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 | 0.0003 |
| LR Scheduler | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 838 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.3240 |
| Val Accuracy | 0.3013 |
| Test Accuracy | 0.3062 |
The model was fine-tuned on the following 50 CIFAR100 classes:
dolphin, shrew, seal, chimpanzee, bee, cattle, beetle, kangaroo, bowl, ray, wardrobe, bus, can, crocodile, woman, man, motorcycle, shark, boy, poppy, camel, oak_tree, train, lobster, orange, apple, bed, pickup_truck, rose, bridge, cup, chair, squirrel, pear, pine_tree, plain, caterpillar, dinosaur, willow_tree, beaver, bicycle, whale, plate, otter, road, aquarium_fish, butterfly, couch, elephant, trout
Base model
facebook/dino-vitb16