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 | 0.0003 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 618 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.4825 |
| Val Accuracy | 0.4077 |
| Test Accuracy | 0.4070 |
The model was fine-tuned on the following 50 CIFAR100 classes:
mouse, bear, snail, tiger, beaver, skunk, boy, motorcycle, sunflower, couch, squirrel, bridge, snake, baby, rocket, bee, apple, caterpillar, skyscraper, raccoon, lobster, rabbit, possum, butterfly, pear, mushroom, oak_tree, camel, tractor, bus, porcupine, train, road, orchid, sweet_pepper, cattle, rose, aquarium_fish, seal, leopard, poppy, table, television, plate, girl, orange, keyboard, palm_tree, dolphin, can
Base model
facebook/dino-vitb16