| library_name: transformers | |
| base_model: UBC-NLP/MARBERT | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: fold_4 | |
| 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. --> | |
| # fold_4 | |
| This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4025 | |
| - Macro F1: 0.8920 | |
| ## 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: 1e-05 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 16 | |
| - 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 | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Macro F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | 0.9836 | 1.0 | 87 | 0.5345 | 0.7540 | | |
| | 0.3982 | 2.0 | 174 | 0.3769 | 0.8723 | | |
| | 0.2025 | 3.0 | 261 | 0.3329 | 0.8814 | | |
| | 0.1355 | 4.0 | 348 | 0.3793 | 0.8971 | | |
| | 0.0506 | 5.0 | 435 | 0.4025 | 0.8920 | | |
| ### Framework versions | |
| - Transformers 5.0.0 | |
| - Pytorch 2.9.0+cu128 | |
| - Datasets 4.0.0 | |
| - Tokenizers 0.22.2 | |