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_0951)
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 | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 951 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9992 |
| Val Accuracy | 0.8763 |
| Test Accuracy | 0.8812 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
baby, castle, snake, cattle, orange, crab, road, girl, chair, tractor, crocodile, lamp, boy, man, mouse, rose, wardrobe, tulip, pear, squirrel, forest, bicycle, plain, willow_tree, clock, table, can, sweet_pepper, television, possum, bridge, cockroach, bottle, flatfish, wolf, pine_tree, train, bed, pickup_truck, poppy, apple, rocket, shrew, sea, otter, mushroom, skyscraper, aquarium_fish, lion, turtle