https://opencompass.org.cn/doc
先写检验结论：
- OpenCompass的安装手册需要更新
- CEval数据集：用于评估和测试中文语言模型的性能
- CEval数据是由涵盖各个领域的一些中文问答和结果组成
- OpenCompass运行要指定GPU，否则非常慢
- OpenCompass的用法很多，还需要继续深入学习
一、OpenCompass是什么
在 OpenCompass 中评估一个模型通常包括以下几个阶段：配置 -> 推理 -> 评估 -> 可视化。
- 配置：这是整个工作流的起点。您需要配置整个评估过程，选择要评估的模型和数据集。此外，还可以选择评估策略、计算后端等，并定义显示结果的方式。
- 推理与评估：在这个阶段，OpenCompass 将会开始对模型和数据集进行并行推理和评估。推理阶段主要是让模型从数据集产生输出，而评估阶段则是衡量这些输出与标准答案的匹配程度。这两个过程会被拆分为多个同时运行的“任务”以提高效率，但请注意，如果计算资源有限，这种策略可能会使评测变得更慢。如果需要了解该问题及解决方案，可以参考 FAQ: 效率。
- 可视化：评估完成后，OpenCompass 将结果整理成易读的表格，并将其保存为 CSV 和 TXT 文件。你也可以激活飞书状态上报功能，此后可以在飞书客户端中及时获得评测状态报告。
二、OpenCompass安装
# 沿用上一篇中的xtuner0121环境
conda activate xtuner0121git clone -b 0.2.4 https://github.com/open-compass/opencompass
cd opencompass
pip install -e .
但是运行opencompass时出错，陆陆续续又安装了如下的package
pip install tabulate
pip install prettytable
pip install jieba
pip install scikit-learn
pip install evaluate
pip install rouge_chinese
pip install nltk
pip install rank_bm25
pip install sentence_transformers
pip install absl-py
pip install mmengine
pip install pytorch torchvision pytorch-cuda
pip install fuzzywuzzy
pip install python-Levenshtein
遗憾的是，装完了才发现有opencompass/requirements/runtime.txt文件存在，直接就能依赖包安装好。
但是opencompress官方文档上没有任何说明，白花了很多时间。
pip install -r opencompass/requirements/runtime.txt
三、OpenCompass 评测 InternLM-1.8B
（一）查看支持的数据集和模型
# python tools/list_configs.py internlm ceval
+----------------------------------------+----------------------------------------------------------------------+
| Model | Config Path |
|----------------------------------------+----------------------------------------------------------------------|
| hf_internlm2_1_8b | configs/models/hf_internlm/hf_internlm2_1_8b.py |
| hf_internlm2_20b | configs/models/hf_internlm/hf_internlm2_20b.py |
| hf_internlm2_7b | configs/models/hf_internlm/hf_internlm2_7b.py |
| hf_internlm2_base_20b | configs/models/hf_internlm/hf_internlm2_base_20b.py |
| hf_internlm2_base_7b | configs/models/hf_internlm/hf_internlm2_base_7b.py |
| hf_internlm2_chat_1_8b | configs/models/hf_internlm/hf_internlm2_chat_1_8b.py |
| hf_internlm2_chat_1_8b_sft | configs/models/hf_internlm/hf_internlm2_chat_1_8b_sft.py |
| hf_internlm2_chat_20b | configs/models/hf_internlm/hf_internlm2_chat_20b.py |
| hf_internlm2_chat_20b_sft | configs/models/hf_internlm/hf_internlm2_chat_20b_sft.py |
| hf_internlm2_chat_20b_with_system | configs/models/hf_internlm/hf_internlm2_chat_20b_with_system.py |
| hf_internlm2_chat_7b | configs/models/hf_internlm/hf_internlm2_chat_7b.py |
| hf_internlm2_chat_7b_sft | configs/models/hf_internlm/hf_internlm2_chat_7b_sft.py |
| hf_internlm2_chat_7b_with_system | configs/models/hf_internlm/hf_internlm2_chat_7b_with_system.py |
| hf_internlm2_chat_math_20b | configs/models/hf_internlm/hf_internlm2_chat_math_20b.py |
| hf_internlm2_chat_math_20b_with_system | configs/models/hf_internlm/hf_internlm2_chat_math_20b_with_system.py |
| hf_internlm2_chat_math_7b | configs/models/hf_internlm/hf_internlm2_chat_math_7b.py |
| hf_internlm2_chat_math_7b_with_system | configs/models/hf_internlm/hf_internlm2_chat_math_7b_with_system.py |
| hf_internlm_20b | configs/models/hf_internlm/hf_internlm_20b.py |
| hf_internlm_7b | configs/models/hf_internlm/hf_internlm_7b.py |
| hf_internlm_chat_20b | configs/models/hf_internlm/hf_internlm_chat_20b.py |
| hf_internlm_chat_7b | configs/models/hf_internlm/hf_internlm_chat_7b.py |
| hf_internlm_chat_7b_8k | configs/models/hf_internlm/hf_internlm_chat_7b_8k.py |
| hf_internlm_chat_7b_v1_1 | configs/models/hf_internlm/hf_internlm_chat_7b_v1_1.py |
| internlm_7b | configs/models/internlm/internlm_7b.py |
| lmdeploy_internlm2_chat_20b | configs/models/hf_internlm/lmdeploy_internlm2_chat_20b.py |
| lmdeploy_internlm2_chat_7b | configs/models/hf_internlm/lmdeploy_internlm2_chat_7b.py |
| ms_internlm_chat_7b_8k | configs/models/ms_internlm/ms_internlm_chat_7b_8k.py |
+----------------------------------------+----------------------------------------------------------------------+
+--------------------------------+------------------------------------------------------------------+
| Dataset | Config Path |
|--------------------------------+------------------------------------------------------------------|
