Questions about the number of model parameters and large data sets

[yanghan0617]

I noticed that the model has a small number of parameters, and when I train larger datasets, such as rain13k, DID, etc., it appears that only the loss decreases, but PSNR and SSIM do not grow. May I ask if it is a problem that the capacity of the model (number of parameters) is not enough to capture the complex relationships in the data and the model may not be able to predict accurately even if the loss decreases.