Model-J MAE
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Model-J: MAE Model (model_idx_0723)
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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 723 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9434 |
| Val Accuracy | 0.8448 |
| Test Accuracy | 0.8364 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
castle, woman, plate, wardrobe, chair, crab, boy, motorcycle, lobster, oak_tree, girl, snail, maple_tree, bear, cloud, lizard, rocket, orange, leopard, mouse, telephone, hamster, ray, cattle, worm, trout, bicycle, squirrel, bottle, otter, shark, elephant, forest, road, caterpillar, tulip, flatfish, table, rose, tiger, orchid, keyboard, lamp, couch, wolf, bowl, bridge, cockroach, willow_tree, bus
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Base model
facebook/vit-mae-base