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': 3550, '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
0.2751	0.2043	0.9107	0
0.1202	0.2077	0.9177	1
0.0583	0.2770	0.9079	2
0.0435	0.3412	0.9066	3
0.0251	0.3762	0.9079	4
0.0208	0.2241	0.9303	5
0.0070	0.2794	0.9317	6
0.0151	0.3823	0.9219	7
0.0088	0.3740	0.9261	8
0.0019	0.4286	0.9261	9
0.0030	0.6086	0.8912	10
0.0052	0.4023	0.9344	11
0.0005	0.5193	0.9121	12
0.0002	0.5171	0.9135	13
0.0002	0.5276	0.9163	14
0.0002	0.5344	0.9135	15
0.0002	0.5362	0.9163	16
0.0001	0.5407	0.9163	17
0.0001	0.5406	0.9163	18
0.0001	0.5484	0.9149	19
0.0001	0.5406	0.9177	20
0.0001	0.5431	0.9177	21
0.0001	0.5453	0.9163	22
0.0001	0.5466	0.9163	23
0.0001	0.5471	0.9163	24