optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 7440, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.0001}
training_precision: float32

Train Loss	Validation Loss	Train Accuracy	Epoch
4.2343	4.0917	0.0437	0
3.7984	3.8481	0.1313	1
3.3245	3.5615	0.1062	2
2.8352	3.1190	0.3	3
2.3077	2.7024	0.4	4
1.8445	2.4423	0.4625	5
1.4533	2.0483	0.5813	6
1.1535	1.8203	0.65	7
0.9074	1.4581	0.725	8
0.7190	1.3655	0.7812	9
0.5880	1.2685	0.7875	10
0.4729	1.2005	0.7875	11
0.4004	0.9699	0.825	12
0.3349	0.9435	0.8313	13
0.2789	0.8993	0.8438	14
0.2179	0.8071	0.8625	15
0.2061	0.7852	0.8812	16
0.2124	0.7664	0.8625	17
0.1623	0.8276	0.8562	18
0.1523	0.7698	0.8375	19