Downloads ยท 30 days
7
15% of all-time downloads
ProbeX/Model-J__MAE__model_idx_0458
Model-J__MAE__model_idx_0458 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 ยท 30 days
7
15% of all-time downloads
All-time downloads
48
Public
Parameters
85.8M
343 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors343 MB ยท 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"> ๐ <a href="https://horwitz.ai/probex" target="_blank">Project</a> | ๐ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | ๐ป <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | ๐ค <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_with_restarts |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 458 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.8347 |
| Val Accuracy | 0.5301 |
| Test Accuracy | 0.5398 |
The model was fine-tuned on the following 50 CIFAR100 classes:
seal, chair, crab, telephone, keyboard, aquarium_fish, cloud, streetcar, house, boy, worm, rose, willow_tree, sunflower, bed, mouse, rocket, beetle, shrew, whale, otter, orchid, hamster, pickup_truck, poppy, baby, train, dinosaur, dolphin, cattle, elephant, camel, castle, possum, butterfly, spider, tank, woman, clock, sea, tractor, couch, motorcycle, lizard, palm_tree, bear, bus, girl, shark, porcupine