metadata

library_name: transformers
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: vulnerability-severity-classification-roberta-base
    results: []

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: 0.5005
Accuracy: 0.8282

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
0.603	1.0	27953	0.6582	0.7378
0.6564	2.0	55906	0.5723	0.7726
0.4861	3.0	83859	0.5290	0.7975
0.4009	4.0	111812	0.5012	0.8156
0.3478	5.0	139765	0.5005	0.8282

Framework versions

Transformers 4.51.3
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.1