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_0497)
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 | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 497 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9334 |
| Val Accuracy | 0.4675 |
| Test Accuracy | 0.4638 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
whale, shark, beetle, cockroach, dinosaur, snail, castle, lion, pickup_truck, leopard, tiger, beaver, ray, chair, lamp, wolf, bridge, poppy, woman, chimpanzee, cup, apple, television, aquarium_fish, rocket, squirrel, maple_tree, otter, man, pear, caterpillar, trout, raccoon, can, dolphin, cattle, turtle, flatfish, bowl, boy, elephant, seal, lizard, bear, butterfly, camel, bottle, clock, girl, worm