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

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# NER_demo

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: 0.0035

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 7    | 0.3060          |
| 0.6805        | 2.0   | 14   | 0.0752          |
| 0.1039        | 3.0   | 21   | 0.0235          |
| 0.1039        | 4.0   | 28   | 0.0293          |
| 0.0319        | 5.0   | 35   | 0.0059          |
| 0.0237        | 6.0   | 42   | 0.0035          |


### Framework versions

- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1