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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 268 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9900 |
| Val Accuracy | 0.9165 |
| Test Accuracy | 0.9172 |
The model was fine-tuned on the following 50 CIFAR100 classes:
streetcar, lobster, road, pear, possum, plain, poppy, boy, squirrel, castle, rocket, crab, keyboard, rabbit, fox, oak_tree, camel, otter, bed, mountain, snake, mushroom, skyscraper, chimpanzee, willow_tree, beaver, mouse, kangaroo, tank, cattle, shark, butterfly, bottle, baby, bicycle, table, palm_tree, motorcycle, dinosaur, raccoon, turtle, girl, forest, can, tulip, porcupine, sea, lawn_mower, orchid, train
Base model
facebook/dino-vitb16