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
2.6889	0.0181	0.5699	2.0988	0.0162	0.6016	20
2.5493	0.0187	0.5449	1.9878	0.0166	0.5834	21
2.3921	0.0194	0.5207	1.9029	0.0168	0.5597	22
2.2491	0.0201	0.4987	1.8642	0.0169	0.5409	23
2.1254	0.0207	0.4766	1.7354	0.0175	0.5231	24
1.9980	0.0213	0.4552	1.6661	0.0178	0.5049	25
1.9147	0.0217	0.4382	1.6140	0.0180	0.4921	26
1.8008	0.0223	0.4196	1.5652	0.0182	0.4742	27
1.7185	0.0228	0.4028	1.5159	0.0184	0.4632	28
1.6401	0.0232	0.3867	1.4891	0.0185	0.4548	29
1.5786	0.0235	0.3728	1.5141	0.0183	0.4548	30
1.4950	0.0241	0.3582	1.4345	0.0188	0.4340	31
1.4323	0.0244	0.3448	1.3694	0.0191	0.4226	32
1.3495	0.0250	0.3319	1.3780	0.0190	0.4172	33
1.3007	0.0253	0.3187	1.3296	0.0193	0.4109	34

bigmorning/whisper_4_with_init_sun__0035

whisper_4_with_init_sun__0035