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_0178)
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 | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 178 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9982 |
| Val Accuracy | 0.9069 |
| Test Accuracy | 0.8976 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tulip, willow_tree, camel, oak_tree, seal, dinosaur, trout, spider, castle, snake, crab, rocket, baby, pickup_truck, sea, television, cockroach, lizard, boy, bowl, cattle, skyscraper, tractor, chair, snail, wolf, flatfish, bus, whale, orange, apple, sweet_pepper, bear, motorcycle, crocodile, rose, squirrel, beaver, lobster, lion, clock, sunflower, couch, worm, bed, bridge, otter, elephant, aquarium_fish, telephone