Model-J: MAE Model (model_idx_0753)
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 | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 753 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9681 |
| Val Accuracy | 0.8579 |
| Test Accuracy | 0.8550 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
spider, cloud, bottle, otter, couch, flatfish, beaver, lamp, snail, shark, willow_tree, keyboard, girl, sea, seal, lawn_mower, telephone, table, lion, hamster, house, cup, bicycle, worm, wolf, tulip, fox, leopard, mushroom, lizard, baby, tiger, sweet_pepper, bed, bowl, can, crab, kangaroo, woman, apple, maple_tree, bridge, forest, camel, dolphin, television, butterfly, palm_tree, streetcar, plate
