optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 960, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Train Loss	Validation Loss	Train Accuracy	Epoch
0.1061	0.9567	0.7778	0
0.0565	1.0825	0.7778	1
0.0362	1.0696	0.7822	2
0.0396	1.0904	0.7956	3
0.0308	1.0044	0.8044	4
0.0748	1.0578	0.8133	5
0.0392	0.9964	0.8222	6
0.0166	1.0293	0.8089	7
0.0174	0.9895	0.8178	8
0.0114	1.0403	0.8267	9
0.0141	1.0086	0.8178	10
0.0145	1.0403	0.8089	11
0.0194	1.3127	0.7822	12
0.0134	1.2929	0.7911	13
0.0377	0.8565	0.8133	14
0.0251	0.9806	0.8222	15
0.0130	1.0757	0.8356	16
0.0100	1.1304	0.8	17
0.0103	1.0859	0.8133	18
0.0078	1.1050	0.8311	19
0.0085	1.0970	0.8267	20