optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 9e-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
4.9681	0.0110	1.0978	1.0320	3.9638	0.0115	0.9381	0.9056	0
4.6761	0.0117	0.8575	0.8228	3.9169	0.0114	0.9712	0.9620	1
4.6236	0.0117	0.8445	0.8081	3.8797	0.0114	0.9326	0.8917	2
4.5632	0.0119	0.8050	0.7742	3.7177	0.0119	0.8440	0.7958	3
4.1937	0.0130	0.7566	0.7272	3.0202	0.0133	0.7910	0.7506	4
3.3184	0.0155	0.6793	0.6727	2.3451	0.0150	0.6482	0.6128	5
2.5030	0.0186	0.5700	0.6068	1.7355	0.0172	0.5112	0.4890	6
1.9211	0.0214	0.4611	0.5181	1.3854	0.0187	0.4265	0.3990	7
1.4913	0.0237	0.3598	0.4021	1.2044	0.0197	0.3828	0.3518	8
1.1777	0.0257	0.2978	0.3545	1.1199	0.0201	0.3470	0.3139	9
0.9732	0.0271	0.2313	0.2736	1.3250	0.0193	0.3358	0.3036	10
0.8297	0.0282	0.1900	0.2295	1.0128	0.0210	0.3097	0.2756	11
0.7030	0.0292	0.1530	0.1913	1.0408	0.0209	0.3049	0.2746	12
0.5494	0.0306	0.1187	0.1508	1.0263	0.0210	0.3003	0.2669	13
0.5047	0.0310	0.1018	0.1372	1.0696	0.0209	0.3035	0.2741	14

bigmorning/whisper_4_with_init_sun_syl_wd_0_lr_9en5_0015

whisper_4_with_init_sun_syl_wd_0_lr_9en5_0015