README.md

metadata

library_name: transformers
base_model: huggingface/CodeBERTa-small-v1
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: vuln-patch-cwe-guesser-model-huggingface-CodeBERTa-small-v1
    results: []

vuln-patch-cwe-guesser-model-huggingface-CodeBERTa-small-v1

This model is a fine-tuned version of huggingface/CodeBERTa-small-v1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.3345
• Accuracy: 0.1685
• F1: 0.0060

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: 1
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
4.5185	1.0	25	4.3345	0.1685	0.0060

Framework versions

• Transformers 4.55.0
• Pytorch 2.7.1+cu126
• Datasets 4.0.0
• Tokenizers 0.21.2