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Downloading (…)lve/main/config.json: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 718/718 [00:00<00:00, 180kB/s]
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Downloading (…)"pytorch_model.bin";: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1.52G/1.52G [06:17<00:00, 4.03MB/s]
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Found cached dataset common_gen (C:/Users/Jingqian/.cache/huggingface/datasets/common_gen/default/2020.5.30/1a9e8bdc026c41ce7a9e96260debf7d2809cb7fd63fa02b017e4fac1b00c6b23)
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C:\Users\Jingqian\anaconda3\lib\site-packages\transformers\optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
  warnings.warn(
***** Running training *****
  Num examples = 4592
  Num Epochs = 5
  Instantaneous batch size per device = 8
  Total train batch size (w. parallel, distributed & accumulation) = 8
  Gradient Accumulation steps = 1
  Total optimization steps = 2870
  Number of trainable parameters = 354823168
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 20%|β–ˆβ–ˆ        | 574/2870 [03:55<15:39,  2.44it/s]***** Running Evaluation *****
  Num examples = 297
  Batch size = 8

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                                               Saving model checkpoint to gpt2-medium-finetuned-commongen\checkpoint-574
Configuration saved in gpt2-medium-finetuned-commongen\checkpoint-574\config.json
Configuration saved in gpt2-medium-finetuned-commongen\checkpoint-574\generation_config.json
{'eval_loss': 2.1204423904418945, 'eval_runtime': 4.495, 'eval_samples_per_second': 66.073, 'eval_steps_per_second': 8.454, 'epoch': 1.0}
Model weights saved in gpt2-medium-finetuned-commongen\checkpoint-574\pytorch_model.bin
 35%|β–ˆβ–ˆβ–ˆβ–      | 1000/2870 [06:59<12:28,  2.50it/s]{'loss': 2.1332, 'learning_rate': 3.2578397212543556e-05, 'epoch': 1.74}
 40%|β–ˆβ–ˆβ–ˆβ–ˆ      | 1148/2870 [07:58<11:29,  2.50it/s]***** Running Evaluation *****
  Num examples = 297
  Batch size = 8

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                                               Saving model checkpoint to gpt2-medium-finetuned-commongen\checkpoint-1148
Configuration saved in gpt2-medium-finetuned-commongen\checkpoint-1148\config.json
Configuration saved in gpt2-medium-finetuned-commongen\checkpoint-1148\generation_config.json
{'eval_loss': 2.131284475326538, 'eval_runtime': 4.5627, 'eval_samples_per_second': 65.093, 'eval_steps_per_second': 8.328, 'epoch': 2.0}
Model weights saved in gpt2-medium-finetuned-commongen\checkpoint-1148\pytorch_model.bin
 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 1500/2870 [10:29<09:09,  2.49it/s]{'loss': 1.9859, 'learning_rate': 2.3867595818815333e-05, 'epoch': 2.61}
 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 1722/2870 [11:58<07:39,  2.50it/s]***** Running Evaluation *****
  Num examples = 297
  Batch size = 8

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{'eval_loss': 2.1727805137634277, 'eval_runtime': 4.5585, 'eval_samples_per_second': 65.152, 'eval_steps_per_second': 8.336, 'epoch': 3.0}
 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 1722/2870 [12:03<07:39,  2.50it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 38/38 [00:04<00:00,  8.18it/s]
                                               Saving model checkpoint to gpt2-medium-finetuned-commongen\checkpoint-1722
Configuration saved in gpt2-medium-finetuned-commongen\checkpoint-1722\config.json
Configuration saved in gpt2-medium-finetuned-commongen\checkpoint-1722\generation_config.json
Model weights saved in gpt2-medium-finetuned-commongen\checkpoint-1722\pytorch_model.bin
 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 2000/2870 [13:59<05:47,  2.51it/s]{'loss': 1.885, 'learning_rate': 1.5156794425087109e-05, 'epoch': 3.48}
 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 2296/2870 [15:57<03:48,  2.51it/s]***** Running Evaluation *****
  Num examples = 297
  Batch size = 8

  0%|          | 0/38 [00:00<?, ?it/s]
  5%|β–Œ         | 2/38 [00:00<00:02, 14.39it/s]
 11%|β–ˆ         | 4/38 [00:00<00:03, 10.02it/s]
 16%|β–ˆβ–Œ        | 6/38 [00:00<00:03,  9.21it/s]
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 32%|β–ˆβ–ˆβ–ˆβ–      | 12/38 [00:01<00:03,  8.20it/s]
 34%|β–ˆβ–ˆβ–ˆβ–      | 13/38 [00:01<00:02,  8.34it/s]
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 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 20/38 [00:02<00:02,  8.14it/s]
 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 21/38 [00:02<00:02,  8.28it/s]
 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 22/38 [00:02<00:01,  8.15it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 23/38 [00:02<00:01,  8.29it/s]
 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 24/38 [00:02<00:01,  8.16it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 25/38 [00:02<00:01,  8.31it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 26/38 [00:03<00:01,  8.10it/s]
 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 27/38 [00:03<00:01,  8.27it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 28/38 [00:03<00:01,  8.07it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 29/38 [00:03<00:01,  8.22it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 30/38 [00:03<00:00,  8.04it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 31/38 [00:03<00:00,  8.20it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 32/38 [00:03<00:00,  8.04it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 33/38 [00:03<00:00,  8.21it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 34/38 [00:04<00:00,  8.03it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 35/38 [00:04<00:00,  8.20it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 36/38 [00:04<00:00,  8.04it/s]

