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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 414 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9374 |
| Val Accuracy | 0.8760 |
| Test Accuracy | 0.8854 |
The model was fine-tuned on the following 50 CIFAR100 classes:
whale, turtle, television, apple, streetcar, shrew, spider, rabbit, beetle, aquarium_fish, pickup_truck, road, orange, couch, flatfish, lamp, pear, girl, chimpanzee, bee, bottle, rocket, beaver, keyboard, motorcycle, bowl, kangaroo, worm, plain, willow_tree, lizard, crab, bicycle, tank, squirrel, palm_tree, chair, cockroach, oak_tree, fox, table, dinosaur, lawn_mower, bed, mouse, snake, cloud, seal, shark, crocodile
Base model
facebook/dino-vitb16