device='3'
model='llava_v1.5_7B'
# categories=("privacy" "bias" "toxicity" "hallucination" "legality")
categories='adversarial'

validate_dataset='POPE'
probe_dataset='POPE_train'
probe_mode='I+Q;C_p2+Q_best'
# categories=("legality")

num_heads_list=(16 32 48 64)
alpha_list=(3 5 7)

for num_head in "${num_heads_list[@]}"; do
  # 内层循环
    for alpha in "${alpha_list[@]}"; do
        echo $num_head $alpha
        python inference_iti_negmode.py --model $model \
                        --validate_dataset $validate_dataset \
                        --probe_dataset $probe_dataset \
                        --categories $categories \
                        --probe_mode $probe_mode \
                        --log_file "logs/evaluate-${category}_${model}.log" \
                        --device $device \
                        --num_heads $num_head \
                        --alpha $alpha \
                        --subfix "_train_${probe_mode}" \
                        --use_center_of_mass
        
        subfix="_${num_head}_${alpha}_train_${probe_mode}"
        python eval/pope_eval.py --model $model \
                        --dimensions $categories \
                        --log_file "logs/evaluate-${category}_${model}.log" \
                        --device $device \
                        --validate_dataset $validate_dataset \
                        --subfix $subfix
    done
done