optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 8e-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
5.2081	0.0105	1.5151	1.1936	4.0143	0.0113	0.9817	0.9765	0
4.7532	0.0116	0.8756	0.8371	3.9494	0.0114	0.9457	0.9171	1
4.7031	0.0117	0.8615	0.8175	3.9244	0.0114	0.9383	0.8993	2
4.6799	0.0117	0.8569	0.8117	3.9091	0.0114	0.9659	0.9487	3
4.6415	0.0117	0.8450	0.7985	3.8828	0.0115	0.9227	0.8867	4
4.6194	0.0118	0.8366	0.7901	3.8588	0.0115	0.9314	0.8973	5
4.5993	0.0118	0.8253	0.7803	3.9068	0.0116	0.9000	0.8526	6
4.5584	0.0120	0.7864	0.7455	3.7567	0.0118	0.8407	0.7907	7
4.4423	0.0123	0.7655	0.7209	3.5099	0.0123	0.8256	0.7786	8
4.0719	0.0133	0.7479	0.7112	2.9385	0.0135	0.7636	0.7193	9
3.5177	0.0148	0.7049	0.6917	2.4295	0.0148	0.6907	0.6559	10
2.8931	0.0170	0.6532	0.6928	2.0341	0.0161	0.6031	0.5778	11
2.4018	0.0190	0.6050	0.7024	1.7053	0.0174	0.5373	0.5223	12
1.9940	0.0210	0.5579	0.7168	1.5422	0.0180	0.4803	0.4793	13
1.7258	0.0223	0.5356	0.7426	1.4314	0.0186	0.4270	0.4029	14

bigmorning/wh_4_sun_syl_w_0_lr_8en5_b32_0015

wh_4_sun_syl_w_0_lr_8en5_b32_0015