--- library_name: transformers base_model: huggingface/CodeBERTa-small-v1 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: vuln-patch-cwe-guesser-model-huggingface-CodeBERTa-small-v1 results: [] --- # vuln-patch-cwe-guesser-model-huggingface-CodeBERTa-small-v1 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: 4.3345 - Accuracy: 0.1685 - F1: 0.0060 ## 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: 3e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - 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: linear - num_epochs: 1 - label_smoothing_factor: 0.1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | 4.5185 | 1.0 | 25 | 4.3345 | 0.1685 | 0.0060 | ### Framework versions - Transformers 4.55.0 - Pytorch 2.7.1+cu126 - Datasets 4.0.0 - Tokenizers 0.21.2