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update model card README.md

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@@ -16,10 +16,10 @@ 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](https://huggingface.co/microsoft/codebert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0002
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- - Accuracy: 0.0215
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- - F1: 0.0215
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- - Bleu4: 0.1640
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  ## Model description
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@@ -44,22 +44,21 @@ 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 | F1 | Bleu4 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
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- | 0.1044 | 1.0 | 1373 | 0.0185 | 0.0146 | 0.0146 | 0.0889 |
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- | 0.0129 | 2.0 | 2746 | 0.0070 | 0.0243 | 0.0243 | 0.1871 |
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- | 0.0031 | 3.0 | 4119 | 0.0003 | 0.0215 | 0.0215 | 0.1640 |
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- | 0.002 | 4.0 | 5492 | 0.0003 | 0.0215 | 0.0215 | 0.1640 |
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- | 0.0011 | 5.0 | 6865 | 0.0002 | 0.0215 | 0.0215 | 0.1640 |
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  ### Framework versions
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  - Transformers 4.25.1
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- - Pytorch 1.13.0+cu117
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  - Datasets 2.7.1
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  - Tokenizers 0.13.2
 
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  This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 14.6482
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+ - Accuracy: 0.0
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+ - F1: 0.0
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+ - Bleu4: 0.0592
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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: 100
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Bleu4 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:------:|
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+ | No log | 1.0 | 1 | 16.4835 | 0.0 | 0.0 | 0.1118 |
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+ | No log | 2.0 | 2 | 15.8217 | 0.0 | 0.0 | 0.0940 |
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+ | No log | 3.0 | 3 | 15.2096 | 0.0 | 0.0 | 0.0648 |
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+ | No log | 4.0 | 4 | 14.6482 | 0.0 | 0.0 | 0.0592 |
 
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  ### Framework versions
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  - Transformers 4.25.1
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+ - Pytorch 1.13.0
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  - Datasets 2.7.1
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  - Tokenizers 0.13.2