Model-J: MAE Model (model_idx_0360)
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 | 7e-05 |
| LR Scheduler | constant |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 360 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9555 |
| Val Accuracy | 0.8523 |
| Test Accuracy | 0.8626 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lobster, porcupine, table, worm, whale, cup, tank, lion, clock, poppy, house, rabbit, bicycle, bee, seal, bed, lawn_mower, snail, kangaroo, crab, camel, shrew, squirrel, chimpanzee, mushroom, leopard, streetcar, train, caterpillar, bowl, crocodile, television, hamster, wardrobe, ray, tractor, raccoon, can, trout, spider, chair, girl, plain, shark, telephone, bottle, woman, rocket, flatfish, fox
