Edit model card


This model is a fine-tuned version of MMG/bert-base-spanish-wwm-cased-finetuned-sqac on the squad_es dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5325
  • {'exact_match': 60.30274361400189, 'f1': 77.01962587890856}

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Framework versions

  • Transformers 4.13.0
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
Downloads last month
Hosted inference API
Question Answering
This model can be loaded on the Inference API on-demand.

Dataset used to train MMG/bert-base-spanish-wwm-cased-finetuned-sqac-finetuned-squad