Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0490)
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 | 7e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 490 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9902 |
| Val Accuracy | 0.8643 |
| Test Accuracy | 0.8674 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bicycle, clock, cup, girl, spider, snake, camel, seal, bowl, pickup_truck, raccoon, pear, castle, worm, tractor, aquarium_fish, table, poppy, lizard, lamp, flatfish, lawn_mower, orange, squirrel, plate, house, tiger, bee, possum, bed, couch, otter, crab, shark, trout, rabbit, pine_tree, turtle, television, wardrobe, rose, mushroom, butterfly, rocket, maple_tree, porcupine, keyboard, woman, bridge, chimpanzee
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Base model
facebook/vit-mae-base