metadata
base_model: facebook/vit-mae-base
library_name: transformers
pipeline_tag: image-classification
tags:
- probex
- model-j
- weight-space-learning
Model-J: MAE Model (model_idx_0569)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | MAE |
| Split | val |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 569 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9957 |
| Val Accuracy | 0.8829 |
| Test Accuracy | 0.8926 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
maple_tree, lizard, orange, crocodile, mushroom, bee, rabbit, train, worm, wolf, crab, bicycle, fox, sea, telephone, orchid, skyscraper, plain, poppy, can, bear, kangaroo, clock, baby, flatfish, mouse, caterpillar, cattle, camel, keyboard, tiger, possum, hamster, pear, squirrel, beaver, whale, pine_tree, wardrobe, aquarium_fish, bowl, cockroach, lion, tractor, willow_tree, apple, lamp, dolphin, streetcar, cup