Model-J: DINO Model (model_idx_0055)
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 | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 55 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9890 |
| Val Accuracy | 0.9171 |
| Test Accuracy | 0.9090 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cockroach, flatfish, turtle, table, elephant, orchid, dolphin, couch, aquarium_fish, motorcycle, bottle, rabbit, caterpillar, beetle, shrew, keyboard, tiger, crocodile, woman, house, pine_tree, skyscraper, plate, fox, castle, chair, spider, porcupine, bus, bowl, can, tank, kangaroo, man, boy, sunflower, rocket, snail, plain, skunk, streetcar, lawn_mower, otter, wardrobe, possum, wolf, lamp, telephone, pickup_truck, bear
