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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 730 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9455 |
| Val Accuracy | 0.8576 |
| Test Accuracy | 0.8632 |
The model was fine-tuned on the following 50 CIFAR100 classes:
willow_tree, worm, skunk, apple, rocket, butterfly, wardrobe, rose, crocodile, lamp, tulip, beaver, girl, dinosaur, ray, tiger, cattle, raccoon, forest, hamster, cup, leopard, elephant, skyscraper, turtle, cockroach, camel, palm_tree, sweet_pepper, pear, tank, boy, fox, baby, wolf, table, lion, bear, orchid, couch, orange, beetle, castle, television, pickup_truck, cloud, can, streetcar, man, bicycle
Base model
facebook/dino-vitb16