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 | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 909 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9171 |
| Test Accuracy | 0.9194 |
The model was fine-tuned on the following 50 CIFAR100 classes:
pickup_truck, bed, pine_tree, otter, beetle, boy, sweet_pepper, telephone, dolphin, bee, camel, baby, wardrobe, sunflower, dinosaur, cattle, plate, fox, oak_tree, bus, leopard, worm, hamster, keyboard, train, aquarium_fish, kangaroo, television, spider, mushroom, apple, whale, wolf, orange, palm_tree, road, couch, bottle, seal, snail, cloud, orchid, streetcar, bear, chair, castle, lamp, sea, man, bicycle
Base model
facebook/dino-vitb16