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bart-large-squad-qg

Text2Text Generation
Transformers
PyTorch
English
bart
question generation
Eval Results
Inference Endpoints
Model card Files Community
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asahi417 commited on
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1 Parent(s): 53c61a7

model update

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  1. README.md +12 -12
README.md CHANGED
@@ -46,23 +46,23 @@ model-index:
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  - name: MoverScore (Question Generation)
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  type: moverscore_question_generation
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  value: 64.99
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- - name: QAAlignedF1Score-BERTScore (Gold Answer)
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- type: qa_aligned_f1_score_bertscore_gold_answer
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  value: 95.54
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- - name: QAAlignedRecall-BERTScore (Gold Answer)
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- type: qa_aligned_recall_bertscore_gold_answer
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  value: 95.49
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- - name: QAAlignedPrecision-BERTScore (Gold Answer)
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- type: qa_aligned_precision_bertscore_gold_answer
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  value: 95.59
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- - name: QAAlignedF1Score-MoverScore (Gold Answer)
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- type: qa_aligned_f1_score_moverscore_gold_answer
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  value: 70.82
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- - name: QAAlignedRecall-MoverScore (Gold Answer)
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- type: qa_aligned_recall_moverscore_gold_answer
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  value: 70.54
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- - name: QAAlignedPrecision-MoverScore (Gold Answer)
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- type: qa_aligned_precision_moverscore_gold_answer
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  value: 71.13
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  - task:
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  name: Text2text Generation
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  - name: MoverScore (Question Generation)
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  type: moverscore_question_generation
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  value: 64.99
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+ - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
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  value: 95.54
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+ - name: QAAlignedRecall-BERTScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_recall_bertscore_question_answer_generation_gold_answer
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  value: 95.49
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+ - name: QAAlignedPrecision-BERTScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_precision_bertscore_question_answer_generation_gold_answer
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  value: 95.59
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+ - name: QAAlignedF1Score-MoverScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_f1_score_moverscore_question_answer_generation_gold_answer
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  value: 70.82
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+ - name: QAAlignedRecall-MoverScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_recall_moverscore_question_answer_generation_gold_answer
63
  value: 70.54
64
+ - name: QAAlignedPrecision-MoverScore (Question & Answer Generation) [Gold Answer]
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+ type: qa_aligned_precision_moverscore_question_answer_generation_gold_answer
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  value: 71.13
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  - task:
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  name: Text2text Generation