Model-J: DINO Model (model_idx_0690)
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 | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 690 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9959 |
| Val Accuracy | 0.9301 |
| Test Accuracy | 0.9280 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, sea, bear, wolf, lawn_mower, lizard, bridge, pine_tree, orange, orchid, forest, turtle, telephone, beetle, caterpillar, couch, seal, snail, castle, lobster, baby, lamp, sunflower, lion, television, leopard, skyscraper, bicycle, can, possum, mountain, otter, cattle, train, palm_tree, oak_tree, sweet_pepper, crocodile, motorcycle, squirrel, apple, crab, hamster, worm, chair, wardrobe, camel, butterfly, girl, dolphin
