madatnlp/skgpt-base-kormath

This model is a fine-tuned version of madatnlp/sk-kogptv2-kormath-causal on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.4912
• Validation Loss: 1.1109
• Epoch: 25

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': 5.3799995e-05, '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
2.0777	1.5042	0
1.4350	1.1904	1
1.3248	1.2871	2
1.1661	1.4441	3
1.0920	1.0973	4
1.0431	1.3860	5
0.9541	1.2228	6
0.9315	1.0385	7
0.8875	1.2156	8
0.8838	1.0195	9
0.8029	1.1956	10
0.7533	1.1139	11
0.7526	1.4868	12
0.6986	1.1045	13
0.6999	1.1083	14
0.6462	1.0082	15
0.6325	1.0643	16
0.6350	1.0729	17
0.6373	1.0455	18
0.5922	1.2834	19
0.5606	1.1031	20
0.5241	1.3085	21
0.5394	1.2911	22
0.5486	1.2407	23
0.5239	1.2075	24
0.4912	1.1109	25

Framework versions

• Transformers 4.19.2
• TensorFlow 2.8.0
• Datasets 2.2.1
• Tokenizers 0.12.1