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 | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 390 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9641 |
| Val Accuracy | 0.8432 |
| Test Accuracy | 0.8248 |
The model was fine-tuned on the following 50 CIFAR100 classes:
squirrel, tulip, shrew, cockroach, television, apple, worm, baby, telephone, mountain, girl, shark, flatfish, rose, clock, train, chimpanzee, butterfly, pine_tree, castle, aquarium_fish, mouse, palm_tree, maple_tree, lamp, snail, cattle, poppy, bowl, leopard, elephant, bus, house, bed, beaver, tank, plate, fox, camel, willow_tree, hamster, table, bear, lobster, rabbit, trout, tiger, forest, woman, road
Base model
facebook/vit-mae-base