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---
base_model: facebook/dino-vitb16
library_name: transformers
pipeline_tag: image-classification
tags:
- probex
- model-j
- weight-space-learning
---
# Model-J: DINO Model (model_idx_0369)
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> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
</p>
![ProbeX](https://raw.githubusercontent.com/eliahuhorwitz/ProbeX/main/imgs/poster.png)
## Model Details
| Attribute | Value |
|---|---|
| **Subset** | DINO |
| **Split** | train |
| **Base Model** | `facebook/dino-vitb16` |
| **Dataset** | CIFAR100 (50 classes) |
## Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 369 |
| Random Crop | True |
| Random Flip | False |
## Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9709 |
| Val Accuracy | 0.8469 |
| Test Accuracy | 0.8478 |
## Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
`shark`, `dinosaur`, `tank`, `cattle`, `bear`, `caterpillar`, `boy`, `poppy`, `plain`, `sweet_pepper`, `turtle`, `lizard`, `mouse`, `bed`, `camel`, `beaver`, `table`, `aquarium_fish`, `crocodile`, `bottle`, `orange`, `ray`, `motorcycle`, `pine_tree`, `lobster`, `train`, `lawn_mower`, `telephone`, `bee`, `forest`, `otter`, `apple`, `mushroom`, `tulip`, `woman`, `chair`, `hamster`, `lion`, `bus`, `fox`, `house`, `palm_tree`, `skyscraper`, `can`, `wardrobe`, `man`, `rabbit`, `pear`, `whale`, `butterfly`