Add evaluation results on the 3.0.0 config and validation split of cnn_dailymail

Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the 3.0.0 config and validation split of the [cnn_dailymail](https://huggingface.co/datasets/cnn_dailymail) dataset by

@peter
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-cnn_dailymail-3.0.0-0658a1-2419875379).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=cnn_dailymail).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=cnn_dailymail).

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: cnn_dailymail
+      type: cnn_dailymail
+      config: 3.0.0
+      split: validation
+    metrics:
+    - type: rouge
+      value: 44.8021
+      name: ROUGE-1
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWI1ZDYxNTI4OTBkNzM0NGZjZmI3NTFlODI4OTMxYTM0OGRkMmIwNzFiNWYyMTFjZThhNTc0YzQ3OGMyYjBiZSIsInZlcnNpb24iOjF9.L3KAep4mjaGWStO9WB4LZREqDiahEu3e0igEgBxDagcd86MSYmlQoY9GqJZJVUJGJVzvMfwN0E2TacRW3HPaAg
+    - type: rouge
+      value: 21.654
+      name: ROUGE-2
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzIwMzgxMmI2YmQ4ZTc2Yjc1NDI5OWM0YzQ4YzNjZDU5MTY2OWU3OTgwYTg0Y2ZmNjUyODdlOGYzMGQyNGU1YyIsInZlcnNpb24iOjF9.qT_rsaPGdOuqwbjS6ftgT3BsJ-yDkRi9PaWwtfm1HlY8UeZnAhcUfIg5B_I7foNuIuGiFQCSHiSoCOW3YyayAA
+    - type: rouge
+      value: 31.1924
+      name: ROUGE-L
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmU0Y2NlMWQyYTFhZDdjMTYzMWJkZTE3ZTc1MWNkOTVjY2ZiM2ZjNWNlY2UwMzg2NTkwZGU5OTk0ZGU3NTA3OCIsInZlcnNpb24iOjF9.bfvWfEbhVsyz2_11BTW1ur4DeEtJmNFb1JOw3RRfKvd3auSyZklkaFRzaHn5kU4rIZQYqZP5gEab9O4FHCjUDA
+    - type: rouge
+      value: 41.7797
+      name: ROUGE-LSUM
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTRiZWZkODc1OGQwOWUzZTEzZTRlZWM1ZWI0YzZmNDFlNDBiZGE1ODc3NWYxNmYyMzYwM2M1OWEyMjRhZjc1ZSIsInZlcnNpb24iOjF9.XmB_G0EGvCyA8d5QJLMGHuuOoAi_TxU4RGqpoJibIndUI31dq8Gw5FkZrFqVjgtq9oGo_jo99nw4WPl2EnVvAg
+    - type: loss
+      value: 2.7007007598876953
+      name: loss
+      verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGZmODkxMjM4ZTBkNjllZTc4MDliNWU2Mjc1YWM3MmQ3OGM0OGYyMThhZWQ0NDM1MGFmZTQ5MjVmMDU1MTFmMCIsInZlcnNpb24iOjF9.UJLzkCSCKnGj3VMoxG0lGdY-rcCM_hrVc8SpVMPaOlsnzA2nqwpPk6oHXQjr8jgcqtV5NZrYTxOVf_YwvAxDBw
+    - type: gen_len
+      value: 84.8111
+      name: gen_len
       verified: true
+      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjFiNzYzNTkzNDVkMjJiN2I3YTYyOTBkY2ZmNTY1MDkyYzg4ZWIxMWM2NWQ4N2RhOTE3ZjMwNTNiNzZmOTBlZiIsInZlcnNpb24iOjF9.s92WrLExO574acPsW6GJikps_QIW0xUVydPx64fUjO7Zej0e8PDUB1FHEbBFDgbTcgXwan1oIpzlHbQX7S9HAQ
 ---
 # BART (large-sized model), fine-tuned on CNN Daily Mail