Some questions in training step

[rose-jinyang]

Hello How are you? Thanks for contributing to this project. I am going to train a model on my custom dataset which contains about 5500 high-quality samples without corresponding low-quality samples. So I introduced to generate corresponding low-quality image for high-quality image in DataLoaderTrain class (dataset_RGB.py). For this, I used several blur augmentations of albumentations library. I trained a model for 2000 epochs. the input patch size into the model is still 256 as your setting. Do you think if there is any problem in my training strategy? For example, Is the total training epochs(2000 epochs) enough? May I use other patch size rather than 256? How can I train M3SNet-64 rather than M3SNet-32?