metadata
library_name: transformers
base_model: microsoft/codebert-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: vuln-patch-cwe-guesser-model-microsoft-codebert-base
results: []
vuln-patch-cwe-guesser-model-microsoft-codebert-base
This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.0155
- Accuracy: 0.0
- F1: 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: 40
- eval_batch_size: 40
- 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
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 1 | 5.1990 | 0.0 | 0.0 |
| No log | 2.0 | 2 | 5.1269 | 0.0 | 0.0 |
| No log | 3.0 | 3 | 5.0723 | 0.0 | 0.0 |
| No log | 4.0 | 4 | 5.0350 | 0.0 | 0.0 |
| No log | 5.0 | 5 | 5.0155 | 0.0 | 0.0 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2