#!/bin/bash

real_k=15
s_qt=0.835
s_it=0.064
s_ii=0.101
aug=True
aug_layer1=8
aug_layer2=15
alpha=1


question_file="MR-RAG/output_retrieve/${s_qt}_${s_it}_${s_ii}.jsonl"
answers_file="MR-RAG/answers/k${real_k}_l${aug_layer1}-${aug_layer2}_a${alpha}_${s_qt}_${s_it}_${s_ii}.jsonl"

python -m llava.eval.model_vqa \
        --question-file ${question_file} \
        --answers-file ${answers_file} \
        --real-k ${real_k} \
        --aug ${aug} \
        --aug-layer1 ${aug_layer1} \
        --aug-layer2 ${aug_layer2} \
        --alpha ${alpha} 
