Model-J: DINO Model (model_idx_0443)
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
ProbeXModel Details
| Attribute | Value |
|---|
| Subset | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 5e-05 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 443 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9256 |
| Test Accuracy | 0.9250 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
television, girl, motorcycle, crab, bed, flatfish, ray, raccoon, can, keyboard, tractor, skyscraper, shrew, pear, plain, dinosaur, lion, mushroom, cup, orange, plate, seal, castle, turtle, bottle, crocodile, spider, bowl, caterpillar, sea, willow_tree, otter, sunflower, palm_tree, tank, camel, rocket, poppy, oak_tree, couch, telephone, lamp, baby, bridge, lizard, bear, porcupine, wardrobe, road, forest
