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
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Model tree for eraldoluis/faquad-bert-base-portuguese-cased
Base model
neuralmind/bert-base-portuguese-cased
Finetuned
this model
Dataset used to train eraldoluis/faquad-bert-base-portuguese-cased
Evaluation results
- Eval F1 score (squad metric) on FaQuADself-reported83.091
- Eval ExactMatch score (squad metric) on FaQuADself-reported74.532