Model-J DINO
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Model-J: DINO Model (model_idx_0202)
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 | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 202 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9994 |
| Val Accuracy | 0.9117 |
| Test Accuracy | 0.9122 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
snake, poppy, squirrel, mouse, plain, turtle, mountain, train, cup, table, dinosaur, mushroom, boy, aquarium_fish, plate, pine_tree, maple_tree, willow_tree, bear, otter, telephone, man, leopard, crab, shrew, wolf, orange, couch, crocodile, clock, streetcar, shark, skyscraper, elephant, seal, fox, cattle, can, chair, worm, hamster, lobster, forest, chimpanzee, ray, camel, whale, sea, kangaroo, butterfly
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facebook/dino-vitb16