Suppose that I trained a dataset using the YOLO12x model for 300 epochs and got the satisfied results, then at the moment, I want to train this dataset using the YOLO12n model, and thus how many training epochs should I need to set to achieve the same results? Thank you very much.
(Note: Assume that other training parameters of the two models are the same.)
You can’t really calculate this. Because the reason the smaller model performs worse has very little to do with number of epochs. It’s mostly to do with lower model capacity. There’s no guarantee that the smaller model will ever reach the same performance as larger model. In most cases, it never does. As that would make the larger model redundant.