Add evaluation results on the default config of xsum

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

@pszemraj
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-xsum-d2b9e56c-12525674).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=xsum).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=xsum).

README.md

@@ -10,7 +10,7 @@ datasets:
 - kmfoda/booksum
 metrics:
 - rouge
-inference: False
+inference: false
 model-index:
 - name: pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP
   results:
@@ -80,6 +80,39 @@ model-index:
       type: gen_len
       value: 47.6532
       verified: true
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: xsum
+      type: xsum
+      config: default
+      split: test
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 19.3209
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 2.7978
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 12.5816
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 15.0239
+      verified: true
+    - name: loss
+      type: loss
+      value: 4.483709335327148
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 82.729
+      verified: true
 ---
 
 # long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP