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': 35, '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
0.6797	0.6563	0.8583	0
0.6380	0.5999	0.8833	1
0.5750	0.5293	0.9	2
0.5168	0.4771	0.925	3
0.4718	0.4554	0.9333	4
0.4703	0.4554	0.9333	5
0.4732	0.4554	0.9333	6
0.4659	0.4554	0.9333	7
0.4621	0.4554	0.9333	8
0.4751	0.4554	0.9333	9
0.4686	0.4554	0.9333	10
0.4647	0.4554	0.9333	11
0.4735	0.4554	0.9333	12
0.4699	0.4554	0.9333	13
0.4719	0.4554	0.9333	14
0.4701	0.4554	0.9333	15
0.4672	0.4554	0.9333	16
0.4561	0.4554	0.9333	17
0.4717	0.4554	0.9333	18
0.4652	0.4554	0.9333	19