optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Train Loss	Train Accuracy	Train Wermet	Validation Loss	Validation Accuracy	Validation Wermet	Epoch
5.6298	0.0091	1.6176	4.3084	0.0092	1.0203	0
4.9271	0.0098	0.8937	4.1324	0.0099	0.9075	1
4.6878	0.0106	0.8360	3.9151	0.0102	0.9003	2
4.4454	0.0113	0.8275	3.7558	0.0106	0.8730	3
4.2497	0.0119	0.8211	3.6019	0.0110	0.8640	4
4.0917	0.0123	0.8067	3.5363	0.0111	0.8512	5
3.9616	0.0127	0.7864	3.4492	0.0113	0.8432	6
3.8575	0.0130	0.7742	3.3963	0.0113	0.8414	7
3.7605	0.0133	0.7580	3.3430	0.0115	0.8197	8
3.6756	0.0136	0.7447	3.2872	0.0117	0.8071	9
3.6021	0.0138	0.7370	3.2828	0.0117	0.8165	10
3.5237	0.0140	0.7218	3.2439	0.0118	0.8088	11
3.4558	0.0143	0.7105	3.2063	0.0120	0.7890	12
3.3853	0.0145	0.6993	3.1702	0.0120	0.8035	13
3.3101	0.0148	0.6870	3.1144	0.0123	0.7605	14
3.2314	0.0152	0.6719	3.0522	0.0125	0.7481	15
3.1430	0.0155	0.6575	2.9911	0.0127	0.7378	16
3.0392	0.0160	0.6369	2.9249	0.0129	0.7357	17
2.9134	0.0166	0.6148	2.7883	0.0134	0.6909	18
2.7583	0.0173	0.5911	2.6383	0.0139	0.6695	19
2.5761	0.0182	0.5649	2.4519	0.0144	0.6360	20
2.3668	0.0192	0.5329	2.2887	0.0150	0.6022	21
2.1435	0.0203	0.4947	2.0979	0.0156	0.5742	22
1.9309	0.0214	0.4597	1.9288	0.0162	0.5377	23
1.6980	0.0226	0.4192	1.7768	0.0167	0.5094	24
1.4712	0.0239	0.3799	1.6030	0.0173	0.4825	25
1.2644	0.0252	0.3419	1.4490	0.0179	0.4463	26
1.0965	0.0262	0.3082	1.3237	0.0184	0.4211	27
0.9565	0.0271	0.2781	1.2294	0.0187	0.3952	28
0.8423	0.0278	0.2511	1.1475	0.0191	0.3752	29

bigmorning/whisper_syl_noforce_nostart__0030

whisper_syl_noforce_nostart__0030