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