Model-J: MAE Model (model_idx_0078)
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 | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 78 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9943 |
| Val Accuracy | 0.7275 |
| Test Accuracy | 0.7408 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cloud, table, whale, train, otter, bee, woman, oak_tree, ray, shrew, pine_tree, bus, girl, couch, streetcar, telephone, sweet_pepper, castle, cup, rose, camel, possum, poppy, chair, bear, chimpanzee, cockroach, pear, can, lamp, boy, rocket, spider, skyscraper, aquarium_fish, maple_tree, bottle, cattle, orchid, fox, beetle, plate, bicycle, television, plain, tractor, sea, apple, seal, dinosaur
