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I just want to make it more versatile to any augmentation pipeline I want to use. or maybe that’s the incorrect way? Does anyone else mess with the dataset classes only me? (asking the others)
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I deleted it to show the result “my way” of training the random pick one from scratch.
My main pipeline is consist of pretraining, using the model to select purchases, resetting the weight then train it from scratch. I don’t think pretraining won’t do anything helpful if I want to do that. -
I think reproducing is supposed to be doing the same and using the same thing. so probably just like you guess or the maybe seed. thanks for the indirect suggestion I’ll try to add every method from here Reproducibility — PyTorch 1.10 documentation
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sorry for that I guess?
hi @shivam , sorry to drag you in, just to make sure are there any specific rules about only using a certain way in making the solution (like class, code writing, ml pipelines, frameworks, save path, etc)?