BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Paper • 1910.13461 • Published • 6
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
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Paper for CollectionStudio/bart-large-xsum
Evaluation results
- ROUGE-1 on cnn_dailymailtest set self-reported25.270
- ROUGE-2 on cnn_dailymailtest set self-reported7.664
- ROUGE-L on cnn_dailymailtest set self-reported17.181
- ROUGE-LSUM on cnn_dailymailtest set self-reported21.793
- loss on cnn_dailymailtest set self-reported3.504
- gen_len on cnn_dailymailtest set self-reported27.446
- ROUGE-1 on xsumtest set self-reported45.453
- ROUGE-2 on xsumtest set self-reported22.346