improve the accuracy of mobilefacenet in paper mobilefacenet论文(https://arxiv.org/abs/1804.07573) 中精度达到LFW 99.5% agedb 95.9% now i modifed to train。we get more higher accuray:[lfw][12000]Accuracy-Flip: 0.99617+-0.00358 [agedb_30][12000]Accuracy-Flip: 0.96017+-0.00893
batch-epoch: 0.001 11999 0 testing verification.. (12000, 512) infer time 12.695148 [lfw][12000]XNorm: 22.189873 [lfw][12000]Accuracy-Flip: 0.99617+-0.00358 testing verification.. (14000, 512) infer time 14.926009 [cfp_fp][12000]XNorm: 18.588222 [cfp_fp][12000]Accuracy-Flip: 0.88857+-0.01704 testing verification.. (12000, 512) infer time 12.718514 [agedb_30][12000]XNorm: 22.106283 [agedb_30][12000]Accuracy-Flip: 0.96017+-0.00893 saving 6 INFO:root:Saved checkpoint to "../models/MF/model-y1-arcfaceredodododo-0006.params" [12000]Accuracy-Highest: 0.96033
or
lr-batch-epoch: 0.001 1317 1 testing verification.. (12000, 512) infer time 12.44981 [lfw][14000]XNorm: 22.190438 [lfw][14000]Accuracy-Flip: 0.99600+-0.00359 testing verification.. (14000, 512) infer time 14.993647 [cfp_fp][14000]XNorm: 18.583859 [cfp_fp][14000]Accuracy-Flip: 0.88814+-0.01752 testing verification.. (12000, 512) infer time 12.716178 [agedb_30][14000]XNorm: 22.115754 [agedb_30][14000]Accuracy-Flip: 0.96100+-0.00790 saving 7 INFO:root:Saved checkpoint to "../models/MF/model-y1-arcfaceredodododo-0007.params" [14000]Accuracy-Highest: 0.96100