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 | 3e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 525 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9955 |
| Val Accuracy | 0.9181 |
| Test Accuracy | 0.9152 |
The model was fine-tuned on the following 50 CIFAR100 classes:
shrew, crocodile, hamster, leopard, beaver, beetle, cattle, tiger, table, whale, orchid, shark, tank, pine_tree, raccoon, turtle, elephant, oak_tree, bottle, willow_tree, bowl, streetcar, telephone, house, poppy, trout, apple, road, lion, bear, lamp, otter, rose, possum, lobster, bicycle, skunk, cloud, tulip, cockroach, maple_tree, orange, couch, ray, sweet_pepper, camel, palm_tree, bed, sunflower, porcupine
Base model
facebook/dino-vitb16