You may want to read this thread on how to use fit_one_cycle in practice
To answer your question directly, you’ll need to do a little guesswork. Use lr_find to look at the learning rates that will fit, and see if they actually need to change. If I were you, I’d stick with the same arguments as before, let it fit, and see how the model performs. Then, perhaps I’d go back to the start, train with the initial arguments for 4 epochs, and after, see if a new learning rate is appropriate.
Besides that, does your online env disconnect because it believes the session is idle? What kind of env are you on? Is this in a notebook of some kind?