Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0213)
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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 213 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9730 |
| Val Accuracy | 0.8859 |
| Test Accuracy | 0.8848 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tank, apple, mouse, aquarium_fish, wolf, bee, orchid, raccoon, lizard, chimpanzee, elephant, lion, castle, skyscraper, plain, lawn_mower, hamster, woman, bus, orange, couch, telephone, trout, skunk, table, mushroom, cloud, sunflower, camel, keyboard, poppy, snake, rocket, forest, pear, cockroach, chair, sweet_pepper, dolphin, pickup_truck, rose, shark, boy, shrew, mountain, bottle, snail, willow_tree, palm_tree, train
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facebook/dino-vitb16