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---
license: cc-by-sa-4.0
base_model: klue/bert-base
tags:
- generated_from_keras_callback
model-index:
- name: category2
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. -->
# category2
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: 0.1245
- Train Accuracy: 1.0
- Validation Loss: 0.3052
- Validation Accuracy: 0.9512
- Epoch: 7
## 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 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 3.5655 | 0.1598 | 3.1279 | 0.4390 | 0 |
| 2.4666 | 0.6926 | 2.0870 | 0.7073 | 1 |
| 1.4274 | 0.9126 | 1.2408 | 0.8780 | 2 |
| 0.7632 | 0.9740 | 0.8015 | 0.8902 | 3 |
| 0.4298 | 0.9891 | 0.5613 | 0.9146 | 4 |
| 0.2529 | 1.0 | 0.4192 | 0.9268 | 5 |
| 0.1709 | 1.0 | 0.3459 | 0.9512 | 6 |
| 0.1245 | 1.0 | 0.3052 | 0.9512 | 7 |
### Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Tokenizers 0.13.3
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