| ceval_clean_ppl | configs/datasets/ceval/ceval_clean_ppl.py |
| ceval_contamination_ppl_810ec6 | configs/datasets/contamination/ceval_contamination_ppl_810ec6.py |
| ceval_gen | configs/datasets/ceval/ceval_gen.py |
| ceval_gen_2daf24 | configs/datasets/ceval/ceval_gen_2daf24.py |
| ceval_gen_5f30c7 | configs/datasets/ceval/ceval_gen_5f30c7.py |
| ceval_internal_ppl_1cd8bf | configs/datasets/ceval/ceval_internal_ppl_1cd8bf.py |
| ceval_ppl | configs/datasets/ceval/ceval_ppl.py |
| ceval_ppl_1cd8bf | configs/datasets/ceval/ceval_ppl_1cd8bf.py |
| ceval_ppl_578f8d | configs/datasets/ceval/ceval_ppl_578f8d.py |
| ceval_ppl_93e5ce | configs/datasets/ceval/ceval_ppl_93e5ce.py |
| ceval_zero_shot_gen_bd40ef | configs/datasets/ceval/ceval_zero_shot_gen_bd40ef.py |
+--------------------------------+------------------------------------------------------------------+
使用 OpenCompass 评测 internlm2-chat-1.8b 模型在 ceval 数据集上的性能
（二）CEval 数据集是什么
设计目的：
- CEval 数据集主要用于评估和测试中文语言模型的性能。它包含了大量中文文本数据，旨在衡量模型在中文语言理解、生成和翻译等方面的能力。
内容：
- CEval 数据集通常包含多种类型的中文文本，如新闻文章、文学作品、社交媒体帖子、对话记录等。
- 数据集可能涵盖多个领域，包括但不限于科技、教育、娱乐、政治等。
应用场景：
- CEval 数据集主要用于中文自然语言处理（NLP）研究和开发，帮助研究人员和开发者评估和改进中文语言模型的性能。
- 它可以用于训练和测试中文文本分类、情感分析、命名实体识别、机器翻译等任务。
（三）数据准备
cp /share/temp/datasets/OpenCompassData-core-20231110.zip /root/opencompass/
unzip OpenCompassData-core-20231110.zip
查看ceval的评测数据，每个文件夹内都是csv文件，涉及不同领域，共有55个csv文件。
# tree /root/opencompass/data/ceval -L 2
/root/opencompass/data/ceval
└── formal_ceval├── dev├── test└── val
csv的内容都是选择题，如/opencompass/data/ceval/formal_ceval/val/middle_school_biology_val.csv：
id,question,A,B,C,D,answer
0,运用适当的方法可以保存食品。将新鲜蘑菇制成干蘑菇采用的保存方法是____,低温冷藏,真空包装,脱水法,添加防腐剂,C
1,动物能促进生态系统中的物质循环．这里的“物质循环”是指____,动物能将无机物转化为有机物,动物能将有机物转化为无机物回到自然界中,动物能为植物提供粪便，促进植物生长,动物能抑制植物的生长，保护自然界中生物的平衡,B
（四）启动评测
export MKL_SERVICE_FORCE_INTEL=1
export MKL_THREADING_LAYER=GNUpython run.py --datasets ceval_gen \
--hf-path /root/share/new_models/Shanghai_AI_Laboratory/internlm2-chat-1_8b \
--tokenizer-path /root/share/new_models/Shanghai_AI_Laboratory/internlm2-chat-1_8b \
--tokenizer-kwargs padding_side='left' truncation='left' trust_remote_code=True \
--model-kwargs trust_remote_code=True device_map='auto' \
--max-seq-len 1024 --max-out-len 16 --batch-size 2 --num-gpus 1 \
--debug
注意：
- –hf-type 这个选项已经被移除
- 使用本地模型，必须指定trust_remote_code=True，包括model和tokenizer都是
- 运行非常吃显存
漫长的执行，用了1581.46秒。
~/opencompass# python run.py --datasets ceval_gen --hf-path /root/share/new_models/Shanghai_AI_Laboratory/internlm2-chat-1_8b --tokenizer-path /root//share/new_models/Shanghai_AI_Laboratory/internlm2-chat-1_8b --tokenizer-kwargs padding_side='left' truncation='left' trust_remote_code=True --model-kwargs trust_remote_code=True device_map='auto' --max-seq-len 1024 --max-out-len 16 --batch-size 2 --num-gpus 1 --debug
/root/.conda/envs/xtuner0121/lib/python3.10/site-packages/mmengine/optim/optimizer/zero_optimizer.py:11: DeprecationWarning: `TorchScript` support for functional optimizers is deprecated and will be removed in a future PyTorch release. Consider using the `torch.compile` optimizer instead.from torch.distributed.optim import \
08/09 17:23:27 - OpenCompass - INFO - Loading ceval_gen: configs/datasets/ceval/ceval_gen.py
08/09 17:23:27 - OpenCompass - INFO - Loading example: configs/summarizers/example.py
08/09 17:23:27 - OpenCompass - WARNING - SlurmRunner is not used, so the partition argument is ignored.
08/09 17:23:27 - OpenCompass - INFO - Partitioned into 1 tasks.
/root/.conda/envs/xtuner0121/lib/python3.10/site-packages/mmengine/optim/optimizer/zero_optimizer.py:11: DeprecationWarning: `TorchScript` support for functional optimizers is deprecated and will be removed in a future PyTorch release. Consider using the `torch.compile` optimizer instead.from torch.distributed.optim import \
