| | --- |
| | library_name: transformers |
| | base_model: huggingface/CodeBERTa-small-v1 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | - accuracy |
| | - precision |
| | - recall |
| | model-index: |
| | - name: CodeBERTa-small-v1-sourcecode-detection-clf |
| | 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. --> |
| |
|
| | # CodeBERTa-small-v1-sourcecode-detection-clf |
| |
|
| | This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0041 |
| | - F1: 1.0 |
| | - Accuracy: 1.0 |
| | - Precision: 1.0 |
| | - Recall: 1.0 |
| |
|
| | ## 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: 0.0003 |
| | - train_batch_size: 320 |
| | - eval_batch_size: 320 |
| | - seed: 2024 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - training_steps: 100 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:| |
| | | No log | 0 | 0 | 0.6985 | 0.3223 | 0.49 | 0.2401 | 0.49 | |
| | | 0.0001 | 12.5 | 50 | 0.0044 | 1.0 | 1.0 | 1.0 | 1.0 | |
| | | 0.0001 | 25.0 | 100 | 0.0041 | 1.0 | 1.0 | 1.0 | 1.0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.46.3 |
| | - Pytorch 2.5.1 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
| | |
