| license: apache-2.0 | |
| base_model: neuralsentry/distilbert-git-commits-mlm | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - precision | |
| - recall | |
| - f1 | |
| model-index: | |
| - name: starencoder-vulnfix-classification | |
| 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. --> | |
| # starencoder-vulnfix-classification | |
| This model is a fine-tuned version of [neuralsentry/distilbert-git-commits-mlm](https://huggingface.co/neuralsentry/distilbert-git-commits-mlm) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2247 | |
| - Accuracy: 0.9087 | |
| - Precision: 0.9401 | |
| - Recall: 0.9210 | |
| - F1: 0.9304 | |
| - Roc Auc: 0.9027 | |
| ## 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: 0.0001 | |
| - train_batch_size: 256 | |
| - eval_batch_size: 256 | |
| - seed: 420 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Roc Auc | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:| | |
| | 0.36 | 1.57 | 33 | 0.2265 | 0.9124 | 0.9315 | 0.9368 | 0.9342 | 0.9006 | | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.14.0 | |
| - Tokenizers 0.13.3 | |