08/09 17:24:14 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-college_economics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-accountant,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-tax_accountant,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-physician,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-civil_servant,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-urban_and_rural_planner,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-teacher_qualification,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-college_programming,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-electrical_engineer,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-business_administration,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-art_studies,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-fire_engineer,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-environmental_impact_assessment_engineer,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-education_science,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-professional_tour_guide,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-college_chemistry,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-metrology_engineer,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-mao_zedong_thought,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-law,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-veterinary_medicine,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-modern_chinese_history,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-chinese_language_and_literature,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-legal_professional,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-logic,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_history,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-plant_protection,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-clinical_medicine,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-computer_architecture,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_biology,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_politics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_chemistry,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_history,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-computer_network,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-operating_system,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-college_physics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-advanced_mathematics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_physics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_chemistry,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_biology,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_mathematics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_physics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-marxism,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_politics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_geography,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-ideological_and_moral_cultivation,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_chinese,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-sports_science,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-basic_medicine,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-probability_and_statistics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_mathematics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-discrete_mathematics,opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_geography]
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:33<00:00, 16.54s/it]
08/09 17:26:20 - OpenCompass - INFO - Start inferencing [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-college_economics]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 55/55 [00:00<00:00, 1450859.87it/s]
[2024-08-09 17:26:21,252] [opencompass.openicl.icl_inferencer.icl_gen_inferencer] [INFO] Starting inference process...
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 28/28 [01:09<00:00, 2.47s/it]
08/09 17:27:30 - OpenCompass - INFO - Start inferencing [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-accountant]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 49/49 [00:00<00:00, 1522377.01it/s]
[2024-08-09 17:27:30,489] [opencompass.openicl.icl_inferencer.icl_gen_inferencer] [INFO] Starting inference process...
100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 25/25 [01:09<00:00, 2.80s/it]
...
