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category4
This model is a fine-tuned version of 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
