/home/tony/Work/glockenspiel/s3prl/s3prl/upstream/byol_s/byol_a/common.py:20: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend("sox_io")
2023-09-22 22:39:11 | WARNING | root | Pytorch pre-release version 2.1.0.dev20230831+cu118 - assuming intent to test it
/home/tony/Work/glockenspiel/s3prl/s3prl/run_downstream.py:157: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
  torchaudio.set_audio_backend('sox_io')
Some weights of the model checkpoint at m-a-p/MERT-v1-95M were not used when initializing MERTModel: ['encoder.pos_conv_embed.conv.weight_v', 'encoder.pos_conv_embed.conv.weight_g']
- This IS expected if you are initializing MERTModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing MERTModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of MERTModel were not initialized from the model checkpoint at m-a-p/MERT-v1-95M and are newly initialized: ['encoder.pos_conv_embed.conv.parametrizations.weight.original1', 'encoder.pos_conv_embed.conv.parametrizations.weight.original0']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
[Featurizer] - The selected feature hidden_states's downsample rate is 320
[Runner] - Start a new experiment
mert_95M_encode {'model_config': None, 'refresh': False}
using suno's k-means clusters: mert_95M_encode

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train:  76%|███████▌  | 28/37 [00:39<00:12,  1.37s/it]
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overall:   1%|          | 30/4000 [00:42<1:31:05,  1.38s/it]

train:  81%|████████  | 30/37 [00:42<00:09,  1.38s/it]
overall:   1%|          | 31/4000 [00:43<1:31:14,  1.38s/it]

train:  84%|████████▍ | 31/37 [00:43<00:08,  1.38s/it]
overall:   1%|          | 32/4000 [00:45<1:31:36,  1.39s/it]

train:  86%|████████▋ | 32/37 [00:45<00:06,  1.39s/it]
overall:   1%|          | 33/4000 [00:46<1:31:42,  1.39s/it]

train:  89%|████████▉ | 33/37 [00:46<00:05,  1.39s/it]
overall:   1%|          | 34/4000 [00:48<1:31:39,  1.39s/it]

train:  92%|█████████▏| 34/37 [00:48<00:04,  1.39s/it]
overall:   1%|          | 35/4000 [00:49<1:31:41,  1.39s/it]

train:  95%|█████████▍| 35/37 [00:49<00:02,  1.39s/it]
overall:   1%|          | 36/4000 [00:50<1:32:03,  1.39s/it]

train:  97%|█████████▋| 36/37 [00:50<00:01,  1.39s/it]
overall:   1%|          | 37/4000 [00:52<1:28:58,  1.35s/it]

train: 100%|██████████| 37/37 [00:52<00:00,  1.35s/it]
train: 100%|██████████| 37/37 [00:52<00:00,  1.41s/it]
train loss: 2.7589287757873535
train acc: 0.0989999994635582
train loss: 2.5368874073028564
train acc: 0.16200000047683716
train loss: 2.5845444202423096
train acc: 0.1889999955892563


train:   0%|          | 0/37 [00:00<?, ?it/s]
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overall:   1%|          | 41/4000 [00:58<1:38:17,  1.49s/it]

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overall:   1%|          | 42/4000 [01:00<1:36:13,  1.46s/it]

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overall:   1%|          | 43/4000 [01:01<1:35:07,  1.44s/it]

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overall:   1%|          | 44/4000 [01:02<1:34:24,  1.43s/it]

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overall:   1%|          | 47/4000 [01:07<1:33:36,  1.42s/it]

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overall:   1%|▏         | 53/4000 [01:15<1:33:12,  1.42s/it]

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overall:   1%|▏         | 54/4000 [01:17<1:32:48,  1.41s/it]

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overall:   1%|▏         | 55/4000 [01:18<1:32:26,  1.41s/it]

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overall:   1%|▏         | 56/4000 [01:19<1:32:22,  1.41s/it]

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overall:   1%|▏         | 58/4000 [01:22<1:32:55,  1.41s/it]

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overall:   2%|▏         | 60/4000 [01:25<1:32:59,  1.42s/it]

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overall:   2%|▏         | 61/4000 [01:26<1:32:58,  1.42s/it]

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overall:   2%|▏         | 62/4000 [01:28<1:33:26,  1.42s/it]

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overall:   2%|▏         | 63/4000 [01:29<1:33:11,  1.42s/it]

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overall:   2%|▏         | 64/4000 [01:31<1:33:08,  1.42s/it]

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overall:   2%|▏         | 65/4000 [01:32<1:33:06,  1.42s/it]

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overall:   2%|▏         | 66/4000 [01:34<1:33:05,  1.42s/it]

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overall:   2%|▏         | 67/4000 [01:35<1:32:57,  1.42s/it]

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overall:   2%|▏         | 68/4000 [01:36<1:32:57,  1.42s/it]

train:  84%|████████▍ | 31/37 [00:44<00:08,  1.42s/it]
overall:   2%|▏         | 69/4000 [01:38<1:32:52,  1.42s/it]

train:  86%|████████▋ | 32/37 [00:46<00:07,  1.42s/it]
overall:   2%|▏         | 70/4000 [01:39<1:32:56,  1.42s/it]

train:  89%|████████▉ | 33/37 [00:47<00:05,  1.42s/it]
overall:   2%|▏         | 71/4000 [01:41<1:33:17,  1.42s/it]

train:  92%|█████████▏| 34/37 [00:48<00:04,  1.42s/it]
overall:   2%|▏         | 72/4000 [01:42<1:33:16,  1.42s/it]

train:  95%|█████████▍| 35/37 [00:50<00:02,  1.42s/it]
overall:   2%|▏         | 73/4000 [01:44<1:33:15,  1.42s/it]

train:  97%|█████████▋| 36/37 [00:51<00:01,  1.42s/it]
overall:   2%|▏         | 74/4000 [01:45<1:30:04,  1.38s/it]

train: 100%|██████████| 37/37 [00:53<00:00,  1.38s/it]
train: 100%|██████████| 37/37 [00:53<00:00,  1.44s/it]
train loss: 2.496354579925537
train acc: 0.15080972015857697
train loss: 2.4617302417755127
train acc: 0.24300000071525574
train loss: 2.450863838195801
train acc: 0.22100000083446503
train loss: 2.43605637550354
train acc: 0.23399999737739563


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   2%|▏         | 75/4000 [01:47<1:47:23,  1.64s/it]

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overall:   2%|▏         | 76/4000 [01:49<1:43:48,  1.59s/it]

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overall:   2%|▏         | 77/4000 [01:50<1:41:03,  1.55s/it]

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overall:   2%|▏         | 78/4000 [01:51<1:38:34,  1.51s/it]

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overall:   2%|▏         | 79/4000 [01:53<1:37:31,  1.49s/it]

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overall:   2%|▏         | 80/4000 [01:54<1:36:44,  1.48s/it]

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overall:   2%|▏         | 81/4000 [01:56<1:35:56,  1.47s/it]

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overall:   2%|▏         | 82/4000 [01:57<1:35:01,  1.46s/it]

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overall:   2%|▏         | 83/4000 [01:59<1:34:18,  1.44s/it]

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overall:   2%|▏         | 85/4000 [02:02<1:34:34,  1.45s/it]

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overall:   2%|▏         | 86/4000 [02:03<1:34:33,  1.45s/it]

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overall:   2%|▏         | 87/4000 [02:04<1:34:41,  1.45s/it]

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overall:   2%|▏         | 88/4000 [02:06<1:34:26,  1.45s/it]

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overall:   2%|▏         | 89/4000 [02:07<1:34:16,  1.45s/it]

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overall:   2%|▏         | 90/4000 [02:09<1:33:46,  1.44s/it]

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overall:   2%|▏         | 91/4000 [02:10<1:33:44,  1.44s/it]

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overall:   2%|▏         | 92/4000 [02:12<1:33:42,  1.44s/it]

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overall:   2%|▏         | 93/4000 [02:13<1:33:41,  1.44s/it]

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overall:   2%|▏         | 94/4000 [02:14<1:33:28,  1.44s/it]

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overall:   2%|▏         | 95/4000 [02:16<1:33:20,  1.43s/it]

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overall:   2%|▏         | 96/4000 [02:17<1:33:23,  1.44s/it]

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overall:   2%|▏         | 97/4000 [02:19<1:33:26,  1.44s/it]

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overall:   2%|▏         | 98/4000 [02:20<1:33:22,  1.44s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.44s/it]
overall:   2%|▏         | 99/4000 [02:22<1:33:31,  1.44s/it]

train:  68%|██████▊   | 25/37 [00:36<00:17,  1.44s/it]
overall:   2%|▎         | 100/4000 [02:23<1:33:20,  1.44s/it]

train:  70%|███████   | 26/37 [00:38<00:15,  1.44s/it]
overall:   3%|▎         | 101/4000 [02:25<1:33:15,  1.44s/it]

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overall:   3%|▎         | 102/4000 [02:26<1:33:17,  1.44s/it]

train:  76%|███████▌  | 28/37 [00:41<00:12,  1.44s/it]
overall:   3%|▎         | 103/4000 [02:27<1:33:17,  1.44s/it]

train:  78%|███████▊  | 29/37 [00:42<00:11,  1.44s/it]
overall:   3%|▎         | 104/4000 [02:29<1:33:22,  1.44s/it]

train:  81%|████████  | 30/37 [00:43<00:10,  1.44s/it]
overall:   3%|▎         | 105/4000 [02:30<1:33:46,  1.44s/it]

train:  84%|████████▍ | 31/37 [00:45<00:08,  1.44s/it]
overall:   3%|▎         | 106/4000 [02:32<1:33:55,  1.45s/it]

train:  86%|████████▋ | 32/37 [00:46<00:07,  1.45s/it]
overall:   3%|▎         | 107/4000 [02:33<1:34:17,  1.45s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.45s/it]
overall:   3%|▎         | 108/4000 [02:35<1:34:29,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:49<00:04,  1.46s/it]
overall:   3%|▎         | 109/4000 [02:36<1:34:25,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.46s/it]
overall:   3%|▎         | 110/4000 [02:38<1:34:15,  1.45s/it]

train:  97%|█████████▋| 36/37 [00:52<00:01,  1.45s/it]
overall:   3%|▎         | 111/4000 [02:39<1:31:02,  1.40s/it]

train: 100%|██████████| 37/37 [00:53<00:00,  1.40s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.46s/it]
train loss: 2.422650098800659
train acc: 0.24089068174362183
train loss: 2.3722217082977295
train acc: 0.25099998712539673
train loss: 2.378070831298828
train acc: 0.2669999897480011
train loss: 2.3465030193328857
train acc: 0.28700000047683716


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   3%|▎         | 112/4000 [02:41<1:51:50,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.35s/it]
overall:   3%|▎         | 113/4000 [02:43<1:46:43,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:   3%|▎         | 114/4000 [02:44<1:43:00,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:   3%|▎         | 115/4000 [02:46<1:40:06,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:   3%|▎         | 116/4000 [02:47<1:38:20,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:   3%|▎         | 117/4000 [02:49<1:37:11,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:   3%|▎         | 118/4000 [02:50<1:36:20,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:   3%|▎         | 119/4000 [02:52<1:35:22,  1.47s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:   3%|▎         | 120/4000 [02:53<1:35:14,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:   3%|▎         | 121/4000 [02:54<1:35:02,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:   3%|▎         | 122/4000 [02:56<1:35:19,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.48s/it]
overall:   3%|▎         | 123/4000 [02:57<1:35:00,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:   3%|▎         | 124/4000 [02:59<1:34:45,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:   3%|▎         | 125/4000 [03:00<1:34:35,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:   3%|▎         | 126/4000 [03:02<1:34:28,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:   3%|▎         | 127/4000 [03:03<1:34:21,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:   3%|▎         | 128/4000 [03:05<1:33:56,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:   3%|▎         | 129/4000 [03:06<1:33:58,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:   3%|▎         | 130/4000 [03:08<1:34:01,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:   3%|▎         | 131/4000 [03:09<1:34:01,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:   3%|▎         | 132/4000 [03:11<1:34:00,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:   3%|▎         | 133/4000 [03:12<1:33:44,  1.45s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.45s/it]
overall:   3%|▎         | 134/4000 [03:13<1:33:44,  1.45s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.45s/it]
overall:   3%|▎         | 135/4000 [03:15<1:33:47,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:   3%|▎         | 136/4000 [03:16<1:33:45,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:   3%|▎         | 137/4000 [03:18<1:33:47,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:   3%|▎         | 138/4000 [03:19<1:33:51,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:   3%|▎         | 139/4000 [03:21<1:33:55,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:   4%|▎         | 140/4000 [03:22<1:33:52,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:   4%|▎         | 141/4000 [03:24<1:34:08,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:   4%|▎         | 142/4000 [03:25<1:34:24,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:   4%|▎         | 143/4000 [03:27<1:34:20,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:   4%|▎         | 144/4000 [03:28<1:34:08,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:   4%|▎         | 145/4000 [03:30<1:33:55,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:   4%|▎         | 146/4000 [03:31<1:33:36,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.46s/it]
overall:   4%|▎         | 147/4000 [03:32<1:33:37,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:   4%|▎         | 148/4000 [03:34<1:30:41,  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: 2.36614990234375
train acc: 0.2884615361690521
train loss: 2.3302841186523438
train acc: 0.289000004529953
train loss: 2.28755259513855
train acc: 0.3230000138282776


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   4%|▎         | 149/4000 [03:36<1:47:52,  1.68s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:   4%|▍         | 150/4000 [03:37<1:43:29,  1.61s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.75s/it]
overall:   4%|▍         | 151/4000 [03:39<1:40:40,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.62s/it]
overall:   4%|▍         | 152/4000 [03:40<1:38:47,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:   4%|▍         | 153/4000 [03:42<1:37:17,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:   4%|▍         | 154/4000 [03:43<1:36:01,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:   4%|▍         | 155/4000 [03:45<1:35:25,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:   4%|▍         | 156/4000 [03:46<1:35:10,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:   4%|▍         | 157/4000 [03:48<1:34:42,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:   4%|▍         | 158/4000 [03:49<1:34:20,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:   4%|▍         | 159/4000 [03:51<1:33:55,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:   4%|▍         | 160/4000 [03:52<1:33:48,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:   4%|▍         | 161/4000 [03:54<1:33:44,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:   4%|▍         | 162/4000 [03:55<1:33:34,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:   4%|▍         | 163/4000 [03:57<1:33:54,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:   4%|▍         | 164/4000 [03:58<1:33:26,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:   4%|▍         | 165/4000 [03:59<1:33:14,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:   4%|▍         | 166/4000 [04:01<1:32:50,  1.45s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.45s/it]
overall:   4%|▍         | 167/4000 [04:02<1:32:51,  1.45s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.45s/it]
overall:   4%|▍         | 168/4000 [04:04<1:32:56,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:   4%|▍         | 169/4000 [04:05<1:32:43,  1.45s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.45s/it]
overall:   4%|▍         | 170/4000 [04:07<1:32:46,  1.45s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.45s/it]
overall:   4%|▍         | 171/4000 [04:08<1:32:33,  1.45s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.45s/it]
overall:   4%|▍         | 172/4000 [04:10<1:32:36,  1.45s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.45s/it]
overall:   4%|▍         | 173/4000 [04:11<1:33:11,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:   4%|▍         | 174/4000 [04:13<1:33:11,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:   4%|▍         | 175/4000 [04:14<1:32:44,  1.45s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.45s/it]
overall:   4%|▍         | 176/4000 [04:15<1:32:41,  1.45s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.45s/it]
overall:   4%|▍         | 177/4000 [04:17<1:32:29,  1.45s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.45s/it]
overall:   4%|▍         | 178/4000 [04:18<1:32:40,  1.45s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.45s/it]
overall:   4%|▍         | 179/4000 [04:20<1:32:33,  1.45s/it]

train:  84%|████████▍ | 31/37 [00:45<00:08,  1.45s/it]
overall:   4%|▍         | 180/4000 [04:21<1:32:23,  1.45s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.45s/it]
overall:   5%|▍         | 181/4000 [04:23<1:32:26,  1.45s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.45s/it]
overall:   5%|▍         | 182/4000 [04:24<1:32:15,  1.45s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.45s/it]
overall:   5%|▍         | 183/4000 [04:26<1:32:03,  1.45s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.45s/it]
overall:   5%|▍         | 184/4000 [04:27<1:32:09,  1.45s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.45s/it]
overall:   5%|▍         | 185/4000 [04:28<1:29:28,  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: 2.2899858951568604
train acc: 0.2995951473712921
train loss: 2.296999931335449
train acc: 0.26899999380111694
train loss: 2.2747206687927246
train acc: 0.28700000047683716
train loss: 2.2419021129608154
train acc: 0.3100000023841858


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   5%|▍         | 186/4000 [04:31<1:50:06,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.36s/it]
overall:   5%|▍         | 187/4000 [04:32<1:44:49,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:   5%|▍         | 188/4000 [04:34<1:41:00,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:   5%|▍         | 189/4000 [04:35<1:38:18,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:   5%|▍         | 190/4000 [04:37<1:37:04,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:   5%|▍         | 191/4000 [04:38<1:35:44,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:   5%|▍         | 192/4000 [04:40<1:34:24,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:   5%|▍         | 193/4000 [04:41<1:33:28,  1.47s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.47s/it]
overall:   5%|▍         | 194/4000 [04:42<1:32:48,  1.46s/it]

train:  24%|██▍       | 9/37 [00:13<00:40,  1.46s/it]
overall:   5%|▍         | 195/4000 [04:44<1:32:28,  1.46s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.46s/it]
overall:   5%|▍         | 196/4000 [04:45<1:32:13,  1.45s/it]

train:  30%|██▉       | 11/37 [00:16<00:37,  1.45s/it]
overall:   5%|▍         | 197/4000 [04:47<1:31:59,  1.45s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.45s/it]
overall:   5%|▍         | 198/4000 [04:48<1:32:53,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:   5%|▍         | 199/4000 [04:50<1:32:22,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:   5%|▌         | 200/4000 [04:51<1:32:18,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:   5%|▌         | 201/4000 [04:53<1:32:02,  1.45s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.45s/it]
overall:   5%|▌         | 202/4000 [04:54<1:31:45,  1.45s/it]

train:  46%|████▌     | 17/37 [00:25<00:28,  1.45s/it]
overall:   5%|▌         | 203/4000 [04:55<1:31:30,  1.45s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.45s/it]
overall:   5%|▌         | 204/4000 [04:57<1:31:21,  1.44s/it]

train:  51%|█████▏    | 19/37 [00:28<00:25,  1.44s/it]
overall:   5%|▌         | 205/4000 [04:58<1:31:17,  1.44s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.44s/it]
overall:   5%|▌         | 206/4000 [05:00<1:31:16,  1.44s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.44s/it]
overall:   5%|▌         | 207/4000 [05:01<1:31:35,  1.45s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.45s/it]
overall:   5%|▌         | 208/4000 [05:03<1:32:00,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:   5%|▌         | 209/4000 [05:04<1:32:20,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:   5%|▌         | 210/4000 [05:06<1:32:37,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:   5%|▌         | 211/4000 [05:07<1:32:16,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:   5%|▌         | 212/4000 [05:09<1:31:49,  1.45s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.45s/it]
overall:   5%|▌         | 213/4000 [05:10<1:31:46,  1.45s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.45s/it]
overall:   5%|▌         | 214/4000 [05:11<1:31:48,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:   5%|▌         | 215/4000 [05:13<1:31:43,  1.45s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.45s/it]
overall:   5%|▌         | 216/4000 [05:14<1:31:36,  1.45s/it]

train:  84%|████████▍ | 31/37 [00:45<00:08,  1.45s/it]
overall:   5%|▌         | 217/4000 [05:16<1:31:28,  1.45s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.45s/it]
overall:   5%|▌         | 218/4000 [05:17<1:31:28,  1.45s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.45s/it]
overall:   5%|▌         | 219/4000 [05:19<1:31:33,  1.45s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.45s/it]
overall:   6%|▌         | 220/4000 [05:20<1:31:27,  1.45s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.45s/it]
overall:   6%|▌         | 221/4000 [05:22<1:31:11,  1.45s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.45s/it]
overall:   6%|▌         | 222/4000 [05:23<1:28:17,  1.40s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.40s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 2.188995599746704
train acc: 0.3360323905944824
train loss: 2.238478183746338
train acc: 0.30300000309944153
train loss: 2.1710667610168457
train acc: 0.35499998927116394
train loss: 2.222424030303955
train acc: 0.2939999997615814


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   6%|▌         | 223/4000 [05:25<1:45:16,  1.67s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:   6%|▌         | 224/4000 [05:27<1:41:51,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.77s/it]
overall:   6%|▌         | 225/4000 [05:28<1:38:51,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:   6%|▌         | 226/4000 [05:30<1:36:49,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:   6%|▌         | 227/4000 [05:31<1:35:10,  1.51s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.52s/it]
overall:   6%|▌         | 228/4000 [05:33<1:33:57,  1.49s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:   6%|▌         | 229/4000 [05:34<1:33:12,  1.48s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:   6%|▌         | 230/4000 [05:35<1:32:39,  1.47s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:   6%|▌         | 231/4000 [05:37<1:32:40,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:   6%|▌         | 232/4000 [05:38<1:32:26,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:   6%|▌         | 233/4000 [05:40<1:32:06,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:   6%|▌         | 234/4000 [05:41<1:31:57,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:   6%|▌         | 235/4000 [05:43<1:32:38,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:   6%|▌         | 236/4000 [05:44<1:32:20,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:   6%|▌         | 237/4000 [05:46<1:31:56,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:   6%|▌         | 238/4000 [05:47<1:31:41,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:   6%|▌         | 239/4000 [05:49<1:31:28,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:   6%|▌         | 240/4000 [05:50<1:31:28,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:   6%|▌         | 241/4000 [05:52<1:31:37,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:   6%|▌         | 242/4000 [05:53<1:31:42,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:   6%|▌         | 243/4000 [05:55<1:31:35,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:   6%|▌         | 244/4000 [05:56<1:31:32,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:   6%|▌         | 245/4000 [05:57<1:31:26,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:   6%|▌         | 246/4000 [05:59<1:31:22,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:   6%|▌         | 247/4000 [06:00<1:32:26,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:   6%|▌         | 248/4000 [06:02<1:32:09,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:   6%|▌         | 249/4000 [06:03<1:31:47,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:   6%|▋         | 250/4000 [06:05<1:31:31,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:   6%|▋         | 251/4000 [06:06<1:31:09,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:   6%|▋         | 252/4000 [06:08<1:31:01,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:   6%|▋         | 253/4000 [06:09<1:30:47,  1.45s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.45s/it]
overall:   6%|▋         | 254/4000 [06:11<1:30:43,  1.45s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.45s/it]
overall:   6%|▋         | 255/4000 [06:12<1:31:11,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.46s/it]
overall:   6%|▋         | 256/4000 [06:14<1:31:30,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:   6%|▋         | 257/4000 [06:15<1:31:32,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.47s/it]
overall:   6%|▋         | 258/4000 [06:16<1:31:22,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:   6%|▋         | 259/4000 [06:18<1:28:34,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 2.2187697887420654
train acc: 0.311740905046463
train loss: 2.16768217086792
train acc: 0.3140000104904175
train loss: 2.1728453636169434
train acc: 0.32499998807907104


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   6%|▋         | 260/4000 [06:20<1:44:52,  1.68s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.17s/it]
overall:   7%|▋         | 261/4000 [06:22<1:40:46,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:   7%|▋         | 262/4000 [06:23<1:38:08,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:   7%|▋         | 263/4000 [06:24<1:36:21,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:   7%|▋         | 264/4000 [06:26<1:35:01,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:   7%|▋         | 265/4000 [06:27<1:33:47,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:   7%|▋         | 266/4000 [06:29<1:32:52,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:   7%|▋         | 267/4000 [06:30<1:32:16,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.48s/it]
overall:   7%|▋         | 268/4000 [06:32<1:31:43,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:   7%|▋         | 269/4000 [06:33<1:31:30,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:   7%|▋         | 270/4000 [06:35<1:31:37,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:   7%|▋         | 271/4000 [06:36<1:31:19,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:   7%|▋         | 272/4000 [06:38<1:31:29,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:   7%|▋         | 273/4000 [06:39<1:31:13,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:   7%|▋         | 274/4000 [06:41<1:31:02,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:   7%|▋         | 275/4000 [06:42<1:31:10,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:   7%|▋         | 276/4000 [06:44<1:32:05,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:   7%|▋         | 277/4000 [06:45<1:32:17,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:   7%|▋         | 278/4000 [06:47<1:31:47,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:   7%|▋         | 279/4000 [06:48<1:31:08,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.47s/it]
overall:   7%|▋         | 280/4000 [06:49<1:30:53,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:   7%|▋         | 281/4000 [06:51<1:30:40,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:   7%|▋         | 282/4000 [06:52<1:31:05,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:   7%|▋         | 283/4000 [06:54<1:30:51,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.47s/it]
overall:   7%|▋         | 284/4000 [06:55<1:30:44,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:   7%|▋         | 285/4000 [06:57<1:30:40,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:   7%|▋         | 286/4000 [06:58<1:30:45,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:   7%|▋         | 287/4000 [07:00<1:30:41,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:   7%|▋         | 288/4000 [07:01<1:30:32,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:   7%|▋         | 289/4000 [07:03<1:30:41,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:   7%|▋         | 290/4000 [07:04<1:30:38,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:   7%|▋         | 291/4000 [07:06<1:30:28,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:   7%|▋         | 292/4000 [07:07<1:30:18,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:   7%|▋         | 293/4000 [07:09<1:30:21,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:   7%|▋         | 294/4000 [07:10<1:30:09,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:   7%|▋         | 295/4000 [07:11<1:30:02,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:   7%|▋         | 296/4000 [07:13<1:27:24,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.49s/it]
train loss: 2.180166721343994
train acc: 0.311740905046463
train loss: 2.1571996212005615
train acc: 0.32199999690055847
train loss: 2.1785225868225098
train acc: 0.2980000078678131
train loss: 2.114255428314209
train acc: 0.3610000014305115


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   7%|▋         | 297/4000 [07:15<1:46:32,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:   7%|▋         | 298/4000 [07:17<1:41:53,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:   7%|▋         | 299/4000 [07:18<1:38:24,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:   8%|▊         | 300/4000 [07:20<1:35:52,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:   8%|▊         | 301/4000 [07:21<1:33:58,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:   8%|▊         | 302/4000 [07:22<1:32:28,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:   8%|▊         | 303/4000 [07:24<1:32:05,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:   8%|▊         | 304/4000 [07:25<1:31:18,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:   8%|▊         | 305/4000 [07:27<1:30:50,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:   8%|▊         | 306/4000 [07:28<1:30:38,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:   8%|▊         | 307/4000 [07:30<1:30:15,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:   8%|▊         | 308/4000 [07:31<1:30:09,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:   8%|▊         | 309/4000 [07:33<1:30:45,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:   8%|▊         | 310/4000 [07:34<1:30:32,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:   8%|▊         | 311/4000 [07:36<1:30:14,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:   8%|▊         | 312/4000 [07:37<1:29:58,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:   8%|▊         | 313/4000 [07:39<1:29:52,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:   8%|▊         | 314/4000 [07:40<1:29:53,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:   8%|▊         | 315/4000 [07:42<1:30:05,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:   8%|▊         | 316/4000 [07:43<1:30:02,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.47s/it]
overall:   8%|▊         | 317/4000 [07:44<1:30:30,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:   8%|▊         | 318/4000 [07:46<1:30:18,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.47s/it]
overall:   8%|▊         | 319/4000 [07:47<1:30:18,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:   8%|▊         | 320/4000 [07:49<1:30:24,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.47s/it]
overall:   8%|▊         | 321/4000 [07:50<1:30:14,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:   8%|▊         | 322/4000 [07:52<1:30:12,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:   8%|▊         | 323/4000 [07:53<1:30:05,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:   8%|▊         | 324/4000 [07:55<1:30:08,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:   8%|▊         | 325/4000 [07:56<1:29:40,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:   8%|▊         | 326/4000 [07:58<1:29:27,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:   8%|▊         | 327/4000 [07:59<1:29:31,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:   8%|▊         | 328/4000 [08:01<1:29:42,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:   8%|▊         | 329/4000 [08:02<1:29:38,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:   8%|▊         | 330/4000 [08:04<1:29:54,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:   8%|▊         | 331/4000 [08:05<1:29:40,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:   8%|▊         | 332/4000 [08:06<1:29:31,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:   8%|▊         | 333/4000 [08:08<1:26:27,  1.41s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.41s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 2.101473569869995
train acc: 0.3441295623779297
train loss: 2.146350383758545
train acc: 0.33500000834465027
train loss: 2.106196165084839
train acc: 0.34599998593330383
train loss: 2.0835254192352295
train acc: 0.34299999475479126


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   8%|▊         | 334/4000 [08:10<1:45:25,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:   8%|▊         | 335/4000 [08:12<1:40:33,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:   8%|▊         | 336/4000 [08:13<1:36:50,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.65s/it]
overall:   8%|▊         | 337/4000 [08:15<1:34:25,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:   8%|▊         | 338/4000 [08:16<1:32:47,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:   8%|▊         | 339/4000 [08:17<1:31:24,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:   8%|▊         | 340/4000 [08:19<1:30:30,  1.48s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:   9%|▊         | 341/4000 [08:20<1:30:11,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:   9%|▊         | 342/4000 [08:22<1:29:45,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:   9%|▊         | 343/4000 [08:23<1:29:33,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:   9%|▊         | 344/4000 [08:25<1:29:21,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:   9%|▊         | 345/4000 [08:26<1:29:12,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:   9%|▊         | 346/4000 [08:28<1:29:32,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:   9%|▊         | 347/4000 [08:29<1:29:16,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:   9%|▊         | 348/4000 [08:31<1:29:20,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:   9%|▊         | 349/4000 [08:32<1:29:25,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:   9%|▉         | 350/4000 [08:34<1:29:07,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:   9%|▉         | 351/4000 [08:35<1:28:57,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:   9%|▉         | 352/4000 [08:37<1:29:09,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:   9%|▉         | 353/4000 [08:38<1:28:46,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:   9%|▉         | 354/4000 [08:39<1:28:42,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:   9%|▉         | 355/4000 [08:41<1:28:34,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:   9%|▉         | 356/4000 [08:42<1:28:20,  1.45s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.45s/it]
overall:   9%|▉         | 357/4000 [08:44<1:28:17,  1.45s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.45s/it]
overall:   9%|▉         | 358/4000 [08:45<1:28:49,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:   9%|▉         | 359/4000 [08:47<1:28:59,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:   9%|▉         | 360/4000 [08:48<1:28:56,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:   9%|▉         | 361/4000 [08:50<1:29:30,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.48s/it]
overall:   9%|▉         | 362/4000 [08:51<1:29:27,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:   9%|▉         | 363/4000 [08:53<1:29:15,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:   9%|▉         | 364/4000 [08:54<1:29:00,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:   9%|▉         | 365/4000 [08:56<1:28:48,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:   9%|▉         | 366/4000 [08:57<1:28:41,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:   9%|▉         | 367/4000 [08:58<1:28:34,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:   9%|▉         | 368/4000 [09:00<1:28:38,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:   9%|▉         | 369/4000 [09:01<1:28:56,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:   9%|▉         | 370/4000 [09:03<1:25:55,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 2.1377575397491455
train acc: 0.2975708544254303
train loss: 2.0591797828674316
train acc: 0.3499999940395355
train loss: 2.128776788711548
train acc: 0.32199999690055847
train loss: 2.073028802871704
train acc: 0.31477731466293335


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:   9%|▉         | 371/4000 [09:05<1:44:02,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:   9%|▉         | 372/4000 [09:07<1:39:19,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:   9%|▉         | 373/4000 [09:08<1:35:56,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:   9%|▉         | 374/4000 [09:10<1:33:16,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:   9%|▉         | 375/4000 [09:11<1:31:58,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:   9%|▉         | 376/4000 [09:12<1:30:32,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:   9%|▉         | 377/4000 [09:14<1:29:39,  1.48s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:   9%|▉         | 378/4000 [09:15<1:29:14,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:   9%|▉         | 379/4000 [09:17<1:28:57,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  10%|▉         | 380/4000 [09:18<1:29:00,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  10%|▉         | 381/4000 [09:20<1:28:37,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  10%|▉         | 382/4000 [09:21<1:28:23,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  10%|▉         | 383/4000 [09:23<1:28:39,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  10%|▉         | 384/4000 [09:24<1:28:31,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  10%|▉         | 385/4000 [09:26<1:27:57,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  10%|▉         | 386/4000 [09:27<1:27:34,  1.45s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.45s/it]
overall:  10%|▉         | 387/4000 [09:29<1:28:00,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  10%|▉         | 388/4000 [09:30<1:28:01,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  10%|▉         | 389/4000 [09:31<1:27:46,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  10%|▉         | 390/4000 [09:33<1:27:31,  1.45s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.45s/it]
overall:  10%|▉         | 391/4000 [09:34<1:27:14,  1.45s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.45s/it]
overall:  10%|▉         | 392/4000 [09:36<1:27:22,  1.45s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.45s/it]
overall:  10%|▉         | 393/4000 [09:37<1:27:20,  1.45s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.45s/it]
overall:  10%|▉         | 394/4000 [09:39<1:27:11,  1.45s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.45s/it]
overall:  10%|▉         | 395/4000 [09:40<1:30:30,  1.51s/it]

train:  68%|██████▊   | 25/37 [00:37<00:18,  1.51s/it]
overall:  10%|▉         | 396/4000 [09:42<1:29:19,  1.49s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.49s/it]
overall:  10%|▉         | 397/4000 [09:43<1:28:41,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  10%|▉         | 398/4000 [09:45<1:28:06,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  10%|▉         | 399/4000 [09:46<1:28:07,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  10%|█         | 400/4000 [09:48<1:27:48,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  10%|█         | 401/4000 [09:49<1:27:40,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  10%|█         | 402/4000 [09:50<1:27:28,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  10%|█         | 403/4000 [09:52<1:27:29,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  10%|█         | 404/4000 [09:53<1:27:11,  1.45s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.45s/it]
overall:  10%|█         | 405/4000 [09:55<1:26:54,  1.45s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.45s/it]
overall:  10%|█         | 406/4000 [09:56<1:27:23,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  10%|█         | 407/4000 [09:58<1:24:23,  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: 2.0601909160614014
train acc: 0.34599998593330383
train loss: 2.061464548110962
train acc: 0.328000009059906
train loss: 2.0494141578674316
train acc: 0.3540000021457672


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  10%|█         | 408/4000 [10:00<1:40:00,  1.67s/it]

train:   3%|▎         | 1/37 [00:02<01:17,  2.16s/it]
overall:  10%|█         | 409/4000 [10:01<1:36:16,  1.61s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.75s/it]
overall:  10%|█         | 410/4000 [10:03<1:33:33,  1.56s/it]

train:   8%|▊         | 3/37 [00:05<00:54,  1.62s/it]
overall:  10%|█         | 411/4000 [10:04<1:31:40,  1.53s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  10%|█         | 412/4000 [10:06<1:30:26,  1.51s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.52s/it]
overall:  10%|█         | 413/4000 [10:07<1:29:44,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  10%|█         | 414/4000 [10:09<1:28:52,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:  10%|█         | 415/4000 [10:10<1:28:04,  1.47s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.47s/it]
overall:  10%|█         | 416/4000 [10:12<1:27:46,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  10%|█         | 417/4000 [10:13<1:27:58,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  10%|█         | 418/4000 [10:15<1:27:56,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  10%|█         | 419/4000 [10:16<1:27:45,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  10%|█         | 420/4000 [10:18<1:28:54,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  11%|█         | 421/4000 [10:19<1:28:38,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  11%|█         | 422/4000 [10:20<1:28:38,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  11%|█         | 423/4000 [10:22<1:28:07,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  11%|█         | 424/4000 [10:23<1:27:41,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  11%|█         | 425/4000 [10:25<1:27:31,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  11%|█         | 426/4000 [10:26<1:27:21,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  11%|█         | 427/4000 [10:28<1:27:12,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  11%|█         | 428/4000 [10:29<1:27:02,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  11%|█         | 429/4000 [10:31<1:27:21,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:32<00:22,  1.47s/it]
overall:  11%|█         | 430/4000 [10:32<1:27:14,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  11%|█         | 431/4000 [10:34<1:26:59,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.46s/it]
overall:  11%|█         | 432/4000 [10:35<1:27:11,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  11%|█         | 433/4000 [10:37<1:27:11,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  11%|█         | 434/4000 [10:38<1:26:56,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  11%|█         | 435/4000 [10:39<1:26:51,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  11%|█         | 436/4000 [10:41<1:26:46,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  11%|█         | 437/4000 [10:42<1:26:49,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  11%|█         | 438/4000 [10:44<1:26:46,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  11%|█         | 439/4000 [10:45<1:26:38,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  11%|█         | 440/4000 [10:47<1:26:20,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  11%|█         | 441/4000 [10:48<1:26:24,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  11%|█         | 442/4000 [10:50<1:26:25,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.46s/it]
overall:  11%|█         | 443/4000 [10:51<1:26:27,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  11%|█         | 444/4000 [10:52<1:23:37,  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: 2.0986216068267822
train acc: 0.33805668354034424
train loss: 2.033724308013916
train acc: 0.3709999918937683
train loss: 2.0574450492858887
train acc: 0.35199999809265137
train loss: 2.052440881729126
train acc: 0.33399999141693115


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  11%|█         | 445/4000 [10:55<1:40:38,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.24s/it]
overall:  11%|█         | 446/4000 [10:56<1:36:54,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  11%|█         | 447/4000 [10:58<1:33:39,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  11%|█         | 448/4000 [10:59<1:31:41,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  11%|█         | 449/4000 [11:01<1:30:12,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  11%|█▏        | 450/4000 [11:02<1:29:01,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  11%|█▏        | 451/4000 [11:04<1:28:13,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  11%|█▏        | 452/4000 [11:05<1:27:34,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  11%|█▏        | 453/4000 [11:07<1:27:13,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:  11%|█▏        | 454/4000 [11:08<1:26:54,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  11%|█▏        | 455/4000 [11:09<1:26:42,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  11%|█▏        | 456/4000 [11:11<1:26:44,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  11%|█▏        | 457/4000 [11:12<1:27:26,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  11%|█▏        | 458/4000 [11:14<1:28:04,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  11%|█▏        | 459/4000 [11:15<1:27:35,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  12%|█▏        | 460/4000 [11:17<1:27:18,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  12%|█▏        | 461/4000 [11:18<1:26:58,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  12%|█▏        | 462/4000 [11:20<1:26:42,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  12%|█▏        | 463/4000 [11:21<1:26:51,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  12%|█▏        | 464/4000 [11:23<1:26:48,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.47s/it]
overall:  12%|█▏        | 465/4000 [11:24<1:26:55,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  12%|█▏        | 466/4000 [11:26<1:26:42,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.47s/it]
overall:  12%|█▏        | 467/4000 [11:27<1:26:48,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  12%|█▏        | 468/4000 [11:29<1:26:32,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.47s/it]
overall:  12%|█▏        | 469/4000 [11:30<1:27:00,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  12%|█▏        | 470/4000 [11:32<1:26:40,  1.47s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.47s/it]
overall:  12%|█▏        | 471/4000 [11:33<1:26:23,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  12%|█▏        | 472/4000 [11:35<1:26:17,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  12%|█▏        | 473/4000 [11:36<1:26:23,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  12%|█▏        | 474/4000 [11:37<1:26:26,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  12%|█▏        | 475/4000 [11:39<1:26:12,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  12%|█▏        | 476/4000 [11:40<1:26:03,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  12%|█▏        | 477/4000 [11:42<1:26:13,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  12%|█▏        | 478/4000 [11:43<1:26:24,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  12%|█▏        | 479/4000 [11:45<1:26:33,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  12%|█▏        | 480/4000 [11:46<1:26:23,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  12%|█▏        | 481/4000 [11:48<1:23:24,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 2.0329842567443848
train acc: 0.32591092586517334
train loss: 2.0038697719573975
train acc: 0.3799999952316284
train loss: 2.056798219680786
train acc: 0.3499999940395355
train loss: 2.029536008834839
train acc: 0.34700000286102295


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  12%|█▏        | 482/4000 [11:50<1:38:40,  1.68s/it]

train:   3%|▎         | 1/37 [00:02<01:17,  2.16s/it]
overall:  12%|█▏        | 483/4000 [11:51<1:34:43,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.75s/it]
overall:  12%|█▏        | 484/4000 [11:53<1:31:57,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:54,  1.62s/it]
overall:  12%|█▏        | 485/4000 [11:54<1:30:02,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  12%|█▏        | 486/4000 [11:56<1:28:16,  1.51s/it]

train:  14%|█▎        | 5/37 [00:07<00:48,  1.51s/it]
overall:  12%|█▏        | 487/4000 [11:57<1:27:04,  1.49s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.49s/it]
overall:  12%|█▏        | 488/4000 [11:59<1:26:25,  1.48s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.48s/it]
overall:  12%|█▏        | 489/4000 [12:00<1:26:26,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  12%|█▏        | 490/4000 [12:02<1:26:09,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  12%|█▏        | 491/4000 [12:03<1:25:38,  1.46s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.46s/it]
overall:  12%|█▏        | 492/4000 [12:04<1:25:26,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:37,  1.46s/it]
overall:  12%|█▏        | 493/4000 [12:06<1:25:07,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  12%|█▏        | 494/4000 [12:07<1:25:29,  1.46s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.46s/it]
overall:  12%|█▏        | 495/4000 [12:09<1:25:37,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  12%|█▏        | 496/4000 [12:10<1:25:38,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  12%|█▏        | 497/4000 [12:12<1:25:50,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  12%|█▏        | 498/4000 [12:13<1:25:35,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  12%|█▏        | 499/4000 [12:15<1:25:27,  1.46s/it]

train:  49%|████▊     | 18/37 [00:26<00:27,  1.46s/it]
overall:  12%|█▎        | 500/4000 [12:16<1:25:21,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  13%|█▎        | 501/4000 [12:18<1:25:16,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:  13%|█▎        | 502/4000 [12:19<1:25:11,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  13%|█▎        | 503/4000 [12:21<1:25:08,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  13%|█▎        | 504/4000 [12:22<1:25:26,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  13%|█▎        | 505/4000 [12:24<1:25:19,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.46s/it]
overall:  13%|█▎        | 506/4000 [12:25<1:25:11,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  13%|█▎        | 507/4000 [12:26<1:25:06,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  13%|█▎        | 508/4000 [12:28<1:24:57,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  13%|█▎        | 509/4000 [12:29<1:25:01,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  13%|█▎        | 510/4000 [12:31<1:25:22,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  13%|█▎        | 511/4000 [12:32<1:25:23,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  13%|█▎        | 512/4000 [12:34<1:25:29,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  13%|█▎        | 513/4000 [12:35<1:25:21,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  13%|█▎        | 514/4000 [12:37<1:25:14,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.47s/it]
overall:  13%|█▎        | 515/4000 [12:38<1:25:10,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  13%|█▎        | 516/4000 [12:40<1:25:34,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.47s/it]
overall:  13%|█▎        | 517/4000 [12:41<1:25:22,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  13%|█▎        | 518/4000 [12:42<1:22:30,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 2.0309107303619385
train acc: 0.33906883001327515
train loss: 2.0169973373413086
train acc: 0.3490000069141388
train loss: 2.0216073989868164
train acc: 0.34200000762939453


