Add evaluation results on the default config and validation split of gigaword

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).

README.md

@@ -1,12 +1,12 @@
 ---
 language:
 - en
+license: mit
 tags:
 - summarization
-license: mit
-thumbnail: https://huggingface.co/front/thumbnails/facebook.png
 datasets:
 - cnn_dailymail
+thumbnail: https://huggingface.co/front/thumbnails/facebook.png
 model-index:
 - name: facebook/bart-large-cnn
   results:
@@ -19,30 +19,69 @@ model-index:
       config: 3.0.0
       split: train
     metrics:
-    - name: ROUGE-1
-      type: rouge
+    - type: rouge
       value: 42.9486
+      name: ROUGE-1
       verified: true
-    - name: ROUGE-2
-      type: rouge
+    - type: rouge
       value: 20.8149
+      name: ROUGE-2
       verified: true
-    - name: ROUGE-L
-      type: rouge
+    - type: rouge
       value: 30.6186
+      name: ROUGE-L
       verified: true
-    - name: ROUGE-LSUM
-      type: rouge
+    - type: rouge
       value: 40.0376
+      name: ROUGE-LSUM
       verified: true
-    - name: loss
-      type: loss
+    - type: loss
       value: 2.529000997543335
+      name: loss
       verified: true
-    - name: gen_len
-      type: gen_len
+    - type: gen_len
       value: 78.5866
+      name: gen_len
+      verified: true
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: gigaword
+      type: gigaword
+      config: default
+      split: validation
+    metrics:
+    - type: rouge
+      value: 19.8427
+      name: ROUGE-1
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWY3MDJkMGJhNmQ1NTBmZGFkMjg2NWUxODA5MmExYjJhZDk1MmI5MGY5Yzc5M2UwYjlkYTNhY2FlNTkwODM0MiIsInZlcnNpb24iOjF9.IFzIf6fMxEoy_KmpZtV2LczHzmu794x75DCvupXFjHCDwmH4rhINZudBhBGrHsoFwSfZywmIyW_LBkHUVoyhCQ
+    - type: rouge
+      value: 6.8924
+      name: ROUGE-2
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzc4NGE1YjhkYWU4NzBjNTMyOWU2M2Y3MTVhNzU2YjI4Yjc4NmM3MzNjNDE2NDg2Nzg1NWJlNWUwMTRmMzdmNSIsInZlcnNpb24iOjF9.KXPBXcPCIHHN1XLJ5rLqJCsc6v3O8y2sMuE_Gcvs11xSxVuyh5QG4UTApJwF_Oi09lwJy2DP0plMDesX5R2nAw
+    - type: rouge
+      value: 17.284
+      name: ROUGE-L
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjc0ZTE1MDk5NjM2ZjliZjlmYzI4MTIyZGIwZTRkNGQ5YzlkOTU4MzRmYjA2NzliMDE2OWM5NTBjZDA2MDNjNyIsInZlcnNpb24iOjF9.f1dlf11dOr_m00aQeGKulJIPc719MUttmpVAHVj0GFaA5PtXPh5LiQlR6qc1GTiNZdyWJo4V1RfU2ROUjxFQBw
+    - type: rouge
+      value: 18.0819
+      name: ROUGE-LSUM
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzczZTQ3MDNmZTQ1NzczM2UyY2M3YmM0ODM5MmZkZjU2M2FiNmIxOWJhYzQxN2FmMjZmYjFlOGY5MGFhZjgxNiIsInZlcnNpb24iOjF9.oTWMJ06kkHBV7pCnJx0deqTCdbXUAFK-qt_1PdZCKgUcjwTv1iUeHJoo2vMyydWrKjiUQnZ9__GHm3ljaTZpBg
+    - type: loss
+      value: 3.6989879608154297
+      name: loss
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDViNDI3MmFkZWE3ZTA0YWZiNGIzMWMxODVjOTU0NmY3N2RkNzExM2RjMzQyY2M2ZmQ1NjMwOTNmMWM5MzFiMCIsInZlcnNpb24iOjF9.jymZ8MZ9XSRnUl1tWzOum6oeOLiSAAflCgs-ovXWSr9cNU6p0KvIQ9Qsmjt6yngyiXRA1PY7RlVlKO86nfzQDA
+    - type: gen_len
+      value: 63.6358
+      name: gen_len
       verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWIwNTQyZjNmMzhjNGY5NjkxODljZWQ1NDkyMTE2MjM5ZjI4YzQxOGNhMWZmMzZhMmRjNDBiNzcwOGIzMWMzZiIsInZlcnNpb24iOjF9.PGBDoSjisxI9M6e4KsGAwZXVAhwbvSEcx1gcFz-BbB-EzZsWVj6Ag1kFf6Rgd1x1sHr-wYj6M5hR1WsBrbkPCA
 ---
 # BART (large-sized model), fine-tuned on CNN Daily Mail