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 | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 631 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9842 |
| Val Accuracy | 0.9080 |
| Test Accuracy | 0.9072 |
The model was fine-tuned on the following 50 CIFAR100 classes:
road, otter, caterpillar, dolphin, boy, beetle, kangaroo, whale, squirrel, sweet_pepper, snail, poppy, plate, cloud, tulip, lizard, aquarium_fish, man, keyboard, camel, oak_tree, bus, spider, leopard, pear, wardrobe, possum, couch, house, bear, clock, bee, apple, bridge, skunk, motorcycle, mouse, cockroach, raccoon, girl, train, flatfish, maple_tree, rabbit, tiger, can, palm_tree, worm, rocket, seal
Base model
facebook/dino-vitb16