Open SuyueLiu opened 1 year ago
Ha ha, I have the same question as you. But my cyclical decline is followed by a small sharp rise followed by a steady decline
Ha ha, I have the same question as you. But my cyclical decline is followed by a small sharp rise followed by a steady decline
Same as you, did you solve this problem?
The same is true for the loss when I train the VIT model, but the final result does not seem to be worse
The same is true for the loss when I train the VIT model, but the final result does not seem to be worse
Yes, it doesn't make any difference to the final result, but I wonder how it works? I don't have this problem when I train other networks
The loss changes periodically with the epoch. At the beginning of each epoch, the loss drops precipitously and increases slowly in the later training process. I do not understand the reason for this phenomenon.Haha,is there expert know the reason?
The loss changes periodically with the epoch. At the beginning of each epoch, the loss drops precipitously and increases slowly in the later training process. I do not understand the reason for this phenomenon.Haha,is there expert know the reason?
backbone: mbf loss: arcface dataset: glint (msra + asian celeb) lr = 0.1 wd = 1e-4 fp16=True
as shown in the figure, there are periodic, sudden drops in losses, I am curious why this happens.