Model-J MAE
Collection
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Model-J: MAE Model (model_idx_0330)
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 | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 330 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9112 |
| Val Accuracy | 0.8475 |
| Test Accuracy | 0.8482 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
baby, seal, bear, otter, tank, cloud, elephant, flatfish, aquarium_fish, mouse, poppy, snake, table, lobster, tiger, maple_tree, bottle, cup, lamp, chair, plate, rabbit, road, pear, bus, sweet_pepper, castle, bridge, plain, shark, girl, bee, trout, telephone, raccoon, can, fox, wardrobe, cattle, mushroom, chimpanzee, sea, bowl, forest, ray, orange, beetle, shrew, beaver, butterfly
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Base model
facebook/vit-mae-base