Why does the graph when plotted of the output predicted vector of model looks same for different inputs.
I’m trying to make a N_beats model work for predicting next 7 days electricity usage by giving it past info about electricity usage, the model’s training and testing loss go down similarly to very small values but after giving it the same test data and plotting the output vector it always shows the same graph, why so?
I’m using Adam optimizer, loss_fn is L1Loss