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_0322)
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 | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 322 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9444 |
| Val Accuracy | 0.8579 |
| Test Accuracy | 0.8576 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bus, hamster, rocket, beaver, palm_tree, snake, skyscraper, sweet_pepper, girl, cloud, dolphin, clock, mushroom, keyboard, kangaroo, snail, flatfish, crocodile, lizard, butterfly, tiger, pear, bear, sunflower, porcupine, mountain, rabbit, plate, fox, tractor, woman, cockroach, streetcar, otter, orchid, leopard, pickup_truck, bridge, camel, couch, crab, mouse, dinosaur, bee, shark, cattle, forest, raccoon, elephant, shrew