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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: codebert-python-custom-functions-dataset-python |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# codebert-python-custom-functions-dataset-python |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 8 |
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- eval_batch_size: 8 |
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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 |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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