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#!/bin/bash
MODEL_PATH="/mnt/data/sata/yinghu/checkpoints/llava_factory/tiny-llava-phi-2-siglip-so400m-patch14-384-base-finetune/"
MODEL_NAME="tiny-llava-phi-2-siglip-so400m-patch14-384-base-finetune"
EVAL_DIR="/home/ai/data/llava/dataset/eval"
python -m tinyllava.eval.model_vqa_loader \
--model-path $MODEL_PATH \
--question-file $EVAL_DIR/textvqa/llava_textvqa_val_v051_ocr.jsonl \
--image-folder $EVAL_DIR/textvqa/train_images \
--answers-file $EVAL_DIR/textvqa/answers/$MODEL_NAME.jsonl \
--temperature 0 \
--conv-mode phi
python -m tinyllava.eval.eval_textvqa \
--annotation-file $EVAL_DIR/textvqa/TextVQA_0.5.1_val.json \
--result-file $EVAL_DIR/textvqa/answers/$MODEL_NAME.jsonl
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