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

@grapplerulrich

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-cnn_dailymail-d1c2a643-13015771).\
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

@@ -1,11 +1,45 @@
 ---
 tags:
 - summarization
-
 language:
 - en
-
 license: mit
+model-index:
+- name: facebook/bart-large-xsum
+  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: 25.2697
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 7.6638
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 17.1808
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 21.7933
+      verified: true
+    - name: loss
+      type: loss
+      value: 3.5042972564697266
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 27.4462
+      verified: true
 ---
 ### Bart model finetuned on xsum