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---
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
---
<!-- 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
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