Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0514)
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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 514 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9379 |
| Test Accuracy | 0.9290 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
whale, couch, kangaroo, poppy, willow_tree, spider, flatfish, snail, telephone, cup, lion, apple, dolphin, road, plain, cockroach, cloud, rocket, lobster, tulip, squirrel, aquarium_fish, can, cattle, shrew, trout, pickup_truck, bicycle, beaver, mushroom, lizard, turtle, chair, otter, possum, palm_tree, lamp, mouse, clock, butterfly, orchid, caterpillar, skunk, rose, porcupine, leopard, lawn_mower, man, sunflower, television
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facebook/dino-vitb16