QueryDet-PyTorch
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loss nan!
when i train in visdrone, i just modify the batchsize and the max iter ,but there is a promblem in 768iter
maybe you can try to reduce your lr
Hi, we have recently updated a new VisDrone training config (gradient clip added), which can avoid NaN now.
Hi, I set the Batchsize to 16 and augment the lr to 0.02 respectively, and I got the same loss nan error
Hi, we have recently updated a new VisDrone training config (gradient clip added), which can avoid NaN now.
Hello, when I set lr to 0.01 or 0.001 when training private datasets, I have loss to nan, and when I set lr to 0.0001, training is normal, but the final result AP is nan.
#97 when I set lr to 0.01 or 0.001 when training private datasets,training is normal, and the final result ap is lower than paper eight percent
#97 when I set lr to 0.01 or 0.001 when training private datasets,training is normal, and the final result ap is lower than paper eight percent
Hi, have you solved it?