Model save
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README.md
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This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1:
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- Accuracy:
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- Precision:
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- Recall:
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## Model description
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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### Training results
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| Training Loss | Epoch
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| No log | 0
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| 0.
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### Framework versions
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This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0171
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- F1: 0.9975
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- Accuracy: 0.9975
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- Precision: 0.9975
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- Recall: 0.9975
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## Model description
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
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| No log | 0 | 0 | 0.6981 | 0.3337 | 0.5001 | 0.6162 | 0.5001 |
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| 0.0294 | 0.1420 | 1000 | 0.0398 | 0.9947 | 0.9947 | 0.9947 | 0.9947 |
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| 0.0076 | 0.2841 | 2000 | 0.0211 | 0.9968 | 0.9968 | 0.9968 | 0.9968 |
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| 0.0053 | 0.4261 | 3000 | 0.0188 | 0.9973 | 0.9973 | 0.9973 | 0.9973 |
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| 0.0056 | 0.5681 | 4000 | 0.0166 | 0.9976 | 0.9976 | 0.9976 | 0.9976 |
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| 0.0044 | 0.7101 | 5000 | 0.0172 | 0.9975 | 0.9975 | 0.9975 | 0.9975 |
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| 0.0009 | 0.8522 | 6000 | 0.0171 | 0.9975 | 0.9975 | 0.9975 | 0.9975 |
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| 0.0052 | 0.9942 | 7000 | 0.0171 | 0.9975 | 0.9975 | 0.9975 | 0.9975 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 166917412
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version https://git-lfs.github.com/spec/v1
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size 166917412
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