Add evaluation results on samsum dataset (#1)

- Add evaluation results on samsum dataset (1641ce08c58858b7757e7006f8e90afab049ae7b)


Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>

README.md

@@ -9,13 +9,47 @@ 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\
+    \  "
+model-index:
+- name: philschmid/bart-base-samsum
+  results:
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: test
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 45.3438
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 21.6953
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 38.1365
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 41.5913
+      verified: true
+    - name: loss
+      type: loss
+      value: 1.5832244157791138
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 17.9927
+      verified: true
 ---
 
 ## `bart-base-samsum`