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End of training
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README.md
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This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.0+cu118
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- Datasets 2.
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- Tokenizers 0.
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This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.6895
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| 8.1473 | 0.05 | 500 | 7.4270 |
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| 6.9372 | 0.1 | 1000 | 6.9409 |
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| 6.167 | 0.15 | 1500 | 6.6749 |
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| 7.9745 | 0.2 | 2000 | 6.4053 |
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| 7.2576 | 0.25 | 2500 | 6.2217 |
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| 6.451 | 0.3 | 3000 | 6.0992 |
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| 6.3218 | 0.35 | 3500 | 6.0231 |
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| 6.3115 | 0.4 | 4000 | 6.0302 |
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| 6.6343 | 0.45 | 4500 | 5.8745 |
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| 6.1515 | 0.5 | 5000 | 5.8281 |
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| 6.3992 | 0.55 | 5500 | 5.7614 |
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| 6.8421 | 0.6 | 6000 | 5.8745 |
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| 6.0542 | 0.65 | 6500 | 5.7452 |
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| 5.3206 | 0.7 | 7000 | 5.7668 |
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| 6.121 | 0.75 | 7500 | 5.6950 |
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| 6.5956 | 0.8 | 8000 | 5.6926 |
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| 5.8667 | 0.85 | 8500 | 5.6904 |
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| 6.0287 | 0.9 | 9000 | 5.6803 |
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| 5.8417 | 0.95 | 9500 | 5.6747 |
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| 6.9719 | 1.0 | 10000 | 5.6895 |
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### Framework versions
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- Transformers 4.36.0.dev0
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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