I am following official tutorial https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html 4 “Training a classifier”.
I used google colab to run the code. Each time I click run all cells, I get very different accuracy.
Like 1 time I got:
Accuracy of plane : 53 %
Accuracy of   car : 68 %
Accuracy of  bird : 37 %
Accuracy of   cat : 56 %
Accuracy of  deer : 37 %
Accuracy of   dog : 41 %
Accuracy of  frog : 63 %
Accuracy of horse : 53 %
Accuracy of  ship : 74 %
Accuracy of truck : 68 %
and another time:
Accuracy of plane : 54 %
Accuracy of   car : 62 %
Accuracy of  bird : 49 %
Accuracy of   cat : 30 %
Accuracy of  deer : 34 %
Accuracy of   dog : 36 %
Accuracy of  frog : 71 %
Accuracy of horse : 63 %
Accuracy of  ship : 82 %
Accuracy of truck : 70 %
I understand that seed is not used, but why we are getting so much different accuracy?. I mean what part of code is responsible for such a large variation and why?
Thanks a lot