device='0'
model='llava_v1.5_7B'
# categories=("privacy" "bias" "toxicity" "hallucination" "legality")
categories='all'

validate_dataset='POPE'
probe_dataset='flickr30k'
# categories=("legality")
# --use_random_dir
# --use_all_captions

# alpha_list=(1 3 5 7 9)
alpha_list=(1)


for alpha in "${alpha_list[@]}"; do
    echo $num_head $alpha
    python inference_iti_i2t.py --model $model \
                    --probe_dataset $probe_dataset \
                    --validate_dataset $validate_dataset \
                    --categories $categories \
                    --log_file "logs/evaluate-${category}_${model}.log" \
                    --device $device \
                    --alpha $alpha \
                    --subfix '_wonorm'
done