GraphCodeBERT-Base-Solidity-Vulnerability
This model is a fine-tuned version of microsoft/graphcodebert-base on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Accuracy |
Precision |
Recall |
F1 |
| 0.0522 |
1.0 |
4713 |
0.0101 |
0.9992 |
0.9992 |
0.9992 |
0.9992 |
| 0.0563 |
2.0 |
9426 |
0.0000 |
1.0 |
1.0 |
1.0 |
1.0 |
| 0.0 |
3.0 |
14139 |
0.0000 |
1.0 |
1.0 |
1.0 |
1.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
