OpenCompass/configs/subjective.py

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from mmengine.config import read_base
with read_base():
from .models.qwen.hf_qwen_7b_chat import models as hf_qwen_7b_chat
from .models.chatglm.hf_chatglm2_6b import models as hf_chatglm2_6b
from .models.hf_internlm.hf_internlm_chat_7b import models as hf_internlm_chat_7b
from .datasets.subjective_cmp.subjective_cmp import subjective_datasets
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from .summarizers.subjective import summarizer
datasets = [*subjective_datasets]
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from opencompass.models import HuggingFaceCausalLM, HuggingFace, OpenAI
from opencompass.partitioners.sub_naive import SubjectiveNaivePartitioner
from opencompass.runners import LocalRunner
from opencompass.tasks.subjective_eval import SubjectiveEvalTask
models = [*hf_qwen_7b_chat, *hf_chatglm2_6b, *hf_internlm_chat_7b]
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api_meta_template = dict(
round=[
dict(role='HUMAN', api_role='HUMAN'),
dict(role='BOT', api_role='BOT', generate=True)
],
reserved_roles=[
dict(role='SYSTEM', api_role='SYSTEM'),
],
)
eval = dict(
partitioner=dict(
type=SubjectiveNaivePartitioner,
mode='all', # 新参数
),
runner=dict(
type=LocalRunner,
max_num_workers=2, # 支持并行比较
task=dict(
type=SubjectiveEvalTask, # 新 task用来读入一对 model 的输入
judge_cfg=dict(
abbr='GPT4',
type=OpenAI,
path='gpt-4-0613',
key='ENV',
meta_template=api_meta_template,
query_per_second=1,
max_out_len=2048,
max_seq_len=2048,
batch_size=2),
)),
)