| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: roberta-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: vulnerability-severity-classification-roberta-base |
| | 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. --> |
| |
|
| | # vulnerability-severity-classification-roberta-base |
| |
|
| | This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.0264 |
| | - Accuracy: 0.8207 |
| |
|
| | ## 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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | | 2.3559 | 1.0 | 15202 | 2.5301 | 0.7425 | |
| | | 2.2821 | 2.0 | 30404 | 2.2508 | 0.7737 | |
| | | 2.0705 | 3.0 | 45606 | 2.1307 | 0.7943 | |
| | | 1.9612 | 4.0 | 60808 | 2.0244 | 0.8115 | |
| | | 1.3880 | 5.0 | 76010 | 2.0264 | 0.8207 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 5.0.0 |
| | - Pytorch 2.10.0+cu128 |
| | - Datasets 4.5.0 |
| | - Tokenizers 0.22.2 |
| | |
