madatnlp/rob-large-krmath

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

• Train Loss: 0.2249
• Validation Loss: 0.1952
• Epoch: 3

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': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.7547	0.3385	0
0.3233	0.2132	1
0.2540	0.2434	2
0.2249	0.1952	3

Framework versions

• Transformers 4.18.0
• TensorFlow 2.8.0
• Datasets 2.2.1
• Tokenizers 0.12.1