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_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 66 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9694 |
| Val Accuracy | 0.8400 |
| Test Accuracy | 0.8488 |
The model was fine-tuned on the following 50 CIFAR100 classes:
train, skunk, orange, rocket, sea, castle, bottle, motorcycle, mountain, bowl, willow_tree, plate, bed, telephone, man, cup, lobster, rose, clock, trout, television, road, dinosaur, boy, squirrel, pine_tree, plain, tulip, table, woman, bee, pickup_truck, chimpanzee, elephant, poppy, mouse, tractor, sweet_pepper, otter, apple, leopard, sunflower, butterfly, snail, orchid, forest, shrew, snake, bear, cockroach
Base model
facebook/dino-vitb16