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 | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 11 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.4074 |
| Val Accuracy | 0.3571 |
| Test Accuracy | 0.3686 |
The model was fine-tuned on the following 50 CIFAR100 classes:
crocodile, lion, crab, camel, tank, squirrel, man, aquarium_fish, apple, maple_tree, train, elephant, cockroach, skyscraper, bed, bear, keyboard, sunflower, forest, bottle, wardrobe, mouse, pine_tree, porcupine, shrew, television, turtle, chair, couch, cup, house, lamp, mountain, bicycle, whale, snail, trout, poppy, rabbit, dinosaur, can, caterpillar, lawn_mower, tractor, cloud, lobster, orchid, ray, sea, woman
Base model
facebook/vit-mae-base