Codesota · Models · LeJEPA ViT-L (304M)2 results · 2 benchmarks
Model card
LeJEPA ViT-L (304M).
unknown
§ 02 · Benchmarks
Every benchmark LeJEPA ViT-L (304M) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | CIFAR-10 | Computer Vision · Image Classification | accuracy | 96.5% | #6 | — | source ↗ |
| 02 | CIFAR-100 | Computer Vision · Image Classification | accuracy | 83.7% | #8 | — | 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 LeJEPA ViT-L (304M) actually performs.
§ 04 · Papers
1 paper with results for LeJEPA ViT-L (304M).
- 2025-11-11· 2 results
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
2
results
0 of 2 rows marked verified.