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CodeBertaCLM

Text Generation
Transformers
PyTorch
roberta
Generated from Trainer
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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: 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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  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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  ### 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
 
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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: 0.0068
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+ - Accuracy: 0.0126
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+ - F1: 0.0126
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+ - Bleu4: 0.0363
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  ## Model description
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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: 32
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+ - eval_batch_size: 32
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Bleu4 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
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+ | 2.6008 | 1.0 | 687 | 0.0221 | 0.0173 | 0.0173 | 0.1220 |
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+ | 0.0455 | 2.0 | 1374 | 0.0171 | 0.0233 | 0.0233 | 0.1751 |
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+ | 0.0199 | 3.0 | 2061 | 0.0163 | 0.0154 | 0.0154 | 0.0993 |
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+ | 0.0119 | 4.0 | 2748 | 0.0068 | 0.0198 | 0.0198 | 0.1486 |
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+ | 0.0086 | 5.0 | 3435 | 0.0068 | 0.0126 | 0.0126 | 0.0363 |
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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