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[Bug] qwen2.5-3b-Instruct点数对不上, oc测出来只有52,qwen2.5论文里面是72.7
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': '/mnt/petrelfs/share/cuda-12.1', 'GCC': 'gcc (GCC) 9.4.0', 'GPU 0': 'NVIDIA A800-SXM4-80GB', 'MMEngine': '0.10.6', 'MUSA available': False, 'NVCC': 'Cuda compilation tools, release 12.1, V12.1.66', 'OpenCV': '4.11.0', 'PyTorch': '2.1.0+cu121', 'PyTorch compiling details': 'PyTorch built with:\n' ' - GCC 9.3\n' ' - C++ Version: 201703\n' ' - Intel(R) oneAPI Math Kernel Library Version ' '2022.2-Product Build 20220804 for Intel(R) 64 ' 'architecture applications\n' ' - Intel(R) MKL-DNN v3.1.1 (Git Hash ' '64f6bcbcbab628e96f33a62c3e975f8535a7bde4)\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 12.1\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 8.9.2\n' ' - Magma 2.6.1\n' ' - Build settings: BLAS_INFO=mkl, ' 'BUILD_TYPE=Release, CUDA_VERSION=12.1, ' 'CUDNN_VERSION=8.9.2, ' '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 -DUSE_FBGEMM ' '-DUSE_QNNPACK -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-unused-function -Wno-unused-result ' '-Wno-strict-overflow -Wno-strict-aliasing ' '-Wno-stringop-overflow -Wno-psabi ' '-Wno-error=pedantic -Wno-error=old-style-cast ' '-Wno-invalid-partial-specialization ' '-Wno-unused-private-field ' '-Wno-aligned-allocation-unavailable ' '-Wno-missing-braces -fdiagnostics-color=always ' '-faligned-new -Wno-unused-but-set-variable ' '-Wno-maybe-uninitialized -fno-math-errno ' '-fno-trapping-math -Werror=format ' '-Werror=cast-function-type ' '-Wno-stringop-overflow, LAPACK_INFO=mkl, ' 'PERF_WITH_AVX=1, PERF_WITH_AVX2=1, ' 'PERF_WITH_AVX512=1, ' 'TORCH_DISABLE_GPU_ASSERTS=ON, ' 'TORCH_VERSION=2.1.0, USE_CUDA=ON, USE_CUDNN=ON, ' 'USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, ' 'USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, ' 'USE_MPI=OFF, USE_NCCL=1, USE_NNPACK=ON, ' 'USE_OPENMP=ON, USE_ROCM=OFF, \n', 'Python': '3.10.16 | packaged by conda-forge | (main, Dec 5 2024, 14:16:10) ' '[GCC 13.3.0]', 'TorchVision': '0.16.0+cu121', 'lmdeploy': "not installed:No module named 'lmdeploy'", 'numpy_random_seed': 2147483648, 'opencompass': '0.4.2+3f50b1d', 'sys.platform': 'linux', 'transformers': '4.37.2'}
重现问题 - 代码/配置示例
from opencompass.models import HuggingFacewithChatTemplate
models = [
dict(
type=HuggingFacewithChatTemplate,
abbr='qwen2.5-3b-instruct',
path='path_to_ckpt/Qwen2.5-3B-Instruct',
max_out_len=1024,
batch_size=1,
run_cfg=dict(num_gpus=1)
)
]
重现问题 - 命令或脚本
python run.py --datasets IFEval_gen --models hf_qwen_3b_instruct
重现问题 - 错误信息
None
其他信息
测出来的结果 The markdown format results is as below:
| dataset | version | metric | mode | qwen2.5-3b-instruct |
|---|---|---|---|---|
| mbpp | 830460 | score | gen | 52.00 |
| mbpp | 830460 | pass | gen | 260.00 |
| mbpp | 830460 | timeout | gen | 0.00 |
| mbpp | 830460 | failed | gen | 64.00 |
| mbpp | 830460 | wrong_answer | gen | 176.00 |