90%|█████████ | 3608/4000 [1:32:28<09:51,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  90%|█████████ | 3609/4000 [1:32:30<09:50,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  90%|█████████ | 3610/4000 [1:32:31<09:48,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  90%|█████████ | 3611/4000 [1:32:33<09:45,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  90%|█████████ | 3612/4000 [1:32:34<09:45,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  90%|█████████ | 3613/4000 [1:32:36<09:43,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  90%|█████████ | 3614/4000 [1:32:37<09:43,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  90%|█████████ | 3615/4000 [1:32:39<09:41,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  90%|█████████ | 3616/4000 [1:32:40<09:39,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  90%|█████████ | 3617/4000 [1:32:42<09:37,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  90%|█████████ | 3618/4000 [1:32:43<09:34,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.50s/it]
overall:  90%|█████████ | 3619/4000 [1:32:45<09:34,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  90%|█████████ | 3620/4000 [1:32:46<09:34,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  91%|█████████ | 3621/4000 [1:32:48<09:35,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  91%|█████████ | 3622/4000 [1:32:49<09:32,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  91%|█████████ | 3623/4000 [1:32:51<09:29,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  91%|█████████ | 3624/4000 [1:32:52<09:27,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  91%|█████████ | 3625/4000 [1:32:54<09:25,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  91%|█████████ | 3626/4000 [1:32:55<09:03,  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: 0.5350958704948425
train acc: 0.876518189907074
train loss: 0.515644907951355
train acc: 0.8880000114440918
train loss: 0.4724380373954773
train acc: 0.9010000228881836
train loss: 0.5211350917816162
train acc: 0.8759999871253967


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  91%|█████████ | 3627/4000 [1:32:57<10:40,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  91%|█████████ | 3628/4000 [1:32:59<10:15,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  91%|█████████ | 3629/4000 [1:33:00<09:58,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  91%|█████████ | 3630/4000 [1:33:02<09:47,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  91%|█████████ | 3631/4000 [1:33:04<09:37,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  91%|█████████ | 3632/4000 [1:33:05<09:28,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  91%|█████████ | 3633/4000 [1:33:07<09:23,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  91%|█████████ | 3634/4000 [1:33:08<09:20,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  91%|█████████ | 3635/4000 [1:33:10<09:15,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  91%|█████████ | 3636/4000 [1:33:11<09:13,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  91%|█████████ | 3637/4000 [1:33:13<09:09,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  91%|█████████ | 3638/4000 [1:33:14<09:07,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  91%|█████████ | 3639/4000 [1:33:16<09:06,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  91%|█████████ | 3640/4000 [1:33:17<09:03,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  91%|█████████ | 3641/4000 [1:33:19<09:02,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  91%|█████████ | 3642/4000 [1:33:20<09:02,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  91%|█████████ | 3643/4000 [1:33:22<09:01,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  91%|█████████ | 3644/4000 [1:33:23<08:58,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  91%|█████████ | 3645/4000 [1:33:25<08:55,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  91%|█████████ | 3646/4000 [1:33:26<08:54,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  91%|█████████ | 3647/4000 [1:33:28<08:52,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  91%|█████████ | 3648/4000 [1:33:29<08:49,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  91%|█████████ | 3649/4000 [1:33:31<08:47,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  91%|█████████▏| 3650/4000 [1:33:32<08:46,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall:  91%|█████████▏| 3651/4000 [1:33:34<08:45,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  91%|█████████▏| 3652/4000 [1:33:35<08:43,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  91%|█████████▏| 3653/4000 [1:33:37<08:42,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  91%|█████████▏| 3654/4000 [1:33:38<08:43,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  91%|█████████▏| 3655/4000 [1:33:40<08:40,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  91%|█████████▏| 3656/4000 [1:33:41<08:39,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  91%|█████████▏| 3657/4000 [1:33:43<08:37,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  91%|█████████▏| 3658/4000 [1:33:44<08:37,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  91%|█████████▏| 3659/4000 [1:33:46<08:34,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  92%|█████████▏| 3660/4000 [1:33:47<08:32,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  92%|█████████▏| 3661/4000 [1:33:49<08:29,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.50s/it]
overall:  92%|█████████▏| 3662/4000 [1:33:50<08:29,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  92%|█████████▏| 3663/4000 [1:33:52<08:09,  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: 0.5302232503890991
train acc: 0.8927125334739685
train loss: 0.5191587209701538
train acc: 0.8820000290870667
train loss: 0.508072018623352
train acc: 0.8859999775886536
train loss: 0.4851551055908203
train acc: 0.9089999794960022


