InsightFace_Pytorch
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Fine tuning model by my own custom dataset.
Thanks for you great repo. I used pretrained model for my dataset. But, It does not reach good enough accuracy. So I must re-train the model by my dataset. But I only reach 65% at accuracy on validation dataset. The model loss only decrease to approximate 10. Have anyone met the issue? Have you had any idea to deal this? Thanks very much.
This is my config for training
SGD ( Parameter Group 0 dampening: 0 lr: 0.05 momentum: 0.9 nesterov: False weight_decay: 0.0004 Parameter Group 1 dampening: 0 lr: 0.05 momentum: 0.9 nesterov: False weight_decay: 0 )
I use CrossEntropy for loss function
@sangtv9 Hey! Has your problem been solved? whta is your backbone network? I have the same problem (backbone:mobileface)
Hi @momohuangsha and @sangtv9, I hope you are having nice results, I am wondering if you finally found a way to tune with your dataset.
Can you share with the community your code?