optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.0002, '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
5.2282	0.0106	3.5001	2.7069	4.0241	0.0114	0.9693	0.9528	0
4.7449	0.0116	0.8928	0.8621	3.9408	0.0114	0.9623	0.9431	1
4.7110	0.0116	0.9319	0.9494	4.0066	0.0114	0.9466	0.9714	2
4.6727	0.0117	0.9059	0.9227	3.9101	0.0114	0.9428	0.9156	3
4.6540	0.0117	0.9103	0.9487	3.9216	0.0115	0.9358	0.9594	4
4.6333	0.0117	0.9864	1.1325	3.9306	0.0115	0.9255	0.9484	5
4.6176	0.0117	0.9803	1.1203	3.9175	0.0115	0.9420	0.9530	6
4.5944	0.0118	1.0060	1.1999	3.8546	0.0115	0.9307	0.9259	7
4.5516	0.0119	0.9620	1.1243	3.7716	0.0117	0.8963	0.9090	8
4.3967	0.0123	0.9533	1.1468	3.3131	0.0126	0.8398	0.8514	9
3.6948	0.0142	1.0093	1.2963	2.5045	0.0143	0.7208	0.7981	10
2.7175	0.0174	1.0107	1.4791	1.6944	0.0173	0.5291	0.5397	11
1.9685	0.0207	0.8511	1.3318	1.3460	0.0189	0.4535	0.4901	12
1.5230	0.0231	0.6365	1.0150	1.4574	0.0184	0.4208	0.4469	13
1.1565	0.0254	0.4528	0.7311	1.1631	0.0200	0.3639	0.3688	14
0.9615	0.0268	0.3751	0.6218	1.1632	0.0201	0.3579	0.3572	15
0.8007	0.0281	0.3001	0.5086	1.1379	0.0205	0.3373	0.3423	16
0.6860	0.0291	0.2588	0.4497	1.1096	0.0206	0.3192	0.3128	17
0.5421	0.0304	0.2152	0.3919	1.0932	0.0209	0.3167	0.3123	18
0.5573	0.0301	0.1858	0.3290	1.1996	0.0206	0.3176	0.3171	19

bigmorning/wh_4_sun_syl_w_0_lr_2en4_b32_0020

wh_4_sun_syl_w_0_lr_2en4_b32_0020