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The performance of trained model is pool in train set. #4

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yiran-THU opened this issue Oct 25, 2019 · 0 comments
Open

The performance of trained model is pool in train set. #4

yiran-THU opened this issue Oct 25, 2019 · 0 comments

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@yiran-THU
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yiran-THU commented Oct 25, 2019

I have trained this model in ic15 with code in this repository.
After 69100 iteration training, the loss is reduced to 0.00333686.

I1024 22:11:46.818552 4375 sgd_solver.cpp:105] Iteration 69180, lr = 0.001
I1024 22:11:53.286249 4375 solver.cpp:218] Iteration 69190 (1.54621 iter/s, 6.46743s/10 iters), loss = 0.00333686
I1024 22:11:53.286276 4375 solver.cpp:237] Train net output #0: Loss_rbox = 0.00646377 (* 1 = 0.00646377 loss)
I1024 22:11:53.286281 4375 solver.cpp:237] Train net output #1: Loss_score = 0.00405699 (* 0.01 = 4.05699e-05 loss)

However, The performance of trained model is pool even in train set.
ic

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