like the student who created cricket vs baseball i am trying to create a soccer vs rugby model, i have about 60-65 images in train set for both and 10-15 in valid set. now when i am training using the data = ImageDataBunch.from_folder(path, ds_tfms=get_transforms(), size=224) method. i am getting warnings like /usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:2854: UserWarning: The default behavior for interpolate/upsample with float scale_factor will change in 1.6.0 to align with other frameworks/libraries, and use scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. **
** warnings.warn("The default behavior for interpolate/upsample with float scale_factor will change " in almost every command that i pass in.
and after some time i get the following message when i try to unfreeze it the model and try to plot the learning rate
my accuracy is also like 75% so plz help me i mean where am i going wrong