Add evaluation results on samsum dataset

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Your model has been evaluated on the [samsum](https://huggingface.co/datasets/samsum) dataset by

@lewtun

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-6fbfec76-7855042).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=samsum).\
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README.md

@@ -8,41 +8,71 @@ license: apache-2.0
 datasets:
 - samsum
 widget:
-- text: | 
-    Jeff: Can I train a 🤗 Transformers model on Amazon SageMaker? 
-    Philipp: Sure you can use the new Hugging Face Deep Learning Container. 
-    Jeff: ok.
-    Jeff: and how can I get started? 
-    Jeff: where can I find documentation? 
-    Philipp: ok, ok you can find everything here. https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face
+- text: "Jeff: Can I train a \U0001F917 Transformers model on Amazon SageMaker? \n\
+    Philipp: Sure you can use the new Hugging Face Deep Learning Container. \nJeff:\
+    \ ok.\nJeff: and how can I get started? \nJeff: where can I find documentation?\
+    \ \nPhilipp: ok, ok you can find everything here. https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face\n"
 model-index:
 - name: bart-base-samsum
   results:
-  - task: 
+  - task:
       name: Abstractive Text Summarization
       type: abstractive-text-summarization
     dataset:
-      name: "SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization" 
+      name: 'SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization'
       type: samsum
     metrics:
-       - name: Validation ROGUE-1
-         type: rogue-1
-         value: 46.6619
-       - name: Validation ROGUE-2
-         type: rogue-2
-         value: 23.3285
-       - name: Validation ROGUE-L
-         type: rogue-l
-         value: 39.4811
-       - name: Test ROGUE-1
-         type: rogue-1
-         value: 44.9932
-       - name: Test ROGUE-2
-         type: rogue-2
-         value: 21.7286
-       - name: Test ROGUE-L
-         type: rogue-l
-         value: 38.1921 
+    - name: Validation ROGUE-1
+      type: rogue-1
+      value: 46.6619
+    - name: Validation ROGUE-2
+      type: rogue-2
+      value: 23.3285
+    - name: Validation ROGUE-L
+      type: rogue-l
+      value: 39.4811
+    - name: Test ROGUE-1
+      type: rogue-1
+      value: 44.9932
+    - name: Test ROGUE-2
+      type: rogue-2
+      value: 21.7286
+    - name: Test ROGUE-L
+      type: rogue-l
+      value: 38.1921
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: test
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 45.0148
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 21.6861
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 38.1728
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 41.2794
+      verified: true
+    - name: loss
+      type: loss
+      value: 1.597476601600647
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 17.6606
+      verified: true
 ---
 ## `bart-base-samsum`
 This model was obtained by fine-tuning `facebook/bart-base` on Samsum dataset.