README.md

metadata

language: pt
license: apache-2.0
library_name: transformers
tags:
  - extractive-qa
datasets:
  - eraldoluis/faquad
metrics:
  - squad
base_model: neuralmind/bert-base-portuguese-cased
model-index:
  - name: faquad-bert-base-portuguese-cased
    results:
      - task:
          type: extractive-qa
          name: Extractive Question-Answering
        dataset:
          name: FaQuAD
          type: eraldoluis/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

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