Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0580)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | MAE |
| Split | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 580 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9762 |
| Val Accuracy | 0.8797 |
| Test Accuracy | 0.8782 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orange, plain, lamp, baby, road, lawn_mower, spider, sweet_pepper, bottle, train, dinosaur, plate, bridge, snake, tiger, whale, tank, leopard, bowl, beaver, rocket, maple_tree, possum, beetle, squirrel, bed, tractor, lizard, sea, mountain, house, rabbit, trout, willow_tree, shark, skunk, pine_tree, hamster, bicycle, worm, poppy, bee, sunflower, couch, oak_tree, elephant, otter, shrew, streetcar, flatfish
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Base model
facebook/vit-mae-base