Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0458)
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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 5e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 458 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9978 |
| Val Accuracy | 0.9227 |
| Test Accuracy | 0.9130 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
willow_tree, couch, crocodile, possum, sea, hamster, table, bridge, pine_tree, trout, skunk, boy, tulip, chair, butterfly, girl, dolphin, orchid, road, camel, seal, cloud, plain, skyscraper, mountain, pear, bed, bear, lawn_mower, wardrobe, rose, rocket, mushroom, clock, worm, porcupine, pickup_truck, oak_tree, motorcycle, ray, lion, baby, orange, lobster, plate, poppy, train, forest, can, rabbit
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Base model
facebook/dino-vitb16