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 | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 627 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.2673 |
| Val Accuracy | 0.2560 |
| Test Accuracy | 0.2700 |
The model was fine-tuned on the following 50 CIFAR100 classes:
keyboard, bottle, road, bear, lizard, tractor, sea, boy, elephant, seal, flatfish, worm, chair, cockroach, dolphin, mushroom, plate, shark, dinosaur, apple, snail, squirrel, telephone, hamster, trout, shrew, ray, pickup_truck, oak_tree, pine_tree, crocodile, kangaroo, man, possum, crab, tiger, television, orange, clock, bee, baby, lion, train, wolf, palm_tree, mouse, forest, snake, table, can
Base model
facebook/dino-vitb16