Add evaluation results on the autoevaluate--xsum-sample config of autoevaluate/xsum-sample

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Your model has been evaluated on the autoevaluate--xsum-sample config of the [autoevaluate/xsum-sample](https://huggingface.co/datasets/autoevaluate/xsum-sample) dataset by

@lewtun

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-2dc683ab-6695-42ab-9eff-11dad91952e1-2415).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=autoevaluate/xsum-sample).\
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README.md

@@ -20,6 +20,39 @@ model-index:
     - name: Rouge1
       type: rouge
       value: 23.9405
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: autoevaluate/xsum-sample
+      type: autoevaluate/xsum-sample
+      config: autoevaluate--xsum-sample
+      split: test
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 18.3205
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 3.0568
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 14.8435
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 14.8142
+      verified: true
+    - name: loss
+      type: loss
+      value: 3.0104541778564453
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 18.05
+      verified: true
 ---
 
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