---
license: mit
language:
- zh
base_model:
- google-bert/bert-base-chinese
pipeline_tag: question-answering
---

# BERT-based-MRC

This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on BD-11 dataset.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 18
- optimizer: Adam with epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

Evaluated on the BD-11 dataset test set.
```
  "exact": 87.70,
  "f1": 89.32,
  "total": 1528,
  "HasAns_exact": 83.94,
  "HasAns_f1": 86.24,
  "HasAns_total": 1077,
  "NoAns_exact": 96.67,
  "NoAns_f1": 96.67,
  "NoAns_total": 451
```

### Framework versions

- Transformers 4.25.1
- Pytorch 1.6.0
- Datasets 2.7.1
- Tokenizers 0.11.6