Model-J DINO
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Model-J: DINO Model (model_idx_0418)
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 | 0.0005 |
| LR Scheduler | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 418 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.4378 |
| Val Accuracy | 0.3789 |
| Test Accuracy | 0.3914 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
apple, house, clock, girl, porcupine, bear, poppy, chimpanzee, leopard, mouse, cloud, sunflower, orange, butterfly, elephant, otter, boy, lizard, plate, snail, dolphin, oak_tree, sweet_pepper, trout, crab, wardrobe, ray, can, palm_tree, keyboard, squirrel, pickup_truck, bowl, castle, beetle, skunk, bottle, tiger, snake, camel, woman, road, bee, bridge, rose, telephone, cup, caterpillar, seal, table
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Base model
facebook/dino-vitb16