if [ ! -d "./logs" ]; then
    mkdir ./logs
fi

if [ ! -d "./logs/LongForecasting" ]; then
    mkdir ./logs/LongForecasting
fi
model_name=PETformer

root_path_name=./dataset/
data_path_name=ETTh2.csv
model_id_name=ETTh2
data_name=ETTh2

for seq_len in 48 96 192 336 480
do
    for pred_len in 96 192 336 720
    do
        python -u run_longExp.py \
          --is_training 1 \
          --root_path $root_path_name \
          --data_path $data_path_name \
          --model_id $model_id_name'_'$seq_len'_'$pred_len \
          --model $model_name \
          --data $data_name \
          --features M \
          --seq_len $seq_len \
          --pred_len $pred_len \
          --enc_in 7 \
          --d_model 512 \
          --ff_factor 2 \
          --n_heads 16 \
          --e_layers 4 \
          --dropout 0.5 \
          --win_len 48 \
          --win_stride 48 \
          --channel_attn 1 \
          --attn_type 0 \
          --des 'Exp' \
          --loss 'smooth' \
          --patience 10 \
          --train_epochs 50 \
          --itr 1 --batch_size 128 --learning_rate 0.0001 >logs/LongForecasting/$model_name'_'$model_id_name'_'$seq_len'_'$pred_len.log
    done
done
