OpenCompass/configs/datasets/hellaswag
Xingjun.Wang edab1c07ba
[Feature] Support ModelScope datasets (#1289)
* add ceval, gsm8k modelscope surpport

* update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest

* update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets

* format file

* format file

* update dataset format

* support ms_dataset

* udpate dataset for modelscope support

* merge myl_dev and update test_ms_dataset

* udpate dataset for modelscope support

* update readme

* update eval_api_zhipu_v2

* remove unused code

* add get_data_path function

* update readme

* remove tydiqa japanese subset

* add ceval, gsm8k modelscope surpport

* update race, mmlu, arc, cmmlu, commonsenseqa, humaneval and unittest

* update bbh, flores, obqa, siqa, storycloze, summedits, winogrande, xsum datasets

* format file

* format file

* update dataset format

* support ms_dataset

* udpate dataset for modelscope support

* merge myl_dev and update test_ms_dataset

* update readme

* udpate dataset for modelscope support

* update eval_api_zhipu_v2

* remove unused code

* add get_data_path function

* remove tydiqa japanese subset

* update util

* remove .DS_Store

* fix md format

* move util into package

* update docs/get_started.md

* restore eval_api_zhipu_v2.py, add environment setting

* Update dataset

* Update

* Update

* Update

* Update

---------

Co-authored-by: Yun lin <yunlin@U-Q9X2K4QV-1904.local>
Co-authored-by: Yunnglin <mao.looper@qq.com>
Co-authored-by: Yun lin <yunlin@laptop.local>
Co-authored-by: Yunnglin <maoyl@smail.nju.edu.cn>
Co-authored-by: zhangsongyang <zhangsongyang@pjlab.org.cn>
2024-07-29 13:48:32 +08:00
..
hellaswag_10shot_gen_e42710.py [Feature] Support ModelScope datasets (#1289) 2024-07-29 13:48:32 +08:00
hellaswag_10shot_ppl_59c85e.py [Feature] Support ModelScope datasets (#1289) 2024-07-29 13:48:32 +08:00
hellaswag_clean_ppl.py [Feature] Support ModelScope datasets (#1289) 2024-07-29 13:48:32 +08:00
hellaswag_gen_6faab5.py [Feature] Support ModelScope datasets (#1289) 2024-07-29 13:48:32 +08:00
hellaswag_gen.py Align prompt files with their hash (#1) 2023-07-05 18:28:58 +08:00
hellaswag_ppl_7d7f2d.py [Feature] Support ModelScope datasets (#1289) 2024-07-29 13:48:32 +08:00
hellaswag_ppl_9dbb12.py [Feature] Support ModelScope datasets (#1289) 2024-07-29 13:48:32 +08:00
hellaswag_ppl_47bff9.py [Feature] Support ModelScope datasets (#1289) 2024-07-29 13:48:32 +08:00
hellaswag_ppl_a6e128.py [Feature] Support ModelScope datasets (#1289) 2024-07-29 13:48:32 +08:00
hellaswag_ppl.py Align prompt files with their hash (#1) 2023-07-05 18:28:58 +08:00
README.md [Doc] Update running command in README (#1206) 2024-05-30 00:06:39 +08:00

HellaSwag

python3 run.py --models hf_internlm2_7b --datasets hellaswag_10shot_ppl_59c85e --debug
python3 run.py --models hf_internlm2_chat_7b --datasets hellaswag_10shot_gen_e42710 --debug

Base Models

model hellaswag
llama-7b-turbomind 26.99
llama-13b-turbomind 34.21
llama-30b-turbomind 35.65
llama-65b-turbomind 44.63
llama-2-7b-turbomind 29.29
llama-2-13b-turbomind 45.06
llama-2-70b-turbomind 55.91
llama-3-8b-turbomind 50.86
llama-3-70b-turbomind 80.60
internlm2-1.8b-turbomind 44.86
internlm2-7b-turbomind 89.52
internlm2-20b-turbomind 91.41
qwen-1.8b-turbomind 38.04
qwen-7b-turbomind 64.62
qwen-14b-turbomind 85.88
qwen-72b-turbomind 90.40
qwen1.5-0.5b-hf 29.19
qwen1.5-1.8b-hf 42.32
qwen1.5-4b-hf 55.89
qwen1.5-7b-hf 68.51
qwen1.5-14b-hf 83.86
qwen1.5-32b-hf 87.28
qwen1.5-72b-hf 90.41
qwen1.5-moe-a2-7b-hf 72.42
mistral-7b-v0.1-hf 42.04
mistral-7b-v0.2-hf 46.24
mixtral-8x7b-v0.1-hf 66.22
mixtral-8x22b-v0.1-hf 79.66
yi-6b-hf 66.83
yi-34b-hf 83.83
deepseek-7b-base-hf 30.42
deepseek-67b-base-hf 70.75

Chat Models

model hellaswag
qwen1.5-0.5b-chat-hf 29.60
qwen1.5-1.8b-chat-hf 41.71
qwen1.5-4b-chat-hf 60.45
qwen1.5-7b-chat-hf 71.58
qwen1.5-14b-chat-hf 79.70
qwen1.5-32b-chat-hf 88.56
qwen1.5-72b-chat-hf 89.37
qwen1.5-110b-chat-hf 91.11
internlm2-chat-1.8b-hf 60.47
internlm2-chat-1.8b-sft-hf 61.58
internlm2-chat-7b-hf 84.80
internlm2-chat-7b-sft-hf 85.21
internlm2-chat-20b-hf 88.48
internlm2-chat-20b-sft-hf 88.95
llama-3-8b-instruct-hf 74.39
llama-3-70b-instruct-hf 89.07
llama-3-8b-instruct-lmdeploy 73.31
llama-3-70b-instruct-lmdeploy 87.28
mistral-7b-instruct-v0.1-hf 53.00
mistral-7b-instruct-v0.2-hf 65.72
mixtral-8x7b-instruct-v0.1-hf 76.16