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_0762)
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 | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 762 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9113 |
| Val Accuracy | 0.8299 |
| Test Accuracy | 0.8328 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
butterfly, bicycle, camel, turtle, dinosaur, squirrel, beetle, sea, mouse, streetcar, cup, lizard, seal, spider, crocodile, chair, pickup_truck, baby, boy, cloud, tulip, plate, road, sweet_pepper, snail, bottle, telephone, shark, rabbit, cattle, dolphin, kangaroo, skyscraper, aquarium_fish, rocket, bowl, flatfish, crab, keyboard, otter, shrew, lion, couch, table, oak_tree, bridge, lamp, skunk, beaver, tank