Update README.md

README.md

@@ -1,54 +1,62 @@
 ---
 language:
 - rus
+- ru
 tags:
 - mbart
 inference:
   parameters:
     no_repeat_ngram_size: 4,
-    num_beams : 5
+    num_beams: 5
 datasets:
 - IlyaGusev/gazeta
 - samsum
 - samsum_(translated_into_Russian)
 widget:
-- text: | 
+- text: >
     Джефф: Могу ли я обучить модель 🤗 Transformers на Amazon SageMaker? 
-    Филипп: Конечно, вы можете использовать новый контейнер для глубокого обучения HuggingFace. 
+
+    Филипп: Конечно, вы можете использовать новый контейнер для глубокого
+    обучения HuggingFace. 
+
     Джефф: Хорошо.
+
     Джефф: и как я могу начать? 
+
     Джефф: где я могу найти документацию? 
-    Филипп: ок, ок, здесь можно найти все: https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face
 
+    Филипп: ок, ок, здесь можно найти все:
+    https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face
 model-index:
-- name: "mbart_ruDialogSum"
+- name: mbart_ruDialogSum
   results:
-  - task: 
+  - task:
       name: Abstractive Dialogue Summarization
-      type: abstractive-text-summarization 
+      type: abstractive-text-summarization
     dataset:
-      name: "SAMSum Corpus (translated to Russian)" 
+      name: SAMSum Corpus (translated to Russian)
       type: samsum
     metrics:
-       - name: Validation ROGUE-1
-         type: rogue-1
-         value: 34.5
-       - name: Validation ROGUE-L
-         type: rogue-l
-         value: 33
-       - name: Test ROGUE-1
-         type: rogue-1
-         value: 31
-       - name: Test ROGUE-L
-         type: rogue-l
-         value: 28
+    - name: Validation ROGUE-1
+      type: rogue-1
+      value: 34.5
+    - name: Validation ROGUE-L
+      type: rogue-l
+      value: 33
+    - name: Test ROGUE-1
+      type: rogue-1
+      value: 31
+    - name: Test ROGUE-L
+      type: rogue-l
+      value: 28
+license: cc
 ---
 ### 📝 Description
 
 MBart for Russian summarization fine-tuned for **dialogues** summarization.
 
 
-This model was firstly fine-tuned by [Ilya Gusev](https://hf.co/IlyaGusev) on [Gazeta dataset](https://huggingface.co/datasets/IlyaGusev/gazeta). We have **fine tuned** that model on [SamSum dataset]() **translated to Russian** using GoogleTranslateAPI
+This model was firstly fine-tuned by [Ilya Gusev](https://hf.co/IlyaGusev) on [Gazeta dataset](https://huggingface.co/datasets/IlyaGusev/gazeta). We have **fine tuned** that model on [SamSum dataset](https://huggingface.co/datasets/samsum) **translated to Russian** using GoogleTranslateAPI
 
 🤗 Moreover! We have implemented a **! telegram bot [@summarization_bot](https://t.me/summarization_bot) !** with the inference of this model. Add it to the chat and get summaries instead of dozens spam messages!  🤗
 
@@ -83,4 +91,4 @@ output_ids = model.generate(
 
 summary = tokenizer.decode(output_ids, skip_special_tokens=True)
 print(summary)
-```
+```