Repository: open-compass/opencompass
Issue: [Bug] Getting 0 accuracy for Llamma3-8b and qwen2-7b models
Root cause: Validation Gap

### Prerequisite

- [X] I have searched [Issues](https://github.com/open-compass/opencompass/issues/) and [Discussions](https://github.com/open-compass/opencompass/discussions) but cannot get the expected help.
- [X] The bug has not been fixed in the [latest version](https://github.com/open-compass/opencompass).

### 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_

Also, getting the following error for truthfulqa:
AssertionError: `truth_model` should be set to perform API eval.If you want to perform basic metric eval, please refer to the docstring of /rhome/sriyar/Sriya/opencompass/opencompass/datasets/truthfulqa.py for more details.
Inference Time/Execution Time: 3044 seconds

For the base model, we recommend using perplexity (ppl) for evaluation in multi-choice questions.
```
python -u run.py --datasets commonsenseqa_ppl --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 8
```

```
dataset           version  metric    mode      Meta-Llama-3-8B_hf
--------------  ---------  --------  ------  --------------------
commonsense_qa  554500.00  accuracy  ppl                    70.19
```


Feel free to re-open if needed.

> For the base model, we recommend using perplexity (ppl) for evaluation in multi-choice questions.
> 
> ```
> python -u run.py --datasets commonsenseqa_ppl --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 8
> ```
> 
> ```
> dataset           version  metric    mode      Meta-Llama-3-8B_hf
> --------------  ---------  --------  ------  --------------------
> commonsense_qa  554500.00  accuracy  ppl                    70.19
> ```