08/09 17:34:00 - OpenCompass - INFO - Start inferencing [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-business_administration]
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 33/33 [00:00<00:00, 1107296.26it/s]
[2024-08-09 17:34:00,853] [opencompass.openicl.icl_inferencer.icl_gen_inferencer] [INFO] Starting inference process...
08/09 17:50:35 - OpenCompass - INFO - time elapsed: 1581.46s
08/09 17:50:37 - OpenCompass - INFO - Partitioned into 52 tasks.
08/09 17:50:42 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-computer_network]: {'accuracy': 47.368421052631575}
08/09 17:50:44 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-operating_system]: {'accuracy': 47.368421052631575}
08/09 17:50:46 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-computer_architecture]: {'accuracy': 23.809523809523807}
08/09 17:50:49 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-college_programming]: {'accuracy': 13.513513513513514}
08/09 17:50:51 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-college_physics]: {'accuracy': 42.10526315789473}
08/09 17:50:54 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-college_chemistry]: {'accuracy': 33.33333333333333}
08/09 17:50:56 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-advanced_mathematics]: {'accuracy': 10.526315789473683}
08/09 17:50:58 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-probability_and_statistics]: {'accuracy': 38.88888888888889}
08/09 17:51:01 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-discrete_mathematics]: {'accuracy': 25.0}
08/09 17:51:03 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-electrical_engineer]: {'accuracy': 27.027027027027028}
08/09 17:51:06 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-metrology_engineer]: {'accuracy': 54.166666666666664}
08/09 17:51:08 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_mathematics]: {'accuracy': 16.666666666666664}
08/09 17:51:11 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_physics]: {'accuracy': 42.10526315789473}
08/09 17:51:13 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_chemistry]: {'accuracy': 47.368421052631575}
08/09 17:51:15 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_biology]: {'accuracy': 26.31578947368421}
08/09 17:51:18 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_mathematics]: {'accuracy': 36.84210526315789}
08/09 17:51:20 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_biology]: {'accuracy': 80.95238095238095}
08/09 17:51:22 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_physics]: {'accuracy': 47.368421052631575}
08/09 17:51:25 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_chemistry]: {'accuracy': 80.0}
08/09 17:51:27 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-veterinary_medicine]: {'accuracy': 43.47826086956522}
08/09 17:51:29 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-college_economics]: {'accuracy': 32.72727272727273}
08/09 17:51:32 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-business_administration]: {'accuracy': 36.36363636363637}
08/09 17:51:35 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-marxism]: {'accuracy': 68.42105263157895}
08/09 17:51:37 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-mao_zedong_thought]: {'accuracy': 70.83333333333334}
08/09 17:51:40 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-education_science]: {'accuracy': 55.172413793103445}
08/09 17:51:42 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-teacher_qualification]: {'accuracy': 59.09090909090909}
08/09 17:51:44 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_politics]: {'accuracy': 57.89473684210527}
08/09 17:51:46 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_geography]: {'accuracy': 47.368421052631575}
08/09 17:51:49 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_politics]: {'accuracy': 71.42857142857143}
08/09 17:51:51 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_geography]: {'accuracy': 75.0}
08/09 17:51:53 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-modern_chinese_history]: {'accuracy': 52.17391304347826}
08/09 17:51:55 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-ideological_and_moral_cultivation]: {'accuracy': 73.68421052631578}
08/09 17:51:58 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-logic]: {'accuracy': 27.27272727272727}
