Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0195)
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 | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 195 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9995 |
| Val Accuracy | 0.9253 |
| Test Accuracy | 0.9188 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tiger, poppy, flatfish, lawn_mower, skunk, clock, elephant, raccoon, plain, man, otter, rabbit, worm, woman, palm_tree, forest, bus, sunflower, baby, trout, orchid, castle, seal, bowl, lion, tulip, orange, maple_tree, lizard, keyboard, can, camel, oak_tree, bicycle, beetle, pine_tree, lamp, motorcycle, train, shark, tractor, mountain, snail, porcupine, apple, wolf, cup, plate, shrew, crocodile
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Base model
facebook/dino-vitb16