If I got it right, there’s a default validation-percent parameter,
get_cv_idxs(.) that’s set to
0.2 – so I’m using the default 20% validation set size.
@jeremy got it; I’m trying to make sure I’m pointed in the right general direction before I start charging into oblivion
So far I’m down to a trn/val loss of 2.547…/2.434 after 4 epochs at
lrs=1e-1 … so… seems like the right direction. We’ll see.
@Antti yup, discovered that last week I think there’s a
set_data method letting you add it in later on which is very useful.
One note: is
learn.data.sz returning batch size instead of image sizes? I just noticed it’s giving me my batch (64) size even after I resized to 300.