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bart-large-tweetqa-qag

Text Generation
Transformers
PyTorch
English
bart
text2text-generation
questions and answers generation
Eval Results (legacy)
Model card Files
xet
 Community
1
asahi417 commited on
Commit
9bbaf33
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1 Parent(s): ce2d50b

model update

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  1. README.md +12 -12
README.md CHANGED
@@ -42,23 +42,23 @@ model-index:
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  - name: MoverScore (Question & Answer Generation)
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  type: moverscore_question_answer_generation
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  value: 62.25
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- - name: QAAlignedF1Score-BERTScore
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- type: qa_aligned_f1_score_bertscore
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  value: 92.47
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- - name: QAAlignedRecall-BERTScore
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- type: qa_aligned_recall_bertscore
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  value: 92.21
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- - name: QAAlignedPrecision-BERTScore
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- type: qa_aligned_precision_bertscore
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  value: 92.74
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- - name: QAAlignedF1Score-MoverScore
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- type: qa_aligned_f1_score_moverscore
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  value: 64.66
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- - name: QAAlignedRecall-MoverScore
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- type: qa_aligned_recall_moverscore
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  value: 64.03
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- - name: QAAlignedPrecision-MoverScore
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- type: qa_aligned_precision_moverscore
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  value: 65.39
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  ---
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  - name: MoverScore (Question & Answer Generation)
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  type: moverscore_question_answer_generation
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  value: 62.25
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+ - name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
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+ type: qa_aligned_f1_score_bertscore_question_answer_generation
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  value: 92.47
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+ - name: QAAlignedRecall-BERTScore (Question & Answer Generation)
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+ type: qa_aligned_recall_bertscore_question_answer_generation
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  value: 92.21
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+ - name: QAAlignedPrecision-BERTScore (Question & Answer Generation)
52
+ type: qa_aligned_precision_bertscore_question_answer_generation
53
  value: 92.74
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+ - name: QAAlignedF1Score-MoverScore (Question & Answer Generation)
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+ type: qa_aligned_f1_score_moverscore_question_answer_generation
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  value: 64.66
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+ - name: QAAlignedRecall-MoverScore (Question & Answer Generation)
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+ type: qa_aligned_recall_moverscore_question_answer_generation
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  value: 64.03
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+ - name: QAAlignedPrecision-MoverScore (Question & Answer Generation)
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+ type: qa_aligned_precision_moverscore_question_answer_generation
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  value: 65.39
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  ---
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