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Update README.md

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@@ -100,6 +100,7 @@ model = AutoModelForCausalLM.from_pretrained("supermy/poetry")
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  训练环境:英伟达16G显卡
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  bpe分词:"vocab_size"=50000
 
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  ***** Running training *****
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  Num examples = 16431
@@ -138,6 +139,7 @@ Special tokens file saved in poetry-trainer/checkpoint-5000/special_tokens_map.j
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  {'train_runtime': 287920.5857, 'train_samples_per_second': 38.806, 'train_steps_per_second': 0.201, 'train_loss': 0.33751299874592816, 'epoch': 679.99}
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  100%|██████████| 57800/57800 [79:58:40<00:00, 4.93s/it]
 
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  ```
 
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  训练环境:英伟达16G显卡
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  bpe分词:"vocab_size"=50000
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+ ```
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  ***** Running training *****
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  Num examples = 16431
 
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  {'train_runtime': 287920.5857, 'train_samples_per_second': 38.806, 'train_steps_per_second': 0.201, 'train_loss': 0.33751299874592816, 'epoch': 679.99}
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+ ```
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  ```