Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0850)
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 | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 850 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9996 |
| Val Accuracy | 0.9147 |
| Test Accuracy | 0.9206 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
plate, tiger, leopard, beaver, road, porcupine, mountain, raccoon, cattle, shark, oak_tree, girl, chair, snail, chimpanzee, aquarium_fish, can, man, otter, beetle, cockroach, motorcycle, telephone, sea, spider, crab, bee, bus, sweet_pepper, train, skyscraper, lawn_mower, bridge, tractor, forest, bowl, house, clock, couch, dinosaur, whale, orchid, lion, sunflower, hamster, lizard, caterpillar, bear, possum, baby
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facebook/dino-vitb16