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update model card README.md

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  ---
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- license: apache-2.0
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -12,14 +11,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # Comment_Score_By_douban_-finetuned-financial_data
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- This model is a fine-tuned version of [hfl/chinese-bert-wwm-ext](https://huggingface.co/hfl/chinese-bert-wwm-ext) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5715
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- - Mse: 0.5715
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- - Rmse: 0.7560
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- - Mae: 0.5537
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- - R2: 0.6727
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- - Smape: 18.8637
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae | R2 | Smape |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:-------:|
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- | No log | 1.0 | 302 | 0.5715 | 0.5715 | 0.7560 | 0.5537 | 0.6727 | 18.8637 |
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- | 0.8624 | 2.0 | 604 | 0.5150 | 0.5150 | 0.7176 | 0.5264 | 0.7051 | 17.8124 |
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- | 0.8624 | 3.0 | 906 | 0.5226 | 0.5226 | 0.7229 | 0.5146 | 0.7008 | 17.4254 |
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- | 0.4267 | 4.0 | 1208 | 0.5109 | 0.5109 | 0.7148 | 0.5096 | 0.7074 | 17.1810 |
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- | 0.3149 | 5.0 | 1510 | 0.5283 | 0.5283 | 0.7269 | 0.5123 | 0.6974 | 17.1945 |
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  ### Framework versions
 
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  ---
 
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # Comment_Score_By_douban_-finetuned-financial_data
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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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+ - Loss: 0.7806
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+ - Mse: 0.7806
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+ - Rmse: 0.8835
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+ - Mae: 0.6603
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+ - R2: 0.5667
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+ - Smape: 22.5571
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Mse | Rmse | Mae | R2 | Smape |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:-------:|
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+ | No log | 1.0 | 169 | 0.7806 | 0.7806 | 0.8835 | 0.6603 | 0.5667 | 22.5571 |
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+ | No log | 2.0 | 338 | 0.6650 | 0.6650 | 0.8155 | 0.6101 | 0.6309 | 21.0106 |
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+ | 0.8495 | 3.0 | 507 | 0.6534 | 0.6534 | 0.8083 | 0.5901 | 0.6373 | 20.3481 |
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+ | 0.8495 | 4.0 | 676 | 0.6608 | 0.6608 | 0.8129 | 0.5881 | 0.6332 | 20.2336 |
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+ | 0.8495 | 5.0 | 845 | 0.6619 | 0.6619 | 0.8136 | 0.5855 | 0.6326 | 20.1610 |
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  ### Framework versions