optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-04, '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
4.9733	0.0111	1.5643	1.4238	3.9610	0.0114	0.9612	0.9404	0
4.6745	0.0116	0.8628	0.8245	3.8859	0.0115	0.9258	0.8928	1
4.6271	0.0117	0.8456	0.8063	3.8727	0.0114	0.9561	0.9364	2
4.5738	0.0119	0.8242	0.8004	3.7410	0.0117	0.8760	0.8375	3
4.1772	0.0130	0.7540	0.7249	2.8900	0.0136	0.7575	0.7119	4
3.1940	0.0159	0.6535	0.6496	2.2086	0.0152	0.6192	0.5859	5
2.3103	0.0193	0.5146	0.5379	1.4923	0.0182	0.4666	0.4350	6
1.6683	0.0226	0.3900	0.4225	1.2258	0.0195	0.3874	0.3520	7
1.2915	0.0248	0.2991	0.3266	1.1613	0.0198	0.3557	0.3195	8
1.0272	0.0266	0.2339	0.2620	1.0518	0.0206	0.3258	0.2928	9
0.8566	0.0279	0.1886	0.2188	1.0568	0.0205	0.3212	0.2865	10
0.7035	0.0291	0.1482	0.1719	1.0242	0.0210	0.3057	0.2795	11
0.6035	0.0299	0.1184	0.1406	1.1038	0.0205	0.3029	0.2718	12
0.5397	0.0305	0.0955	0.1162	1.0007	0.0213	0.2899	0.2559	13
0.4547	0.0313	0.0765	0.0967	1.0415	0.0212	0.2940	0.2620	14

bigmorning/whisper_4_with_init_sun_syl_wd_0_lr_en4_0015

whisper_4_with_init_sun_syl_wd_0_lr_en4_0015