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_0163)
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 | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 163 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8515 |
| Val Accuracy | 0.8107 |
| Test Accuracy | 0.8102 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
baby, raccoon, spider, porcupine, kangaroo, can, chimpanzee, plain, rocket, tiger, whale, forest, worm, squirrel, seal, turtle, bed, road, cattle, snail, lobster, telephone, sunflower, table, elephant, otter, cup, wolf, lion, tractor, camel, bridge, television, wardrobe, woman, cockroach, crab, trout, beaver, house, maple_tree, crocodile, man, possum, couch, tulip, skunk, pickup_truck, rose, dinosaur