| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: causalbench_code-bert-base-uncased |
| 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-bert-base-uncased |
| |
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5691 |
| - Accuracy: 0.7080 |
| - Macro F1: 0.7030 |
| |
| ## 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: 32 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
| | No log | 1.0 | 393 | 0.5905 | 0.6985 | 0.6954 | |
| | 0.6177 | 2.0 | 786 | 0.5688 | 0.7080 | 0.7030 | |
| | 0.5476 | 3.0 | 1179 | 0.5918 | 0.7048 | 0.7017 | |
| | 0.4672 | 4.0 | 1572 | 0.6354 | 0.7017 | 0.6920 | |
| | 0.4672 | 5.0 | 1965 | 0.6883 | 0.7010 | 0.6948 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.17.0 |
| - Pytorch 2.14.0+cu130 |
| - Datasets 3.6.0 |
| - Tokenizers 0.23.2 |
| |
