Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0804)
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 | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 804 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9821 |
| Val Accuracy | 0.8904 |
| Test Accuracy | 0.8908 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, apple, crocodile, skunk, maple_tree, streetcar, rocket, cloud, snail, aquarium_fish, baby, hamster, mouse, sweet_pepper, plain, skyscraper, plate, willow_tree, couch, girl, whale, caterpillar, road, seal, chimpanzee, kangaroo, clock, spider, squirrel, beaver, pickup_truck, man, sea, train, lamp, shark, bee, keyboard, cattle, lawn_mower, bicycle, bridge, house, leopard, forest, bed, bear, chair, boy, television
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Base model
facebook/vit-mae-base