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tmp_exs_faquad

This model is a fine-tuned version of neuralmind/bert-base-portuguese-cased on the FaQuAD dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

The model was trained on the train split and evaluated on the eval split.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 3e-05
  • train_batch_size: 64
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.21.3
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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Safetensors
Model size
108M params
Tensor type
I64
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F32
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Finetuned from

Dataset used to train eraldoluis/faquad-bert-base-portuguese-cased

Evaluation results