I am using pycharm, connected to paperspace, to fine-tune a pre-trained model as per Lesson 6 of the 2022 course.
Everything seems to work correctly but for the fact that I can’t seem to get pycharm to print-out the table that shows the error rate and other metrics per epoch:
The same thing happens with vscode. I believe it has to do with the fact that I am connected to a remote server. Everything else prints out correctly - I can preview images, see the suggested LR graph, etc.
When I copy the code into paperspace and run it in one of their notebooks, I get the expected loading bars and table:
I’m wondering if anyone knows a way to make the learn.fine_tune “louder” - to force it to print more explicitly.
My code is identical (direct download) to the “road to the top pt 1” notebook: First Steps: Road to the Top, Part 1 | Kaggle
Further information: The model does train – When I include
cbs = CSVLogger() in my vision learner declaration, it produces a credible-looking file: