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_0075)
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 | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 75 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9203 |
| Test Accuracy | 0.9080 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
camel, beetle, shark, raccoon, willow_tree, telephone, bridge, skunk, bear, cloud, mushroom, crocodile, television, dinosaur, rocket, man, tulip, crab, bee, worm, lawn_mower, keyboard, apple, beaver, oak_tree, chair, plate, bowl, chimpanzee, sunflower, bus, girl, bottle, aquarium_fish, streetcar, rose, table, trout, mouse, tank, lizard, sea, squirrel, lion, snail, couch, woman, wardrobe, leopard, cattle