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  13%|█▎        | 519/4000 [12:45<1:40:00,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  13%|█▎        | 520/4000 [12:46<1:35:21,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  13%|█▎        | 521/4000 [12:48<1:32:09,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  13%|█▎        | 522/4000 [12:49<1:29:54,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  13%|█▎        | 523/4000 [12:51<1:28:37,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  13%|█▎        | 524/4000 [12:52<1:27:24,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  13%|█▎        | 525/4000 [12:54<1:26:55,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.50s/it]
overall:  13%|█▎        | 526/4000 [12:55<1:26:09,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  13%|█▎        | 527/4000 [12:57<1:25:36,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  13%|█▎        | 528/4000 [12:58<1:25:27,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  13%|█▎        | 529/4000 [13:00<1:25:15,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  13%|█▎        | 530/4000 [13:01<1:25:00,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  13%|█▎        | 531/4000 [13:02<1:25:23,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  13%|█▎        | 532/4000 [13:04<1:25:09,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  13%|█▎        | 533/4000 [13:05<1:25:09,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  13%|█▎        | 534/4000 [13:07<1:24:38,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  13%|█▎        | 535/4000 [13:08<1:24:31,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  13%|█▎        | 536/4000 [13:10<1:24:16,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  13%|█▎        | 537/4000 [13:11<1:24:18,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  13%|█▎        | 538/4000 [13:13<1:24:14,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  13%|█▎        | 539/4000 [13:14<1:23:57,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  14%|█▎        | 540/4000 [13:16<1:24:16,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:  14%|█▎        | 541/4000 [13:17<1:24:19,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  14%|█▎        | 542/4000 [13:19<1:24:34,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.47s/it]
overall:  14%|█▎        | 543/4000 [13:20<1:25:06,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  14%|█▎        | 544/4000 [13:22<1:24:47,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  14%|█▎        | 545/4000 [13:23<1:24:47,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  14%|█▎        | 546/4000 [13:24<1:24:32,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  14%|█▎        | 547/4000 [13:26<1:24:25,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  14%|█▎        | 548/4000 [13:27<1:24:15,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  14%|█▎        | 549/4000 [13:29<1:24:10,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  14%|█▍        | 550/4000 [13:30<1:24:04,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  14%|█▍        | 551/4000 [13:32<1:23:55,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  14%|█▍        | 552/4000 [13:33<1:23:59,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  14%|█▍        | 553/4000 [13:35<1:24:07,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  14%|█▍        | 554/4000 [13:36<1:24:16,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  14%|█▍        | 555/4000 [13:37<1:21:32,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.981999397277832
train acc: 0.3461538553237915
train loss: 2.009413719177246
train acc: 0.35499998927116394
train loss: 2.0281362533569336
train acc: 0.34700000286102295
train loss: 2.001783609390259
train acc: 0.3370000123977661


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  14%|█▍        | 556/4000 [13:40<1:39:28,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  14%|█▍        | 557/4000 [13:41<1:34:35,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  14%|█▍        | 558/4000 [13:43<1:31:04,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  14%|█▍        | 559/4000 [13:44<1:28:31,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  14%|█▍        | 560/4000 [13:46<1:26:44,  1.51s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.52s/it]
overall:  14%|█▍        | 561/4000 [13:47<1:26:02,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  14%|█▍        | 562/4000 [13:49<1:25:01,  1.48s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.48s/it]
overall:  14%|█▍        | 563/4000 [13:50<1:24:15,  1.47s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.47s/it]
overall:  14%|█▍        | 564/4000 [13:52<1:23:55,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  14%|█▍        | 565/4000 [13:53<1:24:09,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  14%|█▍        | 566/4000 [13:54<1:24:01,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  14%|█▍        | 567/4000 [13:56<1:24:07,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  14%|█▍        | 568/4000 [13:57<1:24:19,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  14%|█▍        | 569/4000 [13:59<1:23:45,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:  14%|█▍        | 570/4000 [14:00<1:23:32,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  14%|█▍        | 571/4000 [14:02<1:23:32,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  14%|█▍        | 572/4000 [14:03<1:23:16,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  14%|█▍        | 573/4000 [14:05<1:23:10,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  14%|█▍        | 574/4000 [14:06<1:23:12,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  14%|█▍        | 575/4000 [14:08<1:23:18,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  14%|█▍        | 576/4000 [14:09<1:23:13,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  14%|█▍        | 577/4000 [14:11<1:23:13,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  14%|█▍        | 578/4000 [14:12<1:23:27,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  14%|█▍        | 579/4000 [14:13<1:23:39,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.47s/it]
overall:  14%|█▍        | 580/4000 [14:15<1:24:19,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  15%|█▍        | 581/4000 [14:16<1:24:13,  1.48s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.48s/it]
overall:  15%|█▍        | 582/4000 [14:18<1:23:57,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  15%|█▍        | 583/4000 [14:19<1:23:35,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  15%|█▍        | 584/4000 [14:21<1:23:10,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  15%|█▍        | 585/4000 [14:22<1:23:02,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  15%|█▍        | 586/4000 [14:24<1:23:01,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  15%|█▍        | 587/4000 [14:25<1:23:00,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  15%|█▍        | 588/4000 [14:27<1:23:00,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  15%|█▍        | 589/4000 [14:28<1:22:58,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  15%|█▍        | 590/4000 [14:30<1:23:01,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.46s/it]
overall:  15%|█▍        | 591/4000 [14:31<1:23:16,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  15%|█▍        | 592/4000 [14:32<1:20:25,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 1.9671140909194946
train acc: 0.3572874367237091
train loss: 1.9642795324325562
train acc: 0.3540000021457672
train loss: 2.024022340774536
train acc: 0.32199999690055847
train loss: 1.9794666767120361
train acc: 0.3580000102519989


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  15%|█▍        | 593/4000 [14:35<1:37:52,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  15%|█▍        | 594/4000 [14:36<1:33:33,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  15%|█▍        | 595/4000 [14:38<1:30:40,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  15%|█▍        | 596/4000 [14:39<1:28:24,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  15%|█▍        | 597/4000 [14:41<1:26:37,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  15%|█▍        | 598/4000 [14:42<1:25:31,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  15%|█▍        | 599/4000 [14:44<1:24:55,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.50s/it]
overall:  15%|█▌        | 600/4000 [14:45<1:24:13,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  15%|█▌        | 601/4000 [14:47<1:23:45,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  15%|█▌        | 602/4000 [14:48<1:23:24,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  15%|█▌        | 603/4000 [14:49<1:23:18,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  15%|█▌        | 604/4000 [14:51<1:23:00,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  15%|█▌        | 605/4000 [14:52<1:23:27,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  15%|█▌        | 606/4000 [14:54<1:22:59,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  15%|█▌        | 607/4000 [14:55<1:22:43,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  15%|█▌        | 608/4000 [14:57<1:22:39,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  15%|█▌        | 609/4000 [14:58<1:22:22,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  15%|█▌        | 610/4000 [15:00<1:22:17,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  15%|█▌        | 611/4000 [15:01<1:22:14,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  15%|█▌        | 612/4000 [15:03<1:22:03,  1.45s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.45s/it]
overall:  15%|█▌        | 613/4000 [15:04<1:21:59,  1.45s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.45s/it]
overall:  15%|█▌        | 614/4000 [15:05<1:22:05,  1.45s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.45s/it]
overall:  15%|█▌        | 615/4000 [15:07<1:22:08,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  15%|█▌        | 616/4000 [15:08<1:22:17,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:  15%|█▌        | 617/4000 [15:10<1:22:49,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  15%|█▌        | 618/4000 [15:11<1:22:25,  1.46s/it]

train:  70%|███████   | 26/37 [00:39<00:19,  1.73s/it]
overall:  15%|█▌        | 619/4000 [15:14<1:37:51,  1.74s/it]

train:  73%|███████▎  | 27/37 [00:41<00:16,  1.65s/it]
overall:  16%|█▌        | 620/4000 [15:15<1:33:27,  1.66s/it]

train:  76%|███████▌  | 28/37 [00:42<00:14,  1.60s/it]
overall:  16%|█▌        | 621/4000 [15:17<1:30:02,  1.60s/it]

train:  78%|███████▊  | 29/37 [00:44<00:12,  1.56s/it]
overall:  16%|█▌        | 622/4000 [15:18<1:27:40,  1.56s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.53s/it]
overall:  16%|█▌        | 623/4000 [15:20<1:26:04,  1.53s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.51s/it]
overall:  16%|█▌        | 624/4000 [15:21<1:24:50,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  16%|█▌        | 625/4000 [15:22<1:24:15,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.49s/it]
overall:  16%|█▌        | 626/4000 [15:24<1:23:36,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  16%|█▌        | 627/4000 [15:25<1:23:06,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:  16%|█▌        | 628/4000 [15:27<1:22:51,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.47s/it]
overall:  16%|█▌        | 629/4000 [15:28<1:19:47,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.975568413734436
train acc: 0.37348178029060364
train loss: 2.007676601409912
train acc: 0.3440000116825104
train loss: 1.9763219356536865
train acc: 0.34299999475479126


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  16%|█▌        | 630/4000 [15:31<1:37:06,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  16%|█▌        | 631/4000 [15:32<1:33:00,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  16%|█▌        | 632/4000 [15:34<1:30:00,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  16%|█▌        | 633/4000 [15:35<1:27:35,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  16%|█▌        | 634/4000 [15:37<1:25:51,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  16%|█▌        | 635/4000 [15:38<1:24:41,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  16%|█▌        | 636/4000 [15:39<1:23:45,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  16%|█▌        | 637/4000 [15:41<1:23:16,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  16%|█▌        | 638/4000 [15:42<1:23:01,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  16%|█▌        | 639/4000 [15:44<1:22:39,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  16%|█▌        | 640/4000 [15:45<1:22:23,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  16%|█▌        | 641/4000 [15:47<1:22:07,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  16%|█▌        | 642/4000 [15:48<1:22:04,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  16%|█▌        | 643/4000 [15:50<1:22:09,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  16%|█▌        | 644/4000 [15:51<1:22:07,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  16%|█▌        | 645/4000 [15:53<1:21:55,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  16%|█▌        | 646/4000 [15:54<1:21:48,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  16%|█▌        | 647/4000 [15:56<1:22:24,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.47s/it]
overall:  16%|█▌        | 648/4000 [15:57<1:22:06,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  16%|█▌        | 649/4000 [15:58<1:21:54,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.47s/it]
overall:  16%|█▋        | 650/4000 [16:00<1:22:05,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  16%|█▋        | 651/4000 [16:01<1:22:38,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  16%|█▋        | 652/4000 [16:03<1:22:09,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  16%|█▋        | 653/4000 [16:04<1:22:07,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.47s/it]
overall:  16%|█▋        | 654/4000 [16:06<1:22:02,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  16%|█▋        | 655/4000 [16:07<1:22:05,  1.47s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.47s/it]
overall:  16%|█▋        | 656/4000 [16:09<1:21:55,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  16%|█▋        | 657/4000 [16:10<1:22:13,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.48s/it]
overall:  16%|█▋        | 658/4000 [16:12<1:22:17,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  16%|█▋        | 659/4000 [16:13<1:22:25,  1.48s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.48s/it]
overall:  16%|█▋        | 660/4000 [16:15<1:22:16,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  17%|█▋        | 661/4000 [16:16<1:21:55,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  17%|█▋        | 662/4000 [16:18<1:21:50,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  17%|█▋        | 663/4000 [16:19<1:21:51,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  17%|█▋        | 664/4000 [16:21<1:22:03,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  17%|█▋        | 665/4000 [16:22<1:21:56,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  17%|█▋        | 666/4000 [16:23<1:19:02,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.9471232891082764
train acc: 0.36336031556129456
train loss: 1.9656089544296265
train acc: 0.3790000081062317
train loss: 1.9572985172271729
train acc: 0.3659999966621399
train loss: 1.9788744449615479
train acc: 0.37599998712539673


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  17%|█▋        | 667/4000 [16:26<1:36:57,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.37s/it]
overall:  17%|█▋        | 668/4000 [16:27<1:31:56,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  17%|█▋        | 669/4000 [16:29<1:28:37,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  17%|█▋        | 670/4000 [16:30<1:26:16,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  17%|█▋        | 671/4000 [16:32<1:24:24,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  17%|█▋        | 672/4000 [16:33<1:23:35,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  17%|█▋        | 673/4000 [16:35<1:22:32,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  17%|█▋        | 674/4000 [16:36<1:21:57,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  17%|█▋        | 675/4000 [16:38<1:21:35,  1.47s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.47s/it]
overall:  17%|█▋        | 676/4000 [16:39<1:21:30,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  17%|█▋        | 677/4000 [16:40<1:21:19,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  17%|█▋        | 678/4000 [16:42<1:21:03,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  17%|█▋        | 679/4000 [16:43<1:21:24,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  17%|█▋        | 680/4000 [16:45<1:21:06,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  17%|█▋        | 681/4000 [16:46<1:21:12,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  17%|█▋        | 682/4000 [16:48<1:21:01,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  17%|█▋        | 683/4000 [16:49<1:20:41,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  17%|█▋        | 684/4000 [16:51<1:20:39,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  17%|█▋        | 685/4000 [16:52<1:20:32,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  17%|█▋        | 686/4000 [16:54<1:20:18,  1.45s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.45s/it]
overall:  17%|█▋        | 687/4000 [16:55<1:20:21,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  17%|█▋        | 688/4000 [16:57<1:20:24,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  17%|█▋        | 689/4000 [16:58<1:20:20,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  17%|█▋        | 690/4000 [16:59<1:20:28,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:  17%|█▋        | 691/4000 [17:01<1:20:43,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  17%|█▋        | 692/4000 [17:02<1:20:33,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  17%|█▋        | 693/4000 [17:04<1:20:41,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  17%|█▋        | 694/4000 [17:05<1:20:48,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  17%|█▋        | 695/4000 [17:07<1:20:39,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  17%|█▋        | 696/4000 [17:08<1:20:31,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  17%|█▋        | 697/4000 [17:10<1:20:34,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  17%|█▋        | 698/4000 [17:11<1:20:30,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  17%|█▋        | 699/4000 [17:13<1:20:24,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  18%|█▊        | 700/4000 [17:14<1:20:22,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  18%|█▊        | 701/4000 [17:16<1:20:17,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  18%|█▊        | 702/4000 [17:17<1:20:49,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  18%|█▊        | 703/4000 [17:18<1:18:06,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 1.9505431652069092
train acc: 0.34008097648620605
train loss: 1.946351408958435
train acc: 0.36500000953674316
train loss: 1.9517478942871094
train acc: 0.36899998784065247
train loss: 1.9182460308074951
train acc: 0.3610000014305115


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  18%|█▊        | 704/4000 [17:21<1:35:08,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  18%|█▊        | 705/4000 [17:22<1:30:39,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  18%|█▊        | 706/4000 [17:24<1:27:25,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  18%|█▊        | 707/4000 [17:25<1:25:15,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  18%|█▊        | 708/4000 [17:27<1:23:40,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  18%|█▊        | 709/4000 [17:28<1:22:33,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  18%|█▊        | 710/4000 [17:30<1:21:47,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  18%|█▊        | 711/4000 [17:31<1:21:50,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  18%|█▊        | 712/4000 [17:33<1:21:18,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  18%|█▊        | 713/4000 [17:34<1:20:48,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  18%|█▊        | 714/4000 [17:35<1:20:17,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  18%|█▊        | 715/4000 [17:37<1:20:05,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  18%|█▊        | 716/4000 [17:38<1:20:19,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  18%|█▊        | 717/4000 [17:40<1:20:07,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:  18%|█▊        | 718/4000 [17:41<1:20:07,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  18%|█▊        | 719/4000 [17:43<1:19:47,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  18%|█▊        | 720/4000 [17:44<1:19:55,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  18%|█▊        | 721/4000 [17:46<1:19:37,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  18%|█▊        | 722/4000 [17:47<1:19:33,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  18%|█▊        | 723/4000 [17:49<1:19:51,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  18%|█▊        | 724/4000 [17:50<1:19:51,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  18%|█▊        | 725/4000 [17:52<1:20:21,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.47s/it]
overall:  18%|█▊        | 726/4000 [17:53<1:20:30,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  18%|█▊        | 727/4000 [17:54<1:20:30,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  18%|█▊        | 728/4000 [17:56<1:20:35,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  18%|█▊        | 729/4000 [17:57<1:20:16,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  18%|█▊        | 730/4000 [17:59<1:20:02,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  18%|█▊        | 731/4000 [18:00<1:20:28,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.48s/it]
overall:  18%|█▊        | 732/4000 [18:02<1:20:16,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  18%|█▊        | 733/4000 [18:03<1:19:54,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  18%|█▊        | 734/4000 [18:05<1:19:44,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  18%|█▊        | 735/4000 [18:06<1:19:45,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  18%|█▊        | 736/4000 [18:08<1:19:50,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  18%|█▊        | 737/4000 [18:09<1:20:08,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  18%|█▊        | 738/4000 [18:11<1:20:02,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:  18%|█▊        | 739/4000 [18:12<1:20:15,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.48s/it]
overall:  18%|█▊        | 740/4000 [18:13<1:17:28,  1.43s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.9922497272491455
train acc: 0.34210526943206787
train loss: 1.922825574874878
train acc: 0.39100000262260437
train loss: 1.911908507347107
train acc: 0.3799999952316284
train loss: 1.960821509361267
train acc: 0.34109312295913696


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  19%|█▊        | 741/4000 [18:16<1:33:51,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  19%|█▊        | 742/4000 [18:17<1:29:45,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  19%|█▊        | 743/4000 [18:19<1:26:36,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  19%|█▊        | 744/4000 [18:20<1:24:20,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  19%|█▊        | 745/4000 [18:22<1:22:46,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:  19%|█▊        | 746/4000 [18:23<1:21:35,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  19%|█▊        | 747/4000 [18:25<1:21:09,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  19%|█▊        | 748/4000 [18:26<1:20:18,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  19%|█▊        | 749/4000 [18:28<1:19:48,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  19%|█▉        | 750/4000 [18:29<1:19:34,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  19%|█▉        | 751/4000 [18:30<1:19:24,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  19%|█▉        | 752/4000 [18:32<1:19:16,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  19%|█▉        | 753/4000 [18:33<1:19:30,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  19%|█▉        | 754/4000 [18:35<1:19:19,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  19%|█▉        | 755/4000 [18:36<1:19:09,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  19%|█▉        | 756/4000 [18:38<1:19:09,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  19%|█▉        | 757/4000 [18:39<1:18:59,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  19%|█▉        | 758/4000 [18:41<1:18:55,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  19%|█▉        | 759/4000 [18:42<1:19:05,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  19%|█▉        | 760/4000 [18:44<1:18:53,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  19%|█▉        | 761/4000 [18:45<1:19:04,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  19%|█▉        | 762/4000 [18:47<1:19:02,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:  19%|█▉        | 763/4000 [18:48<1:18:56,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  19%|█▉        | 764/4000 [18:50<1:18:51,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.46s/it]
overall:  19%|█▉        | 765/4000 [18:51<1:19:15,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  19%|█▉        | 766/4000 [18:52<1:19:08,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  19%|█▉        | 767/4000 [18:54<1:18:45,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  19%|█▉        | 768/4000 [18:55<1:18:35,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  19%|█▉        | 769/4000 [18:57<1:18:21,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  19%|█▉        | 770/4000 [18:58<1:18:19,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  19%|█▉        | 771/4000 [19:00<1:18:27,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  19%|█▉        | 772/4000 [19:01<1:18:27,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  19%|█▉        | 773/4000 [19:03<1:18:26,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  19%|█▉        | 774/4000 [19:04<1:18:27,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  19%|█▉        | 775/4000 [19:06<1:18:30,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.46s/it]
overall:  19%|█▉        | 776/4000 [19:07<1:18:25,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  19%|█▉        | 777/4000 [19:08<1:15:54,  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: 1.9103715419769287
train acc: 0.382999986410141
train loss: 1.924403429031372
train acc: 0.35499998927116394
train loss: 1.918841004371643
train acc: 0.38100001215934753


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  19%|█▉        | 778/4000 [19:11<1:32:38,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  19%|█▉        | 779/4000 [19:12<1:28:12,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  20%|█▉        | 780/4000 [19:14<1:25:18,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  20%|█▉        | 781/4000 [19:15<1:23:27,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  20%|█▉        | 782/4000 [19:17<1:22:08,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  20%|█▉        | 783/4000 [19:18<1:21:03,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  20%|█▉        | 784/4000 [19:20<1:20:29,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.50s/it]
overall:  20%|█▉        | 785/4000 [19:21<1:20:09,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  20%|█▉        | 786/4000 [19:23<1:19:49,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.49s/it]
overall:  20%|█▉        | 787/4000 [19:24<1:19:19,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.48s/it]
overall:  20%|█▉        | 788/4000 [19:25<1:18:57,  1.48s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.48s/it]
overall:  20%|█▉        | 789/4000 [19:27<1:18:54,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  20%|█▉        | 790/4000 [19:28<1:19:27,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  20%|█▉        | 791/4000 [19:30<1:19:11,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.48s/it]
overall:  20%|█▉        | 792/4000 [19:31<1:18:54,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  20%|█▉        | 793/4000 [19:33<1:18:37,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  20%|█▉        | 794/4000 [19:34<1:18:38,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  20%|█▉        | 795/4000 [19:36<1:18:31,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  20%|█▉        | 796/4000 [19:37<1:18:18,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  20%|█▉        | 797/4000 [19:39<1:18:23,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.47s/it]
overall:  20%|█▉        | 798/4000 [19:40<1:18:20,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  20%|█▉        | 799/4000 [19:42<1:18:26,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.47s/it]
overall:  20%|██        | 800/4000 [19:43<1:18:18,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  20%|██        | 801/4000 [19:45<1:18:10,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.47s/it]
overall:  20%|██        | 802/4000 [19:46<1:18:36,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  20%|██        | 803/4000 [19:48<1:18:17,  1.47s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.47s/it]
overall:  20%|██        | 804/4000 [19:49<1:18:24,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  20%|██        | 805/4000 [19:50<1:17:58,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.46s/it]
overall:  20%|██        | 806/4000 [19:52<1:17:33,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  20%|██        | 807/4000 [19:53<1:17:34,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  20%|██        | 808/4000 [19:55<1:17:48,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  20%|██        | 809/4000 [19:56<1:18:01,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  20%|██        | 810/4000 [19:58<1:17:41,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  20%|██        | 811/4000 [19:59<1:17:36,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  20%|██        | 812/4000 [20:01<1:17:35,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  20%|██        | 813/4000 [20:02<1:17:32,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  20%|██        | 814/4000 [20:03<1:15:13,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.9673678874969482
train acc: 0.3704453408718109
train loss: 1.9236236810684204
train acc: 0.3840000033378601
train loss: 1.9491164684295654
train acc: 0.3490000069141388
train loss: 1.898925542831421
train acc: 0.38499999046325684


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  20%|██        | 815/4000 [20:06<1:31:31,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  20%|██        | 816/4000 [20:07<1:27:19,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  20%|██        | 817/4000 [20:09<1:24:17,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  20%|██        | 818/4000 [20:10<1:22:13,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  20%|██        | 819/4000 [20:12<1:21:00,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  20%|██        | 820/4000 [20:13<1:19:41,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  21%|██        | 821/4000 [20:15<1:18:54,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  21%|██        | 822/4000 [20:16<1:18:19,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  21%|██        | 823/4000 [20:18<1:18:06,  1.47s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  21%|██        | 824/4000 [20:19<1:17:49,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  21%|██        | 825/4000 [20:20<1:17:36,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  21%|██        | 826/4000 [20:22<1:17:25,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  21%|██        | 827/4000 [20:23<1:18:01,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  21%|██        | 828/4000 [20:25<1:17:59,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.48s/it]
overall:  21%|██        | 829/4000 [20:26<1:17:29,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  21%|██        | 830/4000 [20:28<1:17:22,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  21%|██        | 831/4000 [20:29<1:17:11,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  21%|██        | 832/4000 [20:31<1:17:05,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  21%|██        | 833/4000 [20:32<1:17:09,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  21%|██        | 834/4000 [20:34<1:17:19,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.47s/it]
overall:  21%|██        | 835/4000 [20:35<1:17:39,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  21%|██        | 836/4000 [20:37<1:17:18,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.47s/it]
overall:  21%|██        | 837/4000 [20:38<1:16:57,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  21%|██        | 838/4000 [20:40<1:16:54,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:  21%|██        | 839/4000 [20:41<1:17:06,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  21%|██        | 840/4000 [20:42<1:17:08,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  21%|██        | 841/4000 [20:44<1:17:00,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  21%|██        | 842/4000 [20:45<1:16:56,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  21%|██        | 843/4000 [20:47<1:16:48,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  21%|██        | 844/4000 [20:48<1:17:03,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  21%|██        | 845/4000 [20:50<1:16:45,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  21%|██        | 846/4000 [20:51<1:16:38,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  21%|██        | 847/4000 [20:53<1:16:44,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  21%|██        | 848/4000 [20:54<1:16:41,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  21%|██        | 849/4000 [20:56<1:16:34,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  21%|██▏       | 850/4000 [20:57<1:16:31,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  21%|██▏       | 851/4000 [20:58<1:14:06,  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: 1.8703533411026
train acc: 0.3714574873447418
train loss: 1.9358114004135132
train acc: 0.37400001287460327
train loss: 1.9347082376480103
train acc: 0.3630000054836273
train loss: 1.898769736289978
train acc: 0.35199999809265137


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  21%|██▏       | 852/4000 [21:01<1:28:23,  1.68s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  21%|██▏       | 853/4000 [21:02<1:25:25,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  21%|██▏       | 854/4000 [21:04<1:22:59,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  21%|██▏       | 855/4000 [21:05<1:21:07,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  21%|██▏       | 856/4000 [21:07<1:19:55,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  21%|██▏       | 857/4000 [21:08<1:18:58,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  21%|██▏       | 858/4000 [21:10<1:18:10,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  21%|██▏       | 859/4000 [21:11<1:17:38,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.48s/it]
overall:  22%|██▏       | 860/4000 [21:12<1:17:13,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:  22%|██▏       | 861/4000 [21:14<1:17:09,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  22%|██▏       | 862/4000 [21:15<1:17:00,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  22%|██▏       | 863/4000 [21:17<1:16:47,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  22%|██▏       | 864/4000 [21:18<1:16:55,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  22%|██▏       | 865/4000 [21:20<1:16:55,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  22%|██▏       | 866/4000 [21:21<1:16:48,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  22%|██▏       | 867/4000 [21:23<1:16:50,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  22%|██▏       | 868/4000 [21:24<1:16:38,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  22%|██▏       | 869/4000 [21:26<1:16:31,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  22%|██▏       | 870/4000 [21:27<1:16:39,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  22%|██▏       | 871/4000 [21:29<1:16:46,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.47s/it]
overall:  22%|██▏       | 872/4000 [21:30<1:16:36,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  22%|██▏       | 873/4000 [21:32<1:16:21,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:  22%|██▏       | 874/4000 [21:33<1:16:02,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  22%|██▏       | 875/4000 [21:34<1:16:00,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:  22%|██▏       | 876/4000 [21:36<1:16:26,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  22%|██▏       | 877/4000 [21:37<1:16:25,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  22%|██▏       | 878/4000 [21:39<1:16:12,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  22%|██▏       | 879/4000 [21:40<1:16:05,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  22%|██▏       | 880/4000 [21:42<1:16:01,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  22%|██▏       | 881/4000 [21:43<1:16:40,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  22%|██▏       | 882/4000 [21:45<1:16:43,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  22%|██▏       | 883/4000 [21:46<1:16:26,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  22%|██▏       | 884/4000 [21:48<1:16:12,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  22%|██▏       | 885/4000 [21:49<1:16:22,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  22%|██▏       | 886/4000 [21:51<1:16:29,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:  22%|██▏       | 887/4000 [21:52<1:16:35,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.48s/it]
overall:  22%|██▏       | 888/4000 [21:53<1:13:53,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.9226322174072266
train acc: 0.3674089014530182
train loss: 1.9010696411132812
train acc: 0.37700000405311584
train loss: 1.9027354717254639
train acc: 0.37700000405311584


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  22%|██▏       | 889/4000 [21:56<1:29:48,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  22%|██▏       | 890/4000 [21:57<1:25:49,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  22%|██▏       | 891/4000 [21:59<1:22:30,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  22%|██▏       | 892/4000 [22:00<1:20:23,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  22%|██▏       | 893/4000 [22:02<1:18:54,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:  22%|██▏       | 894/4000 [22:03<1:18:02,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  22%|██▏       | 895/4000 [22:05<1:17:27,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  22%|██▏       | 896/4000 [22:06<1:16:52,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  22%|██▏       | 897/4000 [22:08<1:16:39,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  22%|██▏       | 898/4000 [22:09<1:16:16,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  22%|██▏       | 899/4000 [22:10<1:16:00,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  22%|██▎       | 900/4000 [22:12<1:16:11,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  23%|██▎       | 901/4000 [22:13<1:16:14,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  23%|██▎       | 902/4000 [22:15<1:16:12,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.48s/it]
overall:  23%|██▎       | 903/4000 [22:16<1:16:01,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  23%|██▎       | 904/4000 [22:18<1:15:57,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  23%|██▎       | 905/4000 [22:19<1:15:53,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  23%|██▎       | 906/4000 [22:21<1:16:01,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.47s/it]
overall:  23%|██▎       | 907/4000 [22:22<1:16:00,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  23%|██▎       | 908/4000 [22:24<1:15:59,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.47s/it]
overall:  23%|██▎       | 909/4000 [22:25<1:15:49,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  23%|██▎       | 910/4000 [22:27<1:15:53,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.47s/it]
overall:  23%|██▎       | 911/4000 [22:28<1:15:55,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  23%|██▎       | 912/4000 [22:30<1:16:06,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  23%|██▎       | 913/4000 [22:31<1:16:13,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  23%|██▎       | 914/4000 [22:33<1:16:15,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  23%|██▎       | 915/4000 [22:34<1:15:54,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  23%|██▎       | 916/4000 [22:36<1:15:33,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.47s/it]
overall:  23%|██▎       | 917/4000 [22:37<1:15:14,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  23%|██▎       | 918/4000 [22:38<1:14:57,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  23%|██▎       | 919/4000 [22:40<1:14:41,  1.45s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.45s/it]
overall:  23%|██▎       | 920/4000 [22:41<1:14:45,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  23%|██▎       | 921/4000 [22:43<1:14:46,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  23%|██▎       | 922/4000 [22:44<1:14:47,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  23%|██▎       | 923/4000 [22:46<1:14:56,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  23%|██▎       | 924/4000 [22:47<1:14:58,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  23%|██▎       | 925/4000 [22:49<1:12:34,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.9033052921295166
train acc: 0.3684210479259491
train loss: 1.877959966659546
train acc: 0.4000000059604645
train loss: 1.8657798767089844
train acc: 0.3659999966621399
train loss: 1.9267085790634155
train acc: 0.3610000014305115


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  23%|██▎       | 926/4000 [22:51<1:28:31,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  23%|██▎       | 927/4000 [22:52<1:24:39,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  23%|██▎       | 928/4000 [22:54<1:21:38,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  23%|██▎       | 929/4000 [22:55<1:19:49,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  23%|██▎       | 930/4000 [22:57<1:18:19,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  23%|██▎       | 931/4000 [22:58<1:17:07,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  23%|██▎       | 932/4000 [23:00<1:16:23,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  23%|██▎       | 933/4000 [23:01<1:15:53,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  23%|██▎       | 934/4000 [23:03<1:15:29,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  23%|██▎       | 935/4000 [23:04<1:15:18,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  23%|██▎       | 936/4000 [23:06<1:15:13,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  23%|██▎       | 937/4000 [23:07<1:15:00,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  23%|██▎       | 938/4000 [23:09<1:15:21,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  23%|██▎       | 939/4000 [23:10<1:15:04,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  24%|██▎       | 940/4000 [23:12<1:14:56,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  24%|██▎       | 941/4000 [23:13<1:14:45,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  24%|██▎       | 942/4000 [23:14<1:14:38,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  24%|██▎       | 943/4000 [23:16<1:14:32,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  24%|██▎       | 944/4000 [23:17<1:14:26,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  24%|██▎       | 945/4000 [23:19<1:14:23,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  24%|██▎       | 946/4000 [23:20<1:14:24,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  24%|██▎       | 947/4000 [23:22<1:14:36,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.47s/it]
overall:  24%|██▎       | 948/4000 [23:23<1:14:28,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  24%|██▎       | 949/4000 [23:25<1:14:18,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:36<00:18,  1.46s/it]
overall:  24%|██▍       | 950/4000 [23:26<1:14:56,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  24%|██▍       | 951/4000 [23:28<1:14:42,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  24%|██▍       | 952/4000 [23:29<1:14:30,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  24%|██▍       | 953/4000 [23:31<1:14:17,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  24%|██▍       | 954/4000 [23:32<1:14:00,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  24%|██▍       | 955/4000 [23:33<1:13:57,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  24%|██▍       | 956/4000 [23:35<1:13:55,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  24%|██▍       | 957/4000 [23:36<1:14:18,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  24%|██▍       | 958/4000 [23:38<1:14:07,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  24%|██▍       | 959/4000 [23:39<1:13:51,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  24%|██▍       | 960/4000 [23:41<1:13:51,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  24%|██▍       | 961/4000 [23:42<1:14:03,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  24%|██▍       | 962/4000 [23:44<1:11:42,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.49s/it]
train loss: 1.9151763916015625
train acc: 0.3704453408718109
train loss: 1.9119983911514282
train acc: 0.34599998593330383
train loss: 1.884798288345337
train acc: 0.38600000739097595
train loss: 1.8736207485198975
train acc: 0.3869999945163727


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  24%|██▍       | 963/4000 [23:46<1:27:05,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  24%|██▍       | 964/4000 [23:47<1:23:28,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  24%|██▍       | 965/4000 [23:49<1:20:33,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  24%|██▍       | 966/4000 [23:50<1:18:30,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  24%|██▍       | 967/4000 [23:52<1:17:04,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  24%|██▍       | 968/4000 [23:53<1:16:03,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  24%|██▍       | 969/4000 [23:55<1:15:21,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  24%|██▍       | 970/4000 [23:56<1:15:02,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  24%|██▍       | 971/4000 [23:58<1:14:42,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  24%|██▍       | 972/4000 [23:59<1:14:22,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  24%|██▍       | 973/4000 [24:01<1:14:07,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  24%|██▍       | 974/4000 [24:02<1:13:58,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  24%|██▍       | 975/4000 [24:04<1:14:26,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  24%|██▍       | 976/4000 [24:05<1:14:10,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  24%|██▍       | 977/4000 [24:06<1:13:55,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  24%|██▍       | 978/4000 [24:08<1:14:02,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  24%|██▍       | 979/4000 [24:09<1:13:55,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  24%|██▍       | 980/4000 [24:11<1:13:46,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  25%|██▍       | 981/4000 [24:12<1:13:57,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  25%|██▍       | 982/4000 [24:14<1:14:18,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  25%|██▍       | 983/4000 [24:15<1:14:19,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  25%|██▍       | 984/4000 [24:17<1:14:07,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.47s/it]
overall:  25%|██▍       | 985/4000 [24:18<1:14:06,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  25%|██▍       | 986/4000 [24:20<1:13:45,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.47s/it]
overall:  25%|██▍       | 987/4000 [24:21<1:13:57,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  25%|██▍       | 988/4000 [24:23<1:13:31,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  25%|██▍       | 989/4000 [24:24<1:13:24,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  25%|██▍       | 990/4000 [24:26<1:13:20,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  25%|██▍       | 991/4000 [24:27<1:13:12,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  25%|██▍       | 992/4000 [24:28<1:12:58,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  25%|██▍       | 993/4000 [24:30<1:13:02,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  25%|██▍       | 994/4000 [24:31<1:13:09,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  25%|██▍       | 995/4000 [24:33<1:13:10,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  25%|██▍       | 996/4000 [24:34<1:13:16,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  25%|██▍       | 997/4000 [24:36<1:13:08,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  25%|██▍       | 998/4000 [24:37<1:13:14,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  25%|██▍       | 999/4000 [24:39<1:10:49,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.9136854410171509
train acc: 0.36538460850715637
train loss: 1.8829504251480103
train acc: 0.3400000035762787
train loss: 1.8551034927368164
train acc: 0.41200000047683716


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  25%|██▌       | 1000/4000 [24:41<1:23:54,  1.68s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.17s/it]
overall:  25%|██▌       | 1001/4000 [24:42<1:21:00,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.77s/it]
overall:  25%|██▌       | 1002/4000 [24:44<1:18:20,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.62s/it]
overall:  25%|██▌       | 1003/4000 [24:45<1:16:52,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  25%|██▌       | 1004/4000 [24:47<1:15:27,  1.51s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.52s/it]
overall:  25%|██▌       | 1005/4000 [24:48<1:14:34,  1.49s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  25%|██▌       | 1006/4000 [24:50<1:14:25,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:  25%|██▌       | 1007/4000 [24:51<1:14:14,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  25%|██▌       | 1008/4000 [24:53<1:13:48,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:  25%|██▌       | 1009/4000 [24:54<1:13:26,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  25%|██▌       | 1010/4000 [24:56<1:13:29,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.48s/it]
overall:  25%|██▌       | 1011/4000 [24:57<1:13:15,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  25%|██▌       | 1012/4000 [24:58<1:12:52,  1.46s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.46s/it]
overall:  25%|██▌       | 1013/4000 [25:00<1:12:42,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:  25%|██▌       | 1014/4000 [25:01<1:12:35,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  25%|██▌       | 1015/4000 [25:03<1:12:50,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  25%|██▌       | 1016/4000 [25:04<1:12:51,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  25%|██▌       | 1017/4000 [25:06<1:12:44,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  25%|██▌       | 1018/4000 [25:07<1:12:41,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  25%|██▌       | 1019/4000 [25:09<1:12:49,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.47s/it]
overall:  26%|██▌       | 1020/4000 [25:10<1:13:23,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  26%|██▌       | 1021/4000 [25:12<1:13:04,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:32<00:22,  1.47s/it]
overall:  26%|██▌       | 1022/4000 [25:13<1:12:48,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  26%|██▌       | 1023/4000 [25:15<1:12:38,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.46s/it]
overall:  26%|██▌       | 1024/4000 [25:16<1:12:39,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  26%|██▌       | 1025/4000 [25:17<1:12:52,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  26%|██▌       | 1026/4000 [25:19<1:12:42,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  26%|██▌       | 1027/4000 [25:20<1:12:45,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  26%|██▌       | 1028/4000 [25:22<1:12:43,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  26%|██▌       | 1029/4000 [25:23<1:12:31,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  26%|██▌       | 1030/4000 [25:25<1:12:32,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  26%|██▌       | 1031/4000 [25:26<1:12:19,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  26%|██▌       | 1032/4000 [25:28<1:12:33,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  26%|██▌       | 1033/4000 [25:29<1:12:43,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  26%|██▌       | 1034/4000 [25:31<1:12:44,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:  26%|██▌       | 1035/4000 [25:32<1:12:32,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  26%|██▌       | 1036/4000 [25:33<1:10:02,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 1.8788049221038818
train acc: 0.3836032450199127
train loss: 1.9080088138580322
train acc: 0.35100001096725464
train loss: 1.8871980905532837
train acc: 0.3779999911785126
train loss: 1.859644889831543
train acc: 0.39100000262260437


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  26%|██▌       | 1037/4000 [25:36<1:23:03,  1.68s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.17s/it]
overall:  26%|██▌       | 1038/4000 [25:37<1:19:50,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  26%|██▌       | 1039/4000 [25:39<1:17:39,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  26%|██▌       | 1040/4000 [25:40<1:16:03,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  26%|██▌       | 1041/4000 [25:42<1:15:05,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:  26%|██▌       | 1042/4000 [25:43<1:14:07,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  26%|██▌       | 1043/4000 [25:45<1:13:31,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:  26%|██▌       | 1044/4000 [25:46<1:12:56,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  26%|██▌       | 1045/4000 [25:47<1:12:38,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  26%|██▌       | 1046/4000 [25:49<1:12:22,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  26%|██▌       | 1047/4000 [25:50<1:12:05,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.46s/it]
overall:  26%|██▌       | 1048/4000 [25:52<1:12:09,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  26%|██▌       | 1049/4000 [25:53<1:12:14,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  26%|██▋       | 1050/4000 [25:55<1:12:00,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:  26%|██▋       | 1051/4000 [25:56<1:11:54,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  26%|██▋       | 1052/4000 [25:58<1:11:50,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  26%|██▋       | 1053/4000 [25:59<1:11:51,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  26%|██▋       | 1054/4000 [26:01<1:11:47,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  26%|██▋       | 1055/4000 [26:02<1:11:42,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  26%|██▋       | 1056/4000 [26:04<1:11:41,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:  26%|██▋       | 1057/4000 [26:05<1:11:49,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  26%|██▋       | 1058/4000 [26:06<1:11:44,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  26%|██▋       | 1059/4000 [26:08<1:11:55,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  26%|██▋       | 1060/4000 [26:09<1:11:50,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.47s/it]
overall:  27%|██▋       | 1061/4000 [26:11<1:12:18,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  27%|██▋       | 1062/4000 [26:12<1:12:19,  1.48s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.48s/it]
overall:  27%|██▋       | 1063/4000 [26:14<1:11:58,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  27%|██▋       | 1064/4000 [26:15<1:11:50,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  27%|██▋       | 1065/4000 [26:17<1:11:43,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  27%|██▋       | 1066/4000 [26:18<1:11:35,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  27%|██▋       | 1067/4000 [26:20<1:11:20,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  27%|██▋       | 1068/4000 [26:21<1:11:44,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  27%|██▋       | 1069/4000 [26:23<1:11:53,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  27%|██▋       | 1070/4000 [26:24<1:11:42,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  27%|██▋       | 1071/4000 [26:26<1:11:30,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.46s/it]
overall:  27%|██▋       | 1072/4000 [26:27<1:11:42,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  27%|██▋       | 1073/4000 [26:28<1:09:04,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 1.8530038595199585
train acc: 0.39777326583862305
train loss: 1.8269068002700806
train acc: 0.3930000066757202
train loss: 1.8750511407852173
train acc: 0.38999998569488525
train loss: 1.913821816444397
train acc: 0.3700000047683716


