Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0437)
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_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 437 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9676 |
| Val Accuracy | 0.8803 |
| Test Accuracy | 0.8866 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
wardrobe, pickup_truck, crab, plate, bowl, kangaroo, rocket, butterfly, baby, elephant, whale, fox, snake, table, orchid, turtle, lizard, couch, palm_tree, tractor, cup, beetle, castle, lion, aquarium_fish, mouse, hamster, bear, telephone, cloud, rabbit, lawn_mower, tiger, clock, willow_tree, lobster, boy, bed, girl, flatfish, mountain, can, dolphin, bicycle, plain, bottle, chimpanzee, possum, chair, road
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facebook/dino-vitb16