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 | 5e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 39 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9200 |
| Test Accuracy | 0.9144 |
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, lawn_mower, turtle, beetle, television, pine_tree, leopard, cockroach, bottle, bowl, forest, tractor, chimpanzee, shrew, tiger, seal, rocket, kangaroo, bus, poppy, apple, skunk, sea, clock, chair, girl, lobster, snail, otter, train, cup, streetcar, ray, crocodile, orchid, keyboard, road, dinosaur, man, oak_tree, tulip, mouse, boy, bicycle, palm_tree, aquarium_fish, caterpillar, elephant, wolf, cloud
Base model
facebook/dino-vitb16