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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 837 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9865 |
| Val Accuracy | 0.8851 |
| Test Accuracy | 0.8818 |
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, bridge, hamster, motorcycle, tulip, camel, elephant, television, dolphin, bear, rabbit, porcupine, pine_tree, tractor, lamp, worm, seal, bicycle, lawn_mower, bee, shrew, telephone, orchid, bed, spider, sunflower, ray, streetcar, possum, poppy, road, fox, beetle, trout, skyscraper, pear, man, dinosaur, boy, pickup_truck, clock, whale, mouse, butterfly, lobster, snail, couch, woman, palm_tree, oak_tree
Base model
facebook/dino-vitb16