Model: lmqg/mt5-base-zhquad-qg-ae
Author: lmqg
Pipeline: text-generation
Library: transformers
Tags: transformers, pytorch, mt5, text2text-generation, question generation, answer extraction, zh, dataset:lmqg/qg_zhquad, arxiv:2210.03992, license:cc-by-4.0, model-index, endpoints_compatible, region:us
Card metadata: license: cc-by-4.0
metrics: bleu4, meteor, rouge-l, bertscore, moverscore
language: zh
datasets: lmqg/qg_zhquad
pipeline_tag: text2text-generation
tags: question generation, answer extraction
widget: text: generate question: 南安普敦的警察服务由汉普郡警察提供。南安普敦行动的主要基地是一座新的八层专用建筑，造价3000万英镑。该建筑位于南路，2011年启用，靠近<hl> 南安普敦中央 <hl>火车站。此前，南安普顿市中心的行动位于市民中心西翼，但由于设施老化，加上计划在旧警察局和地方法院建造一座新博物馆，因此必须搬迁。在Portswood、Banister Park、Hille和Shirley还有其他警察局，在南安普顿中央火车站还有一个英国交通警察局。
example_title: Question Generation Example 1, text: generate question: 芝加哥大学的<hl> 1960—61 <hl>集团理论年汇集了Daniel Gorenstein、John G. Thompson和Walter Feit等团体理论家，奠定了一个合作的基础，借助于其他众多数学家的输入，1982中对所有有限的简单群进行了分类。这个项目的规模超过了以往的数学研究，无论是证明的长度还是研究人员的数量。目前正在进行研究，以简化这一分类的证明。如今，群论仍然是一个非常活跃的数学分支，影响着许多其他领域
example_title: Question Generation Example 2, text: extract answers: 南安普敦的警察服务由汉普郡警察提供。 南安普敦行动的主要基地是一座新的八层专用建筑，造价3000万英镑。 <hl> 该建筑位于南路，2011年启用，靠近 南安普敦中央 火车站。 <hl> 此前，南安普顿市中心的行动位于市民中心西翼，但由于设施老化，加上计划在旧警察局和地方法院建造一座新博物馆，因此必须搬迁。 在Portswood、Banister Park、Hille和Shirley还有其他警察局，在南安普顿中央火车站还有一个英国交通警察局。
example_title: Answer Extraction Example 1
model-index: name: lmqg/mt5-base-zhquad-qg-ae
results: task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_zhquad
type: default
args: default
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 14.63
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 34.07
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 23.69
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 76.82
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 57.24
verified: no, name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer
value: 78.4
verified: no, name: QAAlignedRecall-BERTScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_recall_bertscore_question_answer_generation_with_gold_answer
value: 81.92
verified: no, name: QAAlignedPrecision-BERTScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_precision_bertscore_question_answer_generation_with_gold_answer
value: 75.27
verified: no, name: QAAlignedF1Score-MoverScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_f1_score_moverscore_question_answer_generation_with_gold_answer
value: 53.55
verified: no, name: QAAlignedRecall-MoverScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_recall_moverscore_question_answer_generation_with_gold_answer
value: 55.82
verified: no, name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer
value: 51.56
verified: no, name: BLEU4 (Answer Extraction)
type: bleu4_answer_extraction
value: 82.63
verified: no, name: ROUGE-L (Answer Extraction)
type: rouge_l_answer_extraction
value: 95.72
verified: no, name: METEOR (Answer Extraction)
type: meteor_answer_extraction
value: 71.18
verified: no, name: BERTScore (Answer Extraction)
type: bertscore_answer_extraction
value: 99.76
verified: no, name: MoverScore (Answer Extraction)
type: moverscore_answer_extraction
value: 98.8
verified: no, name: AnswerF1Score (Answer Extraction)
type: answer_f1_score__answer_extraction
value: 95.15
verified: no, name: AnswerExactMatch (Answer Extraction)
type: answer_exact_match_answer_extraction
value: 95.07
verified: no
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Created: 2023-11-13 21:42:21