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run_MMEA.sh
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#!/bin/sh
cd ..
# CUDA_VISIBLE_DEVICES=0 python3 run.py --log mmea \
# --data_dir "data/DBP15K/zh_en" \
# --rate 0.3 \
# --epoch 1000 \
# --check 10 \
# --update 10 \
# --train_batch_size 20000 \
# --share \
# --rerank \
# --encoder "" \
# --hiddens "300" \
# --decoder "MMEA" \
# --sampling "T" \
# --k "10" \
# --alpha "1" \
# --feat_drop 0.0 \
# --lr 0.01 \
# --test_dist "inner"
# CUDA_VISIBLE_DEVICES=0 python3 run.py --log mmea \
# --data_dir "data/DBP15K/ja_en" \
# --rate 0.3 \
# --epoch 1000 \
# --check 10 \
# --update 10 \
# --train_batch_size 20000 \
# --share \
# --rerank \
# --encoder "" \
# --hiddens "300" \
# --decoder "MMEA" \
# --sampling "T" \
# --k "10" \
# --alpha "1" \
# --feat_drop 0.0 \
# --lr 0.01 \
# --test_dist "inner"
# CUDA_VISIBLE_DEVICES=0 python3 run.py --log mmea \
# --data_dir "data/DBP15K/fr_en" \
# --rate 0.3 \
# --epoch 1000 \
# --check 10 \
# --update 10 \
# --train_batch_size 20000 \
# --share \
# --rerank \
# --encoder "" \
# --hiddens "300" \
# --decoder "MMEA" \
# --sampling "T" \
# --k "10" \
# --alpha "1" \
# --feat_drop 0.0 \
# --lr 0.01 \
# --test_dist "inner"