---
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: 0.0154
- 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: 27
- eval_batch_size: 27
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.4938        | 1.0   | 1    | 1.6750          | 0.0    |
| 1.7935        | 2.0   | 2    | 0.7116          | 0.0    |
| 0.7945        | 3.0   | 3    | 0.5122          | 0.0    |
| 0.5331        | 4.0   | 4    | 0.4022          | 0.0    |
| 0.4232        | 5.0   | 5    | 0.3155          | 0.0    |
| 0.3449        | 6.0   | 6    | 0.2706          | 0.0    |
| 0.2951        | 7.0   | 7    | 0.2177          | 0.1481 |
| 0.2455        | 8.0   | 8    | 0.1809          | 0.2143 |
| 0.2115        | 9.0   | 9    | 0.1463          | 0.6486 |
| 0.1631        | 10.0  | 10   | 0.1210          | 0.8636 |
| 0.1427        | 11.0  | 11   | 0.0988          | 0.8889 |
| 0.1227        | 12.0  | 12   | 0.0736          | 0.9583 |
| 0.098         | 13.0  | 13   | 0.0528          | 0.9796 |
| 0.0769        | 14.0  | 14   | 0.0399          | 1.0    |
| 0.0616        | 15.0  | 15   | 0.0319          | 1.0    |
| 0.0526        | 16.0  | 16   | 0.0267          | 1.0    |
| 0.0505        | 17.0  | 17   | 0.0216          | 1.0    |
| 0.0337        | 18.0  | 18   | 0.0182          | 1.0    |
| 0.034         | 19.0  | 19   | 0.0163          | 1.0    |
| 0.0275        | 20.0  | 20   | 0.0154          | 1.0    |


### Framework versions

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