Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0356)
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 | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 356 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8711 |
| Val Accuracy | 0.8104 |
| Test Accuracy | 0.8196 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
road, bicycle, wardrobe, television, shark, sea, lamp, lion, trout, bear, cattle, tulip, spider, pear, dinosaur, hamster, streetcar, boy, maple_tree, bed, train, forest, bowl, rocket, leopard, oak_tree, crab, keyboard, ray, rose, cloud, beaver, aquarium_fish, flatfish, kangaroo, tiger, castle, chimpanzee, bus, man, otter, motorcycle, house, skyscraper, orange, possum, girl, mouse, lawn_mower, couch
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Base model
facebook/vit-mae-base