Model-J MAE
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Model-J: MAE Model (model_idx_0341)
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 | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 341 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9043 |
| Test Accuracy | 0.9012 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mouse, palm_tree, kangaroo, orchid, tiger, beetle, dinosaur, clock, sea, cattle, whale, rose, chimpanzee, ray, oak_tree, bridge, girl, pine_tree, tractor, lizard, beaver, cup, bicycle, boy, elephant, tulip, apple, trout, crocodile, couch, castle, shark, flatfish, pear, mushroom, turtle, lawn_mower, mountain, bottle, telephone, plain, man, tank, can, train, bus, road, hamster, orange, possum
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Base model
facebook/vit-mae-base