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update model card README.md

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@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5037
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- - Accuracy: 0.8963
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2.722963804424848e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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: 10
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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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- | 0.7479 | 1.0 | 2440 | 0.6350 | 0.8715 |
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- | 0.6629 | 2.0 | 4880 | 0.5891 | 0.8793 |
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- | 0.6252 | 3.0 | 7320 | 0.5720 | 0.8829 |
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- | 0.5904 | 4.0 | 9760 | 0.5426 | 0.8883 |
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- | 0.5549 | 5.0 | 12200 | 0.5284 | 0.8918 |
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- | 0.5456 | 6.0 | 14640 | 0.5212 | 0.8927 |
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- | 0.5452 | 7.0 | 17080 | 0.5206 | 0.8933 |
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- | 0.5196 | 8.0 | 19520 | 0.5094 | 0.8948 |
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- | 0.5193 | 9.0 | 21960 | 0.5078 | 0.8950 |
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- | 0.5193 | 10.0 | 24400 | 0.5037 | 0.8963 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6366
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+ - Accuracy: 0.8689
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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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+ | 0.848 | 1.0 | 1220 | 0.6979 | 0.8570 |
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+ | 0.7439 | 2.0 | 2440 | 0.6510 | 0.8662 |
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+ | 0.7107 | 3.0 | 3660 | 0.6366 | 0.8689 |
 
 
 
 
 
 
 
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  ### Framework versions