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  92%|█████████▏| 3664/4000 [1:33:54<09:35,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  92%|█████████▏| 3665/4000 [1:33:55<09:15,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  92%|█████████▏| 3666/4000 [1:33:57<09:00,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  92%|█████████▏| 3667/4000 [1:33:59<08:48,  1.59s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.62s/it]
overall:  92%|█████████▏| 3668/4000 [1:34:00<08:39,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  92%|█████████▏| 3669/4000 [1:34:02<08:32,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  92%|█████████▏| 3670/4000 [1:34:03<08:27,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  92%|█████████▏| 3671/4000 [1:34:05<08:28,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.55s/it]
overall:  92%|█████████▏| 3672/4000 [1:34:06<08:23,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  92%|█████████▏| 3673/4000 [1:34:08<08:19,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  92%|█████████▏| 3674/4000 [1:34:09<08:16,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  92%|█████████▏| 3675/4000 [1:34:11<08:13,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  92%|█████████▏| 3676/4000 [1:34:12<08:13,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  92%|█████████▏| 3677/4000 [1:34:14<08:09,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  92%|█████████▏| 3678/4000 [1:34:15<08:08,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  92%|█████████▏| 3679/4000 [1:34:17<08:07,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  92%|█████████▏| 3680/4000 [1:34:18<08:04,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  92%|█████████▏| 3681/4000 [1:34:20<08:02,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  92%|█████████▏| 3682/4000 [1:34:21<08:02,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  92%|█████████▏| 3683/4000 [1:34:23<08:01,  1.52s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.52s/it]
overall:  92%|█████████▏| 3684/4000 [1:34:24<07:57,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  92%|█████████▏| 3685/4000 [1:34:26<07:57,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  92%|█████████▏| 3686/4000 [1:34:27<07:55,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  92%|█████████▏| 3687/4000 [1:34:29<07:53,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  92%|█████████▏| 3688/4000 [1:34:30<07:52,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  92%|█████████▏| 3689/4000 [1:34:32<07:49,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  92%|█████████▏| 3690/4000 [1:34:33<07:48,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  92%|█████████▏| 3691/4000 [1:34:35<07:47,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  92%|█████████▏| 3692/4000 [1:34:36<07:45,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  92%|█████████▏| 3693/4000 [1:34:38<07:43,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  92%|█████████▏| 3694/4000 [1:34:39<07:42,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  92%|█████████▏| 3695/4000 [1:34:41<07:41,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  92%|█████████▏| 3696/4000 [1:34:42<07:38,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  92%|█████████▏| 3697/4000 [1:34:44<07:37,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  92%|█████████▏| 3698/4000 [1:34:45<07:35,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  92%|█████████▏| 3699/4000 [1:34:47<07:33,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  92%|█████████▎| 3700/4000 [1:34:48<07:15,  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: 0.5070856809616089
train acc: 0.8927125334739685
train loss: 0.4867487847805023
train acc: 0.9049999713897705
train loss: 0.489057719707489
train acc: 0.8949999809265137
train loss: 0.5210509896278381
train acc: 0.8744939565658569


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  93%|█████████▎| 3701/4000 [1:34:51<08:31,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  93%|█████████▎| 3702/4000 [1:34:52<08:11,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  93%|█████████▎| 3703/4000 [1:34:54<07:57,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  93%|█████████▎| 3704/4000 [1:34:55<07:47,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  93%|█████████▎| 3705/4000 [1:34:57<07:42,  1.57s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  93%|█████████▎| 3706/4000 [1:34:58<07:35,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.56s/it]
overall:  93%|█████████▎| 3707/4000 [1:35:00<07:30,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  93%|█████████▎| 3708/4000 [1:35:01<07:31,  1.55s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.55s/it]
overall:  93%|█████████▎| 3709/4000 [1:35:03<07:27,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  93%|█████████▎| 3710/4000 [1:35:04<07:24,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  93%|█████████▎| 3711/4000 [1:35:06<07:21,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  93%|█████████▎| 3712/4000 [1:35:07<07:17,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  93%|█████████▎| 3713/4000 [1:35:09<07:17,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.53s/it]
overall:  93%|█████████▎| 3714/4000 [1:35:10<07:14,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  93%|█████████▎| 3715/4000 [1:35:12<07:11,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  93%|█████████▎| 3716/4000 [1:35:13<07:09,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  93%|█████████▎| 3717/4000 [1:35:15<07:07,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  93%|█████████▎| 3718/4000 [1:35:16<07:06,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  93%|█████████▎| 3719/4000 [1:35:18<07:03,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  93%|█████████▎| 3720/4000 [1:35:19<07:04,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  93%|█████████▎| 3721/4000 [1:35:21<07:02,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  93%|█████████▎| 3722/4000 [1:35:22<06:59,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  93%|█████████▎| 3723/4000 [1:35:24<06:57,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  93%|█████████▎| 3724/4000 [1:35:25<06:57,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  93%|█████████▎| 3725/4000 [1:35:27<06:56,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  93%|█████████▎| 3726/4000 [1:35:28<06:53,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  93%|█████████▎| 3727/4000 [1:35:30<06:51,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  93%|█████████▎| 3728/4000 [1:35:31<06:49,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.50s/it]
overall:  93%|█████████▎| 3729/4000 [1:35:33<06:47,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  93%|█████████▎| 3730/4000 [1:35:34<06:47,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  93%|█████████▎| 3731/4000 [1:35:36<06:46,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  93%|█████████▎| 3732/4000 [1:35:38<06:45,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  93%|█████████▎| 3733/4000 [1:35:39<06:44,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  93%|█████████▎| 3734/4000 [1:35:41<06:41,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  93%|█████████▎| 3735/4000 [1:35:42<06:40,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  93%|█████████▎| 3736/4000 [1:35:44<06:38,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  93%|█████████▎| 3737/4000 [1:35:45<06:21,  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: 0.5152098536491394
train acc: 0.8870000243186951
train loss: 0.4935034215450287
train acc: 0.8980000019073486
train loss: 0.5104033350944519
train acc: 0.8880000114440918


