| --- |
| library_name: transformers |
| license: mit |
| base_model: roberta-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: causalbench_code-roberta-base |
| 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. --> |
|
|
| # causalbench_code-roberta-base |
| |
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6042 |
| - Accuracy: 0.6711 |
| - Macro F1: 0.6462 |
| - Micro F1: 0.6711 |
| |
| ## 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: 64 |
| - eval_batch_size: 32 |
| - 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 |
| - lr_scheduler_warmup_steps: 100 |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Micro F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:| |
| | No log | 1.0 | 99 | 0.6266 | 0.6609 | 0.6427 | 0.6609 | |
| | No log | 2.0 | 198 | 0.6041 | 0.6609 | 0.6442 | 0.6609 | |
| | No log | 3.0 | 297 | 0.6042 | 0.6711 | 0.6462 | 0.6711 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.50.3 |
| - Pytorch 2.11.0+cu130 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.4 |
|
|
