| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: codebert-python-custom-functions-dataset-python |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # codebert-python-custom-functions-dataset-python |
|
|
| This model is a fine-tuned version of [neulab/codebert-python](https://huggingface.co/neulab/codebert-python) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0151 |
|
|
| ## Model description |
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| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.9043 | 1.0 | 43 | 1.5089 | |
| | 0.5831 | 2.0 | 86 | 0.4039 | |
| | 0.3148 | 3.0 | 129 | 0.1510 | |
| | 0.2251 | 4.0 | 172 | 0.0710 | |
| | 0.0766 | 5.0 | 215 | 0.0442 | |
| | 0.0884 | 6.0 | 258 | 0.0287 | |
| | 0.0975 | 7.0 | 301 | 0.0210 | |
| | 0.1113 | 8.0 | 344 | 0.0183 | |
| | 0.0448 | 9.0 | 387 | 0.0162 | |
| | 0.029 | 10.0 | 430 | 0.0151 | |
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|
| ### Framework versions |
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|
| - Transformers 4.28.1 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
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|
