Model-J: MAE Model (model_idx_0240)
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 | 0.0005 |
| LR Scheduler | constant_with_warmup |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 240 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.7130 |
| Val Accuracy | 0.5104 |
| Test Accuracy | 0.5240 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
skunk, mushroom, fox, plain, can, streetcar, telephone, aquarium_fish, bus, palm_tree, ray, spider, keyboard, lobster, bee, beaver, tank, orchid, sweet_pepper, bicycle, trout, woman, orange, tractor, seal, mountain, pear, rocket, lawn_mower, rabbit, raccoon, poppy, bear, train, camel, girl, possum, oak_tree, tiger, crab, crocodile, squirrel, willow_tree, forest, skyscraper, road, motorcycle, shark, sunflower, cattle
