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Not to disappoint you but this is perfectly normal. You have not specified a feature type, so it uses the default HAAR wavelets, which take time to process. Models have been reported to train for multiple days before even reaching a stable state. LBP features go a bit faster, but can still take a long time. It depends on your data, how easy it is to retrieve actual negatives that are descriminative enough.
So basically wait and see how your result looks like.
Larger models, using multiple thousands of training samples have even reported to be running over a week before completion. For example, I have an LBP model training for the moment on a basic quadcore laptop and stage 5 has been training for 15 hours now but it is still continuing. Just need to be patient.
