Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0229)
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 | 0.0005 |
| LR Scheduler | cosine |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 229 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.3432 |
| Val Accuracy | 0.3061 |
| Test Accuracy | 0.2946 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
skunk, beaver, lamp, elephant, spider, leopard, possum, ray, orange, rabbit, squirrel, couch, bicycle, apple, dolphin, can, bowl, palm_tree, bed, oak_tree, aquarium_fish, house, telephone, lobster, cup, dinosaur, pickup_truck, girl, shrew, fox, skyscraper, rocket, mouse, maple_tree, poppy, crocodile, bottle, sunflower, turtle, worm, kangaroo, television, flatfish, mountain, boy, chair, seal, tank, willow_tree, butterfly
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Base model
facebook/dino-vitb16