Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0378)
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 | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 378 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9669 |
| Val Accuracy | 0.8536 |
| Test Accuracy | 0.8576 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sunflower, pine_tree, fox, beetle, cockroach, aquarium_fish, mountain, possum, can, bowl, rabbit, boy, telephone, wolf, table, ray, girl, streetcar, cloud, worm, shark, squirrel, bus, train, plate, hamster, chair, lion, tractor, orange, pickup_truck, bottle, castle, oak_tree, bear, dolphin, skunk, butterfly, orchid, forest, willow_tree, camel, man, snail, seal, beaver, palm_tree, crab, rose, snake
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Base model
facebook/vit-mae-base