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update model card README.md

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2336
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- - Precision: 0.7803
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- - Recall: 0.8207
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- - F1: 0.8
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- - Accuracy: 0.9448
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  ## Model description
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@@ -55,8 +55,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.2648 | 1.4 | 500 | 0.2297 | 0.7766 | 0.7793 | 0.7780 | 0.9408 |
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- | 0.0739 | 2.8 | 1000 | 0.2336 | 0.7803 | 0.8207 | 0.8 | 0.9448 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2052
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+ - Precision: 0.8271
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+ - Recall: 0.8414
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+ - F1: 0.8342
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+ - Accuracy: 0.9455
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1484 | 1.4 | 500 | 0.2071 | 0.7739 | 0.8379 | 0.8046 | 0.9399 |
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+ | 0.0708 | 2.8 | 1000 | 0.2052 | 0.8271 | 0.8414 | 0.8342 | 0.9455 |
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  ### Framework versions