python lgbm_llm.py --seed 0 --data_path ./data/Adult_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Adult_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Adult_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Adult_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Adult_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Adult_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/Adult_flan-t5-xxl_3-shot_0_nl --cv_folds 5 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/adult_shuffled_zero_flan --train_size 20 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/adult_shuffled_zero_flan --train_size 50 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/adult_shuffled_zero_flan --train_size 100 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/adult_shuffled_zero_flan --train_size 200 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/adult_shuffled_zero_flan --train_size 500 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/adult_shuffled_zero_flan --train_size 1000 --cv_folds 20
# python lgbm_llm.py --seed 0 --data_path ./data/adult_shuffled_zero_flan --cv_folds 5 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/adult_direct_zero_flan --train_size 20 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/adult_direct_zero_flan --train_size 50 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/adult_direct_zero_flan --train_size 100 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/adult_direct_zero_flan --train_size 200 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/adult_direct_zero_flan --train_size 500 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/adult_direct_zero_flan --train_size 1000 --cv_folds 20
# python lgbm_llm.py --seed 0 --data_path ./data/adult_direct_zero_flan --cv_folds 5 --val_size 0.2

python lgbm_llm.py --seed 0 --data_path ./data/Abalone_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Abalone_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Abalone_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Abalone_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Abalone_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Abalone_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/Abalone_flan-t5-xxl_3-shot_0_nl --cv_folds 10 --val_size 0.2 

python lgbm_llm.py --seed 0 --data_path ./data/BreastCancer_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/BreastCancer_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/BreastCancer_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/BreastCancer_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/BreastCancer_flan-t5-xxl_3-shot_0_nl --cv_folds 40 --val_size 0.2

python lgbm_llm.py --seed 0 --data_path ./data/Churn_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Churn_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Churn_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Churn_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Churn_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Churn_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/Churn_flan-t5-xxl_3-shot_0_nl --cv_folds 10 --val_size 0.2

python lgbm_llm.py --seed 0 --data_path ./data/HeartDisease_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/HeartDisease_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/HeartDisease_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/HeartDisease_flan-t5-xxl_3-shot_0_nl --cv_folds 40 --val_size 0.2

python lgbm_llm.py --seed 0 --data_path ./data/Sharktank_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Sharktank_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Sharktank_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Sharktank_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Sharktank_flan-t5-xxl_3-shot_0_nl --cv_folds 40 --val_size 0.2

python lgbm_llm.py --seed 0 --data_path ./data/Statlog_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Statlog_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Statlog_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/Statlog_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Statlog_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Statlog_flan-t5-xxl_3-shot_0_nl --cv_folds 20 --val_size 0.2

python lgbm_llm.py --seed 0 --data_path ./data/UEFA_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/UEFA_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/UEFA_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/UEFA_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/UEFA_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/UEFA_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/UEFA_flan-t5-xxl_3-shot_0_nl --cv_folds 10 --val_size 0.2

python lgbm_llm.py --seed 0 --data_path ./data/Wine_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Wine_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Wine_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/Wine_flan-t5-xxl_3-shot_0_nl --cv_folds 40 --val_size 0.2

python lgbm_llm.py --seed 0 --data_path ./data/SoybeanLarge_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/SoybeanLarge_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/SoybeanLarge_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/SoybeanLarge_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 40 
python lgbm_llm.py --seed 0 --data_path ./data/SoybeanLarge_flan-t5-xxl_3-shot_0_nl --cv_folds 40 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/bank_flan-t5-xxl_3-shot_0_nl --train_size 8 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/bank_flan-t5-xxl_3-shot_0_nl --train_size 16 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/bank_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/bank_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/bank_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/bank_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/bank_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/bank_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/bank_flan-t5-xxl_3-shot_0_nl --cv_folds 5 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/calhousing_flan-t5-xxl_3-shot_0_nl --train_size 8 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/calhousing_flan-t5-xxl_3-shot_0_nl --train_size 16 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/calhousing_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/calhousing_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/calhousing_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/calhousing_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/calhousing_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/calhousing_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/calhousing_flan-t5-xxl_3-shot_0_nl --cv_folds 5 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/income_flan-t5-xxl_3-shot_0_nl --train_size 8 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/income_flan-t5-xxl_3-shot_0_nl --train_size 16 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/income_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/income_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/income_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/income_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/income_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/income_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/income_flan-t5-xxl_3-shot_0_nl --cv_folds 5 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/jungle_flan-t5-xxl_3-shot_0_nl --train_size 8 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/jungle_flan-t5-xxl_3-shot_0_nl --train_size 16 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/jungle_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/jungle_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/jungle_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/jungle_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/jungle_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/jungle_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/jungle_flan-t5-xxl_3-shot_0_nl --cv_folds 5 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/blood_flan-t5-xxl_3-shot_0_nl --train_size 8 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/blood_flan-t5-xxl_3-shot_0_nl --train_size 16 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/blood_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/blood_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/blood_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/blood_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/blood_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/blood_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/blood_flan-t5-xxl_3-shot_0_nl --cv_folds 10 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/car_flan-t5-xxl_3-shot_0_nl --train_size 8 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/car_flan-t5-xxl_3-shot_0_nl --train_size 16 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/car_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/car_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/car_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/car_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/car_flan-t5-xxl_3-shot_0_nl --cv_folds 10 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/creditg_flan-t5-xxl_3-shot_0_nl --train_size 8 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/creditg_flan-t5-xxl_3-shot_0_nl --train_size 16 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/creditg_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/creditg_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/creditg_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/creditg_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/creditg_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/creditg_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/creditg_flan-t5-xxl_3-shot_0_nl --cv_folds 10 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/diabetes_flan-t5-xxl_3-shot_0_nl --train_size 8 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/diabetes_flan-t5-xxl_3-shot_0_nl --train_size 16 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/diabetes_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/diabetes_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/diabetes_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/diabetes_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/diabetes_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/diabetes_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/diabetes_flan-t5-xxl_3-shot_0_nl --cv_folds 10 --val_size 0.2

# python lgbm_llm.py --seed 0 --data_path ./data/heart_flan-t5-xxl_3-shot_0_nl --train_size 8 --cv_folds 40
# python lgbm_llm.py --seed 0 --data_path ./data/heart_flan-t5-xxl_3-shot_0_nl --train_size 16 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/heart_flan-t5-xxl_3-shot_0_nl --train_size 20 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/heart_flan-t5-xxl_3-shot_0_nl --train_size 50 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/heart_flan-t5-xxl_3-shot_0_nl --train_size 100 --cv_folds 40
python lgbm_llm.py --seed 0 --data_path ./data/heart_flan-t5-xxl_3-shot_0_nl --train_size 200 --cv_folds 20
python lgbm_llm.py --seed 0 --data_path ./data/heart_flan-t5-xxl_3-shot_0_nl --train_size 500 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/heart_flan-t5-xxl_3-shot_0_nl --train_size 1000 --cv_folds 10
python lgbm_llm.py --seed 0 --data_path ./data/heart_flan-t5-xxl_3-shot_0_nl --cv_folds 10 --val_size 0.2