autoevaluator HF staff commited on
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Add evaluation results on the default config and validation split of gigaword

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Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the default config and validation split of the [gigaword](https://huggingface.co/datasets/gigaword) dataset by

@Xiaoci

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-gigaword-default-50c095-2587478720).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=gigaword).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=gigaword).

Files changed (1) hide show
  1. README.md +53 -14
README.md CHANGED
@@ -1,12 +1,12 @@
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  ---
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  language:
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  - en
 
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  tags:
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  - summarization
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- license: mit
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- thumbnail: https://huggingface.co/front/thumbnails/facebook.png
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  datasets:
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  - cnn_dailymail
 
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  model-index:
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  - name: facebook/bart-large-cnn
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  results:
@@ -19,30 +19,69 @@ model-index:
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  config: 3.0.0
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  split: train
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  metrics:
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- - name: ROUGE-1
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- type: rouge
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  value: 42.9486
 
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  verified: true
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- - name: ROUGE-2
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- type: rouge
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  value: 20.8149
 
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  verified: true
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- - name: ROUGE-L
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- type: rouge
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  value: 30.6186
 
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  verified: true
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- - name: ROUGE-LSUM
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- type: rouge
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  value: 40.0376
 
37
  verified: true
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- - name: loss
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- type: loss
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  value: 2.529000997543335
 
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  verified: true
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- - name: gen_len
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- type: gen_len
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  value: 78.5866
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  verified: true
 
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  ---
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  # BART (large-sized model), fine-tuned on CNN Daily Mail
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1
  ---
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  language:
3
  - en
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+ license: mit
5
  tags:
6
  - summarization
 
 
7
  datasets:
8
  - cnn_dailymail
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+ thumbnail: https://huggingface.co/front/thumbnails/facebook.png
10
  model-index:
11
  - name: facebook/bart-large-cnn
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  results:
 
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  config: 3.0.0
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  split: train
21
  metrics:
22
+ - type: rouge
 
23
  value: 42.9486
24
+ name: ROUGE-1
25
  verified: true
26
+ - type: rouge
 
27
  value: 20.8149
28
+ name: ROUGE-2
29
  verified: true
30
+ - type: rouge
 
31
  value: 30.6186
32
+ name: ROUGE-L
33
  verified: true
34
+ - type: rouge
 
35
  value: 40.0376
36
+ name: ROUGE-LSUM
37
  verified: true
38
+ - type: loss
 
39
  value: 2.529000997543335
40
+ name: loss
41
  verified: true
42
+ - type: gen_len
 
43
  value: 78.5866
44
+ name: gen_len
45
+ verified: true
46
+ - task:
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+ type: summarization
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+ name: Summarization
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+ dataset:
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+ name: gigaword
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+ type: gigaword
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+ config: default
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+ split: validation
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+ metrics:
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+ - type: rouge
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+ value: 19.8427
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+ name: ROUGE-1
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+ verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWY3MDJkMGJhNmQ1NTBmZGFkMjg2NWUxODA5MmExYjJhZDk1MmI5MGY5Yzc5M2UwYjlkYTNhY2FlNTkwODM0MiIsInZlcnNpb24iOjF9.IFzIf6fMxEoy_KmpZtV2LczHzmu794x75DCvupXFjHCDwmH4rhINZudBhBGrHsoFwSfZywmIyW_LBkHUVoyhCQ
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+ - type: rouge
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+ value: 6.8924
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+ name: ROUGE-2
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+ verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzc4NGE1YjhkYWU4NzBjNTMyOWU2M2Y3MTVhNzU2YjI4Yjc4NmM3MzNjNDE2NDg2Nzg1NWJlNWUwMTRmMzdmNSIsInZlcnNpb24iOjF9.KXPBXcPCIHHN1XLJ5rLqJCsc6v3O8y2sMuE_Gcvs11xSxVuyh5QG4UTApJwF_Oi09lwJy2DP0plMDesX5R2nAw
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+ - type: rouge
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+ value: 17.284
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+ name: ROUGE-L
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+ verified: true
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+ - type: rouge
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+ value: 18.0819
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+ name: ROUGE-LSUM
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+ verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzczZTQ3MDNmZTQ1NzczM2UyY2M3YmM0ODM5MmZkZjU2M2FiNmIxOWJhYzQxN2FmMjZmYjFlOGY5MGFhZjgxNiIsInZlcnNpb24iOjF9.oTWMJ06kkHBV7pCnJx0deqTCdbXUAFK-qt_1PdZCKgUcjwTv1iUeHJoo2vMyydWrKjiUQnZ9__GHm3ljaTZpBg
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+ - type: loss
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+ value: 3.6989879608154297
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+ name: loss
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+ verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDViNDI3MmFkZWE3ZTA0YWZiNGIzMWMxODVjOTU0NmY3N2RkNzExM2RjMzQyY2M2ZmQ1NjMwOTNmMWM5MzFiMCIsInZlcnNpb24iOjF9.jymZ8MZ9XSRnUl1tWzOum6oeOLiSAAflCgs-ovXWSr9cNU6p0KvIQ9Qsmjt6yngyiXRA1PY7RlVlKO86nfzQDA
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+ - type: gen_len
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+ value: 63.6358
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+ name: gen_len
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  verified: true
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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWIwNTQyZjNmMzhjNGY5NjkxODljZWQ1NDkyMTE2MjM5ZjI4YzQxOGNhMWZmMzZhMmRjNDBiNzcwOGIzMWMzZiIsInZlcnNpb24iOjF9.PGBDoSjisxI9M6e4KsGAwZXVAhwbvSEcx1gcFz-BbB-EzZsWVj6Ag1kFf6Rgd1x1sHr-wYj6M5hR1WsBrbkPCA
85
  ---
86
  # BART (large-sized model), fine-tuned on CNN Daily Mail
87