optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0002, 'decay_steps': 420, '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': 0.01}
training_precision: float32

Train Loss	Validation Loss	Validation Precision	Validation Recall	Validation F1	Validation Accuracy	Epoch
0.7318	0.4161	0.1453	0.1156	0.1287	0.8751	0
0.3556	0.2296	0.5610	0.5111	0.5349	0.9324	1
0.2050	0.1668	0.6972	0.6756	0.6862	0.9521	2
0.1289	0.1603	0.6807	0.72	0.6998	0.9531	3
0.0875	0.1874	0.7281	0.7022	0.7149	0.9521	4
0.0754	0.1931	0.6653	0.7156	0.6895	0.9479	5
0.0416	0.1637	0.6935	0.7644	0.7273	0.9554	6
0.0238	0.1413	0.7598	0.7733	0.7665	0.9638	7
0.0152	0.1494	0.7479	0.8044	0.7752	0.9634	8
0.0152	0.1946	0.7061	0.7156	0.7108	0.9531	9
0.0128	0.1815	0.7241	0.7467	0.7352	0.9554	10
0.0072	0.1766	0.7210	0.7467	0.7336	0.9568	11
0.0080	0.1860	0.6987	0.7422	0.7198	0.9531	12
0.0089	0.1826	0.7227	0.7644	0.7430	0.9563	13
0.0053	0.1740	0.7319	0.7644	0.7478	0.9582	14