---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-base-chinese-finetuned-split
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bert-base-chinese-finetuned-split

This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0157
- F1: 1.0

## 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: 17
- eval_batch_size: 17
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.6953        | 1.0   | 1    | 1.6141          | 0.0    |
| 1.7882        | 2.0   | 2    | 0.7202          | 0.0    |
| 0.7714        | 3.0   | 3    | 0.5327          | 0.0    |
| 0.5498        | 4.0   | 4    | 0.4039          | 0.0    |
| 0.4295        | 5.0   | 5    | 0.3020          | 0.0    |
| 0.3318        | 6.0   | 6    | 0.2653          | 0.3    |
| 0.3066        | 7.0   | 7    | 0.2074          | 0.4545 |
| 0.2533        | 8.0   | 8    | 0.1701          | 0.6923 |
| 0.213         | 9.0   | 9    | 0.1390          | 0.7857 |
| 0.1726        | 10.0  | 10   | 0.1184          | 0.8000 |
| 0.1448        | 11.0  | 11   | 0.0978          | 0.7742 |
| 0.1246        | 12.0  | 12   | 0.0664          | 0.9412 |
| 0.0947        | 13.0  | 13   | 0.0449          | 0.9714 |
| 0.0688        | 14.0  | 14   | 0.0330          | 0.9714 |
| 0.0628        | 15.0  | 15   | 0.0261          | 0.9714 |
| 0.0539        | 16.0  | 16   | 0.0232          | 0.9714 |
| 0.0367        | 17.0  | 17   | 0.0218          | 0.9714 |
| 0.0345        | 18.0  | 18   | 0.0194          | 0.9714 |
| 0.0256        | 19.0  | 19   | 0.0171          | 0.9714 |
| 0.0238        | 20.0  | 20   | 0.0157          | 1.0    |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.12.0+cu102
- Datasets 1.18.4
- Tokenizers 0.12.1