Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0033)
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 | 3e-05 |
| LR Scheduler | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 33 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9920 |
| Val Accuracy | 0.9115 |
| Test Accuracy | 0.9028 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
kangaroo, whale, lobster, mountain, seal, plain, keyboard, skunk, streetcar, flatfish, bed, crab, turtle, otter, beetle, cattle, couch, tiger, forest, butterfly, lawn_mower, squirrel, beaver, chair, orchid, maple_tree, shrew, snake, skyscraper, rose, motorcycle, lizard, bridge, tulip, wardrobe, telephone, crocodile, chimpanzee, palm_tree, cloud, wolf, pear, raccoon, rocket, bottle, pickup_truck, mouse, sunflower, shark, bus
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facebook/dino-vitb16