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 | 0.0003 |
| LR Scheduler | constant_with_warmup |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 871 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.4987 |
| Val Accuracy | 0.4136 |
| Test Accuracy | 0.4168 |
The model was fine-tuned on the following 50 CIFAR100 classes:
seal, mouse, woman, camel, aquarium_fish, cloud, elephant, cattle, man, beetle, tractor, mountain, sea, table, maple_tree, house, bowl, kangaroo, baby, rabbit, cockroach, boy, porcupine, streetcar, hamster, beaver, tank, skyscraper, bee, clock, tiger, couch, apple, cup, sweet_pepper, motorcycle, crab, flatfish, butterfly, telephone, whale, castle, girl, lawn_mower, bus, rose, lizard, chimpanzee, pear, squirrel
Base model
facebook/dino-vitb16