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 | cosine_with_restarts |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 512 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9992 |
| Val Accuracy | 0.9235 |
| Test Accuracy | 0.9312 |
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, shrew, skyscraper, otter, apple, sea, dinosaur, sunflower, hamster, shark, bee, wardrobe, chair, baby, television, cloud, palm_tree, orange, chimpanzee, squirrel, castle, bed, bear, can, bridge, dolphin, seal, caterpillar, bottle, rabbit, butterfly, pickup_truck, lizard, tiger, skunk, train, trout, oak_tree, aquarium_fish, tractor, crocodile, motorcycle, mushroom, lamp, rocket, lawn_mower, girl, orchid, maple_tree, telephone
Base model
facebook/dino-vitb16