| language: es | |
| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - sqac | |
| metrics: | |
| - f1 | |
| base_model: BSC-TeMU/roberta-base-bne | |
| model-index: | |
| - name: roberta-base-bne-finetuned-sqac | |
| results: | |
| - task: | |
| type: Question-Answering | |
| name: Question Answering | |
| dataset: | |
| name: sqac | |
| type: sqac | |
| metrics: | |
| - type: f1 | |
| value: 0.7903 | |
| name: f1 | |
| <!-- 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-sqac | |
| This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the sqac dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.2111 | |
| ## 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: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 0.9971 | 1.0 | 1196 | 0.8646 | | |
| | 0.482 | 2.0 | 2392 | 0.9334 | | |
| | 0.1652 | 3.0 | 3588 | 1.2111 | | |
| ### Framework versions | |
| - Transformers 4.11.2 | |
| - Pytorch 1.9.0+cu111 | |
| - Datasets 1.12.1 | |
| - Tokenizers 0.10.3 | |