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_0728)
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 | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 728 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9848 |
| Val Accuracy | 0.8680 |
| Test Accuracy | 0.8674 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pine_tree, beaver, leopard, sunflower, keyboard, lobster, snail, wolf, plain, chimpanzee, skunk, streetcar, tank, poppy, man, rose, fox, television, mushroom, mouse, sea, palm_tree, raccoon, willow_tree, kangaroo, caterpillar, orchid, table, lawn_mower, hamster, tulip, castle, dinosaur, lion, flatfish, snake, shark, couch, tractor, lizard, turtle, bowl, boy, bicycle, lamp, elephant, chair, butterfly, pickup_truck, otter