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update model card README.md

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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1471
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  - Accuracy: 0.95
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  ## Model description
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.7013 | 1.0 | 10 | 0.6046 | 0.75 |
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- | 0.528 | 2.0 | 20 | 0.4940 | 0.8 |
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- | 0.3064 | 3.0 | 30 | 0.2488 | 0.95 |
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- | 0.1146 | 4.0 | 40 | 0.1245 | 0.95 |
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- | 0.067 | 5.0 | 50 | 0.1003 | 0.9 |
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- | 0.0323 | 6.0 | 60 | 0.1148 | 0.9 |
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- | 0.0124 | 7.0 | 70 | 0.1444 | 0.95 |
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- | 0.0064 | 8.0 | 80 | 0.1579 | 0.95 |
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- | 0.0047 | 9.0 | 90 | 0.1512 | 0.95 |
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- | 0.0046 | 10.0 | 100 | 0.1471 | 0.95 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0747
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  - Accuracy: 0.95
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.7667 | 1.0 | 10 | 0.6008 | 0.8 |
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+ | 0.4889 | 2.0 | 20 | 0.4180 | 0.85 |
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+ | 0.2702 | 3.0 | 30 | 0.2567 | 0.9 |
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+ | 0.1223 | 4.0 | 40 | 0.1469 | 0.95 |
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+ | 0.0547 | 5.0 | 50 | 0.0753 | 1.0 |
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+ | 0.0279 | 6.0 | 60 | 0.0770 | 0.95 |
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+ | 0.0154 | 7.0 | 70 | 0.0955 | 0.95 |
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+ | 0.0103 | 8.0 | 80 | 0.0847 | 0.95 |
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+ | 0.0083 | 9.0 | 90 | 0.0760 | 0.95 |
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+ | 0.0077 | 10.0 | 100 | 0.0747 | 0.95 |
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  ### Framework versions