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  27%|██▋       | 1074/4000 [26:31<1:22:24,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  27%|██▋       | 1075/4000 [26:32<1:19:21,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  27%|██▋       | 1076/4000 [26:34<1:16:57,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  27%|██▋       | 1077/4000 [26:35<1:15:04,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  27%|██▋       | 1078/4000 [26:37<1:13:53,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  27%|██▋       | 1079/4000 [26:38<1:13:03,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  27%|██▋       | 1080/4000 [26:39<1:12:29,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:  27%|██▋       | 1081/4000 [26:41<1:12:27,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  27%|██▋       | 1082/4000 [26:42<1:12:05,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:  27%|██▋       | 1083/4000 [26:44<1:11:43,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  27%|██▋       | 1084/4000 [26:45<1:11:28,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  27%|██▋       | 1085/4000 [26:47<1:11:30,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  27%|██▋       | 1086/4000 [26:48<1:11:40,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  27%|██▋       | 1087/4000 [26:50<1:11:36,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  27%|██▋       | 1088/4000 [26:51<1:11:22,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  27%|██▋       | 1089/4000 [26:53<1:11:10,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  27%|██▋       | 1090/4000 [26:54<1:11:02,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  27%|██▋       | 1091/4000 [26:56<1:11:00,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  27%|██▋       | 1092/4000 [26:57<1:10:52,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  27%|██▋       | 1093/4000 [26:59<1:11:05,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.47s/it]
overall:  27%|██▋       | 1094/4000 [27:00<1:11:22,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  27%|██▋       | 1095/4000 [27:02<1:11:22,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.47s/it]
overall:  27%|██▋       | 1096/4000 [27:03<1:11:17,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  27%|██▋       | 1097/4000 [27:04<1:11:12,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.47s/it]
overall:  27%|██▋       | 1098/4000 [27:06<1:11:29,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  27%|██▋       | 1099/4000 [27:07<1:11:21,  1.48s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.48s/it]
overall:  28%|██▊       | 1100/4000 [27:09<1:11:46,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  28%|██▊       | 1101/4000 [27:10<1:11:24,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.48s/it]
overall:  28%|██▊       | 1102/4000 [27:12<1:11:07,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  28%|██▊       | 1103/4000 [27:13<1:11:02,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  28%|██▊       | 1104/4000 [27:15<1:10:58,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  28%|██▊       | 1105/4000 [27:16<1:11:06,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  28%|██▊       | 1106/4000 [27:18<1:10:52,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  28%|██▊       | 1107/4000 [27:19<1:10:46,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  28%|██▊       | 1108/4000 [27:21<1:12:59,  1.51s/it]

train:  95%|█████████▍| 35/37 [00:52<00:03,  1.51s/it]
overall:  28%|██▊       | 1109/4000 [27:22<1:12:19,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.50s/it]
overall:  28%|██▊       | 1110/4000 [27:24<1:09:28,  1.44s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.8490211963653564
train acc: 0.3704453408718109
train loss: 1.8830019235610962
train acc: 0.3479999899864197
train loss: 1.8245012760162354
train acc: 0.4099999964237213
train loss: 1.889107346534729
train acc: 0.37550607323646545


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  28%|██▊       | 1111/4000 [27:26<1:24:44,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.38s/it]
overall:  28%|██▊       | 1112/4000 [27:28<1:20:21,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  28%|██▊       | 1113/4000 [27:29<1:17:19,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  28%|██▊       | 1114/4000 [27:30<1:15:04,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  28%|██▊       | 1115/4000 [27:32<1:13:34,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  28%|██▊       | 1116/4000 [27:33<1:12:48,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  28%|██▊       | 1117/4000 [27:35<1:12:03,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.50s/it]
overall:  28%|██▊       | 1118/4000 [27:36<1:11:30,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  28%|██▊       | 1119/4000 [27:38<1:11:20,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.49s/it]
overall:  28%|██▊       | 1120/4000 [27:39<1:11:19,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  28%|██▊       | 1121/4000 [27:41<1:11:02,  1.48s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.48s/it]
overall:  28%|██▊       | 1122/4000 [27:42<1:11:01,  1.48s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.48s/it]
overall:  28%|██▊       | 1123/4000 [27:44<1:11:34,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  28%|██▊       | 1124/4000 [27:45<1:11:21,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  28%|██▊       | 1125/4000 [27:47<1:11:09,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  28%|██▊       | 1126/4000 [27:48<1:10:43,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  28%|██▊       | 1127/4000 [27:50<1:10:32,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  28%|██▊       | 1128/4000 [27:51<1:10:16,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  28%|██▊       | 1129/4000 [27:53<1:10:10,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  28%|██▊       | 1130/4000 [27:54<1:10:03,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  28%|██▊       | 1131/4000 [27:55<1:09:58,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  28%|██▊       | 1132/4000 [27:57<1:09:54,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:  28%|██▊       | 1133/4000 [27:58<1:09:50,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  28%|██▊       | 1134/4000 [28:00<1:09:49,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.46s/it]
overall:  28%|██▊       | 1135/4000 [28:01<1:10:29,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  28%|██▊       | 1136/4000 [28:03<1:10:17,  1.47s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.47s/it]
overall:  28%|██▊       | 1137/4000 [28:04<1:10:07,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  28%|██▊       | 1138/4000 [28:06<1:10:15,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.47s/it]
overall:  28%|██▊       | 1139/4000 [28:07<1:09:55,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  28%|██▊       | 1140/4000 [28:09<1:09:46,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  29%|██▊       | 1141/4000 [28:10<1:09:40,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  29%|██▊       | 1142/4000 [28:12<1:09:34,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  29%|██▊       | 1143/4000 [28:13<1:09:40,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  29%|██▊       | 1144/4000 [28:15<1:09:32,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  29%|██▊       | 1145/4000 [28:16<1:09:29,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  29%|██▊       | 1146/4000 [28:17<1:09:31,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  29%|██▊       | 1147/4000 [28:19<1:07:23,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.9025121927261353
train acc: 0.36800000071525574
train loss: 1.8104267120361328
train acc: 0.39500001072883606
train loss: 1.866539716720581
train acc: 0.3869999945163727


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  29%|██▊       | 1148/4000 [28:21<1:22:11,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  29%|██▊       | 1149/4000 [28:23<1:18:08,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  29%|██▉       | 1150/4000 [28:24<1:15:29,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  29%|██▉       | 1151/4000 [28:26<1:13:34,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  29%|██▉       | 1152/4000 [28:27<1:12:01,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  29%|██▉       | 1153/4000 [28:28<1:11:09,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  29%|██▉       | 1154/4000 [28:30<1:10:29,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  29%|██▉       | 1155/4000 [28:31<1:09:59,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  29%|██▉       | 1156/4000 [28:33<1:09:38,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  29%|██▉       | 1157/4000 [28:34<1:09:23,  1.46s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.46s/it]
overall:  29%|██▉       | 1158/4000 [28:36<1:09:17,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.46s/it]
overall:  29%|██▉       | 1159/4000 [28:37<1:09:01,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  29%|██▉       | 1160/4000 [28:39<1:09:24,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  29%|██▉       | 1161/4000 [28:40<1:09:26,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  29%|██▉       | 1162/4000 [28:42<1:09:03,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  29%|██▉       | 1163/4000 [28:43<1:09:03,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  29%|██▉       | 1164/4000 [28:45<1:08:58,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  29%|██▉       | 1165/4000 [28:46<1:08:52,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  29%|██▉       | 1166/4000 [28:47<1:08:41,  1.45s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.45s/it]
overall:  29%|██▉       | 1167/4000 [28:49<1:08:43,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:  29%|██▉       | 1168/4000 [28:50<1:09:12,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  29%|██▉       | 1169/4000 [28:52<1:08:56,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  29%|██▉       | 1170/4000 [28:53<1:08:36,  1.45s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.45s/it]
overall:  29%|██▉       | 1171/4000 [28:55<1:08:22,  1.45s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.45s/it]
overall:  29%|██▉       | 1172/4000 [28:56<1:08:22,  1.45s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.45s/it]
overall:  29%|██▉       | 1173/4000 [28:58<1:08:29,  1.45s/it]

train:  70%|███████   | 26/37 [00:38<00:15,  1.45s/it]
overall:  29%|██▉       | 1174/4000 [28:59<1:08:21,  1.45s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.45s/it]
overall:  29%|██▉       | 1175/4000 [29:01<1:08:22,  1.45s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.45s/it]
overall:  29%|██▉       | 1176/4000 [29:02<1:08:14,  1.45s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.45s/it]
overall:  29%|██▉       | 1177/4000 [29:03<1:08:16,  1.45s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.45s/it]
overall:  29%|██▉       | 1178/4000 [29:05<1:08:09,  1.45s/it]

train:  84%|████████▍ | 31/37 [00:45<00:08,  1.45s/it]
overall:  29%|██▉       | 1179/4000 [29:06<1:08:26,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  30%|██▉       | 1180/4000 [29:08<1:08:19,  1.45s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.45s/it]
overall:  30%|██▉       | 1181/4000 [29:09<1:08:22,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  30%|██▉       | 1182/4000 [29:11<1:08:13,  1.45s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.45s/it]
overall:  30%|██▉       | 1183/4000 [29:12<1:08:07,  1.45s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.45s/it]
overall:  30%|██▉       | 1184/4000 [29:13<1:05:58,  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: 1.849496841430664
train acc: 0.39170041680336
train loss: 1.8833701610565186
train acc: 0.3880000114440918
train loss: 1.8372770547866821
train acc: 0.37299999594688416
train loss: 1.873736023902893
train acc: 0.3799999952316284


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  30%|██▉       | 1185/4000 [29:16<1:21:23,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.37s/it]
overall:  30%|██▉       | 1186/4000 [29:17<1:17:29,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  30%|██▉       | 1187/4000 [29:19<1:14:44,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  30%|██▉       | 1188/4000 [29:20<1:13:07,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  30%|██▉       | 1189/4000 [29:22<1:11:58,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  30%|██▉       | 1190/4000 [29:23<1:11:04,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  30%|██▉       | 1191/4000 [29:25<1:10:30,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  30%|██▉       | 1192/4000 [29:26<1:09:54,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  30%|██▉       | 1193/4000 [29:28<1:09:24,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  30%|██▉       | 1194/4000 [29:29<1:09:03,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  30%|██▉       | 1195/4000 [29:31<1:08:55,  1.47s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.47s/it]
overall:  30%|██▉       | 1196/4000 [29:32<1:09:01,  1.48s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.48s/it]
overall:  30%|██▉       | 1197/4000 [29:34<1:09:35,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  30%|██▉       | 1198/4000 [29:35<1:09:12,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.48s/it]
overall:  30%|██▉       | 1199/4000 [29:37<1:08:51,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  30%|███       | 1200/4000 [29:38<1:08:34,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  30%|███       | 1201/4000 [29:39<1:08:23,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  30%|███       | 1202/4000 [29:41<1:08:34,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  30%|███       | 1203/4000 [29:42<1:08:26,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  30%|███       | 1204/4000 [29:44<1:08:18,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.47s/it]
overall:  30%|███       | 1205/4000 [29:45<1:08:22,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  30%|███       | 1206/4000 [29:47<1:08:15,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.47s/it]
overall:  30%|███       | 1207/4000 [29:48<1:08:07,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  30%|███       | 1208/4000 [29:50<1:07:53,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:36<00:18,  1.46s/it]
overall:  30%|███       | 1209/4000 [29:51<1:08:17,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  30%|███       | 1210/4000 [29:53<1:08:17,  1.47s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.47s/it]
overall:  30%|███       | 1211/4000 [29:54<1:08:19,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  30%|███       | 1212/4000 [29:56<1:08:20,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.47s/it]
overall:  30%|███       | 1213/4000 [29:57<1:08:02,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  30%|███       | 1214/4000 [29:59<1:07:53,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  30%|███       | 1215/4000 [30:00<1:07:49,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  30%|███       | 1216/4000 [30:01<1:07:46,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  30%|███       | 1217/4000 [30:03<1:07:48,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  30%|███       | 1218/4000 [30:04<1:07:55,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  30%|███       | 1219/4000 [30:06<1:07:57,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:  30%|███       | 1220/4000 [30:07<1:08:00,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  31%|███       | 1221/4000 [30:09<1:05:47,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.8446648120880127
train acc: 0.38765183091163635
train loss: 1.8345626592636108
train acc: 0.38600000739097595
train loss: 1.827892541885376
train acc: 0.37599998712539673
train loss: 1.8498189449310303
train acc: 0.39500001072883606


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  31%|███       | 1222/4000 [30:11<1:18:09,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  31%|███       | 1223/4000 [30:12<1:14:57,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  31%|███       | 1224/4000 [30:14<1:12:55,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  31%|███       | 1225/4000 [30:15<1:11:33,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  31%|███       | 1226/4000 [30:17<1:10:38,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  31%|███       | 1227/4000 [30:18<1:09:48,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.52s/it]
overall:  31%|███       | 1228/4000 [30:20<1:09:09,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  31%|███       | 1229/4000 [30:21<1:08:41,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  31%|███       | 1230/4000 [30:23<1:08:30,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:  31%|███       | 1231/4000 [30:24<1:08:12,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  31%|███       | 1232/4000 [30:26<1:07:55,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  31%|███       | 1233/4000 [30:27<1:07:44,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  31%|███       | 1234/4000 [30:29<1:07:51,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  31%|███       | 1235/4000 [30:30<1:07:35,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  31%|███       | 1236/4000 [30:32<1:07:59,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  31%|███       | 1237/4000 [30:33<1:07:48,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  31%|███       | 1238/4000 [30:34<1:08:05,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  31%|███       | 1239/4000 [30:36<1:08:03,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  31%|███       | 1240/4000 [30:37<1:07:46,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  31%|███       | 1241/4000 [30:39<1:07:39,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.47s/it]
overall:  31%|███       | 1242/4000 [30:40<1:07:28,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  31%|███       | 1243/4000 [30:42<1:07:15,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:  31%|███       | 1244/4000 [30:43<1:06:58,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  31%|███       | 1245/4000 [30:45<1:07:08,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.46s/it]
overall:  31%|███       | 1246/4000 [30:46<1:07:06,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  31%|███       | 1247/4000 [30:48<1:07:16,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  31%|███       | 1248/4000 [30:49<1:07:10,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  31%|███       | 1249/4000 [30:51<1:06:54,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  31%|███▏      | 1250/4000 [30:52<1:06:54,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  31%|███▏      | 1251/4000 [30:54<1:07:07,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  31%|███▏      | 1252/4000 [30:55<1:07:02,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  31%|███▏      | 1253/4000 [30:56<1:07:07,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  31%|███▏      | 1254/4000 [30:58<1:06:50,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  31%|███▏      | 1255/4000 [30:59<1:06:43,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  31%|███▏      | 1256/4000 [31:01<1:06:42,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  31%|███▏      | 1257/4000 [31:02<1:06:42,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  31%|███▏      | 1258/4000 [31:04<1:04:33,  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: 1.8699973821640015
train acc: 0.3562752902507782
train loss: 1.8663394451141357
train acc: 0.37299999594688416
train loss: 1.8173952102661133
train acc: 0.3970000147819519


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  31%|███▏      | 1259/4000 [31:06<1:18:47,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  32%|███▏      | 1260/4000 [31:07<1:15:13,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  32%|███▏      | 1261/4000 [31:09<1:12:48,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  32%|███▏      | 1262/4000 [31:10<1:10:44,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  32%|███▏      | 1263/4000 [31:12<1:09:24,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:  32%|███▏      | 1264/4000 [31:13<1:08:19,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  32%|███▏      | 1265/4000 [31:15<1:07:44,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  32%|███▏      | 1266/4000 [31:16<1:07:21,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  32%|███▏      | 1267/4000 [31:18<1:07:05,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  32%|███▏      | 1268/4000 [31:19<1:06:44,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  32%|███▏      | 1269/4000 [31:21<1:06:30,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:37,  1.46s/it]
overall:  32%|███▏      | 1270/4000 [31:22<1:06:27,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  32%|███▏      | 1271/4000 [31:24<1:06:30,  1.46s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.46s/it]
overall:  32%|███▏      | 1272/4000 [31:25<1:06:38,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  32%|███▏      | 1273/4000 [31:26<1:06:30,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  32%|███▏      | 1274/4000 [31:28<1:06:36,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  32%|███▏      | 1275/4000 [31:29<1:06:47,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  32%|███▏      | 1276/4000 [31:31<1:06:41,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  32%|███▏      | 1277/4000 [31:32<1:06:30,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  32%|███▏      | 1278/4000 [31:34<1:06:26,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  32%|███▏      | 1279/4000 [31:35<1:06:20,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  32%|███▏      | 1280/4000 [31:37<1:06:18,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  32%|███▏      | 1281/4000 [31:38<1:06:13,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  32%|███▏      | 1282/4000 [31:40<1:06:25,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.47s/it]
overall:  32%|███▏      | 1283/4000 [31:41<1:06:19,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  32%|███▏      | 1284/4000 [31:43<1:06:13,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  32%|███▏      | 1285/4000 [31:44<1:06:08,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  32%|███▏      | 1286/4000 [31:45<1:06:16,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  32%|███▏      | 1287/4000 [31:47<1:06:43,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  32%|███▏      | 1288/4000 [31:48<1:06:34,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  32%|███▏      | 1289/4000 [31:50<1:06:21,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  32%|███▏      | 1290/4000 [31:51<1:06:13,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  32%|███▏      | 1291/4000 [31:53<1:06:22,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  32%|███▏      | 1292/4000 [31:54<1:06:18,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  32%|███▏      | 1293/4000 [31:56<1:06:27,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:  32%|███▏      | 1294/4000 [31:57<1:06:21,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  32%|███▏      | 1295/4000 [31:59<1:04:10,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.8151931762695312
train acc: 0.38866397738456726
train loss: 1.8308480978012085
train acc: 0.3799999952316284
train loss: 1.829538345336914
train acc: 0.3970000147819519
train loss: 1.8170684576034546
train acc: 0.382999986410141


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  32%|███▏      | 1296/4000 [32:01<1:17:58,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  32%|███▏      | 1297/4000 [32:03<1:14:42,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  32%|███▏      | 1298/4000 [32:04<1:12:06,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  32%|███▏      | 1299/4000 [32:05<1:10:10,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  32%|███▎      | 1300/4000 [32:07<1:08:48,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  33%|███▎      | 1301/4000 [32:08<1:08:02,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  33%|███▎      | 1302/4000 [32:10<1:07:21,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  33%|███▎      | 1303/4000 [32:11<1:06:45,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  33%|███▎      | 1304/4000 [32:13<1:06:12,  1.47s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.47s/it]
overall:  33%|███▎      | 1305/4000 [32:14<1:05:58,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  33%|███▎      | 1306/4000 [32:16<1:05:50,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  33%|███▎      | 1307/4000 [32:17<1:06:09,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  33%|███▎      | 1308/4000 [32:19<1:06:01,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  33%|███▎      | 1309/4000 [32:20<1:05:51,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  33%|███▎      | 1310/4000 [32:22<1:05:39,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  33%|███▎      | 1311/4000 [32:23<1:05:24,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  33%|███▎      | 1312/4000 [32:24<1:05:19,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  33%|███▎      | 1313/4000 [32:26<1:05:19,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  33%|███▎      | 1314/4000 [32:27<1:05:13,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  33%|███▎      | 1315/4000 [32:29<1:05:04,  1.45s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.45s/it]
overall:  33%|███▎      | 1316/4000 [32:30<1:05:02,  1.45s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.45s/it]
overall:  33%|███▎      | 1317/4000 [32:32<1:05:08,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  33%|███▎      | 1318/4000 [32:33<1:05:26,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  33%|███▎      | 1319/4000 [32:35<1:05:20,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.46s/it]
overall:  33%|███▎      | 1320/4000 [32:36<1:05:34,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  33%|███▎      | 1321/4000 [32:38<1:05:41,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  33%|███▎      | 1322/4000 [32:39<1:05:21,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  33%|███▎      | 1323/4000 [32:41<1:05:09,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  33%|███▎      | 1324/4000 [32:42<1:04:50,  1.45s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.45s/it]
overall:  33%|███▎      | 1325/4000 [32:43<1:04:43,  1.45s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.45s/it]
overall:  33%|███▎      | 1326/4000 [32:45<1:04:38,  1.45s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.45s/it]
overall:  33%|███▎      | 1327/4000 [32:46<1:04:44,  1.45s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.45s/it]
overall:  33%|███▎      | 1328/4000 [32:48<1:04:37,  1.45s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.45s/it]
overall:  33%|███▎      | 1329/4000 [32:49<1:04:36,  1.45s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.45s/it]
overall:  33%|███▎      | 1330/4000 [32:51<1:04:30,  1.45s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.45s/it]
overall:  33%|███▎      | 1331/4000 [32:52<1:04:22,  1.45s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.45s/it]
overall:  33%|███▎      | 1332/4000 [32:53<1:02:16,  1.40s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.40s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 1.8303524255752563
train acc: 0.3957490026950836
train loss: 1.846742868423462
train acc: 0.38199999928474426
train loss: 1.870359182357788
train acc: 0.3709999918937683
train loss: 1.826692819595337
train acc: 0.38600000739097595


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  33%|███▎      | 1333/4000 [32:56<1:14:12,  1.67s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  33%|███▎      | 1334/4000 [32:57<1:11:29,  1.61s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  33%|███▎      | 1335/4000 [32:59<1:09:41,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  33%|███▎      | 1336/4000 [33:00<1:08:24,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  33%|███▎      | 1337/4000 [33:02<1:07:23,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:  33%|███▎      | 1338/4000 [33:03<1:07:17,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  33%|███▎      | 1339/4000 [33:05<1:06:36,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  34%|███▎      | 1340/4000 [33:06<1:06:01,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  34%|███▎      | 1341/4000 [33:07<1:05:41,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:  34%|███▎      | 1342/4000 [33:09<1:05:31,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  34%|███▎      | 1343/4000 [33:10<1:05:25,  1.48s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.48s/it]
overall:  34%|███▎      | 1344/4000 [33:12<1:05:14,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  34%|███▎      | 1345/4000 [33:13<1:05:06,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  34%|███▎      | 1346/4000 [33:15<1:05:07,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  34%|███▎      | 1347/4000 [33:16<1:04:57,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  34%|███▎      | 1348/4000 [33:18<1:05:13,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.48s/it]
overall:  34%|███▎      | 1349/4000 [33:19<1:05:07,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  34%|███▍      | 1350/4000 [33:21<1:05:21,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  34%|███▍      | 1351/4000 [33:22<1:05:04,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  34%|███▍      | 1352/4000 [33:24<1:04:51,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.47s/it]
overall:  34%|███▍      | 1353/4000 [33:25<1:04:42,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  34%|███▍      | 1354/4000 [33:27<1:04:35,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:  34%|███▍      | 1355/4000 [33:28<1:04:41,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  34%|███▍      | 1356/4000 [33:30<1:04:38,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.47s/it]
overall:  34%|███▍      | 1357/4000 [33:31<1:04:46,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  34%|███▍      | 1358/4000 [33:32<1:04:35,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  34%|███▍      | 1359/4000 [33:34<1:04:28,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  34%|███▍      | 1360/4000 [33:35<1:04:20,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  34%|███▍      | 1361/4000 [33:37<1:04:14,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  34%|███▍      | 1362/4000 [33:38<1:04:28,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  34%|███▍      | 1363/4000 [33:40<1:04:22,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  34%|███▍      | 1364/4000 [33:41<1:04:16,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  34%|███▍      | 1365/4000 [33:43<1:04:14,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  34%|███▍      | 1366/4000 [33:44<1:04:09,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  34%|███▍      | 1367/4000 [33:46<1:04:05,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  34%|███▍      | 1368/4000 [33:47<1:04:02,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  34%|███▍      | 1369/4000 [33:48<1:01:58,  1.41s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.41s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.49s/it]
train loss: 1.8160741329193115
train acc: 0.38866397738456726
train loss: 1.8129411935806274
train acc: 0.4020000100135803
train loss: 1.8716914653778076
train acc: 0.3869999945163727


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  34%|███▍      | 1370/4000 [33:51<1:15:27,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  34%|███▍      | 1371/4000 [33:52<1:11:57,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  34%|███▍      | 1372/4000 [33:54<1:09:17,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  34%|███▍      | 1373/4000 [33:55<1:07:33,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  34%|███▍      | 1374/4000 [33:57<1:06:14,  1.51s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.52s/it]
overall:  34%|███▍      | 1375/4000 [33:58<1:05:26,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  34%|███▍      | 1376/4000 [34:00<1:04:53,  1.48s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  34%|███▍      | 1377/4000 [34:01<1:04:39,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  34%|███▍      | 1378/4000 [34:02<1:04:23,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  34%|███▍      | 1379/4000 [34:04<1:04:06,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  34%|███▍      | 1380/4000 [34:05<1:03:52,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.46s/it]
overall:  35%|███▍      | 1381/4000 [34:07<1:03:43,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  35%|███▍      | 1382/4000 [34:08<1:03:38,  1.46s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.46s/it]
overall:  35%|███▍      | 1383/4000 [34:10<1:03:57,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  35%|███▍      | 1384/4000 [34:11<1:03:50,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  35%|███▍      | 1385/4000 [34:13<1:03:42,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  35%|███▍      | 1386/4000 [34:14<1:03:28,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  35%|███▍      | 1387/4000 [34:16<1:03:27,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  35%|███▍      | 1388/4000 [34:17<1:03:27,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  35%|███▍      | 1389/4000 [34:18<1:03:39,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  35%|███▍      | 1390/4000 [34:20<1:03:36,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  35%|███▍      | 1391/4000 [34:21<1:03:47,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:32<00:22,  1.47s/it]
overall:  35%|███▍      | 1392/4000 [34:23<1:04:01,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  35%|███▍      | 1393/4000 [34:24<1:03:44,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.47s/it]
overall:  35%|███▍      | 1394/4000 [34:26<1:03:41,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  35%|███▍      | 1395/4000 [34:27<1:03:49,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  35%|███▍      | 1396/4000 [34:29<1:03:39,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  35%|███▍      | 1397/4000 [34:30<1:03:31,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  35%|███▍      | 1398/4000 [34:32<1:03:24,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  35%|███▍      | 1399/4000 [34:33<1:03:24,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  35%|███▌      | 1400/4000 [34:35<1:03:32,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  35%|███▌      | 1401/4000 [34:36<1:03:25,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.49s/it]
overall:  35%|███▌      | 1402/4000 [34:38<1:04:11,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  35%|███▌      | 1403/4000 [34:39<1:03:46,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  35%|███▌      | 1404/4000 [34:41<1:03:24,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  35%|███▌      | 1405/4000 [34:42<1:03:13,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  35%|███▌      | 1406/4000 [34:43<1:01:17,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 1.7986879348754883
train acc: 0.3937247097492218
train loss: 1.840378999710083
train acc: 0.40299999713897705
train loss: 1.7951068878173828
train acc: 0.414000004529953
train loss: 1.817647933959961
train acc: 0.38999998569488525


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  35%|███▌      | 1407/4000 [34:46<1:12:49,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.17s/it]
overall:  35%|███▌      | 1408/4000 [34:47<1:09:52,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.75s/it]
overall:  35%|███▌      | 1409/4000 [34:49<1:07:49,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.62s/it]
overall:  35%|███▌      | 1410/4000 [34:50<1:06:20,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  35%|███▌      | 1411/4000 [34:51<1:05:33,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  35%|███▌      | 1412/4000 [34:53<1:04:46,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  35%|███▌      | 1413/4000 [34:54<1:04:12,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:  35%|███▌      | 1414/4000 [34:56<1:03:58,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.48s/it]
overall:  35%|███▌      | 1415/4000 [34:57<1:03:26,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  35%|███▌      | 1416/4000 [34:59<1:03:00,  1.46s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.46s/it]
overall:  35%|███▌      | 1417/4000 [35:00<1:02:52,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:37,  1.46s/it]
overall:  35%|███▌      | 1418/4000 [35:02<1:02:38,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  35%|███▌      | 1419/4000 [35:03<1:02:52,  1.46s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.46s/it]
overall:  36%|███▌      | 1420/4000 [35:05<1:02:53,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:  36%|███▌      | 1421/4000 [35:06<1:02:43,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  36%|███▌      | 1422/4000 [35:07<1:02:31,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  36%|███▌      | 1423/4000 [35:09<1:02:29,  1.45s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.45s/it]
overall:  36%|███▌      | 1424/4000 [35:10<1:02:26,  1.45s/it]

train:  49%|████▊     | 18/37 [00:26<00:27,  1.45s/it]
overall:  36%|███▌      | 1425/4000 [35:12<1:02:26,  1.45s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.45s/it]
overall:  36%|███▌      | 1426/4000 [35:13<1:02:26,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:  36%|███▌      | 1427/4000 [35:15<1:02:20,  1.45s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.45s/it]
overall:  36%|███▌      | 1428/4000 [35:16<1:02:29,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  36%|███▌      | 1429/4000 [35:18<1:02:43,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  36%|███▌      | 1430/4000 [35:19<1:02:40,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.46s/it]
overall:  36%|███▌      | 1431/4000 [35:21<1:02:53,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  36%|███▌      | 1432/4000 [35:22<1:02:38,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  36%|███▌      | 1433/4000 [35:24<1:02:33,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  36%|███▌      | 1434/4000 [35:25<1:02:19,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  36%|███▌      | 1435/4000 [35:26<1:02:29,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  36%|███▌      | 1436/4000 [35:28<1:02:33,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  36%|███▌      | 1437/4000 [35:29<1:02:38,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:45<00:08,  1.47s/it]
overall:  36%|███▌      | 1438/4000 [35:31<1:02:35,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  36%|███▌      | 1439/4000 [35:32<1:02:29,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.46s/it]
overall:  36%|███▌      | 1440/4000 [35:34<1:02:33,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  36%|███▌      | 1441/4000 [35:35<1:02:33,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.47s/it]
overall:  36%|███▌      | 1442/4000 [35:37<1:02:27,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  36%|███▌      | 1443/4000 [35:38<1:00:26,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 1.8517370223999023
train acc: 0.37348178029060364
train loss: 1.8202495574951172
train acc: 0.40700000524520874
train loss: 1.8013921976089478
train acc: 0.414000004529953
train loss: 1.8128753900527954
train acc: 0.4020000100135803


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  36%|███▌      | 1444/4000 [35:40<1:13:50,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.35s/it]
overall:  36%|███▌      | 1445/4000 [35:42<1:10:27,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  36%|███▌      | 1446/4000 [35:43<1:07:47,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  36%|███▌      | 1447/4000 [35:45<1:06:18,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  36%|███▌      | 1448/4000 [35:46<1:05:13,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  36%|███▌      | 1449/4000 [35:48<1:04:16,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  36%|███▋      | 1450/4000 [35:49<1:03:25,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  36%|███▋      | 1451/4000 [35:51<1:02:56,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  36%|███▋      | 1452/4000 [35:52<1:02:32,  1.47s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.47s/it]
overall:  36%|███▋      | 1453/4000 [35:54<1:02:24,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  36%|███▋      | 1454/4000 [35:55<1:02:29,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  36%|███▋      | 1455/4000 [35:57<1:02:27,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  36%|███▋      | 1456/4000 [35:58<1:02:37,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  36%|███▋      | 1457/4000 [36:00<1:02:37,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.48s/it]
overall:  36%|███▋      | 1458/4000 [36:01<1:02:24,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  36%|███▋      | 1459/4000 [36:02<1:02:11,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  36%|███▋      | 1460/4000 [36:04<1:02:14,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  37%|███▋      | 1461/4000 [36:05<1:02:05,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  37%|███▋      | 1462/4000 [36:07<1:01:55,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  37%|███▋      | 1463/4000 [36:08<1:01:41,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  37%|███▋      | 1464/4000 [36:10<1:01:36,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  37%|███▋      | 1465/4000 [36:11<1:01:40,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:  37%|███▋      | 1466/4000 [36:13<1:01:35,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  37%|███▋      | 1467/4000 [36:14<1:01:23,  1.45s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.45s/it]
overall:  37%|███▋      | 1468/4000 [36:16<1:01:50,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  37%|███▋      | 1469/4000 [36:17<1:02:01,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  37%|███▋      | 1470/4000 [36:19<1:01:55,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  37%|███▋      | 1471/4000 [36:20<1:01:58,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  37%|███▋      | 1472/4000 [36:22<1:02:07,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  37%|███▋      | 1473/4000 [36:23<1:02:04,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  37%|███▋      | 1474/4000 [36:24<1:02:08,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  37%|███▋      | 1475/4000 [36:26<1:01:59,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  37%|███▋      | 1476/4000 [36:27<1:02:02,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  37%|███▋      | 1477/4000 [36:29<1:01:51,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  37%|███▋      | 1478/4000 [36:30<1:01:39,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:  37%|███▋      | 1479/4000 [36:32<1:01:31,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  37%|███▋      | 1480/4000 [36:33<59:29,  1.42s/it]  

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.8400768041610718
train acc: 0.3906882703304291
train loss: 1.8018049001693726
train acc: 0.39899998903274536
train loss: 1.8196264505386353
train acc: 0.4000000059604645
train loss: 1.8077675104141235
train acc: 0.3947368562221527


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  37%|███▋      | 1481/4000 [36:36<1:12:27,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  37%|███▋      | 1482/4000 [36:37<1:09:23,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  37%|███▋      | 1483/4000 [36:39<1:06:56,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  37%|███▋      | 1484/4000 [36:40<1:05:12,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  37%|███▋      | 1485/4000 [36:41<1:03:57,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  37%|███▋      | 1486/4000 [36:43<1:03:06,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  37%|███▋      | 1487/4000 [36:44<1:02:29,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  37%|███▋      | 1488/4000 [36:46<1:02:04,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.48s/it]
overall:  37%|███▋      | 1489/4000 [36:47<1:02:04,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  37%|███▋      | 1490/4000 [36:49<1:01:52,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  37%|███▋      | 1491/4000 [36:50<1:01:39,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  37%|███▋      | 1492/4000 [36:52<1:01:28,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  37%|███▋      | 1493/4000 [36:53<1:01:46,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  37%|███▋      | 1494/4000 [36:55<1:01:39,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.48s/it]
overall:  37%|███▋      | 1495/4000 [36:56<1:01:29,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  37%|███▋      | 1496/4000 [36:58<1:01:17,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  37%|███▋      | 1497/4000 [36:59<1:01:07,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  37%|███▋      | 1498/4000 [37:01<1:01:00,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  37%|███▋      | 1499/4000 [37:02<1:00:48,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  38%|███▊      | 1500/4000 [37:03<1:00:54,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  38%|███▊      | 1501/4000 [37:05<1:00:59,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  38%|███▊      | 1502/4000 [37:06<1:01:06,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.47s/it]
overall:  38%|███▊      | 1503/4000 [37:08<1:01:11,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  38%|███▊      | 1504/4000 [37:09<1:01:02,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.47s/it]
overall:  38%|███▊      | 1505/4000 [37:11<1:01:24,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  38%|███▊      | 1506/4000 [37:12<1:01:03,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  38%|███▊      | 1507/4000 [37:14<1:00:59,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  38%|███▊      | 1508/4000 [37:15<1:00:57,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  38%|███▊      | 1509/4000 [37:17<1:00:53,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  38%|███▊      | 1510/4000 [37:18<1:00:59,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  38%|███▊      | 1511/4000 [37:20<1:00:45,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  38%|███▊      | 1512/4000 [37:21<1:00:45,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  38%|███▊      | 1513/4000 [37:23<1:00:47,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  38%|███▊      | 1514/4000 [37:24<1:00:46,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  38%|███▊      | 1515/4000 [37:25<1:00:49,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:  38%|███▊      | 1516/4000 [37:27<1:00:46,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  38%|███▊      | 1517/4000 [37:28<58:37,  1.42s/it]  

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.8224599361419678
train acc: 0.38999998569488525
train loss: 1.8076763153076172
train acc: 0.41600000858306885
train loss: 1.8220103979110718
train acc: 0.4059999883174896


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  38%|███▊      | 1518/4000 [37:31<1:09:34,  1.68s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.17s/it]
overall:  38%|███▊      | 1519/4000 [37:32<1:06:51,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  38%|███▊      | 1520/4000 [37:33<1:04:45,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:54,  1.62s/it]
overall:  38%|███▊      | 1521/4000 [37:35<1:03:37,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  38%|███▊      | 1522/4000 [37:36<1:02:25,  1.51s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.52s/it]
overall:  38%|███▊      | 1523/4000 [37:38<1:01:45,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  38%|███▊      | 1524/4000 [37:39<1:01:17,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:  38%|███▊      | 1525/4000 [37:41<1:01:12,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.48s/it]
overall:  38%|███▊      | 1526/4000 [37:42<1:00:48,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  38%|███▊      | 1527/4000 [37:44<1:00:25,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  38%|███▊      | 1528/4000 [37:45<1:00:04,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:37,  1.46s/it]
overall:  38%|███▊      | 1529/4000 [37:47<59:49,  1.45s/it]  

train:  32%|███▏      | 12/37 [00:18<00:36,  1.45s/it]
overall:  38%|███▊      | 1530/4000 [37:48<1:00:18,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  38%|███▊      | 1531/4000 [37:49<1:00:17,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:  38%|███▊      | 1532/4000 [37:51<1:00:10,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  38%|███▊      | 1533/4000 [37:52<1:00:06,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  38%|███▊      | 1534/4000 [37:54<1:00:00,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  38%|███▊      | 1535/4000 [37:55<1:00:00,  1.46s/it]

train:  49%|████▊     | 18/37 [00:26<00:27,  1.46s/it]
overall:  38%|███▊      | 1536/4000 [37:57<59:56,  1.46s/it]  

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  38%|███▊      | 1537/4000 [37:58<1:00:03,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:  38%|███▊      | 1538/4000 [38:00<59:55,  1.46s/it]  

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  38%|███▊      | 1539/4000 [38:01<1:00:02,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  38%|███▊      | 1540/4000 [38:03<59:58,  1.46s/it]  

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  39%|███▊      | 1541/4000 [38:04<59:43,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:  39%|███▊      | 1542/4000 [38:06<59:59,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  39%|███▊      | 1543/4000 [38:07<59:50,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  39%|███▊      | 1544/4000 [38:08<59:38,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  39%|███▊      | 1545/4000 [38:10<59:57,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  39%|███▊      | 1546/4000 [38:11<1:00:00,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  39%|███▊      | 1547/4000 [38:13<59:54,  1.47s/it]  

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  39%|███▊      | 1548/4000 [38:14<59:53,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  39%|███▊      | 1549/4000 [38:16<59:59,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  39%|███▉      | 1550/4000 [38:17<59:58,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.47s/it]
overall:  39%|███▉      | 1551/4000 [38:19<1:00:17,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.48s/it]
overall:  39%|███▉      | 1552/4000 [38:20<59:54,  1.47s/it]  

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.47s/it]
overall:  39%|███▉      | 1553/4000 [38:22<59:47,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  39%|███▉      | 1554/4000 [38:23<57:52,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 1.7848942279815674
train acc: 0.4038461446762085
train loss: 1.809802770614624
train acc: 0.4009999930858612
train loss: 1.7923539876937866
train acc: 0.4020000100135803
train loss: 1.8273509740829468
train acc: 0.37700000405311584


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  39%|███▉      | 1555/4000 [38:25<1:08:40,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  39%|███▉      | 1556/4000 [38:27<1:05:54,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  39%|███▉      | 1557/4000 [38:28<1:03:42,  1.56s/it]

train:   8%|▊         | 3/37 [00:05<00:54,  1.61s/it]
overall:  39%|███▉      | 1558/4000 [38:30<1:02:10,  1.53s/it]

train:  11%|█         | 4/37 [00:06<00:50,  1.55s/it]
overall:  39%|███▉      | 1559/4000 [38:31<1:01:18,  1.51s/it]

train:  14%|█▎        | 5/37 [00:07<00:48,  1.51s/it]
overall:  39%|███▉      | 1560/4000 [38:33<1:00:42,  1.49s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  39%|███▉      | 1561/4000 [38:34<1:00:10,  1.48s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.48s/it]
overall:  39%|███▉      | 1562/4000 [38:35<59:55,  1.47s/it]  

train:  22%|██▏       | 8/37 [00:12<00:42,  1.47s/it]
overall:  39%|███▉      | 1563/4000 [38:37<59:40,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  39%|███▉      | 1564/4000 [38:38<59:33,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  39%|███▉      | 1565/4000 [38:40<59:27,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.46s/it]
overall:  39%|███▉      | 1566/4000 [38:41<59:11,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  39%|███▉      | 1567/4000 [38:43<59:24,  1.46s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.46s/it]
overall:  39%|███▉      | 1568/4000 [38:44<59:17,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:  39%|███▉      | 1569/4000 [38:46<59:11,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  39%|███▉      | 1570/4000 [38:47<59:09,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  39%|███▉      | 1571/4000 [38:49<59:06,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  39%|███▉      | 1572/4000 [38:50<59:04,  1.46s/it]

train:  49%|████▊     | 18/37 [00:26<00:27,  1.46s/it]
overall:  39%|███▉      | 1573/4000 [38:52<58:53,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  39%|███▉      | 1574/4000 [38:53<58:50,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:  39%|███▉      | 1575/4000 [38:54<58:41,  1.45s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.45s/it]
overall:  39%|███▉      | 1576/4000 [38:56<58:54,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  39%|███▉      | 1577/4000 [38:57<58:49,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  39%|███▉      | 1578/4000 [38:59<58:53,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:  39%|███▉      | 1579/4000 [39:00<59:14,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  40%|███▉      | 1580/4000 [39:02<59:06,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  40%|███▉      | 1581/4000 [39:03<58:54,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  40%|███▉      | 1582/4000 [39:05<58:42,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  40%|███▉      | 1583/4000 [39:06<58:38,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:42<00:11,  1.46s/it]
overall:  40%|███▉      | 1584/4000 [39:08<58:35,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  40%|███▉      | 1585/4000 [39:09<58:34,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:45<00:08,  1.46s/it]
overall:  40%|███▉      | 1586/4000 [39:11<58:43,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  40%|███▉      | 1587/4000 [39:12<58:46,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.46s/it]
overall:  40%|███▉      | 1588/4000 [39:13<58:52,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  40%|███▉      | 1589/4000 [39:15<58:39,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.46s/it]
overall:  40%|███▉      | 1590/4000 [39:16<58:32,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  40%|███▉      | 1591/4000 [39:18<56:37,  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: 1.8367351293563843
train acc: 0.3714574873447418
train loss: 1.7680095434188843
train acc: 0.4099999964237213
train loss: 1.797027826309204
train acc: 0.4050000011920929
train loss: 1.8076893091201782
train acc: 0.38499999046325684


