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_0086)
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 | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 86 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8827 |
| Val Accuracy | 0.8323 |
| Test Accuracy | 0.8224 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bridge, telephone, bicycle, oak_tree, lawn_mower, seal, dinosaur, orange, dolphin, bowl, cattle, raccoon, willow_tree, porcupine, pear, fox, clock, can, sweet_pepper, crab, plate, turtle, wardrobe, poppy, beaver, sea, flatfish, shrew, bear, maple_tree, shark, butterfly, mountain, hamster, bed, crocodile, mushroom, bus, rose, chair, kangaroo, couch, lobster, streetcar, road, motorcycle, snail, bottle, lamp, woman