---
license: gpl-3.0
base_model: ckiplab/bert-base-chinese
tags:
- generated_from_trainer
model-index:
- name: bert-base-chinese-finetuned-QA-b8
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-chinese-finetuned-QA-b8

This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2136

## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3406        | 0.29  | 1000  | 0.8157          |
| 0.7651        | 0.58  | 2000  | 0.7385          |
| 0.7172        | 0.87  | 3000  | 0.6328          |
| 0.5028        | 1.16  | 4000  | 0.6747          |
| 0.405         | 1.45  | 5000  | 0.6796          |
| 0.4005        | 1.73  | 6000  | 0.6860          |
| 0.3522        | 2.02  | 7000  | 0.8813          |
| 0.2048        | 2.31  | 8000  | 0.9346          |
| 0.1929        | 2.6   | 9000  | 1.0987          |
| 0.2032        | 2.89  | 10000 | 1.0005          |
| 0.142         | 3.18  | 11000 | 1.1372          |
| 0.0938        | 3.47  | 12000 | 1.2476          |
| 0.0953        | 3.76  | 13000 | 1.2136          |


### Framework versions

- Transformers 4.34.0
- Pytorch 1.13.1+cu116
- Datasets 2.14.5
- Tokenizers 0.14.1