Downloads ยท 30 days
15
27% of all-time downloads
ProbeX/Model-J__DINO__model_idx_0184
Model-J__DINO__model_idx_0184 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
15
27% of all-time downloads
All-time downloads
55
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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 184 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9922 |
| Val Accuracy | 0.9144 |
| Test Accuracy | 0.9186 |
The model was fine-tuned on the following 50 CIFAR100 classes:
castle, rose, flatfish, rabbit, lizard, whale, sunflower, oak_tree, otter, snake, couch, chair, skunk, forest, skyscraper, bridge, chimpanzee, plate, beetle, pickup_truck, aquarium_fish, butterfly, keyboard, train, cloud, clock, ray, lion, cup, tiger, mountain, hamster, television, mouse, trout, plain, leopard, rocket, bear, porcupine, wardrobe, table, orange, crocodile, bottle, baby, telephone, house, worm, dolphin