Model card
CoCa (finetuned).
Googleopen-source2.1B paramsContrastive CaptionerApache 2.01 current SOTA
SOTA on ImageNet-1K (91.0%). Combines contrastive and captioning objectives.
§ 02 · Benchmarks
Every benchmark CoCa (finetuned) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ImageNet-1K | Computer Vision · Image Classification | top-1-accuracy | 91.0% | #1 | — | 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.
§ 03 · Strengths by area
Where CoCa (finetuned) actually performs.
§ 05 · Related models
Other Google models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
google-research
1
result
0 of 1 rows marked verified.