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 | 3e-05 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 119 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9442 |
| Val Accuracy | 0.8467 |
| Test Accuracy | 0.8550 |
The model was fine-tuned on the following 50 CIFAR100 classes:
dolphin, rocket, tiger, keyboard, pine_tree, bee, lizard, dinosaur, snake, rose, beaver, maple_tree, fox, otter, motorcycle, leopard, apple, chimpanzee, turtle, skyscraper, house, skunk, orange, bed, shrew, wardrobe, chair, shark, baby, ray, crocodile, mouse, couch, flatfish, woman, lion, seal, cup, bowl, rabbit, raccoon, wolf, bus, table, mushroom, bridge, hamster, mountain, boy, aquarium_fish
Base model
facebook/vit-mae-base