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': 6000, '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
5.1229	5.0343	0.0067	0
5.0629	5.0547	0.0033	1
5.0585	5.0239	0.0167	2
5.0530	5.0257	0.0167	3
5.0545	5.0207	0.01	4
5.0549	5.0104	0.01	5
5.0401	5.0240	0.0067	6
5.0400	5.0121	0.01	7
5.0372	5.0030	0.0167	8
5.0326	5.0256	0.0067	9
5.0382	4.9992	0.01	10
5.0144	4.9976	0.01	11
5.0152	4.9783	0.0167	12
4.9700	4.9433	0.0067	13
4.9206	4.9482	0.0067	14
4.9153	4.8727	0.0067	15
4.9287	4.7980	0.0167	16
4.8014	4.7452	0.0167	17
4.7477	4.6429	0.01	18
4.6939	4.6035	0.02	19
4.6607	4.5406	0.02	20
4.6075	4.5490	0.0167	21
4.5748	4.5086	0.0333	22
4.5383	4.3940	0.0333	23
4.4965	4.3748	0.0233	24
4.4459	4.3669	0.0233	25