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---
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
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