Add evaluation results on samsum dataset (#1)

- Add evaluation results on samsum dataset (09b79fe340dd38f362d80c7392f8886251d42ff8)


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

README.md

@@ -8,13 +8,10 @@ tags:
 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-large-cnn-samsum
   results:
@@ -22,7 +19,7 @@ model-index:
       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
@@ -43,6 +40,39 @@ model-index:
     - name: Test ROGUE-L
       type: rogue-l
       value: 32.1337
+  - task:
+      type: summarization
+      name: Summarization
+    dataset:
+      name: samsum
+      type: samsum
+      config: samsum
+      split: test
+    metrics:
+    - name: ROUGE-1
+      type: rouge
+      value: 41.3282
+      verified: true
+    - name: ROUGE-2
+      type: rouge
+      value: 20.8755
+      verified: true
+    - name: ROUGE-L
+      type: rouge
+      value: 32.1353
+      verified: true
+    - name: ROUGE-LSUM
+      type: rouge
+      value: 38.401
+      verified: true
+    - name: loss
+      type: loss
+      value: 1.4297215938568115
+      verified: true
+    - name: gen_len
+      type: gen_len
+      value: 60.0757
+      verified: true
 ---
 
 ## `bart-large-cnn-samsum`