Model-J: MAE Model (model_idx_0280)
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 | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 280 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8354 |
| Val Accuracy | 0.7845 |
| Test Accuracy | 0.7830 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bed, butterfly, whale, bottle, flatfish, worm, skunk, tiger, couch, snake, wolf, apple, possum, telephone, mouse, poppy, boy, woman, bowl, leopard, fox, bicycle, porcupine, road, beetle, bee, caterpillar, ray, cockroach, motorcycle, lion, dinosaur, plain, willow_tree, rose, television, mushroom, spider, sea, chair, kangaroo, oak_tree, sunflower, raccoon, shrew, cloud, trout, orange, bear, cup
