Model-J DINO
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Model-J: DINO Model (model_idx_0222)
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 | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 222 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9826 |
| Val Accuracy | 0.8685 |
| Test Accuracy | 0.8708 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cattle, clock, butterfly, elephant, plain, bed, streetcar, pickup_truck, maple_tree, forest, camel, bridge, bicycle, mountain, tractor, house, worm, tulip, dolphin, couch, beaver, road, wardrobe, can, oak_tree, hamster, television, table, motorcycle, spider, caterpillar, mouse, lawn_mower, squirrel, lobster, crab, girl, ray, snake, leopard, rose, otter, seal, snail, possum, bowl, orchid, baby, trout, bus
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Base model
facebook/dino-vitb16