|
|
--- |
|
|
library_name: transformers |
|
|
license: mit |
|
|
base_model: roberta-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: vulnerability-severity-classification-roberta-base |
|
|
results: [] |
|
|
datasets: |
|
|
- CIRCL/vulnerability-scores |
|
|
--- |
|
|
|
|
|
<!-- 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/FacebookAI/roberta-base) on the dataset [CIRCL/vulnerability-scores](https://huggingface.co/datasets/CIRCL/vulnerability-scores). |
|
|
|
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.6501 |
|
|
- Accuracy: 0.7607 |
|
|
|
|
|
## Model description |
|
|
|
|
|
It is a classification model and is aimed to assist in classifying vulnerabilities by severity based on their descriptions. |
|
|
|
|
|
## 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: 16 |
|
|
- eval_batch_size: 16 |
|
|
- 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: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
|
| 0.5993 | 1.0 | 14930 | 0.6907 | 0.7245 | |
|
|
| 0.5952 | 2.0 | 29860 | 0.6572 | 0.7416 | |
|
|
| 0.6602 | 3.0 | 44790 | 0.6146 | 0.7513 | |
|
|
| 0.4305 | 4.0 | 59720 | 0.6159 | 0.7615 | |
|
|
| 0.3855 | 5.0 | 74650 | 0.6501 | 0.7607 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.49.0 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 3.3.2 |
|
|
- Tokenizers 0.21.0 |
