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--- |
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license: mit |
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language: |
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- zh |
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base_model: |
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- google-bert/bert-base-chinese |
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pipeline_tag: question-answering |
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--- |
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# BERT-based-MRC |
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This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on BD-11 dataset. |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 18 |
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- optimizer: Adam with epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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Evaluated on the BD-11 dataset test set. |
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``` |
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"exact": 87.70, |
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"f1": 89.32, |
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"total": 1528, |
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"HasAns_exact": 83.94, |
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"HasAns_f1": 86.24, |
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"HasAns_total": 1077, |
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"NoAns_exact": 96.67, |
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"NoAns_f1": 96.67, |
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"NoAns_total": 451 |
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``` |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.6.0 |
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- Datasets 2.7.1 |
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- Tokenizers 0.11.6 |
