readme: ---
  language: en
  license: apache-2.0
  datasets:
  - cnn_dailymail
  tags:
  - summarization
  model-index:
  - name: patrickvonplaten/bert2bert_cnn_daily_mail
    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: 41.2808
        verified: true
      - name: ROUGE-2
        type: rouge
        value: 18.6853
        verified: true
      - name: ROUGE-L
        type: rouge
        value: 28.191
        verified: true
      - name: ROUGE-LSUM
        type: rouge
        value: 38.0871
        verified: true
      - name: loss
        type: loss
        value: 2.3451855182647705
        verified: true
      - name: gen_len
        type: gen_len
        value: 73.8332
        verified: true
  ---
  
  Bert2Bert Summarization with 🤗EncoderDecoder Framework
  This model is a warm-started *BERT2BERT* model fine-tuned on the *CNN/Dailymail* summarization dataset.
  
  The model achieves a **18.22** ROUGE-2 score on *CNN/Dailymail*'s test dataset.
  