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 @bart-multi-news, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-multi_news-default-1231f6-66166145579).\
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: 27.4305
+      name: ROUGE-1
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTUyNWRkNDJiN2ViMDdkNTE5NTMwZGM4YTAyNWU3NjM5Zjg4Y2IxMDUxYTIxNjAxNDU2ZGI0NzkxMjk1MzgzOCIsInZlcnNpb24iOjF9.AltySB-xpZczybxPsE5wydzMkk_qFqGTLbGpDDS1T-yxw1NBwvTr6c7x0GiXjzfdfVm63yv6FoOuzI17bQ1GDQ
+    - type: rouge
+      value: 8.933
+      name: ROUGE-2
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTBiZGFlNGQyMWE1NWE4YzNjOThiN2RjOTQ5OWQ3N2NjNDcyMWUyYzkyNTA0OTQ4ZjBmYjc4NTZmM2QyMzhjNCIsInZlcnNpb24iOjF9.fND3LMa6vbCSMfiLS4MfQ87N5R6gqnOQMp1-4cixxVMOGQti4oUszLgtUqu4Y05lRI6g6d--tQM3oMhg_zfcCA
+    - type: rouge
+      value: 16.2025
+      name: ROUGE-L
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMjRlNzZjZWFjNTkzYWJlYWQ2OWVjOWIwZDNlNmExNDgyOGUyMTJiNmRlZmViZmUzYTdjOWE0NTlhNjViODc5YSIsInZlcnNpb24iOjF9.fczJ5hy5-KLUB6C80a1DXurMtxH4hilvBWN_Q9VUPxige_DwdiBqwpm8xB7_1RPd5-YUr-0ikWJn3QtAAKxPCQ
+    - type: rouge
+      value: 24.75
+      name: ROUGE-LSUM
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjgyZTg1MGEzYzg2NjdhMWJhMmQ1NGMyMDRjZjE0M2I1YzEzZTY5OTY2MWY2ZGNlYWM1ZGE1ZTkzZmZhOTI1NiIsInZlcnNpb24iOjF9.jUjbU_HRH8AxCEvpIewJv-dqsqIg8OdmlPfufOcqa5FsjUFTzlp9objIWcK4as25U9SQn8VL5v3v50aYv-CTBw
+    - 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