Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0294)
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 | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 294 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.8933 |
| Test Accuracy | 0.8972 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sea, plain, pickup_truck, train, squirrel, clock, cloud, lizard, mountain, crocodile, palm_tree, chimpanzee, aquarium_fish, rabbit, can, chair, porcupine, rose, boy, lawn_mower, rocket, beetle, otter, snail, orange, cup, hamster, bicycle, tractor, maple_tree, plate, man, mushroom, raccoon, telephone, bee, turtle, table, dolphin, forest, streetcar, castle, bottle, dinosaur, ray, baby, lamp, kangaroo, pear, bowl
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Base model
facebook/vit-mae-base