Image Classification (CIFAR-10) on Kaggle

Why are these differences?
loss nan?

Hi! My test dataset has 10000 images starting from 40001.png
When I run the submission file and upload it on Kaggle, it gives me an accuracy of 71%, whereas in the graph after it is run, it shows validation accuracy as 91.2%. Any help here?