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Get 99.03% performance on LFW #118
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I guess batch size could be the major reason. You can still adjust the iteration size to use large batch szie on one GPU. |
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I reproduce your experience training with CASIA-WebFace and evaluate with LFW using SpherefaceNet-20 twice, but I get the accuracy 98.98% and 99.03% which don't match your achivement 99.30%. The preprocess, train and test all follow you and the config all set default except that I use the official caffe and I use one GPU GTX1070. I know it's reasonable to exist some difference in different environment, but the error rate differ almost 30%. I'm confuse whether it's GPU number that make the difference. And what should I adjust if I want to get your accuracy using one GPU. Thanks. Here are the two train logs:
(1)
1 98.67%
2 98.83%
3 98.33%
4 99.33%
5 99.00%
6 99.33%
7 98.83%
8 98.67%
9 99.83%
10 99.00%
AVE 98.98%
(2)
1 98.50%
2 98.83%
3 98.50%
4 99.33%
5 98.83%
6 99.50%
7 98.83%
8 98.83%
9 99.83%
10 99.33%
AVE 99.03%
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