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# python -u pope_eval.py --model llava-1.5 --data_path /mnt/bn/life-mllm/users/cxr/hallucination/datasets/val2014 --pope-type random --gpu-id 0
# python -u pope_eval.py --model llava-1.5 --data_path /mnt/bn/life-mllm/users/cxr/hallucination/datasets/val2014 --pope-type popular --gpu-id 0
# python -u pope_eval.py --model llava-1.5 --data_path /mnt/bn/life-mllm/users/cxr/hallucination/datasets/val2014 --pope-type adversarial --gpu-id 0
# python chair.py --cap_file tmp.jsonl --image_id_key image_id --caption_key caption --coco_path /mnt/bn/life-mllm/users/cxr/hallucination/datasets/annotations_trainval2014/annotations --save_path chair_ans/tmp.jsonl
for i in {1..500}; do
echo "$i"
now=$(date "+%Y%m%d_%H%M%S")
# nohup bash eval_chair_base.sh 2 $now > case_study_logs2/llava-1.5_${now}.log 2>&1 &
bash eval_chair_base.sh 2 $now $i
echo $now
done