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
10.2835	0.0000	10.2748	0.0	0
10.2791	0.0000	10.2665	0.0000	1
10.2586	0.0	10.2434	0.0000	2
10.2455	0.0000	10.2100	0.0000	3
10.2063	0.0	10.1620	0.0000	4
10.1658	0.0	10.1147	0.0	5
10.1174	0.0	10.0558	0.0	6
10.0613	0.0000	9.9800	0.0002	7
9.9915	0.0002	9.9088	0.0015	8