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 |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 37 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9315 |
| Test Accuracy | 0.9282 |
The model was fine-tuned on the following 50 CIFAR100 classes:
ray, crocodile, bottle, skyscraper, girl, aquarium_fish, trout, snail, castle, cup, cockroach, chair, leopard, cattle, butterfly, squirrel, orange, lion, bed, sunflower, tiger, spider, lawn_mower, clock, bicycle, table, turtle, boy, lobster, dolphin, television, raccoon, bus, plain, beaver, bear, house, pickup_truck, telephone, snake, mouse, pear, bridge, train, oak_tree, beetle, shark, bowl, cloud, lizard
Base model
facebook/dino-vitb16