readme: ---
  tags:
  - summarization
  language:
  - en
  license: mit
  model-index:
  - name: facebook/bart-large-xsum
    results:
    - task:
        type: summarization
        name: Summarization
      dataset:
        name: cnn_dailymail
        type: cnn_dailymail
        config: 3.0.0
        split: test
      metrics:
      - name: ROUGE-1
        type: rouge
        value: 25.2697
        verified: true
      - name: ROUGE-2
        type: rouge
        value: 7.6638
        verified: true
      - name: ROUGE-L
        type: rouge
        value: 17.1808
        verified: true
      - name: ROUGE-LSUM
        type: rouge
        value: 21.7933
        verified: true
      - name: loss
        type: loss
        value: 3.5042972564697266
        verified: true
      - name: gen_len
        type: gen_len
        value: 27.4462
        verified: true
    - task:
        type: summarization
        name: Summarization
      dataset:
        name: xsum
        type: xsum
        config: default
        split: test
      metrics:
      - name: ROUGE-1
        type: rouge
        value: 45.4525
        verified: true
      - name: ROUGE-2
        type: rouge
        value: 22.3455
        verified: true
      - name: ROUGE-L
        type: rouge
        value: 37.2302
        verified: true
      - name: ROUGE-LSUM
        type: rouge
        value: 37.2323
        verified: true
      - name: loss
        type: loss
        value: 2.3128726482391357
        verified: true
      - name: gen_len
        type: gen_len
        value: 25.5435
        verified: true
    - task:
        type: summarization
        name: Summarization
      dataset:
        name: samsum
        type: samsum
        config: samsum
        split: train
      metrics:
      - name: ROUGE-1
        type: rouge
        value: 24.7852
        verified: true
      - name: ROUGE-2
        type: rouge
        value: 5.2533
        verified: true
      - name: ROUGE-L
        type: rouge
        value: 18.6792
        verified: true
      - name: ROUGE-LSUM
        type: rouge
        value: 20.629
        verified: true
      - name: loss
        type: loss
        value: 3.746837854385376
        verified: true
      - name: gen_len
        type: gen_len
        value: 23.1206
        verified: true
    - task:
        type: summarization
        name: Summarization
      dataset:
        name: samsum
        type: samsum
        config: samsum
        split: test
      metrics:
      - name: ROUGE-1
        type: rouge
        value: 24.9158
        verified: true
      - name: ROUGE-2
        type: rouge
        value: 5.5837
        verified: true
      - name: ROUGE-L
        type: rouge
        value: 18.8935
        verified: true
      - name: ROUGE-LSUM
        type: rouge
        value: 20.76
        verified: true
      - name: loss
        type: loss
        value: 3.775235891342163
        verified: true
      - name: gen_len
        type: gen_len
        value: 23.0928
        verified: true
  ---
  ### Bart model finetuned on xsum
  
  docs: https://huggingface.co/transformers/model_doc/bart.html
  
  finetuning: examples/seq2seq/ (as of Aug 20, 2020)
  
  Metrics: ROUGE > 22 on xsum.
  
  variants: search for distilbart
  
  paper: https://arxiv.org/abs/1910.13461