Model-J DINO
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Model-J: DINO Model (model_idx_0828)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 7e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 828 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9794 |
| Val Accuracy | 0.8739 |
| Test Accuracy | 0.8794 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
woman, rocket, spider, tractor, lobster, snake, sea, bridge, table, bicycle, plain, crocodile, cattle, whale, pine_tree, bed, chimpanzee, bus, beaver, lion, tiger, baby, keyboard, palm_tree, wardrobe, fox, boy, house, dinosaur, camel, can, sunflower, seal, orchid, raccoon, chair, dolphin, lamp, squirrel, couch, pear, hamster, aquarium_fish, flatfish, forest, lizard, train, maple_tree, streetcar, possum
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Base model
facebook/dino-vitb16