mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
12b84aeb3b
* update gemini api and add gemini models * add openai models * update CHARM evaluation * add CHARM memorization tasks * add CharmMemSummarizer (output eval details for memorization-independent reasoning analysis * update CHARM readme --------- Co-authored-by: wujiang <wujiang@pjlab.org.cn>
95 lines
4.5 KiB
Python
95 lines
4.5 KiB
Python
from mmengine.config import read_base
|
|
|
|
from opencompass.models import OpenAI
|
|
from opencompass.runners import LocalRunner
|
|
from opencompass.partitioners.sub_size import SubjectiveSizePartitioner
|
|
from opencompass.tasks.subjective_eval import SubjectiveEvalTask
|
|
from opencompass.summarizers import CharmMemSummarizer
|
|
|
|
with read_base():
|
|
from .datasets.CHARM.charm_memory_gen_bbbd53 import charm_memory_datasets as datasets
|
|
|
|
# ------>>>>>> https://arxiv.org/abs/2403.14112
|
|
# from .models.openai.gpt_3_5_turbo_1106 import models as gpt_3_5_turbo_1106_model
|
|
# from .models.openai.gpt_4_1106_preview import models as gpt_4_1106_preview_model
|
|
# from .models.hf_llama.hf_llama2_7b_chat import models as llama2_7b_chat_model
|
|
# from .models.hf_llama.hf_llama2_13b_chat import models as llama2_13b_chat_model
|
|
# from .models.hf_llama.hf_llama2_70b_chat import models as llama2_70b_chat_model
|
|
# from .models.vicuna.hf_vicuna_7b_v15_16k import models as vicuna_7b_v15_16k_model
|
|
# from .models.vicuna.hf_vicuna_13b_v15_16k import models as vicuna_13b_v15_16k_model
|
|
# from .models.chatglm.hf_chatglm3_6b_32k import models as chatglm3_6b_32k_model
|
|
# from .models.baichuan.hf_baichuan2_7b_chat import models as baichuan2_7b_chat_model # need torch 2.1
|
|
# from .models.baichuan.hf_baichuan2_13b_chat import models as baichuan2_13b_chat_model # need torch 2.1
|
|
# from .models.hf_internlm.hf_internlm2_chat_7b import models as hf_internlm2_chat_7b_model
|
|
# from .models.hf_internlm.hf_internlm2_chat_20b import models as hf_internlm2_chat_20b_model
|
|
# from .models.yi.hf_yi_6b_chat import models as yi_6b_chat_model
|
|
# from .models.yi.hf_yi_34b_chat import models as yi_34b_chat_model
|
|
# from .models.deepseek.hf_deepseek_7b_chat import models as deepseek_7b_chat_model
|
|
# from .models.deepseek.hf_deepseek_67b_chat import models as deepseek_67b_chat_model
|
|
# from .models.qwen.hf_qwen_7b_chat import models as qwen_7b_chat_model
|
|
# from .models.qwen.hf_qwen_14b_chat import models as qwen_14b_chat_model
|
|
# from .models.qwen.hf_qwen_72b_chat import models as qwen_72b_chat_model
|
|
# <<<<<<------ https://arxiv.org/abs/2403.14112
|
|
|
|
# from .models.openai.gpt_3_5_turbo_0125 import models as gpt_3_5_turbo_0125_model
|
|
# from .models.openai.gpt_4o_2024_05_13 import models as gpt_4o_2024_05_13_model
|
|
# from .models.gemini.gemini_1_5_flash import models as gemini_1_5_flash_model
|
|
# from .models.gemini.gemini_1_5_pro import models as gemini_1_5_pro_model
|
|
|
|
# from .models.hf_llama.lmdeploy_llama3_8b_instruct import models as lmdeploy_llama3_8b_instruct_model
|
|
# from .models.hf_llama.lmdeploy_llama3_70b_instruct import models as lmdeploy_llama3_70b_instruct_model
|
|
|
|
# from .models.hf_internlm.lmdeploy_internlm2_chat_1_8b import models as lmdeploy_internlm2_chat_1_8b_model
|
|
# from .models.hf_internlm.lmdeploy_internlm2_chat_7b import models as lmdeploy_internlm2_chat_7b_model
|
|
# from .models.hf_internlm.lmdeploy_internlm2_chat_20b import models as lmdeploy_internlm2_chat_20b_model
|
|
|
|
# from .models.yi.hf_yi_1_5_6b_chat import models as yi_1_5_6b_chat_model
|
|
# from .models.yi.hf_yi_1_5_34b_chat import models as yi_1_5_34b_chat_model
|
|
|
|
# from .models.deepseek.hf_deepseek_v2_chat import models as deepseek_v2_chat_model
|
|
|
|
# from .models.qwen.hf_qwen1_5_1_8b_chat import models as qwen1_5_1_8b_chat_model
|
|
# from .models.qwen.hf_qwen1_5_7b_chat import models as qwen1_5_7b_chat_model
|
|
# from .models.qwen.hf_qwen1_5_14b_chat import models as qwen1_5_14b_chat_model
|
|
# from .models.qwen.hf_qwen1_5_72b_chat import models as qwen1_5_72b_chat_model
|
|
|
|
models = sum([v for k, v in locals().items() if k.endswith('_model')], [])
|
|
|
|
## ------------- JudgeLLM Configuration
|
|
api_meta_template = dict(round=[
|
|
dict(role='HUMAN', api_role='HUMAN'),
|
|
dict(role='BOT', api_role='BOT', generate=True),
|
|
])
|
|
judge_models = [
|
|
dict(
|
|
abbr='GPT-3.5-turbo-0125',
|
|
type=OpenAI,
|
|
path='gpt-3.5-turbo-0125',
|
|
key='ENV',
|
|
meta_template=api_meta_template,
|
|
query_per_second=16,
|
|
max_out_len=2048,
|
|
max_seq_len=2048,
|
|
batch_size=8,
|
|
temperature=0,
|
|
)
|
|
]
|
|
|
|
## ------------- Evaluation Configuration
|
|
eval = dict(
|
|
partitioner=dict(
|
|
type=SubjectiveSizePartitioner,
|
|
max_task_size=1000,
|
|
mode='singlescore',
|
|
models=models,
|
|
judge_models=judge_models,
|
|
),
|
|
runner=dict(type=LocalRunner,
|
|
max_num_workers=2,
|
|
task=dict(type=SubjectiveEvalTask)),
|
|
)
|
|
|
|
summarizer = dict(type=CharmMemSummarizer)
|
|
|
|
work_dir = './outputs/CHARM_mem/chat/'
|