optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.001, '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
5.0580	0.0110	1.8635	1.7118	4.0077	0.0112	1.0399	1.0195	0
4.7330	0.0115	0.9446	0.9262	3.9889	0.0113	0.9757	0.9619	1
4.6832	0.0116	0.8889	0.8637	3.9832	0.0114	0.9574	0.9276	2
4.6668	0.0116	0.9362	0.9592	3.9389	0.0113	0.9939	1.0310	3
4.6252	0.0117	1.0167	1.1679	3.9158	0.0114	0.9633	0.9764	4
4.6026	0.0117	1.0596	1.2533	3.8896	0.0114	0.9953	1.0541	5
4.5658	0.0118	1.1222	1.3998	3.8228	0.0116	0.9368	0.9177	6
4.4715	0.0120	1.0840	1.3327	3.7310	0.0117	0.9284	0.9338	7
4.3515	0.0122	1.5346	2.0632	3.6182	0.0119	0.9122	0.9112	8
4.1520	0.0126	1.7418	2.3436	3.2869	0.0124	1.3462	1.8561	9
3.8516	0.0132	1.8839	2.6071	3.0980	0.0128	0.9534	0.9652	10
3.5680	0.0139	2.4447	3.4321	2.9746	0.0129	1.1678	1.6347	11
3.3589	0.0144	2.4698	3.4460	2.6950	0.0137	1.0842	1.5304	12
3.1696	0.0149	1.5290	2.1570	2.5462	0.0141	0.7527	0.8018	13
3.0438	0.0154	1.1658	1.5877	2.8403	0.0133	0.8122	0.8351	14
3.5014	0.0139	1.6667	2.1542	3.0705	0.0127	0.9106	0.9810	15
3.2493	0.0146	3.1163	4.0054	2.6965	0.0137	0.8412	0.9477	16
3.0545	0.0153	2.3470	3.2466	2.5400	0.0143	1.1155	1.5200	17
2.8967	0.0159	3.2617	4.3707	2.6836	0.0138	1.4573	1.8857	18
2.7463	0.0164	3.3160	4.4960	2.3931	0.0146	1.1235	1.4960	19

bigmorning/whisper_4_with_init_sun_syl_wd_0_lr_en3_0020

whisper_4_with_init_sun_syl_wd_0_lr_en3_0020