When I evaluate the model during training, it get a decent reconstruction result and loss value finally. But when I use the same data set to test the trained model, the results are quite different from what I got during the training. What is the right way to do the evaluation after finishing training with the saved model? Right now, I just add the ckpt path to the YAML file, and it starts to evaluate without training. Where else should I adjust, or what else should I do?
When I evaluate the model during training, it get a decent reconstruction result and loss value finally. But when I use the same data set to test the trained model, the results are quite different from what I got during the training. What is the right way to do the evaluation after finishing training with the saved model? Right now, I just add the ckpt path to the YAML file, and it starts to evaluate without training. Where else should I adjust, or what else should I do?