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': 5e-05, 'decay_steps': 2320, 'end_learning_rate': 0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
2.8423	0.2313	2.5340	0.3593	0
2.4502	0.3181	2.3051	0.3333	1
2.2064	0.3648	1.9143	0.4416	2
1.6431	0.5494	1.5876	0.5411	3
1.1282	0.6960	1.4404	0.6190	4
0.8128	0.7861	1.0982	0.7143	5
0.6016	0.8534	1.0513	0.7532	6
0.4495	0.8947	0.9108	0.7879	7
0.2991	0.9414	0.8437	0.8182	8
0.2068	0.9609	0.7936	0.8182	9
0.1594	0.9729	0.8264	0.8182	10
0.1364	0.9707	0.7984	0.8312	11
0.1217	0.9707	0.7948	0.8268	12
0.1053	0.9729	0.7847	0.8398	13
0.0968	0.9729	0.7850	0.8398	14
0.0879	0.9739	0.7976	0.8442	15
0.0821	0.9718	0.8005	0.8442	16
0.0770	0.9750	0.7967	0.8485	17
0.0772	0.9772	0.8043	0.8485	18
0.0719	0.9772	0.8075	0.8485	19