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  93%|█████████▎| 3738/4000 [1:35:47<07:30,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  93%|█████████▎| 3739/4000 [1:35:49<07:11,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  94%|█████████▎| 3740/4000 [1:35:50<06:59,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  94%|█████████▎| 3741/4000 [1:35:52<06:50,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  94%|█████████▎| 3742/4000 [1:35:53<06:43,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.58s/it]
overall:  94%|█████████▎| 3743/4000 [1:35:55<06:37,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  94%|█████████▎| 3744/4000 [1:35:56<06:34,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  94%|█████████▎| 3745/4000 [1:35:58<06:32,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  94%|█████████▎| 3746/4000 [1:35:59<06:29,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  94%|█████████▎| 3747/4000 [1:36:01<06:26,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  94%|█████████▎| 3748/4000 [1:36:02<06:24,  1.53s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  94%|█████████▎| 3749/4000 [1:36:04<06:22,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  94%|█████████▍| 3750/4000 [1:36:05<06:20,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  94%|█████████▍| 3751/4000 [1:36:07<06:18,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.52s/it]
overall:  94%|█████████▍| 3752/4000 [1:36:08<06:15,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  94%|█████████▍| 3753/4000 [1:36:10<06:13,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  94%|█████████▍| 3754/4000 [1:36:11<06:11,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  94%|█████████▍| 3755/4000 [1:36:13<06:09,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  94%|█████████▍| 3756/4000 [1:36:14<06:09,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  94%|█████████▍| 3757/4000 [1:36:16<06:07,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  94%|█████████▍| 3758/4000 [1:36:17<06:05,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  94%|█████████▍| 3759/4000 [1:36:19<06:04,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  94%|█████████▍| 3760/4000 [1:36:21<06:02,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  94%|█████████▍| 3761/4000 [1:36:22<06:00,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  94%|█████████▍| 3762/4000 [1:36:24<05:59,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  94%|█████████▍| 3763/4000 [1:36:25<05:58,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  94%|█████████▍| 3764/4000 [1:36:27<05:57,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  94%|█████████▍| 3765/4000 [1:36:28<05:55,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  94%|█████████▍| 3766/4000 [1:36:30<05:52,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  94%|█████████▍| 3767/4000 [1:36:31<05:52,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  94%|█████████▍| 3768/4000 [1:36:33<05:50,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  94%|█████████▍| 3769/4000 [1:36:34<05:48,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  94%|█████████▍| 3770/4000 [1:36:36<05:47,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  94%|█████████▍| 3771/4000 [1:36:37<05:46,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  94%|█████████▍| 3772/4000 [1:36:39<05:45,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  94%|█████████▍| 3773/4000 [1:36:40<05:42,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  94%|█████████▍| 3774/4000 [1:36:41<05:27,  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: 0.48501133918762207
train acc: 0.8917003870010376
train loss: 0.4919285178184509
train acc: 0.8920000195503235
train loss: 0.5280859470367432
train acc: 0.890999972820282
train loss: 0.494302362203598
train acc: 0.8920000195503235


