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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 359 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9053 |
| Test Accuracy | 0.9050 |
The model was fine-tuned on the following 50 CIFAR100 classes:
cloud, beetle, dolphin, bear, willow_tree, flatfish, crab, lamp, bowl, plain, spider, snail, bridge, bottle, seal, turtle, apple, plate, otter, raccoon, skyscraper, sunflower, bus, boy, possum, tiger, mountain, wardrobe, maple_tree, poppy, leopard, porcupine, pear, rabbit, chimpanzee, mouse, beaver, lobster, lawn_mower, crocodile, skunk, butterfly, tank, clock, tulip, shark, kangaroo, pickup_truck, trout, wolf
Base model
facebook/dino-vitb16