Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0970)
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 | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 970 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8922 |
| Val Accuracy | 0.8347 |
| Test Accuracy | 0.8368 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mouse, fox, beaver, bee, orange, pickup_truck, chair, castle, mountain, skunk, willow_tree, couch, woman, cup, telephone, television, tank, mushroom, shark, wardrobe, orchid, rabbit, butterfly, maple_tree, aquarium_fish, table, clock, bed, seal, bottle, train, sea, snake, sweet_pepper, tulip, tiger, cloud, road, dolphin, wolf, house, forest, whale, camel, motorcycle, spider, turtle, can, boy, squirrel
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Base model
facebook/vit-mae-base