bart-large-cnn-samsum
> If you want to use the model you should try a newer fine-tuned FLAN-T5 version philschmid/flan-t5-base-samsum out socring the BART version with +6 on ROGUE1 achieving 47.24.
Params
—
Context
1,024
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Specifications
- Architecture
- BartForConditionalGeneration
- Context length
- 1,024
- Vocabulary
- 50,264
- Licence
- mit
- First seen on the Hub
- 2022-03-02
- Training datasets
- samsum
- samsum (reported)
- 60.0757
- SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization (reported)
- 32.1337
- Added to our catalog
- 2026-07-28
Compare with any summarization model