| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| model-index: | |
| - name: CodeBertaCLM | |
| 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. --> | |
| # CodeBertaCLM | |
| This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.0401 | |
| - Accuracy: 0.0151 | |
| - F1: 0.0151 | |
| - Bleu4: 0.0545 | |
| ## 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: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Bleu4 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:| | |
| | 2.7267 | 1.0 | 1373 | 1.5727 | 0.0161 | 0.0161 | 0.0423 | | |
| | 1.4983 | 2.0 | 2746 | 1.2421 | 0.0170 | 0.0170 | 0.0674 | | |
| | 1.2858 | 3.0 | 4119 | 1.1225 | 0.0154 | 0.0154 | 0.0434 | | |
| | 1.2268 | 4.0 | 5492 | 1.0612 | 0.0153 | 0.0153 | 0.0646 | | |
| | 1.1658 | 5.0 | 6865 | 1.0401 | 0.0151 | 0.0151 | 0.0545 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |