| --- |
| base_model: huggingface/CodeBERTa-small-v1 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: oo-method-test-model-bylibrary |
| 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. --> |
|
|
| # oo-method-test-model-bylibrary |
|
|
| This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1651 |
| - Accuracy: 0.9439 |
| - Best Accuracy: 0.9439 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1.238e-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: cosine |
| - lr_scheduler_warmup_ratio: 0.05 |
| - training_steps: 915 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Best Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:| |
| | 0.4914 | 0.19 | 183 | 0.2747 | 0.8956 | 0.8956 | |
| | 0.2639 | 0.37 | 366 | 0.3623 | 0.8925 | 0.8956 | |
| | 0.2105 | 0.56 | 549 | 0.2257 | 0.9224 | 0.9224 | |
| | 0.1669 | 0.74 | 732 | 0.1651 | 0.9439 | 0.9439 | |
| | 0.1037 | 0.93 | 915 | 0.1676 | 0.9408 | 0.9439 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.33.1 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
| |
