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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bert-portuguese-squad2 |
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results: [] |
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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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# bert-portuguese-squad2 |
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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 SQuAD_v2 dataset, translated for portuguese. |
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## Model description |
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More information needed |
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## Evaluation |
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{'exact': 75.76715597879051, |
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'f1': 86.10779795627346, |
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'total': 130319, |
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'HasAns_exact': 66.280047453957, |
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'HasAns_f1': 81.80143193308851, |
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'HasAns_total': 86821, |
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'NoAns_exact': 94.70320474504575, |
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'NoAns_f1': 94.70320474504575, |
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'NoAns_total': 43498, |
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'best_exact': 75.77176006568497, |
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'best_exact_thresh': 0.0, |
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'best_f1': 86.11240204317286, |
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'best_f1_thresh': 0.0} |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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 |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.2 |
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