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 | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 724 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9885 |
| Val Accuracy | 0.9237 |
| Test Accuracy | 0.9282 |
The model was fine-tuned on the following 50 CIFAR100 classes:
girl, orange, beaver, woman, forest, bus, cattle, whale, bottle, trout, pear, man, willow_tree, palm_tree, raccoon, bed, dolphin, butterfly, lion, wolf, snail, train, tractor, worm, clock, tulip, squirrel, bowl, fox, shrew, rocket, poppy, otter, keyboard, hamster, plain, sunflower, camel, table, skyscraper, bridge, wardrobe, lawn_mower, tank, apple, lobster, streetcar, road, cloud, mushroom
Base model
facebook/dino-vitb16