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export CUDA_VISIBLE_DEVICES=0
forward_layers=2
stride=1
lr=0.0001
lradj="type1"
python -u imputation.py \
--task_name "imputation" \
--dataset_name "weather" \
--data "weather" \
--root_path "./datasets/weather/" \
--data_path "weather.csv" \
--mask_rate 0.125 \
--forward_layers $forward_layers \
--stride $stride \
--batch_size 8 \
--learning_rate $lr \
--lradj $lradj \
python -u imputation.py \
--task_name "imputation" \
--dataset_name "weather" \
--data "weather" \
--root_path "./datasets/weather/" \
--data_path "weather.csv" \
--mask_rate 0.25 \
--forward_layers $forward_layers \
--stride $stride \
--batch_size 32 \
--learning_rate 0.00025 \
--lradj $lradj \
python -u imputation.py \
--task_name "imputation" \
--dataset_name "weather" \
--data "weather" \
--root_path "./datasets/weather/" \
--data_path "weather.csv" \
--mask_rate 0.375 \
--forward_layers $forward_layers \
--stride $stride \
--batch_size 4 \
--learning_rate $lr \
--lradj $lradj \
python -u imputation.py \
--task_name "imputation" \
--dataset_name "weather" \
--data "weather" \
--root_path "./datasets/weather/" \
--data_path "weather.csv" \
--mask_rate 0.50 \
--forward_layers $forward_layers \
--stride $stride \
--batch_size 4 \
--learning_rate $lr \
--lradj "type2" \