I mean loss by error.


when I try on two examples, loss goes down but very slowly, and even after 1K iterations, when I test the model on the same data used for training the results look pretty bad.


I am already using teacher forcing both for the encoder and the decoder. I guess there is no other way to train a recurrent network with batch training if you don’t use teacher forcing.


Thanks for the link to your code. I had a brief look at it but will come back to it to have a more profound understanding. To train your model you use one sentence at a time and not a batch of sentences, right?