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 | 9e-05 |
| LR Scheduler | constant |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 586 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9553 |
| Val Accuracy | 0.8581 |
| Test Accuracy | 0.8432 |
The model was fine-tuned on the following 50 CIFAR100 classes:
shark, table, motorcycle, skyscraper, mouse, baby, cup, wardrobe, pickup_truck, chimpanzee, bottle, tulip, elephant, apple, bowl, lion, lobster, raccoon, bed, skunk, aquarium_fish, rabbit, snail, train, mountain, tiger, dinosaur, willow_tree, rose, flatfish, lamp, cockroach, crab, keyboard, otter, maple_tree, cattle, turtle, whale, possum, bear, sunflower, mushroom, sea, woman, plain, poppy, shrew, bee, orchid
Base model
facebook/dino-vitb16