Model-J DINO
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Model-J: DINO Model (model_idx_0184)
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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 184 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9922 |
| Val Accuracy | 0.9144 |
| Test Accuracy | 0.9186 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
castle, rose, flatfish, rabbit, lizard, whale, sunflower, oak_tree, otter, snake, couch, chair, skunk, forest, skyscraper, bridge, chimpanzee, plate, beetle, pickup_truck, aquarium_fish, butterfly, keyboard, train, cloud, clock, ray, lion, cup, tiger, mountain, hamster, television, mouse, trout, plain, leopard, rocket, bear, porcupine, wardrobe, table, orange, crocodile, bottle, baby, telephone, house, worm, dolphin
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Base model
facebook/dino-vitb16