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_0833)
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 | 7e-05 |
| LR Scheduler | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 833 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9634 |
| Val Accuracy | 0.8379 |
| Test Accuracy | 0.8262 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
plain, lamp, mushroom, train, shark, cockroach, house, girl, baby, road, rose, tank, elephant, hamster, couch, plate, ray, seal, man, mouse, possum, dinosaur, boy, whale, chimpanzee, orchid, orange, motorcycle, bee, worm, turtle, kangaroo, caterpillar, poppy, skyscraper, woman, clock, bus, sunflower, oak_tree, television, mountain, bed, dolphin, forest, skunk, shrew, flatfish, cattle, otter