[Python] How do I increment a variable after each training iteration using the CatBoost...

As the title says, I'm trying to increment a variable after each training iteration using the Catboost Classifier, to update a progress bar in a gui, and I can't seem to find anything about it on the internet.

So far I've tried to make a class containing an after_iteration function and passing that or an instance of it as a parameter the fit method:

class Test_Callback():
def after_iteration(self, info):
global progress
progress += 1
test = Test_Callback()
model.fit(train_data, eval_set=test_data, callbacks=[test])
#Alternatively pass the class directly
model.fit(train_data, eval_set=test_data, callbacks=[Test_Callback()])


This does increment the variable, but also ends the training after a single iteration.
I've also tried passing an after_iteration() - function to the callbacks parameter directly, but it just crashes the script.

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