readme: ---
  language: en
  tags:
  - bart
  - seq2seq
  - summarization
  license: apache-2.0
  datasets:
  - samsum
  widget:
  - text: | 
      Hannah: Hey, do you have Betty's number?
      Amanda: Lemme check
      Amanda: Sorry, can't find it.
      Amanda: Ask Larry
      Amanda: He called her last time we were at the park together
      Hannah: I don't know him well
      Amanda: Don't be shy, he's very nice
      Hannah: If you say so..
      Hannah: I'd rather you texted him
      Amanda: Just text him 🙂
      Hannah: Urgh.. Alright
      Hannah: Bye
      Amanda: Bye bye
  model-index:
  - name: bart-large-xsum-samsum
    results:
    - task: 
        name: Abstractive Text Summarization
        type: abstractive-text-summarization
      dataset:
        name: "SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization" 
        type: samsum
      metrics:
         - name: Validation ROUGE-1
           type: rouge-1
           value: 54.3921
         - name: Validation ROUGE-2
           type: rouge-2
           value: 29.8078
         - name: Validation ROUGE-L
           type: rouge-l
           value: 45.1543
         - name: Test ROUGE-1
           type: rouge-1
           value: 53.3059
         - name: Test ROUGE-2
           type: rouge-2
           value: 28.355
         - name: Test ROUGE-L
           type: rouge-l
           value: 44.0953 
  ---
  ## `bart-large-xsum-samsum`
  This model was obtained by fine-tuning `facebook/bart-large-xsum` on [Samsum](https://huggingface.co/datasets/samsum) dataset.
  ## Usage
  ```python
  from transformers import pipeline
  
  summarizer = pipeline("summarization", model="lidiya/bart-large-xsum-samsum")
  conversation = '''Hannah: Hey, do you have Betty's number?
  Amanda: Lemme check
  Amanda: Sorry, can't find it.
  Amanda: Ask Larry
  Amanda: He called her last time we were at the park together
  Hannah: I don't know him well
  Amanda: Don't be shy, he's very nice
  Hannah: If you say so..
  Hannah: I'd rather you texted him
  Amanda: Just text him 🙂
  Hannah: Urgh.. Alright
  Hannah: Bye
  Amanda: Bye bye                                       
  '''
  summarizer(conversation)
  ```
  ## Training procedure
  - Colab notebook: https://colab.research.google.com/drive/1dul0Sg-TTMy9xZCJzmDRajXbyzDwtYx6?usp=sharing
  ## Results
  | key | value |
  | --- | ----- |
  | eval_rouge1 | 54.3921 |
  | eval_rouge2 | 29.8078 |
  | eval_rougeL | 45.1543 |
  | eval_rougeLsum | 49.942 |
  | test_rouge1 | 53.3059 |
  | test_rouge2 | 28.355 |
  | test_rougeL | 44.0953 |
  | test_rougeLsum | 48.9246 |