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* Add model postprocess function * Add model postprocess function * Add model postprocess function * Add model postprocess function * Add model postprocess function * Add model postprocess function * Add model postprocess function * Add model postprocess function --------- Co-authored-by: liushz <liuhongwei@pjlab.rog.cn>
44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever
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from opencompass.openicl.icl_inferencer import GenInferencer
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from opencompass.datasets import GSM8KDataset, gsm8k_postprocess, gsm8k_dataset_postprocess, Gsm8kEvaluator
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from opencompass.datasets import MATHEvaluator, math_postprocess_v2
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from opencompass.utils.model_postprocessors import xfinder_postprocess
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gsm8k_reader_cfg = dict(input_columns=['question'], output_column='answer')
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gsm8k_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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round=[
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dict(role='HUMAN', prompt='{question}\nPlease reason step by step, and put your final answer within \\boxed{}.'),
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],
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),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer, max_out_len=512),
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)
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gsm8k_eval_cfg = dict(
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evaluator=dict(type=MATHEvaluator, version='v2'),
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pred_postprocessor=dict(type=math_postprocess_v2),
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dataset_postprocessor=dict(type=gsm8k_dataset_postprocess),
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model_postprocessor=dict(
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type=xfinder_postprocess,
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question_type='math',
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xfinder_model_name='xFinder-qwen1505',
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xfiner_api_url='http://0.0.0.0:23333/v1,http://0.0.0.0:23334/v1')
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)
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gsm8k_datasets = [
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dict(
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abbr='gsm8k',
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type=GSM8KDataset,
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path='opencompass/gsm8k',
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reader_cfg=gsm8k_reader_cfg,
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infer_cfg=gsm8k_infer_cfg,
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eval_cfg=gsm8k_eval_cfg,
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)
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]
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