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  94%|█████████▍| 3775/4000 [1:36:44<06:44,  1.80s/it]

train:   3%|▎         | 1/37 [00:02<01:30,  2.51s/it]
overall:  94%|█████████▍| 3776/4000 [1:36:46<06:23,  1.71s/it]

train:   5%|▌         | 2/37 [00:04<01:07,  1.92s/it]
overall:  94%|█████████▍| 3777/4000 [1:36:47<06:09,  1.66s/it]

train:   8%|▊         | 3/37 [00:05<00:59,  1.74s/it]
overall:  94%|█████████▍| 3778/4000 [1:36:49<05:58,  1.62s/it]

train:  11%|█         | 4/37 [00:07<00:54,  1.65s/it]
overall:  94%|█████████▍| 3779/4000 [1:36:50<05:49,  1.58s/it]

train:  14%|█▎        | 5/37 [00:08<00:51,  1.60s/it]
overall:  94%|█████████▍| 3780/4000 [1:36:52<05:43,  1.56s/it]

train:  16%|█▌        | 6/37 [00:10<00:48,  1.57s/it]
overall:  95%|█████████▍| 3781/4000 [1:36:53<05:38,  1.54s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  95%|█████████▍| 3782/4000 [1:36:55<05:34,  1.53s/it]

train:  22%|██▏       | 8/37 [00:13<00:44,  1.53s/it]
overall:  95%|█████████▍| 3783/4000 [1:36:56<05:33,  1.54s/it]

train:  24%|██▍       | 9/37 [00:14<00:43,  1.54s/it]
overall:  95%|█████████▍| 3784/4000 [1:36:58<05:30,  1.53s/it]

train:  27%|██▋       | 10/37 [00:16<00:41,  1.53s/it]
overall:  95%|█████████▍| 3785/4000 [1:36:59<05:27,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  95%|█████████▍| 3786/4000 [1:37:01<05:24,  1.52s/it]

train:  32%|███▏      | 12/37 [00:19<00:37,  1.52s/it]
overall:  95%|█████████▍| 3787/4000 [1:37:02<05:22,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  95%|█████████▍| 3788/4000 [1:37:04<05:21,  1.52s/it]

train:  38%|███▊      | 14/37 [00:22<00:34,  1.52s/it]
overall:  95%|█████████▍| 3789/4000 [1:37:05<05:19,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  95%|█████████▍| 3790/4000 [1:37:07<05:18,  1.51s/it]

train:  43%|████▎     | 16/37 [00:25<00:31,  1.51s/it]
overall:  95%|█████████▍| 3791/4000 [1:37:08<05:15,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  95%|█████████▍| 3792/4000 [1:37:10<05:13,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  95%|█████████▍| 3793/4000 [1:37:11<05:11,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  95%|█████████▍| 3794/4000 [1:37:13<05:10,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  95%|█████████▍| 3795/4000 [1:37:14<05:10,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  95%|█████████▍| 3796/4000 [1:37:16<05:08,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  95%|█████████▍| 3797/4000 [1:37:17<05:06,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  95%|█████████▍| 3798/4000 [1:37:19<05:04,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  95%|█████████▍| 3799/4000 [1:37:20<05:03,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  95%|█████████▌| 3800/4000 [1:37:22<05:02,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  95%|█████████▌| 3801/4000 [1:37:23<05:00,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  95%|█████████▌| 3802/4000 [1:37:25<04:59,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  95%|█████████▌| 3803/4000 [1:37:26<04:58,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  95%|█████████▌| 3804/4000 [1:37:28<04:57,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  95%|█████████▌| 3805/4000 [1:37:29<04:54,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  95%|█████████▌| 3806/4000 [1:37:31<04:53,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  95%|█████████▌| 3807/4000 [1:37:32<04:51,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  95%|█████████▌| 3808/4000 [1:37:34<04:49,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  95%|█████████▌| 3809/4000 [1:37:35<04:47,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  95%|█████████▌| 3810/4000 [1:37:37<04:46,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  95%|█████████▌| 3811/4000 [1:37:38<04:34,  1.45s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.45s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.54s/it]
train loss: 0.5015072822570801
train acc: 0.8947368264198303
train loss: 0.5096545219421387
train acc: 0.8930000066757202
train loss: 0.5046117305755615
train acc: 0.8870000243186951
train loss: 0.4861018657684326
train acc: 0.9020000100135803


