Model: lmqg/t5-small-squad-qg-ae
Author: lmqg
Pipeline: text-generation
Library: transformers
Tags: transformers, pytorch, t5, text2text-generation, question generation, answer extraction, en, dataset:lmqg/qg_squad, arxiv:2210.03992, license:cc-by-4.0, model-index, text-generation-inference, endpoints_compatible, region:us
Card metadata: license: cc-by-4.0
metrics: bleu4, meteor, rouge-l, bertscore, moverscore
language: en
datasets: lmqg/qg_squad
pipeline_tag: text2text-generation
tags: question generation, answer extraction
widget: text: generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.
example_title: Question Generation Example 1, text: generate question: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records.
example_title: Question Generation Example 2, text: generate question: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic,  <hl> Cadillac Records <hl> .
example_title: Question Generation Example 3, text: extract answers: <hl> Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl> Her performance in the film received praise from critics, and she garnered several nominations for her portrayal of James, including a Satellite Award nomination for Best Supporting Actress, and a NAACP Image Award nomination for Outstanding Supporting Actress.
example_title: Answer Extraction Example 1, text: extract answers: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records. <hl> Her performance in the film received praise from critics, and she garnered several nominations for her portrayal of James, including a Satellite Award nomination for Best Supporting Actress, and a NAACP Image Award nomination for Outstanding Supporting Actress. <hl>
example_title: Answer Extraction Example 2
model-index: name: lmqg/t5-small-squad-qg-ae
results: task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qg_squad
type: default
args: default
metrics: name: BLEU4 (Question Generation)
type: bleu4_question_generation
value: 24.18
verified: no, name: ROUGE-L (Question Generation)
type: rouge_l_question_generation
value: 51.12
verified: no, name: METEOR (Question Generation)
type: meteor_question_generation
value: 25.58
verified: no, name: BERTScore (Question Generation)
type: bertscore_question_generation
value: 90.18
verified: no, name: MoverScore (Question Generation)
type: moverscore_question_generation
value: 63.72
verified: no, name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer
value: 91.74
verified: no, name: QAAlignedRecall-BERTScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_recall_bertscore_question_answer_generation_with_gold_answer
value: 92.01
verified: no, name: QAAlignedPrecision-BERTScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_precision_bertscore_question_answer_generation_with_gold_answer
value: 91.49
verified: no, name: QAAlignedF1Score-MoverScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_f1_score_moverscore_question_answer_generation_with_gold_answer
value: 63.23
verified: no, name: QAAlignedRecall-MoverScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_recall_moverscore_question_answer_generation_with_gold_answer
value: 63.29
verified: no, name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer))
type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer
value: 63.26
verified: no, name: BLEU4 (Answer Extraction)
type: bleu4_answer_extraction
value: 27.06
verified: no, name: ROUGE-L (Answer Extraction)
type: rouge_l_answer_extraction
value: 66.52
verified: no, name: METEOR (Answer Extraction)
type: meteor_answer_extraction
value: 40.9
verified: no, name: BERTScore (Answer Extraction)
type: bertscore_answer_extraction
value: 90.77
verified: no, name: MoverScore (Answer Extraction)
type: moverscore_answer_extraction
value: 79.49
verified: no, name: AnswerF1Score (Answer Extraction)
type: answer_f1_score__answer_extraction
value: 66.92
verified: no, name: AnswerExactMatch (Answer Extraction)
type: answer_exact_match_answer_extraction
value: 54.17
verified: no
Likes: 0 | All-time downloads: 8957
Created: 2022-03-02 23:29:05