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abdaf13 | 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 | #!/bin/bash
# HumanEval+ / MBPP+ 评测 (EvalPlus, vLLM 后端)
# 官方项目: https://github.com/evalplus/evalplus
# 用法: bash run_evalplus.sh [MODEL_PATH] [TP]
# TP 不传或传 auto 时自动使用当前可见的全部 GPU 数
# 结果输出到: /data/icto/mc56499/code_eval/evalplus_results/
# samples: evalplus_results/<dataset>/<model>_vllm_temp_0.0.jsonl
# 报告: 同目录 *_eval_results.json (含 pass@1 base/plus)
set -e
MODEL_PATH=${1:-/data/icto/mc56499/model/Qwen2.5-Coder-3B}
TP=${2:-auto}
if [ "$TP" = "auto" ] || [ -z "$TP" ]; then
TP=$(nvidia-smi -L | wc -l)
fi
ROOT=/data/icto/mc56499/code_eval/evalplus_results
PARALLEL=16 # 评测进程数
mkdir -p "$ROOT"
for DATASET in humaneval mbpp; do
echo "===== [EvalPlus] dataset=$DATASET model=$MODEL_PATH tp=$TP ====="
evalplus.evaluate \
--model "$MODEL_PATH" \
--dataset "$DATASET" \
--backend vllm \
--tp "$TP" \
--greedy \
--force_base_prompt \
--root "$ROOT" \
--parallel "$PARALLEL"
done
echo "===== EvalPlus 结果汇总 ====="
for f in $(find "$ROOT" -name "*_eval_results.json" | sort); do
echo "--- $f"
python - "$f" <<'EOF'
import json, sys
with open(sys.argv[1]) as f:
r = json.load(f)
tasks = r["eval"].values()
base = sum(1 for samples in tasks if any(s["base_status"] == "pass" for s in samples))
plus = sum(1 for samples in r["eval"].values() if any(
s["base_status"] == "pass" and s["plus_status"] == "pass" for s in samples))
n = len(r["eval"])
print(f" pass@1 (base tests): {base / n:.4f} ({base}/{n})")
print(f" pass@1 (base+extra): {plus / n:.4f} ({plus}/{n})")
EOF
done
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