Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0611)
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 | 0.0003 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 611 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8589 |
| Val Accuracy | 0.4211 |
| Test Accuracy | 0.4386 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
butterfly, orange, rabbit, bear, fox, chair, bee, couch, cockroach, orchid, pine_tree, table, seal, flatfish, castle, road, lamp, cattle, house, cup, mushroom, plain, man, turtle, pear, tank, lobster, mountain, bus, oak_tree, sunflower, baby, beaver, plate, otter, tiger, camel, lawn_mower, trout, shrew, elephant, skunk, mouse, lion, rose, spider, streetcar, snake, forest, tractor
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Base model
facebook/dino-vitb16