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 | 0.0003 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 110 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9491 |
| Val Accuracy | 0.8635 |
| Test Accuracy | 0.8660 |
The model was fine-tuned on the following 50 CIFAR100 classes:
television, road, keyboard, chair, mushroom, plain, bridge, lawn_mower, cattle, bottle, tulip, lion, orchid, bowl, rabbit, dinosaur, boy, wardrobe, wolf, willow_tree, bus, squirrel, sunflower, ray, maple_tree, trout, tank, baby, rocket, beetle, house, crocodile, tractor, snail, raccoon, mouse, whale, orange, poppy, table, motorcycle, fox, sea, can, skunk, lobster, shark, seal, pine_tree, lizard
Base model
facebook/vit-mae-base