readme: ---
  license: apache-2.0
  language: pt
  library_name: transformers
  tags:
  - extractive-qa
  datasets:
  - eraldoluis/faquad
  metrics:
  - squad
  
  model-index:
  - name: faquad-bert-base-portuguese-cased
    results:
    - task:
        type: extractive-qa
        name: Extractive Question-Answering
      dataset:
        type: eraldoluis/faquad
        name: FaQuAD
        split: eval
      metrics:
        - type: f1
          value: 83.0912959832023
          name: Eval F1 score (squad metric)
          verified: false
        - type: exact_match
          value: 74.53169347209082
          name: Eval ExactMatch score (squad metric)
          verified: false
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # tmp_exs_faquad
  
  This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the [FaQuAD dataset](https://huggingface.co/datasets/eraldoluis/faquad).
  
  ## 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
  