Hi,
I’m currently working through Fastbook.
What struck me, is that the performance when running the cells:
is way worse than the documented performance:
Is this normal and if not - why could this be the case?
Hi,
I’m currently working through Fastbook.
What struck me, is that the performance when running the cells:
Is this normal and if not - why could this be the case?
I’m getting the same thing. My first error_rate
from fine_tune()
or fit_one_cycle()
is ~0.3
and I can’t get it below ~0.19
no matter what I try.
python --version = 3.8.8
ipython --version = 7.21
fastai --version = 2.2.7
is this related to this thread?
Yes, thank you.
I fixed the problem by using this (yet) unmerged pull request:
Just for me to clarify.
Is this a problem due to some fastbook imports or is the issue a general problem within the current fastai version (e.g.: dataloaders train & valid transformations are generally inconsistent)?
Hello, while I am getting the same accuracy, my runtimes are much longer (~40:00) than what’s shown in the lesson or here (~00:25). I am using Google Cloud Platform (GCP) AI notebook instance with a Nvidia Tesla K80 GPU, 4 CPUs & 26GB RAM. This is making my progress very slow.
Do someone have experience with GCP that can help me out?
Something else I find curious is, the GPU runs at 100%, even though I have just started the notebook or it’s idle.