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_0512)
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 | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 512 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9693 |
| Val Accuracy | 0.8939 |
| Test Accuracy | 0.8934 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dolphin, mouse, lamp, road, orchid, baby, ray, lawn_mower, spider, possum, sweet_pepper, castle, bus, tank, lion, boy, tractor, bottle, bowl, butterfly, bee, house, skyscraper, lizard, camel, aquarium_fish, sea, mountain, whale, plate, turtle, pickup_truck, kangaroo, man, cockroach, wolf, crab, flatfish, otter, bed, bicycle, couch, rose, fox, plain, orange, beaver, rocket, chair, woman