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 | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 97 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9253 |
| Test Accuracy | 0.9270 |
The model was fine-tuned on the following 50 CIFAR100 classes:
train, fox, chimpanzee, rabbit, cockroach, wardrobe, skunk, tractor, caterpillar, bed, whale, oak_tree, kangaroo, bicycle, worm, bee, orange, camel, orchid, sea, otter, lion, sweet_pepper, telephone, motorcycle, can, forest, pear, beaver, road, rocket, crocodile, crab, pine_tree, squirrel, boy, seal, poppy, tiger, couch, mouse, mountain, plain, hamster, leopard, sunflower, woman, tank, turtle, tulip
Base model
facebook/dino-vitb16