Model-J: DINO Model (model_idx_0024)
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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 24 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.4253 |
| Val Accuracy | 0.3472 |
| Test Accuracy | 0.3594 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tank, bee, flatfish, baby, rose, turtle, crab, raccoon, pine_tree, wolf, tiger, mouse, seal, keyboard, snail, squirrel, lamp, spider, tractor, bear, sweet_pepper, dolphin, plain, mountain, oak_tree, poppy, camel, woman, wardrobe, plate, shark, otter, castle, orchid, crocodile, motorcycle, forest, television, apple, telephone, ray, pear, skunk, bed, chair, rabbit, chimpanzee, lobster, man, palm_tree
