Let’s say I have one autoencoder model that should be trained on 20 epochs. (any model can be done)
Does training 20 epochs straight is the same as saving model at 10 epochs and re-run it on for 10 epochs?
I had set the seed part like this.
torch.manual_seed(0) torch.backends.cudnn.deterministic = True torch.backends.cudnn.benchmark = False np.random.seed(0)
I am using the “load_state_dict” method for loading the model. What I’m concerning is that loading the model could affect the model performance