| license: apache-2.0 | |
| base_model: BSC-TeMU/roberta-base-bne | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - precision | |
| - recall | |
| model-index: | |
| - name: roberta-base-bne-finetuned-detests-wandb24 | |
| 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. --> | |
| # roberta-base-bne-finetuned-detests-wandb24 | |
| This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co./BSC-TeMU/roberta-base-bne) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4065 | |
| - Accuracy: 0.8527 | |
| - F1-score: 0.7826 | |
| - Precision: 0.7945 | |
| - Recall: 0.7727 | |
| - Auc: 0.7727 | |
| ## 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: 5e-05 | |
| - train_batch_size: 32 | |
| - eval_batch_size: 32 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-score | Precision | Recall | Auc | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|:------:| | |
| | 0.3296 | 1.0 | 77 | 0.3456 | 0.8543 | 0.7671 | 0.8142 | 0.7408 | 0.7408 | | |
| | 0.1555 | 2.0 | 154 | 0.4065 | 0.8527 | 0.7826 | 0.7945 | 0.7727 | 0.7727 | | |
| ### Framework versions | |
| - Transformers 4.37.2 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.17.0 | |
| - Tokenizers 0.15.1 | |