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
5.3333	0.0111	1.3132	3.9675	0.0114	0.9339	0
4.7131	0.0116	0.8607	3.9360	0.0114	0.9503	1
4.6717	0.0117	0.8449	3.9196	0.0113	0.9768	2
4.6474	0.0117	0.8338	3.9039	0.0114	0.9557	3
4.6273	0.0118	0.8243	3.8721	0.0115	0.9414	4
4.6101	0.0118	0.8167	3.8629	0.0116	0.9156	5
4.5912	0.0119	0.7985	3.8361	0.0116	0.8988	6
4.5645	0.0120	0.7753	3.8298	0.0116	0.9045	7
4.5386	0.0121	0.7558	3.7904	0.0118	0.8426	8
4.5075	0.0122	0.7405	3.7472	0.0119	0.8103	9
4.4586	0.0124	0.7255	3.7163	0.0120	0.8189	10
4.3978	0.0126	0.7174	3.6168	0.0122	0.8163	11
4.3031	0.0128	0.7107	3.4956	0.0125	0.7847	12
4.1606	0.0133	0.7025	3.3414	0.0128	0.7897	13
3.9636	0.0138	0.6991	3.1311	0.0133	0.7495	14
3.7290	0.0145	0.6827	2.8892	0.0139	0.7292	15
3.4993	0.0152	0.6643	2.7195	0.0143	0.7129	16
3.2810	0.0159	0.6448	2.5418	0.0148	0.6803	17
3.0604	0.0167	0.6182	2.3572	0.0153	0.6538	18
2.8748	0.0174	0.5946	2.2575	0.0156	0.6337	19

bigmorning/whisper_4_with_init_sun__0020

whisper_4_with_init_sun__0020