metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Testing
results: []
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