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  95%|█████████▌| 3812/4000 [1:37:41<05:22,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  95%|█████████▌| 3813/4000 [1:37:42<05:09,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  95%|█████████▌| 3814/4000 [1:37:44<04:59,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  95%|█████████▌| 3815/4000 [1:37:45<04:51,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  95%|█████████▌| 3816/4000 [1:37:47<04:46,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  95%|█████████▌| 3817/4000 [1:37:48<04:42,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.55s/it]
overall:  95%|█████████▌| 3818/4000 [1:37:50<04:38,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.53s/it]
overall:  95%|█████████▌| 3819/4000 [1:37:51<04:34,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  96%|█████████▌| 3820/4000 [1:37:53<04:32,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.51s/it]
overall:  96%|█████████▌| 3821/4000 [1:37:54<04:30,  1.51s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.51s/it]
overall:  96%|█████████▌| 3822/4000 [1:37:56<04:28,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  96%|█████████▌| 3823/4000 [1:37:57<04:27,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  96%|█████████▌| 3824/4000 [1:37:59<04:25,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  96%|█████████▌| 3825/4000 [1:38:00<04:23,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  96%|█████████▌| 3826/4000 [1:38:02<04:22,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  96%|█████████▌| 3827/4000 [1:38:03<04:20,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  96%|█████████▌| 3828/4000 [1:38:05<04:20,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  96%|█████████▌| 3829/4000 [1:38:06<04:18,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  96%|█████████▌| 3830/4000 [1:38:08<04:17,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  96%|█████████▌| 3831/4000 [1:38:09<04:15,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  96%|█████████▌| 3832/4000 [1:38:11<04:13,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  96%|█████████▌| 3833/4000 [1:38:12<04:12,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.51s/it]
overall:  96%|█████████▌| 3834/4000 [1:38:14<04:10,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  96%|█████████▌| 3835/4000 [1:38:15<04:08,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  96%|█████████▌| 3836/4000 [1:38:17<04:07,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  96%|█████████▌| 3837/4000 [1:38:18<04:05,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  96%|█████████▌| 3838/4000 [1:38:20<04:03,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  96%|█████████▌| 3839/4000 [1:38:21<04:02,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  96%|█████████▌| 3840/4000 [1:38:23<04:02,  1.52s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.52s/it]
overall:  96%|█████████▌| 3841/4000 [1:38:24<04:01,  1.52s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.52s/it]
overall:  96%|█████████▌| 3842/4000 [1:38:26<03:59,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  96%|█████████▌| 3843/4000 [1:38:27<03:59,  1.53s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.53s/it]
overall:  96%|█████████▌| 3844/4000 [1:38:29<03:57,  1.52s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.52s/it]
overall:  96%|█████████▌| 3845/4000 [1:38:31<03:55,  1.52s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.52s/it]
overall:  96%|█████████▌| 3846/4000 [1:38:32<03:53,  1.52s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.52s/it]
overall:  96%|█████████▌| 3847/4000 [1:38:34<03:51,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  96%|█████████▌| 3848/4000 [1:38:35<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: 0.5304511785507202
train acc: 0.8755060434341431
train loss: 0.5099272727966309
train acc: 0.8949999809265137
train loss: 0.5068342089653015
train acc: 0.8880000114440918


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  96%|█████████▌| 3849/4000 [1:38:37<04:20,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  96%|█████████▋| 3850/4000 [1:38:39<04:08,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  96%|█████████▋| 3851/4000 [1:38:40<04:00,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  96%|█████████▋| 3852/4000 [1:38:42<03:53,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  96%|█████████▋| 3853/4000 [1:38:43<03:48,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  96%|█████████▋| 3854/4000 [1:38:45<03:44,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  96%|█████████▋| 3855/4000 [1:38:46<03:42,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  96%|█████████▋| 3856/4000 [1:38:48<03:40,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  96%|█████████▋| 3857/4000 [1:38:49<03:38,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  96%|█████████▋| 3858/4000 [1:38:51<03:36,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  96%|█████████▋| 3859/4000 [1:38:52<03:34,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  96%|█████████▋| 3860/4000 [1:38:54<03:32,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.52s/it]
overall:  97%|█████████▋| 3861/4000 [1:38:55<03:31,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  97%|█████████▋| 3862/4000 [1:38:57<03:29,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  97%|█████████▋| 3863/4000 [1:38:58<03:28,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  97%|█████████▋| 3864/4000 [1:39:00<03:26,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  97%|█████████▋| 3865/4000 [1:39:01<03:24,  1.52s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.52s/it]
overall:  97%|█████████▋| 3866/4000 [1:39:03<03:23,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  97%|█████████▋| 3867/4000 [1:39:04<03:21,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  97%|█████████▋| 3868/4000 [1:39:06<03:19,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  97%|█████████▋| 3869/4000 [1:39:07<03:18,  1.52s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  97%|█████████▋| 3870/4000 [1:39:09<03:16,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  97%|█████████▋| 3871/4000 [1:39:10<03:14,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  97%|█████████▋| 3872/4000 [1:39:12<03:12,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  97%|█████████▋| 3873/4000 [1:39:13<03:12,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  97%|█████████▋| 3874/4000 [1:39:15<03:11,  1.52s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.52s/it]
overall:  97%|█████████▋| 3875/4000 [1:39:17<03:09,  1.52s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.52s/it]
overall:  97%|█████████▋| 3876/4000 [1:39:18<03:07,  1.52s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.52s/it]
overall:  97%|█████████▋| 3877/4000 [1:39:20<03:06,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  97%|█████████▋| 3878/4000 [1:39:21<03:04,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  97%|█████████▋| 3879/4000 [1:39:23<03:03,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  97%|█████████▋| 3880/4000 [1:39:24<03:02,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.52s/it]
overall:  97%|█████████▋| 3881/4000 [1:39:26<03:04,  1.55s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.55s/it]
overall:  97%|█████████▋| 3882/4000 [1:39:27<03:02,  1.54s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.54s/it]
overall:  97%|█████████▋| 3883/4000 [1:39:29<02:59,  1.53s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.53s/it]
overall:  97%|█████████▋| 3884/4000 [1:39:30<02:56,  1.53s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.53s/it]
overall:  97%|█████████▋| 3885/4000 [1:39:32<02:48,  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: 0.48465627431869507
train acc: 0.9018218517303467
train loss: 0.49209684133529663
train acc: 0.8939999938011169
train loss: 0.48899608850479126
train acc: 0.8920000195503235
train loss: 0.5147130489349365
train acc: 0.8930000066757202


