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export CUDA_VISIBLE_DEVICES=4
seq_len=336
stride=8
batch_size=4
lr=0.0001
lradj="type1"
python -u long_term_forecast.py \
--task_name "long_term_forecast" \
--dataset_name "traffic" \
--data "custom" \
--root_path "./datasets/traffic/" \
--data_path "traffic.csv" \
--seq_len $seq_len \
--pred_len 96 \
--forward_layers 3 \
--stride $stride \
--batch_size $batch_size \
--learning_rate $lr \
--lradj $lradj \
--num_workers 5 \
--enc_in 862 \
--train_epochs 16 \
--patience 3 \
python -u long_term_forecast.py \
--task_name "long_term_forecast" \
--dataset_name "traffic" \
--data "custom" \
--root_path "./datasets/traffic/" \
--data_path "traffic.csv" \
--seq_len $seq_len \
--pred_len 192 \
--forward_layers 3 \
--stride $stride \
--batch_size $batch_size \
--learning_rate $lr \
--lradj $lradj \
--num_workers 5 \
--enc_in 862 \
--train_epochs 16 \
--patience 3 \
python -u long_term_forecast.py \
--task_name "long_term_forecast" \
--dataset_name "traffic" \
--data "custom" \
--root_path "./datasets/traffic/" \
--data_path "traffic.csv" \
--seq_len $seq_len \
--pred_len 336 \
--forward_layers 3 \
--stride $stride \
--batch_size $batch_size \
--learning_rate $lr \
--lradj $lradj \
--num_workers 5 \
--enc_in 862 \
--train_epochs 16 \
--patience 3 \
python -u long_term_forecast.py \
--task_name "long_term_forecast" \
--dataset_name "traffic" \
--data "custom" \
--root_path "./datasets/traffic/" \
--data_path "traffic.csv" \
--seq_len $seq_len \
--pred_len 720 \
--forward_layers 3 \
--stride $stride \
--batch_size $batch_size \
--learning_rate $lr \
--lradj $lradj \
--num_workers 5 \
--enc_in 862 \
--train_epochs 16 \
--patience 3 \