scripts/v1_5/eval/coco_gen_llava_raw/mmvet.sh

#!/bin/bash

python -m llava.eval.model_vqa \
    --model-path /mnt/petrelfs/zhuchenglin/LLaVA/checkpoints_ft/coco_gen_200k/llava-v1.5-13b-pretrain \
    --model-base lmsys/vicuna-13b-v1.5 \
    --question-file ./playground/data/eval/mm-vet/llava-mm-vet.jsonl \
    --image-folder ./playground/data/eval/mm-vet/images \
    --answers-file ./playground/data/eval/mm-vet/answers/llava-v1.5-13b_coco_gen_200k.jsonl \
    --temperature 0 \
    --conv-mode vicuna_v1

mkdir -p ./playground/data/eval/mm-vet/results

python scripts/convert_mmvet_for_eval.py \
    --src ./playground/data/eval/mm-vet/answers/llava-v1.5-13b_coco_gen_200k.jsonl \
    --dst ./playground/data/eval/mm-vet/results/llava-v1.5-13b_coco_gen_200k.json