I ran this block of code on Colab from the Book(01_intro.ipynb)
from fastai.vision.all import * path = untar_data(URLs.PETS)/'images' def is_cat(x): return x.isupper() dls = ImageDataLoaders.from_name_func( path, get_image_files(path), valid_pct=0.2, seed=42, label_func=is_cat, item_tfms=Resize(224)) learn = vision_learner(dls, resnet34, metrics=error_rate) learn.fine_tune(1)
And the line
**learn.fine_tune(1)** , just takes forever. It took 57 mins total to fine-tune (though downloading the dataset and model took less than a min)
Is this normal?