| # Generate decompositions | |
| ST=0.0 | |
| LP=1.0 | |
| BEAM=5 | |
| SEED=0 | |
| # Point to model directory (change the final directory number/string/id below to match the directory string from the previous Unsupervised Seq2Seq training command) | |
| MODEL_DIR=dumped/umt.dev1.pseudo_decomp.replace_entity_by_type/20639223 | |
| MODEL_NO="$(echo $MODEL_DIR | rev | cut -d/ -f1 | rev)" | |
| for SPLIT in valid train; do | |
| # Note: Decrease batch size below if GPU goes out of memory | |
| cat data/umt/all/processed/$SPLIT.mh | python translate.py --exp_name translate --src_lang mh --tgt_lang sh --model_path $MODEL_DIR/best-valid_mh-sh-mh_mt_effective_goods_back_bleu.pth --output_path $MODEL_DIR/$SPLIT.pred.bleu.sh --batch_size 48 --beam_size $BEAM --length_penalty $LP --sample_temperature $ST | |
| done |