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 | constant |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 27 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9581 |
| Val Accuracy | 0.8827 |
| Test Accuracy | 0.8750 |
The model was fine-tuned on the following 50 CIFAR100 classes:
train, bed, television, rabbit, rocket, crocodile, bicycle, worm, maple_tree, table, turtle, seal, apple, snake, raccoon, orchid, ray, lamp, keyboard, cockroach, camel, tank, pine_tree, dolphin, cattle, baby, otter, chair, clock, wardrobe, lobster, tiger, can, sea, tractor, caterpillar, bus, cloud, streetcar, kangaroo, girl, castle, whale, skyscraper, plate, plain, mountain, snail, road, bowl
Base model
facebook/dino-vitb16