---
license: cc-by-sa-4.0
base_model: klue/bert-base
tags:
- generated_from_keras_callback
model-index:
- name: category4
  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. -->

# category4

This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2658
- Train Accuracy: 1.0
- Validation Loss: 0.3699
- Validation Accuracy: 0.9485
- Epoch: 5

## 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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 3.5847     | 0.1529         | 3.1016          | 0.3402              | 0     |
| 2.5797     | 0.5701         | 2.1027          | 0.7216              | 1     |
| 1.5816     | 0.8793         | 1.1963          | 0.9175              | 2     |
| 0.8647     | 0.9690         | 0.7416          | 0.9381              | 3     |
| 0.4668     | 0.9954         | 0.5027          | 0.9485              | 4     |
| 0.2658     | 1.0            | 0.3699          | 0.9485              | 5     |


### Framework versions

- Transformers 4.31.0
- TensorFlow 2.12.0
- Tokenizers 0.13.3