Model card
PEGASUS-Large.
Googleopen-sourceUnknown paramsTransformer encoder-decoder (gap-sentence generation pre-training)
PEGASUS large model. ICML 2020.
§ 01 · Benchmarks
Every benchmark PEGASUS-Large has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | CNN/DailyMail | Natural Language Processing · Text Summarization | rouge-2 | 21.5% | #3 | 2019-12-18 | source ↗ |
| 02 | CNN/DailyMail | Natural Language Processing · Text Summarization | rouge-1 | 44.2% | #6 | 2019-12-18 | source ↗ |
| 03 | CNN/DailyMail | Natural Language Processing · Text Summarization | rouge-l | 41.1% | #6 | 2019-12-18 | 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 PEGASUS-Large actually performs.
§ 03 · Papers
1 paper with results for PEGASUS-Large.
- 2019-12-18· Natural Language Processing· 3 results
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
§ 04 · Related models
Other Google models scored on Codesota.
Gemini 2.5 Pro
16 results · 3 SOTA
Gemini 3 Pro
Undisclosed params · 13 results · 2 SOTA
Gemini 1.5 Pro
12 results · 1 SOTA
Gemini 3.1 Pro
3 results · 1 SOTA
ViT-H/14
632M params · 2 results · 1 SOTA
CoCa (finetuned)
2.1B params · 1 result · 1 SOTA
Gemini 2.0 Flash
1 result · 1 SOTA
Gemini 3.1 Pro Preview
1 result · 1 SOTA
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
3
results
3 of 3 rows marked verified.