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* add compass arena * add compass_arena * add compass arena * Update opencompass/summarizers/subjective/compass_arena.py Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com> * Update opencompass/summarizers/subjective/__init__.py Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com> * Update opencompass/datasets/subjective/compass_arena.py Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com> * Update opencompass/datasets/subjective/__init__.py Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com> * Update configs/eval_subjective_compassarena.py Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com> * Update configs/datasets/subjective/compassarena/compassarena_compare.py Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com> * Update configs/eval_subjective_compassarena.py Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com> * Update configs/datasets/subjective/compassarena/compassarena_compare.py Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com> * fix check position bias --------- Co-authored-by: Songyang Zhang <tonysy@users.noreply.github.com>
95 lines
3.0 KiB
Python
95 lines
3.0 KiB
Python
from os import getenv as gv
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from opencompass.models import HuggingFaceCausalLM
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from mmengine.config import read_base
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with read_base():
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from .models.chatglm.hf_chatglm3_6b_32k import models as chatglm3_6b_32k_model
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from .models.yi.hf_yi_6b_chat import models as yi_6b_chat_model
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from .datasets.subjective.compassarena.compassarena_compare import subjective_datasets
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from opencompass.models import HuggingFaceCausalLM, HuggingFace, HuggingFaceChatGLM3, OpenAI
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from opencompass.models.openai_api import OpenAIAllesAPIN
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from opencompass.partitioners import NaivePartitioner, SizePartitioner
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from opencompass.partitioners.sub_naive import SubjectiveNaivePartitioner
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from opencompass.partitioners.sub_size import SubjectiveSizePartitioner
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from opencompass.runners import LocalRunner
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from opencompass.runners import SlurmSequentialRunner
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from opencompass.tasks import OpenICLInferTask
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from opencompass.tasks.subjective_eval import SubjectiveEvalTask
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from opencompass.summarizers import CompassArenaSummarizer
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infer = dict(
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#partitioner=dict(type=NaivePartitioner),
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partitioner=dict(type=SizePartitioner, max_task_size=10000),
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runner=dict(
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type=SlurmSequentialRunner,
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partition='llm_dev2',
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quotatype='auto',
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max_num_workers=256,
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task=dict(type=OpenICLInferTask)),
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)
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api_meta_template = dict(
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round=[
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dict(role='HUMAN', api_role='HUMAN'),
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dict(role='BOT', api_role='BOT', generate=True),
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]
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)
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gpt4 = dict(
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abbr='gpt4-turbo',
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type=OpenAI, path='gpt-4-1106-preview',
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key='', # The key will be obtained from $OPENAI_API_KEY, but you can write down your key here as well
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meta_template=api_meta_template,
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query_per_second=1,
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max_out_len=2048,
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max_seq_len=4096,
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batch_size=4,
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retry=20,
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temperature = 1
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)
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models = [*chatglm3_6b_32k_model, *yi_6b_chat_model]
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datasets = [*subjective_datasets]
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work_dir = 'outputs/compass_arena/'
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# -------------Inferen Stage ----------------------------------------
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judge_model = dict(
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abbr='GPT4-Turbo',
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type=OpenAI, path='gpt-4-1106-preview',
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key='', # The key will be obtained from $OPENAI_API_KEY, but you can write down your key here as well
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meta_template=api_meta_template,
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query_per_second=1,
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max_out_len=1024,
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max_seq_len=4096,
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batch_size=2,
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retry=20,
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temperature = 0
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)
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## ------------- Evaluation Configuration
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eval = dict(
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partitioner=dict(
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type=SubjectiveSizePartitioner,
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strategy='split',
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max_task_size=10000,
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mode='m2n',
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base_models = [gpt4],
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compare_models = [*chatglm3_6b_32k_model, *yi_6b_chat_model, ]
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),
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runner=dict(
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type=SlurmSequentialRunner,
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partition='llm_dev2',
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quotatype='auto',
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max_num_workers=32,
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task=dict(
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type=SubjectiveEvalTask,
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judge_cfg=judge_model
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)),
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)
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summarizer = dict(
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type=CompassArenaSummarizer
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) |