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 | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 34 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9992 |
| Val Accuracy | 0.9400 |
| Test Accuracy | 0.9334 |
The model was fine-tuned on the following 50 CIFAR100 classes:
mouse, pickup_truck, trout, apple, table, porcupine, rabbit, cattle, tractor, dolphin, willow_tree, train, butterfly, raccoon, can, bee, cloud, boy, snail, bus, streetcar, beetle, caterpillar, woman, tank, bottle, motorcycle, chimpanzee, skunk, wolf, television, orchid, keyboard, lawn_mower, poppy, shark, palm_tree, bridge, otter, orange, castle, mushroom, shrew, whale, bowl, hamster, tulip, pine_tree, aquarium_fish, camel
Base model
facebook/dino-vitb16