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eval_qwen_7b_chat.py
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from mmengine.config import read_base
with read_base():
from opencompass.configs.datasets.collections.leaderboard.qwen_chat import \
datasets
from opencompass.configs.models.qwen.hf_qwen_7b_chat import models
from opencompass.configs.summarizers.leaderboard import summarizer
'''
dataset version metric mode qwen-7b-chat-hf
-------------------------------------- --------- ---------------- ------ -----------------
--------- 考试 Exam --------- - - - -
ceval - naive_average gen 56.07
agieval - naive_average mixed 39.51
mmlu - naive_average gen 53.49
cmmlu - naive_average gen 55.29
GaokaoBench - weighted_average gen 48.01
ARC-c ca1e8e accuracy ppl 74.92
ARC-e ca1e8e accuracy ppl 85.71
--------- 语言 Language --------- - - - -
WiC efbd01 accuracy gen 51.41
chid-dev 25f3d3 accuracy ppl 77.72
afqmc-dev 4a1636 accuracy gen 69.00
WSC 678cb5 accuracy ppl 67.31
tydiqa-goldp - naive_average gen 15.32
flores_100 - naive_average gen 10.00
--------- 知识 Knowledge --------- - - - -
BoolQ 463fee accuracy ppl 83.18
commonsense_qa ddaabf accuracy gen 76.41
triviaqa b6904f score gen 43.25
nq 23dc1a score gen 16.26
--------- 理解 Understanding --------- - - - -
C3 e6778d accuracy gen 81.53
race-middle e0908b accuracy gen 83.01
race-high e0908b accuracy gen 77.79
openbookqa_fact 49689a accuracy ppl 86.40
csl_dev 3c4211 accuracy ppl 64.38
lcsts 0b3969 rouge1 gen 12.75
Xsum 207e69 rouge1 gen 20.21
eprstmt-dev ed0c5d accuracy ppl 85.00
lambada de1af2 accuracy gen 59.19
--------- 推理 Reasoning --------- - - - -
cmnli 15e783 accuracy ppl 48.08
ocnli 15e783 accuracy ppl 51.40
AX_b 689df1 accuracy ppl 65.67
AX_g 808a19 accuracy ppl 76.12
RTE 808a19 accuracy ppl 68.95
COPA 59f42c accuracy gen 92.00
ReCoRD 6f7cfc score gen 0.16
hellaswag 8d79e0 accuracy ppl 69.28
piqa 34eee7 accuracy ppl 72.20
siqa ea30d1 accuracy ppl 72.88
math 2c0b9e accuracy gen 7.84
gsm8k 4c7f6e accuracy gen 45.41
drop 53a0a7 score gen 39.62
openai_humaneval dd0dff humaneval_pass@1 gen 10.98
mbpp 60ca11 score gen 20.60
bbh - naive_average gen 42.61
'''