Testing
This model is a fine-tuned version of microsoft/codebert-base-mlm on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4526
- Accuracy: 0.9038
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Accuracy |
| 0.7258 |
1.0 |
1373 |
0.5835 |
0.8779 |
| 0.5861 |
2.0 |
2746 |
0.5315 |
0.8882 |
| 0.5478 |
3.0 |
4119 |
0.5053 |
0.8941 |
| 0.5338 |
4.0 |
5492 |
0.4929 |
0.8974 |
| 0.5045 |
5.0 |
6865 |
0.4836 |
0.8995 |
| 0.4958 |
6.0 |
8238 |
0.4662 |
0.9018 |
| 0.4821 |
7.0 |
9611 |
0.4561 |
0.9035 |
| 0.469 |
8.0 |
10984 |
0.4625 |
0.9034 |
| 0.4718 |
9.0 |
12357 |
0.4522 |
0.9048 |
| 0.4642 |
10.0 |
13730 |
0.4526 |
0.9038 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
