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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3040, '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
2.2952	2.0148	0.3846	0
1.6880	1.6117	0.4872	1
1.3471	1.4949	0.5385	2
1.1142	1.3389	0.6410	3
0.8515	1.1787	0.5897	4
0.6936	0.8458	0.7436	5
0.5641	0.7660	0.7436	6
0.4862	0.8724	0.6667	7
0.3327	0.7529	0.7692	8
0.2869	0.5615	0.8718	9
0.2437	0.5124	0.8462	10
0.1663	0.5285	0.8718	11
0.1589	0.6002	0.8718	12
0.1495	0.6048	0.8974	13
0.1131	0.5759	0.8462	14
0.1051	0.5339	0.8718	15
0.0582	0.5317	0.8974	16
0.0502	0.5349	0.8718	17
0.0492	0.5345	0.8462	18