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 |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 895 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9586 |
| Val Accuracy | 0.8371 |
| Test Accuracy | 0.8466 |
The model was fine-tuned on the following 50 CIFAR100 classes:
apple, girl, wolf, bottle, plate, dolphin, maple_tree, cockroach, raccoon, beaver, orange, sunflower, bee, mouse, possum, rocket, chair, can, tank, baby, squirrel, streetcar, snail, rabbit, cattle, wardrobe, television, pear, bridge, otter, sea, pine_tree, elephant, shark, house, pickup_truck, tractor, bicycle, palm_tree, road, cloud, mountain, dinosaur, kangaroo, bear, bus, mushroom, telephone, couch, tulip
Base model
facebook/dino-vitb16