Hugging Face's logo

lmqg
/
t5-base-tweetqa-qag

Text2Text Generation
Transformers
PyTorch
English
t5
questions and answers generation
Eval Results
Inference Endpoints
text-generation-inference
Model card Files Community
1
asahi417 commited on
Commit
1645eef
•
1 Parent(s): 0ffb71d

model update

Browse files
Files changed (1) hide show
  1. README.md +12 -12
README.md CHANGED
@@ -42,23 +42,23 @@ model-index:
42
  - name: MoverScore (Question & Answer Generation)
43
  type: moverscore_question_answer_generation
44
  value: 61.82
45
- - name: QAAlignedF1Score-BERTScore
46
- type: qa_aligned_f1_score_bertscore
47
  value: 92.37
48
- - name: QAAlignedRecall-BERTScore
49
- type: qa_aligned_recall_bertscore
50
  value: 92.01
51
- - name: QAAlignedPrecision-BERTScore
52
- type: qa_aligned_precision_bertscore
53
  value: 92.75
54
- - name: QAAlignedF1Score-MoverScore
55
- type: qa_aligned_f1_score_moverscore
56
  value: 64.63
57
- - name: QAAlignedRecall-MoverScore
58
- type: qa_aligned_recall_moverscore
59
  value: 63.85
60
- - name: QAAlignedPrecision-MoverScore
61
- type: qa_aligned_precision_moverscore
62
  value: 65.5
63
  ---
64
 
 
42
  - name: MoverScore (Question & Answer Generation)
43
  type: moverscore_question_answer_generation
44
  value: 61.82
45
+ - name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
46
+ type: qa_aligned_f1_score_bertscore_question_answer_generation
47
  value: 92.37
48
+ - name: QAAlignedRecall-BERTScore (Question & Answer Generation)
49
+ type: qa_aligned_recall_bertscore_question_answer_generation
50
  value: 92.01
51
+ - name: QAAlignedPrecision-BERTScore (Question & Answer Generation)
52
+ type: qa_aligned_precision_bertscore_question_answer_generation
53
  value: 92.75
54
+ - name: QAAlignedF1Score-MoverScore (Question & Answer Generation)
55
+ type: qa_aligned_f1_score_moverscore_question_answer_generation
56
  value: 64.63
57
+ - name: QAAlignedRecall-MoverScore (Question & Answer Generation)
58
+ type: qa_aligned_recall_moverscore_question_answer_generation
59
  value: 63.85
60
+ - name: QAAlignedPrecision-MoverScore (Question & Answer Generation)
61
+ type: qa_aligned_precision_moverscore_question_answer_generation
62
  value: 65.5
63
  ---
64