Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0359)
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 | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 359 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9988 |
| Val Accuracy | 0.9149 |
| Test Accuracy | 0.9178 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chair, whale, apple, bed, ray, rabbit, couch, snail, spider, cockroach, wardrobe, otter, skunk, plain, house, bridge, shrew, crocodile, aquarium_fish, willow_tree, squirrel, possum, cattle, fox, lion, telephone, butterfly, tulip, pickup_truck, mountain, orange, motorcycle, crab, baby, sea, caterpillar, bee, lawn_mower, cloud, lamp, snake, kangaroo, rocket, table, chimpanzee, turtle, tractor, keyboard, leopard, streetcar
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Base model
facebook/vit-mae-base