Downloads · 30 days
13
23% of all-time downloads
ProbeX/Model-J__MAE__model_idx_0677
Model-J__MAE__model_idx_0677 is a image classification model from ProbeX. Use it when you need a label for an image. It is set up for transformers.
This model is part of the Model-J dataset, introduced in:
Downloads · 30 days
13
23% of all-time downloads
All-time downloads
56
Public
Parameters
85.8M
343 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors343 MB · 100%
From the Hugging Face model README
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
<p align="center"> 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | 📃 <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | 💻 <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | 🤗 <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a> </p>
| Attribute | Value |
|---|---|
| Subset | MAE |
| Split | val |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 677 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.4357 |
| Val Accuracy | 0.3776 |
| Test Accuracy | 0.3874 |
The model was fine-tuned on the following 50 CIFAR100 classes:
worm, ray, train, keyboard, porcupine, lamp, squirrel, girl, tractor, skyscraper, elephant, seal, plate, skunk, apple, snake, table, orange, couch, aquarium_fish, sweet_pepper, lizard, otter, mushroom, turtle, crab, tiger, palm_tree, wolf, leopard, kangaroo, woman, dolphin, road, sunflower, lobster, hamster, clock, chimpanzee, pear, dinosaur, cockroach, camel, mouse, poppy, man, wardrobe, bus, baby, telephone