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': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 30, '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
0.6872	0.6614	0.6154	0
0.6474	0.6141	0.8365	1
0.5998	0.5594	0.8846	2
0.5464	0.5138	0.8942	3
0.5160	0.4941	0.8942	4
0.4997	0.4941	0.8942	5
0.4984	0.4941	0.8942	6
0.5082	0.4941	0.8942	7
0.5010	0.4941	0.8942	8
0.5084	0.4941	0.8942	9
0.5026	0.4941	0.8942	10
0.5065	0.4941	0.8942	11
0.5019	0.4941	0.8942	12
0.5066	0.4941	0.8942	13
0.4976	0.4941	0.8942	14
0.5072	0.4941	0.8942	15
0.5018	0.4941	0.8942	16
0.5097	0.4941	0.8942	17
0.5131	0.4941	0.8942	18
0.5101	0.4941	0.8942	19