# python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh1.csv" --strategy-args '{"horizon": 96}' --model-name "time_series_library.CSMoE" --model-hyper-params '{"CI": 0, "batch_size": 256, "d_model": 512, "dropout": 0.4, "e_layers": 2, "fc_dropout": 0.1, "horizon": 96, "loss": "Masked_MAE", "lr": 0.02, "lradj": "type1", "norm": true, "num_epochs": 100, "num_experts": 1, "lambda1": 5.0, "patience": 5, "seq_len": 512}' --adapter "transformer_adapter" --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh1/CSMoE"

# python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh1.csv" --strategy-args '{"horizon": 192}' --model-name "time_series_library.CSMoE" --model-hyper-params '{"CI": 0, "batch_size": 256, "d_model": 512, "dropout": 0.5, "e_layers": 2, "fc_dropout": 0.1, "horizon": 192, "loss": "Masked_MAE", "lr": 0.02, "lradj": "type1", "norm": true, "num_epochs": 100, "num_experts": 2, "lambda1": 5.0, "patience": 5, "seq_len": 512}' --adapter "transformer_adapter" --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh1/CSMoE"

# python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh1.csv" --strategy-args '{"horizon": 336}' --model-name "time_series_library.CSMoE" --model-hyper-params '{"CI": 1, "batch_size": 256, "d_model": 512, "dropout": 0.5, "e_layers": 2, "fc_dropout": 0.05, "horizon": 336, "loss": "Masked_MAE", "lr": 0.02, "lradj": "type1", "norm": true, "num_epochs": 100, "num_experts": 2, "lambda1": 5.0, "patience": 5, "seq_len": 512}' --adapter "transformer_adapter" --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh1/CSMoE"

# python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh1.csv" --strategy-args '{"horizon": 720}' --model-name "time_series_library.CSMoE" --model-hyper-params '{"batch_size": 256, "CI": 1, "d_model": 512, "dropout": 0.5, "e_layers": 1, "fc_dropout": 0.1, "horizon": 720, "loss": "Masked_MAE", "lr": 0.02, "lradj": "type1", "norm": true, "num_epochs": 100, "num_experts": 2, "lambda1": 10.0, "patience": 5, "seq_len": 512}' --adapter "transformer_adapter" --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh1/CSMoE"

