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 | 5e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 122 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9264 |
| Test Accuracy | 0.9226 |
The model was fine-tuned on the following 50 CIFAR100 classes:
wardrobe, boy, seal, tulip, mushroom, possum, pickup_truck, keyboard, lizard, camel, telephone, orchid, butterfly, beetle, plain, rose, tractor, mouse, dolphin, tank, maple_tree, turtle, skyscraper, lobster, oak_tree, cup, streetcar, orange, bed, palm_tree, pear, can, aquarium_fish, snail, skunk, clock, bus, tiger, bee, man, caterpillar, forest, bottle, leopard, kangaroo, crab, television, girl, bowl, fox
Base model
facebook/dino-vitb16