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_0233)
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 | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 233 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8397 |
| Val Accuracy | 0.5328 |
| Test Accuracy | 0.5474 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lizard, lamp, clock, shrew, bottle, bridge, mouse, butterfly, porcupine, turtle, house, otter, flatfish, motorcycle, bear, seal, sweet_pepper, aquarium_fish, mushroom, orange, snail, bus, palm_tree, rocket, bed, trout, camel, lobster, cloud, girl, lion, table, elephant, sunflower, rabbit, crocodile, telephone, bee, couch, chair, dinosaur, pine_tree, hamster, cockroach, beetle, man, whale, can, bowl, television