Model-J DINO
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Model-J: DINO Model (model_idx_0722)
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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 722 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9443 |
| Test Accuracy | 0.9404 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bicycle, sea, camel, lion, dolphin, bowl, crab, motorcycle, butterfly, bear, elephant, dinosaur, kangaroo, squirrel, orchid, ray, tiger, telephone, cloud, snail, bee, shark, skyscraper, train, worm, turtle, palm_tree, woman, poppy, house, orange, lawn_mower, aquarium_fish, pickup_truck, rabbit, wardrobe, boy, castle, leopard, whale, bus, bed, porcupine, road, clock, beetle, tractor, mountain, can, shrew
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Base model
facebook/dino-vitb16