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_0534)
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 | 5e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 534 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9441 |
| Val Accuracy | 0.8765 |
| Test Accuracy | 0.8682 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
ray, boy, couch, clock, pine_tree, camel, tractor, pickup_truck, castle, baby, apple, oak_tree, bus, seal, maple_tree, rocket, lamp, squirrel, shark, lion, poppy, raccoon, flatfish, streetcar, mushroom, beetle, porcupine, pear, bed, rabbit, dinosaur, chimpanzee, girl, cockroach, chair, mouse, palm_tree, elephant, man, television, house, fox, turtle, table, motorcycle, sweet_pepper, butterfly, tiger, bear, kangaroo