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bert-base-spanish-wwm-cased-finetuned-sqac

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the sqac dataset. It achieves the following results on the evaluation set: {'exact_match': 62.017167, 'f1': 79.452767}

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
1.1335 1.0 1230 0.9346
0.6794 2.0 2460 0.8634
0.3992 3.0 3690 0.9662

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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