| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: Testing |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Testing |
|
|
| This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/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 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.25.1 |
| - Pytorch 1.13.0+cu117 |
| - Datasets 2.7.1 |
| - Tokenizers 0.13.2 |
|
|
