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': 55450, '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	Train End Logits Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
1.6102	0.5808	0.5465	1.1787	0.6799	0.6465	0
0.9934	0.7242	0.6859	1.1191	0.6984	0.6676	1
0.7428	0.7852	0.7468	1.1470	0.6996	0.6693	2
0.5627	0.8317	0.7975	1.2633	0.6977	0.6624	3
0.4244	0.8709	0.8396	1.4117	0.6933	0.6589	4
0.3229	0.9013	0.8736	1.5396	0.6870	0.6575	5
0.2478	0.9239	0.9009	1.7142	0.6880	0.6573	6
0.1909	0.9398	0.9243	1.8694	0.6893	0.6543	7
0.1526	0.9528	0.9388	1.9620	0.6867	0.6516	8
0.1280	0.9610	0.9485	2.0278	0.6900	0.6542	9