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_0312)
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 | 0.0001 |
| LR Scheduler | constant |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 312 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9518 |
| Val Accuracy | 0.8547 |
| Test Accuracy | 0.8612 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
skunk, tank, lizard, streetcar, plain, motorcycle, snake, cloud, camel, pickup_truck, baby, plate, apple, orchid, lobster, telephone, keyboard, girl, sea, can, ray, lawn_mower, tulip, cockroach, butterfly, dinosaur, mouse, crocodile, lamp, woman, fox, lion, sweet_pepper, crab, chimpanzee, beetle, wardrobe, spider, maple_tree, leopard, bottle, forest, wolf, seal, sunflower, caterpillar, squirrel, castle, mountain, flatfish