Downloads ยท 30 days
10
19% of all-time downloads
ProbeX/Model-J__MAE__model_idx_0789
Model-J__MAE__model_idx_0789 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
10
19% of all-time downloads
All-time downloads
53
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 | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 789 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9547 |
| Val Accuracy | 0.8760 |
| Test Accuracy | 0.8716 |
The model was fine-tuned on the following 50 CIFAR100 classes:
cloud, orchid, table, pickup_truck, mountain, rocket, snake, ray, mushroom, bottle, plate, chair, crab, plain, dolphin, pear, castle, flatfish, couch, lamp, wolf, sunflower, otter, lion, whale, tiger, chimpanzee, maple_tree, woman, palm_tree, streetcar, butterfly, tulip, baby, camel, dinosaur, porcupine, fox, cockroach, bed, elephant, bear, snail, kangaroo, squirrel, spider, girl, tank, apple, man