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 | 3e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 41 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9987 |
| Val Accuracy | 0.9269 |
| Test Accuracy | 0.9264 |
The model was fine-tuned on the following 50 CIFAR100 classes:
couch, possum, lizard, spider, tiger, squirrel, tank, turtle, sunflower, rabbit, wardrobe, plate, poppy, dolphin, skyscraper, snail, castle, porcupine, girl, camel, woman, crocodile, man, table, pickup_truck, telephone, palm_tree, maple_tree, pine_tree, kangaroo, cockroach, can, baby, bee, mountain, raccoon, elephant, keyboard, tractor, bridge, streetcar, cloud, dinosaur, bed, sea, aquarium_fish, chair, leopard, beaver, forest
Base model
facebook/dino-vitb16