--- base_model: dccuchile/distilbert-base-spanish-uncased tags: - generated_from_trainer datasets: - squad_es model-index: - name: distilbert-base-spanish-uncased-finetuned-squad-es results: [] --- # distilbert-base-spanish-uncased-finetuned-squad-es This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co./dccuchile/distilbert-base-spanish-uncased) on the squad_es dataset. It achieves the following results on the evaluation set: - Loss: 1.8312 ## 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 | |:-------------:|:-----:|:-----:|:---------------:| | 2.005 | 1.0 | 6365 | 1.9063 | | 1.6794 | 2.0 | 12730 | 1.8152 | | 1.5028 | 3.0 | 19095 | 1.8312 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1