python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "AQShunyi.csv" --strategy-args '{"horizon": 96}' --model-name "patchmlp.PatchMLP" --model-hyper-params '{"batch_size": 32, "d_model": 2048, "dropout": 0.05, "e_layers": 1, "horizon": 96, "lr": 0.0001, "norm": true, "num_epochs": 20, "patience": 6, "seq_len": 336, "srs_alpha": 2.0, "srs_dropout": 0.0, "srs_hidden_size": 256, "srs_pos": true}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "AQShunyi/PatchMLP"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "AQShunyi.csv" --strategy-args '{"horizon": 192}' --model-name "patchmlp.PatchMLP" --model-hyper-params '{"batch_size": 64, "d_model": 1024, "dropout": 0.1, "e_layers": 3, "horizon": 192, "lr": 0.0001, "norm": true, "seq_len": 336}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "AQShunyi/PatchMLP"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "AQShunyi.csv" --strategy-args '{"horizon": 336}' --model-name "patchmlp.PatchMLP" --model-hyper-params '{"batch_size": 64, "d_model": 1024, "dropout": 0.1, "e_layers": 1, "horizon": 336, "lr": 0.0001, "norm": true, "seq_len": 336}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "AQShunyi/PatchMLP"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "AQShunyi.csv" --strategy-args '{"horizon": 720}' --model-name "patchmlp.PatchMLP" --model-hyper-params '{"batch_size": 32, "d_model": 1024, "dropout": 0.05, "e_layers": 1, "horizon": 720, "lr": 0.0001, "norm": true, "num_epochs": 20, "patience": 6, "seq_len": 336, "srs_alpha": 2.0, "srs_dropout": 0.0, "srs_hidden_size": 256, "srs_pos": true}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "AQShunyi/PatchMLP"

