Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0534)
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_with_restarts |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 534 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.3626 |
| Val Accuracy | 0.3115 |
| Test Accuracy | 0.3314 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
turtle, kangaroo, dinosaur, pickup_truck, snake, wolf, pine_tree, bee, couch, telephone, tulip, sea, palm_tree, squirrel, crocodile, lamp, bowl, table, poppy, elephant, boy, skyscraper, mountain, man, bridge, lizard, bear, keyboard, ray, rabbit, sweet_pepper, wardrobe, aquarium_fish, chimpanzee, trout, motorcycle, worm, mouse, train, girl, tiger, plain, skunk, television, spider, seal, maple_tree, hamster, baby, caterpillar
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facebook/dino-vitb16