metadata
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: cwe-parent-vulnerability-classification-roberta-base
results: []
cwe-parent-vulnerability-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: 2.2966
- F1 Macro: 0.0453
- Exact Match: 0.0
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 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 | F1 Macro | Exact Match |
|---|---|---|---|---|---|
| 1.1881 | 1.0 | 25 | 2.2966 | 0.0453 | 0.0 |
| 1.1994 | 2.0 | 50 | 2.6744 | 0.0336 | 0.0 |
| 0.9102 | 3.0 | 75 | 3.0701 | 0.0566 | 0.0 |
| 1.339 | 4.0 | 100 | 3.0234 | 0.0436 | 0.0 |
| 1.5817 | 5.0 | 125 | 3.0559 | 0.0428 | 0.0 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2