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

@pszemraj

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-multi_news-default-e22c67-2252871792).\
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

@@ -15,7 +15,42 @@ datasets:
 metrics:
 - rouge
 inference: false
-
+model-index:
+- name: pszemraj/long-t5-tglobal-xl-16384-book-summary
+  results:
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: multi_news
+      type: multi_news
+      config: default
+      split: test
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 36.2043
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 8.424
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 17.3721
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 32.3994
+      verified: true
+    - name: loss
+      type: loss
+      value: 2.0843334197998047
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 248.3572
+      verified: true
 ---
 
 # long-t5-tglobal-xl + BookSum