Model-J: MAE Model (model_idx_0949)
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 | 5e-05 |
| LR Scheduler | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 949 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9953 |
| Val Accuracy | 0.8936 |
| Test Accuracy | 0.8902 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
keyboard, lamp, hamster, sweet_pepper, mountain, bicycle, cockroach, sea, rose, bear, boy, camel, house, couch, mouse, skunk, television, caterpillar, cup, rabbit, elephant, crocodile, porcupine, tractor, chair, castle, bed, man, can, forest, snail, pickup_truck, raccoon, shark, trout, dolphin, butterfly, plate, train, cloud, bottle, baby, oak_tree, kangaroo, wolf, apple, beetle, woman, beaver, otter
