category4 / README.md
kyungmin011029's picture
Upload TFBertForSequenceClassification
711f59f
---
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