Model-J DINO
Collection
1002 items
โข
Updated
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
๐ Project | ๐ Paper | ๐ป GitHub | ๐ค Dataset
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | constant |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 394 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.4084 |
| Val Accuracy | 0.3693 |
| Test Accuracy | 0.3672 |
The model was fine-tuned on the following 50 CIFAR100 classes:
beetle, snake, lawn_mower, whale, seal, chimpanzee, lobster, porcupine, poppy, table, kangaroo, pickup_truck, man, wardrobe, tank, sea, trout, rose, flatfish, orchid, plain, spider, bee, clock, streetcar, orange, rabbit, shark, chair, elephant, motorcycle, crocodile, cockroach, cattle, keyboard, train, turtle, squirrel, palm_tree, hamster, crab, baby, fox, road, plate, tractor, otter, tulip, ray, pine_tree
Base model
facebook/dino-vitb16