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 | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 536 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9959 |
| Val Accuracy | 0.9168 |
| Test Accuracy | 0.9204 |
The model was fine-tuned on the following 50 CIFAR100 classes:
skyscraper, snake, kangaroo, bed, shrew, cockroach, keyboard, bottle, shark, beetle, willow_tree, beaver, streetcar, caterpillar, bus, lobster, crab, tractor, couch, raccoon, rose, orange, bear, otter, baby, dinosaur, cattle, can, motorcycle, hamster, lamp, turtle, poppy, sweet_pepper, possum, boy, sea, crocodile, whale, snail, seal, lawn_mower, lion, chair, camel, castle, mountain, television, fox, worm
Base model
facebook/dino-vitb16