---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bert-portuguese-squad2
  results: []
---

<!-- 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. -->

# bert-portuguese-squad2

This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on SQuAD_v2 dataset, translated for portuguese.

## Model description

More information needed


## Evaluation


 - 'exact': 75.76715597879051
 - 'f1': 86.10779795627346
 - 'total': 130319
 - 'HasAns_exact': 66.280047453957
 - 'HasAns_f1': 81.80143193308851
 - 'HasAns_total': 86821
 - 'NoAns_exact': 94.70320474504575
 - 'NoAns_f1': 94.70320474504575
 - 'NoAns_total': 43498
 - 'best_exact': 75.77176006568497
 - 'best_exact_thresh': 0.0
 - 'best_f1': 86.11240204317286
 - 'best_f1_thresh': 0.0


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3



### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.2