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
10.1929	0.0000	10.1896	0.0	0
10.1870	0.0	10.1773	0.0	1
10.1724	0.0	10.1478	0.0	2
10.1466	0.0000	10.1051	0.0	3
10.1096	0.0000	10.0535	0.0000	4
10.0618	0.0001	9.9953	0.0006	5
9.9983	0.0006	9.9197	0.0057	6
9.9316	0.0038	9.8372	0.0175	7