File size: 1,853 Bytes
63fba53 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | #!/bin/bash
export HF_ENDPOINT=https://hf-mirror.com
# MMMU-Medical-test,MMMU-Medical-val,PMC_VQA,MedQA_USMLE,MedMCQA,PubMedQA,OmniMedVQA,Medbullets_op4,Medbullets_op5,MedXpertQA-Text,MedXpertQA-MM,SuperGPQA,HealthBench,IU_XRAY,CheXpert_Plus,MIMIC_CXR,CMB,CMExam,CMMLU,MedQA_MCMLE,VQA_RAD,SLAKE,PATH_VQA,MedFrameQA
EVAL_DATASETS="Medbullets_op4"
DATASETS_PATH="hf"
OUTPUT_PATH="eval_results/{}"
# TestModel,Qwen2-VL,Qwen2.5-VL,BiMediX2,LLava_Med,Huatuo,InternVL,Llama-3.2,LLava,Janus,HealthGPT,BiomedGPT,Vllm_Text,MedGemma,Med_Flamingo,MedDr
MODEL_NAME="Qwen2.5-VL"
MODEL_PATH="Qwen2.5-VL-7B-Instruct"
#vllm setting
CUDA_VISIBLE_DEVICES="0,1,2,3"
USE_VLLM="False"
IFS=',' read -r -a GPULIST <<< "$CUDA_VISIBLE_DEVICES"
TOTAL_GPUS=${#GPULIST[@]}
CHUNKS=${CHUNKS:-$TOTAL_GPUS}
#Eval setting
SEED=42
REASONING="False"
TEST_TIMES=1
# Eval LLM setting
MAX_NEW_TOKENS=8192
MAX_IMAGE_NUM=6
TEMPERATURE=0
TOP_P=0.0001
REPETITION_PENALTY=1
# LLM judge setting
USE_LLM_JUDGE="True"
# gpt api model name
GPT_MODEL="gpt-4.1-2025-04-14"
OPENAI_API_KEY=""
for IDX in $(seq 0 $((CHUNKS-1))); do
CUDA_VISIBLE_DEVICES=${GPULIST[$IDX]} python eval.py \
--eval_datasets "$EVAL_DATASETS" \
--datasets_path "$DATASETS_PATH" \
--output_path "$OUTPUT_PATH" \
--model_name "$MODEL_NAME" \
--model_path "$MODEL_PATH" \
--seed $SEED \
--max_new_tokens "$MAX_NEW_TOKENS" \
--max_image_num "$MAX_IMAGE_NUM" \
--use_vllm "$USE_VLLM" \
--num_chunks $CHUNKS \
--chunk_idx $IDX \
--reasoning $REASONING \
--temperature "$TEMPERATURE" \
--top_p "$TOP_P" \
--repetition_penalty "$REPETITION_PENALTY" \
--use_llm_judge "$USE_LLM_JUDGE" \
--judge_gpt_model "$JUDGE_GPT_MODEL" \
--openai_api_key "$OPENAI_API_KEY" \
--test_times "$TEST_TIMES" & # 这里的反斜杠后面不要有空格
done
wait |