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update model card README.md

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  1. README.md +13 -13
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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: 0.5290
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- - Accuracy: 0.8915
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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: 1.5976438070551606e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -47,16 +47,16 @@ 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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- | 0.7853 | 1.0 | 2440 | 0.6664 | 0.8623 |
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- | 0.6944 | 2.0 | 4880 | 0.6114 | 0.8755 |
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- | 0.655 | 3.0 | 7320 | 0.5952 | 0.8788 |
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- | 0.6223 | 4.0 | 9760 | 0.5625 | 0.8841 |
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- | 0.5873 | 5.0 | 12200 | 0.5486 | 0.8874 |
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- | 0.5801 | 6.0 | 14640 | 0.5411 | 0.8887 |
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- | 0.5817 | 7.0 | 17080 | 0.5430 | 0.8889 |
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- | 0.559 | 8.0 | 19520 | 0.5326 | 0.8899 |
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- | 0.5624 | 9.0 | 21960 | 0.5325 | 0.8903 |
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- | 0.5613 | 10.0 | 24400 | 0.5290 | 0.8915 |
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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: 0.5256
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+ - Accuracy: 0.8924
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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: 1.6938444694890367e-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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.7816 | 1.0 | 2440 | 0.6604 | 0.8650 |
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+ | 0.6888 | 2.0 | 4880 | 0.6062 | 0.8771 |
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+ | 0.6499 | 3.0 | 7320 | 0.5908 | 0.8798 |
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+ | 0.6186 | 4.0 | 9760 | 0.5603 | 0.8847 |
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+ | 0.5839 | 5.0 | 12200 | 0.5449 | 0.8884 |
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+ | 0.5767 | 6.0 | 14640 | 0.5387 | 0.8890 |
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+ | 0.5776 | 7.0 | 17080 | 0.5394 | 0.8895 |
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+ | 0.5549 | 8.0 | 19520 | 0.5292 | 0.8912 |
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+ | 0.5582 | 9.0 | 21960 | 0.5294 | 0.8908 |
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+ | 0.5566 | 10.0 | 24400 | 0.5256 | 0.8924 |
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  ### Framework versions