In the CAFFE, it has
We can find the setting in caffe/examples/mnist/lenet_solver_adam.prototxt at master · BVLC/caffe · GitHub
While in pytorch, the Adam method is
class torch.optim.Adam(params, lr=0.001, betas=(0.9, 0.999), eps=1e-08, weight_decay=0, amsgrad=False)
I did not find any params for momentum. How to set it in pytorch? Thanks
Sorry. The last sentence mentioned it. beta is same as momentum in CAFFE
hi
lr
alpha
betas
Are you sure? So what is means “Caffes uses the value of momentum, momentum2 and delta for beta1,beta2 …” If I want to set momentum as 0.95, what should I do in PYTORCH with Adam method?
Any solution here? Is there a momentum equivalent for Adam?