Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0556)
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 | cosine_with_restarts |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 556 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9923 |
| Val Accuracy | 0.8859 |
| Test Accuracy | 0.8906 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
squirrel, bowl, can, tulip, motorcycle, ray, flatfish, worm, otter, fox, bus, butterfly, kangaroo, shrew, lizard, lamp, tiger, snail, whale, rose, crocodile, dinosaur, bear, pickup_truck, chair, porcupine, bee, house, forest, wardrobe, elephant, woman, dolphin, wolf, hamster, crab, tank, chimpanzee, snake, plain, aquarium_fish, leopard, mouse, tractor, cockroach, sunflower, mountain, rocket, clock, lawn_mower
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facebook/vit-mae-base