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  40%|███▉      | 1592/4000 [39:20<1:08:33,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:21,  2.26s/it]
overall:  40%|███▉      | 1593/4000 [39:22<1:05:47,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  40%|███▉      | 1594/4000 [39:23<1:03:35,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.65s/it]
overall:  40%|███▉      | 1595/4000 [39:24<1:02:03,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  40%|███▉      | 1596/4000 [39:26<1:00:56,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:  40%|███▉      | 1597/4000 [39:27<1:00:20,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  40%|███▉      | 1598/4000 [39:29<59:45,  1.49s/it]  

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  40%|███▉      | 1599/4000 [39:30<59:25,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  40%|████      | 1600/4000 [39:32<59:20,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  40%|████      | 1601/4000 [39:33<59:00,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  40%|████      | 1602/4000 [39:35<58:57,  1.48s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.48s/it]
overall:  40%|████      | 1603/4000 [39:36<58:50,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  40%|████      | 1604/4000 [39:38<59:06,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  40%|████      | 1605/4000 [39:39<59:02,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.48s/it]
overall:  40%|████      | 1606/4000 [39:41<58:54,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  40%|████      | 1607/4000 [39:42<58:53,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  40%|████      | 1608/4000 [39:44<58:55,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  40%|████      | 1609/4000 [39:45<58:44,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.47s/it]
overall:  40%|████      | 1610/4000 [39:47<58:34,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  40%|████      | 1611/4000 [39:48<58:39,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.47s/it]
overall:  40%|████      | 1612/4000 [39:49<58:42,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  40%|████      | 1613/4000 [39:51<58:42,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  40%|████      | 1614/4000 [39:52<58:31,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  40%|████      | 1615/4000 [39:54<58:34,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.47s/it]
overall:  40%|████      | 1616/4000 [39:55<58:52,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  40%|████      | 1617/4000 [39:57<58:39,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  40%|████      | 1618/4000 [39:58<58:38,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  40%|████      | 1619/4000 [40:00<58:35,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  40%|████      | 1620/4000 [40:01<58:25,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  41%|████      | 1621/4000 [40:03<58:22,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  41%|████      | 1622/4000 [40:04<58:12,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  41%|████      | 1623/4000 [40:06<57:55,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  41%|████      | 1624/4000 [40:07<57:52,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  41%|████      | 1625/4000 [40:09<57:50,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  41%|████      | 1626/4000 [40:10<57:47,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  41%|████      | 1627/4000 [40:11<57:45,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  41%|████      | 1628/4000 [40:13<55:54,  1.41s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.41s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.8089282512664795
train acc: 0.4048582911491394
train loss: 1.811017632484436
train acc: 0.39500001072883606
train loss: 1.7809288501739502
train acc: 0.41999998688697815


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  41%|████      | 1629/4000 [40:15<1:08:08,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  41%|████      | 1630/4000 [40:17<1:05:10,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  41%|████      | 1631/4000 [40:18<1:03:08,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  41%|████      | 1632/4000 [40:20<1:01:31,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  41%|████      | 1633/4000 [40:21<1:00:18,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  41%|████      | 1634/4000 [40:23<59:27,  1.51s/it]  

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  41%|████      | 1635/4000 [40:24<58:51,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  41%|████      | 1636/4000 [40:26<58:27,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.48s/it]
overall:  41%|████      | 1637/4000 [40:27<58:07,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  41%|████      | 1638/4000 [40:28<57:41,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  41%|████      | 1639/4000 [40:30<57:28,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:37,  1.46s/it]
overall:  41%|████      | 1640/4000 [40:31<57:27,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  41%|████      | 1641/4000 [40:33<57:31,  1.46s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.46s/it]
overall:  41%|████      | 1642/4000 [40:34<57:24,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:  41%|████      | 1643/4000 [40:36<57:20,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  41%|████      | 1644/4000 [40:37<57:22,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  41%|████      | 1645/4000 [40:39<57:15,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  41%|████      | 1646/4000 [40:40<57:14,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  41%|████      | 1647/4000 [40:42<57:17,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  41%|████      | 1648/4000 [40:43<57:01,  1.45s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.45s/it]
overall:  41%|████      | 1649/4000 [40:44<57:13,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  41%|████▏     | 1650/4000 [40:46<57:03,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  41%|████▏     | 1651/4000 [40:47<57:01,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  41%|████▏     | 1652/4000 [40:49<57:02,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:  41%|████▏     | 1653/4000 [40:50<56:59,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  41%|████▏     | 1654/4000 [40:52<57:03,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  41%|████▏     | 1655/4000 [40:53<57:05,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  41%|████▏     | 1656/4000 [40:55<57:13,  1.46s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.46s/it]
overall:  41%|████▏     | 1657/4000 [40:56<57:06,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  41%|████▏     | 1658/4000 [40:58<56:51,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  41%|████▏     | 1659/4000 [40:59<56:45,  1.45s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.45s/it]
overall:  42%|████▏     | 1660/4000 [41:00<56:40,  1.45s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.45s/it]
overall:  42%|████▏     | 1661/4000 [41:02<56:42,  1.45s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.45s/it]
overall:  42%|████▏     | 1662/4000 [41:03<56:44,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  42%|████▏     | 1663/4000 [41:05<56:39,  1.45s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.45s/it]
overall:  42%|████▏     | 1664/4000 [41:06<56:33,  1.45s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.45s/it]
overall:  42%|████▏     | 1665/4000 [41:08<54:41,  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: 1.7991844415664673
train acc: 0.4139676094055176
train loss: 1.756374716758728
train acc: 0.4059999883174896
train loss: 1.784732460975647
train acc: 0.3880000114440918
train loss: 1.8372204303741455
train acc: 0.3880000114440918


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  42%|████▏     | 1666/4000 [41:10<1:06:55,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  42%|████▏     | 1667/4000 [41:12<1:03:54,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  42%|████▏     | 1668/4000 [41:13<1:01:44,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  42%|████▏     | 1669/4000 [41:14<1:00:09,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.58s/it]
overall:  42%|████▏     | 1670/4000 [41:16<59:09,  1.52s/it]  

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  42%|████▏     | 1671/4000 [41:17<58:30,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  42%|████▏     | 1672/4000 [41:19<58:02,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  42%|████▏     | 1673/4000 [41:20<57:35,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  42%|████▏     | 1674/4000 [41:22<57:19,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  42%|████▏     | 1675/4000 [41:23<57:11,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  42%|████▏     | 1676/4000 [41:25<57:02,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  42%|████▏     | 1677/4000 [41:26<56:49,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  42%|████▏     | 1678/4000 [41:28<56:56,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  42%|████▏     | 1679/4000 [41:29<56:46,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  42%|████▏     | 1680/4000 [41:31<56:53,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  42%|████▏     | 1681/4000 [41:32<56:42,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  42%|████▏     | 1682/4000 [41:33<56:36,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  42%|████▏     | 1683/4000 [41:35<56:35,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  42%|████▏     | 1684/4000 [41:36<56:28,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  42%|████▏     | 1685/4000 [41:38<56:21,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  42%|████▏     | 1686/4000 [41:39<56:22,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  42%|████▏     | 1687/4000 [41:41<56:19,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:  42%|████▏     | 1688/4000 [41:42<56:14,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  42%|████▏     | 1689/4000 [41:44<56:24,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.46s/it]
overall:  42%|████▏     | 1690/4000 [41:45<56:25,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  42%|████▏     | 1691/4000 [41:47<56:18,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  42%|████▏     | 1692/4000 [41:48<56:14,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  42%|████▏     | 1693/4000 [41:50<56:22,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  42%|████▏     | 1694/4000 [41:51<56:16,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  42%|████▏     | 1695/4000 [41:52<56:11,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  42%|████▏     | 1696/4000 [41:54<56:08,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  42%|████▏     | 1697/4000 [41:55<56:05,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  42%|████▏     | 1698/4000 [41:57<56:01,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  42%|████▏     | 1699/4000 [41:58<56:17,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  42%|████▎     | 1700/4000 [42:00<56:10,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:  43%|████▎     | 1701/4000 [42:01<56:04,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  43%|████▎     | 1702/4000 [42:03<54:11,  1.41s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.41s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.49s/it]
train loss: 1.7940165996551514
train acc: 0.3937247097492218
train loss: 1.8384727239608765
train acc: 0.3959999978542328
train loss: 1.7908796072006226
train acc: 0.41600000858306885
train loss: 1.774513602256775
train acc: 0.4059999883174896


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  43%|████▎     | 1703/4000 [42:05<1:04:31,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  43%|████▎     | 1704/4000 [42:06<1:01:49,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.75s/it]
overall:  43%|████▎     | 1705/4000 [42:08<1:00:01,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.62s/it]
overall:  43%|████▎     | 1706/4000 [42:09<58:46,  1.54s/it]  

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  43%|████▎     | 1707/4000 [42:11<58:01,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  43%|████▎     | 1708/4000 [42:12<57:10,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  43%|████▎     | 1709/4000 [42:14<56:43,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:  43%|████▎     | 1710/4000 [42:15<56:24,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  43%|████▎     | 1711/4000 [42:17<55:59,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  43%|████▎     | 1712/4000 [42:18<55:46,  1.46s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.46s/it]
overall:  43%|████▎     | 1713/4000 [42:19<55:46,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.46s/it]
overall:  43%|████▎     | 1714/4000 [42:21<55:43,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  43%|████▎     | 1715/4000 [42:22<56:28,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  43%|████▎     | 1716/4000 [42:24<56:13,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.48s/it]
overall:  43%|████▎     | 1717/4000 [42:25<55:49,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  43%|████▎     | 1718/4000 [42:27<55:53,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  43%|████▎     | 1719/4000 [42:28<55:43,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  43%|████▎     | 1720/4000 [42:30<55:29,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  43%|████▎     | 1721/4000 [42:31<55:27,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  43%|████▎     | 1722/4000 [42:33<55:22,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:  43%|████▎     | 1723/4000 [42:34<55:11,  1.45s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.45s/it]
overall:  43%|████▎     | 1724/4000 [42:36<55:11,  1.45s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.45s/it]
overall:  43%|████▎     | 1725/4000 [42:37<55:01,  1.45s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.45s/it]
overall:  43%|████▎     | 1726/4000 [42:38<55:01,  1.45s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.45s/it]
overall:  43%|████▎     | 1727/4000 [42:40<55:44,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  43%|████▎     | 1728/4000 [42:41<55:27,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  43%|████▎     | 1729/4000 [42:43<55:18,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  43%|████▎     | 1730/4000 [42:44<55:29,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  43%|████▎     | 1731/4000 [42:46<55:34,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  43%|████▎     | 1732/4000 [42:47<55:31,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  43%|████▎     | 1733/4000 [42:49<55:33,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  43%|████▎     | 1734/4000 [42:50<55:29,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  43%|████▎     | 1735/4000 [42:52<55:33,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  43%|████▎     | 1736/4000 [42:53<55:25,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  43%|████▎     | 1737/4000 [42:55<55:40,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.48s/it]
overall:  43%|████▎     | 1738/4000 [42:56<55:30,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  43%|████▎     | 1739/4000 [42:57<53:33,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 1.8059473037719727
train acc: 0.3795546591281891
train loss: 1.7693332433700562
train acc: 0.414000004529953
train loss: 1.7644929885864258
train acc: 0.421999990940094


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  44%|████▎     | 1740/4000 [43:00<1:03:35,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  44%|████▎     | 1741/4000 [43:01<1:02:51,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.86s/it]
overall:  44%|████▎     | 1742/4000 [43:03<1:00:41,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  44%|████▎     | 1743/4000 [43:04<59:08,  1.57s/it]  

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  44%|████▎     | 1744/4000 [43:06<57:48,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  44%|████▎     | 1745/4000 [43:07<56:56,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  44%|████▎     | 1746/4000 [43:09<56:25,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.50s/it]
overall:  44%|████▎     | 1747/4000 [43:10<56:00,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  44%|████▎     | 1748/4000 [43:12<55:37,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  44%|████▎     | 1749/4000 [43:13<55:21,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  44%|████▍     | 1750/4000 [43:15<55:20,  1.48s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.48s/it]
overall:  44%|████▍     | 1751/4000 [43:16<55:10,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  44%|████▍     | 1752/4000 [43:18<55:10,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  44%|████▍     | 1753/4000 [43:19<55:00,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  44%|████▍     | 1754/4000 [43:20<54:55,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  44%|████▍     | 1755/4000 [43:22<54:47,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  44%|████▍     | 1756/4000 [43:23<54:42,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  44%|████▍     | 1757/4000 [43:25<54:49,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  44%|████▍     | 1758/4000 [43:26<54:43,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  44%|████▍     | 1759/4000 [43:28<54:41,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  44%|████▍     | 1760/4000 [43:29<54:37,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  44%|████▍     | 1761/4000 [43:31<54:30,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:  44%|████▍     | 1762/4000 [43:32<54:31,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  44%|████▍     | 1763/4000 [43:34<54:28,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:36<00:18,  1.46s/it]
overall:  44%|████▍     | 1764/4000 [43:35<54:28,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  44%|████▍     | 1765/4000 [43:37<54:22,  1.46s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.46s/it]
overall:  44%|████▍     | 1766/4000 [43:38<54:32,  1.46s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.46s/it]
overall:  44%|████▍     | 1767/4000 [43:39<54:38,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  44%|████▍     | 1768/4000 [43:41<54:22,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  44%|████▍     | 1769/4000 [43:42<54:16,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  44%|████▍     | 1770/4000 [43:44<54:05,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  44%|████▍     | 1771/4000 [43:45<54:19,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  44%|████▍     | 1772/4000 [43:47<54:17,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  44%|████▍     | 1773/4000 [43:48<54:13,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  44%|████▍     | 1774/4000 [43:50<54:11,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  44%|████▍     | 1775/4000 [43:51<54:08,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  44%|████▍     | 1776/4000 [43:52<52:20,  1.41s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.41s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.49s/it]
train loss: 1.776926040649414
train acc: 0.4190283417701721
train loss: 1.8177741765975952
train acc: 0.38999998569488525
train loss: 1.8236665725708008
train acc: 0.40400001406669617
train loss: 1.7528088092803955
train acc: 0.42100000381469727


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  44%|████▍     | 1777/4000 [43:55<1:02:35,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  44%|████▍     | 1778/4000 [43:56<1:00:12,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  44%|████▍     | 1779/4000 [43:58<58:18,  1.58s/it]  

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  44%|████▍     | 1780/4000 [43:59<57:04,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  45%|████▍     | 1781/4000 [44:01<56:06,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  45%|████▍     | 1782/4000 [44:02<55:29,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  45%|████▍     | 1783/4000 [44:04<55:04,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:  45%|████▍     | 1784/4000 [44:05<54:50,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  45%|████▍     | 1785/4000 [44:07<54:33,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:  45%|████▍     | 1786/4000 [44:08<54:27,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  45%|████▍     | 1787/4000 [44:09<54:19,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  45%|████▍     | 1788/4000 [44:11<54:08,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  45%|████▍     | 1789/4000 [44:12<54:02,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  45%|████▍     | 1790/4000 [44:14<53:57,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:  45%|████▍     | 1791/4000 [44:15<53:50,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  45%|████▍     | 1792/4000 [44:17<53:47,  1.46s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.46s/it]
overall:  45%|████▍     | 1793/4000 [44:18<53:40,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  45%|████▍     | 1794/4000 [44:20<53:39,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  45%|████▍     | 1795/4000 [44:21<53:38,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  45%|████▍     | 1796/4000 [44:23<53:36,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:  45%|████▍     | 1797/4000 [44:24<53:26,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  45%|████▍     | 1798/4000 [44:25<53:29,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  45%|████▍     | 1799/4000 [44:27<53:26,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  45%|████▌     | 1800/4000 [44:28<53:35,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.46s/it]
overall:  45%|████▌     | 1801/4000 [44:30<53:37,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  45%|████▌     | 1802/4000 [44:31<53:46,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  45%|████▌     | 1803/4000 [44:33<53:39,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  45%|████▌     | 1804/4000 [44:34<53:41,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  45%|████▌     | 1805/4000 [44:36<53:27,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  45%|████▌     | 1806/4000 [44:37<53:22,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  45%|████▌     | 1807/4000 [44:39<53:44,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  45%|████▌     | 1808/4000 [44:40<53:28,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  45%|████▌     | 1809/4000 [44:42<53:20,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  45%|████▌     | 1810/4000 [44:43<53:18,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  45%|████▌     | 1811/4000 [44:45<53:33,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.47s/it]
overall:  45%|████▌     | 1812/4000 [44:46<53:35,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  45%|████▌     | 1813/4000 [44:47<51:44,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.48s/it]
train loss: 1.7835413217544556
train acc: 0.38765183091163635
train loss: 1.8215608596801758
train acc: 0.37400001287460327
train loss: 1.7858648300170898
train acc: 0.40400001406669617
train loss: 1.718457818031311
train acc: 0.44200000166893005


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  45%|████▌     | 1814/4000 [44:50<1:02:23,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.28s/it]
overall:  45%|████▌     | 1815/4000 [44:51<59:39,  1.64s/it]  

train:   5%|▌         | 2/37 [00:03<01:03,  1.80s/it]
overall:  45%|████▌     | 1816/4000 [44:53<57:40,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.65s/it]
overall:  45%|████▌     | 1817/4000 [44:54<56:13,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  45%|████▌     | 1818/4000 [44:56<55:15,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  45%|████▌     | 1819/4000 [44:57<54:51,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  46%|████▌     | 1820/4000 [44:58<54:18,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  46%|████▌     | 1821/4000 [45:00<53:49,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.48s/it]
overall:  46%|████▌     | 1822/4000 [45:01<53:23,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  46%|████▌     | 1823/4000 [45:03<53:11,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  46%|████▌     | 1824/4000 [45:04<52:55,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:37,  1.46s/it]
overall:  46%|████▌     | 1825/4000 [45:06<52:54,  1.46s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.46s/it]
overall:  46%|████▌     | 1826/4000 [45:07<53:20,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  46%|████▌     | 1827/4000 [45:09<53:01,  1.46s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.46s/it]
overall:  46%|████▌     | 1828/4000 [45:10<52:48,  1.46s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.46s/it]
overall:  46%|████▌     | 1829/4000 [45:12<52:38,  1.45s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.45s/it]
overall:  46%|████▌     | 1830/4000 [45:13<52:37,  1.46s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.46s/it]
overall:  46%|████▌     | 1831/4000 [45:14<52:42,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  46%|████▌     | 1832/4000 [45:16<52:37,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  46%|████▌     | 1833/4000 [45:17<52:36,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:  46%|████▌     | 1834/4000 [45:19<52:31,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  46%|████▌     | 1835/4000 [45:20<52:30,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.46s/it]
overall:  46%|████▌     | 1836/4000 [45:22<52:19,  1.45s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.45s/it]
overall:  46%|████▌     | 1837/4000 [45:23<52:19,  1.45s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.45s/it]
overall:  46%|████▌     | 1838/4000 [45:25<52:27,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  46%|████▌     | 1839/4000 [45:26<52:18,  1.45s/it]

train:  70%|███████   | 26/37 [00:38<00:15,  1.45s/it]
overall:  46%|████▌     | 1840/4000 [45:28<52:14,  1.45s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.45s/it]
overall:  46%|████▌     | 1841/4000 [45:29<52:16,  1.45s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.45s/it]
overall:  46%|████▌     | 1842/4000 [45:30<52:21,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  46%|████▌     | 1843/4000 [45:32<52:12,  1.45s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.45s/it]
overall:  46%|████▌     | 1844/4000 [45:33<52:12,  1.45s/it]

train:  84%|████████▍ | 31/37 [00:45<00:08,  1.45s/it]
overall:  46%|████▌     | 1845/4000 [45:35<52:08,  1.45s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.45s/it]
overall:  46%|████▌     | 1846/4000 [45:36<52:05,  1.45s/it]

train:  89%|████████▉ | 33/37 [00:48<00:05,  1.45s/it]
overall:  46%|████▌     | 1847/4000 [45:38<52:11,  1.45s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.45s/it]
overall:  46%|████▌     | 1848/4000 [45:39<52:02,  1.45s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.45s/it]
overall:  46%|████▌     | 1849/4000 [45:41<52:06,  1.45s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.45s/it]
overall:  46%|████▋     | 1850/4000 [45:42<50:22,  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: 1.7971699237823486
train acc: 0.3937247097492218
train loss: 1.8267419338226318
train acc: 0.3869999945163727
train loss: 1.7639411687850952
train acc: 0.4230000078678131
train loss: 1.7502409219741821
train acc: 0.4149797558784485


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  46%|████▋     | 1851/4000 [45:44<1:01:29,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  46%|████▋     | 1852/4000 [45:46<58:55,  1.65s/it]  

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  46%|████▋     | 1853/4000 [45:47<57:03,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  46%|████▋     | 1854/4000 [45:49<55:37,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  46%|████▋     | 1855/4000 [45:50<54:34,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  46%|████▋     | 1856/4000 [45:52<53:47,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  46%|████▋     | 1857/4000 [45:53<53:07,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  46%|████▋     | 1858/4000 [45:55<52:57,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.48s/it]
overall:  46%|████▋     | 1859/4000 [45:56<52:39,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  46%|████▋     | 1860/4000 [45:58<52:29,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  47%|████▋     | 1861/4000 [45:59<52:18,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  47%|████▋     | 1862/4000 [46:00<52:25,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  47%|████▋     | 1863/4000 [46:02<52:23,  1.47s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.47s/it]
overall:  47%|████▋     | 1864/4000 [46:03<52:40,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.48s/it]
overall:  47%|████▋     | 1865/4000 [46:05<52:36,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  47%|████▋     | 1866/4000 [46:06<52:30,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.48s/it]
overall:  47%|████▋     | 1867/4000 [46:08<52:21,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  47%|████▋     | 1868/4000 [46:09<52:11,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  47%|████▋     | 1869/4000 [46:11<51:54,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  47%|████▋     | 1870/4000 [46:12<51:55,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  47%|████▋     | 1871/4000 [46:14<51:45,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  47%|████▋     | 1872/4000 [46:15<51:43,  1.46s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.46s/it]
overall:  47%|████▋     | 1873/4000 [46:17<51:40,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  47%|████▋     | 1874/4000 [46:18<51:40,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:18,  1.46s/it]
overall:  47%|████▋     | 1875/4000 [46:20<51:51,  1.46s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.46s/it]
overall:  47%|████▋     | 1876/4000 [46:21<52:04,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  47%|████▋     | 1877/4000 [46:22<51:55,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  47%|████▋     | 1878/4000 [46:24<51:49,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  47%|████▋     | 1879/4000 [46:25<51:44,  1.46s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.46s/it]
overall:  47%|████▋     | 1880/4000 [46:27<51:38,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  47%|████▋     | 1881/4000 [46:28<51:33,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  47%|████▋     | 1882/4000 [46:30<51:32,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  47%|████▋     | 1883/4000 [46:31<51:30,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  47%|████▋     | 1884/4000 [46:33<51:28,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  47%|████▋     | 1885/4000 [46:34<51:26,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  47%|████▋     | 1886/4000 [46:36<51:26,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  47%|████▋     | 1887/4000 [46:37<49:46,  1.41s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.41s/it]
train: 100%|██████████| 37/37 [00:54<00:00,  1.49s/it]
train loss: 1.7708240747451782
train acc: 0.3889999985694885
train loss: 1.7482223510742188
train acc: 0.4090000092983246
train loss: 1.790644645690918
train acc: 0.4090000092983246


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  47%|████▋     | 1888/4000 [46:39<1:00:56,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  47%|████▋     | 1889/4000 [46:41<58:05,  1.65s/it]  

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  47%|████▋     | 1890/4000 [46:42<56:03,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  47%|████▋     | 1891/4000 [46:44<54:48,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  47%|████▋     | 1892/4000 [46:45<53:44,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  47%|████▋     | 1893/4000 [46:47<53:08,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  47%|████▋     | 1894/4000 [46:48<52:35,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.50s/it]
overall:  47%|████▋     | 1895/4000 [46:50<52:21,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  47%|████▋     | 1896/4000 [46:51<51:59,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  47%|████▋     | 1897/4000 [46:53<51:52,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  47%|████▋     | 1898/4000 [46:54<51:29,  1.47s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.47s/it]
overall:  47%|████▋     | 1899/4000 [46:56<51:30,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  48%|████▊     | 1900/4000 [46:57<51:50,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  48%|████▊     | 1901/4000 [46:59<51:44,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.48s/it]
overall:  48%|████▊     | 1902/4000 [47:00<51:34,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  48%|████▊     | 1903/4000 [47:01<51:29,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  48%|████▊     | 1904/4000 [47:03<51:24,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  48%|████▊     | 1905/4000 [47:04<51:15,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  48%|████▊     | 1906/4000 [47:06<51:09,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  48%|████▊     | 1907/4000 [47:07<51:01,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.46s/it]
overall:  48%|████▊     | 1908/4000 [47:09<50:58,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  48%|████▊     | 1909/4000 [47:10<51:05,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:21,  1.47s/it]
overall:  48%|████▊     | 1910/4000 [47:12<50:52,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  48%|████▊     | 1911/4000 [47:13<50:46,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:36<00:18,  1.46s/it]
overall:  48%|████▊     | 1912/4000 [47:15<51:12,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  48%|████▊     | 1913/4000 [47:16<51:12,  1.47s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.47s/it]
overall:  48%|████▊     | 1914/4000 [47:18<51:05,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  48%|████▊     | 1915/4000 [47:19<50:57,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  48%|████▊     | 1916/4000 [47:21<51:14,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  48%|████▊     | 1917/4000 [47:22<51:04,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  48%|████▊     | 1918/4000 [47:23<51:00,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  48%|████▊     | 1919/4000 [47:25<51:12,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.48s/it]
overall:  48%|████▊     | 1920/4000 [47:26<51:12,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  48%|████▊     | 1921/4000 [47:28<51:01,  1.47s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.47s/it]
overall:  48%|████▊     | 1922/4000 [47:29<50:52,  1.47s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.47s/it]
overall:  48%|████▊     | 1923/4000 [47:31<50:49,  1.47s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.47s/it]
overall:  48%|████▊     | 1924/4000 [47:32<49:10,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.8046157360076904
train acc: 0.40080970525741577
train loss: 1.7635797262191772
train acc: 0.41499999165534973
train loss: 1.8032512664794922
train acc: 0.4059999883174896
train loss: 1.7406352758407593
train acc: 0.40700000524520874


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  48%|████▊     | 1925/4000 [47:34<58:48,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  48%|████▊     | 1926/4000 [47:36<56:20,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.77s/it]
overall:  48%|████▊     | 1927/4000 [47:37<54:24,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.62s/it]
overall:  48%|████▊     | 1928/4000 [47:39<53:07,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  48%|████▊     | 1929/4000 [47:40<52:08,  1.51s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.52s/it]
overall:  48%|████▊     | 1930/4000 [47:42<51:32,  1.49s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  48%|████▊     | 1931/4000 [47:43<51:12,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:  48%|████▊     | 1932/4000 [47:45<50:55,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  48%|████▊     | 1933/4000 [47:46<50:42,  1.47s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.47s/it]
overall:  48%|████▊     | 1934/4000 [47:48<50:29,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  48%|████▊     | 1935/4000 [47:49<50:32,  1.47s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.47s/it]
overall:  48%|████▊     | 1936/4000 [47:51<50:32,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  48%|████▊     | 1937/4000 [47:52<50:45,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  48%|████▊     | 1938/4000 [47:53<50:38,  1.47s/it]

train:  38%|███▊      | 14/37 [00:21<00:33,  1.47s/it]
overall:  48%|████▊     | 1939/4000 [47:55<50:27,  1.47s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.47s/it]
overall:  48%|████▊     | 1940/4000 [47:56<50:21,  1.47s/it]

train:  43%|████▎     | 16/37 [00:24<00:30,  1.47s/it]
overall:  49%|████▊     | 1941/4000 [47:58<50:23,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  49%|████▊     | 1942/4000 [47:59<50:17,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  49%|████▊     | 1943/4000 [48:01<50:11,  1.46s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.46s/it]
overall:  49%|████▊     | 1944/4000 [48:02<50:07,  1.46s/it]

train:  54%|█████▍    | 20/37 [00:29<00:24,  1.46s/it]
overall:  49%|████▊     | 1945/4000 [48:04<50:08,  1.46s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.46s/it]
overall:  49%|████▊     | 1946/4000 [48:05<50:10,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:32<00:21,  1.47s/it]
overall:  49%|████▊     | 1947/4000 [48:07<50:07,  1.46s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.46s/it]
overall:  49%|████▊     | 1948/4000 [48:08<50:02,  1.46s/it]

train:  65%|██████▍   | 24/37 [00:35<00:19,  1.46s/it]
overall:  49%|████▊     | 1949/4000 [48:10<50:23,  1.47s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.47s/it]
overall:  49%|████▉     | 1950/4000 [48:11<50:21,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  49%|████▉     | 1951/4000 [48:13<50:16,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  49%|████▉     | 1952/4000 [48:14<50:16,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  49%|████▉     | 1953/4000 [48:15<50:07,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  49%|████▉     | 1954/4000 [48:17<50:07,  1.47s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.47s/it]
overall:  49%|████▉     | 1955/4000 [48:18<50:05,  1.47s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.47s/it]
overall:  49%|████▉     | 1956/4000 [48:20<49:56,  1.47s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.47s/it]
overall:  49%|████▉     | 1957/4000 [48:21<49:52,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  49%|████▉     | 1958/4000 [48:23<49:47,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  49%|████▉     | 1959/4000 [48:24<49:43,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:51<00:02,  1.46s/it]
overall:  49%|████▉     | 1960/4000 [48:26<49:40,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  49%|████▉     | 1961/4000 [48:27<48:01,  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: 1.8071212768554688
train acc: 0.3947368562221527
train loss: 1.7871558666229248
train acc: 0.4169999957084656
train loss: 1.7644637823104858
train acc: 0.39500001072883606
train loss: 1.7521671056747437
train acc: 0.4099999964237213


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  49%|████▉     | 1962/4000 [48:29<56:50,  1.67s/it]

train:   3%|▎         | 1/37 [00:02<01:17,  2.16s/it]
overall:  49%|████▉     | 1963/4000 [48:31<54:54,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  49%|████▉     | 1964/4000 [48:32<53:22,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  49%|████▉     | 1965/4000 [48:34<52:23,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  49%|████▉     | 1966/4000 [48:35<51:33,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:  49%|████▉     | 1967/4000 [48:37<50:52,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  49%|████▉     | 1968/4000 [48:38<50:24,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.49s/it]
overall:  49%|████▉     | 1969/4000 [48:40<50:09,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.48s/it]
overall:  49%|████▉     | 1970/4000 [48:41<50:06,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:  49%|████▉     | 1971/4000 [48:43<50:11,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.48s/it]
overall:  49%|████▉     | 1972/4000 [48:44<50:08,  1.48s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.48s/it]
overall:  49%|████▉     | 1973/4000 [48:46<50:04,  1.48s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.48s/it]
overall:  49%|████▉     | 1974/4000 [48:47<50:13,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  49%|████▉     | 1975/4000 [48:49<50:10,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  49%|████▉     | 1976/4000 [48:50<49:50,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  49%|████▉     | 1977/4000 [48:51<49:47,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  49%|████▉     | 1978/4000 [48:53<49:34,  1.47s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.47s/it]
overall:  49%|████▉     | 1979/4000 [48:54<49:19,  1.46s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.46s/it]
overall:  50%|████▉     | 1980/4000 [48:56<49:23,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  50%|████▉     | 1981/4000 [48:57<49:28,  1.47s/it]

train:  54%|█████▍    | 20/37 [00:30<00:24,  1.47s/it]
overall:  50%|████▉     | 1982/4000 [48:59<49:33,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  50%|████▉     | 1983/4000 [49:00<49:32,  1.47s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.47s/it]
overall:  50%|████▉     | 1984/4000 [49:02<49:25,  1.47s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.47s/it]
overall:  50%|████▉     | 1985/4000 [49:03<49:17,  1.47s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.47s/it]
overall:  50%|████▉     | 1986/4000 [49:05<49:35,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  50%|████▉     | 1987/4000 [49:06<49:27,  1.47s/it]

train:  70%|███████   | 26/37 [00:38<00:16,  1.47s/it]
overall:  50%|████▉     | 1988/4000 [49:08<49:24,  1.47s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.47s/it]
overall:  50%|████▉     | 1989/4000 [49:09<49:15,  1.47s/it]

train:  76%|███████▌  | 28/37 [00:41<00:13,  1.47s/it]
overall:  50%|████▉     | 1990/4000 [49:11<49:11,  1.47s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.47s/it]
overall:  50%|████▉     | 1991/4000 [49:12<49:01,  1.46s/it]

train:  81%|████████  | 30/37 [00:44<00:10,  1.46s/it]
overall:  50%|████▉     | 1992/4000 [49:13<49:00,  1.46s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.46s/it]
overall:  50%|████▉     | 1993/4000 [49:15<48:52,  1.46s/it]

train:  86%|████████▋ | 32/37 [00:47<00:07,  1.46s/it]
overall:  50%|████▉     | 1994/4000 [49:16<48:49,  1.46s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.46s/it]
overall:  50%|████▉     | 1995/4000 [49:18<48:39,  1.46s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.46s/it]
overall:  50%|████▉     | 1996/4000 [49:19<48:36,  1.46s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.46s/it]
overall:  50%|████▉     | 1997/4000 [49:21<48:48,  1.46s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.46s/it]
overall:  50%|████▉     | 1998/4000 [49:22<47:15,  1.42s/it]

train: 100%|██████████| 37/37 [00:54<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.49s/it]
train loss: 1.7913669347763062
train acc: 0.39676111936569214
train loss: 1.7541019916534424
train acc: 0.4020000100135803
train loss: 1.7479112148284912
train acc: 0.42800000309944153


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  50%|████▉     | 1999/4000 [49:24<55:50,  1.67s/it]

train:   3%|▎         | 1/37 [00:02<01:17,  2.16s/it]train loss: 1.767261266708374
train acc: 0.420040488243103



test:   0%|          | 0/15 [00:00<?, ?it/s]


test:   7%|▋         | 1/15 [00:02<00:30,  2.20s/it]


test:  13%|█▎        | 2/15 [00:03<00:23,  1.78s/it]


test:  20%|██        | 3/15 [00:05<00:19,  1.64s/it]


test:  27%|██▋       | 4/15 [00:06<00:17,  1.57s/it]


test:  33%|███▎      | 5/15 [00:08<00:15,  1.54s/it]


test:  40%|████      | 6/15 [00:09<00:13,  1.51s/it]


test:  47%|████▋     | 7/15 [00:11<00:11,  1.49s/it]


test:  53%|█████▎    | 8/15 [00:12<00:10,  1.48s/it]


test:  60%|██████    | 9/15 [00:13<00:08,  1.47s/it]


test:  67%|██████▋   | 10/15 [00:15<00:07,  1.47s/it]


test:  73%|███████▎  | 11/15 [00:16<00:05,  1.46s/it]


test:  80%|████████  | 12/15 [00:18<00:04,  1.46s/it]


test:  87%|████████▋ | 13/15 [00:19<00:02,  1.46s/it]


test:  93%|█████████▎| 14/15 [00:21<00:01,  1.45s/it]


test: 100%|██████████| 15/15 [00:21<00:00,  1.05s/it]
test: 100%|██████████| 15/15 [00:21<00:00,  1.43s/it]

overall:  50%|█████     | 2000/4000 [49:47<4:28:43,  8.06s/it]

train:   5%|▌         | 2/37 [00:25<08:23, 14.40s/it]
overall:  50%|█████     | 2001/4000 [49:49<3:24:24,  6.14s/it]

train:   8%|▊         | 3/37 [00:26<04:51,  8.57s/it]
overall:  50%|█████     | 2002/4000 [49:50<2:37:53,  4.74s/it]

train:  11%|█         | 4/37 [00:28<03:10,  5.78s/it]
overall:  50%|█████     | 2003/4000 [49:52<2:05:26,  3.77s/it]

train:  14%|█▎        | 5/37 [00:29<02:15,  4.23s/it]
overall:  50%|█████     | 2004/4000 [49:53<1:42:41,  3.09s/it]

train:  16%|█▌        | 6/37 [00:31<01:42,  3.30s/it]
overall:  50%|█████     | 2005/4000 [49:55<1:26:48,  2.61s/it]

train:  19%|█▉        | 7/37 [00:32<01:21,  2.71s/it]
overall:  50%|█████     | 2006/4000 [49:56<1:15:37,  2.28s/it]

train:  22%|██▏       | 8/37 [00:34<01:07,  2.33s/it]
overall:  50%|█████     | 2007/4000 [49:58<1:07:43,  2.04s/it]

train:  24%|██▍       | 9/37 [00:35<00:57,  2.06s/it]
overall:  50%|█████     | 2008/4000 [49:59<1:02:14,  1.87s/it]

train:  27%|██▋       | 10/37 [00:37<00:50,  1.89s/it]
overall:  50%|█████     | 2009/4000 [50:01<58:30,  1.76s/it]  

train:  30%|██▉       | 11/37 [00:38<00:45,  1.77s/it]
overall:  50%|█████     | 2010/4000 [50:02<55:53,  1.69s/it]

train:  32%|███▏      | 12/37 [00:40<00:42,  1.69s/it]
overall:  50%|█████     | 2011/4000 [50:04<54:04,  1.63s/it]

train:  35%|███▌      | 13/37 [00:41<00:39,  1.63s/it]
overall:  50%|█████     | 2012/4000 [50:05<52:40,  1.59s/it]

train:  38%|███▊      | 14/37 [00:43<00:36,  1.59s/it]
overall:  50%|█████     | 2013/4000 [50:07<51:33,  1.56s/it]

train:  41%|████      | 15/37 [00:44<00:34,  1.56s/it]
overall:  50%|█████     | 2014/4000 [50:08<50:59,  1.54s/it]

train:  43%|████▎     | 16/37 [00:46<00:32,  1.54s/it]
overall:  50%|█████     | 2015/4000 [50:10<50:19,  1.52s/it]

train:  46%|████▌     | 17/37 [00:47<00:30,  1.52s/it]
overall:  50%|█████     | 2016/4000 [50:11<49:55,  1.51s/it]

train:  49%|████▊     | 18/37 [00:49<00:28,  1.51s/it]
overall:  50%|█████     | 2017/4000 [50:13<49:45,  1.51s/it]

train:  51%|█████▏    | 19/37 [00:50<00:27,  1.51s/it]
overall:  50%|█████     | 2018/4000 [50:14<49:35,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:52<00:25,  1.50s/it]
overall:  50%|█████     | 2019/4000 [50:16<49:22,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:53<00:23,  1.50s/it]
overall:  50%|█████     | 2020/4000 [50:17<49:12,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:55<00:22,  1.49s/it]
overall:  51%|█████     | 2021/4000 [50:19<49:07,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:56<00:20,  1.49s/it]
overall:  51%|█████     | 2022/4000 [50:20<49:07,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:58<00:19,  1.49s/it]
overall:  51%|█████     | 2023/4000 [50:22<49:07,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:59<00:17,  1.49s/it]
overall:  51%|█████     | 2024/4000 [50:23<49:04,  1.49s/it]

train:  70%|███████   | 26/37 [01:01<00:16,  1.49s/it]
overall:  51%|█████     | 2025/4000 [50:25<49:11,  1.49s/it]

train:  73%|███████▎  | 27/37 [01:02<00:14,  1.49s/it]
overall:  51%|█████     | 2026/4000 [50:26<49:12,  1.50s/it]

train:  76%|███████▌  | 28/37 [01:04<00:13,  1.50s/it]
overall:  51%|█████     | 2027/4000 [50:28<49:08,  1.49s/it]

train:  78%|███████▊  | 29/37 [01:05<00:11,  1.49s/it]
overall:  51%|█████     | 2028/4000 [50:29<49:03,  1.49s/it]

train:  81%|████████  | 30/37 [01:07<00:10,  1.49s/it]
overall:  51%|█████     | 2029/4000 [50:31<49:12,  1.50s/it]

train:  84%|████████▍ | 31/37 [01:08<00:08,  1.50s/it]
overall:  51%|█████     | 2030/4000 [50:32<49:04,  1.49s/it]

train:  86%|████████▋ | 32/37 [01:10<00:07,  1.49s/it]
overall:  51%|█████     | 2031/4000 [50:34<49:03,  1.49s/it]

train:  89%|████████▉ | 33/37 [01:11<00:05,  1.49s/it]
overall:  51%|█████     | 2032/4000 [50:35<48:57,  1.49s/it]

train:  92%|█████████▏| 34/37 [01:13<00:04,  1.49s/it]
overall:  51%|█████     | 2033/4000 [50:37<48:57,  1.49s/it]

train:  95%|█████████▍| 35/37 [01:14<00:02,  1.49s/it]
overall:  51%|█████     | 2034/4000 [50:38<48:49,  1.49s/it]

train:  97%|█████████▋| 36/37 [01:16<00:01,  1.49s/it]
overall:  51%|█████     | 2035/4000 [50:39<46:50,  1.43s/it]

train: 100%|██████████| 37/37 [01:17<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [01:17<00:00,  2.09s/it]
test loss: 1.8718265295028687
test acc: 0.36939501762390137
train loss: 1.7691094875335693
train acc: 0.41200000047683716
train loss: 1.7698993682861328
train acc: 0.3959999978542328
train loss: 1.765892744064331
train acc: 0.40400001406669617


