Model: lmqg/mt5-base-esquad-qag
Author: lmqg
Pipeline: text-generation
Library: transformers
Tags: transformers, pytorch, mt5, text2text-generation, questions and answers generation, es, dataset:lmqg/qag_esquad, 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: es
datasets: lmqg/qag_esquad
pipeline_tag: text2text-generation
tags: questions and answers generation
widget: text: del Ministerio de Desarrollo Urbano , Gobierno de la India.
example_title: Questions & Answers Generation Example 1
model-index: name: lmqg/mt5-base-esquad-qag
results: task: name: Text2text Generation
type: text2text-generation
dataset: name: lmqg/qag_esquad
type: default
args: default
metrics: name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
type: qa_aligned_f1_score_bertscore_question_answer_generation
value: 78.96
verified: no, name: QAAlignedRecall-BERTScore (Question & Answer Generation)
type: qa_aligned_recall_bertscore_question_answer_generation
value: 79.31
verified: no, name: QAAlignedPrecision-BERTScore (Question & Answer Generation)
type: qa_aligned_precision_bertscore_question_answer_generation
value: 78.66
verified: no, name: QAAlignedF1Score-MoverScore (Question & Answer Generation)
type: qa_aligned_f1_score_moverscore_question_answer_generation
value: 54.3
verified: no, name: QAAlignedRecall-MoverScore (Question & Answer Generation)
type: qa_aligned_recall_moverscore_question_answer_generation
value: 54.42
verified: no, name: QAAlignedPrecision-MoverScore (Question & Answer Generation)
type: qa_aligned_precision_moverscore_question_answer_generation
value: 54.21
verified: no
Likes: 0 | All-time downloads: 2841
Created: 2023-01-10 07:31:52