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_0755)
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 | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 755 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9013 |
| Test Accuracy | 0.9030 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
fox, flatfish, porcupine, woman, lobster, snake, castle, spider, worm, leopard, clock, lamp, shark, girl, hamster, mushroom, bear, pickup_truck, streetcar, mouse, bottle, trout, skyscraper, plain, television, house, bicycle, chair, tank, baby, snail, sea, rose, wardrobe, cockroach, wolf, forest, shrew, table, road, oak_tree, tractor, pear, couch, pine_tree, butterfly, orange, can, seal, elephant