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  97%|█████████▋| 3886/4000 [1:39:34<03:16,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  97%|█████████▋| 3887/4000 [1:39:35<03:07,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  97%|█████████▋| 3888/4000 [1:39:37<03:00,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  97%|█████████▋| 3889/4000 [1:39:38<02:55,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  97%|█████████▋| 3890/4000 [1:39:40<02:51,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  97%|█████████▋| 3891/4000 [1:39:41<02:48,  1.55s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  97%|█████████▋| 3892/4000 [1:39:43<02:45,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.53s/it]
overall:  97%|█████████▋| 3893/4000 [1:39:44<02:42,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  97%|█████████▋| 3894/4000 [1:39:46<02:41,  1.52s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.52s/it]
overall:  97%|█████████▋| 3895/4000 [1:39:48<02:39,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  97%|█████████▋| 3896/4000 [1:39:49<02:37,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  97%|█████████▋| 3897/4000 [1:39:51<02:35,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  97%|█████████▋| 3898/4000 [1:39:52<02:34,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  97%|█████████▋| 3899/4000 [1:39:54<02:32,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  98%|█████████▊| 3900/4000 [1:39:55<02:30,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  98%|█████████▊| 3901/4000 [1:39:57<02:29,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  98%|█████████▊| 3902/4000 [1:39:58<02:28,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  98%|█████████▊| 3903/4000 [1:40:00<02:27,  1.52s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.52s/it]
overall:  98%|█████████▊| 3904/4000 [1:40:01<02:25,  1.52s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.52s/it]
overall:  98%|█████████▊| 3905/4000 [1:40:03<02:23,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall:  98%|█████████▊| 3906/4000 [1:40:04<02:22,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  98%|█████████▊| 3907/4000 [1:40:06<02:21,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.52s/it]
overall:  98%|█████████▊| 3908/4000 [1:40:07<02:19,  1.52s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.52s/it]
overall:  98%|█████████▊| 3909/4000 [1:40:09<02:17,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.51s/it]
overall:  98%|█████████▊| 3910/4000 [1:40:10<02:16,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  98%|█████████▊| 3911/4000 [1:40:12<02:14,  1.51s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.51s/it]
overall:  98%|█████████▊| 3912/4000 [1:40:13<02:12,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  98%|█████████▊| 3913/4000 [1:40:15<02:11,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.51s/it]
overall:  98%|█████████▊| 3914/4000 [1:40:16<02:10,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  98%|█████████▊| 3915/4000 [1:40:18<02:08,  1.52s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.52s/it]
overall:  98%|█████████▊| 3916/4000 [1:40:19<02:07,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  98%|█████████▊| 3917/4000 [1:40:21<02:05,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  98%|█████████▊| 3918/4000 [1:40:22<02:03,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  98%|█████████▊| 3919/4000 [1:40:24<02:02,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  98%|█████████▊| 3920/4000 [1:40:25<02:00,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  98%|█████████▊| 3921/4000 [1:40:27<01:59,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  98%|█████████▊| 3922/4000 [1:40:28<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: 0.5036749243736267
train acc: 0.8866396546363831
train loss: 0.5146320462226868
train acc: 0.8849999904632568
train loss: 0.508554220199585
train acc: 0.9010000228881836
train loss: 0.4849226474761963
train acc: 0.8960000276565552


