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--- |
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license: apache-2.0 |
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language: pt |
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library_name: transformers |
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tags: |
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- extractive-qa |
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datasets: |
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- eraldoluis/faquad |
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metrics: |
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- squad |
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model-index: |
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- name: faquad-bert-base-portuguese-cased |
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results: |
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- task: |
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type: extractive-qa |
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name: Extractive Question-Answering |
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dataset: |
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type: eraldoluis/faquad |
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name: FaQuAD |
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split: eval |
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metrics: |
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- type: f1 |
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value: 83.0912959832023 |
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name: Eval F1 score (squad metric) |
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verified: false |
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- type: exact_match |
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value: 74.53169347209082 |
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name: Eval ExactMatch score (squad metric) |
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verified: false |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# tmp_exs_faquad |
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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). |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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The model was trained on the `train` split and evaluated on the `eval` split. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.21.3 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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