madatnlp/rob-large-krmath2

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: 0.0707
• Validation Loss: 0.2571
• Epoch: 17

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': 'SGD', 'learning_rate': 0.01, 'decay': 0.0, 'momentum': 0.9, 'nesterov': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
1.7479	1.5215	0
1.1286	0.7513	1
1.2498	0.9242	2
1.0213	0.7140	3
0.8002	0.6080	4
0.5895	0.3721	5
0.4699	0.3392	6
0.3064	0.2599	7
0.2803	0.2360	8
0.2162	0.3075	9
0.1878	0.2652	10
0.1635	0.1618	11
0.1342	0.1061	12
0.1058	0.2906	13
0.0869	0.3535	14
0.0704	0.2090	15
0.0608	0.1777	16
0.0707	0.2571	17

Framework versions

• Transformers 4.19.2
• TensorFlow 2.8.2
• Datasets 2.2.2
• Tokenizers 0.12.1