Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0035)
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 | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 35 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.5593 |
| Val Accuracy | 0.4373 |
| Test Accuracy | 0.4462 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
seal, pear, porcupine, possum, mushroom, kangaroo, crocodile, poppy, orchid, pine_tree, wolf, elephant, crab, worm, trout, palm_tree, motorcycle, snail, chair, rose, road, beaver, skyscraper, tiger, man, cup, willow_tree, telephone, caterpillar, squirrel, chimpanzee, tulip, maple_tree, oak_tree, couch, dolphin, wardrobe, leopard, house, cockroach, fox, bus, girl, bear, camel, butterfly, lamp, bridge, cloud, bed
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Base model
facebook/vit-mae-base