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  51%|█████     | 2036/4000 [50:42<56:59,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.33s/it]
overall:  51%|█████     | 2037/4000 [50:43<54:19,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  51%|█████     | 2038/4000 [50:45<52:11,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  51%|█████     | 2039/4000 [50:46<50:57,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  51%|█████     | 2040/4000 [50:48<49:57,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  51%|█████     | 2041/4000 [50:49<49:07,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  51%|█████     | 2042/4000 [50:51<48:41,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  51%|█████     | 2043/4000 [50:52<48:17,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:42,  1.48s/it]
overall:  51%|█████     | 2044/4000 [50:54<48:04,  1.47s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.47s/it]
overall:  51%|█████     | 2045/4000 [50:55<48:05,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  51%|█████     | 2046/4000 [50:57<48:06,  1.48s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.48s/it]
overall:  51%|█████     | 2047/4000 [50:58<48:15,  1.48s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.48s/it]
overall:  51%|█████     | 2048/4000 [51:00<48:27,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  51%|█████     | 2049/4000 [51:01<48:18,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  51%|█████▏    | 2050/4000 [51:03<48:12,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  51%|█████▏    | 2051/4000 [51:04<48:10,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  51%|█████▏    | 2052/4000 [51:06<48:15,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  51%|█████▏    | 2053/4000 [51:07<48:10,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  51%|█████▏    | 2054/4000 [51:08<48:05,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  51%|█████▏    | 2055/4000 [51:10<48:02,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  51%|█████▏    | 2056/4000 [51:11<48:02,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  51%|█████▏    | 2057/4000 [51:13<48:06,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  51%|█████▏    | 2058/4000 [51:14<48:03,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  51%|█████▏    | 2059/4000 [51:16<47:59,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  52%|█████▏    | 2060/4000 [51:17<48:06,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  52%|█████▏    | 2061/4000 [51:19<48:00,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  52%|█████▏    | 2062/4000 [51:20<47:54,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  52%|█████▏    | 2063/4000 [51:22<47:51,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  52%|█████▏    | 2064/4000 [51:23<47:50,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  52%|█████▏    | 2065/4000 [51:25<47:53,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  52%|█████▏    | 2066/4000 [51:26<47:51,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  52%|█████▏    | 2067/4000 [51:28<47:46,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  52%|█████▏    | 2068/4000 [51:29<47:43,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  52%|█████▏    | 2069/4000 [51:31<47:54,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  52%|█████▏    | 2070/4000 [51:32<47:49,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  52%|█████▏    | 2071/4000 [51:34<47:50,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  52%|█████▏    | 2072/4000 [51:35<45:54,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.776922583580017
train acc: 0.40991902351379395
train loss: 1.7627426385879517
train acc: 0.4000000059604645
train loss: 1.7583210468292236
train acc: 0.4309999942779541
train loss: 1.7414820194244385
train acc: 0.4350000023841858


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  52%|█████▏    | 2073/4000 [51:37<54:25,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  52%|█████▏    | 2074/4000 [51:39<52:07,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  52%|█████▏    | 2075/4000 [51:40<50:41,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  52%|█████▏    | 2076/4000 [51:42<49:43,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  52%|█████▏    | 2077/4000 [51:43<49:02,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  52%|█████▏    | 2078/4000 [51:45<48:30,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  52%|█████▏    | 2079/4000 [51:46<48:08,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  52%|█████▏    | 2080/4000 [51:48<47:53,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  52%|█████▏    | 2081/4000 [51:49<47:41,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.49s/it]
overall:  52%|█████▏    | 2082/4000 [51:51<47:40,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  52%|█████▏    | 2083/4000 [51:52<47:36,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  52%|█████▏    | 2084/4000 [51:54<47:29,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  52%|█████▏    | 2085/4000 [51:55<47:29,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  52%|█████▏    | 2086/4000 [51:57<47:28,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  52%|█████▏    | 2087/4000 [51:58<47:29,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  52%|█████▏    | 2088/4000 [52:00<47:34,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  52%|█████▏    | 2089/4000 [52:01<47:27,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  52%|█████▏    | 2090/4000 [52:03<47:21,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  52%|█████▏    | 2091/4000 [52:04<47:14,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  52%|█████▏    | 2092/4000 [52:06<47:10,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  52%|█████▏    | 2093/4000 [52:07<47:14,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  52%|█████▏    | 2094/4000 [52:08<47:19,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  52%|█████▏    | 2095/4000 [52:10<47:16,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  52%|█████▏    | 2096/4000 [52:11<47:10,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  52%|█████▏    | 2097/4000 [52:13<47:13,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  52%|█████▏    | 2098/4000 [52:14<47:10,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  52%|█████▏    | 2099/4000 [52:16<47:10,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  52%|█████▎    | 2100/4000 [52:17<47:15,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  53%|█████▎    | 2101/4000 [52:19<47:08,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  53%|█████▎    | 2102/4000 [52:20<47:10,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  53%|█████▎    | 2103/4000 [52:22<47:05,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  53%|█████▎    | 2104/4000 [52:23<47:06,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  53%|█████▎    | 2105/4000 [52:25<47:10,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  53%|█████▎    | 2106/4000 [52:26<47:11,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  53%|█████▎    | 2107/4000 [52:28<47:13,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.50s/it]
overall:  53%|█████▎    | 2108/4000 [52:29<47:12,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  53%|█████▎    | 2109/4000 [52:31<45:19,  1.44s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.8047224283218384
train acc: 0.38461539149284363
train loss: 1.736230492591858
train acc: 0.42399999499320984
train loss: 1.7587074041366577
train acc: 0.3919999897480011


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  53%|█████▎    | 2110/4000 [52:33<54:01,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  53%|█████▎    | 2111/4000 [52:35<51:47,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  53%|█████▎    | 2112/4000 [52:36<50:20,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  53%|█████▎    | 2113/4000 [52:38<49:14,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  53%|█████▎    | 2114/4000 [52:39<48:27,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  53%|█████▎    | 2115/4000 [52:40<47:56,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  53%|█████▎    | 2116/4000 [52:42<47:41,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  53%|█████▎    | 2117/4000 [52:43<47:18,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  53%|█████▎    | 2118/4000 [52:45<47:01,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  53%|█████▎    | 2119/4000 [52:46<46:48,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  53%|█████▎    | 2120/4000 [52:48<46:38,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  53%|█████▎    | 2121/4000 [52:49<46:32,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  53%|█████▎    | 2122/4000 [52:51<46:46,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  53%|█████▎    | 2123/4000 [52:52<46:47,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  53%|█████▎    | 2124/4000 [52:54<46:37,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  53%|█████▎    | 2125/4000 [52:55<46:28,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  53%|█████▎    | 2126/4000 [52:57<46:24,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  53%|█████▎    | 2127/4000 [52:58<46:22,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  53%|█████▎    | 2128/4000 [53:00<46:17,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  53%|█████▎    | 2129/4000 [53:01<46:10,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  53%|█████▎    | 2130/4000 [53:03<46:11,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  53%|█████▎    | 2131/4000 [53:04<46:07,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  53%|█████▎    | 2132/4000 [53:06<46:04,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  53%|█████▎    | 2133/4000 [53:07<46:04,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  53%|█████▎    | 2134/4000 [53:09<46:13,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  53%|█████▎    | 2135/4000 [53:10<46:07,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  53%|█████▎    | 2136/4000 [53:12<46:04,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  53%|█████▎    | 2137/4000 [53:13<46:01,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  53%|█████▎    | 2138/4000 [53:15<46:06,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  53%|█████▎    | 2139/4000 [53:16<46:01,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  54%|█████▎    | 2140/4000 [53:18<46:07,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  54%|█████▎    | 2141/4000 [53:19<46:05,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  54%|█████▎    | 2142/4000 [53:21<46:06,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  54%|█████▎    | 2143/4000 [53:22<46:01,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  54%|█████▎    | 2144/4000 [53:24<45:57,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  54%|█████▎    | 2145/4000 [53:25<45:55,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  54%|█████▎    | 2146/4000 [53:26<44:12,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.756608009338379
train acc: 0.4170040488243103
train loss: 1.8108670711517334
train acc: 0.40799999237060547
train loss: 1.7510840892791748
train acc: 0.40299999713897705
train loss: 1.7736501693725586
train acc: 0.38600000739097595


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  54%|█████▎    | 2147/4000 [53:29<52:42,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  54%|█████▎    | 2148/4000 [53:30<50:44,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.80s/it]
overall:  54%|█████▎    | 2149/4000 [53:32<49:09,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  54%|█████▍    | 2150/4000 [53:33<48:07,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  54%|█████▍    | 2151/4000 [53:35<47:19,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  54%|█████▍    | 2152/4000 [53:36<46:38,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  54%|█████▍    | 2153/4000 [53:38<46:16,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  54%|█████▍    | 2154/4000 [53:39<46:03,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  54%|█████▍    | 2155/4000 [53:41<45:51,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.49s/it]
overall:  54%|█████▍    | 2156/4000 [53:42<45:49,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  54%|█████▍    | 2157/4000 [53:44<45:54,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  54%|█████▍    | 2158/4000 [53:45<45:47,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  54%|█████▍    | 2159/4000 [53:47<45:49,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  54%|█████▍    | 2160/4000 [53:48<45:51,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  54%|█████▍    | 2161/4000 [53:49<45:41,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  54%|█████▍    | 2162/4000 [53:51<45:34,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  54%|█████▍    | 2163/4000 [53:52<45:27,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  54%|█████▍    | 2164/4000 [53:54<45:32,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  54%|█████▍    | 2165/4000 [53:55<45:28,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  54%|█████▍    | 2166/4000 [53:57<45:20,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  54%|█████▍    | 2167/4000 [53:58<45:16,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  54%|█████▍    | 2168/4000 [54:00<45:12,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  54%|█████▍    | 2169/4000 [54:01<45:10,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  54%|█████▍    | 2170/4000 [54:03<45:13,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  54%|█████▍    | 2171/4000 [54:04<45:28,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  54%|█████▍    | 2172/4000 [54:06<45:23,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  54%|█████▍    | 2173/4000 [54:07<45:23,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  54%|█████▍    | 2174/4000 [54:09<45:30,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  54%|█████▍    | 2175/4000 [54:10<45:27,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  54%|█████▍    | 2176/4000 [54:12<45:21,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  54%|█████▍    | 2177/4000 [54:13<45:21,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  54%|█████▍    | 2178/4000 [54:15<45:15,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  54%|█████▍    | 2179/4000 [54:16<45:15,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  55%|█████▍    | 2180/4000 [54:18<45:17,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  55%|█████▍    | 2181/4000 [54:19<45:12,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  55%|█████▍    | 2182/4000 [54:21<45:11,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  55%|█████▍    | 2183/4000 [54:22<43:26,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.7413336038589478
train acc: 0.4281376600265503
train loss: 1.746251106262207
train acc: 0.421999990940094
train loss: 1.7288787364959717
train acc: 0.4129999876022339
train loss: 1.7724664211273193
train acc: 0.40299999713897705


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  55%|█████▍    | 2184/4000 [54:25<52:53,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.35s/it]
overall:  55%|█████▍    | 2185/4000 [54:26<50:18,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  55%|█████▍    | 2186/4000 [54:27<48:33,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  55%|█████▍    | 2187/4000 [54:29<47:24,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  55%|█████▍    | 2188/4000 [54:30<46:33,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  55%|█████▍    | 2189/4000 [54:32<46:00,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  55%|█████▍    | 2190/4000 [54:33<45:47,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  55%|█████▍    | 2191/4000 [54:35<45:31,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  55%|█████▍    | 2192/4000 [54:36<45:17,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  55%|█████▍    | 2193/4000 [54:38<45:13,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  55%|█████▍    | 2194/4000 [54:39<45:07,  1.50s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.50s/it]
overall:  55%|█████▍    | 2195/4000 [54:41<44:59,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  55%|█████▍    | 2196/4000 [54:42<45:10,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.50s/it]
overall:  55%|█████▍    | 2197/4000 [54:44<45:03,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  55%|█████▍    | 2198/4000 [54:45<44:54,  1.50s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.50s/it]
overall:  55%|█████▍    | 2199/4000 [54:47<44:52,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  55%|█████▌    | 2200/4000 [54:48<44:53,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.50s/it]
overall:  55%|█████▌    | 2201/4000 [54:50<44:46,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  55%|█████▌    | 2202/4000 [54:51<44:37,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.49s/it]
overall:  55%|█████▌    | 2203/4000 [54:53<44:28,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  55%|█████▌    | 2204/4000 [54:54<44:26,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.48s/it]
overall:  55%|█████▌    | 2205/4000 [54:56<44:22,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  55%|█████▌    | 2206/4000 [54:57<44:19,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.48s/it]
overall:  55%|█████▌    | 2207/4000 [54:59<44:24,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  55%|█████▌    | 2208/4000 [55:00<44:31,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.49s/it]
overall:  55%|█████▌    | 2209/4000 [55:02<44:24,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  55%|█████▌    | 2210/4000 [55:03<44:18,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:41<00:14,  1.49s/it]
overall:  55%|█████▌    | 2211/4000 [55:05<44:13,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  55%|█████▌    | 2212/4000 [55:06<44:12,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  55%|█████▌    | 2213/4000 [55:08<44:14,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  55%|█████▌    | 2214/4000 [55:09<44:14,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  55%|█████▌    | 2215/4000 [55:11<44:15,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  55%|█████▌    | 2216/4000 [55:12<44:13,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  55%|█████▌    | 2217/4000 [55:14<44:15,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  55%|█████▌    | 2218/4000 [55:15<44:11,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  55%|█████▌    | 2219/4000 [55:17<44:04,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  56%|█████▌    | 2220/4000 [55:18<42:19,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.8022453784942627
train acc: 0.3927125632762909
train loss: 1.7508853673934937
train acc: 0.4320000112056732
train loss: 1.7513716220855713
train acc: 0.41600000858306885
train loss: 1.73745858669281
train acc: 0.4058704376220703


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  56%|█████▌    | 2221/4000 [55:20<50:18,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  56%|█████▌    | 2222/4000 [55:22<48:21,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  56%|█████▌    | 2223/4000 [55:23<47:03,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.65s/it]
overall:  56%|█████▌    | 2224/4000 [55:25<46:09,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  56%|█████▌    | 2225/4000 [55:26<45:25,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  56%|█████▌    | 2226/4000 [55:28<44:54,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  56%|█████▌    | 2227/4000 [55:29<44:30,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  56%|█████▌    | 2228/4000 [55:31<44:13,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  56%|█████▌    | 2229/4000 [55:32<44:13,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  56%|█████▌    | 2230/4000 [55:34<44:04,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  56%|█████▌    | 2231/4000 [55:35<43:55,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  56%|█████▌    | 2232/4000 [55:37<43:47,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  56%|█████▌    | 2233/4000 [55:38<44:11,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.50s/it]
overall:  56%|█████▌    | 2234/4000 [55:40<43:59,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  56%|█████▌    | 2235/4000 [55:41<43:52,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  56%|█████▌    | 2236/4000 [55:42<43:43,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  56%|█████▌    | 2237/4000 [55:44<43:37,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  56%|█████▌    | 2238/4000 [55:45<43:34,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  56%|█████▌    | 2239/4000 [55:47<43:31,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  56%|█████▌    | 2240/4000 [55:48<43:32,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  56%|█████▌    | 2241/4000 [55:50<43:25,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  56%|█████▌    | 2242/4000 [55:51<43:20,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  56%|█████▌    | 2243/4000 [55:53<43:20,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  56%|█████▌    | 2244/4000 [55:54<43:18,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  56%|█████▌    | 2245/4000 [55:56<43:35,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  56%|█████▌    | 2246/4000 [55:57<43:40,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  56%|█████▌    | 2247/4000 [55:59<43:40,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  56%|█████▌    | 2248/4000 [56:00<43:33,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  56%|█████▌    | 2249/4000 [56:02<43:26,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  56%|█████▋    | 2250/4000 [56:03<43:27,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  56%|█████▋    | 2251/4000 [56:05<43:23,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  56%|█████▋    | 2252/4000 [56:06<43:25,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  56%|█████▋    | 2253/4000 [56:08<43:20,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  56%|█████▋    | 2254/4000 [56:09<43:21,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  56%|█████▋    | 2255/4000 [56:11<43:25,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  56%|█████▋    | 2256/4000 [56:12<43:19,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  56%|█████▋    | 2257/4000 [56:14<41:43,  1.44s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.6991078853607178
train acc: 0.4390000104904175
train loss: 1.7865129709243774
train acc: 0.3880000114440918
train loss: 1.7645343542099
train acc: 0.3889999985694885


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  56%|█████▋    | 2258/4000 [56:16<50:28,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  56%|█████▋    | 2259/4000 [56:17<48:13,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  56%|█████▋    | 2260/4000 [56:19<46:37,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  57%|█████▋    | 2261/4000 [56:20<45:29,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  57%|█████▋    | 2262/4000 [56:22<44:46,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  57%|█████▋    | 2263/4000 [56:23<44:20,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  57%|█████▋    | 2264/4000 [56:25<43:56,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  57%|█████▋    | 2265/4000 [56:26<43:34,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  57%|█████▋    | 2266/4000 [56:28<43:28,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  57%|█████▋    | 2267/4000 [56:29<43:21,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  57%|█████▋    | 2268/4000 [56:31<43:11,  1.50s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.50s/it]
overall:  57%|█████▋    | 2269/4000 [56:32<43:11,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  57%|█████▋    | 2270/4000 [56:34<43:23,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.50s/it]
overall:  57%|█████▋    | 2271/4000 [56:35<43:08,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  57%|█████▋    | 2272/4000 [56:37<42:56,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  57%|█████▋    | 2273/4000 [56:38<42:49,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  57%|█████▋    | 2274/4000 [56:40<42:50,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  57%|█████▋    | 2275/4000 [56:41<42:37,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  57%|█████▋    | 2276/4000 [56:43<42:33,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  57%|█████▋    | 2277/4000 [56:44<42:29,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  57%|█████▋    | 2278/4000 [56:46<42:29,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.48s/it]
overall:  57%|█████▋    | 2279/4000 [56:47<42:35,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  57%|█████▋    | 2280/4000 [56:49<42:34,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:  57%|█████▋    | 2281/4000 [56:50<42:30,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  57%|█████▋    | 2282/4000 [56:52<42:36,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.49s/it]
overall:  57%|█████▋    | 2283/4000 [56:53<42:30,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  57%|█████▋    | 2284/4000 [56:55<42:26,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  57%|█████▋    | 2285/4000 [56:56<42:40,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  57%|█████▋    | 2286/4000 [56:58<42:32,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  57%|█████▋    | 2287/4000 [56:59<42:25,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  57%|█████▋    | 2288/4000 [57:01<42:20,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  57%|█████▋    | 2289/4000 [57:02<42:19,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  57%|█████▋    | 2290/4000 [57:04<42:23,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  57%|█████▋    | 2291/4000 [57:05<42:20,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  57%|█████▋    | 2292/4000 [57:07<42:15,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  57%|█████▋    | 2293/4000 [57:08<42:18,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  57%|█████▋    | 2294/4000 [57:09<40:34,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.7612158060073853
train acc: 0.4281376600265503
train loss: 1.7073020935058594
train acc: 0.41600000858306885
train loss: 1.8153156042099
train acc: 0.39100000262260437
train loss: 1.7187350988388062
train acc: 0.41499999165534973


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  57%|█████▋    | 2295/4000 [57:12<48:17,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  57%|█████▋    | 2296/4000 [57:13<46:24,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  57%|█████▋    | 2297/4000 [57:15<45:04,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  57%|█████▋    | 2298/4000 [57:16<44:07,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  57%|█████▋    | 2299/4000 [57:18<43:26,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  57%|█████▊    | 2300/4000 [57:19<42:57,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  58%|█████▊    | 2301/4000 [57:21<42:37,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  58%|█████▊    | 2302/4000 [57:22<42:24,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  58%|█████▊    | 2303/4000 [57:24<42:11,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.49s/it]
overall:  58%|█████▊    | 2304/4000 [57:25<42:11,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  58%|█████▊    | 2305/4000 [57:26<42:03,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  58%|█████▊    | 2306/4000 [57:28<42:17,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  58%|█████▊    | 2307/4000 [57:30<42:20,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.50s/it]
overall:  58%|█████▊    | 2308/4000 [57:31<42:07,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  58%|█████▊    | 2309/4000 [57:32<41:58,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  58%|█████▊    | 2310/4000 [57:34<41:53,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  58%|█████▊    | 2311/4000 [57:35<41:47,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  58%|█████▊    | 2312/4000 [57:37<41:42,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  58%|█████▊    | 2313/4000 [57:38<41:37,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  58%|█████▊    | 2314/4000 [57:40<41:37,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  58%|█████▊    | 2315/4000 [57:41<41:36,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  58%|█████▊    | 2316/4000 [57:43<41:40,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  58%|█████▊    | 2317/4000 [57:44<41:36,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  58%|█████▊    | 2318/4000 [57:46<41:34,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  58%|█████▊    | 2319/4000 [57:47<41:43,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  58%|█████▊    | 2320/4000 [57:49<41:36,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  58%|█████▊    | 2321/4000 [57:50<41:32,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  58%|█████▊    | 2322/4000 [57:52<41:28,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  58%|█████▊    | 2323/4000 [57:53<41:24,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  58%|█████▊    | 2324/4000 [57:55<41:22,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  58%|█████▊    | 2325/4000 [57:56<41:17,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  58%|█████▊    | 2326/4000 [57:58<41:18,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  58%|█████▊    | 2327/4000 [57:59<41:27,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  58%|█████▊    | 2328/4000 [58:01<41:21,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  58%|█████▊    | 2329/4000 [58:02<41:15,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  58%|█████▊    | 2330/4000 [58:04<41:12,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  58%|█████▊    | 2331/4000 [58:05<39:31,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.8109915256500244
train acc: 0.39878541231155396
train loss: 1.7264503240585327
train acc: 0.4269999861717224
train loss: 1.7228567600250244
train acc: 0.42500001192092896
train loss: 1.7455644607543945
train acc: 0.42500001192092896


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  58%|█████▊    | 2332/4000 [58:07<47:01,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  58%|█████▊    | 2333/4000 [58:09<45:19,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  58%|█████▊    | 2334/4000 [58:10<43:56,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  58%|█████▊    | 2335/4000 [58:12<43:00,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  58%|█████▊    | 2336/4000 [58:13<42:25,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  58%|█████▊    | 2337/4000 [58:15<41:59,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  58%|█████▊    | 2338/4000 [58:16<41:40,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  58%|█████▊    | 2339/4000 [58:18<41:26,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  58%|█████▊    | 2340/4000 [58:19<41:23,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  59%|█████▊    | 2341/4000 [58:21<41:16,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  59%|█████▊    | 2342/4000 [58:22<41:08,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  59%|█████▊    | 2343/4000 [58:23<41:01,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  59%|█████▊    | 2344/4000 [58:25<41:06,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  59%|█████▊    | 2345/4000 [58:26<41:07,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  59%|█████▊    | 2346/4000 [58:28<41:06,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  59%|█████▊    | 2347/4000 [58:29<40:56,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  59%|█████▊    | 2348/4000 [58:31<40:49,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  59%|█████▊    | 2349/4000 [58:32<40:48,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  59%|█████▉    | 2350/4000 [58:34<40:53,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  59%|█████▉    | 2351/4000 [58:35<40:50,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  59%|█████▉    | 2352/4000 [58:37<40:46,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  59%|█████▉    | 2353/4000 [58:38<40:44,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  59%|█████▉    | 2354/4000 [58:40<40:50,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  59%|█████▉    | 2355/4000 [58:41<40:43,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  59%|█████▉    | 2356/4000 [58:43<40:47,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  59%|█████▉    | 2357/4000 [58:44<40:59,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  59%|█████▉    | 2358/4000 [58:46<40:54,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  59%|█████▉    | 2359/4000 [58:47<40:49,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  59%|█████▉    | 2360/4000 [58:49<40:44,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  59%|█████▉    | 2361/4000 [58:50<40:58,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  59%|█████▉    | 2362/4000 [58:52<40:57,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:46<00:09,  1.50s/it]
overall:  59%|█████▉    | 2363/4000 [58:53<40:53,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  59%|█████▉    | 2364/4000 [58:55<40:43,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  59%|█████▉    | 2365/4000 [58:56<40:41,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  59%|█████▉    | 2366/4000 [58:58<40:42,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  59%|█████▉    | 2367/4000 [58:59<40:42,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  59%|█████▉    | 2368/4000 [59:01<39:05,  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: 1.7475017309188843
train acc: 0.39170041680336
train loss: 1.7506115436553955
train acc: 0.4189999997615814
train loss: 1.7455873489379883
train acc: 0.42500001192092896


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  59%|█████▉    | 2369/4000 [59:03<47:20,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  59%|█████▉    | 2370/4000 [59:05<45:07,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  59%|█████▉    | 2371/4000 [59:06<43:46,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  59%|█████▉    | 2372/4000 [59:07<42:40,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  59%|█████▉    | 2373/4000 [59:09<41:52,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  59%|█████▉    | 2374/4000 [59:10<41:20,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  59%|█████▉    | 2375/4000 [59:12<40:57,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  59%|█████▉    | 2376/4000 [59:13<40:39,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  59%|█████▉    | 2377/4000 [59:15<40:31,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  59%|█████▉    | 2378/4000 [59:16<40:23,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  59%|█████▉    | 2379/4000 [59:18<40:26,  1.50s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.50s/it]
overall:  60%|█████▉    | 2380/4000 [59:19<40:17,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  60%|█████▉    | 2381/4000 [59:21<40:28,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.50s/it]
overall:  60%|█████▉    | 2382/4000 [59:22<40:19,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  60%|█████▉    | 2383/4000 [59:24<40:17,  1.50s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.50s/it]
overall:  60%|█████▉    | 2384/4000 [59:25<40:09,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  60%|█████▉    | 2385/4000 [59:27<40:01,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  60%|█████▉    | 2386/4000 [59:28<39:56,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  60%|█████▉    | 2387/4000 [59:30<40:01,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.49s/it]
overall:  60%|█████▉    | 2388/4000 [59:31<40:02,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  60%|█████▉    | 2389/4000 [59:33<39:55,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:  60%|█████▉    | 2390/4000 [59:34<39:54,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  60%|█████▉    | 2391/4000 [59:36<39:48,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.48s/it]
overall:  60%|█████▉    | 2392/4000 [59:37<39:54,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  60%|█████▉    | 2393/4000 [59:39<41:22,  1.54s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.54s/it]
overall:  60%|█████▉    | 2394/4000 [59:40<40:47,  1.52s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.52s/it]
overall:  60%|█████▉    | 2395/4000 [59:42<40:19,  1.51s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.51s/it]
overall:  60%|█████▉    | 2396/4000 [59:43<40:04,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  60%|█████▉    | 2397/4000 [59:45<40:00,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:11,  1.50s/it]
overall:  60%|█████▉    | 2398/4000 [59:46<39:50,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  60%|█████▉    | 2399/4000 [59:48<39:42,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.49s/it]
overall:  60%|██████    | 2400/4000 [59:49<39:39,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  60%|██████    | 2401/4000 [59:51<39:32,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.48s/it]
overall:  60%|██████    | 2402/4000 [59:52<39:30,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  60%|██████    | 2403/4000 [59:54<39:27,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.48s/it]
overall:  60%|██████    | 2404/4000 [59:55<39:31,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  60%|██████    | 2405/4000 [59:57<38:00,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.7593297958374023
train acc: 0.4068825840950012
train loss: 1.7249135971069336
train acc: 0.4350000023841858
train loss: 1.7624222040176392
train acc: 0.4099999964237213
train loss: 1.7545394897460938
train acc: 0.40400001406669617


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  60%|██████    | 2406/4000 [59:59<45:03,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  60%|██████    | 2407/4000 [1:00:00<43:18,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.77s/it]
overall:  60%|██████    | 2408/4000 [1:00:02<42:04,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  60%|██████    | 2409/4000 [1:00:03<41:06,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  60%|██████    | 2410/4000 [1:00:05<40:28,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  60%|██████    | 2411/4000 [1:00:06<39:56,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  60%|██████    | 2412/4000 [1:00:08<39:32,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  60%|██████    | 2413/4000 [1:00:09<39:21,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  60%|██████    | 2414/4000 [1:00:11<39:18,  1.49s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.49s/it]
overall:  60%|██████    | 2415/4000 [1:00:12<39:20,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  60%|██████    | 2416/4000 [1:00:14<39:13,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  60%|██████    | 2417/4000 [1:00:15<39:20,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  60%|██████    | 2418/4000 [1:00:17<39:22,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  60%|██████    | 2419/4000 [1:00:18<39:13,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  60%|██████    | 2420/4000 [1:00:20<39:07,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  61%|██████    | 2421/4000 [1:00:21<39:11,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  61%|██████    | 2422/4000 [1:00:23<39:06,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  61%|██████    | 2423/4000 [1:00:24<39:21,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  61%|██████    | 2424/4000 [1:00:26<39:12,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  61%|██████    | 2425/4000 [1:00:27<39:05,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  61%|██████    | 2426/4000 [1:00:29<39:08,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  61%|██████    | 2427/4000 [1:00:30<39:01,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  61%|██████    | 2428/4000 [1:00:31<38:55,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  61%|██████    | 2429/4000 [1:00:33<38:57,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  61%|██████    | 2430/4000 [1:00:34<39:04,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  61%|██████    | 2431/4000 [1:00:36<38:56,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  61%|██████    | 2432/4000 [1:00:37<38:57,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  61%|██████    | 2433/4000 [1:00:39<38:52,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  61%|██████    | 2434/4000 [1:00:40<38:52,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  61%|██████    | 2435/4000 [1:00:42<38:50,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  61%|██████    | 2436/4000 [1:00:43<38:44,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  61%|██████    | 2437/4000 [1:00:45<38:40,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  61%|██████    | 2438/4000 [1:00:46<38:42,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  61%|██████    | 2439/4000 [1:00:48<38:42,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  61%|██████    | 2440/4000 [1:00:49<38:53,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.50s/it]
overall:  61%|██████    | 2441/4000 [1:00:51<38:44,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  61%|██████    | 2442/4000 [1:00:52<37:14,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7541358470916748
train acc: 0.4170040488243103
train loss: 1.7923179864883423
train acc: 0.39899998903274536
train loss: 1.7286897897720337
train acc: 0.414000004529953
train loss: 1.6954500675201416
train acc: 0.4429999887943268


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  61%|██████    | 2443/4000 [1:00:54<44:15,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  61%|██████    | 2444/4000 [1:00:56<42:27,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  61%|██████    | 2445/4000 [1:00:57<41:09,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  61%|██████    | 2446/4000 [1:00:59<40:18,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  61%|██████    | 2447/4000 [1:01:00<39:40,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  61%|██████    | 2448/4000 [1:01:02<39:13,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  61%|██████    | 2449/4000 [1:01:03<38:50,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.50s/it]
overall:  61%|██████▏   | 2450/4000 [1:01:05<38:45,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  61%|██████▏   | 2451/4000 [1:01:06<38:31,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.49s/it]
overall:  61%|██████▏   | 2452/4000 [1:01:08<38:24,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  61%|██████▏   | 2453/4000 [1:01:09<38:21,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  61%|██████▏   | 2454/4000 [1:01:11<38:22,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  61%|██████▏   | 2455/4000 [1:01:12<38:28,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  61%|██████▏   | 2456/4000 [1:01:14<38:17,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  61%|██████▏   | 2457/4000 [1:01:15<38:05,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  61%|██████▏   | 2458/4000 [1:01:17<38:01,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  61%|██████▏   | 2459/4000 [1:01:18<38:02,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  62%|██████▏   | 2460/4000 [1:01:20<37:58,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  62%|██████▏   | 2461/4000 [1:01:21<37:56,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  62%|██████▏   | 2462/4000 [1:01:23<37:57,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  62%|██████▏   | 2463/4000 [1:01:24<37:55,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  62%|██████▏   | 2464/4000 [1:01:26<37:52,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  62%|██████▏   | 2465/4000 [1:01:27<37:49,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  62%|██████▏   | 2466/4000 [1:01:29<37:50,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  62%|██████▏   | 2467/4000 [1:01:30<37:58,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  62%|██████▏   | 2468/4000 [1:01:32<37:53,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  62%|██████▏   | 2469/4000 [1:01:33<37:49,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  62%|██████▏   | 2470/4000 [1:01:34<37:47,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  62%|██████▏   | 2471/4000 [1:01:36<37:42,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  62%|██████▏   | 2472/4000 [1:01:37<37:39,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  62%|██████▏   | 2473/4000 [1:01:39<37:41,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  62%|██████▏   | 2474/4000 [1:01:40<37:39,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  62%|██████▏   | 2475/4000 [1:01:42<37:37,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  62%|██████▏   | 2476/4000 [1:01:43<37:33,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  62%|██████▏   | 2477/4000 [1:01:45<37:28,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  62%|██████▏   | 2478/4000 [1:01:46<37:29,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  62%|██████▏   | 2479/4000 [1:01:48<36:04,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.760026216506958
train acc: 0.4048582911491394
train loss: 1.7123610973358154
train acc: 0.4320000112056732
train loss: 1.7301723957061768
train acc: 0.4259999990463257


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  62%|██████▏   | 2480/4000 [1:01:50<43:50,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  62%|██████▏   | 2481/4000 [1:01:52<42:02,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  62%|██████▏   | 2482/4000 [1:01:53<40:37,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  62%|██████▏   | 2483/4000 [1:01:54<39:34,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  62%|██████▏   | 2484/4000 [1:01:56<38:53,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  62%|██████▏   | 2485/4000 [1:01:57<38:22,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  62%|██████▏   | 2486/4000 [1:01:59<38:04,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  62%|██████▏   | 2487/4000 [1:02:00<37:55,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  62%|██████▏   | 2488/4000 [1:02:02<37:53,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  62%|██████▏   | 2489/4000 [1:02:03<37:40,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  62%|██████▏   | 2490/4000 [1:02:05<37:34,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  62%|██████▏   | 2491/4000 [1:02:06<37:31,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  62%|██████▏   | 2492/4000 [1:02:08<37:38,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.50s/it]
overall:  62%|██████▏   | 2493/4000 [1:02:09<37:37,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  62%|██████▏   | 2494/4000 [1:02:11<37:26,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  62%|██████▏   | 2495/4000 [1:02:12<37:19,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  62%|██████▏   | 2496/4000 [1:02:14<37:14,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  62%|██████▏   | 2497/4000 [1:02:15<37:10,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  62%|██████▏   | 2498/4000 [1:02:17<37:07,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  62%|██████▏   | 2499/4000 [1:02:18<37:13,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  62%|██████▎   | 2500/4000 [1:02:20<37:08,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:  63%|██████▎   | 2501/4000 [1:02:21<37:10,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  63%|██████▎   | 2502/4000 [1:02:23<37:07,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:  63%|██████▎   | 2503/4000 [1:02:24<37:11,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  63%|██████▎   | 2504/4000 [1:02:26<37:12,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.49s/it]
overall:  63%|██████▎   | 2505/4000 [1:02:27<37:07,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  63%|██████▎   | 2506/4000 [1:02:29<36:58,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  63%|██████▎   | 2507/4000 [1:02:30<36:59,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  63%|██████▎   | 2508/4000 [1:02:32<36:52,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  63%|██████▎   | 2509/4000 [1:02:33<36:56,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  63%|██████▎   | 2510/4000 [1:02:35<36:54,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  63%|██████▎   | 2511/4000 [1:02:36<36:57,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  63%|██████▎   | 2512/4000 [1:02:38<36:52,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  63%|██████▎   | 2513/4000 [1:02:39<36:47,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  63%|██████▎   | 2514/4000 [1:02:41<36:50,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  63%|██████▎   | 2515/4000 [1:02:42<36:47,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  63%|██████▎   | 2516/4000 [1:02:43<35:19,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.739976167678833
train acc: 0.41194331645965576
train loss: 1.750448226928711
train acc: 0.4099999964237213
train loss: 1.7627944946289062
train acc: 0.42100000381469727
train loss: 1.7491483688354492
train acc: 0.4059999883174896


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  63%|██████▎   | 2517/4000 [1:02:46<42:57,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  63%|██████▎   | 2518/4000 [1:02:47<41:00,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  63%|██████▎   | 2519/4000 [1:02:49<39:42,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  63%|██████▎   | 2520/4000 [1:02:50<38:43,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  63%|██████▎   | 2521/4000 [1:02:52<38:00,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  63%|██████▎   | 2522/4000 [1:02:53<37:31,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  63%|██████▎   | 2523/4000 [1:02:55<37:11,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  63%|██████▎   | 2524/4000 [1:02:56<37:02,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  63%|██████▎   | 2525/4000 [1:02:58<36:49,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  63%|██████▎   | 2526/4000 [1:02:59<36:44,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  63%|██████▎   | 2527/4000 [1:03:01<36:33,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  63%|██████▎   | 2528/4000 [1:03:02<36:28,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  63%|██████▎   | 2529/4000 [1:03:04<36:37,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  63%|██████▎   | 2530/4000 [1:03:05<36:30,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  63%|██████▎   | 2531/4000 [1:03:07<36:27,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  63%|██████▎   | 2532/4000 [1:03:08<36:27,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  63%|██████▎   | 2533/4000 [1:03:10<36:16,  1.48s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.48s/it]
overall:  63%|██████▎   | 2534/4000 [1:03:11<36:12,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  63%|██████▎   | 2535/4000 [1:03:13<36:07,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  63%|██████▎   | 2536/4000 [1:03:14<36:01,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  63%|██████▎   | 2537/4000 [1:03:15<36:10,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  63%|██████▎   | 2538/4000 [1:03:17<36:05,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  63%|██████▎   | 2539/4000 [1:03:18<36:02,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  64%|██████▎   | 2540/4000 [1:03:20<36:00,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  64%|██████▎   | 2541/4000 [1:03:21<36:08,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  64%|██████▎   | 2542/4000 [1:03:23<36:01,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  64%|██████▎   | 2543/4000 [1:03:24<35:58,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  64%|██████▎   | 2544/4000 [1:03:26<35:55,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  64%|██████▎   | 2545/4000 [1:03:27<35:54,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  64%|██████▎   | 2546/4000 [1:03:29<35:54,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  64%|██████▎   | 2547/4000 [1:03:30<35:49,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  64%|██████▎   | 2548/4000 [1:03:32<35:41,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  64%|██████▎   | 2549/4000 [1:03:33<35:39,  1.47s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.47s/it]
overall:  64%|██████▍   | 2550/4000 [1:03:35<35:47,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  64%|██████▍   | 2551/4000 [1:03:36<35:49,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  64%|██████▍   | 2552/4000 [1:03:38<35:52,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  64%|██████▍   | 2553/4000 [1:03:39<34:30,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.6958955526351929
train acc: 0.41194331645965576
train loss: 1.7277886867523193
train acc: 0.40799999237060547
train loss: 1.7644236087799072
train acc: 0.40299999713897705
train loss: 1.735418677330017
train acc: 0.4300000071525574


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  64%|██████▍   | 2554/4000 [1:03:41<40:55,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  64%|██████▍   | 2555/4000 [1:03:43<39:19,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.77s/it]
overall:  64%|██████▍   | 2556/4000 [1:03:44<38:11,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  64%|██████▍   | 2557/4000 [1:03:46<37:29,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  64%|██████▍   | 2558/4000 [1:03:47<36:56,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  64%|██████▍   | 2559/4000 [1:03:49<36:29,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  64%|██████▍   | 2560/4000 [1:03:50<36:17,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  64%|██████▍   | 2561/4000 [1:03:52<36:20,  1.52s/it]

train:  22%|██▏       | 8/37 [00:12<00:44,  1.52s/it]
overall:  64%|██████▍   | 2562/4000 [1:03:53<36:09,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.51s/it]
overall:  64%|██████▍   | 2563/4000 [1:03:55<35:58,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  64%|██████▍   | 2564/4000 [1:03:56<35:47,  1.50s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.50s/it]
overall:  64%|██████▍   | 2565/4000 [1:03:58<35:38,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  64%|██████▍   | 2566/4000 [1:03:59<35:41,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  64%|██████▍   | 2567/4000 [1:04:01<35:33,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  64%|██████▍   | 2568/4000 [1:04:02<35:27,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  64%|██████▍   | 2569/4000 [1:04:04<35:23,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  64%|██████▍   | 2570/4000 [1:04:05<35:20,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  64%|██████▍   | 2571/4000 [1:04:07<35:24,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  64%|██████▍   | 2572/4000 [1:04:08<35:21,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  64%|██████▍   | 2573/4000 [1:04:10<35:17,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  64%|██████▍   | 2574/4000 [1:04:11<35:14,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  64%|██████▍   | 2575/4000 [1:04:13<35:12,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  64%|██████▍   | 2576/4000 [1:04:14<35:18,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  64%|██████▍   | 2577/4000 [1:04:16<35:19,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  64%|██████▍   | 2578/4000 [1:04:17<35:23,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  64%|██████▍   | 2579/4000 [1:04:19<35:16,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  64%|██████▍   | 2580/4000 [1:04:20<35:14,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  65%|██████▍   | 2581/4000 [1:04:21<35:11,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  65%|██████▍   | 2582/4000 [1:04:23<35:06,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  65%|██████▍   | 2583/4000 [1:04:24<35:04,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  65%|██████▍   | 2584/4000 [1:04:26<35:01,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  65%|██████▍   | 2585/4000 [1:04:27<35:03,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  65%|██████▍   | 2586/4000 [1:04:29<35:01,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  65%|██████▍   | 2587/4000 [1:04:30<34:58,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  65%|██████▍   | 2588/4000 [1:04:32<34:59,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  65%|██████▍   | 2589/4000 [1:04:33<34:56,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  65%|██████▍   | 2590/4000 [1:04:35<33:35,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7407844066619873
train acc: 0.420040488243103
train loss: 1.7604095935821533
train acc: 0.4090000092983246
train loss: 1.741369605064392
train acc: 0.39800000190734863
train loss: 1.7107471227645874
train acc: 0.4281376600265503


