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bert-base-cased-structurized-squad

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bert-base-cased-structurized-squad

This model is a fine-tuned version of bert-base-cased on the structurized context of the martineden/structurized_squad dataset.

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: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 512
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant
  • num_epochs: 2

Training results

'exact_match': 64.27980132450331 'f1': 77.7041082090089

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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google-bert/bert-base-cased
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Dataset used to train martineden/bert-base-cased-structurized-squad