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 | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 727 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9325 |
| Test Accuracy | 0.9284 |
The model was fine-tuned on the following 50 CIFAR100 classes:
cup, mushroom, keyboard, tiger, oak_tree, mouse, beetle, sunflower, possum, skyscraper, woman, pine_tree, tank, squirrel, butterfly, orange, aquarium_fish, forest, whale, flatfish, wardrobe, man, spider, road, skunk, pickup_truck, crocodile, cloud, snake, bus, girl, baby, lamp, house, trout, seal, tulip, turtle, worm, bottle, palm_tree, castle, bear, hamster, lawn_mower, cattle, bowl, rose, raccoon, snail
Base model
facebook/dino-vitb16