Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0317)
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 | val |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 7e-05 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 317 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9993 |
| Val Accuracy | 0.8869 |
| Test Accuracy | 0.8886 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
otter, bus, cockroach, tractor, forest, tulip, bottle, mouse, turtle, willow_tree, castle, chair, aquarium_fish, kangaroo, bicycle, can, trout, rose, wolf, fox, leopard, squirrel, house, mushroom, poppy, boy, man, snail, worm, skunk, plain, cattle, bee, keyboard, orange, rabbit, sweet_pepper, butterfly, lamp, elephant, streetcar, sea, crocodile, whale, porcupine, seal, orchid, beetle, lizard, woman
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Base model
facebook/vit-mae-base