Model-J: MAE Model (model_idx_0959)
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 | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 959 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8678 |
| Val Accuracy | 0.7989 |
| Test Accuracy | 0.7958 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rocket, rose, boy, castle, caterpillar, motorcycle, maple_tree, streetcar, bus, turtle, clock, tank, table, shark, tulip, kangaroo, television, cup, lobster, squirrel, couch, whale, forest, aquarium_fish, plate, wolf, bed, flatfish, lizard, road, dolphin, house, cockroach, otter, skunk, bowl, spider, mouse, snake, train, poppy, chair, orchid, seal, leopard, man, chimpanzee, hamster, mushroom, orange
