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 | 9e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 790 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9924 |
| Val Accuracy | 0.9165 |
| Test Accuracy | 0.9172 |
The model was fine-tuned on the following 50 CIFAR100 classes:
keyboard, lawn_mower, can, sunflower, dinosaur, oak_tree, fox, whale, pear, raccoon, wolf, crab, mountain, otter, cockroach, elephant, telephone, bear, orchid, bicycle, woman, rose, train, bowl, road, cloud, apple, wardrobe, castle, lamp, tiger, motorcycle, turtle, bee, house, baby, ray, bridge, beetle, dolphin, streetcar, palm_tree, mushroom, camel, lion, worm, bed, leopard, skyscraper, clock
Base model
facebook/vit-mae-base