I am solving many sequence-to-sequence prediction problems using RNN/LSTM.
What type of evaluation metrics can be used for sequence prediction problems?
One metric is the mean squared error (MSE) that we can give as a parameter during the training model. Currently, the accuracy of my sequence-to-sequence problems is very low.
What are other ways through which we can compare the performance of our models?