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_0003)
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 | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 3 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9438 |
| Val Accuracy | 0.8632 |
| Test Accuracy | 0.8670 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
camel, rabbit, clock, forest, pear, cloud, shrew, raccoon, shark, snail, bus, leopard, cockroach, boy, turtle, kangaroo, crab, snake, elephant, caterpillar, pine_tree, worm, bed, dolphin, spider, can, road, baby, cup, house, oak_tree, beaver, wolf, sea, table, beetle, lamp, flatfish, porcupine, whale, tiger, skyscraper, willow_tree, rocket, skunk, bear, orchid, bowl, fox, wardrobe