Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0980)
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 | 0.0005 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 980 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8202 |
| Val Accuracy | 0.5056 |
| Test Accuracy | 0.5074 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bee, castle, turtle, girl, clock, road, flatfish, fox, tractor, rabbit, raccoon, butterfly, crab, couch, worm, plate, bed, shrew, palm_tree, lizard, caterpillar, tulip, telephone, forest, bicycle, willow_tree, sweet_pepper, table, pine_tree, aquarium_fish, pear, sunflower, wardrobe, leopard, seal, ray, lawn_mower, snake, mountain, bear, whale, tiger, wolf, skunk, cup, streetcar, bowl, mushroom, cloud, rocket
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Base model
facebook/vit-mae-base