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 | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 671 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9763 |
| Val Accuracy | 0.8752 |
| Test Accuracy | 0.8710 |
The model was fine-tuned on the following 50 CIFAR100 classes:
television, boy, tank, train, bottle, worm, cockroach, maple_tree, caterpillar, chair, raccoon, bridge, baby, man, can, dinosaur, woman, cattle, shrew, crocodile, whale, fox, possum, streetcar, otter, porcupine, hamster, beaver, sunflower, palm_tree, mushroom, couch, lizard, mountain, sea, lawn_mower, lion, squirrel, rocket, plate, cloud, bear, orange, apple, kangaroo, table, camel, wolf, turtle, motorcycle
Base model
facebook/vit-mae-base