I have noticed that when i used fine_tune with SaveModelCallback, the tracking of the best metric, accuracy in this case is done separately for first epoch with frozen weights, and then for ‘normal’ training. In most cases that’s probably fine since the result should be better with unfrozen training, but there may be some scenarios like the below example where this is not the case.
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