metadata
library_name: transformers
license: cc-by-4.0
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vulnerability-severity-classification-roberta-base-expA
results: []
vulnerability-severity-classification-roberta-base-expA
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5169
- Accuracy: 0.8232
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.4999 | 1.0 | 29470 | 0.6657 | 0.7290 |
| 0.5279 | 2.0 | 58940 | 0.5911 | 0.7685 |
| 0.4775 | 3.0 | 88410 | 0.5392 | 0.7961 |
| 0.3753 | 4.0 | 117880 | 0.5125 | 0.8122 |
| 0.2537 | 5.0 | 147350 | 0.5169 | 0.8232 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1