optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1800, '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, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
training_precision: mixed_float16

Train Loss	Train Accuracy	Train Top-3-accuracy	Validation Loss	Validation Accuracy	Validation Top-3-accuracy	Epoch
3.7777	0.0845	0.1855	3.3754	0.1543	0.3014	0
2.7253	0.3277	0.5560	2.4975	0.3452	0.5892	1
2.0079	0.5236	0.7589	2.1228	0.4234	0.6882	2
1.5256	0.6663	0.8549	1.9117	0.4734	0.7445	3
1.1602	0.7712	0.9270	1.8059	0.5162	0.7560	4
0.8509	0.8659	0.9614	1.6534	0.5516	0.7758	5
0.5955	0.9353	0.9836	1.6139	0.5610	0.7935	6
0.4229	0.9687	0.9940	1.5655	0.5631	0.7925	7
0.3045	0.9859	0.9979	1.5290	0.5714	0.7987	8
0.2221	0.9958	0.9990	1.5061	0.5954	0.8008	9
0.1742	0.9982	0.9997	1.5010	0.5746	0.8040	10