08/09 17:52:00 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-law]: {'accuracy': 29.166666666666668}
08/09 17:52:03 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-chinese_language_and_literature]: {'accuracy': 47.82608695652174}
08/09 17:52:05 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-art_studies]: {'accuracy': 42.42424242424242}
08/09 17:52:07 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-professional_tour_guide]: {'accuracy': 51.724137931034484}
08/09 17:52:11 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-legal_professional]: {'accuracy': 34.78260869565217}
08/09 17:52:13 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_chinese]: {'accuracy': 42.10526315789473}
08/09 17:52:15 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-high_school_history]: {'accuracy': 65.0}
08/09 17:52:18 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-middle_school_history]: {'accuracy': 86.36363636363636}
08/09 17:52:21 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-civil_servant]: {'accuracy': 42.5531914893617}
08/09 17:52:23 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-sports_science]: {'accuracy': 52.63157894736842}
08/09 17:52:25 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-plant_protection]: {'accuracy': 40.909090909090914}
08/09 17:52:27 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-basic_medicine]: {'accuracy': 68.42105263157895}
08/09 17:52:30 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-clinical_medicine]: {'accuracy': 31.818181818181817}
08/09 17:52:32 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-urban_and_rural_planner]: {'accuracy': 47.82608695652174}
08/09 17:52:35 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-accountant]: {'accuracy': 36.734693877551024}
08/09 17:52:37 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-fire_engineer]: {'accuracy': 38.70967741935484}
08/09 17:52:39 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-environmental_impact_assessment_engineer]: {'accuracy': 51.61290322580645}
08/09 17:52:42 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-tax_accountant]: {'accuracy': 36.734693877551024}
08/09 17:52:44 - OpenCompass - INFO - Task [opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b/ceval-physician]: {'accuracy': 42.857142857142854}
dataset version metric mode opencompass.models.huggingface.HuggingFace_Shanghai_AI_Laboratory_internlm2-chat-1_8b
---------------------------------------------- --------- ------------- ------ ---------------------------------------------------------------------------------------
ceval-computer_network db9ce2 accuracy gen 47.37
ceval-operating_system 1c2571 accuracy gen 47.37
ceval-computer_architecture a74dad accuracy gen 23.81
ceval-college_programming 4ca32a accuracy gen 13.51
ceval-college_physics 963fa8 accuracy gen 42.11
ceval-college_chemistry e78857 accuracy gen 33.33
ceval-advanced_mathematics ce03e2 accuracy gen 10.53
ceval-probability_and_statistics 65e812 accuracy gen 38.89
ceval-discrete_mathematics e894ae accuracy gen 25
ceval-electrical_engineer ae42b9 accuracy gen 27.03
ceval-metrology_engineer ee34ea accuracy gen 54.17
ceval-high_school_mathematics 1dc5bf accuracy gen 16.67
ceval-high_school_physics adf25f accuracy gen 42.11
ceval-high_school_chemistry 2ed27f accuracy gen 47.37
ceval-high_school_biology 8e2b9a accuracy gen 26.32
ceval-middle_school_mathematics bee8d5 accuracy gen 36.84
ceval-middle_school_biology 86817c accuracy gen 80.95
ceval-middle_school_physics 8accf6 accuracy gen 47.37
ceval-middle_school_chemistry 167a15 accuracy gen 80
ceval-veterinary_medicine b4e08d accuracy gen 43.48
ceval-college_economics f3f4e6 accuracy gen 32.73
ceval-business_administration c1614e accuracy gen 36.36
ceval-marxism cf874c accuracy gen 68.42
ceval-mao_zedong_thought 51c7a4 accuracy gen 70.83
ceval-education_science 591fee accuracy gen 55.17
ceval-teacher_qualification 4e4ced accuracy gen 59.09
ceval-high_school_politics 5c0de2 accuracy gen 57.89
ceval-high_school_geography 865461 accuracy gen 47.37
ceval-middle_school_politics 5be3e7 accuracy gen 71.43
ceval-middle_school_geography 8a63be accuracy gen 75
ceval-modern_chinese_history fc01af accuracy gen 52.17
ceval-ideological_and_moral_cultivation a2aa4a accuracy gen 73.68
ceval-logic f5b022 accuracy gen 27.27
ceval-law a110a1 accuracy gen 29.17
ceval-chinese_language_and_literature 0f8b68 accuracy gen 47.83
ceval-art_studies 2a1300 accuracy gen 42.42
