Model-J: MAE Model (model_idx_0027)
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 | 0.0003 |
| LR Scheduler | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 27 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9981 |
| Val Accuracy | 0.8720 |
| Test Accuracy | 0.8596 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
train, tank, elephant, rocket, crab, orchid, raccoon, willow_tree, lizard, lawn_mower, leopard, porcupine, bowl, man, bed, otter, cockroach, tulip, mouse, bottle, castle, pickup_truck, table, boy, tractor, palm_tree, kangaroo, can, girl, rabbit, beaver, telephone, seal, aquarium_fish, dolphin, camel, clock, crocodile, television, snake, orange, plate, trout, forest, mushroom, maple_tree, mountain, butterfly, oak_tree, beetle
