---
language:
- ru
- ru-RU
tags:
- t5
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 (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