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why loss almost unchanged, but mAP is getting better

Open Once88 opened this issue 5 years ago • 1 comments

When I train a model, the loss converges quickly after a few steps and almost does not changes later, but the accuracy (mAP) still getting better and better. Can someone help explain this? Thanks a lot.

Once88 avatar Jul 30 '19 02:07 Once88

maybe different weights can get almost same loss when it is small,but different weights can get different map

monoloxo avatar Mar 30 '20 05:03 monoloxo