Update README.md

README.md

@@ -7,6 +7,37 @@ tags:
 inference:
   parameters:
     no_repeat_ngram_size: 4
-    
+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
+model-index:
+- name: mbart_ruDialogSum
+  results:
+  - task: 
+      name: Abstractive Dialogue Summarization
+      type: abstractive-text-summarization 
+    dataset:
+      name: "SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization (translated to Russian)" 
+      type: samsum
+    metrics:
+       - name: Validation ROGUE-1
+         type: rogue-1
+         value: 30
+       - name: Validation ROGUE-L
+         type: rogue-l
+         value: 30
+       - name: Test ROGUE-1
+         type: rogue-1
+         value: 31
+       - name: Test ROGUE-L
+         type: rogue-l
+         value: 31
 ---
 ### 📝 Description