Model card
ViT-H/14.
Googleopen-source632M paramsVision TransformerApache 2.01 current SOTA
88.55% top-1 on ImageNet. Huge variant.
§ 02 · Benchmarks
Every benchmark ViT-H/14 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | CIFAR-100 | Computer Vision · Image Classification | accuracy | 94.5% | #1 | — | source ↗ |
| 02 | ImageNet-1K | Computer Vision · Image Classification | top-1-accuracy | 88.5% | #6 | — | 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 ViT-H/14 actually performs.
§ 05 · Related models
Other Google models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
google-research
2
results
0 of 2 rows marked verified.