ceval-professional_tour_guide 4e673e accuracy gen 51.72
ceval-legal_professional ce8787 accuracy gen 34.78
ceval-high_school_chinese 315705 accuracy gen 42.11
ceval-high_school_history 7eb30a accuracy gen 65
ceval-middle_school_history 48ab4a accuracy gen 86.36
ceval-civil_servant 87d061 accuracy gen 42.55
ceval-sports_science 70f27b accuracy gen 52.63
ceval-plant_protection 8941f9 accuracy gen 40.91
ceval-basic_medicine c409d6 accuracy gen 68.42
ceval-clinical_medicine 49e82d accuracy gen 31.82
ceval-urban_and_rural_planner 95b885 accuracy gen 47.83
ceval-accountant 002837 accuracy gen 36.73
ceval-fire_engineer bc23f5 accuracy gen 38.71
ceval-environmental_impact_assessment_engineer c64e2d accuracy gen 51.61
ceval-tax_accountant 3a5e3c accuracy gen 36.73
ceval-physician 6e277d accuracy gen 42.86
ceval-stem - naive_average gen 39.21
ceval-social-science - naive_average gen 57.43
ceval-humanities - naive_average gen 50.23
ceval-other - naive_average gen 44.62
ceval-hard - naive_average gen 32
ceval - naive_average gen 46.19
08/09 17:52:45 - OpenCompass - INFO - write summary to /root/opencompass/outputs/default/20240809_172327/summary/summary_20240809_172327.txt
08/09 17:52:45 - OpenCompass - INFO - write csv to /root/opencompass/outputs/default/20240809_172327/summary/summary_20240809_172327.csv
（五）评测结果确认
程序启动后，会依次将所有55个csv都走一遍推理流程。非常慢。
最终结果会把每个csv（领域）的评测结果都打印出来，还有6个平均值。
---------------------------------------------- --------- ------------- ------ -----
ceval-computer_network db9ce2 accuracy gen 47.37
ceval-operating_system 1c2571 accuracy gen 47.37
ceval-computer_architecture a74dad accuracy gen 23.81
ceval-college_programming 4ca32a accuracy gen 13.51
ceval-college_physics 963fa8 accuracy gen 42.11
ceval-college_chemistry e78857 accuracy gen 33.33
ceval-advanced_mathematics ce03e2 accuracy gen 10.53
ceval-probability_and_statistics 65e812 accuracy gen 38.89
ceval-discrete_mathematics e894ae accuracy gen 25
ceval-electrical_engineer ae42b9 accuracy gen 27.03
ceval-metrology_engineer ee34ea accuracy gen 54.17
ceval-high_school_mathematics 1dc5bf accuracy gen 16.67
ceval-high_school_physics adf25f accuracy gen 42.11
ceval-high_school_chemistry 2ed27f accuracy gen 47.37
ceval-high_school_biology 8e2b9a accuracy gen 26.32
ceval-middle_school_mathematics bee8d5 accuracy gen 36.84
ceval-middle_school_biology 86817c accuracy gen 80.95
ceval-middle_school_physics 8accf6 accuracy gen 47.37
ceval-middle_school_chemistry 167a15 accuracy gen 80
ceval-veterinary_medicine b4e08d accuracy gen 43.48
ceval-college_economics f3f4e6 accuracy gen 32.73
ceval-business_administration c1614e accuracy gen 36.36
ceval-marxism cf874c accuracy gen 68.42
ceval-mao_zedong_thought 51c7a4 accuracy gen 70.83
ceval-education_science 591fee accuracy gen 55.17
ceval-teacher_qualification 4e4ced accuracy gen 59.09
ceval-high_school_politics 5c0de2 accuracy gen 57.89
ceval-high_school_geography 865461 accuracy gen 47.37
ceval-middle_school_politics 5be3e7 accuracy gen 71.43
ceval-middle_school_geography 8a63be accuracy gen 75
ceval-modern_chinese_history fc01af accuracy gen 52.17
ceval-ideological_and_moral_cultivation a2aa4a accuracy gen 73.68
ceval-logic f5b022 accuracy gen 27.27
ceval-law a110a1 accuracy gen 29.17
ceval-chinese_language_and_literature 0f8b68 accuracy gen 47.83
ceval-art_studies 2a1300 accuracy gen 42.42
ceval-professional_tour_guide 4e673e accuracy gen 51.72
ceval-legal_professional ce8787 accuracy gen 34.78
ceval-high_school_chinese 315705 accuracy gen 42.11
ceval-high_school_history 7eb30a accuracy gen 65
ceval-middle_school_history 48ab4a accuracy gen 86.36
ceval-civil_servant 87d061 accuracy gen 42.55
ceval-sports_science 70f27b accuracy gen 52.63
ceval-plant_protection 8941f9 accuracy gen 40.91
ceval-basic_medicine c409d6 accuracy gen 68.42
ceval-clinical_medicine 49e82d accuracy gen 31.82
ceval-urban_and_rural_planner 95b885 accuracy gen 47.83
ceval-accountant 002837 accuracy gen 36.73
ceval-fire_engineer bc23f5 accuracy gen 38.71
ceval-environmental_impact_assessment_engineer c64e2d accuracy gen 51.61
ceval-tax_accountant 3a5e3c accuracy gen 36.73
ceval-physician 6e277d accuracy gen 42.86
ceval-stem - naive_average gen 39.21
ceval-social-science - naive_average gen 57.43
ceval-humanities - naive_average gen 50.23
ceval-other - naive_average gen 44.62
ceval-hard - naive_average gen 32
ceval - naive_average gen 46.19
