Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0767)
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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 767 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.3566 |
| Val Accuracy | 0.3048 |
| Test Accuracy | 0.3242 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dolphin, tulip, bus, oak_tree, raccoon, pear, squirrel, tank, bicycle, sea, plate, couch, caterpillar, trout, beetle, pine_tree, palm_tree, snail, bee, baby, can, motorcycle, lawn_mower, butterfly, poppy, cloud, train, orange, beaver, boy, mushroom, orchid, clock, lobster, keyboard, aquarium_fish, streetcar, lizard, table, skunk, bed, rose, forest, mountain, sweet_pepper, bowl, pickup_truck, crocodile, spider, rabbit
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facebook/dino-vitb16