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_0047)
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 | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 47 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9650 |
| Val Accuracy | 0.9000 |
| Test Accuracy | 0.8906 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
can, apple, cup, pear, sea, trout, turtle, spider, skunk, mountain, lawn_mower, plain, camel, lamp, rabbit, bear, bottle, cockroach, telephone, otter, oak_tree, cattle, television, tulip, beaver, couch, wardrobe, snail, motorcycle, maple_tree, chimpanzee, dolphin, butterfly, table, poppy, bowl, lizard, dinosaur, mouse, clock, streetcar, bus, keyboard, chair, boy, bee, baby, tractor, ray, orchid