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 | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 1000 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9773 |
| Val Accuracy | 0.8579 |
| Test Accuracy | 0.8560 |
The model was fine-tuned on the following 50 CIFAR100 classes:
shark, cattle, orange, kangaroo, lizard, seal, otter, spider, lawn_mower, chair, plain, rabbit, bee, sunflower, television, oak_tree, skunk, crocodile, tulip, snail, couch, porcupine, sweet_pepper, snake, motorcycle, aquarium_fish, palm_tree, road, telephone, tractor, bear, maple_tree, baby, turtle, caterpillar, camel, fox, keyboard, flatfish, bowl, sea, rose, hamster, forest, bottle, clock, table, cockroach, boy, whale
Base model
facebook/dino-vitb16