However, we find training a two-pass model from scratch tends to be unstable in practice<cite> [10]</cite> , and thus use a two-step training process: Train the RNN-T as in [6] , and then fix the RNN-T parameters and only train the deliberation decoder and additional encoder layers as in [7, <cite>10]</cite> .