category2

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: 0.1245
• 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