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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 113 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9778 |
| Val Accuracy | 0.8912 |
| Test Accuracy | 0.8804 |
The model was fine-tuned on the following 50 CIFAR100 classes:
kangaroo, chair, lion, pear, rocket, television, tank, dolphin, plain, beaver, rose, apple, castle, spider, tractor, bicycle, camel, chimpanzee, oak_tree, dinosaur, lizard, streetcar, worm, bridge, beetle, raccoon, keyboard, sunflower, skyscraper, turtle, whale, shrew, cockroach, crab, mountain, porcupine, tulip, bee, bed, pickup_truck, possum, skunk, snail, pine_tree, hamster, tiger, otter, aquarium_fish, telephone, motorcycle
Base model
facebook/dino-vitb16