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  98%|█████████▊| 3923/4000 [1:40:30<02:11,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  98%|█████████▊| 3924/4000 [1:40:32<02:05,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  98%|█████████▊| 3925/4000 [1:40:33<02:00,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  98%|█████████▊| 3926/4000 [1:40:35<01:56,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.61s/it]
overall:  98%|█████████▊| 3927/4000 [1:40:37<01:53,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  98%|█████████▊| 3928/4000 [1:40:38<01:52,  1.56s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.57s/it]
overall:  98%|█████████▊| 3929/4000 [1:40:40<01:49,  1.55s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.55s/it]
overall:  98%|█████████▊| 3930/4000 [1:40:41<01:47,  1.54s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.54s/it]
overall:  98%|█████████▊| 3931/4000 [1:40:43<01:45,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  98%|█████████▊| 3932/4000 [1:40:44<01:44,  1.53s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.53s/it]
overall:  98%|█████████▊| 3933/4000 [1:40:46<01:42,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.53s/it]
overall:  98%|█████████▊| 3934/4000 [1:40:47<01:40,  1.52s/it]

train:  32%|███▏      | 12/37 [00:18<00:38,  1.52s/it]
overall:  98%|█████████▊| 3935/4000 [1:40:49<01:38,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  98%|█████████▊| 3936/4000 [1:40:50<01:37,  1.52s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.52s/it]
overall:  98%|█████████▊| 3937/4000 [1:40:52<01:35,  1.52s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.52s/it]
overall:  98%|█████████▊| 3938/4000 [1:40:53<01:34,  1.52s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.52s/it]
overall:  98%|█████████▊| 3939/4000 [1:40:55<01:32,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  98%|█████████▊| 3940/4000 [1:40:56<01:30,  1.51s/it]

train:  49%|████▊     | 18/37 [00:28<00:28,  1.51s/it]
overall:  99%|█████████▊| 3941/4000 [1:40:58<01:29,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  99%|█████████▊| 3942/4000 [1:40:59<01:27,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:31<00:25,  1.51s/it]
overall:  99%|█████████▊| 3943/4000 [1:41:01<01:26,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall:  99%|█████████▊| 3944/4000 [1:41:02<01:24,  1.51s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  99%|█████████▊| 3945/4000 [1:41:04<01:23,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.51s/it]
overall:  99%|█████████▊| 3946/4000 [1:41:05<01:21,  1.51s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.51s/it]
overall:  99%|█████████▊| 3947/4000 [1:41:07<01:20,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.51s/it]
overall:  99%|█████████▊| 3948/4000 [1:41:08<01:18,  1.51s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.51s/it]
overall:  99%|█████████▊| 3949/4000 [1:41:10<01:17,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  99%|█████████▉| 3950/4000 [1:41:11<01:15,  1.51s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.51s/it]
overall:  99%|█████████▉| 3951/4000 [1:41:13<01:14,  1.51s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.51s/it]
overall:  99%|█████████▉| 3952/4000 [1:41:14<01:12,  1.51s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.51s/it]
overall:  99%|█████████▉| 3953/4000 [1:41:16<01:10,  1.51s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  99%|█████████▉| 3954/4000 [1:41:17<01:09,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.51s/it]
overall:  99%|█████████▉| 3955/4000 [1:41:19<01:07,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  99%|█████████▉| 3956/4000 [1:41:20<01:06,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.51s/it]
overall:  99%|█████████▉| 3957/4000 [1:41:22<01:04,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:53<00:03,  1.51s/it]
overall:  99%|█████████▉| 3958/4000 [1:41:23<01:03,  1.51s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.51s/it]
overall:  99%|█████████▉| 3959/4000 [1:41:25<00:59,  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: 0.4932190477848053
train acc: 0.8927125334739685
train loss: 0.48995694518089294
train acc: 0.9049999713897705
train loss: 0.5033852458000183
train acc: 0.8960000276565552


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  99%|█████████▉| 3960/4000 [1:41:27<01:08,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  99%|█████████▉| 3961/4000 [1:41:29<01:04,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  99%|█████████▉| 3962/4000 [1:41:30<01:01,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  99%|█████████▉| 3963/4000 [1:41:32<00:58,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  99%|█████████▉| 3964/4000 [1:41:33<00:56,  1.56s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.57s/it]
overall:  99%|█████████▉| 3965/4000 [1:41:35<00:53,  1.54s/it]

train:  16%|█▌        | 6/37 [00:09<00:48,  1.55s/it]
overall:  99%|█████████▉| 3966/4000 [1:41:36<00:52,  1.53s/it]

train:  19%|█▉        | 7/37 [00:11<00:46,  1.54s/it]
overall:  99%|█████████▉| 3967/4000 [1:41:38<00:50,  1.53s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.53s/it]
overall:  99%|█████████▉| 3968/4000 [1:41:39<00:48,  1.53s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.53s/it]
overall:  99%|█████████▉| 3969/4000 [1:41:41<00:47,  1.52s/it]

