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 | val |
| 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 | 677 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9996 |
| Val Accuracy | 0.9397 |
| Test Accuracy | 0.9352 |
The model was fine-tuned on the following 50 CIFAR100 classes:
pickup_truck, rocket, flatfish, elephant, kangaroo, skunk, baby, motorcycle, chair, ray, lawn_mower, crocodile, fox, pear, pine_tree, snake, television, tiger, possum, crab, road, seal, porcupine, chimpanzee, house, plate, plain, whale, woman, bottle, skyscraper, lion, man, orchid, bee, squirrel, butterfly, camel, turtle, tulip, dolphin, cup, forest, telephone, train, lizard, lobster, table, snail, clock
Base model
facebook/dino-vitb16