optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.0005, '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
4.9887	0.0111	2.4313	2.0277	3.9591	0.0113	0.9814	0.9748	0
4.6955	0.0116	1.0254	1.1408	3.9756	0.0114	0.9556	0.9274	1
4.6375	0.0117	0.9863	1.1057	3.9172	0.0113	1.0035	1.0561	2
4.5880	0.0118	0.9259	1.0151	3.8477	0.0115	0.9131	0.8768	3
4.4281	0.0121	0.9097	1.0158	3.4905	0.0121	0.8963	0.8527	4
3.7757	0.0137	0.9637	1.1849	2.6810	0.0138	0.8056	0.7421	5
2.9154	0.0165	0.7874	0.9588	2.0364	0.0160	0.6531	0.6367	6
2.2740	0.0191	0.9549	1.3576	1.6962	0.0173	0.6010	0.6229	7
1.8660	0.0210	0.8321	1.1975	1.4948	0.0183	0.5637	0.6709	8
1.5840	0.0226	1.2436	1.9323	1.4040	0.0188	0.5958	0.6870	9
1.3490	0.0241	0.8796	1.4101	1.3792	0.0189	0.6074	0.6794	10
1.1885	0.0252	0.6986	1.1213	1.3298	0.0194	0.4919	0.5833	11
1.0398	0.0262	0.7525	1.2414	1.3096	0.0197	0.5282	0.7002	12
0.9501	0.0268	0.8995	1.4857	1.3766	0.0198	0.6507	0.9766	13
0.8512	0.0276	0.9617	1.6026	1.4447	0.0195	0.6508	0.9710	14

bigmorning/whisper_4_with_init_sun_syl_wd_0_lr_5en4_0015

whisper_4_with_init_sun_syl_wd_0_lr_5en4_0015