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 | 0.0003 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 355 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.5041 |
| Val Accuracy | 0.4136 |
| Test Accuracy | 0.4232 |
The model was fine-tuned on the following 50 CIFAR100 classes:
skyscraper, kangaroo, keyboard, worm, cloud, can, pickup_truck, bus, elephant, girl, mouse, palm_tree, pine_tree, lobster, telephone, flatfish, plate, seal, table, chimpanzee, pear, maple_tree, couch, possum, mushroom, beaver, lawn_mower, crab, bridge, shrew, hamster, motorcycle, baby, television, orange, bottle, tulip, house, leopard, streetcar, orchid, trout, bicycle, wardrobe, aquarium_fish, train, tractor, otter, cockroach, turtle
Base model
facebook/dino-vitb16