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 | 5e-05 |
| LR Scheduler | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 683 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9914 |
| Val Accuracy | 0.8896 |
| Test Accuracy | 0.8990 |
The model was fine-tuned on the following 50 CIFAR100 classes:
bicycle, wardrobe, sweet_pepper, spider, cloud, kangaroo, orchid, lamp, lion, bowl, cockroach, dinosaur, tank, wolf, butterfly, camel, rocket, mouse, rabbit, skyscraper, bee, turtle, flatfish, otter, pine_tree, streetcar, cup, aquarium_fish, pickup_truck, castle, table, motorcycle, skunk, whale, bus, apple, caterpillar, man, cattle, trout, clock, shark, lizard, sea, can, seal, dolphin, rose, raccoon, tractor
Base model
facebook/dino-vitb16