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update HuLifeQA

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wujiang 2025-02-04 12:21:29 +08:00 committed by jxd
parent f152ccf127
commit 3c93a98e91
1 changed files with 30 additions and 32 deletions
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62
examples/eval_subjective_hulifeqa.py → examples/eval_OpenHuEval_HuLifeQA.py
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@ -5,12 +5,14 @@ with read_base():
hu_life_qa_datasets, hu_life_qa_datasets,
task_group_new, task_group_new,
) )
from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_5_7b_chat import ( from opencompass.configs.models.qwen2_5.lmdeploy_qwen2_5_7b_instruct import (
models as lmdeploy_internlm2_5_7b_chat_model, models as lmdeploy_qwen2_5_7b_instruct_model, )
) from opencompass.configs.models.hf_internlm.lmdeploy_internlm3_8b_instruct import (
# from opencompass.configs.models.openai.gpt_4o_mini_20240718 import ( models as lmdeploy_internlm3_8b_instruct_model, )
# models as gpt_4o_mini_20240718_model, from opencompass.configs.models.openai.gpt_4o_mini_20240718 import (
# ) models as gpt_4o_mini_20240718_model, )
from opencompass.configs.models.qwq.lmdeploy_qwq_32b_preview import (
models as lmdeploy_qwq_32b_preview_model, )
from opencompass.models import OpenAI from opencompass.models import OpenAI
from opencompass.partitioners import ( from opencompass.partitioners import (
@ -22,41 +24,39 @@ from opencompass.summarizers import WildBenchSingleSummarizer
from opencompass.tasks import OpenICLInferTask from opencompass.tasks import OpenICLInferTask
from opencompass.tasks.subjective_eval import SubjectiveEvalTask from opencompass.tasks.subjective_eval import SubjectiveEvalTask
api_meta_template = dict( api_meta_template = dict(round=[
round=[ dict(role='SYSTEM', api_role='SYSTEM'),
dict(role="SYSTEM", api_role="SYSTEM"), dict(role='HUMAN', api_role='HUMAN'),
dict(role="HUMAN", api_role="HUMAN"), dict(role='BOT', api_role='BOT', generate=True),
dict(role="BOT", api_role="BOT", generate=True), ])
]
)
models = [ models = [
# *gpt_4o_mini_20240718_model, # *gpt_4o_mini_20240718_model,
*lmdeploy_internlm2_5_7b_chat_model, *lmdeploy_qwen2_5_7b_instruct_model,
*lmdeploy_internlm3_8b_instruct_model,
*lmdeploy_qwq_32b_preview_model,
] ]
judge_models = [ judge_models = [
dict( dict(
abbr="GPT-4o-2024-08-06", abbr='GPT-4o-2024-08-06',
type=OpenAI, type=OpenAI,
path="gpt-4o-2024-08-06", path='gpt-4o-2024-08-06',
key="ENV", key='ENV',
openai_proxy_url='ENV',
verbose=True,
meta_template=api_meta_template, meta_template=api_meta_template,
query_per_second=16, query_per_second=2,
max_out_len=4096, max_out_len=8192,
max_seq_len=4096, max_seq_len=8192,
batch_size=8, batch_size=8,
temperature=0, temperature=0,
) )
] ]
for ds in hu_life_qa_datasets: for ds in hu_life_qa_datasets:
ds.update( ds.update(dict(mode='singlescore', eval_mode='single'))
dict(
mode="singlescore",
eval_mode="single"
)
)
del ds del ds
datasets = [*hu_life_qa_datasets] datasets = [*hu_life_qa_datasets]
del hu_life_qa_datasets del hu_life_qa_datasets
@ -80,11 +80,9 @@ eval = dict(
models=models, models=models,
judge_models=judge_models, judge_models=judge_models,
), ),
runner=dict( runner=dict(type=LocalRunner,
type=LocalRunner, max_num_workers=16,
max_num_workers=16, task=dict(type=SubjectiveEvalTask)),
task=dict(type=SubjectiveEvalTask)
),
) )
summarizer = dict( summarizer = dict(
@ -93,5 +91,5 @@ summarizer = dict(
) )
work_dir = ( work_dir = (
"./outputs/" + __file__.split("/")[-1].split(".")[0] + "/" './outputs/' + __file__.split('/')[-1].split('.')[0] + '/'
) # do NOT modify this line, yapf: disable, pylint: disable ) # do NOT modify this line, yapf: disable, pylint: disable