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  65%|██████▍   | 2591/4000 [1:04:37<40:50,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  65%|██████▍   | 2592/4000 [1:04:39<38:59,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  65%|██████▍   | 2593/4000 [1:04:40<37:39,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  65%|██████▍   | 2594/4000 [1:04:42<36:35,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  65%|██████▍   | 2595/4000 [1:04:43<35:57,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  65%|██████▍   | 2596/4000 [1:04:44<35:28,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  65%|██████▍   | 2597/4000 [1:04:46<35:11,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  65%|██████▍   | 2598/4000 [1:04:47<35:07,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  65%|██████▍   | 2599/4000 [1:04:49<34:57,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  65%|██████▌   | 2600/4000 [1:04:50<34:55,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  65%|██████▌   | 2601/4000 [1:04:52<34:47,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  65%|██████▌   | 2602/4000 [1:04:53<34:48,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  65%|██████▌   | 2603/4000 [1:04:55<34:55,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.50s/it]
overall:  65%|██████▌   | 2604/4000 [1:04:56<34:49,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  65%|██████▌   | 2605/4000 [1:04:58<34:45,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  65%|██████▌   | 2606/4000 [1:04:59<34:37,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  65%|██████▌   | 2607/4000 [1:05:01<34:33,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  65%|██████▌   | 2608/4000 [1:05:02<34:28,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  65%|██████▌   | 2609/4000 [1:05:04<34:24,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  65%|██████▌   | 2610/4000 [1:05:05<34:31,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  65%|██████▌   | 2611/4000 [1:05:07<34:30,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:  65%|██████▌   | 2612/4000 [1:05:08<34:25,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  65%|██████▌   | 2613/4000 [1:05:10<34:28,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:  65%|██████▌   | 2614/4000 [1:05:11<34:22,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  65%|██████▌   | 2615/4000 [1:05:13<34:25,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.49s/it]
overall:  65%|██████▌   | 2616/4000 [1:05:14<34:25,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  65%|██████▌   | 2617/4000 [1:05:16<34:20,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  65%|██████▌   | 2618/4000 [1:05:17<34:14,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  65%|██████▌   | 2619/4000 [1:05:19<34:18,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  66%|██████▌   | 2620/4000 [1:05:20<34:18,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  66%|██████▌   | 2621/4000 [1:05:22<34:14,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  66%|██████▌   | 2622/4000 [1:05:23<34:08,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  66%|██████▌   | 2623/4000 [1:05:25<34:12,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  66%|██████▌   | 2624/4000 [1:05:26<34:06,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  66%|██████▌   | 2625/4000 [1:05:28<34:01,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  66%|██████▌   | 2626/4000 [1:05:29<34:03,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  66%|██████▌   | 2627/4000 [1:05:30<32:49,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.7072017192840576
train acc: 0.4189999997615814
train loss: 1.7328224182128906
train acc: 0.46299999952316284
train loss: 1.7432044744491577
train acc: 0.4059999883174896


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  66%|██████▌   | 2628/4000 [1:05:33<38:49,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  66%|██████▌   | 2629/4000 [1:05:34<37:15,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.77s/it]
overall:  66%|██████▌   | 2630/4000 [1:05:36<36:11,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  66%|██████▌   | 2631/4000 [1:05:37<35:37,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  66%|██████▌   | 2632/4000 [1:05:39<35:10,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  66%|██████▌   | 2633/4000 [1:05:40<34:43,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  66%|██████▌   | 2634/4000 [1:05:42<34:32,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  66%|██████▌   | 2635/4000 [1:05:43<34:15,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  66%|██████▌   | 2636/4000 [1:05:45<34:02,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  66%|██████▌   | 2637/4000 [1:05:46<33:53,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  66%|██████▌   | 2638/4000 [1:05:48<33:47,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  66%|██████▌   | 2639/4000 [1:05:49<33:46,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  66%|██████▌   | 2640/4000 [1:05:51<33:50,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  66%|██████▌   | 2641/4000 [1:05:52<33:43,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  66%|██████▌   | 2642/4000 [1:05:54<33:38,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  66%|██████▌   | 2643/4000 [1:05:55<33:43,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  66%|██████▌   | 2644/4000 [1:05:57<33:47,  1.50s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.50s/it]
overall:  66%|██████▌   | 2645/4000 [1:05:58<33:38,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  66%|██████▌   | 2646/4000 [1:06:00<33:33,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  66%|██████▌   | 2647/4000 [1:06:01<33:38,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  66%|██████▌   | 2648/4000 [1:06:03<33:43,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.50s/it]
overall:  66%|██████▌   | 2649/4000 [1:06:04<33:37,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  66%|██████▋   | 2650/4000 [1:06:06<33:31,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  66%|██████▋   | 2651/4000 [1:06:07<33:25,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  66%|██████▋   | 2652/4000 [1:06:09<33:28,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  66%|██████▋   | 2653/4000 [1:06:10<33:28,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  66%|██████▋   | 2654/4000 [1:06:11<33:22,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  66%|██████▋   | 2655/4000 [1:06:13<33:25,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  66%|██████▋   | 2656/4000 [1:06:14<33:22,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  66%|██████▋   | 2657/4000 [1:06:16<33:16,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  66%|██████▋   | 2658/4000 [1:06:17<33:17,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  66%|██████▋   | 2659/4000 [1:06:19<33:13,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  66%|██████▋   | 2660/4000 [1:06:20<33:10,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  67%|██████▋   | 2661/4000 [1:06:22<33:06,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  67%|██████▋   | 2662/4000 [1:06:23<33:09,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  67%|██████▋   | 2663/4000 [1:06:25<33:05,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  67%|██████▋   | 2664/4000 [1:06:26<31:44,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7607396841049194
train acc: 0.39170041680336
train loss: 1.7156260013580322
train acc: 0.41100001335144043
train loss: 1.7629247903823853
train acc: 0.41600000858306885
train loss: 1.7269599437713623
train acc: 0.4359999895095825


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  67%|██████▋   | 2665/4000 [1:06:29<37:54,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  67%|██████▋   | 2666/4000 [1:06:30<36:23,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  67%|██████▋   | 2667/4000 [1:06:31<35:21,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  67%|██████▋   | 2668/4000 [1:06:33<34:32,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  67%|██████▋   | 2669/4000 [1:06:34<34:00,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  67%|██████▋   | 2670/4000 [1:06:36<33:38,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  67%|██████▋   | 2671/4000 [1:06:37<33:21,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  67%|██████▋   | 2672/4000 [1:06:39<33:09,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  67%|██████▋   | 2673/4000 [1:06:40<33:05,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  67%|██████▋   | 2674/4000 [1:06:42<33:01,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  67%|██████▋   | 2675/4000 [1:06:43<32:58,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  67%|██████▋   | 2676/4000 [1:06:45<32:52,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  67%|██████▋   | 2677/4000 [1:06:46<33:11,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  67%|██████▋   | 2678/4000 [1:06:48<32:59,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  67%|██████▋   | 2679/4000 [1:06:49<32:50,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  67%|██████▋   | 2680/4000 [1:06:51<32:44,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  67%|██████▋   | 2681/4000 [1:06:52<32:39,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  67%|██████▋   | 2682/4000 [1:06:54<32:35,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  67%|██████▋   | 2683/4000 [1:06:55<32:37,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  67%|██████▋   | 2684/4000 [1:06:57<32:32,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  67%|██████▋   | 2685/4000 [1:06:58<32:31,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  67%|██████▋   | 2686/4000 [1:07:00<32:30,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  67%|██████▋   | 2687/4000 [1:07:01<32:32,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  67%|██████▋   | 2688/4000 [1:07:03<32:28,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  67%|██████▋   | 2689/4000 [1:07:04<32:40,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.50s/it]
overall:  67%|██████▋   | 2690/4000 [1:07:06<32:39,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  67%|██████▋   | 2691/4000 [1:07:07<32:34,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  67%|██████▋   | 2692/4000 [1:07:09<32:27,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  67%|██████▋   | 2693/4000 [1:07:10<32:22,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  67%|██████▋   | 2694/4000 [1:07:12<32:26,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  67%|██████▋   | 2695/4000 [1:07:13<32:25,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  67%|██████▋   | 2696/4000 [1:07:15<32:23,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  67%|██████▋   | 2697/4000 [1:07:16<32:22,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  67%|██████▋   | 2698/4000 [1:07:18<32:20,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  67%|██████▋   | 2699/4000 [1:07:19<32:18,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  68%|██████▊   | 2700/4000 [1:07:21<32:16,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  68%|██████▊   | 2701/4000 [1:07:22<30:57,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.7169615030288696
train acc: 0.438259094953537
train loss: 1.71938955783844
train acc: 0.4099999964237213
train loss: 1.7656633853912354
train acc: 0.39800000190734863
train loss: 1.730691909790039
train acc: 0.41499999165534973


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  68%|██████▊   | 2702/4000 [1:07:24<36:43,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  68%|██████▊   | 2703/4000 [1:07:26<35:10,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  68%|██████▊   | 2704/4000 [1:07:27<34:03,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.62s/it]
overall:  68%|██████▊   | 2705/4000 [1:07:29<33:14,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  68%|██████▊   | 2706/4000 [1:07:30<32:36,  1.51s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.52s/it]
overall:  68%|██████▊   | 2707/4000 [1:07:32<32:27,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  68%|██████▊   | 2708/4000 [1:07:33<32:15,  1.50s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.50s/it]
overall:  68%|██████▊   | 2709/4000 [1:07:34<32:09,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  68%|██████▊   | 2710/4000 [1:07:36<32:07,  1.49s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.49s/it]
overall:  68%|██████▊   | 2711/4000 [1:07:37<32:00,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  68%|██████▊   | 2712/4000 [1:07:39<31:56,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  68%|██████▊   | 2713/4000 [1:07:40<31:51,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  68%|██████▊   | 2714/4000 [1:07:42<31:59,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  68%|██████▊   | 2715/4000 [1:07:43<31:57,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  68%|██████▊   | 2716/4000 [1:07:45<31:50,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  68%|██████▊   | 2717/4000 [1:07:46<31:51,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  68%|██████▊   | 2718/4000 [1:07:48<31:45,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  68%|██████▊   | 2719/4000 [1:07:49<31:44,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  68%|██████▊   | 2720/4000 [1:07:51<31:40,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  68%|██████▊   | 2721/4000 [1:07:52<31:36,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  68%|██████▊   | 2722/4000 [1:07:54<31:39,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  68%|██████▊   | 2723/4000 [1:07:55<31:37,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  68%|██████▊   | 2724/4000 [1:07:57<31:39,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  68%|██████▊   | 2725/4000 [1:07:58<31:41,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  68%|██████▊   | 2726/4000 [1:08:00<31:46,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.50s/it]
overall:  68%|██████▊   | 2727/4000 [1:08:01<31:45,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  68%|██████▊   | 2728/4000 [1:08:03<31:37,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  68%|██████▊   | 2729/4000 [1:08:04<31:36,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  68%|██████▊   | 2730/4000 [1:08:06<31:33,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  68%|██████▊   | 2731/4000 [1:08:07<31:27,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  68%|██████▊   | 2732/4000 [1:08:09<31:30,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  68%|██████▊   | 2733/4000 [1:08:10<31:29,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  68%|██████▊   | 2734/4000 [1:08:12<31:30,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  68%|██████▊   | 2735/4000 [1:08:13<31:30,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  68%|██████▊   | 2736/4000 [1:08:15<31:26,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  68%|██████▊   | 2737/4000 [1:08:16<31:20,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  68%|██████▊   | 2738/4000 [1:08:17<30:05,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7216284275054932
train acc: 0.4301619529724121
train loss: 1.7681162357330322
train acc: 0.40799999237060547
train loss: 1.7487452030181885
train acc: 0.4059999883174896


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  68%|██████▊   | 2739/4000 [1:08:20<36:40,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  68%|██████▊   | 2740/4000 [1:08:21<35:01,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  69%|██████▊   | 2741/4000 [1:08:23<33:47,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  69%|██████▊   | 2742/4000 [1:08:24<32:55,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  69%|██████▊   | 2743/4000 [1:08:26<32:19,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  69%|██████▊   | 2744/4000 [1:08:27<31:48,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  69%|██████▊   | 2745/4000 [1:08:29<31:30,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  69%|██████▊   | 2746/4000 [1:08:30<31:25,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  69%|██████▊   | 2747/4000 [1:08:32<31:14,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  69%|██████▊   | 2748/4000 [1:08:33<31:06,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  69%|██████▊   | 2749/4000 [1:08:35<31:01,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  69%|██████▉   | 2750/4000 [1:08:36<30:55,  1.48s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.48s/it]
overall:  69%|██████▉   | 2751/4000 [1:08:38<31:02,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  69%|██████▉   | 2752/4000 [1:08:39<30:55,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  69%|██████▉   | 2753/4000 [1:08:41<30:50,  1.48s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.48s/it]
overall:  69%|██████▉   | 2754/4000 [1:08:42<30:47,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  69%|██████▉   | 2755/4000 [1:08:44<30:46,  1.48s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.48s/it]
overall:  69%|██████▉   | 2756/4000 [1:08:45<30:43,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  69%|██████▉   | 2757/4000 [1:08:47<30:39,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  69%|██████▉   | 2758/4000 [1:08:48<30:37,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  69%|██████▉   | 2759/4000 [1:08:50<30:38,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  69%|██████▉   | 2760/4000 [1:08:51<30:34,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  69%|██████▉   | 2761/4000 [1:08:53<30:42,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  69%|██████▉   | 2762/4000 [1:08:54<30:43,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  69%|██████▉   | 2763/4000 [1:08:56<30:45,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  69%|██████▉   | 2764/4000 [1:08:57<30:39,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  69%|██████▉   | 2765/4000 [1:08:59<30:36,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  69%|██████▉   | 2766/4000 [1:09:00<30:30,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  69%|██████▉   | 2767/4000 [1:09:01<30:29,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  69%|██████▉   | 2768/4000 [1:09:03<30:24,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  69%|██████▉   | 2769/4000 [1:09:04<30:25,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  69%|██████▉   | 2770/4000 [1:09:06<30:26,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  69%|██████▉   | 2771/4000 [1:09:07<30:25,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  69%|██████▉   | 2772/4000 [1:09:09<30:21,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  69%|██████▉   | 2773/4000 [1:09:10<30:26,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  69%|██████▉   | 2774/4000 [1:09:12<30:20,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  69%|██████▉   | 2775/4000 [1:09:13<29:02,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.6753736734390259
train acc: 0.45951417088508606
train loss: 1.70339035987854
train acc: 0.44200000166893005
train loss: 1.7460858821868896
train acc: 0.40700000524520874
train loss: 1.7439606189727783
train acc: 0.41999998688697815


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  69%|██████▉   | 2776/4000 [1:09:15<34:17,  1.68s/it]

train:   3%|▎         | 1/37 [00:02<01:17,  2.16s/it]
overall:  69%|██████▉   | 2777/4000 [1:09:17<32:57,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.75s/it]
overall:  69%|██████▉   | 2778/4000 [1:09:18<32:08,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  69%|██████▉   | 2779/4000 [1:09:20<31:32,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  70%|██████▉   | 2780/4000 [1:09:21<31:05,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  70%|██████▉   | 2781/4000 [1:09:23<30:45,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  70%|██████▉   | 2782/4000 [1:09:24<30:31,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  70%|██████▉   | 2783/4000 [1:09:26<30:27,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  70%|██████▉   | 2784/4000 [1:09:27<30:17,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  70%|██████▉   | 2785/4000 [1:09:29<30:11,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  70%|██████▉   | 2786/4000 [1:09:30<30:08,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  70%|██████▉   | 2787/4000 [1:09:32<30:05,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  70%|██████▉   | 2788/4000 [1:09:33<30:01,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  70%|██████▉   | 2789/4000 [1:09:35<29:53,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.48s/it]
overall:  70%|██████▉   | 2790/4000 [1:09:36<29:51,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  70%|██████▉   | 2791/4000 [1:09:38<29:49,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  70%|██████▉   | 2792/4000 [1:09:39<29:46,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  70%|██████▉   | 2793/4000 [1:09:41<29:44,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  70%|██████▉   | 2794/4000 [1:09:42<29:43,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  70%|██████▉   | 2795/4000 [1:09:44<29:44,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  70%|██████▉   | 2796/4000 [1:09:45<29:40,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  70%|██████▉   | 2797/4000 [1:09:47<29:39,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  70%|██████▉   | 2798/4000 [1:09:48<29:37,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  70%|██████▉   | 2799/4000 [1:09:49<29:41,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  70%|███████   | 2800/4000 [1:09:51<29:39,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  70%|███████   | 2801/4000 [1:09:52<29:37,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  70%|███████   | 2802/4000 [1:09:54<29:35,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  70%|███████   | 2803/4000 [1:09:55<29:34,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  70%|███████   | 2804/4000 [1:09:57<29:30,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  70%|███████   | 2805/4000 [1:09:58<29:28,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  70%|███████   | 2806/4000 [1:10:00<29:33,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  70%|███████   | 2807/4000 [1:10:01<29:37,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  70%|███████   | 2808/4000 [1:10:03<29:39,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  70%|███████   | 2809/4000 [1:10:04<29:39,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  70%|███████   | 2810/4000 [1:10:06<29:34,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  70%|███████   | 2811/4000 [1:10:07<29:35,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  70%|███████   | 2812/4000 [1:10:09<28:22,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7277038097381592
train acc: 0.40789473056793213
train loss: 1.7256883382797241
train acc: 0.4090000092983246
train loss: 1.7280232906341553
train acc: 0.42899999022483826
train loss: 1.7217868566513062
train acc: 0.4339999854564667


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  70%|███████   | 2813/4000 [1:10:11<34:36,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.36s/it]
overall:  70%|███████   | 2814/4000 [1:10:13<32:59,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  70%|███████   | 2815/4000 [1:10:14<31:49,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  70%|███████   | 2816/4000 [1:10:16<31:00,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  70%|███████   | 2817/4000 [1:10:17<30:26,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  70%|███████   | 2818/4000 [1:10:19<30:09,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  70%|███████   | 2819/4000 [1:10:20<29:49,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  70%|███████   | 2820/4000 [1:10:21<29:36,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  71%|███████   | 2821/4000 [1:10:23<29:30,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  71%|███████   | 2822/4000 [1:10:24<29:21,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  71%|███████   | 2823/4000 [1:10:26<29:15,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  71%|███████   | 2824/4000 [1:10:27<29:10,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  71%|███████   | 2825/4000 [1:10:29<29:12,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  71%|███████   | 2826/4000 [1:10:30<29:07,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  71%|███████   | 2827/4000 [1:10:32<29:07,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  71%|███████   | 2828/4000 [1:10:33<29:04,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  71%|███████   | 2829/4000 [1:10:35<28:59,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  71%|███████   | 2830/4000 [1:10:36<28:55,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  71%|███████   | 2831/4000 [1:10:38<28:52,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  71%|███████   | 2832/4000 [1:10:39<28:50,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  71%|███████   | 2833/4000 [1:10:41<28:53,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:  71%|███████   | 2834/4000 [1:10:42<28:51,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  71%|███████   | 2835/4000 [1:10:44<28:54,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:  71%|███████   | 2836/4000 [1:10:45<28:50,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  71%|███████   | 2837/4000 [1:10:47<28:57,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.49s/it]
overall:  71%|███████   | 2838/4000 [1:10:48<28:54,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  71%|███████   | 2839/4000 [1:10:50<28:47,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  71%|███████   | 2840/4000 [1:10:51<28:49,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  71%|███████   | 2841/4000 [1:10:53<28:45,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  71%|███████   | 2842/4000 [1:10:54<28:40,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  71%|███████   | 2843/4000 [1:10:56<28:37,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  71%|███████   | 2844/4000 [1:10:57<28:36,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  71%|███████   | 2845/4000 [1:10:59<28:37,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  71%|███████   | 2846/4000 [1:11:00<28:33,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  71%|███████   | 2847/4000 [1:11:02<28:29,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  71%|███████   | 2848/4000 [1:11:03<28:31,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  71%|███████   | 2849/4000 [1:11:04<27:25,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.75350821018219
train acc: 0.38866397738456726
train loss: 1.7623605728149414
train acc: 0.4269999861717224
train loss: 1.7187235355377197
train acc: 0.414000004529953


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  71%|███████▏  | 2850/4000 [1:11:07<32:52,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.23s/it]
overall:  71%|███████▏  | 2851/4000 [1:11:08<31:30,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  71%|███████▏  | 2852/4000 [1:11:10<30:32,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  71%|███████▏  | 2853/4000 [1:11:11<30:02,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  71%|███████▏  | 2854/4000 [1:11:13<29:30,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  71%|███████▏  | 2855/4000 [1:11:14<29:06,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  71%|███████▏  | 2856/4000 [1:11:16<28:50,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  71%|███████▏  | 2857/4000 [1:11:17<28:41,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  71%|███████▏  | 2858/4000 [1:11:19<28:32,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  71%|███████▏  | 2859/4000 [1:11:20<28:30,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  72%|███████▏  | 2860/4000 [1:11:22<28:28,  1.50s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.50s/it]
overall:  72%|███████▏  | 2861/4000 [1:11:23<28:27,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  72%|███████▏  | 2862/4000 [1:11:25<28:33,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  72%|███████▏  | 2863/4000 [1:11:26<28:24,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  72%|███████▏  | 2864/4000 [1:11:28<28:17,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  72%|███████▏  | 2865/4000 [1:11:29<28:14,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  72%|███████▏  | 2866/4000 [1:11:31<28:10,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  72%|███████▏  | 2867/4000 [1:11:32<28:05,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  72%|███████▏  | 2868/4000 [1:11:34<28:06,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.49s/it]
overall:  72%|███████▏  | 2869/4000 [1:11:35<28:03,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  72%|███████▏  | 2870/4000 [1:11:37<27:59,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:  72%|███████▏  | 2871/4000 [1:11:38<27:54,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  72%|███████▏  | 2872/4000 [1:11:40<27:52,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  72%|███████▏  | 2873/4000 [1:11:41<27:49,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  72%|███████▏  | 2874/4000 [1:11:43<28:01,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  72%|███████▏  | 2875/4000 [1:11:44<27:56,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  72%|███████▏  | 2876/4000 [1:11:46<27:54,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  72%|███████▏  | 2877/4000 [1:11:47<27:51,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  72%|███████▏  | 2878/4000 [1:11:48<27:47,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  72%|███████▏  | 2879/4000 [1:11:50<27:48,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  72%|███████▏  | 2880/4000 [1:11:51<27:52,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  72%|███████▏  | 2881/4000 [1:11:53<27:50,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  72%|███████▏  | 2882/4000 [1:11:54<27:47,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  72%|███████▏  | 2883/4000 [1:11:56<27:41,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  72%|███████▏  | 2884/4000 [1:11:57<27:37,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  72%|███████▏  | 2885/4000 [1:11:59<27:40,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  72%|███████▏  | 2886/4000 [1:12:00<26:33,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.6851484775543213
train acc: 0.46052631735801697
train loss: 1.7261126041412354
train acc: 0.41600000858306885
train loss: 1.7093756198883057
train acc: 0.40799999237060547
train loss: 1.7034587860107422
train acc: 0.42800000309944153


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  72%|███████▏  | 2887/4000 [1:12:03<32:30,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.36s/it]
overall:  72%|███████▏  | 2888/4000 [1:12:04<30:51,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  72%|███████▏  | 2889/4000 [1:12:06<29:46,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  72%|███████▏  | 2890/4000 [1:12:07<29:03,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  72%|███████▏  | 2891/4000 [1:12:09<28:37,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  72%|███████▏  | 2892/4000 [1:12:10<28:17,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  72%|███████▏  | 2893/4000 [1:12:12<28:00,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  72%|███████▏  | 2894/4000 [1:12:13<27:51,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  72%|███████▏  | 2895/4000 [1:12:15<27:41,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  72%|███████▏  | 2896/4000 [1:12:16<27:38,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  72%|███████▏  | 2897/4000 [1:12:18<27:40,  1.51s/it]

train:  30%|██▉       | 11/37 [00:17<00:39,  1.51s/it]
overall:  72%|███████▏  | 2898/4000 [1:12:19<27:33,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  72%|███████▏  | 2899/4000 [1:12:21<27:29,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.50s/it]
overall:  72%|███████▎  | 2900/4000 [1:12:22<27:28,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  73%|███████▎  | 2901/4000 [1:12:24<27:21,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  73%|███████▎  | 2902/4000 [1:12:25<27:29,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  73%|███████▎  | 2903/4000 [1:12:27<27:20,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.50s/it]
overall:  73%|███████▎  | 2904/4000 [1:12:28<27:13,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  73%|███████▎  | 2905/4000 [1:12:30<27:08,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.49s/it]
overall:  73%|███████▎  | 2906/4000 [1:12:31<27:04,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  73%|███████▎  | 2907/4000 [1:12:33<27:07,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:  73%|███████▎  | 2908/4000 [1:12:34<27:08,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  73%|███████▎  | 2909/4000 [1:12:35<27:04,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:  73%|███████▎  | 2910/4000 [1:12:37<27:01,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  73%|███████▎  | 2911/4000 [1:12:38<27:00,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.49s/it]
overall:  73%|███████▎  | 2912/4000 [1:12:40<27:04,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  73%|███████▎  | 2913/4000 [1:12:41<26:58,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:41<00:14,  1.49s/it]
overall:  73%|███████▎  | 2914/4000 [1:12:43<27:00,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  73%|███████▎  | 2915/4000 [1:12:44<26:59,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:44<00:11,  1.49s/it]
overall:  73%|███████▎  | 2916/4000 [1:12:46<26:55,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  73%|███████▎  | 2917/4000 [1:12:47<26:54,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.49s/it]
overall:  73%|███████▎  | 2918/4000 [1:12:49<26:56,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  73%|███████▎  | 2919/4000 [1:12:50<26:52,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.49s/it]
overall:  73%|███████▎  | 2920/4000 [1:12:52<26:46,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  73%|███████▎  | 2921/4000 [1:12:53<26:43,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.49s/it]
overall:  73%|███████▎  | 2922/4000 [1:12:55<26:43,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  73%|███████▎  | 2923/4000 [1:12:56<25:38,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.7661969661712646
train acc: 0.40890687704086304
train loss: 1.7150176763534546
train acc: 0.41999998688697815
train loss: 1.714289665222168
train acc: 0.421999990940094
train loss: 1.7374680042266846
train acc: 0.4320000112056732


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  73%|███████▎  | 2924/4000 [1:12:58<30:22,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  73%|███████▎  | 2925/4000 [1:13:00<29:05,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  73%|███████▎  | 2926/4000 [1:13:01<28:12,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.62s/it]
overall:  73%|███████▎  | 2927/4000 [1:13:03<27:32,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  73%|███████▎  | 2928/4000 [1:13:04<27:10,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  73%|███████▎  | 2929/4000 [1:13:06<26:56,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  73%|███████▎  | 2930/4000 [1:13:07<26:43,  1.50s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.50s/it]
overall:  73%|███████▎  | 2931/4000 [1:13:09<26:31,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  73%|███████▎  | 2932/4000 [1:13:10<26:33,  1.49s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.49s/it]
overall:  73%|███████▎  | 2933/4000 [1:13:12<26:27,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  73%|███████▎  | 2934/4000 [1:13:13<26:23,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  73%|███████▎  | 2935/4000 [1:13:15<26:22,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  73%|███████▎  | 2936/4000 [1:13:16<26:28,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  73%|███████▎  | 2937/4000 [1:13:18<26:24,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  73%|███████▎  | 2938/4000 [1:13:19<26:19,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  73%|███████▎  | 2939/4000 [1:13:21<26:15,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  74%|███████▎  | 2940/4000 [1:13:22<26:17,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  74%|███████▎  | 2941/4000 [1:13:24<26:19,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  74%|███████▎  | 2942/4000 [1:13:25<26:15,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  74%|███████▎  | 2943/4000 [1:13:27<26:10,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  74%|███████▎  | 2944/4000 [1:13:28<26:12,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  74%|███████▎  | 2945/4000 [1:13:30<26:09,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  74%|███████▎  | 2946/4000 [1:13:31<26:05,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  74%|███████▎  | 2947/4000 [1:13:33<26:00,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  74%|███████▎  | 2948/4000 [1:13:34<26:03,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  74%|███████▎  | 2949/4000 [1:13:36<26:06,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  74%|███████▍  | 2950/4000 [1:13:37<26:01,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  74%|███████▍  | 2951/4000 [1:13:38<25:57,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  74%|███████▍  | 2952/4000 [1:13:40<25:56,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  74%|███████▍  | 2953/4000 [1:13:41<25:51,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  74%|███████▍  | 2954/4000 [1:13:43<25:50,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  74%|███████▍  | 2955/4000 [1:13:44<25:48,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  74%|███████▍  | 2956/4000 [1:13:46<25:52,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  74%|███████▍  | 2957/4000 [1:13:47<25:53,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  74%|███████▍  | 2958/4000 [1:13:49<25:48,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  74%|███████▍  | 2959/4000 [1:13:50<25:45,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  74%|███████▍  | 2960/4000 [1:13:52<24:40,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7216325998306274
train acc: 0.449392706155777
train loss: 1.7182897329330444
train acc: 0.4129999876022339
train loss: 1.7656774520874023
train acc: 0.4099999964237213
train loss: 1.6986005306243896
train acc: 0.41093116998672485


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  74%|███████▍  | 2961/4000 [1:13:54<29:11,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:17,  2.17s/it]
overall:  74%|███████▍  | 2962/4000 [1:13:55<28:10,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.77s/it]
overall:  74%|███████▍  | 2963/4000 [1:13:57<27:24,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  74%|███████▍  | 2964/4000 [1:13:58<26:54,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  74%|███████▍  | 2965/4000 [1:14:00<26:29,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  74%|███████▍  | 2966/4000 [1:14:01<26:16,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  74%|███████▍  | 2967/4000 [1:14:03<26:00,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  74%|███████▍  | 2968/4000 [1:14:04<25:49,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  74%|███████▍  | 2969/4000 [1:14:06<25:42,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  74%|███████▍  | 2970/4000 [1:14:07<25:36,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  74%|███████▍  | 2971/4000 [1:14:09<25:30,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  74%|███████▍  | 2972/4000 [1:14:10<25:26,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  74%|███████▍  | 2973/4000 [1:14:12<25:29,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  74%|███████▍  | 2974/4000 [1:14:13<25:25,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  74%|███████▍  | 2975/4000 [1:14:15<25:26,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  74%|███████▍  | 2976/4000 [1:14:16<25:23,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  74%|███████▍  | 2977/4000 [1:14:18<25:19,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  74%|███████▍  | 2978/4000 [1:14:19<25:15,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  74%|███████▍  | 2979/4000 [1:14:21<25:12,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  74%|███████▍  | 2980/4000 [1:14:22<25:12,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  75%|███████▍  | 2981/4000 [1:14:24<25:09,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  75%|███████▍  | 2982/4000 [1:14:25<25:07,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  75%|███████▍  | 2983/4000 [1:14:27<25:06,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  75%|███████▍  | 2984/4000 [1:14:28<25:07,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  75%|███████▍  | 2985/4000 [1:14:30<25:11,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  75%|███████▍  | 2986/4000 [1:14:31<25:14,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  75%|███████▍  | 2987/4000 [1:14:33<25:13,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  75%|███████▍  | 2988/4000 [1:14:34<25:14,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  75%|███████▍  | 2989/4000 [1:14:36<25:08,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  75%|███████▍  | 2990/4000 [1:14:37<25:07,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  75%|███████▍  | 2991/4000 [1:14:39<25:09,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.50s/it]
overall:  75%|███████▍  | 2992/4000 [1:14:40<25:10,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  75%|███████▍  | 2993/4000 [1:14:42<25:03,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  75%|███████▍  | 2994/4000 [1:14:43<25:00,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  75%|███████▍  | 2995/4000 [1:14:45<24:56,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  75%|███████▍  | 2996/4000 [1:14:46<24:57,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  75%|███████▍  | 2997/4000 [1:14:47<23:58,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.690765619277954
train acc: 0.4410000145435333
train loss: 1.72933030128479
train acc: 0.4410000145435333
train loss: 1.759598731994629
train acc: 0.39500001072883606


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  75%|███████▍  | 2998/4000 [1:14:50<29:06,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  75%|███████▍  | 2999/4000 [1:14:51<27:49,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  75%|███████▌  | 3000/4000 [1:14:53<26:53,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  75%|███████▌  | 3001/4000 [1:14:54<26:11,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  75%|███████▌  | 3002/4000 [1:14:56<25:48,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  75%|███████▌  | 3003/4000 [1:14:57<25:25,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  75%|███████▌  | 3004/4000 [1:14:59<25:09,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  75%|███████▌  | 3005/4000 [1:15:00<24:56,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  75%|███████▌  | 3006/4000 [1:15:02<24:47,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  75%|███████▌  | 3007/4000 [1:15:03<24:41,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  75%|███████▌  | 3008/4000 [1:15:05<24:40,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  75%|███████▌  | 3009/4000 [1:15:06<24:35,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  75%|███████▌  | 3010/4000 [1:15:08<24:38,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  75%|███████▌  | 3011/4000 [1:15:09<24:31,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  75%|███████▌  | 3012/4000 [1:15:11<24:29,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  75%|███████▌  | 3013/4000 [1:15:12<24:25,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  75%|███████▌  | 3014/4000 [1:15:14<24:22,  1.48s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.48s/it]
overall:  75%|███████▌  | 3015/4000 [1:15:15<24:19,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  75%|███████▌  | 3016/4000 [1:15:17<24:18,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  75%|███████▌  | 3017/4000 [1:15:18<24:16,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  75%|███████▌  | 3018/4000 [1:15:19<24:15,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.48s/it]
overall:  75%|███████▌  | 3019/4000 [1:15:21<24:10,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  76%|███████▌  | 3020/4000 [1:15:22<24:10,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  76%|███████▌  | 3021/4000 [1:15:24<24:07,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  76%|███████▌  | 3022/4000 [1:15:25<24:16,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  76%|███████▌  | 3023/4000 [1:15:27<24:08,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  76%|███████▌  | 3024/4000 [1:15:28<24:05,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  76%|███████▌  | 3025/4000 [1:15:30<24:03,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  76%|███████▌  | 3026/4000 [1:15:31<24:01,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  76%|███████▌  | 3027/4000 [1:15:33<23:58,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  76%|███████▌  | 3028/4000 [1:15:34<23:53,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  76%|███████▌  | 3029/4000 [1:15:36<23:52,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  76%|███████▌  | 3030/4000 [1:15:37<23:51,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  76%|███████▌  | 3031/4000 [1:15:39<23:53,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  76%|███████▌  | 3032/4000 [1:15:40<23:50,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  76%|███████▌  | 3033/4000 [1:15:42<23:47,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  76%|███████▌  | 3034/4000 [1:15:43<22:49,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.700582504272461
train acc: 0.4159919023513794
train loss: 1.7319822311401367
train acc: 0.4440000057220459
train loss: 1.7309926748275757
train acc: 0.41100001335144043
train loss: 1.704687476158142
train acc: 0.4300000071525574


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  76%|███████▌  | 3035/4000 [1:15:45<27:33,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.28s/it]
overall:  76%|███████▌  | 3036/4000 [1:15:47<26:24,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  76%|███████▌  | 3037/4000 [1:15:48<25:40,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  76%|███████▌  | 3038/4000 [1:15:50<25:04,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  76%|███████▌  | 3039/4000 [1:15:51<24:38,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  76%|███████▌  | 3040/4000 [1:15:53<24:20,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  76%|███████▌  | 3041/4000 [1:15:54<24:06,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  76%|███████▌  | 3042/4000 [1:15:56<23:57,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  76%|███████▌  | 3043/4000 [1:15:57<23:53,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  76%|███████▌  | 3044/4000 [1:15:59<23:52,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  76%|███████▌  | 3045/4000 [1:16:00<23:47,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.50s/it]
overall:  76%|███████▌  | 3046/4000 [1:16:02<23:45,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  76%|███████▌  | 3047/4000 [1:16:03<23:45,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.50s/it]
overall:  76%|███████▌  | 3048/4000 [1:16:05<23:45,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  76%|███████▌  | 3049/4000 [1:16:06<23:46,  1.50s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.50s/it]
overall:  76%|███████▋  | 3050/4000 [1:16:08<23:43,  1.50s/it]

train:  43%|████▎     | 16/37 [00:25<00:34,  1.66s/it]
overall:  76%|███████▋  | 3051/4000 [1:16:10<26:13,  1.66s/it]

train:  46%|████▌     | 17/37 [00:26<00:32,  1.61s/it]
overall:  76%|███████▋  | 3052/4000 [1:16:11<25:24,  1.61s/it]

train:  49%|████▊     | 18/37 [00:28<00:29,  1.57s/it]
overall:  76%|███████▋  | 3053/4000 [1:16:13<24:50,  1.57s/it]

train:  51%|█████▏    | 19/37 [00:29<00:27,  1.55s/it]
overall:  76%|███████▋  | 3054/4000 [1:16:14<24:23,  1.55s/it]

train:  54%|█████▍    | 20/37 [00:31<00:26,  1.53s/it]
overall:  76%|███████▋  | 3055/4000 [1:16:16<24:06,  1.53s/it]

train:  57%|█████▋    | 21/37 [00:32<00:24,  1.52s/it]
overall:  76%|███████▋  | 3056/4000 [1:16:17<23:52,  1.52s/it]

train:  59%|█████▉    | 22/37 [00:34<00:22,  1.51s/it]
overall:  76%|███████▋  | 3057/4000 [1:16:19<23:40,  1.51s/it]

train:  62%|██████▏   | 23/37 [00:35<00:21,  1.50s/it]
overall:  76%|███████▋  | 3058/4000 [1:16:20<23:32,  1.50s/it]

train:  65%|██████▍   | 24/37 [00:37<00:19,  1.49s/it]
overall:  76%|███████▋  | 3059/4000 [1:16:22<23:34,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:18,  1.50s/it]
overall:  76%|███████▋  | 3060/4000 [1:16:23<23:33,  1.50s/it]

train:  70%|███████   | 26/37 [00:40<00:16,  1.50s/it]
overall:  77%|███████▋  | 3061/4000 [1:16:25<23:30,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:15,  1.50s/it]
overall:  77%|███████▋  | 3062/4000 [1:16:26<23:27,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:43<00:13,  1.50s/it]
overall:  77%|███████▋  | 3063/4000 [1:16:28<23:23,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:11,  1.50s/it]
overall:  77%|███████▋  | 3064/4000 [1:16:29<23:20,  1.50s/it]

train:  81%|████████  | 30/37 [00:46<00:10,  1.50s/it]
overall:  77%|███████▋  | 3065/4000 [1:16:31<23:18,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.50s/it]
overall:  77%|███████▋  | 3066/4000 [1:16:32<23:13,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:49<00:07,  1.49s/it]
overall:  77%|███████▋  | 3067/4000 [1:16:34<23:13,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.49s/it]
overall:  77%|███████▋  | 3068/4000 [1:16:35<23:12,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:52<00:04,  1.49s/it]
overall:  77%|███████▋  | 3069/4000 [1:16:37<23:09,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.49s/it]
overall:  77%|███████▋  | 3070/4000 [1:16:38<23:09,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:55<00:01,  1.49s/it]
overall:  77%|███████▋  | 3071/4000 [1:16:39<22:12,  1.43s/it]

train: 100%|██████████| 37/37 [00:56<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.53s/it]
train loss: 1.744519829750061
train acc: 0.4018218517303467
train loss: 1.7599856853485107
train acc: 0.40400001406669617
train loss: 1.688702940940857
train acc: 0.4350000023841858
train loss: 1.7040109634399414
train acc: 0.4359999895095825


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  77%|███████▋  | 3072/4000 [1:16:42<27:02,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  77%|███████▋  | 3073/4000 [1:16:43<25:46,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  77%|███████▋  | 3074/4000 [1:16:45<24:52,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  77%|███████▋  | 3075/4000 [1:16:46<24:19,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  77%|███████▋  | 3076/4000 [1:16:48<23:54,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  77%|███████▋  | 3077/4000 [1:16:49<23:34,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  77%|███████▋  | 3078/4000 [1:16:51<23:22,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  77%|███████▋  | 3079/4000 [1:16:52<23:11,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  77%|███████▋  | 3080/4000 [1:16:54<23:05,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.51s/it]
overall:  77%|███████▋  | 3081/4000 [1:16:55<22:57,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  77%|███████▋  | 3082/4000 [1:16:57<22:50,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  77%|███████▋  | 3083/4000 [1:16:58<22:49,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  77%|███████▋  | 3084/4000 [1:17:00<22:50,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.50s/it]
overall:  77%|███████▋  | 3085/4000 [1:17:01<22:45,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  77%|███████▋  | 3086/4000 [1:17:03<22:45,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  77%|███████▋  | 3087/4000 [1:17:04<22:43,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  77%|███████▋  | 3088/4000 [1:17:06<22:45,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.50s/it]
overall:  77%|███████▋  | 3089/4000 [1:17:07<22:43,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  77%|███████▋  | 3090/4000 [1:17:09<22:37,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.49s/it]
overall:  77%|███████▋  | 3091/4000 [1:17:10<22:33,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  77%|███████▋  | 3092/4000 [1:17:12<22:29,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:  77%|███████▋  | 3093/4000 [1:17:13<22:26,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  77%|███████▋  | 3094/4000 [1:17:15<22:23,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.48s/it]
overall:  77%|███████▋  | 3095/4000 [1:17:16<22:21,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  77%|███████▋  | 3096/4000 [1:17:18<22:22,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.49s/it]
overall:  77%|███████▋  | 3097/4000 [1:17:19<22:20,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  77%|███████▋  | 3098/4000 [1:17:21<22:19,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:41<00:14,  1.49s/it]
overall:  77%|███████▋  | 3099/4000 [1:17:22<22:18,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  78%|███████▊  | 3100/4000 [1:17:24<22:20,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:44<00:11,  1.49s/it]
overall:  78%|███████▊  | 3101/4000 [1:17:25<23:00,  1.54s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.54s/it]
overall:  78%|███████▊  | 3102/4000 [1:17:27<22:44,  1.52s/it]

train:  84%|████████▍ | 31/37 [00:47<00:09,  1.52s/it]
overall:  78%|███████▊  | 3103/4000 [1:17:28<22:37,  1.51s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.51s/it]
overall:  78%|███████▊  | 3104/4000 [1:17:30<22:36,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:50<00:06,  1.51s/it]
overall:  78%|███████▊  | 3105/4000 [1:17:31<22:27,  1.51s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.51s/it]
overall:  78%|███████▊  | 3106/4000 [1:17:33<22:19,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:53<00:02,  1.50s/it]
overall:  78%|███████▊  | 3107/4000 [1:17:34<22:16,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  78%|███████▊  | 3108/4000 [1:17:35<21:20,  1.44s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.44s/it]
train: 100%|██████████| 37/37 [00:56<00:00,  1.51s/it]
train loss: 1.7726867198944092
train acc: 0.38765183091163635
train loss: 1.6922591924667358
train acc: 0.4449999928474426
train loss: 1.6708475351333618
train acc: 0.4309999942779541


