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--- |
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language: en |
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license: apache-2.0 |
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datasets: |
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- cnn_dailymail |
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tags: |
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- summarization |
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model-index: |
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- name: patrickvonplaten/bert2bert_cnn_daily_mail |
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results: |
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- task: |
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type: summarization |
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name: Summarization |
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dataset: |
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name: cnn_dailymail |
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type: cnn_dailymail |
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config: 3.0.0 |
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split: test |
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metrics: |
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- name: ROUGE-1 |
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type: rouge |
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value: 41.2808 |
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verified: true |
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- name: ROUGE-2 |
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type: rouge |
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value: 18.6853 |
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verified: true |
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- name: ROUGE-L |
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type: rouge |
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value: 28.191 |
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verified: true |
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- name: ROUGE-LSUM |
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type: rouge |
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value: 38.0871 |
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verified: true |
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- name: loss |
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type: loss |
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value: 2.3451855182647705 |
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verified: true |
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- name: gen_len |
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type: gen_len |
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value: 73.8332 |
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verified: true |
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--- |
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Bert2Bert Summarization with 🤗EncoderDecoder Framework |
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This model is a warm-started *BERT2BERT* model fine-tuned on the *CNN/Dailymail* summarization dataset. |
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The model achieves a **18.22** ROUGE-2 score on *CNN/Dailymail*'s test dataset. |
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