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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 40, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
0.6582	0.6337	0.6692	0
0.6230	0.6035	0.6692	1
0.6015	0.5766	0.6692	2
0.5738	0.5533	0.6692	3
0.5540	0.5429	0.6692	4
0.5534	0.5429	0.6692	5
0.5515	0.5429	0.6692	6
0.5524	0.5429	0.6692	7
0.5455	0.5429	0.6692	8
0.5463	0.5429	0.6692	9
0.5380	0.5429	0.6692	10
0.5494	0.5429	0.6692	11
0.5467	0.5429	0.6692	12
0.5382	0.5429	0.6692	13
0.5562	0.5429	0.6692	14
0.5517	0.5429	0.6692	15
0.5462	0.5429	0.6692	16
0.5456	0.5429	0.6692	17
0.5499	0.5429	0.6692	18
0.5490	0.5429	0.6692	19