train:  27%|██▋       | 10/37 [00:15<00:41,  1.52s/it]
overall:  99%|█████████▉| 3970/4000 [1:41:42<00:45,  1.52s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.52s/it]
overall:  99%|█████████▉| 3971/4000 [1:41:44<00:43,  1.51s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.51s/it]
overall:  99%|█████████▉| 3972/4000 [1:41:45<00:42,  1.52s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.52s/it]
overall:  99%|█████████▉| 3973/4000 [1:41:47<00:40,  1.51s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.51s/it]
overall:  99%|█████████▉| 3974/4000 [1:41:48<00:39,  1.51s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.51s/it]
overall:  99%|█████████▉| 3975/4000 [1:41:50<00:37,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  99%|█████████▉| 3976/4000 [1:41:51<00:36,  1.51s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.51s/it]
overall:  99%|█████████▉| 3977/4000 [1:41:53<00:34,  1.51s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.51s/it]
overall:  99%|█████████▉| 3978/4000 [1:41:54<00:33,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.51s/it]
overall:  99%|█████████▉| 3979/4000 [1:41:56<00:31,  1.51s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.51s/it]
overall: 100%|█████████▉| 3980/4000 [1:41:57<00:30,  1.51s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.51s/it]
overall: 100%|█████████▉| 3981/4000 [1:41:59<00:28,  1.50s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.50s/it]
overall: 100%|█████████▉| 3982/4000 [1:42:00<00:27,  1.50s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall: 100%|█████████▉| 3983/4000 [1:42:02<00:25,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.50s/it]
overall: 100%|█████████▉| 3984/4000 [1:42:03<00:24,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall: 100%|█████████▉| 3985/4000 [1:42:05<00:22,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall: 100%|█████████▉| 3986/4000 [1:42:06<00:21,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall: 100%|█████████▉| 3987/4000 [1:42:08<00:19,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall: 100%|█████████▉| 3988/4000 [1:42:09<00:17,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:11,  1.50s/it]
overall: 100%|█████████▉| 3989/4000 [1:42:11<00:16,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall: 100%|█████████▉| 3990/4000 [1:42:12<00:14,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.50s/it]
overall: 100%|█████████▉| 3991/4000 [1:42:14<00:13,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall: 100%|█████████▉| 3992/4000 [1:42:15<00:11,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.50s/it]
overall: 100%|█████████▉| 3993/4000 [1:42:17<00:10,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall: 100%|█████████▉| 3994/4000 [1:42:18<00:08,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.50s/it]
overall: 100%|█████████▉| 3995/4000 [1:42:20<00:07,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall: 100%|█████████▉| 3996/4000 [1:42:21<00:05,  1.44s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.52s/it]
train loss: 0.5051177740097046
train acc: 0.8805667757987976
train loss: 0.5262824296951294
train acc: 0.8790000081062317
train loss: 0.500493049621582
train acc: 0.8870000243186951
train loss: 0.47198742628097534
train acc: 0.9139999747276306


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall: 100%|█████████▉| 3997/4000 [1:42:23<00:05,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall: 100%|█████████▉| 3998/4000 [1:42:25<00:03,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall: 100%|█████████▉| 3999/4000 [1:42:26<00:01,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]train loss: 0.5137814879417419
train acc: 0.8846153616905212



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,  1.78s/it]


test:  20%|██        | 3/15 [00:05<00:19,  1.61s/it]


test:  27%|██▋       | 4/15 [00:06<00:16,  1.53s/it]


test:  33%|███▎      | 5/15 [00:07<00:14,  1.48s/it]


test:  40%|████      | 6/15 [00:09<00:13,  1.46s/it]


test:  47%|████▋     | 7/15 [00:10<00:11,  1.44s/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,  1.42s/it]


test:  80%|████████  | 12/15 [00:17<00:04,  1.42s/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,  1.39s/it]

                                                              

                                                     

overall: 100%|█████████▉| 3999/4000 [1:42:49<00:01,  1.60s/it]

train:   8%|▊         | 3/37 [00:27<00:56,  1.66s/it]
                                                              

                                                     

overall: 100%|█████████▉| 3999/4000 [1:42:49<00:01,  1.60s/it]

train:   8%|▊         | 3/37 [00:27<00:56,  1.66s/it]
overall: 100%|██████████| 4000/4000 [1:42:49<00:00,  7.87s/it]

train:  11%|█         | 4/37 [00:27<05:26,  9.89s/it]
train:  11%|█         | 4/37 [00:28<03:51,  7.00s/it]

overall: 100%|██████████| 4000/4000 [1:42:49<00:00,  1.54s/it]
test loss: 0.9824919104576111
test acc: 0.7466192245483398
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt