At the end of Chapter 14 it is suggested to try training the ResNet with MixUp.
l = Learner(dls, rn, loss_func=nn.CrossEntropyLoss(), metrics=accuracy, cbs=MixUp()).to_fp16()
l.fit_one_cycle(100, 3e-3)
Afaik using the library all that is needed is to add the cbs=MixUp() part. However, this error occurs:
RuntimeError: Exception occured in
MixUp
when calling eventbefore_batch
:
expected dtype long int forweight
but got dtype float
I found these 2 issues, but couldn’t solve my problem:
mixup crashing lr_find · Issue #2233 · fastai/fastai · GitHub
Mixup Errors · Issue #3183 · fastai/fastai · GitHub