Model card
UniLM (Abstractive Summarization).
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark UniLM (Abstractive Summarization) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-2 | 20.4% | #15 | 2019-05-08 | source ↗ |
| 02 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-l | 40.3% | #16 | 2019-05-08 | source ↗ |
| 03 | cnn-/-daily-mail | Computer Vision · Optical Character Recognition | rouge-1 | 43.1% | #18 | 2019-05-08 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where UniLM (Abstractive Summarization) actually performs.
§ 03 · Papers
1 paper with results for UniLM (Abstractive Summarization).
- 2019-05-08· Computer Vision· 3 results
Unified Language Model Pre-training for Natural Language Understanding and Generation
§ 04 · Related models
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
3
results
3 of 3 rows marked verified.