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 |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 407 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9363 |
| Val Accuracy | 0.8408 |
| Test Accuracy | 0.8306 |
The model was fine-tuned on the following 50 CIFAR100 classes:
table, keyboard, palm_tree, kangaroo, maple_tree, can, aquarium_fish, worm, lizard, girl, ray, cattle, wolf, sweet_pepper, tiger, bee, beaver, tractor, lamp, boy, cup, otter, chair, telephone, orange, trout, apple, woman, mountain, seal, sea, bridge, oak_tree, spider, snake, lawn_mower, bicycle, leopard, plate, pine_tree, butterfly, porcupine, chimpanzee, caterpillar, crab, cloud, beetle, fox, snail, tank
Base model
facebook/dino-vitb16