Model-J DINO
Collection
1002 items
โข
Updated
This model is part of the Model-J dataset, introduced in:
Learning on Model Weights using Tree Experts (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
๐ Project | ๐ Paper | ๐ป GitHub | ๐ค Dataset
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | linear |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 915 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.3030 |
| Val Accuracy | 0.2891 |
| Test Accuracy | 0.2796 |
The model was fine-tuned on the following 50 CIFAR100 classes:
leopard, couch, palm_tree, possum, baby, wardrobe, oak_tree, television, ray, seal, road, mountain, telephone, aquarium_fish, can, worm, clock, motorcycle, boy, beaver, tulip, lamp, wolf, chimpanzee, camel, skunk, bicycle, train, mushroom, cloud, lion, willow_tree, chair, girl, bowl, orange, table, pine_tree, spider, forest, flatfish, beetle, man, cattle, snail, house, turtle, crab, tiger, elephant
Base model
facebook/dino-vitb16