optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.01, '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
39.6121	0.0057	33.2649	25.5768	4.5339	0.0113	0.9851	0.9843	0
5.3698	0.0107	12.0116	9.0545	4.3408	0.0112	0.9919	0.9915	1
5.1979	0.0109	9.4008	7.1909	4.2108	0.0113	0.9851	0.9843	2
5.0669	0.0110	7.0382	5.3339	4.1662	0.0113	0.9851	0.9843	3
4.9546	0.0111	4.8506	3.7351	4.3022	0.0112	0.9870	0.9854	4
4.9453	0.0111	3.9228	3.1750	4.1194	0.0113	0.9851	0.9843	5
4.9123	0.0112	2.2402	1.9643	4.1865	0.0112	1.0000	1.0000	6
4.8957	0.0112	1.7673	1.5892	4.1150	0.0112	1.0000	0.9999	7
4.8959	0.0112	2.2166	1.9601	4.1185	0.0113	0.9851	0.9843	8
4.8685	0.0113	0.9890	0.9897	4.1857	0.0113	0.9851	0.9843	9
4.8677	0.0113	1.2238	1.2355	4.1211	0.0113	0.9851	0.9843	10
4.8585	0.0113	1.0074	1.0059	4.1065	0.0113	0.9851	0.9843	11
4.8609	0.0113	1.1844	1.1144	4.1053	0.0113	0.9851	0.9843	12
4.8588	0.0113	1.2374	1.1658	4.1377	0.0113	0.9851	0.9843	13
4.8581	0.0113	1.0010	1.0020	4.1140	0.0113	0.9851	0.9843	14

bigmorning/whisper_4_with_init_sun_syl_wd_0_lr_en2_0015

whisper_4_with_init_sun_syl_wd_0_lr_en2_0015