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update model card README.md

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@@ -16,8 +16,8 @@ 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: 0.0123
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- - Accuracy: 1.0
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  ## Model description
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@@ -42,17 +42,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.2253 | 1.0 | 100 | 0.5057 | 0.9 |
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- | 0.0269 | 2.0 | 200 | 0.7857 | 0.9 |
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- | 0.0008 | 3.0 | 300 | 0.1322 | 0.95 |
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- | 0.0003 | 4.0 | 400 | 0.0121 | 1.0 |
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- | 0.0002 | 5.0 | 500 | 0.0123 | 1.0 |
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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: 0.3776
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+ - Accuracy: 0.85
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.4438 | 1.0 | 20 | 0.5145 | 0.75 |
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+ | 0.0666 | 2.0 | 40 | 0.4066 | 0.9 |
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+ | 0.0208 | 3.0 | 60 | 0.3776 | 0.85 |
 
 
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  ### Framework versions