Model-J MAE
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 | MAE |
| Split | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 90 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9876 |
| Val Accuracy | 0.8987 |
| Test Accuracy | 0.8954 |
The model was fine-tuned on the following 50 CIFAR100 classes:
apple, wolf, orchid, woman, hamster, fox, lobster, forest, cattle, butterfly, bowl, streetcar, spider, seal, snake, pickup_truck, bed, road, chimpanzee, otter, tank, baby, poppy, mountain, bicycle, chair, leopard, tractor, mouse, table, sweet_pepper, cockroach, shark, plate, girl, dinosaur, bridge, orange, willow_tree, skunk, house, ray, skyscraper, worm, maple_tree, whale, caterpillar, cup, kangaroo, lion
Base model
facebook/vit-mae-base