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update model card README.md

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@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [neulab/codebert-python](https://huggingface.co/neulab/codebert-python) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1649
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  ## Model description
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@@ -38,17 +38,22 @@ 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 |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 42 | 1.5320 |
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- | No log | 2.0 | 84 | 0.5192 |
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- | No log | 3.0 | 126 | 0.2679 |
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- | No log | 4.0 | 168 | 0.1871 |
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- | No log | 5.0 | 210 | 0.1649 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [neulab/codebert-python](https://huggingface.co/neulab/codebert-python) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0151
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.9043 | 1.0 | 43 | 1.5089 |
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+ | 0.5831 | 2.0 | 86 | 0.4039 |
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+ | 0.3148 | 3.0 | 129 | 0.1510 |
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+ | 0.2251 | 4.0 | 172 | 0.0710 |
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+ | 0.0766 | 5.0 | 215 | 0.0442 |
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+ | 0.0884 | 6.0 | 258 | 0.0287 |
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+ | 0.0975 | 7.0 | 301 | 0.0210 |
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+ | 0.1113 | 8.0 | 344 | 0.0183 |
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+ | 0.0448 | 9.0 | 387 | 0.0162 |
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+ | 0.029 | 10.0 | 430 | 0.0151 |
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  ### Framework versions