Hugging Face's logo

lmqg
/
bart-base-tweetqa-qa

Text2Text Generation
Transformers
PyTorch
English
bart
question answering
Eval Results
Inference Endpoints
Model card Files Community
1
asahi417 commited on
Commit
bd49219
•
1 Parent(s): 31c2ed8

model update

Browse files
Files changed (1) hide show
  1. README.md +11 -11
README.md CHANGED
@@ -29,23 +29,23 @@ model-index:
29
  type: default
30
  args: default
31
  metrics:
32
- - name: BLEU4
33
- type: bleu4
34
  value: 33.57
35
- - name: ROUGE-L
36
- type: rouge-l
37
  value: 58.37
38
- - name: METEOR
39
- type: meteor
40
  value: 32.39
41
- - name: BERTScore
42
- type: bertscore
43
  value: 93.84
44
- - name: MoverScore
45
- type: moverscore
46
  value: 78.67
47
  - name: AnswerF1Score (Question Answering)
48
- type: answer_f1_score_question_answering
49
  value: 64.79
50
  - name: AnswerExactMatch (Question Answering)
51
  type: answer_exact_match_question_answering
 
29
  type: default
30
  args: default
31
  metrics:
32
+ - name: BLEU4 (Question Answering)
33
+ type: bleu4_question_answering
34
  value: 33.57
35
+ - name: ROUGE-L (Question Answering)
36
+ type: rouge_l_question_answering
37
  value: 58.37
38
+ - name: METEOR (Question Answering)
39
+ type: meteor_question_answering
40
  value: 32.39
41
+ - name: BERTScore (Question Answering)
42
+ type: bertscore_question_answering
43
  value: 93.84
44
+ - name: MoverScore (Question Answering)
45
+ type: moverscore_question_answering
46
  value: 78.67
47
  - name: AnswerF1Score (Question Answering)
48
+ type: answer_f1_score__question_answering
49
  value: 64.79
50
  - name: AnswerExactMatch (Question Answering)
51
  type: answer_exact_match_question_answering