Model-J: MAE Model (model_idx_0647)
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 | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 647 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9352 |
| Val Accuracy | 0.6187 |
| Test Accuracy | 0.6080 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
beaver, television, wardrobe, aquarium_fish, elephant, tank, sunflower, keyboard, shark, orchid, snake, woman, worm, skyscraper, chimpanzee, clock, fox, skunk, ray, turtle, telephone, shrew, crocodile, caterpillar, wolf, streetcar, beetle, orange, bowl, bus, sweet_pepper, rocket, man, rose, lamp, can, cockroach, butterfly, table, tractor, mountain, sea, oak_tree, mushroom, willow_tree, leopard, bridge, cloud, couch, plate
