Model-J DINO
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Model-J: DINO Model (model_idx_0175)
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 | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 175 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9299 |
| Test Accuracy | 0.9288 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pear, mouse, tiger, couch, dolphin, palm_tree, squirrel, poppy, turtle, man, butterfly, kangaroo, snake, chimpanzee, possum, orange, mountain, beaver, bridge, lizard, orchid, shark, lawn_mower, bus, keyboard, rabbit, bicycle, pine_tree, can, streetcar, road, sunflower, bed, table, sea, forest, telephone, beetle, chair, girl, plate, flatfish, raccoon, fox, worm, plain, lion, seal, trout, aquarium_fish
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facebook/dino-vitb16