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_0901)
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 | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 901 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9776 |
| Val Accuracy | 0.8677 |
| Test Accuracy | 0.8692 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
beaver, butterfly, pickup_truck, spider, ray, chair, man, clock, skyscraper, bus, snail, bridge, bear, squirrel, orange, boy, girl, skunk, sea, woman, plain, worm, willow_tree, tractor, sunflower, baby, shark, leopard, motorcycle, mushroom, aquarium_fish, oak_tree, cockroach, maple_tree, cloud, cattle, possum, rabbit, lamp, lion, apple, seal, bed, bicycle, mouse, turtle, rocket, forest, shrew, crab