metadata
library_name: transformers
license: apache-2.0
base_model: mangsense/codebert_java
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: codebert-java-vul4j-ft
results: []
codebert-java-vul4j-ft
This model is a fine-tuned version of mangsense/codebert_java on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5547
- Accuracy: 0.7143
- F1: 0.4286
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 66 | 0.4762 | 0.6988 | 0.3243 |
| No log | 2.0 | 132 | 0.3536 | 0.8313 | 0.125 |
| No log | 3.0 | 198 | 0.4353 | 0.8434 | 0.0 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1