OpenCompass/examples/eval_subjective_wildbench_single.py
2025-03-12 17:29:46 +08:00

113 lines
3.9 KiB
Python

from mmengine.config import read_base
with read_base():
from opencompass.configs.datasets.subjective.wildbench.wildbench_single_judge import wildbench_datasets
from opencompass.configs.models.openai.gpt_4o_mini_20240718 import models as gpt_4o_mini_20240718_model
from opencompass.configs.models.openai.gpt_4o_2024_11_20 import models as gpt_4o_20241120_model
from opencompass.configs.models.deepseek.deepseek_v3_api_aliyun import models as deepseek_v3_api_aliyun_model
from opencompass.configs.models.qwen2_5.lmdeploy_qwen2_5_7b_instruct import models as lmdeploy_qwen2_5_7b_instruct_model
from opencompass.configs.models.qwen2_5.lmdeploy_qwen2_5_72b_instruct import models as lmdeploy_qwen2_5_72b_instruct_model
from opencompass.configs.models.hf_llama.lmdeploy_llama3_1_8b_instruct import models as lmdeploy_llama3_1_8b_instruct_model
from opencompass.configs.models.hf_llama.lmdeploy_llama3_1_70b_instruct import models as lmdeploy_llama3_1_70b_instruct_model
# from opencompass.configs.models.hf_internlm.lmdeploy_internlm3_8b_instruct import models as lmdeploy_internlm3_8b_instruct_model
from opencompass.configs.models.openai.o1_mini_2024_09_12 import models as o1_mini_2024_09_12_model
from opencompass.configs.models.qwq.lmdeploy_qwq_32b_preview import models as lmdeploy_qwq_32b_preview_model
from opencompass.configs.models.deepseek.deepseek_r1_api_aliyun import models as deepseek_r1_api_aliyun_model
# from opencompass.configs.models.openai.o3_mini_2025_01_31 import models as o3_mini_2025_01_31_model
from opencompass.models import OpenAI
from opencompass.partitioners import (
NumWorkerPartitioner,
SubjectiveNumWorkerPartitioner,
)
from opencompass.runners import LocalRunner, SlurmSequentialRunner
from opencompass.summarizers import WildBenchSingleSummarizer
from opencompass.tasks import OpenICLInferTask
from opencompass.tasks.subjective_eval import SubjectiveEvalTask
api_meta_template = dict(round=[
dict(role='SYSTEM', api_role='SYSTEM'),
dict(role='HUMAN', api_role='HUMAN'),
dict(role='BOT', api_role='BOT', generate=True),
])
for model in deepseek_r1_api_aliyun_model:
model['return_reasoning_content'] = True
model['pred_postprocessor'] = {
'open_hu_eval_*': {
'type': 'rm_<think>_before_eval'
}
}
del model
models = [
*gpt_4o_mini_20240718_model,
*gpt_4o_20241120_model,
*o1_mini_2024_09_12_model,
*deepseek_v3_api_aliyun_model,
*deepseek_r1_api_aliyun_model,
*lmdeploy_qwen2_5_7b_instruct_model,
*lmdeploy_qwen2_5_72b_instruct_model,
*lmdeploy_llama3_1_8b_instruct_model,
*lmdeploy_llama3_1_70b_instruct_model,
# *lmdeploy_internlm3_8b_instruct_model,
*lmdeploy_qwq_32b_preview_model,
]
judge_models = [
dict(
abbr='GPT-4o-2024-08-06',
type=OpenAI,
path='gpt-4o-2024-08-06',
key='ENV',
openai_proxy_url='ENV',
verbose=True,
meta_template=api_meta_template,
query_per_second=2,
max_out_len=8192,
max_seq_len=16384,
batch_size=8,
temperature=0,
)
]
for ds in wildbench_datasets:
ds.update(dict(mode='singlescore'))
del ds
datasets = [*wildbench_datasets]
del wildbench_datasets
infer = dict(
partitioner=dict(
type=NumWorkerPartitioner,
num_worker=8,
),
runner=dict(
type=SlurmSequentialRunner,
max_num_workers=16,
task=dict(type=OpenICLInferTask),
),
)
eval = dict(
partitioner=dict(
type=SubjectiveNumWorkerPartitioner,
num_worker=8,
models=models,
judge_models=judge_models,
),
runner=dict(type=LocalRunner,
max_num_workers=16,
task=dict(type=SubjectiveEvalTask)),
)
summarizer = dict(type=WildBenchSingleSummarizer)
work_dir = (
'./outputs/' + __file__.split('/')[-1].split('.')[0] + '/'
) # do NOT modify this line, yapf: disable, pylint: disable