| library_name: transformers | |
| base_model: UBC-NLP/MARBERT | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: task1 | |
| 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. --> | |
| # task1 | |
| This model is a fine-tuned version of [UBC-NLP/MARBERT](https://huggingface.co/UBC-NLP/MARBERT) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.6486 | |
| - Accuracy: 0.7112 | |
| - Macro F1: 0.6883 | |
| ## 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 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 | Accuracy | Macro F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| | |
| | 0.773 | 1.0 | 345 | 0.6486 | 0.7112 | 0.6883 | | |
| | 0.5602 | 2.0 | 690 | 0.7584 | 0.6880 | 0.6497 | | |
| | 0.3315 | 3.0 | 1035 | 0.9695 | 0.6720 | 0.6594 | | |
| | 0.196 | 4.0 | 1380 | 1.4219 | 0.6647 | 0.6559 | | |
| | 0.1183 | 5.0 | 1725 | 1.6137 | 0.6655 | 0.6503 | | |
| ### Framework versions | |
| - Transformers 4.53.1 | |
| - Pytorch 2.6.0+cu124 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.21.2 | |