vulnerability-severity-classification-roberta-base
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4956
- Accuracy: 0.8294
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 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 |
---|---|---|---|---|
0.6174 | 1.0 | 26913 | 0.6369 | 0.7439 |
0.5776 | 2.0 | 53826 | 0.5643 | 0.7777 |
0.5285 | 3.0 | 80739 | 0.5198 | 0.8026 |
0.4074 | 4.0 | 107652 | 0.4993 | 0.8198 |
0.2624 | 5.0 | 134565 | 0.4956 | 0.8294 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for CIRCL/vulnerability-severity-classification-roberta-base
Base model
FacebookAI/roberta-base