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

sourceHugging Faceupdated 5y agoView on Hugging Face
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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
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation Loss
1.13351.012300.9346
0.67942.024600.8634
0.39923.036900.9662

Framework versions

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