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hi, @TreB1eN Thank you for sharing.
I set up a dataset from YouTube video, AFDB, CNBC etc, with a total of 6587 categories. Use MTCNN to detect face and align
Training data like this: use MobileFaceNet and ArcFace head milestones = [30, 70, 200] lr=0.01 batch size =64 Train in my notebook(GTX1050ti 4G)
After 70 epochs, the train loss stable at about 3 :
So is the hyper parameter setting appropriate? Do you have any good suggestions about hyper parameters,please?
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How did you make the .idx, .lst, and .bin file?
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hi, @TreB1eN Thank you for sharing.
I set up a dataset from YouTube video, AFDB, CNBC etc, with a total of 6587 categories. Use MTCNN to detect face and align
Training data like this:
use MobileFaceNet and ArcFace head
milestones = [30, 70, 200] lr=0.01 batch size =64 Train in my notebook(GTX1050ti 4G)
After 70 epochs, the train loss stable at about 3 :
So is the hyper parameter setting appropriate?
Do you have any good suggestions about hyper parameters,please?
The text was updated successfully, but these errors were encountered: