open-compass
[Bug] gpqa_gen数据集得出的结果很低
先决条件
问题类型
我正在使用官方支持的任务/模型/数据集进行评估。
环境
{'CUDA available': True, 'CUDA_HOME': '/usr/local/cuda', 'GCC': 'gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0', 'GPU 0,1,2,3,4,5,6,7': 'NVIDIA A40', 'MMEngine': '0.10.4', 'MUSA available': False, 'NVCC': 'Cuda compilation tools, release 12.1, V12.1.66', 'OpenCV': '4.10.0', 'PyTorch': '2.5.1+cu124', 'PyTorch compiling details': 'PyTorch built with:\n' ' - GCC 9.3\n' ' - C++ Version: 201703\n' ' - Intel(R) oneAPI Math Kernel Library Version ' '2023.1-Product Build 20230303 for Intel(R) 64 ' 'architecture applications\n' ' - Intel(R) MKL-DNN v3.5.3 (Git Hash ' '66f0cb9eb66affd2da3bf5f8d897376f04aae6af)\n' ' - OpenMP 201511 (a.k.a. OpenMP 4.5)\n' ' - LAPACK is enabled (usually provided by ' 'MKL)\n' ' - NNPACK is enabled\n' ' - CPU capability usage: AVX512\n' ' - CUDA Runtime 12.4\n' ' - NVCC architecture flags: ' '-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90\n' ' - CuDNN 90.1\n' ' - Magma 2.6.1\n' ' - Build settings: BLAS_INFO=mkl, ' 'BUILD_TYPE=Release, CUDA_VERSION=12.4, ' 'CUDNN_VERSION=9.1.0, ' 'CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, ' 'CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 ' '-fabi-version=11 -fvisibility-inlines-hidden ' '-DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO ' '-DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON ' '-DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK ' '-DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE ' '-O2 -fPIC -Wall -Wextra -Werror=return-type ' '-Werror=non-virtual-dtor -Werror=bool-operation ' '-Wnarrowing -Wno-missing-field-initializers ' '-Wno-type-limits -Wno-array-bounds ' '-Wno-unknown-pragmas -Wno-unused-parameter ' '-Wno-strict-overflow -Wno-strict-aliasing ' '-Wno-stringop-overflow -Wsuggest-override ' '-Wno-psabi -Wno-error=old-style-cast ' '-Wno-missing-braces -fdiagnostics-color=always ' '-faligned-new -Wno-unused-but-set-variable ' '-Wno-maybe-uninitialized -fno-math-errno ' '-fno-trapping-math -Werror=format ' '-Wno-stringop-overflow, LAPACK_INFO=mkl, ' 'PERF_WITH_AVX=1, PERF_WITH_AVX2=1, ' 'TORCH_VERSION=2.5.1, USE_CUDA=ON, USE_CUDNN=ON, ' 'USE_CUSPARSELT=1, USE_EXCEPTION_PTR=1, ' 'USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, ' 'USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, ' 'USE_NCCL=1, USE_NNPACK=ON, USE_OPENMP=ON, ' 'USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, \n', 'Python': '3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]', 'TorchVision': '0.20.1+cu124', 'lmdeploy': '0.7.1', 'numpy_random_seed': 2147483648, 'opencompass': '0.4.1+2176224', 'sys.platform': 'linux', 'transformers': '4.49.0'}
重现问题 - 代码/配置示例
python3 /nas/xz/opencompass/run.py --hf-path /nas/xz/model_para/Qwen2.5-7B-Instruct --hf-type chat --datasets gpqa_gen_4baadb --hf-num-gpus 4 --generation-kwargs do_sample=True
python3 /nas/xz/opencompass/run.py --hf-path /nas/xz/model_para/Qwen2.5-7B-Instruct --hf-type chat --datasets gpqa_gen --hf-num-gpus 4 --generation-kwargs do_sample=True
重现问题 - 命令或脚本
无
重现问题 - 错误信息
无
其他信息
用gpqa_gen_4baadb数据集得出结果34.85，但用gpqa_gen数据集只有0.51，按理说不带版本号的应该是最新最准确的数据集啊，为什么呢
GPQA_gen points to gpqa_openai_simple_evals_gen_5aeece.py, which requires the model outputs “ANSWER: $LETTER”.
GPQA_gen points to gpqa_openai_simple_evals_gen_5aeece.py, which requires the model outputs “ANSWER: $LETTER”.
所以如果想要更通用一点地对chat模型进行评测，可以用gpqa_gen_4baadb是吗？