---
base_model: bert-base-chinese
tags:
- generated_from_keras_callback
model-index:
- name: AIYIYA/my_wr3
  results: []
---

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

# AIYIYA/my_wr3

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:
- Train Loss: 1.1315
- Validation Loss: 1.1418
- Train Accuracy: 0.8158
- Epoch: 14

## 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:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 90, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 3.0206     | 2.6776          | 0.2895         | 0     |
| 2.6896     | 2.4286          | 0.7105         | 1     |
| 2.4102     | 2.1955          | 0.6579         | 2     |
| 2.1850     | 1.9989          | 0.7368         | 3     |
| 1.9867     | 1.8181          | 0.6842         | 4     |
| 1.8059     | 1.6320          | 0.7368         | 5     |
| 1.5830     | 1.5359          | 0.8158         | 6     |
| 1.5184     | 1.4081          | 0.7895         | 7     |
| 1.4472     | 1.3072          | 0.8421         | 8     |
| 1.3197     | 1.2605          | 0.8158         | 9     |
| 1.2258     | 1.2182          | 0.8158         | 10    |
| 1.2182     | 1.1752          | 0.8158         | 11    |
| 1.1015     | 1.1583          | 0.8158         | 12    |
| 1.1387     | 1.1463          | 0.8158         | 13    |
| 1.1315     | 1.1418          | 0.8158         | 14    |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3