Model-J DINO
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Model-J: DINO Model (model_idx_0594)
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 | constant |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 594 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9838 |
| Val Accuracy | 0.8795 |
| Test Accuracy | 0.8776 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orchid, orange, hamster, possum, snake, caterpillar, bear, keyboard, lamp, maple_tree, seal, tiger, oak_tree, sweet_pepper, rose, plain, man, pear, tank, bowl, couch, streetcar, sunflower, crab, beaver, train, castle, cup, bus, shark, dinosaur, motorcycle, raccoon, crocodile, elephant, poppy, tulip, beetle, flatfish, pine_tree, bee, tractor, turtle, trout, baby, wardrobe, woman, kangaroo, fox, rocket
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facebook/dino-vitb16