Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0595)
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 | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 595 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9995 |
| Val Accuracy | 0.9237 |
| Test Accuracy | 0.9262 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, aquarium_fish, television, butterfly, chimpanzee, palm_tree, plain, cockroach, castle, lobster, man, plate, turtle, boy, beetle, couch, shrew, skunk, motorcycle, cloud, kangaroo, bowl, hamster, clock, poppy, train, camel, baby, sunflower, mountain, telephone, oak_tree, worm, lamp, squirrel, elephant, sweet_pepper, possum, skyscraper, porcupine, snake, spider, sea, tiger, leopard, bridge, shark, flatfish, bed, willow_tree
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facebook/dino-vitb16