---
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
---
### 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