---
base_model: bert-base-chinese
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: test_20241030100037
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# test_20241030100037

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: 2.6565

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4134        | 1.0   | 20   | 1.4111          |
| 1.3745        | 2.0   | 40   | 1.3874          |
| 1.3136        | 3.0   | 60   | 1.3791          |
| 1.1921        | 4.0   | 80   | 1.3380          |
| 1.0282        | 5.0   | 100  | 1.4147          |
| 0.697         | 6.0   | 120  | 1.6691          |
| 0.3299        | 7.0   | 140  | 1.8745          |
| 0.1155        | 8.0   | 160  | 2.1475          |
| 0.0418        | 9.0   | 180  | 2.5058          |
| 0.0217        | 10.0  | 200  | 2.6565          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Tokenizers 0.19.1