---
license: apache-2.0
language: br
library_name: transformers
tags:
- question-answering
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: squad
        value: 
        - f1: 83.0912959832023
          exact_match: 74.53169347209082
        name: Eval F1 and ExactMatch
        verified: false
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 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