{'eval_loss': 2.2184627056121826, 'eval_runtime': 4.5511, 'eval_samples_per_second': 65.259, 'eval_steps_per_second': 8.35, 'epoch': 4.0}
 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 2296/2870 [16:01<03:48,  2.51it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 38/38 [00:04<00:00,  8.20it/s]
                                               Saving model checkpoint to gpt2-medium-finetuned-commongen\checkpoint-2296
Configuration saved in gpt2-medium-finetuned-commongen\checkpoint-2296\config.json
Configuration saved in gpt2-medium-finetuned-commongen\checkpoint-2296\generation_config.json
Model weights saved in gpt2-medium-finetuned-commongen\checkpoint-2296\pytorch_model.bin
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 2500/2870 [17:28<02:28,  2.50it/s]{'loss': 1.8157, 'learning_rate': 6.445993031358885e-06, 'epoch': 4.36}
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 2870/2870 [19:56<00:00,  2.49it/s]***** Running Evaluation *****
  Num examples = 297
  Batch size = 8

  0%|          | 0/38 [00:00<?, ?it/s]
  5%|β–Œ         | 2/38 [00:00<00:02, 14.49it/s]
 11%|β–ˆ         | 4/38 [00:00<00:03, 10.04it/s]
 16%|β–ˆβ–Œ        | 6/38 [00:00<00:03,  9.32it/s]
 18%|β–ˆβ–Š        | 7/38 [00:00<00:03,  9.08it/s]
 21%|β–ˆβ–ˆ        | 8/38 [00:00<00:03,  8.63it/s]
 24%|β–ˆβ–ˆβ–Ž       | 9/38 [00:00<00:03,  8.63it/s]
 26%|β–ˆβ–ˆβ–‹       | 10/38 [00:01<00:03,  8.33it/s]
 29%|β–ˆβ–ˆβ–‰       | 11/38 [00:01<00:03,  8.41it/s]
 32%|β–ˆβ–ˆβ–ˆβ–      | 12/38 [00:01<00:03,  8.19it/s]
 34%|β–ˆβ–ˆβ–ˆβ–      | 13/38 [00:01<00:03,  8.31it/s]
 37%|β–ˆβ–ˆβ–ˆβ–‹      | 14/38 [00:01<00:02,  8.12it/s]
 39%|β–ˆβ–ˆβ–ˆβ–‰      | 15/38 [00:01<00:02,  8.26it/s]
 42%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 16/38 [00:01<00:02,  8.08it/s]
 45%|β–ˆβ–ˆβ–ˆβ–ˆβ–     | 17/38 [00:01<00:02,  8.24it/s]
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 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ     | 19/38 [00:02<00:02,  8.22it/s]
 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž    | 20/38 [00:02<00:02,  8.04it/s]
 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ    | 21/38 [00:02<00:02,  8.20it/s]
 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š    | 22/38 [00:02<00:01,  8.02it/s]
 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 23/38 [00:02<00:01,  8.19it/s]
 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 24/38 [00:02<00:01,  8.17it/s]
 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 25/38 [00:02<00:01,  8.18it/s]
 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 26/38 [00:03<00:01,  8.03it/s]
 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 27/38 [00:03<00:01,  8.18it/s]
 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 28/38 [00:03<00:01,  8.03it/s]
 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 29/38 [00:03<00:01,  8.20it/s]
 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 30/38 [00:03<00:00,  8.18it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 31/38 [00:03<00:00,  8.18it/s]
 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 32/38 [00:03<00:00,  8.01it/s]
 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 33/38 [00:03<00:00,  8.16it/s]
 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 34/38 [00:04<00:00,  8.02it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 35/38 [00:04<00:00,  8.19it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 36/38 [00:04<00:00,  8.03it/s]

{'eval_loss': 2.2336463928222656, 'eval_runtime': 4.5651, 'eval_samples_per_second': 65.059, 'eval_steps_per_second': 8.324, 'epoch': 5.0}
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 2870/2870 [20:01<00:00,  2.49it/s]
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 38/38 [00:04<00:00,  8.20it/s]
                                               Saving model checkpoint to gpt2-medium-finetuned-commongen\checkpoint-2870
Configuration saved in gpt2-medium-finetuned-commongen\checkpoint-2870\config.json
Configuration saved in gpt2-medium-finetuned-commongen\checkpoint-2870\generation_config.json
Model weights saved in gpt2-medium-finetuned-commongen\checkpoint-2870\pytorch_model.bin


Training completed. Do not forget to share your model on huggingface.co/models =)


Loading best model from gpt2-medium-finetuned-commongen\checkpoint-574 (score: 2.1204423904418945).
{'train_runtime': 1208.3557, 'train_samples_per_second': 19.001, 'train_steps_per_second': 2.375, 'train_loss': 2.0178993145347888, 'epoch': 5.0}
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 2870/2870 [20:08<00:00,  2.38it/s]
Saving model checkpoint to gpt2-medium-finetuned-commongen
Configuration saved in gpt2-medium-finetuned-commongen\config.json
Configuration saved in gpt2-medium-finetuned-commongen\generation_config.json
Model weights saved in gpt2-medium-finetuned-commongen\pytorch_model.bin