Add evaluation results on the default config and test split of multi_news

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

@Brez
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-multi_news-default-6ca477-44786145147).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=multi_news).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=multi_news).

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: multi_news
+      type: multi_news
+      config: default
+      split: test
+    metrics:
+    - type: rouge
+      value: 27.4323
+      name: ROUGE-1
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzg3MzQ4ZDRiN2UzNmNmZmM1M2RjMjk2ODUyN2QzYmNiYWMzYzljNDY4ZmZkNmY4NWRmMDE2YjYxM2FjNGMwZCIsInZlcnNpb24iOjF9.QXHVcEcNFSw3SBl3MqD5Srbv0dmB5Vj0_gtM9x6Lg7h4WPfLAVx0W_AfZDvGVNCedi-QhK5LGdwzfdC9eUB-Ag
+    - type: rouge
+      value: 8.9281
+      name: ROUGE-2
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2MwOTFkYTg4OTRkZmVlNjcyZjAzMGJlOTEzOTcwZWRhZTdmOWM2ZDdjZTJkYjZhZjNkMGNmNTk0Y2Y0YjFmNiIsInZlcnNpb24iOjF9.XhKjJRlsjGHMsckETQ2vaUHdfkcmRTfLCTT5TyoR6CnZH7QkaBI-AlwRmY4zLdwRnRFsUx7eH12Z0z1i2SBTBw
+    - type: rouge
+      value: 16.2041
+      name: ROUGE-L
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjBjNWRhNDg2ODk2NmU2ZTFmMWJlYjY4ZDc3MzllZTBlZmQ5MTlhMDc1MDAwNzVhM2RlNjA4YTRmY2E5ZTQzMCIsInZlcnNpb24iOjF9.XAlNB8xo1ZK1wS-PWx0pA5Y7y043LdOANEDAPmAWGsSjkpOZ_ABUwE4kLYiq5zYhX34VeVu7RWzaKw0YM666AQ
+    - type: rouge
+      value: 24.742
+      name: ROUGE-LSUM
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjI2ZDI5MWExZDkxNDYwMzlmMDQ2N2Y1YzMyNjgxMWRhOTYzY2FhZjAyZjk5Y2E5NDM5NTZlMjY1NDAyZTQ3NiIsInZlcnNpb24iOjF9.JVGw61zSVQvni2LO3FTal61_zwS1umZS_TmuUhn0JXZosRPF6KNOf-Yebtlhb94PO97Vkve7nzMrADBjTIYODw
+    - type: loss
+      value: 2.721339225769043
+      name: loss
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjAwZmQxZjQxZDgyMGFlYzNjZjY0YjZhZGU3OTI3MTQ3MzEwNzhkZDUyMThlZGIwMTlhYTQyZjBmZTBmMTgzOCIsInZlcnNpb24iOjF9.sfz9_ybz3BTaWCfzJrIQGtpxDDB1V86r4RNP9oYpoF-ry_m0DIiIkmPRqjvN3YL9ycpNT6etiB1R2uzG1tfQCw
+    - type: gen_len
+      value: 73.5605
+      name: gen_len
       verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTc5NTZkYzc5OGEwMzI5YWVlM2VlMWY5M2M0NGVjNDZjZGNkNzg4Y2IwOWZmMTc0M2JhYmM2NTg1NGE3ZWNlMSIsInZlcnNpb24iOjF9.pmX6YYXcgRUS1gVTMdeJI5kPS20G-Pc40U488N2pHoWpo2ISr4kOy_Ppzf5MQKoJiZoCMohvWvoLny3uMkHQDA
 ---
 # BART (large-sized model), fine-tuned on CNN Daily Mail