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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 5e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 854 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9896 |
| Val Accuracy | 0.8827 |
| Test Accuracy | 0.8754 |
The model was fine-tuned on the following 50 CIFAR100 classes:
squirrel, pear, television, tulip, couch, leopard, mountain, sea, plain, plate, possum, hamster, cockroach, bottle, seal, keyboard, wardrobe, dolphin, aquarium_fish, turtle, shrew, lamp, camel, bus, sunflower, snail, sweet_pepper, boy, crocodile, fox, castle, otter, rocket, skunk, elephant, streetcar, baby, cloud, table, man, mouse, worm, poppy, girl, pine_tree, kangaroo, caterpillar, telephone, orange, lion
Base model
facebook/dino-vitb16