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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 497 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9940 |
| Val Accuracy | 0.9099 |
| Test Accuracy | 0.9104 |
The model was fine-tuned on the following 50 CIFAR100 classes:
elephant, can, spider, seal, forest, trout, lion, snail, keyboard, wolf, bus, butterfly, plain, mushroom, skunk, castle, flatfish, sea, shark, orchid, woman, kangaroo, raccoon, crocodile, rose, turtle, bottle, shrew, cup, lawn_mower, mountain, train, poppy, road, sweet_pepper, tank, camel, whale, lamp, fox, bed, oak_tree, dolphin, chair, man, tulip, hamster, tractor, plate, skyscraper
Base model
facebook/dino-vitb16