optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2730, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.8537	0.6415	0.7848	0.6476	0
0.6839	0.7459	0.8610	0.6190	1
0.5477	0.7816	0.8801	0.7048	2
0.4614	0.8091	0.7547	0.7143	3
0.3993	0.8297	0.6578	0.7714	4
0.4027	0.8407	0.7150	0.7524	5
0.3852	0.8420	0.8414	0.7238	6
0.2948	0.8819	0.6340	0.8000	7
0.2254	0.9107	0.9173	0.7048	8
0.1818	0.9409	0.7314	0.7905	9
0.1022	0.9698	1.0474	0.6571	10
0.0873	0.9643	0.9123	0.7714	11
0.0529	0.9808	1.1258	0.8000	12
0.0766	0.9794	0.9509	0.7905	13
0.0305	0.9931	1.0909	0.7714	14
0.0221	0.9959	1.1400	0.7810	15
0.0163	0.9959	1.2631	0.7905	16
0.0138	0.9959	1.1850	0.8000	17

QT321/quynh_deberta-v3-Base-finetuned-AI_req_4

quynh_deberta-v3-Base-finetuned-AI_req_4