Repository: open-compass/opencompass
Issue: [Bug] 评测qwen-7b的时候出现ValueError: pad_token_id is not set for this tokenizer. Try to set pad_token_id via passing `pad_token_id={PAD_TOKEN_ID}` in model_cfg. You may find pad_token_id in `generation.json`
Root cause: Configuration Error

### 先决条件

- [X] 我已经搜索过 [问题](https://github.com/InternLM/opencompass/issues/) 和 [讨论](https://github.com/InternLM/opencompass/discussions) 但未得到预期的帮助。
- [X] 错误在 [最新版本](https://github.com/InternLM/opencompass) 中尚未被修复。

### 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 11.3.0-1ubuntu1~22.04.1) 11.3.0',
 'GPU 0,1,2': 'NVIDIA A40',
 'MMEngine': '0.8.4',
 'NVCC': 'Cuda compilation tools, release 11.8, V11.8.89',
 'OpenCV': '4.8.0',
 'PyTorch': '2.0.1+cu118',
 '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 v2.7.3 (Git Hash '
                              '6dbeffbae1f23cbbeae17adb7b5b13f1f37c080e)\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: AVX2\n'
                              '  - CUDA Runtime 11.8\n'
                              '  - NVCC architecture flags: '
                              '-gencode;arch=compute_37,code=sm_37;-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 8.7\n'
                              '  - Magma 2.6.1\n'
                              '  - Build settings: BLAS_INFO=mkl, '
                              'BUILD_TYPE=Release, CUDA_VERSION=11.8, '
                              'CUDNN_VERSION=8.7.0, '
                              'CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, '
                              'CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 '
                              '-fabi-version=11 -Wno-deprecated '
                              '-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 -Wunused-local-typedefs '
                              '-Wno-unused-parameter -Wno-unused-function '
                              '-Wno-unused-result -Wno-strict-overflow '
                              '-Wno-strict-aliasing '
                              '-Wno-error=deprecated-declarations '
                              '-Wno-stringop-overflow -Wno-psabi '
                              '-Wno-error=pedantic -Wno-error=redundant-decls '
                              '-Wno-error=old-style-cast '
                              '-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=2.0.1, 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': '3.10.12 (main, Jul  5 2023, 18:54:27) [GCC 11.2.0]',
 'TorchVision': '0.15.2+cu118',
 'numpy_random_seed': 2147483648,
 'opencompass': '0.1.2+8774465',
 'sys.platform': 'linux'}

### 重现问题 - 代码/配置示例

配置本地模型
import torch
from opencompass.models import HuggingFaceCausalLM

models = [
    dict(
        type=HuggingFaceCausalLM,
        abbr='qwen-7b',
        path="/data/model/Qwen-7B",
        tokenizer_path='/data/model/Qwen-7B',
        tokenizer_kwargs=dict(
            padding_side='left',
            truncation_side='left',
            trust_remote_code=True,
            use_fast=True
        ),
        max_out_len=100,
        max_seq_len=2048,
        batch_size=8,
        model_kwargs=dict(
            device_map='auto',
            trust_remote_code=True,
            torch_dtype = torch.bfloat16
        ),
        run_cfg=dict(num_gpus=1, num_procs=1),
    )
]

### 重现问题 - 命令或脚本

CUDA_VISIBLE_DEVICES=2 python run.py configs/eval_local_qwen_7b.py --debug

### 重现问题 - 错误信息

![image](https://github.com/open-compass/opencompass/assets/42534237/6563da4d-e424-4119-a3d5-aafb5020cc27)
出现ValueError: pad_token_id is not set for this tokenizer，同时看显存没有加载本地模型，请问该怎么解决呢？

### 其他信息

_No response_

Try to add these two lines to your config:

https://github.com/open-compass/opencompass/pull/358/files

> Try to add these two lines to your config:
> 
> https://github.com/open-compass/opencompass/pull/358/files

![image](https://github.com/open-compass/opencompass/assets/42534237/78ab21ce-0c89-4c1e-8243-75fcfbad847a)
增加pad_token_id=151643,模型可以加载了，但是同时出现新的问题TypeError: ZeroRetriever.retrieve() missing 1 required positional argument: 'id_list' 该怎么解决呢，看了同类问题，但是还没有解决

https://github.com/open-compass/opencompass/blob/main/opencompass/openicl/icl_retriever/icl_zero_retriever.py
精读一下zero_retriever的代码，发现retriever的参数输入有id_list，但是这个参数不可用，需要赋值为空或者删除该参数
![image](https://github.com/open-compass/opencompass/assets/42534237/15918774-630c-4b44-8e5e-525ab6a1f161)