hi, could you please help to check why the results are blank?
(opencompass) [~/project/LLM/opencompass]$ python -u run.py --datasets commonsenseqa_ppl --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 8
/home/xxxx/miniconda3/envs/opencompass/lib/python3.10/site-packages/transformers/utils/hub.py:127: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
08/21 21:05:26 - OpenCompass - INFO - Loading commonsenseqa_ppl: configs/datasets/commonsenseqa/commonsenseqa_ppl.py
08/21 21:05:26 - OpenCompass - DEBUG - Using model: {'type': 'opencompass.models.huggingface_above_v4_33.HuggingFaceBaseModel', 'abbr': 'Meta-Llama-3-8B_hf', 'path': 'meta-llama/Meta-Llama-3-8B', 'model_kwargs': {'device_map': 'auto', 'trust_remote_code': True}, 'tokenizer_path': None, 'tokenizer_kwargs': {}, 'generation_kwargs': {}, 'peft_path': None, 'peft_kwargs': {}, 'max_seq_len': None, 'max_out_len': 256, 'batch_size': 8, 'pad_token_id': None, 'stop_words': [], 'run_cfg': {'num_gpus': 1}}
08/21 21:05:26 - OpenCompass - INFO - Loading example: configs/summarizers/example.py
08/21 21:05:26 - OpenCompass - INFO - Current exp folder: outputs/default/20240821_210526
08/21 21:05:26 - OpenCompass - WARNING - SlurmRunner is not used, so the partition argument is ignored.
08/21 21:05:26 - OpenCompass - DEBUG - Modules of opencompass's partitioner registry have been automatically imported from opencompass.partitioners
08/21 21:05:26 - OpenCompass - DEBUG - Get class `NumWorkerPartitioner` from "partitioner" registry in "opencompass"
08/21 21:05:26 - OpenCompass - DEBUG - An `NumWorkerPartitioner` instance is built from registry, and its implementation can be found in opencompass.partitioners.num_worker
08/21 21:05:26 - OpenCompass - DEBUG - Key eval.runner.task.judge_cfg not found in config, ignored.
08/21 21:05:26 - OpenCompass - DEBUG - Key eval.runner.task.dump_details not found in config, ignored.
08/21 21:05:26 - OpenCompass - DEBUG - Key eval.given_pred not found in config, ignored.
08/21 21:05:26 - OpenCompass - DEBUG - Key eval.runner.task.cal_extract_rate not found in config, ignored.
08/21 21:05:26 - OpenCompass - DEBUG - Additional config: {}
08/21 21:05:26 - OpenCompass - INFO - Partitioned into 1 tasks.
08/21 21:05:26 - OpenCompass - DEBUG - Task 0: [Meta-Llama-3-8B_hf/commonsense_qa]
08/21 21:05:26 - OpenCompass - DEBUG - Modules of opencompass's runner registry have been automatically imported from opencompass.runners
08/21 21:05:26 - OpenCompass - DEBUG - Get class `LocalRunner` from "runner" registry in "opencompass"
08/21 21:05:26 - OpenCompass - DEBUG - An `LocalRunner` instance is built from registry, and its implementation can be found in opencompass.runners.local
08/21 21:05:26 - OpenCompass - DEBUG - Modules of opencompass's task registry have been automatically imported from opencompass.tasks
08/21 21:05:26 - OpenCompass - DEBUG - Get class `OpenICLInferTask` from "task" registry in "opencompass"
08/21 21:05:26 - OpenCompass - DEBUG - An `OpenICLInferTask` instance is built from registry, and its implementation can be found in opencompass.tasks.openicl_infer
08/21 21:05:27 - OpenCompass - WARNING - Only use 1 GPUs for total 2 available GPUs in debug mode.
08/21 21:05:27 - OpenCompass - DEBUG - Debug mode, log will be saved to tmp/3412580_debug.log
08/21 21:05:33 - OpenCompass - DEBUG - Get class `NaivePartitioner` from "partitioner" registry in "opencompass"
08/21 21:05:33 - OpenCompass - DEBUG - An `NaivePartitioner` instance is built from registry, and its implementation can be found in opencompass.partitioners.naive
08/21 21:05:33 - OpenCompass - DEBUG - Key eval.runner.task.judge_cfg not found in config, ignored.
08/21 21:05:33 - OpenCompass - DEBUG - Key eval.runner.task.dump_details not found in config, ignored.
08/21 21:05:33 - OpenCompass - DEBUG - Key eval.given_pred not found in config, ignored.
08/21 21:05:33 - OpenCompass - DEBUG - Key eval.runner.task.cal_extract_rate not found in config, ignored.
08/21 21:05:33 - OpenCompass - DEBUG - Additional config: {'eval': {'runner': {'task': {}}}}
08/21 21:05:33 - OpenCompass - INFO - Partitioned into 1 tasks.
08/21 21:05:33 - OpenCompass - DEBUG - Task 0: [Meta-Llama-3-8B_hf/commonsense_qa]
08/21 21:05:33 - OpenCompass - DEBUG - Get class `LocalRunner` from "runner" registry in "opencompass"
08/21 21:05:33 - OpenCompass - DEBUG - An `LocalRunner` instance is built from registry, and its implementation can be found in opencompass.runners.local
08/21 21:05:33 - OpenCompass - DEBUG - Get class `OpenICLEvalTask` from "task" registry in "opencompass"
08/21 21:05:33 - OpenCompass - DEBUG - An `OpenICLEvalTask` instance is built from registry, and its implementation can be found in opencompass.tasks.openicl_eval
08/21 21:05:34 - OpenCompass - DEBUG - Modules of opencompass's load_dataset registry have been automatically imported from opencompass.datasets
08/21 21:05:34 - OpenCompass - DEBUG - Get class `commonsenseqaDataset` from "load_dataset" registry in "opencompass"
08/21 21:05:34 - OpenCompass - DEBUG - An `commonsenseqaDataset` instance is built from registry, and its implementation can be found in opencompass.datasets.commonsenseqa
08/21 21:05:34 - OpenCompass - ERROR - /home/xxxx/project/LLM/opencompass/opencompass/tasks/openicl_eval.py - _score - 253 - Task [Meta-Llama-3-8B_hf/commonsense_qa]: No predictions found.
08/21 21:05:34 - OpenCompass - DEBUG - An `DefaultSummarizer` instance is built from registry, and its implementation can be found in opencompass.summarizers.default
dataset         version    metric    mode    Meta-Llama-3-8B_hf
--------------  ---------  --------  ------  --------------------
commonsense_qa  -          -         -       -
08/21 21:05:34 - OpenCompass - INFO - write summary to /home/xxxx/project/LLM/opencompass/outputs/default/20240821_210526/summary/summary_20240821_210526.txt
08/21 21:05:34 - OpenCompass - INFO - write csv to /home/xxxx/project/LLM/opencompass/outputs/default/20240821_210526/summary/summary_20240821_210526.csv
>