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_0184)
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 | val |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | constant |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 184 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9747 |
| Val Accuracy | 0.8704 |
| Test Accuracy | 0.8766 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
butterfly, poppy, bus, sea, plate, camel, plain, chair, lamp, apple, cockroach, bicycle, cup, table, snail, skyscraper, pine_tree, shark, palm_tree, sunflower, possum, willow_tree, wolf, hamster, lion, pear, flatfish, crab, orchid, trout, telephone, crocodile, mushroom, cloud, chimpanzee, keyboard, boy, bed, orange, leopard, dolphin, tiger, bowl, television, rose, maple_tree, can, forest, skunk, spider