invgan_kd.sh

# for similar domains and different domains
srcd=(wa1 ab ds da dzy fz ri ri ia ia b2 b2)
tgtd=(ab wa1 da ds fz dzy ab wa1 da ds fz dzy)
ne=20
cudaid=0

for seed in 3000 1000 42 10 0    
do 
    for i in 0 1 2 3
    do
            CUDA_VISIBLE_DEVICES=$cudaid python ../main/main_invgan_kd.py \
                --pretrain \
                --adapt \
                --src ${srcd[$i]} \
                --tgt ${tgtd[$i]} \
                --srcfix ""\
                --tgtfix ""\
                --max_seq_length 128 \
                --train_seed $seed \
                --num_epochs $ne \
                --pre_epochs 5\
                --d_learning_rate 1e-5\
                --beta 1
    done
done

for seed in 3000 1000 42 10 0    
do 
    for i in 4 5
    do
            CUDA_VISIBLE_DEVICES=$cudaid python ../main/main_invgan_kd.py \
                --pretrain \
                --adapt \
                --src ${srcd[$i]} \
                --tgt ${tgtd[$i]} \
                --srcfix ""\
                --tgtfix ""\
                --max_seq_length 128 \
                --train_seed $seed \
                --num_epochs $ne \
                --pre_epochs 5\
                --d_learning_rate 1e-6\
                --beta 1
    done
done


for seed in 3000 1000 42 10 0    
do 
    for i in 6 7 8 9 10 11
    do
            CUDA_VISIBLE_DEVICES=$cudaid python ../main/main_invgan_kd.py \
                --pretrain \
                --adapt \
                --src ${srcd[$i]} \
                --tgt ${tgtd[$i]} \
                --srcfix ""\
                --tgtfix ""\
                --max_seq_length 128 \
                --train_seed $seed \
                --num_epochs $ne \
                --pre_epochs 5\
                --d_learning_rate 1e-6\
                --beta 5
    done
done

# for WDC datasets
srcd=(computers cameras shoes computers cameras computers)
tgtd=(watches watches watches shoes shoes cameras)
cudaid=0
ne=40

for seed in 3000 1000 42 10 0    
do 
    for i in 0 1 2 3 4 5 6
    do 
            CUDA_VISIBLE_DEVICES=$cudaid python ../main/main_invgan_kd.py \
                --pretrain \
                --adapt \
                --src ${srcd[$i]} \
                --tgt ${tgtd[$i]} \
                --srcfix ""\
                --tgtfix ""\
                --max_seq_length 256 \
                --train_seed $seed \
                --num_epochs $ne \
                --pre_epochs 5 \
                --d_learning_rate 1e-5

            CUDA_VISIBLE_DEVICES=$cudaid python ../main/main_invgan_kd.py \
                --pretrain \
                --adapt \
                --src ${tgtd[$i]} \
                --tgt ${srcd[$i]} \
                --srcfix ""\
                --tgtfix ""\
                --max_seq_length 256 \
                --train_seed $seed \
                --num_epochs $ne \
                --pre_epochs 5 \
                --d_learning_rate 1e-5

    done
done