OpenCompass/examples/eval_OpenHuEval_HuStandardFIB.py

43 lines
2.4 KiB
Python

from mmengine.config import read_base
with read_base():
from opencompass.configs.datasets.OpenHuEval.HuStandardFIB.HuStandardFIB import HuStandardFIB_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_2024_11_20_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.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.deepseek.deepseek_r1_api_siliconflow import models as deepseek_r1_api_siliconflow_model
from opencompass.configs.models.openai.o1_mini_2024_09_12 import models as o1_mini_2024_09_12_model
# from opencompass.configs.models.openai.o3_mini_2025_01_31 import models as o3_mini_2025_01_31_model
datasets = HuStandardFIB_datasets
models = sum([v for k, v in locals().items() if k.endswith('_model')], [])
for model in models:
if model['abbr'].startswith('deepseek_r1_api_'):
model['return_reasoning_content'] = True
model['pred_postprocessor'] = {
'OpenHuEval_*': {
'type': 'rm_<think>_before_eval'
}
}
if model['abbr'].startswith('QwQ'):
model['pred_postprocessor'] = {
'OpenHuEval_*': {
'type': 'extract_qwq_answer_before_eval_for_hustandardfib'
}
}
del model
work_dir = './outputs/' + __file__.split('/')[-1].split('.')[0] + '/' # do NOT modify this line, yapf: disable, pylint: disable