starencoder-vulnfix-classification
This model is a fine-tuned version of 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