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  78%|███████▊  | 3109/4000 [1:17:38<25:55,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  78%|███████▊  | 3110/4000 [1:17:39<24:37,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  78%|███████▊  | 3111/4000 [1:17:41<23:45,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  78%|███████▊  | 3112/4000 [1:17:42<23:12,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  78%|███████▊  | 3113/4000 [1:17:44<22:47,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  78%|███████▊  | 3114/4000 [1:17:45<22:29,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  78%|███████▊  | 3115/4000 [1:17:47<22:16,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  78%|███████▊  | 3116/4000 [1:17:48<22:10,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  78%|███████▊  | 3117/4000 [1:17:50<22:02,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  78%|███████▊  | 3118/4000 [1:17:51<21:55,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  78%|███████▊  | 3119/4000 [1:17:53<21:51,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  78%|███████▊  | 3120/4000 [1:17:54<21:59,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  78%|███████▊  | 3121/4000 [1:17:56<22:03,  1.51s/it]

train:  35%|███▌      | 13/37 [00:20<00:36,  1.51s/it]
overall:  78%|███████▊  | 3122/4000 [1:17:57<21:54,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  78%|███████▊  | 3123/4000 [1:17:59<21:48,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  78%|███████▊  | 3124/4000 [1:18:00<21:43,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  78%|███████▊  | 3125/4000 [1:18:02<21:42,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  78%|███████▊  | 3126/4000 [1:18:03<21:38,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  78%|███████▊  | 3127/4000 [1:18:05<21:36,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.49s/it]
overall:  78%|███████▊  | 3128/4000 [1:18:06<21:39,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  78%|███████▊  | 3129/4000 [1:18:08<21:39,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:  78%|███████▊  | 3130/4000 [1:18:09<21:36,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  78%|███████▊  | 3131/4000 [1:18:11<21:37,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:  78%|███████▊  | 3132/4000 [1:18:12<21:36,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  78%|███████▊  | 3133/4000 [1:18:14<21:38,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.50s/it]
overall:  78%|███████▊  | 3134/4000 [1:18:15<21:35,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  78%|███████▊  | 3135/4000 [1:18:17<21:35,  1.50s/it]

train:  73%|███████▎  | 27/37 [00:41<00:14,  1.50s/it]
overall:  78%|███████▊  | 3136/4000 [1:18:18<21:30,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  78%|███████▊  | 3137/4000 [1:18:20<21:30,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:44<00:11,  1.50s/it]
overall:  78%|███████▊  | 3138/4000 [1:18:21<21:29,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  78%|███████▊  | 3139/4000 [1:18:23<21:28,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:47<00:08,  1.50s/it]
overall:  78%|███████▊  | 3140/4000 [1:18:24<21:26,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  79%|███████▊  | 3141/4000 [1:18:26<21:23,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:50<00:05,  1.49s/it]
overall:  79%|███████▊  | 3142/4000 [1:18:27<21:21,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  79%|███████▊  | 3143/4000 [1:18:29<21:17,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  79%|███████▊  | 3144/4000 [1:18:30<21:20,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  79%|███████▊  | 3145/4000 [1:18:31<20:27,  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: 1.739518404006958
train acc: 0.4190283417701721
train loss: 1.7286800146102905
train acc: 0.4059999883174896
train loss: 1.6783653497695923
train acc: 0.45399999618530273
train loss: 1.7215640544891357
train acc: 0.414000004529953


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  79%|███████▊  | 3146/4000 [1:18:34<25:01,  1.76s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.37s/it]
overall:  79%|███████▊  | 3147/4000 [1:18:35<23:49,  1.68s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  79%|███████▊  | 3148/4000 [1:18:37<22:57,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  79%|███████▊  | 3149/4000 [1:18:38<22:21,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  79%|███████▉  | 3150/4000 [1:18:40<21:54,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  79%|███████▉  | 3151/4000 [1:18:41<21:35,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  79%|███████▉  | 3152/4000 [1:18:43<21:21,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  79%|███████▉  | 3153/4000 [1:18:44<21:15,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  79%|███████▉  | 3154/4000 [1:18:46<21:09,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  79%|███████▉  | 3155/4000 [1:18:47<21:03,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  79%|███████▉  | 3156/4000 [1:18:49<20:58,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  79%|███████▉  | 3157/4000 [1:18:50<20:53,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  79%|███████▉  | 3158/4000 [1:18:52<21:00,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.50s/it]
overall:  79%|███████▉  | 3159/4000 [1:18:53<20:53,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  79%|███████▉  | 3160/4000 [1:18:55<20:50,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  79%|███████▉  | 3161/4000 [1:18:56<20:45,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  79%|███████▉  | 3162/4000 [1:18:58<20:42,  1.48s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.48s/it]
overall:  79%|███████▉  | 3163/4000 [1:18:59<20:40,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  79%|███████▉  | 3164/4000 [1:19:01<20:39,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  79%|███████▉  | 3165/4000 [1:19:02<20:37,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  79%|███████▉  | 3166/4000 [1:19:04<20:35,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.48s/it]
overall:  79%|███████▉  | 3167/4000 [1:19:05<20:36,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  79%|███████▉  | 3168/4000 [1:19:06<20:33,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.48s/it]
overall:  79%|███████▉  | 3169/4000 [1:19:08<20:31,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  79%|███████▉  | 3170/4000 [1:19:09<20:41,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.50s/it]
overall:  79%|███████▉  | 3171/4000 [1:19:11<20:35,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  79%|███████▉  | 3172/4000 [1:19:12<20:31,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  79%|███████▉  | 3173/4000 [1:19:14<20:26,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  79%|███████▉  | 3174/4000 [1:19:15<20:25,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  79%|███████▉  | 3175/4000 [1:19:17<20:23,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  79%|███████▉  | 3176/4000 [1:19:18<20:28,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  79%|███████▉  | 3177/4000 [1:19:20<20:26,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  79%|███████▉  | 3178/4000 [1:19:21<20:21,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  79%|███████▉  | 3179/4000 [1:19:23<20:17,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  80%|███████▉  | 3180/4000 [1:19:24<20:17,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  80%|███████▉  | 3181/4000 [1:19:26<20:13,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  80%|███████▉  | 3182/4000 [1:19:27<19:26,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.7612025737762451
train acc: 0.41194331645965576
train loss: 1.6924123764038086
train acc: 0.43799999356269836
train loss: 1.7391611337661743
train acc: 0.4350000023841858
train loss: 1.6940587759017944
train acc: 0.414000004529953


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  80%|███████▉  | 3183/4000 [1:19:29<22:50,  1.68s/it]

train:   3%|▎         | 1/37 [00:02<01:17,  2.14s/it]
overall:  80%|███████▉  | 3184/4000 [1:19:31<21:59,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.75s/it]
overall:  80%|███████▉  | 3185/4000 [1:19:32<21:15,  1.56s/it]

train:   8%|▊         | 3/37 [00:05<00:54,  1.61s/it]
overall:  80%|███████▉  | 3186/4000 [1:19:34<20:47,  1.53s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.55s/it]
overall:  80%|███████▉  | 3187/4000 [1:19:35<20:38,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:  80%|███████▉  | 3188/4000 [1:19:37<20:19,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  80%|███████▉  | 3189/4000 [1:19:38<20:12,  1.50s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.50s/it]
overall:  80%|███████▉  | 3190/4000 [1:19:40<20:09,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  80%|███████▉  | 3191/4000 [1:19:41<20:09,  1.49s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.50s/it]
overall:  80%|███████▉  | 3192/4000 [1:19:43<20:07,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  80%|███████▉  | 3193/4000 [1:19:44<20:02,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  80%|███████▉  | 3194/4000 [1:19:46<19:58,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  80%|███████▉  | 3195/4000 [1:19:47<19:55,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  80%|███████▉  | 3196/4000 [1:19:49<19:57,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  80%|███████▉  | 3197/4000 [1:19:50<19:54,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  80%|███████▉  | 3198/4000 [1:19:52<19:51,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  80%|███████▉  | 3199/4000 [1:19:53<19:51,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  80%|████████  | 3200/4000 [1:19:55<19:48,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  80%|████████  | 3201/4000 [1:19:56<19:50,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  80%|████████  | 3202/4000 [1:19:58<19:47,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  80%|████████  | 3203/4000 [1:19:59<19:45,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  80%|████████  | 3204/4000 [1:20:01<19:49,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  80%|████████  | 3205/4000 [1:20:02<19:45,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  80%|████████  | 3206/4000 [1:20:03<19:41,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  80%|████████  | 3207/4000 [1:20:05<19:42,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  80%|████████  | 3208/4000 [1:20:06<19:38,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  80%|████████  | 3209/4000 [1:20:08<19:33,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  80%|████████  | 3210/4000 [1:20:09<19:31,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  80%|████████  | 3211/4000 [1:20:11<19:30,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  80%|████████  | 3212/4000 [1:20:12<19:27,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  80%|████████  | 3213/4000 [1:20:14<19:28,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  80%|████████  | 3214/4000 [1:20:15<19:26,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  80%|████████  | 3215/4000 [1:20:17<19:24,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  80%|████████  | 3216/4000 [1:20:18<19:26,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  80%|████████  | 3217/4000 [1:20:20<19:24,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  80%|████████  | 3218/4000 [1:20:21<19:20,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  80%|████████  | 3219/4000 [1:20:23<18:36,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7288196086883545
train acc: 0.4291498064994812
train loss: 1.7457761764526367
train acc: 0.3930000066757202
train loss: 1.7041162252426147
train acc: 0.43799999356269836


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  80%|████████  | 3220/4000 [1:20:25<22:06,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.20s/it]
overall:  81%|████████  | 3221/4000 [1:20:26<21:14,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  81%|████████  | 3222/4000 [1:20:28<20:31,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  81%|████████  | 3223/4000 [1:20:29<20:03,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  81%|████████  | 3224/4000 [1:20:31<19:43,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.53s/it]
overall:  81%|████████  | 3225/4000 [1:20:32<19:30,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  81%|████████  | 3226/4000 [1:20:34<19:21,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.50s/it]
overall:  81%|████████  | 3227/4000 [1:20:35<19:15,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  81%|████████  | 3228/4000 [1:20:37<19:10,  1.49s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.49s/it]
overall:  81%|████████  | 3229/4000 [1:20:38<19:06,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  81%|████████  | 3230/4000 [1:20:40<19:03,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  81%|████████  | 3231/4000 [1:20:41<19:00,  1.48s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.48s/it]
overall:  81%|████████  | 3232/4000 [1:20:43<19:01,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  81%|████████  | 3233/4000 [1:20:44<18:59,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  81%|████████  | 3234/4000 [1:20:46<18:56,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  81%|████████  | 3235/4000 [1:20:47<18:53,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  81%|████████  | 3236/4000 [1:20:49<18:52,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  81%|████████  | 3237/4000 [1:20:50<18:50,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  81%|████████  | 3238/4000 [1:20:52<18:48,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  81%|████████  | 3239/4000 [1:20:53<18:46,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  81%|████████  | 3240/4000 [1:20:54<18:44,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  81%|████████  | 3241/4000 [1:20:56<18:42,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  81%|████████  | 3242/4000 [1:20:57<18:45,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  81%|████████  | 3243/4000 [1:20:59<18:43,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  81%|████████  | 3244/4000 [1:21:00<18:44,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  81%|████████  | 3245/4000 [1:21:02<18:42,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  81%|████████  | 3246/4000 [1:21:03<18:38,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  81%|████████  | 3247/4000 [1:21:05<18:36,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  81%|████████  | 3248/4000 [1:21:06<18:34,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  81%|████████  | 3249/4000 [1:21:08<18:32,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  81%|████████▏ | 3250/4000 [1:21:09<18:29,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  81%|████████▏ | 3251/4000 [1:21:11<18:28,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  81%|████████▏ | 3252/4000 [1:21:12<18:26,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  81%|████████▏ | 3253/4000 [1:21:14<18:26,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  81%|████████▏ | 3254/4000 [1:21:15<18:24,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  81%|████████▏ | 3255/4000 [1:21:17<18:22,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  81%|████████▏ | 3256/4000 [1:21:18<17:39,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.6967750787734985
train acc: 0.4261133670806885
train loss: 1.7714850902557373
train acc: 0.39399999380111694
train loss: 1.7009871006011963
train acc: 0.4269999861717224
train loss: 1.712384819984436
train acc: 0.4449999928474426


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  81%|████████▏ | 3257/4000 [1:21:20<21:02,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.22s/it]
overall:  81%|████████▏ | 3258/4000 [1:21:22<20:12,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.79s/it]
overall:  81%|████████▏ | 3259/4000 [1:21:23<19:36,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  82%|████████▏ | 3260/4000 [1:21:25<19:11,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  82%|████████▏ | 3261/4000 [1:21:26<18:55,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  82%|████████▏ | 3262/4000 [1:21:28<18:42,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  82%|████████▏ | 3263/4000 [1:21:29<18:32,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  82%|████████▏ | 3264/4000 [1:21:31<18:24,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  82%|████████▏ | 3265/4000 [1:21:32<18:18,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  82%|████████▏ | 3266/4000 [1:21:34<18:16,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  82%|████████▏ | 3267/4000 [1:21:35<18:12,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  82%|████████▏ | 3268/4000 [1:21:37<18:09,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  82%|████████▏ | 3269/4000 [1:21:38<18:10,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  82%|████████▏ | 3270/4000 [1:21:40<18:06,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  82%|████████▏ | 3271/4000 [1:21:41<18:05,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  82%|████████▏ | 3272/4000 [1:21:43<18:02,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  82%|████████▏ | 3273/4000 [1:21:44<18:00,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  82%|████████▏ | 3274/4000 [1:21:46<17:58,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  82%|████████▏ | 3275/4000 [1:21:47<17:57,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  82%|████████▏ | 3276/4000 [1:21:49<17:55,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  82%|████████▏ | 3277/4000 [1:21:50<17:53,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  82%|████████▏ | 3278/4000 [1:21:52<17:54,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  82%|████████▏ | 3279/4000 [1:21:53<17:52,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  82%|████████▏ | 3280/4000 [1:21:55<17:49,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  82%|████████▏ | 3281/4000 [1:21:56<17:51,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  82%|████████▏ | 3282/4000 [1:21:58<17:49,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  82%|████████▏ | 3283/4000 [1:21:59<17:47,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  82%|████████▏ | 3284/4000 [1:22:00<17:46,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  82%|████████▏ | 3285/4000 [1:22:02<17:44,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  82%|████████▏ | 3286/4000 [1:22:03<17:44,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  82%|████████▏ | 3287/4000 [1:22:05<17:41,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  82%|████████▏ | 3288/4000 [1:22:06<17:44,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  82%|████████▏ | 3289/4000 [1:22:08<17:41,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  82%|████████▏ | 3290/4000 [1:22:09<17:40,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  82%|████████▏ | 3291/4000 [1:22:11<17:35,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  82%|████████▏ | 3292/4000 [1:22:12<17:31,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  82%|████████▏ | 3293/4000 [1:22:14<16:46,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.6888892650604248
train acc: 0.43522268533706665
train loss: 1.6970800161361694
train acc: 0.4339999854564667
train loss: 1.7016083002090454
train acc: 0.42899999022483826
train loss: 1.7302944660186768
train acc: 0.42399999499320984


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  82%|████████▏ | 3294/4000 [1:22:16<20:00,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:19,  2.21s/it]
overall:  82%|████████▏ | 3295/4000 [1:22:18<19:12,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  82%|████████▏ | 3296/4000 [1:22:19<18:40,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  82%|████████▏ | 3297/4000 [1:22:20<18:16,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  82%|████████▏ | 3298/4000 [1:22:22<18:00,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  82%|████████▏ | 3299/4000 [1:22:23<17:48,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  82%|████████▎ | 3300/4000 [1:22:25<17:37,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  83%|████████▎ | 3301/4000 [1:22:26<17:29,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  83%|████████▎ | 3302/4000 [1:22:28<17:27,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  83%|████████▎ | 3303/4000 [1:22:29<17:24,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  83%|████████▎ | 3304/4000 [1:22:31<17:19,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  83%|████████▎ | 3305/4000 [1:22:32<17:15,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  83%|████████▎ | 3306/4000 [1:22:34<17:15,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  83%|████████▎ | 3307/4000 [1:22:35<17:11,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  83%|████████▎ | 3308/4000 [1:22:37<17:09,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  83%|████████▎ | 3309/4000 [1:22:38<17:05,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  83%|████████▎ | 3310/4000 [1:22:40<17:04,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  83%|████████▎ | 3311/4000 [1:22:41<17:05,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  83%|████████▎ | 3312/4000 [1:22:43<17:02,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  83%|████████▎ | 3313/4000 [1:22:44<17:01,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  83%|████████▎ | 3314/4000 [1:22:46<17:03,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  83%|████████▎ | 3315/4000 [1:22:47<16:59,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  83%|████████▎ | 3316/4000 [1:22:49<16:59,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  83%|████████▎ | 3317/4000 [1:22:50<16:59,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  83%|████████▎ | 3318/4000 [1:22:52<17:00,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.50s/it]
overall:  83%|████████▎ | 3319/4000 [1:22:53<16:58,  1.50s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.50s/it]
overall:  83%|████████▎ | 3320/4000 [1:22:55<16:55,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  83%|████████▎ | 3321/4000 [1:22:56<16:53,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  83%|████████▎ | 3322/4000 [1:22:58<16:50,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  83%|████████▎ | 3323/4000 [1:22:59<16:49,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  83%|████████▎ | 3324/4000 [1:23:01<16:49,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  83%|████████▎ | 3325/4000 [1:23:02<16:46,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  83%|████████▎ | 3326/4000 [1:23:04<16:46,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  83%|████████▎ | 3327/4000 [1:23:05<16:41,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  83%|████████▎ | 3328/4000 [1:23:07<16:38,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  83%|████████▎ | 3329/4000 [1:23:08<16:35,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  83%|████████▎ | 3330/4000 [1:23:09<15:56,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.7452468872070312
train acc: 0.4058704376220703
train loss: 1.731454610824585
train acc: 0.4129999876022339
train loss: 1.7341086864471436
train acc: 0.41999998688697815
train loss: 1.6564743518829346
train acc: 0.45647773146629333


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  83%|████████▎ | 3331/4000 [1:23:12<18:51,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.17s/it]
overall:  83%|████████▎ | 3332/4000 [1:23:13<18:03,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.75s/it]
overall:  83%|████████▎ | 3333/4000 [1:23:15<17:37,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  83%|████████▎ | 3334/4000 [1:23:16<17:14,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  83%|████████▎ | 3335/4000 [1:23:18<16:58,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  83%|████████▎ | 3336/4000 [1:23:19<16:47,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  83%|████████▎ | 3337/4000 [1:23:21<16:37,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  83%|████████▎ | 3338/4000 [1:23:22<16:33,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  83%|████████▎ | 3339/4000 [1:23:24<16:28,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  84%|████████▎ | 3340/4000 [1:23:25<16:23,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  84%|████████▎ | 3341/4000 [1:23:27<16:20,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  84%|████████▎ | 3342/4000 [1:23:28<16:18,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  84%|████████▎ | 3343/4000 [1:23:30<16:18,  1.49s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.49s/it]
overall:  84%|████████▎ | 3344/4000 [1:23:31<16:15,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  84%|████████▎ | 3345/4000 [1:23:33<16:19,  1.50s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.50s/it]
overall:  84%|████████▎ | 3346/4000 [1:23:34<16:20,  1.50s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.50s/it]
overall:  84%|████████▎ | 3347/4000 [1:23:36<16:20,  1.50s/it]

train:  46%|████▌     | 17/37 [00:25<00:30,  1.50s/it]
overall:  84%|████████▎ | 3348/4000 [1:23:37<16:16,  1.50s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.50s/it]
overall:  84%|████████▎ | 3349/4000 [1:23:39<16:11,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  84%|████████▍ | 3350/4000 [1:23:40<16:08,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  84%|████████▍ | 3351/4000 [1:23:41<16:04,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  84%|████████▍ | 3352/4000 [1:23:43<16:04,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  84%|████████▍ | 3353/4000 [1:23:44<16:02,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  84%|████████▍ | 3354/4000 [1:23:46<15:59,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  84%|████████▍ | 3355/4000 [1:23:47<16:00,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  84%|████████▍ | 3356/4000 [1:23:49<15:57,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  84%|████████▍ | 3357/4000 [1:23:50<16:00,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  84%|████████▍ | 3358/4000 [1:23:52<15:58,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  84%|████████▍ | 3359/4000 [1:23:53<15:56,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  84%|████████▍ | 3360/4000 [1:23:55<15:56,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  84%|████████▍ | 3361/4000 [1:23:56<15:53,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  84%|████████▍ | 3362/4000 [1:23:58<15:51,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  84%|████████▍ | 3363/4000 [1:23:59<15:53,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.50s/it]
overall:  84%|████████▍ | 3364/4000 [1:24:01<15:48,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  84%|████████▍ | 3365/4000 [1:24:02<15:44,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  84%|████████▍ | 3366/4000 [1:24:04<15:44,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  84%|████████▍ | 3367/4000 [1:24:05<15:05,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.719443678855896
train acc: 0.4189999997615814
train loss: 1.6903655529022217
train acc: 0.42800000309944153
train loss: 1.7263587713241577
train acc: 0.42500001192092896


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  84%|████████▍ | 3368/4000 [1:24:08<18:13,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:22,  2.30s/it]
overall:  84%|████████▍ | 3369/4000 [1:24:09<17:24,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  84%|████████▍ | 3370/4000 [1:24:10<16:46,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  84%|████████▍ | 3371/4000 [1:24:12<16:21,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  84%|████████▍ | 3372/4000 [1:24:13<16:05,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  84%|████████▍ | 3373/4000 [1:24:15<15:52,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  84%|████████▍ | 3374/4000 [1:24:16<15:44,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  84%|████████▍ | 3375/4000 [1:24:18<15:39,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  84%|████████▍ | 3376/4000 [1:24:19<15:34,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  84%|████████▍ | 3377/4000 [1:24:21<15:29,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  84%|████████▍ | 3378/4000 [1:24:22<15:25,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  84%|████████▍ | 3379/4000 [1:24:24<15:22,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  84%|████████▍ | 3380/4000 [1:24:25<15:26,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  85%|████████▍ | 3381/4000 [1:24:27<15:23,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  85%|████████▍ | 3382/4000 [1:24:28<15:19,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  85%|████████▍ | 3383/4000 [1:24:30<15:16,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  85%|████████▍ | 3384/4000 [1:24:31<15:13,  1.48s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.48s/it]
overall:  85%|████████▍ | 3385/4000 [1:24:33<15:11,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  85%|████████▍ | 3386/4000 [1:24:34<15:11,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  85%|████████▍ | 3387/4000 [1:24:36<15:13,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  85%|████████▍ | 3388/4000 [1:24:37<15:13,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  85%|████████▍ | 3389/4000 [1:24:39<15:09,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  85%|████████▍ | 3390/4000 [1:24:40<15:06,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  85%|████████▍ | 3391/4000 [1:24:42<15:04,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  85%|████████▍ | 3392/4000 [1:24:43<15:05,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  85%|████████▍ | 3393/4000 [1:24:45<15:02,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  85%|████████▍ | 3394/4000 [1:24:46<14:59,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  85%|████████▍ | 3395/4000 [1:24:48<14:57,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  85%|████████▍ | 3396/4000 [1:24:49<14:55,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  85%|████████▍ | 3397/4000 [1:24:51<14:54,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  85%|████████▍ | 3398/4000 [1:24:52<14:51,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  85%|████████▍ | 3399/4000 [1:24:54<14:53,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  85%|████████▌ | 3400/4000 [1:24:55<14:53,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  85%|████████▌ | 3401/4000 [1:24:57<14:50,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  85%|████████▌ | 3402/4000 [1:24:58<14:47,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  85%|████████▌ | 3403/4000 [1:24:59<14:45,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  85%|████████▌ | 3404/4000 [1:25:01<14:10,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.700137734413147
train acc: 0.42307692766189575
train loss: 1.6815063953399658
train acc: 0.4320000112056732
train loss: 1.718038558959961
train acc: 0.42399999499320984
train loss: 1.7609233856201172
train acc: 0.4000000059604645


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  85%|████████▌ | 3405/4000 [1:25:03<17:17,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:25,  2.37s/it]
overall:  85%|████████▌ | 3406/4000 [1:25:05<16:25,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.83s/it]
overall:  85%|████████▌ | 3407/4000 [1:25:06<15:51,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.67s/it]
overall:  85%|████████▌ | 3408/4000 [1:25:08<15:23,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.59s/it]
overall:  85%|████████▌ | 3409/4000 [1:25:09<15:03,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  85%|████████▌ | 3410/4000 [1:25:11<14:49,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  85%|████████▌ | 3411/4000 [1:25:12<14:39,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  85%|████████▌ | 3412/4000 [1:25:14<14:33,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  85%|████████▌ | 3413/4000 [1:25:15<14:26,  1.48s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.48s/it]
overall:  85%|████████▌ | 3414/4000 [1:25:16<14:20,  1.47s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.47s/it]
overall:  85%|████████▌ | 3415/4000 [1:25:18<14:15,  1.46s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.46s/it]
overall:  85%|████████▌ | 3416/4000 [1:25:19<14:17,  1.47s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.47s/it]
overall:  85%|████████▌ | 3417/4000 [1:25:21<14:21,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  85%|████████▌ | 3418/4000 [1:25:22<14:20,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.48s/it]
overall:  85%|████████▌ | 3419/4000 [1:25:24<14:25,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  86%|████████▌ | 3420/4000 [1:25:25<14:23,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  86%|████████▌ | 3421/4000 [1:25:27<14:20,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  86%|████████▌ | 3422/4000 [1:25:28<14:18,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  86%|████████▌ | 3423/4000 [1:25:30<14:15,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  86%|████████▌ | 3424/4000 [1:25:31<14:16,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  86%|████████▌ | 3425/4000 [1:25:33<14:16,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  86%|████████▌ | 3426/4000 [1:25:34<14:13,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  86%|████████▌ | 3427/4000 [1:25:36<14:10,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  86%|████████▌ | 3428/4000 [1:25:37<14:11,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  86%|████████▌ | 3429/4000 [1:25:39<14:09,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  86%|████████▌ | 3430/4000 [1:25:40<14:06,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  86%|████████▌ | 3431/4000 [1:25:42<14:07,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  86%|████████▌ | 3432/4000 [1:25:43<14:07,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  86%|████████▌ | 3433/4000 [1:25:45<14:03,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  86%|████████▌ | 3434/4000 [1:25:46<14:01,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  86%|████████▌ | 3435/4000 [1:25:48<13:59,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  86%|████████▌ | 3436/4000 [1:25:49<13:59,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  86%|████████▌ | 3437/4000 [1:25:51<13:56,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  86%|████████▌ | 3438/4000 [1:25:52<13:56,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  86%|████████▌ | 3439/4000 [1:25:54<13:57,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  86%|████████▌ | 3440/4000 [1:25:55<13:53,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  86%|████████▌ | 3441/4000 [1:25:56<13:21,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7129452228546143
train acc: 0.43623483180999756
train loss: 1.7117328643798828
train acc: 0.4269999861717224
train loss: 1.6995820999145508
train acc: 0.4399999976158142
train loss: 1.7298694849014282
train acc: 0.4090000092983246


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  86%|████████▌ | 3442/4000 [1:25:59<15:50,  1.70s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  86%|████████▌ | 3443/4000 [1:26:00<15:10,  1.63s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.77s/it]
overall:  86%|████████▌ | 3444/4000 [1:26:02<14:40,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  86%|████████▌ | 3445/4000 [1:26:03<14:20,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  86%|████████▌ | 3446/4000 [1:26:05<14:08,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  86%|████████▌ | 3447/4000 [1:26:06<14:00,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  86%|████████▌ | 3448/4000 [1:26:08<13:53,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  86%|████████▌ | 3449/4000 [1:26:09<13:49,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  86%|████████▋ | 3450/4000 [1:26:11<13:44,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  86%|████████▋ | 3451/4000 [1:26:12<13:42,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  86%|████████▋ | 3452/4000 [1:26:14<13:38,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  86%|████████▋ | 3453/4000 [1:26:15<13:34,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  86%|████████▋ | 3454/4000 [1:26:17<13:37,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.50s/it]
overall:  86%|████████▋ | 3455/4000 [1:26:18<13:36,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  86%|████████▋ | 3456/4000 [1:26:20<13:31,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  86%|████████▋ | 3457/4000 [1:26:21<13:28,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  86%|████████▋ | 3458/4000 [1:26:22<13:25,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  86%|████████▋ | 3459/4000 [1:26:24<13:25,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  86%|████████▋ | 3460/4000 [1:26:25<13:24,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  87%|████████▋ | 3461/4000 [1:26:27<13:23,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  87%|████████▋ | 3462/4000 [1:26:28<13:20,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  87%|████████▋ | 3463/4000 [1:26:30<13:17,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  87%|████████▋ | 3464/4000 [1:26:31<13:17,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  87%|████████▋ | 3465/4000 [1:26:33<13:14,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  87%|████████▋ | 3466/4000 [1:26:34<13:15,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  87%|████████▋ | 3467/4000 [1:26:36<13:16,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  87%|████████▋ | 3468/4000 [1:26:37<13:12,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  87%|████████▋ | 3469/4000 [1:26:39<13:09,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  87%|████████▋ | 3470/4000 [1:26:40<13:06,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  87%|████████▋ | 3471/4000 [1:26:42<13:06,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  87%|████████▋ | 3472/4000 [1:26:43<13:08,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  87%|████████▋ | 3473/4000 [1:26:45<13:21,  1.52s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.52s/it]
overall:  87%|████████▋ | 3474/4000 [1:26:46<13:14,  1.51s/it]

train:  89%|████████▉ | 33/37 [00:49<00:06,  1.51s/it]
overall:  87%|████████▋ | 3475/4000 [1:26:48<13:08,  1.50s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.50s/it]
overall:  87%|████████▋ | 3476/4000 [1:26:49<13:04,  1.50s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.50s/it]
overall:  87%|████████▋ | 3477/4000 [1:26:51<13:02,  1.50s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.50s/it]
overall:  87%|████████▋ | 3478/4000 [1:26:52<12:29,  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: 1.7324680089950562
train acc: 0.41194331645965576
train loss: 1.7315647602081299
train acc: 0.42399999499320984
train loss: 1.6899547576904297
train acc: 0.43799999356269836


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  87%|████████▋ | 3479/4000 [1:26:55<14:50,  1.71s/it]

train:   3%|▎         | 1/37 [00:02<01:20,  2.22s/it]
overall:  87%|████████▋ | 3480/4000 [1:26:56<14:12,  1.64s/it]

train:   5%|▌         | 2/37 [00:03<01:02,  1.78s/it]
overall:  87%|████████▋ | 3481/4000 [1:26:57<13:43,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]
overall:  87%|████████▋ | 3482/4000 [1:26:59<13:21,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  87%|████████▋ | 3483/4000 [1:27:00<13:04,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.52s/it]
overall:  87%|████████▋ | 3484/4000 [1:27:02<12:59,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  87%|████████▋ | 3485/4000 [1:27:03<12:49,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  87%|████████▋ | 3486/4000 [1:27:05<12:43,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  87%|████████▋ | 3487/4000 [1:27:06<12:40,  1.48s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.48s/it]
overall:  87%|████████▋ | 3488/4000 [1:27:08<12:38,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:39,  1.48s/it]
overall:  87%|████████▋ | 3489/4000 [1:27:09<12:38,  1.48s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.48s/it]
overall:  87%|████████▋ | 3490/4000 [1:27:11<12:35,  1.48s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.48s/it]
overall:  87%|████████▋ | 3491/4000 [1:27:12<12:35,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  87%|████████▋ | 3492/4000 [1:27:14<12:35,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  87%|████████▋ | 3493/4000 [1:27:15<12:34,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  87%|████████▋ | 3494/4000 [1:27:17<12:32,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  87%|████████▋ | 3495/4000 [1:27:18<12:29,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  87%|████████▋ | 3496/4000 [1:27:20<12:29,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  87%|████████▋ | 3497/4000 [1:27:21<12:28,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  87%|████████▋ | 3498/4000 [1:27:23<12:24,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  87%|████████▋ | 3499/4000 [1:27:24<12:22,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  88%|████████▊ | 3500/4000 [1:27:26<12:20,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  88%|████████▊ | 3501/4000 [1:27:27<12:18,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  88%|████████▊ | 3502/4000 [1:27:29<12:17,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  88%|████████▊ | 3503/4000 [1:27:30<12:16,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  88%|████████▊ | 3504/4000 [1:27:31<12:16,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  88%|████████▊ | 3505/4000 [1:27:33<12:14,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  88%|████████▊ | 3506/4000 [1:27:34<12:14,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  88%|████████▊ | 3507/4000 [1:27:36<12:12,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  88%|████████▊ | 3508/4000 [1:27:37<12:13,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  88%|████████▊ | 3509/4000 [1:27:39<12:12,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  88%|████████▊ | 3510/4000 [1:27:40<12:09,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  88%|████████▊ | 3511/4000 [1:27:42<12:07,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  88%|████████▊ | 3512/4000 [1:27:43<12:04,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  88%|████████▊ | 3513/4000 [1:27:45<12:01,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  88%|████████▊ | 3514/4000 [1:27:46<12:00,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  88%|████████▊ | 3515/4000 [1:27:48<11:31,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.6943461894989014
train acc: 0.42510122060775757
train loss: 1.700789451599121
train acc: 0.41999998688697815
train loss: 1.7554371356964111
train acc: 0.4129999876022339
train loss: 1.693561315536499
train acc: 0.4320000112056732


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  88%|████████▊ | 3516/4000 [1:27:50<14:02,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.35s/it]
overall:  88%|████████▊ | 3517/4000 [1:27:52<13:20,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  88%|████████▊ | 3518/4000 [1:27:53<12:58,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  88%|████████▊ | 3519/4000 [1:27:55<12:38,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  88%|████████▊ | 3520/4000 [1:27:56<12:22,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  88%|████████▊ | 3521/4000 [1:27:58<12:11,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  88%|████████▊ | 3522/4000 [1:27:59<12:02,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  88%|████████▊ | 3523/4000 [1:28:01<11:58,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  88%|████████▊ | 3524/4000 [1:28:02<11:54,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  88%|████████▊ | 3525/4000 [1:28:03<11:51,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  88%|████████▊ | 3526/4000 [1:28:05<11:47,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  88%|████████▊ | 3527/4000 [1:28:06<11:44,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  88%|████████▊ | 3528/4000 [1:28:08<11:43,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  88%|████████▊ | 3529/4000 [1:28:09<11:40,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  88%|████████▊ | 3530/4000 [1:28:11<11:39,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  88%|████████▊ | 3531/4000 [1:28:12<11:38,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  88%|████████▊ | 3532/4000 [1:28:14<11:36,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  88%|████████▊ | 3533/4000 [1:28:15<11:33,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  88%|████████▊ | 3534/4000 [1:28:17<11:31,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  88%|████████▊ | 3535/4000 [1:28:18<11:29,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  88%|████████▊ | 3536/4000 [1:28:20<11:32,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:  88%|████████▊ | 3537/4000 [1:28:21<11:29,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  88%|████████▊ | 3538/4000 [1:28:23<11:26,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:  88%|████████▊ | 3539/4000 [1:28:24<11:25,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  88%|████████▊ | 3540/4000 [1:28:26<11:25,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.49s/it]
overall:  89%|████████▊ | 3541/4000 [1:28:27<11:24,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  89%|████████▊ | 3542/4000 [1:28:29<11:24,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:41<00:14,  1.49s/it]
overall:  89%|████████▊ | 3543/4000 [1:28:30<11:23,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  89%|████████▊ | 3544/4000 [1:28:32<11:19,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  89%|████████▊ | 3545/4000 [1:28:33<11:17,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  89%|████████▊ | 3546/4000 [1:28:35<11:14,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  89%|████████▊ | 3547/4000 [1:28:36<11:15,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  89%|████████▊ | 3548/4000 [1:28:38<11:14,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  89%|████████▊ | 3549/4000 [1:28:39<11:11,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  89%|████████▉ | 3550/4000 [1:28:41<11:08,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  89%|████████▉ | 3551/4000 [1:28:42<11:05,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  89%|████████▉ | 3552/4000 [1:28:43<10:39,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.6623462438583374
train acc: 0.45951417088508606
train loss: 1.7244364023208618
train acc: 0.42899999022483826
train loss: 1.7037353515625
train acc: 0.4129999876022339
train loss: 1.720075011253357
train acc: 0.4269999861717224


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  89%|████████▉ | 3553/4000 [1:28:46<12:58,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  89%|████████▉ | 3554/4000 [1:28:47<12:24,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  89%|████████▉ | 3555/4000 [1:28:49<11:58,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  89%|████████▉ | 3556/4000 [1:28:50<11:38,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  89%|████████▉ | 3557/4000 [1:28:52<11:24,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  89%|████████▉ | 3558/4000 [1:28:53<11:14,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  89%|████████▉ | 3559/4000 [1:28:55<11:09,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  89%|████████▉ | 3560/4000 [1:28:56<11:05,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  89%|████████▉ | 3561/4000 [1:28:58<10:59,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  89%|████████▉ | 3562/4000 [1:28:59<10:54,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  89%|████████▉ | 3563/4000 [1:29:01<10:50,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  89%|████████▉ | 3564/4000 [1:29:02<10:49,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  89%|████████▉ | 3565/4000 [1:29:04<10:48,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  89%|████████▉ | 3566/4000 [1:29:05<10:45,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  89%|████████▉ | 3567/4000 [1:29:07<10:43,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  89%|████████▉ | 3568/4000 [1:29:08<10:41,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  89%|████████▉ | 3569/4000 [1:29:10<10:38,  1.48s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.48s/it]
overall:  89%|████████▉ | 3570/4000 [1:29:11<10:39,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  89%|████████▉ | 3571/4000 [1:29:13<10:39,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.49s/it]
overall:  89%|████████▉ | 3572/4000 [1:29:14<10:39,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  89%|████████▉ | 3573/4000 [1:29:16<10:36,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.49s/it]
overall:  89%|████████▉ | 3574/4000 [1:29:17<10:33,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  89%|████████▉ | 3575/4000 [1:29:19<10:31,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.48s/it]
overall:  89%|████████▉ | 3576/4000 [1:29:20<10:29,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  89%|████████▉ | 3577/4000 [1:29:22<10:29,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:38<00:17,  1.49s/it]
overall:  89%|████████▉ | 3578/4000 [1:29:23<10:28,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  89%|████████▉ | 3579/4000 [1:29:25<10:26,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  90%|████████▉ | 3580/4000 [1:29:26<10:24,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  90%|████████▉ | 3581/4000 [1:29:28<10:24,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  90%|████████▉ | 3582/4000 [1:29:29<10:22,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  90%|████████▉ | 3583/4000 [1:29:31<10:19,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  90%|████████▉ | 3584/4000 [1:29:32<10:19,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  90%|████████▉ | 3585/4000 [1:29:34<10:16,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  90%|████████▉ | 3586/4000 [1:29:35<10:15,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  90%|████████▉ | 3587/4000 [1:29:36<10:14,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  90%|████████▉ | 3588/4000 [1:29:38<10:13,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  90%|████████▉ | 3589/4000 [1:29:39<09:47,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.721620798110962
train acc: 0.4028339982032776
train loss: 1.7588493824005127
train acc: 0.4059999883174896
train loss: 1.6913692951202393
train acc: 0.45399999618530273


