MrBlankness/LightM-UNet

dice on training set 0.85 and val set is 0.007?

Caipengzhou opened this issue · 1 comments

Hello, I follow the steps of readme to train and reason, but the results on the training set (dice:0.85) and the verification set (dice:0.007) are very different. Note: The training set and the val set are fixed, there is no random division, what is the reason?

Maybe your model is became overfit or your data is imbalance(maybe data augmentation can help you here), etc

p.n I considered that you want to use this model for another dataset