[Bug] Getting 0 accuracy for Llamma3-8b and qwen2-7b models

[sriyachakravarthy]

Prerequisite

• [X] I have searched Issues and Discussions but cannot get the expected help.
• [X] The bug has not been fixed in the latest version.

Type

I'm evaluating with the officially supported tasks/models/datasets.

Environment

{'CUDA available': False, 'GCC': 'gcc (Ubuntu 12.3.0-1ubuntu1~23.04) 12.3.0', 'MMEngine': '0.10.4', 'MUSA available': False, 'OpenCV': '4.10.0', 'PyTorch': '2.4.0+rocm6.1', '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 v3.4.2 (Git Hash ' '1137e04ec0b5251ca2b4400a4fd3c667ce843d67)\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' ' - Build settings: BLAS_INFO=mkl, ' 'BUILD_TYPE=Release, ' '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_NOCUPTI -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-unused-function -Wno-unused-result ' '-Wno-strict-overflow -Wno-strict-aliasing ' '-Wno-stringop-overflow -Wsuggest-override ' '-Wno-psabi -Wno-error=pedantic ' '-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, ' 'PERF_WITH_AVX512=1, TORCH_VERSION=2.4.0, ' 'USE_CUDA=OFF, USE_CUDNN=OFF, ' 'USE_CUSPARSELT=OFF, 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=ON, USE_ROCM_KERNEL_ASSERT=OFF, \n', 'Python': '3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]', 'TorchVision': '0.19.0+rocm6.1', 'lmdeploy': "not installed:No module named 'lmdeploy'", 'numpy_random_seed': 2147483648, 'opencompass': '0.3.0+88eb912', 'sys.platform': 'linux', 'transformers': '4.44.0'}

Reproduces the problem - code/configuration sample

CUDA_VISIBLE_DEVICES=0 python -u run.py --datasets commonsenseqa_gen --hf-num-gpus 1 --hf-type base --hf-path meta-llama/Meta-Llama-3-8B --debug --model-kwargs device_map='auto' trust_remote_code=True --batch-size 1

Reproduces the problem - command or script

outputs/default/20240809_090910/results/Meta-Llama-3-8B_hf/commonsense_qa.json dataset version metric mode Meta-Llama-3-8B_hf

---

commonsense_qa c946f2 accuracy gen 0.00

Reproduces the problem - error message

outputs/default/20240809_090910/results/Meta-Llama-3-8B_hf/commonsense_qa.json dataset version metric mode Meta-Llama-3-8B_hf

---

commonsense_qa c946f2 accuracy gen 0.00

Other information

No response