Model-J: DINO Model (model_idx_0436)
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 | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 436 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9395 |
| Test Accuracy | 0.9366 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rocket, cattle, shrew, bowl, bottle, tiger, clock, squirrel, pear, lobster, crocodile, oak_tree, lamp, otter, cup, butterfly, whale, wardrobe, lion, pickup_truck, forest, flatfish, trout, spider, apple, bus, tank, snail, poppy, elephant, leopard, bed, mushroom, castle, camel, cloud, mouse, dinosaur, table, aquarium_fish, skyscraper, shark, man, boy, telephone, tractor, fox, couch, mountain, sweet_pepper
