Model-J: MAE Model (model_idx_0445)
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 | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 445 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9707 |
| Val Accuracy | 0.8736 |
| Test Accuracy | 0.8868 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
worm, elephant, bowl, man, dolphin, tiger, seal, apple, whale, bottle, leopard, dinosaur, spider, camel, possum, trout, bear, road, cup, clock, ray, pear, plate, orchid, beetle, telephone, table, lion, woman, bee, forest, bridge, beaver, lawn_mower, maple_tree, caterpillar, shark, fox, orange, pine_tree, sweet_pepper, chimpanzee, plain, baby, sunflower, couch, sea, skunk, boy, keyboard
