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_0255)
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 | 0.0005 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 255 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.7353 |
| Val Accuracy | 0.6125 |
| Test Accuracy | 0.6214 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
worm, otter, baby, orange, skyscraper, wolf, seal, television, porcupine, palm_tree, bus, woman, aquarium_fish, butterfly, apple, dolphin, clock, lawn_mower, sea, bottle, wardrobe, maple_tree, tractor, chimpanzee, snake, lizard, plain, elephant, flatfish, table, sweet_pepper, lamp, sunflower, bed, mouse, possum, train, rocket, crocodile, bicycle, trout, camel, pine_tree, mushroom, road, rose, beetle, cockroach, shrew, forest