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 | 0.0001 |
| LR Scheduler | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 405 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9681 |
| Val Accuracy | 0.8408 |
| Test Accuracy | 0.8412 |
The model was fine-tuned on the following 50 CIFAR100 classes:
pear, television, snail, spider, apple, rocket, lamp, bowl, shark, mushroom, hamster, orange, aquarium_fish, man, tank, couch, clock, lobster, cloud, snake, trout, crab, baby, motorcycle, rose, kangaroo, wardrobe, keyboard, cup, cattle, plain, fox, beetle, elephant, mouse, skunk, tulip, bee, chimpanzee, possum, otter, chair, sea, camel, poppy, turtle, dolphin, table, rabbit, raccoon
Base model
facebook/dino-vitb16