python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_yearly.json"   --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel"  --model-hyper-params "{\"d_model\":8,\"d_ff\":16,\"factor\":3}" "{\"d_model\":8,\"d_ff\":16,\"patch_len\":4,\"stride\":2}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":8,\"d_ff\":16,\"factor\":3}" "{\"d_model\":8,\"d_ff\":16,\"factor\":3}"  "{\"d_model\":8,\"d_ff\":16,\"factor\":3}" "{\"d_model\":8,\"d_ff\":16,\"factor\":3}" "{\"d_model\":8,\"d_ff\":16,\"factor\":3}" "{\"d_model\":8,\"d_ff\":16,\"factor\":3}" "{\"d_model\":8,\"d_ff\":16,\"factor\":3}" "{\"d_model\":8,\"d_ff\":16,\"factor\":3}"  "{\"d_model\":8,\"d_ff\":16,\"factor\":3}" "{\"d_model\":8,\"d_ff\":16,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "yearly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_quarterly.json"   --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel"  --model-hyper-params "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"patch_len\":4,\"stride\":2}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "quarterly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_monthly.json"  --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel"  --model-hyper-params "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"patch_len\":8,\"stride\":4}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}"  "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}"  "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "monthly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_weekly.json"  --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel"  --model-hyper-params "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"patch_len\":8,\"stride\":4}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}"  "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}"  "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "weekly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_daily.json"   --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel"  --model-hyper-params "{\"d_model\":8,\"d_ff\":8,\"factor\":3}" "{\"d_model\":8,\"d_ff\":8,\"patch_len\":8,\"stride\":4}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":8,\"d_ff\":8,\"factor\":3}" "{\"d_model\":8,\"d_ff\":8,\"factor\":3}"  "{\"d_model\":8,\"d_ff\":8,\"factor\":3}" "{\"d_model\":8,\"d_ff\":8,\"factor\":3}" "{\"d_model\":8,\"d_ff\":8,\"factor\":3}" "{\"d_model\":8,\"d_ff\":8,\"factor\":3}" "{\"d_model\":8,\"d_ff\":8,\"factor\":3}" "{\"d_model\":8,\"d_ff\":8,\"factor\":3}"  "{\"d_model\":8,\"d_ff\":8,\"factor\":3}" "{\"d_model\":8,\"d_ff\":8,\"factor\":3}"  "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "daily"    --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_hourly.json"  --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel" --model-hyper-params "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"patch_len\":16,\"stride\":8}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}"  "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}"  "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "hourly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_other.json"    --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel"  --model-hyper-params "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"patch_len\":4,\"stride\":2}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-4}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "other"   --gpus 0  --num-workers 1 --timeout 60000


python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_yearly.json"  --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel" "darts.StatsForecastAutoETS" "darts.StatsForecastAutoCES" "darts.StatsForecastAutoTheta" "darts.AutoARIMA" --model-hyper-params "{\"d_model\":16,\"d_ff\":32,\"factor\":3}" "{\"d_model\":16,\"d_ff\":32,\"patch_len\":4,\"stride\":2}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":16,\"d_ff\":32,\"factor\":3}" "{\"d_model\":16,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":16,\"d_ff\":32,\"factor\":3}" "{\"d_model\":16,\"d_ff\":32,\"factor\":3}" "{\"d_model\":16,\"d_ff\":32,\"factor\":3}" "{\"d_model\":16,\"d_ff\":32,\"factor\":3}" "{\"d_model\":16,\"d_ff\":32,\"factor\":3}" "{\"d_model\":16,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":16,\"d_ff\":32,\"factor\":3}" "{\"d_model\":16,\"d_ff\":32,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "yearly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_quarterly.json"   --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel" "darts.StatsForecastAutoETS" "darts.StatsForecastAutoCES" "darts.StatsForecastAutoTheta" "darts.AutoARIMA" --model-hyper-params "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"patch_len\":4,\"stride\":2}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}"  "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}"  "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "quarterly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_monthly.json"   --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel" "darts.StatsForecastAutoETS" "darts.StatsForecastAutoCES" "darts.StatsForecastAutoTheta" "darts.AutoARIMA" --model-hyper-params "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"patch_len\":8,\"stride\":4}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "monthly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_weekly.json"   --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel" "darts.StatsForecastAutoETS" "darts.StatsForecastAutoCES" "darts.StatsForecastAutoTheta" "darts.AutoARIMA" --model-hyper-params "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"patch_len\":8,\"stride\":4}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "weekly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_daily.json"   --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel" "darts.StatsForecastAutoETS" "darts.StatsForecastAutoCES" "darts.StatsForecastAutoTheta" "darts.AutoARIMA" --model-hyper-params "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"patch_len\":8,\"stride\":4}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}"  "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}"  "{\"d_model\":16,\"d_ff\":16,\"factor\":3}" "{\"d_model\":16,\"d_ff\":16,\"factor\":3}"  "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "daily"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_hourly.json"    --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel" "darts.StatsForecastAutoETS" "darts.StatsForecastAutoCES" "darts.StatsForecastAutoTheta" "darts.AutoARIMA" --model-hyper-params "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"patch_len\":16,\"stride\":8}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}"  "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"d_model\":32,\"d_ff\":32,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "hourly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_other.json"    --model-name  "time_series_library.Triformer"  "time_series_library.PatchTST"  "time_series_library.Nonstationary_Transformer" "time_series_library.Informer" "time_series_library.TimesNet" "time_series_library.FEDformer" "time_series_library.NLinear"  "time_series_library.Linear"  "time_series_library.DLinear"  "time_series_library.FiLM" "time_series_library.MICN" "time_series_library.Crossformer" "darts.TCNModel" "darts.NBEATSModel" "darts.NHiTSModel" "darts.BlockRNNModel" "darts.StatsForecastAutoETS" "darts.StatsForecastAutoCES" "darts.StatsForecastAutoTheta" "darts.AutoARIMA" --model-hyper-params "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"patch_len\":4,\"stride\":2}"  "{\"p_hidden_layers\":2,\"p_hidden_dims\":[256,256],\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}"  "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}"  "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"d_model\":64,\"d_ff\":64,\"factor\":3}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}" "{\"n_epochs\":5,\"batch_size\":16,\"optimizer_kwargs\":{\"lr\":1e-3}}"  --adapter "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" "transformer_adapter" --save-path "other"   --gpus 0  --num-workers 8 --timeout 60000


