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--- |
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base_model: huggingface/CodeBERTa-small-v1 |
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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: oo-method-test-model-bylibrary |
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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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# oo-method-test-model-bylibrary |
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This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1651 |
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- Accuracy: 0.9439 |
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- Best Accuracy: 0.9439 |
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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: 1.238e-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: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- training_steps: 915 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Best Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:| |
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| 0.4914 | 0.19 | 183 | 0.2747 | 0.8956 | 0.8956 | |
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| 0.2639 | 0.37 | 366 | 0.3623 | 0.8925 | 0.8956 | |
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| 0.2105 | 0.56 | 549 | 0.2257 | 0.9224 | 0.9224 | |
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| 0.1669 | 0.74 | 732 | 0.1651 | 0.9439 | 0.9439 | |
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| 0.1037 | 0.93 | 915 | 0.1676 | 0.9408 | 0.9439 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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