[Bug] 微调过的Qwen2.5-7b输出全是感叹号/The output of fine-tuning Qwen2.5-7b is '！！！！！！'

Prerequisite

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

Type

I have modified the code (config is not considered code), or I'm working on my own tasks/models/datasets.

Environment

{'CUDA available': True,
'CUDA_HOME': '/usr/local/cuda',
'GCC': 'gcc (Ubuntu 9.4.0-1ubuntu1~20.04.3) 9.4.0',
'GPU 0,1,2,3': 'Tesla V100-PCIE-32GB',
'MMEngine': '0.10.5',
'MUSA available': False,
'NVCC': 'Cuda compilation tools, release 12.1, V12.1.105',
'OpenCV': '4.10.0',
'PyTorch': '2.5.1',
'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 12.1\n'
' - NVCC architecture flags: '
'-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-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 (built against CUDA 12.4)\n'
' - Magma 2.6.1\n'
' - Build settings: BLAS_INFO=mkl, '
'BUILD_TYPE=Release, CUDA_VERSION=12.1, '
'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=ON, USE_NNPACK=ON, USE_OPENMP=ON, '
'USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, \n',
'Python': '3.10.15 (main, Oct 3 2024, 07:27:34) [GCC 11.2.0]',
'TorchVision': '0.20.1',
'lmdeploy': "not installed:No module named 'lmdeploy'",
'numpy_random_seed': 2147483648,
'opencompass': '0.3.6+',
'sys.platform': 'linux',
'transformers': '4.46.3'}

Reproduces the problem - code/configuration sample

Just modify hf_qwen2_5_7b_instruct.py like that
from opencompass.models import HuggingFacewithChatTemplate
models = [ dict( type=HuggingFacewithChatTemplate, abbr='qwen2.5-7b-instruct-hf', path='/opt/disk2/models/qwen2.5_epoch_2', max_out_len=4096, batch_size=8, run_cfg=dict(num_gpus=1), ) ]
只修改了模型路径指定为本地微调过的qwen2.5-7b。
And modify eval_chat_demo.py like that
from mmengine.config import read_base

with read_base():
from opencompass.configs.datasets.demo.demo_gsm8k_chat_gen import gsm8k_datasets
from opencompass.configs.datasets.demo.demo_math_chat_gen import math_datasets
from opencompass.configs.models.qwen2_5.hf_qwen2_5_7b_instruct import models as hf_qwen2_5_7b_instruct_models

datasets = gsm8k_datasets
models = hf_qwen2_5_7b_instruct_models
只修改了读取的模型以及用到的数据集

Reproduces the problem - command or script

python run.py configs/eval_chat_demo.py

Reproduces the problem - error message

No error.The output is '!!!!!!!'
没有任何报错信息，但是在*/predictions里的结果全是感叹号。比如predictions里的demo_cmmlu-anatomy.json

测评数据集用demo_gsm8k结果一样都是感叹号
但是改用官方未微调过的qwen2.5-7b，可以输出正常结果

Other information

微调和未微调过的Qwen2.5-7b，用官方的infer代码都能正常输出。而用微调后的模型用本项目的测评代码只能输出感叹号
下图是用微调过的模型，并且用官方的代码输出的结果。能够正常输出不是'!!!!!!'

不知道是什么原因导致的