Downloads ยท 30 days
13
16% of all-time downloads
ProbeX/Model-J__DINO__model_idx_0586
Model-J__DINO__model_idx_0586 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
13
16% of all-time downloads
All-time downloads
83
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 | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | constant |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 586 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9553 |
| Val Accuracy | 0.8581 |
| Test Accuracy | 0.8432 |
The model was fine-tuned on the following 50 CIFAR100 classes:
shark, table, motorcycle, skyscraper, mouse, baby, cup, wardrobe, pickup_truck, chimpanzee, bottle, tulip, elephant, apple, bowl, lion, lobster, raccoon, bed, skunk, aquarium_fish, rabbit, snail, train, mountain, tiger, dinosaur, willow_tree, rose, flatfish, lamp, cockroach, crab, keyboard, otter, maple_tree, cattle, turtle, whale, possum, bear, sunflower, mushroom, sea, woman, plain, poppy, shrew, bee, orchid