python preprocess.py -train_src data/src-train.txt -train_tgt data/tgt-train.txt -valid_src data/src-val.txt -valid_tgt data/tgt-val.txt -save_data data/data -src_vocab_size 1000 -tgt_vocab_size 1000
python train.py -data data/data -save_model /n/rush_lab/data/tmp_ -world_size 1 -gpu_ranks 0 -hidden_size 100 -word_vec_size 50 -layers 1 -train_steps 100 -optim adam -learning_rate 0.001