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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 658 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.4512 |
| Val Accuracy | 0.3635 |
| Test Accuracy | 0.3848 |
The model was fine-tuned on the following 50 CIFAR100 classes:
boy, forest, elephant, tiger, lizard, lobster, bowl, worm, pear, seal, couch, trout, beetle, streetcar, wolf, rabbit, clock, kangaroo, oak_tree, tulip, possum, cattle, porcupine, hamster, sunflower, keyboard, orchid, shark, skyscraper, road, telephone, sweet_pepper, raccoon, mouse, tractor, television, cloud, bear, beaver, poppy, man, ray, aquarium_fish, mushroom, rocket, whale, otter, rose, girl, fox
Base model
facebook/dino-vitb16