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  90%|████████▉ | 3590/4000 [1:29:42<11:57,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.36s/it]
overall:  90%|████████▉ | 3591/4000 [1:29:43<11:23,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.85s/it]
overall:  90%|████████▉ | 3592/4000 [1:29:45<10:59,  1.62s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  90%|████████▉ | 3593/4000 [1:29:46<10:42,  1.58s/it]

train:  11%|█         | 4/37 [00:06<00:53,  1.61s/it]
overall:  90%|████████▉ | 3594/4000 [1:29:48<10:29,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:50,  1.56s/it]
overall:  90%|████████▉ | 3595/4000 [1:29:49<10:19,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.54s/it]
overall:  90%|████████▉ | 3596/4000 [1:29:51<10:13,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  90%|████████▉ | 3597/4000 [1:29:52<10:09,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  90%|████████▉ | 3598/4000 [1:29:54<10:05,  1.51s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.51s/it]
overall:  90%|████████▉ | 3599/4000 [1:29:55<10:00,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  90%|█████████ | 3600/4000 [1:29:57<09:56,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  90%|█████████ | 3601/4000 [1:29:58<09:53,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  90%|█████████ | 3602/4000 [1:30:00<09:51,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  90%|█████████ | 3603/4000 [1:30:01<09:48,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.48s/it]
overall:  90%|█████████ | 3604/4000 [1:30:03<09:46,  1.48s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.48s/it]
overall:  90%|█████████ | 3605/4000 [1:30:04<09:45,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  90%|█████████ | 3606/4000 [1:30:06<09:43,  1.48s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.48s/it]
overall:  90%|█████████ | 3607/4000 [1:30:07<09:41,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  90%|█████████ | 3608/4000 [1:30:08<09:40,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  90%|█████████ | 3609/4000 [1:30:10<09:38,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  90%|█████████ | 3610/4000 [1:30:11<09:37,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.48s/it]
overall:  90%|█████████ | 3611/4000 [1:30:13<09:37,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  90%|█████████ | 3612/4000 [1:30:14<09:37,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:  90%|█████████ | 3613/4000 [1:30:16<09:35,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  90%|█████████ | 3614/4000 [1:30:17<09:33,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  90%|█████████ | 3615/4000 [1:30:19<09:31,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  90%|█████████ | 3616/4000 [1:30:20<09:29,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  90%|█████████ | 3617/4000 [1:30:22<09:27,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  90%|█████████ | 3618/4000 [1:30:23<09:25,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  90%|█████████ | 3619/4000 [1:30:25<09:24,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  90%|█████████ | 3620/4000 [1:30:26<09:22,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  91%|█████████ | 3621/4000 [1:30:28<09:21,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  91%|█████████ | 3622/4000 [1:30:29<09:21,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  91%|█████████ | 3623/4000 [1:30:31<09:19,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  91%|█████████ | 3624/4000 [1:30:32<09:18,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  91%|█████████ | 3625/4000 [1:30:34<09:17,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  91%|█████████ | 3626/4000 [1:30:35<08:53,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.6751598119735718
train acc: 0.4301619529724121
train loss: 1.6869518756866455
train acc: 0.41499999165534973
train loss: 1.7340644598007202
train acc: 0.4339999854564667
train loss: 1.7116641998291016
train acc: 0.4339999854564667


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  91%|█████████ | 3627/4000 [1:30:37<10:30,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  91%|█████████ | 3628/4000 [1:30:39<10:03,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  91%|█████████ | 3629/4000 [1:30:40<09:45,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  91%|█████████ | 3630/4000 [1:30:42<09:31,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  91%|█████████ | 3631/4000 [1:30:43<09:20,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  91%|█████████ | 3632/4000 [1:30:45<09:14,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  91%|█████████ | 3633/4000 [1:30:46<09:09,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.50s/it]
overall:  91%|█████████ | 3634/4000 [1:30:48<09:07,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  91%|█████████ | 3635/4000 [1:30:49<09:06,  1.50s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.50s/it]
overall:  91%|█████████ | 3636/4000 [1:30:51<09:03,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  91%|█████████ | 3637/4000 [1:30:52<09:02,  1.49s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.49s/it]
overall:  91%|█████████ | 3638/4000 [1:30:54<09:00,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  91%|█████████ | 3639/4000 [1:30:55<09:01,  1.50s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.50s/it]
overall:  91%|█████████ | 3640/4000 [1:30:57<08:58,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  91%|█████████ | 3641/4000 [1:30:58<08:57,  1.50s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.50s/it]
overall:  91%|█████████ | 3642/4000 [1:31:00<08:55,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  91%|█████████ | 3643/4000 [1:31:01<08:51,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  91%|█████████ | 3644/4000 [1:31:03<08:49,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  91%|█████████ | 3645/4000 [1:31:04<08:49,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  91%|█████████ | 3646/4000 [1:31:06<08:46,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  91%|█████████ | 3647/4000 [1:31:07<08:45,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  91%|█████████ | 3648/4000 [1:31:09<08:43,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  91%|█████████ | 3649/4000 [1:31:10<08:41,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  91%|█████████▏| 3650/4000 [1:31:11<08:41,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  91%|█████████▏| 3651/4000 [1:31:13<08:42,  1.50s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.50s/it]
overall:  91%|█████████▏| 3652/4000 [1:31:14<08:39,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  91%|█████████▏| 3653/4000 [1:31:16<08:38,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  91%|█████████▏| 3654/4000 [1:31:17<08:37,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  91%|█████████▏| 3655/4000 [1:31:19<08:34,  1.49s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.49s/it]
overall:  91%|█████████▏| 3656/4000 [1:31:20<08:32,  1.49s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.49s/it]
overall:  91%|█████████▏| 3657/4000 [1:31:22<08:31,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  91%|█████████▏| 3658/4000 [1:31:23<08:28,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall:  91%|█████████▏| 3659/4000 [1:31:25<08:26,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  92%|█████████▏| 3660/4000 [1:31:26<08:24,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  92%|█████████▏| 3661/4000 [1:31:28<08:22,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  92%|█████████▏| 3662/4000 [1:31:29<08:20,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  92%|█████████▏| 3663/4000 [1:31:31<08:00,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7127959728240967
train acc: 0.43319839239120483
train loss: 1.7211192846298218
train acc: 0.42399999499320984
train loss: 1.6931869983673096
train acc: 0.4259999990463257
train loss: 1.7006404399871826
train acc: 0.43799999356269836


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  92%|█████████▏| 3664/4000 [1:31:33<09:27,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  92%|█████████▏| 3665/4000 [1:31:34<09:04,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.77s/it]
overall:  92%|█████████▏| 3666/4000 [1:31:36<08:45,  1.57s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  92%|█████████▏| 3667/4000 [1:31:37<08:33,  1.54s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.56s/it]
overall:  92%|█████████▏| 3668/4000 [1:31:39<08:23,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  92%|█████████▏| 3669/4000 [1:31:40<08:16,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.50s/it]
overall:  92%|█████████▏| 3670/4000 [1:31:42<08:13,  1.49s/it]

train:  19%|█▉        | 7/37 [00:10<00:44,  1.50s/it]
overall:  92%|█████████▏| 3671/4000 [1:31:43<08:09,  1.49s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.49s/it]
overall:  92%|█████████▏| 3672/4000 [1:31:45<08:08,  1.49s/it]

train:  24%|██▍       | 9/37 [00:13<00:41,  1.49s/it]
overall:  92%|█████████▏| 3673/4000 [1:31:46<08:07,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  92%|█████████▏| 3674/4000 [1:31:48<08:07,  1.50s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.50s/it]
overall:  92%|█████████▏| 3675/4000 [1:31:49<08:06,  1.50s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.50s/it]
overall:  92%|█████████▏| 3676/4000 [1:31:51<08:07,  1.50s/it]

train:  35%|███▌      | 13/37 [00:19<00:36,  1.50s/it]
overall:  92%|█████████▏| 3677/4000 [1:31:52<08:03,  1.50s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.50s/it]
overall:  92%|█████████▏| 3678/4000 [1:31:54<08:00,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  92%|█████████▏| 3679/4000 [1:31:55<07:57,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  92%|█████████▏| 3680/4000 [1:31:57<07:57,  1.49s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.49s/it]
overall:  92%|█████████▏| 3681/4000 [1:31:58<07:54,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  92%|█████████▏| 3682/4000 [1:32:00<07:52,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.49s/it]
overall:  92%|█████████▏| 3683/4000 [1:32:01<07:52,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  92%|█████████▏| 3684/4000 [1:32:03<07:51,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  92%|█████████▏| 3685/4000 [1:32:04<07:48,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  92%|█████████▏| 3686/4000 [1:32:06<07:47,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  92%|█████████▏| 3687/4000 [1:32:07<07:46,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  92%|█████████▏| 3688/4000 [1:32:09<07:45,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  92%|█████████▏| 3689/4000 [1:32:10<07:42,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  92%|█████████▏| 3690/4000 [1:32:12<07:42,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  92%|█████████▏| 3691/4000 [1:32:13<07:44,  1.50s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.50s/it]
overall:  92%|█████████▏| 3692/4000 [1:32:15<07:43,  1.50s/it]

train:  78%|███████▊  | 29/37 [00:43<00:12,  1.50s/it]
overall:  92%|█████████▏| 3693/4000 [1:32:16<07:41,  1.50s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.50s/it]
overall:  92%|█████████▏| 3694/4000 [1:32:18<07:38,  1.50s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.50s/it]
overall:  92%|█████████▏| 3695/4000 [1:32:19<07:36,  1.50s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.50s/it]
overall:  92%|█████████▏| 3696/4000 [1:32:21<07:34,  1.50s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.50s/it]
overall:  92%|█████████▏| 3697/4000 [1:32:22<07:32,  1.49s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.49s/it]
overall:  92%|█████████▏| 3698/4000 [1:32:24<07:30,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  92%|█████████▏| 3699/4000 [1:32:25<07:28,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  92%|█████████▎| 3700/4000 [1:32:26<07:10,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.7460310459136963
train acc: 0.4048582911491394
train loss: 1.655320405960083
train acc: 0.4449999928474426
train loss: 1.7162210941314697
train acc: 0.4269999861717224
train loss: 1.7208452224731445
train acc: 0.42510122060775757


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  93%|█████████▎| 3701/4000 [1:32:29<08:43,  1.75s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.36s/it]
overall:  93%|█████████▎| 3702/4000 [1:32:30<08:17,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  93%|█████████▎| 3703/4000 [1:32:32<07:59,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:57,  1.68s/it]
overall:  93%|█████████▎| 3704/4000 [1:32:33<07:45,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  93%|█████████▎| 3705/4000 [1:32:35<07:37,  1.55s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  93%|█████████▎| 3706/4000 [1:32:36<07:29,  1.53s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  93%|█████████▎| 3707/4000 [1:32:38<07:23,  1.52s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.52s/it]
overall:  93%|█████████▎| 3708/4000 [1:32:39<07:20,  1.51s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.51s/it]
overall:  93%|█████████▎| 3709/4000 [1:32:41<07:16,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:42,  1.50s/it]
overall:  93%|█████████▎| 3710/4000 [1:32:42<07:13,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  93%|█████████▎| 3711/4000 [1:32:44<07:10,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  93%|█████████▎| 3712/4000 [1:32:45<07:08,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  93%|█████████▎| 3713/4000 [1:32:47<07:07,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  93%|█████████▎| 3714/4000 [1:32:48<07:05,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  93%|█████████▎| 3715/4000 [1:32:50<07:03,  1.48s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.48s/it]
overall:  93%|█████████▎| 3716/4000 [1:32:51<07:00,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  93%|█████████▎| 3717/4000 [1:32:53<06:59,  1.48s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.48s/it]
overall:  93%|█████████▎| 3718/4000 [1:32:54<06:57,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  93%|█████████▎| 3719/4000 [1:32:56<06:56,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  93%|█████████▎| 3720/4000 [1:32:57<06:54,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  93%|█████████▎| 3721/4000 [1:32:58<06:53,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.48s/it]
overall:  93%|█████████▎| 3722/4000 [1:33:00<06:51,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  93%|█████████▎| 3723/4000 [1:33:01<06:51,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  93%|█████████▎| 3724/4000 [1:33:03<06:49,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  93%|█████████▎| 3725/4000 [1:33:04<06:51,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  93%|█████████▎| 3726/4000 [1:33:06<06:48,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  93%|█████████▎| 3727/4000 [1:33:07<06:45,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  93%|█████████▎| 3728/4000 [1:33:09<06:43,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  93%|█████████▎| 3729/4000 [1:33:10<06:41,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  93%|█████████▎| 3730/4000 [1:33:12<06:39,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  93%|█████████▎| 3731/4000 [1:33:13<06:41,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall:  93%|█████████▎| 3732/4000 [1:33:15<06:37,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  93%|█████████▎| 3733/4000 [1:33:16<06:35,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  93%|█████████▎| 3734/4000 [1:33:18<06:33,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  93%|█████████▎| 3735/4000 [1:33:19<06:32,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  93%|█████████▎| 3736/4000 [1:33:21<06:30,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  93%|█████████▎| 3737/4000 [1:33:22<06:14,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.734880805015564
train acc: 0.39800000190734863
train loss: 1.698269248008728
train acc: 0.43299999833106995
train loss: 1.7160638570785522
train acc: 0.4399999976158142


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  93%|█████████▎| 3738/4000 [1:33:24<07:22,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.19s/it]
overall:  93%|█████████▎| 3739/4000 [1:33:26<07:03,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.76s/it]
overall:  94%|█████████▎| 3740/4000 [1:33:27<06:50,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  94%|█████████▎| 3741/4000 [1:33:29<06:41,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  94%|█████████▎| 3742/4000 [1:33:30<06:34,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  94%|█████████▎| 3743/4000 [1:33:32<06:28,  1.51s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  94%|█████████▎| 3744/4000 [1:33:33<06:24,  1.50s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  94%|█████████▎| 3745/4000 [1:33:35<06:21,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  94%|█████████▎| 3746/4000 [1:33:36<06:20,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  94%|█████████▎| 3747/4000 [1:33:38<06:18,  1.50s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.50s/it]
overall:  94%|█████████▎| 3748/4000 [1:33:39<06:16,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  94%|█████████▎| 3749/4000 [1:33:41<06:14,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  94%|█████████▍| 3750/4000 [1:33:42<06:13,  1.50s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.50s/it]
overall:  94%|█████████▍| 3751/4000 [1:33:44<06:11,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  94%|█████████▍| 3752/4000 [1:33:45<06:09,  1.49s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.49s/it]
overall:  94%|█████████▍| 3753/4000 [1:33:47<06:06,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  94%|█████████▍| 3754/4000 [1:33:48<06:05,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  94%|█████████▍| 3755/4000 [1:33:50<06:03,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  94%|█████████▍| 3756/4000 [1:33:51<06:01,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  94%|█████████▍| 3757/4000 [1:33:53<06:00,  1.49s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.49s/it]
overall:  94%|█████████▍| 3758/4000 [1:33:54<05:59,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  94%|█████████▍| 3759/4000 [1:33:56<05:58,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  94%|█████████▍| 3760/4000 [1:33:57<05:56,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.49s/it]
overall:  94%|█████████▍| 3761/4000 [1:33:58<05:54,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  94%|█████████▍| 3762/4000 [1:34:00<05:54,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  94%|█████████▍| 3763/4000 [1:34:01<05:52,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  94%|█████████▍| 3764/4000 [1:34:03<05:50,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  94%|█████████▍| 3765/4000 [1:34:04<05:48,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  94%|█████████▍| 3766/4000 [1:34:06<05:46,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  94%|█████████▍| 3767/4000 [1:34:07<05:45,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  94%|█████████▍| 3768/4000 [1:34:09<05:43,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  94%|█████████▍| 3769/4000 [1:34:10<05:42,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  94%|█████████▍| 3770/4000 [1:34:12<05:41,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  94%|█████████▍| 3771/4000 [1:34:13<05:39,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  94%|█████████▍| 3772/4000 [1:34:15<05:39,  1.49s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.49s/it]
overall:  94%|█████████▍| 3773/4000 [1:34:16<05:37,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  94%|█████████▍| 3774/4000 [1:34:18<05:23,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.6805057525634766
train acc: 0.44635626673698425
train loss: 1.697320580482483
train acc: 0.4320000112056732
train loss: 1.6937881708145142
train acc: 0.43799999356269836
train loss: 1.732686996459961
train acc: 0.40299999713897705


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  94%|█████████▍| 3775/4000 [1:34:20<06:31,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:24,  2.34s/it]
overall:  94%|█████████▍| 3776/4000 [1:34:22<06:10,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.82s/it]
overall:  94%|█████████▍| 3777/4000 [1:34:23<05:55,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  94%|█████████▍| 3778/4000 [1:34:24<05:45,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  94%|█████████▍| 3779/4000 [1:34:26<05:38,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  94%|█████████▍| 3780/4000 [1:34:27<05:33,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  95%|█████████▍| 3781/4000 [1:34:29<05:29,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  95%|█████████▍| 3782/4000 [1:34:30<05:26,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  95%|█████████▍| 3783/4000 [1:34:32<05:24,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  95%|█████████▍| 3784/4000 [1:34:33<05:22,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  95%|█████████▍| 3785/4000 [1:34:35<05:21,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  95%|█████████▍| 3786/4000 [1:34:36<05:19,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  95%|█████████▍| 3787/4000 [1:34:38<05:18,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  95%|█████████▍| 3788/4000 [1:34:39<05:16,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  95%|█████████▍| 3789/4000 [1:34:41<05:14,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  95%|█████████▍| 3790/4000 [1:34:42<05:12,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  95%|█████████▍| 3791/4000 [1:34:44<05:11,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  95%|█████████▍| 3792/4000 [1:34:45<05:10,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  95%|█████████▍| 3793/4000 [1:34:47<05:09,  1.50s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.50s/it]
overall:  95%|█████████▍| 3794/4000 [1:34:48<05:08,  1.50s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.50s/it]
overall:  95%|█████████▍| 3795/4000 [1:34:50<05:06,  1.50s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.50s/it]
overall:  95%|█████████▍| 3796/4000 [1:34:51<05:04,  1.49s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.49s/it]
overall:  95%|█████████▍| 3797/4000 [1:34:53<05:02,  1.49s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.49s/it]
overall:  95%|█████████▍| 3798/4000 [1:34:54<05:01,  1.49s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.49s/it]
overall:  95%|█████████▍| 3799/4000 [1:34:56<04:59,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  95%|█████████▌| 3800/4000 [1:34:57<04:58,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  95%|█████████▌| 3801/4000 [1:34:59<04:56,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  95%|█████████▌| 3802/4000 [1:35:00<04:54,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall:  95%|█████████▌| 3803/4000 [1:35:02<04:52,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  95%|█████████▌| 3804/4000 [1:35:03<04:50,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  95%|█████████▌| 3805/4000 [1:35:05<04:48,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  95%|█████████▌| 3806/4000 [1:35:06<04:47,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  95%|█████████▌| 3807/4000 [1:35:08<04:46,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  95%|█████████▌| 3808/4000 [1:35:09<04:44,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  95%|█████████▌| 3809/4000 [1:35:11<04:43,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  95%|█████████▌| 3810/4000 [1:35:12<04:41,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  95%|█████████▌| 3811/4000 [1:35:13<04:29,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.758057951927185
train acc: 0.42206478118896484
train loss: 1.7194896936416626
train acc: 0.4129999876022339
train loss: 1.692294716835022
train acc: 0.4189999997615814
train loss: 1.6637119054794312
train acc: 0.44699999690055847


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  95%|█████████▌| 3812/4000 [1:35:16<05:26,  1.74s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.33s/it]
overall:  95%|█████████▌| 3813/4000 [1:35:17<05:11,  1.67s/it]

train:   5%|▌         | 2/37 [00:03<01:04,  1.84s/it]
overall:  95%|█████████▌| 3814/4000 [1:35:19<04:59,  1.61s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.68s/it]
overall:  95%|█████████▌| 3815/4000 [1:35:20<04:50,  1.57s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.60s/it]
overall:  95%|█████████▌| 3816/4000 [1:35:22<04:44,  1.54s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.56s/it]
overall:  95%|█████████▌| 3817/4000 [1:35:23<04:38,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.53s/it]
overall:  95%|█████████▌| 3818/4000 [1:35:25<04:34,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  95%|█████████▌| 3819/4000 [1:35:26<04:31,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  96%|█████████▌| 3820/4000 [1:35:28<04:29,  1.50s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.50s/it]
overall:  96%|█████████▌| 3821/4000 [1:35:29<04:26,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  96%|█████████▌| 3822/4000 [1:35:31<04:25,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  96%|█████████▌| 3823/4000 [1:35:32<04:23,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  96%|█████████▌| 3824/4000 [1:35:34<04:23,  1.50s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.50s/it]
overall:  96%|█████████▌| 3825/4000 [1:35:35<04:21,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  96%|█████████▌| 3826/4000 [1:35:37<04:19,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  96%|█████████▌| 3827/4000 [1:35:38<04:17,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  96%|█████████▌| 3828/4000 [1:35:40<04:15,  1.48s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.48s/it]
overall:  96%|█████████▌| 3829/4000 [1:35:41<04:13,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  96%|█████████▌| 3830/4000 [1:35:42<04:11,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.48s/it]
overall:  96%|█████████▌| 3831/4000 [1:35:44<04:10,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  96%|█████████▌| 3832/4000 [1:35:45<04:08,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall:  96%|█████████▌| 3833/4000 [1:35:47<04:07,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  96%|█████████▌| 3834/4000 [1:35:48<04:05,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  96%|█████████▌| 3835/4000 [1:35:50<04:04,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  96%|█████████▌| 3836/4000 [1:35:51<04:03,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  96%|█████████▌| 3837/4000 [1:35:53<04:01,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  96%|█████████▌| 3838/4000 [1:35:54<04:00,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  96%|█████████▌| 3839/4000 [1:35:56<03:58,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  96%|█████████▌| 3840/4000 [1:35:57<03:57,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  96%|█████████▌| 3841/4000 [1:35:59<03:55,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  96%|█████████▌| 3842/4000 [1:36:00<03:53,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  96%|█████████▌| 3843/4000 [1:36:02<03:52,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  96%|█████████▌| 3844/4000 [1:36:03<03:50,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  96%|█████████▌| 3845/4000 [1:36:05<03:49,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  96%|█████████▌| 3846/4000 [1:36:06<03:47,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  96%|█████████▌| 3847/4000 [1:36:08<03:46,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  96%|█████████▌| 3848/4000 [1:36:09<03:36,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.6721223592758179
train acc: 0.44331982731819153
train loss: 1.685564398765564
train acc: 0.43799999356269836
train loss: 1.7011239528656006
train acc: 0.42899999022483826


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  96%|█████████▌| 3849/4000 [1:36:11<04:21,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  96%|█████████▋| 3850/4000 [1:36:13<04:08,  1.66s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.83s/it]
overall:  96%|█████████▋| 3851/4000 [1:36:14<03:57,  1.60s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.66s/it]
overall:  96%|█████████▋| 3852/4000 [1:36:16<03:50,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  96%|█████████▋| 3853/4000 [1:36:17<03:43,  1.52s/it]

train:  14%|█▎        | 5/37 [00:08<00:48,  1.53s/it]
overall:  96%|█████████▋| 3854/4000 [1:36:19<03:39,  1.50s/it]

train:  16%|█▌        | 6/37 [00:09<00:46,  1.51s/it]
overall:  96%|█████████▋| 3855/4000 [1:36:20<03:35,  1.49s/it]

train:  19%|█▉        | 7/37 [00:11<00:44,  1.49s/it]
overall:  96%|█████████▋| 3856/4000 [1:36:22<03:33,  1.48s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.48s/it]
overall:  96%|█████████▋| 3857/4000 [1:36:23<03:33,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.49s/it]
overall:  96%|█████████▋| 3858/4000 [1:36:25<03:32,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  96%|█████████▋| 3859/4000 [1:36:26<03:30,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  96%|█████████▋| 3860/4000 [1:36:28<03:28,  1.49s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.49s/it]
overall:  97%|█████████▋| 3861/4000 [1:36:29<03:27,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  97%|█████████▋| 3862/4000 [1:36:31<03:33,  1.55s/it]

train:  38%|███▊      | 14/37 [00:21<00:35,  1.55s/it]
overall:  97%|█████████▋| 3863/4000 [1:36:32<03:29,  1.53s/it]

train:  41%|████      | 15/37 [00:23<00:33,  1.53s/it]
overall:  97%|█████████▋| 3864/4000 [1:36:34<03:25,  1.51s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.51s/it]
overall:  97%|█████████▋| 3865/4000 [1:36:35<03:23,  1.50s/it]

train:  46%|████▌     | 17/37 [00:26<00:30,  1.50s/it]
overall:  97%|█████████▋| 3866/4000 [1:36:37<03:20,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  97%|█████████▋| 3867/4000 [1:36:38<03:17,  1.49s/it]

train:  51%|█████▏    | 19/37 [00:29<00:26,  1.49s/it]
overall:  97%|█████████▋| 3868/4000 [1:36:40<03:15,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  97%|█████████▋| 3869/4000 [1:36:41<03:14,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:32<00:23,  1.48s/it]
overall:  97%|█████████▋| 3870/4000 [1:36:43<03:12,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  97%|█████████▋| 3871/4000 [1:36:44<03:11,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:35<00:20,  1.48s/it]
overall:  97%|█████████▋| 3872/4000 [1:36:46<03:09,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  97%|█████████▋| 3873/4000 [1:36:47<03:08,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  97%|█████████▋| 3874/4000 [1:36:49<03:07,  1.49s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.49s/it]
overall:  97%|█████████▋| 3875/4000 [1:36:50<03:05,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall:  97%|█████████▋| 3876/4000 [1:36:52<03:04,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  97%|█████████▋| 3877/4000 [1:36:53<03:02,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  97%|█████████▋| 3878/4000 [1:36:54<03:00,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  97%|█████████▋| 3879/4000 [1:36:56<02:59,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  97%|█████████▋| 3880/4000 [1:36:57<02:57,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  97%|█████████▋| 3881/4000 [1:36:59<02:56,  1.49s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.49s/it]
overall:  97%|█████████▋| 3882/4000 [1:37:00<02:55,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  97%|█████████▋| 3883/4000 [1:37:02<02:53,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  97%|█████████▋| 3884/4000 [1:37:03<02:52,  1.49s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.49s/it]
overall:  97%|█████████▋| 3885/4000 [1:37:05<02:44,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.51s/it]
train loss: 1.7666511535644531
train acc: 0.3947368562221527
train loss: 1.6970932483673096
train acc: 0.44200000166893005
train loss: 1.6939398050308228
train acc: 0.421999990940094
train loss: 1.7283477783203125
train acc: 0.4269999861717224


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  97%|█████████▋| 3886/4000 [1:37:07<03:13,  1.69s/it]

train:   3%|▎         | 1/37 [00:02<01:18,  2.18s/it]
overall:  97%|█████████▋| 3887/4000 [1:37:08<03:03,  1.62s/it]

train:   5%|▌         | 2/37 [00:03<01:01,  1.75s/it]
overall:  97%|█████████▋| 3888/4000 [1:37:10<02:57,  1.58s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.63s/it]
overall:  97%|█████████▋| 3889/4000 [1:37:11<02:51,  1.55s/it]

train:  11%|█         | 4/37 [00:06<00:51,  1.57s/it]
overall:  97%|█████████▋| 3890/4000 [1:37:13<02:48,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.54s/it]
overall:  97%|█████████▋| 3891/4000 [1:37:14<02:45,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  97%|█████████▋| 3892/4000 [1:37:16<02:42,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  97%|█████████▋| 3893/4000 [1:37:17<02:40,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  97%|█████████▋| 3894/4000 [1:37:19<02:38,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.49s/it]
overall:  97%|█████████▋| 3895/4000 [1:37:20<02:35,  1.48s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.48s/it]
overall:  97%|█████████▋| 3896/4000 [1:37:22<02:34,  1.48s/it]

train:  30%|██▉       | 11/37 [00:16<00:38,  1.48s/it]
overall:  97%|█████████▋| 3897/4000 [1:37:23<02:32,  1.48s/it]

train:  32%|███▏      | 12/37 [00:18<00:36,  1.48s/it]
overall:  97%|█████████▋| 3898/4000 [1:37:25<02:31,  1.48s/it]

train:  35%|███▌      | 13/37 [00:19<00:35,  1.48s/it]
overall:  97%|█████████▋| 3899/4000 [1:37:26<02:29,  1.48s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.48s/it]
overall:  98%|█████████▊| 3900/4000 [1:37:28<02:28,  1.48s/it]

train:  41%|████      | 15/37 [00:22<00:32,  1.48s/it]
overall:  98%|█████████▊| 3901/4000 [1:37:29<02:26,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  98%|█████████▊| 3902/4000 [1:37:31<02:25,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  98%|█████████▊| 3903/4000 [1:37:32<02:23,  1.48s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.48s/it]
overall:  98%|█████████▊| 3904/4000 [1:37:34<02:22,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  98%|█████████▊| 3905/4000 [1:37:35<02:20,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  98%|█████████▊| 3906/4000 [1:37:37<02:18,  1.47s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.47s/it]
overall:  98%|█████████▊| 3907/4000 [1:37:38<02:17,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  98%|█████████▊| 3908/4000 [1:37:40<02:15,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  98%|█████████▊| 3909/4000 [1:37:41<02:14,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  98%|█████████▊| 3910/4000 [1:37:42<02:13,  1.48s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.48s/it]
overall:  98%|█████████▊| 3911/4000 [1:37:44<02:11,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  98%|█████████▊| 3912/4000 [1:37:45<02:10,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  98%|█████████▊| 3913/4000 [1:37:47<02:08,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  98%|█████████▊| 3914/4000 [1:37:48<02:07,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  98%|█████████▊| 3915/4000 [1:37:50<02:05,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  98%|█████████▊| 3916/4000 [1:37:51<02:04,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  98%|█████████▊| 3917/4000 [1:37:53<02:02,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  98%|█████████▊| 3918/4000 [1:37:54<02:01,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  98%|█████████▊| 3919/4000 [1:37:56<01:59,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:50<00:04,  1.48s/it]
overall:  98%|█████████▊| 3920/4000 [1:37:57<01:58,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  98%|█████████▊| 3921/4000 [1:37:59<01:56,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:53<00:01,  1.48s/it]
overall:  98%|█████████▊| 3922/4000 [1:38:00<01:50,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7300975322723389
train acc: 0.4149797558784485
train loss: 1.7021669149398804
train acc: 0.4350000023841858
train loss: 1.7009366750717163
train acc: 0.4320000112056732
train loss: 1.6904020309448242
train acc: 0.4449999928474426


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  98%|█████████▊| 3923/4000 [1:38:02<02:13,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall:  98%|█████████▊| 3924/4000 [1:38:04<02:05,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  98%|█████████▊| 3925/4000 [1:38:05<01:59,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  98%|█████████▊| 3926/4000 [1:38:07<01:55,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  98%|█████████▊| 3927/4000 [1:38:08<01:52,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  98%|█████████▊| 3928/4000 [1:38:10<01:49,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  98%|█████████▊| 3929/4000 [1:38:11<01:46,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  98%|█████████▊| 3930/4000 [1:38:13<01:44,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  98%|█████████▊| 3931/4000 [1:38:14<01:43,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.49s/it]
overall:  98%|█████████▊| 3932/4000 [1:38:16<01:41,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  98%|█████████▊| 3933/4000 [1:38:17<01:39,  1.49s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.49s/it]
overall:  98%|█████████▊| 3934/4000 [1:38:19<01:37,  1.48s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.48s/it]
overall:  98%|█████████▊| 3935/4000 [1:38:20<01:36,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  98%|█████████▊| 3936/4000 [1:38:22<01:35,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  98%|█████████▊| 3937/4000 [1:38:23<01:34,  1.49s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.49s/it]
overall:  98%|█████████▊| 3938/4000 [1:38:25<01:32,  1.49s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.49s/it]
overall:  98%|█████████▊| 3939/4000 [1:38:26<01:30,  1.49s/it]

train:  46%|████▌     | 17/37 [00:26<00:29,  1.49s/it]
overall:  98%|█████████▊| 3940/4000 [1:38:28<01:29,  1.49s/it]

train:  49%|████▊     | 18/37 [00:27<00:28,  1.49s/it]
overall:  99%|█████████▊| 3941/4000 [1:38:29<01:27,  1.48s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.48s/it]
overall:  99%|█████████▊| 3942/4000 [1:38:31<01:26,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall:  99%|█████████▊| 3943/4000 [1:38:32<01:24,  1.49s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.49s/it]
overall:  99%|█████████▊| 3944/4000 [1:38:34<01:23,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall:  99%|█████████▊| 3945/4000 [1:38:35<01:21,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall:  99%|█████████▊| 3946/4000 [1:38:37<01:20,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall:  99%|█████████▊| 3947/4000 [1:38:38<01:18,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall:  99%|█████████▊| 3948/4000 [1:38:40<01:17,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall:  99%|█████████▊| 3949/4000 [1:38:41<01:15,  1.48s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.48s/it]
overall:  99%|█████████▉| 3950/4000 [1:38:42<01:14,  1.48s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.48s/it]
overall:  99%|█████████▉| 3951/4000 [1:38:44<01:12,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall:  99%|█████████▉| 3952/4000 [1:38:45<01:10,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall:  99%|█████████▉| 3953/4000 [1:38:47<01:09,  1.48s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.48s/it]
overall:  99%|█████████▉| 3954/4000 [1:38:48<01:07,  1.48s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.48s/it]
overall:  99%|█████████▉| 3955/4000 [1:38:50<01:06,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall:  99%|█████████▉| 3956/4000 [1:38:51<01:05,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall:  99%|█████████▉| 3957/4000 [1:38:53<01:03,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall:  99%|█████████▉| 3958/4000 [1:38:54<01:02,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall:  99%|█████████▉| 3959/4000 [1:38:56<00:58,  1.42s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.42s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.7146213054656982
train acc: 0.42206478118896484
train loss: 1.7379916906356812
train acc: 0.41999998688697815
train loss: 1.7241865396499634
train acc: 0.4189999997615814


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall:  99%|█████████▉| 3960/4000 [1:38:58<01:08,  1.72s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.32s/it]
overall:  99%|█████████▉| 3961/4000 [1:38:59<01:04,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall:  99%|█████████▉| 3962/4000 [1:39:01<01:00,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:56,  1.65s/it]
overall:  99%|█████████▉| 3963/4000 [1:39:02<00:57,  1.56s/it]

train:  11%|█         | 4/37 [00:06<00:52,  1.58s/it]
overall:  99%|█████████▉| 3964/4000 [1:39:04<00:55,  1.53s/it]

train:  14%|█▎        | 5/37 [00:08<00:49,  1.55s/it]
overall:  99%|█████████▉| 3965/4000 [1:39:05<00:53,  1.52s/it]

train:  16%|█▌        | 6/37 [00:09<00:47,  1.52s/it]
overall:  99%|█████████▉| 3966/4000 [1:39:07<00:51,  1.51s/it]

train:  19%|█▉        | 7/37 [00:11<00:45,  1.51s/it]
overall:  99%|█████████▉| 3967/4000 [1:39:08<00:49,  1.50s/it]

train:  22%|██▏       | 8/37 [00:12<00:43,  1.50s/it]
overall:  99%|█████████▉| 3968/4000 [1:39:10<00:47,  1.49s/it]

train:  24%|██▍       | 9/37 [00:14<00:41,  1.49s/it]
overall:  99%|█████████▉| 3969/4000 [1:39:11<00:46,  1.49s/it]

train:  27%|██▋       | 10/37 [00:15<00:40,  1.49s/it]
overall:  99%|█████████▉| 3970/4000 [1:39:13<00:44,  1.48s/it]

train:  30%|██▉       | 11/37 [00:17<00:38,  1.48s/it]
overall:  99%|█████████▉| 3971/4000 [1:39:14<00:43,  1.48s/it]

train:  32%|███▏      | 12/37 [00:18<00:37,  1.48s/it]
overall:  99%|█████████▉| 3972/4000 [1:39:16<00:41,  1.49s/it]

train:  35%|███▌      | 13/37 [00:20<00:35,  1.49s/it]
overall:  99%|█████████▉| 3973/4000 [1:39:17<00:40,  1.49s/it]

train:  38%|███▊      | 14/37 [00:21<00:34,  1.49s/it]
overall:  99%|█████████▉| 3974/4000 [1:39:19<00:38,  1.48s/it]

train:  41%|████      | 15/37 [00:23<00:32,  1.48s/it]
overall:  99%|█████████▉| 3975/4000 [1:39:20<00:36,  1.48s/it]

train:  43%|████▎     | 16/37 [00:24<00:31,  1.48s/it]
overall:  99%|█████████▉| 3976/4000 [1:39:22<00:35,  1.48s/it]

train:  46%|████▌     | 17/37 [00:25<00:29,  1.48s/it]
overall:  99%|█████████▉| 3977/4000 [1:39:23<00:33,  1.47s/it]

train:  49%|████▊     | 18/37 [00:27<00:27,  1.47s/it]
overall:  99%|█████████▉| 3978/4000 [1:39:25<00:32,  1.47s/it]

train:  51%|█████▏    | 19/37 [00:28<00:26,  1.47s/it]
overall:  99%|█████████▉| 3979/4000 [1:39:26<00:30,  1.48s/it]

train:  54%|█████▍    | 20/37 [00:30<00:25,  1.48s/it]
overall: 100%|█████████▉| 3980/4000 [1:39:28<00:29,  1.48s/it]

train:  57%|█████▋    | 21/37 [00:31<00:23,  1.48s/it]
overall: 100%|█████████▉| 3981/4000 [1:39:29<00:28,  1.48s/it]

train:  59%|█████▉    | 22/37 [00:33<00:22,  1.48s/it]
overall: 100%|█████████▉| 3982/4000 [1:39:31<00:26,  1.48s/it]

train:  62%|██████▏   | 23/37 [00:34<00:20,  1.48s/it]
overall: 100%|█████████▉| 3983/4000 [1:39:32<00:25,  1.48s/it]

train:  65%|██████▍   | 24/37 [00:36<00:19,  1.48s/it]
overall: 100%|█████████▉| 3984/4000 [1:39:34<00:23,  1.49s/it]

train:  68%|██████▊   | 25/37 [00:37<00:17,  1.49s/it]
overall: 100%|█████████▉| 3985/4000 [1:39:35<00:22,  1.48s/it]

train:  70%|███████   | 26/37 [00:39<00:16,  1.48s/it]
overall: 100%|█████████▉| 3986/4000 [1:39:36<00:20,  1.49s/it]

train:  73%|███████▎  | 27/37 [00:40<00:14,  1.49s/it]
overall: 100%|█████████▉| 3987/4000 [1:39:38<00:19,  1.49s/it]

train:  76%|███████▌  | 28/37 [00:42<00:13,  1.49s/it]
overall: 100%|█████████▉| 3988/4000 [1:39:39<00:17,  1.48s/it]

train:  78%|███████▊  | 29/37 [00:43<00:11,  1.48s/it]
overall: 100%|█████████▉| 3989/4000 [1:39:41<00:16,  1.48s/it]

train:  81%|████████  | 30/37 [00:45<00:10,  1.48s/it]
overall: 100%|█████████▉| 3990/4000 [1:39:42<00:14,  1.49s/it]

train:  84%|████████▍ | 31/37 [00:46<00:08,  1.49s/it]
overall: 100%|█████████▉| 3991/4000 [1:39:44<00:13,  1.49s/it]

train:  86%|████████▋ | 32/37 [00:48<00:07,  1.49s/it]
overall: 100%|█████████▉| 3992/4000 [1:39:45<00:11,  1.48s/it]

train:  89%|████████▉ | 33/37 [00:49<00:05,  1.48s/it]
overall: 100%|█████████▉| 3993/4000 [1:39:47<00:10,  1.48s/it]

train:  92%|█████████▏| 34/37 [00:51<00:04,  1.48s/it]
overall: 100%|█████████▉| 3994/4000 [1:39:48<00:08,  1.48s/it]

train:  95%|█████████▍| 35/37 [00:52<00:02,  1.48s/it]
overall: 100%|█████████▉| 3995/4000 [1:39:50<00:07,  1.48s/it]

train:  97%|█████████▋| 36/37 [00:54<00:01,  1.48s/it]
overall: 100%|█████████▉| 3996/4000 [1:39:51<00:05,  1.43s/it]

train: 100%|██████████| 37/37 [00:55<00:00,  1.43s/it]
train: 100%|██████████| 37/37 [00:55<00:00,  1.50s/it]
train loss: 1.6481373310089111
train acc: 0.4412955343723297
train loss: 1.7351888418197632
train acc: 0.4259999990463257
train loss: 1.69524347782135
train acc: 0.4269999861717224
train loss: 1.6766802072525024
train acc: 0.42100000381469727


train:   0%|          | 0/37 [00:00<?, ?it/s]
overall: 100%|█████████▉| 3997/4000 [1:39:54<00:05,  1.73s/it]

train:   3%|▎         | 1/37 [00:02<01:23,  2.31s/it]
overall: 100%|█████████▉| 3998/4000 [1:39:55<00:03,  1.65s/it]

train:   5%|▌         | 2/37 [00:03<01:03,  1.81s/it]
overall: 100%|█████████▉| 3999/4000 [1:39:56<00:01,  1.59s/it]

train:   8%|▊         | 3/37 [00:05<00:55,  1.64s/it]train loss: 1.7208127975463867
train acc: 0.4261133670806885



test:   0%|          | 0/15 [00:00<?, ?it/s]


test:   7%|▋         | 1/15 [00:02<00:33,  2.38s/it]


test:  13%|█▎        | 2/15 [00:03<00:23,  1.84s/it]


test:  20%|██        | 3/15 [00:05<00:19,  1.66s/it]


test:  27%|██▋       | 4/15 [00:06<00:17,  1.57s/it]


test:  33%|███▎      | 5/15 [00:08<00:15,  1.53s/it]


test:  40%|████      | 6/15 [00:09<00:13,  1.50s/it]


test:  47%|████▋     | 7/15 [00:11<00:11,  1.49s/it]


test:  53%|█████▎    | 8/15 [00:12<00:10,  1.48s/it]


test:  60%|██████    | 9/15 [00:13<00:08,  1.47s/it]


test:  67%|██████▋   | 10/15 [00:15<00:07,  1.46s/it]


test:  73%|███████▎  | 11/15 [00:16<00:05,  1.46s/it]


test:  80%|████████  | 12/15 [00:18<00:04,  1.45s/it]


test:  87%|████████▋ | 13/15 [00:19<00:02,  1.45s/it]


test:  93%|█████████▎| 14/15 [00:21<00:01,  1.46s/it]


test: 100%|██████████| 15/15 [00:21<00:00,  1.05s/it]
test: 100%|██████████| 15/15 [00:21<00:00,  1.43s/it]

                                                              

                                                     

overall: 100%|█████████▉| 3999/4000 [1:40:19<00:01,  1.59s/it]

train:   8%|▊         | 3/37 [00:28<00:55,  1.64s/it]
                                                              

                                                     

overall: 100%|█████████▉| 3999/4000 [1:40:19<00:01,  1.59s/it]

train:   8%|▊         | 3/37 [00:28<00:55,  1.64s/it]
overall: 100%|██████████| 4000/4000 [1:40:19<00:00,  8.01s/it]

train:  11%|█         | 4/37 [00:28<05:32, 10.07s/it]
train:  11%|█         | 4/37 [00:28<03:54,  7.10s/it]

overall: 100%|██████████| 4000/4000 [1:40:20<00:00,  1.51s/it]
test loss: 1.827933669090271
test acc: 0.3893238306045532
[Runner] - Save the checkpoint to:
1. result/downstream/grid/states-4000.ckpt