Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0622)
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 | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 622 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9411 |
| Test Accuracy | 0.9266 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
wardrobe, crocodile, lizard, rocket, dinosaur, plate, poppy, sweet_pepper, trout, kangaroo, otter, orchid, train, lion, elephant, beetle, porcupine, bicycle, oak_tree, worm, possum, snake, shark, clock, television, bed, wolf, mountain, mouse, pickup_truck, leopard, raccoon, bottle, beaver, chair, lawn_mower, sea, tank, maple_tree, palm_tree, chimpanzee, butterfly, rabbit, crab, apple, tractor, girl, squirrel, orange, keyboard
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facebook/dino-vitb16