python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_yearly.json" --model-name  "darts.NaiveMean"  "darts.NaiveSeasonal" "darts.NaiveDrift" "darts.NaiveMovingAverage"  "darts.RNNModel" "darts.BlockRNNModel" "darts.TiDEModel" --save-path "yearly"   --gpus 0   --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_quarterly.json" --model-name  "darts.NaiveMean"  "darts.NaiveSeasonal" "darts.NaiveDrift" "darts.NaiveMovingAverage"  "darts.RNNModel" "darts.BlockRNNModel" "darts.TiDEModel"  --save-path "quarterly"    --gpus 0 --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_monthly.json" --model-name  "darts.NaiveMean"  "darts.NaiveSeasonal" "darts.NaiveDrift" "darts.NaiveMovingAverage"  "darts.RNNModel" "darts.BlockRNNModel" "darts.TiDEModel"   --save-path "monthly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_weekly.json" --model-name  "darts.NaiveMean"  "darts.NaiveSeasonal" "darts.NaiveDrift" "darts.NaiveMovingAverage"  "darts.RNNModel" "darts.BlockRNNModel" "darts.TiDEModel"   --save-path "weekly"  --gpus 0 --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_daily.json"  --model-name  "darts.NaiveMean"  "darts.NaiveSeasonal" "darts.NaiveDrift" "darts.NaiveMovingAverage"  "darts.RNNModel" "darts.BlockRNNModel" "darts.TiDEModel"   --save-path "daily" --gpus 0 --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_hourly.json" --model-name  "darts.NaiveMean"  "darts.NaiveSeasonal" "darts.NaiveDrift" "darts.NaiveMovingAverage"  "darts.RNNModel" "darts.BlockRNNModel" "darts.TiDEModel"   --save-path "hourly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_other.json" --model-name  "darts.NaiveMean"  "darts.NaiveSeasonal" "darts.NaiveDrift" "darts.NaiveMovingAverage"  "darts.RNNModel" "darts.BlockRNNModel" "darts.TiDEModel"    --save-path "other"   --gpus 0  --num-workers 1 --timeout 60000 


python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_yearly.json" --model-name  "darts.LinearRegressionModel"  "darts.RandomForest" "darts.KalmanForecaster" "darts.XGBModel"   --save-path "yearly"   --gpus 0   --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_quarterly.json" --model-name  "darts.LinearRegressionModel"  "darts.RandomForest" "darts.KalmanForecaster" "darts.XGBModel"   --save-path "quarterly"    --gpus 0 --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_monthly.json" --model-name  "darts.LinearRegressionModel"  "darts.RandomForest" "darts.KalmanForecaster" "darts.XGBModel"   --save-path "monthly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_weekly.json" --model-name  "darts.LinearRegressionModel"  "darts.RandomForest" "darts.KalmanForecaster" "darts.XGBModel"   --save-path "weekly"  --gpus 0 --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_daily.json" --model-name  "darts.LinearRegressionModel"  "darts.RandomForest" "darts.KalmanForecaster" "darts.XGBModel"   --save-path "daily" --gpus 0 --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_hourly.json" --model-name  "darts.LinearRegressionModel"  "darts.RandomForest" "darts.KalmanForecaster" "darts.XGBModel"   --save-path "hourly"   --gpus 0  --num-workers 1 --timeout 60000
python ./scripts/run_benchmark.py --config-path "fixed_forecast_config_other.json"  --model-name  "darts.LinearRegressionModel"  "darts.RandomForest" "darts.KalmanForecaster" "darts.XGBModel"    --save-path "other"   --gpus 0  --num-workers 1 --timeout 60000
