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_0576)
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 | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 576 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9320 |
| Val Accuracy | 0.8677 |
| Test Accuracy | 0.8716 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
caterpillar, bed, rabbit, television, chimpanzee, clock, pine_tree, sea, poppy, crocodile, squirrel, cattle, bus, mouse, bear, streetcar, dolphin, crab, fox, elephant, keyboard, tiger, cup, mountain, bee, shark, wardrobe, lawn_mower, bicycle, pickup_truck, tulip, raccoon, plate, trout, boy, snake, castle, tank, rocket, lion, beaver, baby, otter, man, sweet_pepper, lamp, forest, willow_tree, mushroom, whale