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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: CommitPredictor |
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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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# CommitPredictor |
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This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5037 |
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- Accuracy: 0.8963 |
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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: 2.722963804424848e-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 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.7479 | 1.0 | 2440 | 0.6350 | 0.8715 | |
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| 0.6629 | 2.0 | 4880 | 0.5891 | 0.8793 | |
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| 0.6252 | 3.0 | 7320 | 0.5720 | 0.8829 | |
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| 0.5904 | 4.0 | 9760 | 0.5426 | 0.8883 | |
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| 0.5549 | 5.0 | 12200 | 0.5284 | 0.8918 | |
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| 0.5456 | 6.0 | 14640 | 0.5212 | 0.8927 | |
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| 0.5452 | 7.0 | 17080 | 0.5206 | 0.8933 | |
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| 0.5196 | 8.0 | 19520 | 0.5094 | 0.8948 | |
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| 0.5193 | 9.0 | 21960 | 0.5078 | 0.8950 | |
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| 0.5193 | 10.0 | 24400 | 0.5037 | 0.8963 | |
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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 |
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