optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0001, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 22325, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1175, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
training_precision: float32

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
10.2539	0.0	10.2414	0.0000	0
10.2396	0.0000	10.2294	0.0000	1
10.2338	0.0000	10.2031	0.0000	2
10.2003	0.0000	10.1587	0.0000	3
10.1691	0.0	10.1081	0.0	4
10.1135	0.0000	10.0415	0.0001	5
10.0630	0.0001	9.9697	0.0013	6
9.9906	0.0011	9.8881	0.0097	7
9.9059	0.0070	9.7998	0.0183	8
9.8173	0.0164	9.6999	0.0210	9