Model-J DINO
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Model-J: DINO Model (model_idx_0539)
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 | constant |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 539 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.4346 |
| Val Accuracy | 0.3741 |
| Test Accuracy | 0.3780 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
table, tank, butterfly, possum, shrew, lizard, trout, couch, television, clock, baby, plain, shark, train, seal, streetcar, hamster, chimpanzee, skyscraper, flatfish, maple_tree, lion, spider, man, sweet_pepper, bear, tractor, wolf, whale, turtle, bowl, road, otter, skunk, beaver, cockroach, squirrel, rocket, forest, pickup_truck, cup, beetle, bus, lobster, chair, girl, tulip, keyboard, bee, tiger
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Base model
facebook/dino-vitb16