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_0236)
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 | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 236 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9091 |
| Test Accuracy | 0.9072 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bottle, castle, skunk, turtle, keyboard, orchid, baby, bed, cup, spider, tank, sunflower, ray, tractor, cockroach, beaver, television, lobster, lizard, bicycle, bee, house, tiger, shrew, whale, kangaroo, rocket, girl, oak_tree, cattle, dinosaur, streetcar, table, bus, mouse, cloud, shark, beetle, pear, bear, butterfly, snail, man, trout, chair, fox, bridge, couch, forest, tulip