syp1229/roberta-base-finetuned-koidiom-epoch5

This model is a fine-tuned version of klue/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.9099
• Validation Loss: 1.8647
• Epoch: 4

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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
2.4941	2.0442	0
2.1324	1.9281	1
2.0266	1.8105	2
1.9568	1.8450	3
1.9099	1.8647	4

Framework versions

• Transformers 4.19.1
• TensorFlow 2.8.0
• Datasets 2.2.1
• Tokenizers 0.12.1