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Training in progress epoch 25

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  1. README.md +3 -2
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@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.7803
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  - Validation Loss: 1.4913
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  - Train Accuracy: 0.6753
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- - Epoch: 24
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  ## Model description
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@@ -68,6 +68,7 @@ The following hyperparameters were used during training:
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  | 0.7806 | 1.4913 | 0.6753 | 22 |
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  | 0.7665 | 1.4913 | 0.6753 | 23 |
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  | 0.7803 | 1.4913 | 0.6753 | 24 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.7778
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  - Validation Loss: 1.4913
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  - Train Accuracy: 0.6753
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+ - Epoch: 25
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  ## Model description
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  | 0.7806 | 1.4913 | 0.6753 | 22 |
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  | 0.7665 | 1.4913 | 0.6753 | 23 |
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  | 0.7803 | 1.4913 | 0.6753 | 24 |
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+ | 0.7778 | 1.4913 | 0.6753 | 25 |
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  ### Framework versions