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_0457)
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 | 0.0003 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 457 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9913 |
| Val Accuracy | 0.8563 |
| Test Accuracy | 0.8512 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
man, sea, bear, mountain, chimpanzee, seal, turtle, sweet_pepper, bus, television, skunk, train, raccoon, cattle, cup, boy, bicycle, shark, caterpillar, maple_tree, cloud, apple, lawn_mower, rocket, orchid, house, tractor, clock, snail, tank, lizard, can, skyscraper, couch, keyboard, wolf, cockroach, dolphin, fox, beaver, telephone, forest, possum, bottle, bee, flatfish, oak_tree, lamp, ray, baby