---
base_model: bert-base-chinese
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Bert_QA_multiple_choice
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Bert_QA_multiple_choice

This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3867
- Accuracy: 0.6017

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1769        | 1.0   | 752  | 1.0007          | 0.5736   |
| 0.7735        | 2.0   | 1504 | 0.9846          | 0.5977   |
| 0.3761        | 3.0   | 2256 | 1.3867          | 0.6017   |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0