optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 8e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0}
training_precision: float32

Train Loss	Train Accuracy	Train Wermet	Train Wermet Syl	Validation Loss	Validation Accuracy	Validation Wermet	Validation Wermet Syl	Epoch
4.9473	0.0111	1.1332	1.0824	3.9300	0.0113	0.9772	0.9710	0
4.6712	0.0117	0.8506	0.8117	3.8878	0.0115	0.9268	0.8881	1
4.6221	0.0117	0.8367	0.7959	3.8674	0.0115	0.9247	0.8888	2
4.5022	0.0121	0.7836	0.7413	3.5242	0.0123	0.8394	0.7987	3
3.7874	0.0142	0.7029	0.6765	2.3850	0.0149	0.6752	0.6324	4
2.5092	0.0187	0.5239	0.5285	1.4988	0.0182	0.4595	0.4333	5
1.7333	0.0222	0.4129	0.4748	1.1810	0.0197	0.3791	0.3635	6
1.2826	0.0247	0.3217	0.3850	1.0531	0.0203	0.3334	0.3074	7
0.9965	0.0267	0.2482	0.3003	0.9782	0.0209	0.3112	0.3004	8
0.8306	0.0279	0.1937	0.2358	0.9286	0.0212	0.2943	0.2714	9
0.6918	0.0290	0.1522	0.1875	0.9175	0.0213	0.2839	0.2573	10
0.5595	0.0302	0.1177	0.1469	1.1712	0.0199	0.2826	0.2564	11
0.4914	0.0309	0.0907	0.1084	0.9066	0.0215	0.2700	0.2412	12
0.4207	0.0315	0.0735	0.0931	0.8965	0.0217	0.2686	0.2398	13
0.3395	0.0324	0.0547	0.0714	0.8982	0.0218	0.2587	0.2329	14

bigmorning/wh_4_sun_syl_w_0_lr_8en5_new_0015

wh_4_sun_syl_w_0_lr_8en5_new_0015