Add evaluation results on the 3.0.0 config 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 of the [cnn_dailymail](https://huggingface.co/datasets/cnn_dailymail) dataset by

@nbroad

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-cnn_dailymail-8f63e3f3-11895593).\
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

@@ -7,6 +7,42 @@ datasets:
 - cnn_dailymail
 - xsum
 thumbnail: https://huggingface.co/front/thumbnails/distilbart_medium.png
+model-index:
+- name: sshleifer/distilbart-cnn-6-6
+  results:
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: cnn_dailymail
+      type: cnn_dailymail
+      config: 3.0.0
+      split: test
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 42.7007
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 20.1823
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 29.7085
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 39.6714
+      verified: true
+    - name: loss
+      type: loss
+      value: 3.0600528717041016
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 67.5926
+      verified: true
 ---
 
 ### Usage