| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: t5-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: causalbench_code-t5-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-t5-base |
| |
| This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5991 |
| - Accuracy: 0.7074 |
| - Macro F1: 0.6990 |
| - Micro F1: 0.7074 |
| |
| ## 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: 0.0003 |
| - train_batch_size: 32 |
| - 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 | 197 | 0.6302 | 0.6851 | 0.6850 | 0.6851 | |
| | No log | 2.0 | 394 | 0.5676 | 0.6915 | 0.6867 | 0.6915 | |
| | 0.5727 | 3.0 | 591 | 0.5991 | 0.7074 | 0.6990 | 0.7074 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.50.3 |
| - Pytorch 2.11.0+cu130 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.4 |
|
|
