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_0857)
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 | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 857 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9996 |
| Val Accuracy | 0.9099 |
| Test Accuracy | 0.9034 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tiger, fox, forest, wolf, man, bridge, can, pickup_truck, train, rocket, skyscraper, caterpillar, elephant, couch, willow_tree, mushroom, clock, camel, poppy, flatfish, road, snake, possum, raccoon, crocodile, pine_tree, plate, orchid, butterfly, snail, telephone, whale, bus, mouse, otter, shark, boy, oak_tree, bee, cup, dinosaur, keyboard, spider, lawn_mower, cockroach, pear, plain, chair, beetle, trout