--- tags: - generated_from_trainer datasets: - sqac model-index: - name: bert-base-spanish-wwm-cased-finetuned-squad2-es-finetuned-sqac results: [] language: - es --- # bert-base-spanish-wwm-cased-finetuned-squad2-es-finetuned-sqac This model is a fine-tuned version of [ockapuh/bert-base-spanish-wwm-cased-finetuned-squad2-es](https://huggingface.co/ockapuh/bert-base-spanish-wwm-cased-finetuned-squad2-es) on the sqac dataset. It achieves the following results on the evaluation set: - Loss: 0.9263 - {'exact_match': 65.55793991416309, 'f1': 82.72322701572416} ### 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 ### Framework versions - Transformers 4.14.1 - Pytorch 1.10.0+cu111 - Datasets 1.17.0 - Tokenizers 0.10.3