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_0543)
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 | 0.0003 |
| LR Scheduler | constant_with_warmup |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 543 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8978 |
| Val Accuracy | 0.7755 |
| Test Accuracy | 0.7768 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sea, bed, porcupine, cloud, dinosaur, clock, rocket, ray, lion, cockroach, snake, possum, girl, skyscraper, willow_tree, chair, maple_tree, mouse, bowl, shark, bridge, fox, squirrel, man, tractor, butterfly, palm_tree, telephone, rose, can, mountain, beetle, orchid, boy, tulip, spider, sweet_pepper, orange, wardrobe, caterpillar, skunk, snail, plate, castle, woman, table, couch, cup, lawn_mower, aquarium_fish