python xgb_llm.py --seed 0 --data_path ./data/Adult_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Adult_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Adult_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Adult_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Adult_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Adult_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/Adult_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 5 --val_size 0.2

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

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

python xgb_llm.py --seed 0 --data_path ./data/Abalone_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Abalone_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Abalone_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Abalone_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Abalone_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Abalone_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/Abalone_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 10 --val_size 0.2 

python xgb_llm.py --seed 0 --data_path ./data/BreastCancer_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/BreastCancer_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/BreastCancer_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/BreastCancer_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/BreastCancer_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 40 --val_size 0.2

python xgb_llm.py --seed 0 --data_path ./data/Churn_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Churn_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Churn_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Churn_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Churn_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Churn_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/Churn_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 10 --val_size 0.2

python xgb_llm.py --seed 0 --data_path ./data/HeartDisease_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/HeartDisease_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/HeartDisease_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/HeartDisease_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 40 --val_size 0.2

python xgb_llm.py --seed 0 --data_path ./data/Sharktank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Sharktank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Sharktank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Sharktank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Sharktank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 40 --val_size 0.2

python xgb_llm.py --seed 0 --data_path ./data/Statlog_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Statlog_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Statlog_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/Statlog_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Statlog_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Statlog_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 20 --val_size 0.2

python xgb_llm.py --seed 0 --data_path ./data/UEFA_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/UEFA_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/UEFA_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/UEFA_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/UEFA_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/UEFA_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/UEFA_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 10 --val_size 0.2

python xgb_llm.py --seed 0 --data_path ./data/Wine_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Wine_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Wine_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/Wine_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 40 --val_size 0.2

python xgb_llm.py --seed 0 --data_path ./data/SoybeanLarge_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/SoybeanLarge_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/SoybeanLarge_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/SoybeanLarge_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 40 
python xgb_llm.py --seed 0 --data_path ./data/SoybeanLarge_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 40 --val_size 0.2

# python xgb_llm.py --seed 0 --data_path ./data/bank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 8 --cv_folds 40
# python xgb_llm.py --seed 0 --data_path ./data/bank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 16 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/bank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/bank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/bank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/bank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/bank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/bank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/bank_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 5 --val_size 0.2

# python xgb_llm.py --seed 0 --data_path ./data/calhousing_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 8 --cv_folds 40
# python xgb_llm.py --seed 0 --data_path ./data/calhousing_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 16 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/calhousing_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/calhousing_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/calhousing_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/calhousing_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/calhousing_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/calhousing_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/calhousing_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 5 --val_size 0.2

# python xgb_llm.py --seed 0 --data_path ./data/income_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 8 --cv_folds 40
# python xgb_llm.py --seed 0 --data_path ./data/income_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 16 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/income_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/income_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/income_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/income_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/income_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/income_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/income_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 5 --val_size 0.2

# python xgb_llm.py --seed 0 --data_path ./data/jungle_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 8 --cv_folds 40
# python xgb_llm.py --seed 0 --data_path ./data/jungle_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 16 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/jungle_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/jungle_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/jungle_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/jungle_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/jungle_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/jungle_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/jungle_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 5 --val_size 0.2

# python xgb_llm.py --seed 0 --data_path ./data/blood_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 8 --cv_folds 40
# python xgb_llm.py --seed 0 --data_path ./data/blood_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 16 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/blood_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/blood_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/blood_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/blood_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/blood_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/blood_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/blood_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 10 --val_size 0.2

# python xgb_llm.py --seed 0 --data_path ./data/car_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 8 --cv_folds 40
# python xgb_llm.py --seed 0 --data_path ./data/car_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 16 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/car_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/car_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/car_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/car_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/car_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 10 --val_size 0.2

# python xgb_llm.py --seed 0 --data_path ./data/creditg_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 8 --cv_folds 40
# python xgb_llm.py --seed 0 --data_path ./data/creditg_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 16 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/creditg_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/creditg_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/creditg_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/creditg_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/creditg_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/creditg_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/creditg_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 10 --val_size 0.2

# python xgb_llm.py --seed 0 --data_path ./data/diabetes_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 8 --cv_folds 40
# python xgb_llm.py --seed 0 --data_path ./data/diabetes_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 16 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/diabetes_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/diabetes_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/diabetes_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/diabetes_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/diabetes_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/diabetes_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/diabetes_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 10 --val_size 0.2

# python xgb_llm.py --seed 0 --data_path ./data/heart_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 8 --cv_folds 40
# python xgb_llm.py --seed 0 --data_path ./data/heart_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 16 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/heart_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 20 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/heart_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 50 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/heart_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 100 --cv_folds 40
python xgb_llm.py --seed 0 --data_path ./data/heart_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 200 --cv_folds 20
python xgb_llm.py --seed 0 --data_path ./data/heart_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 500 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/heart_Meta-Llama-3-8B-Instruct_3-shot_0_nl --train_size 1000 --cv_folds 10
python xgb_llm.py --seed 0 --data_path ./data/heart_Meta-Llama-3-8B-Instruct_3-shot_0_nl --cv_folds 10 --val_size 0.2