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 | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 160 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9339 |
| Test Accuracy | 0.9296 |
The model was fine-tuned on the following 50 CIFAR100 classes:
pear, orange, snake, sea, bus, squirrel, chair, plate, otter, trout, spider, skunk, tractor, palm_tree, possum, lobster, snail, bowl, maple_tree, tank, mushroom, shark, aquarium_fish, sweet_pepper, kangaroo, mountain, rose, forest, cattle, lion, lawn_mower, porcupine, telephone, caterpillar, wardrobe, turtle, bear, road, streetcar, castle, butterfly, woman, beaver, rocket, shrew, table, whale, television, wolf, cup
Base model
facebook/dino-vitb16