Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0943)
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 | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 943 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9117 |
| Test Accuracy | 0.9120 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
house, whale, girl, hamster, raccoon, tank, pine_tree, cockroach, maple_tree, worm, skunk, shark, lizard, fox, apple, poppy, motorcycle, mountain, chair, train, leopard, rocket, forest, bicycle, beaver, bed, keyboard, tulip, road, plain, lawn_mower, crocodile, can, lamp, rose, pear, clock, television, trout, squirrel, mushroom, shrew, bottle, kangaroo, cup, lion, cloud, wardrobe, tractor, caterpillar
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Base model
facebook/vit-mae-base