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bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac-v2

This model is a fine-tuned version of mrm8488/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es on the sqac dataset. It achieves the following results on the evaluation set:

  • {'exact_match': 65.02145922746782, 'f1': 81.6651482773275}

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
0.9417 1.0 1277 0.7903
0.5002 2.0 2554 0.8459
0.2895 3.0 3831 0.9482

Framework versions

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