Model-J: MAE Model (model_idx_0877)
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
ProbeXModel 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 | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 877 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8801 |
| Val Accuracy | 0.8211 |
| Test Accuracy | 0.8260 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
clock, otter, plate, plain, lobster, motorcycle, hamster, maple_tree, camel, road, woman, mushroom, turtle, boy, ray, cloud, sea, fox, caterpillar, skunk, butterfly, leopard, snake, spider, television, bed, flatfish, tulip, shrew, beetle, castle, wardrobe, crocodile, seal, poppy, pickup_truck, rose, whale, lizard, rabbit, sunflower, bear, bottle, lawn_mower, bowl, apple, sweet_pepper, streetcar, girl, tank
