Yes, I encountered similar issue.
My analysis on one month twitter sentiment analysis data (around 1800 samples), got nearly 65 to 72% accuracy in Logistic when it is implemented via sklearn.
But the performance is not going beyond 48 to 49% when I implemented logistic regression on the same data  with Pytorch.
Wondering why?