| 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 | |