Hi, when i use FaceNet train CASIA-Webface, i first use Softmax Loss, and after 90 epoch, the model gets 98% accuracy and 95% validation rate.
Then, i want to use Triplet Loss to finetune the model, however, i can't find suitable parameters to improve the model.
I have try the learning rate from 0.001 to 1e-7, the model performance all decreased (especially the validate rate)
and I am really confused about that, how do you guys finetune the model with Triplet Loss?
Hi, when i use FaceNet train CASIA-Webface, i first use Softmax Loss, and after 90 epoch, the model gets 98% accuracy and 95% validation rate. Then, i want to use Triplet Loss to finetune the model, however, i can't find suitable parameters to improve the model. I have try the learning rate from 0.001 to 1e-7, the model performance all decreased (especially the validate rate) and I am really confused about that, how do you guys finetune the model with Triplet Loss?