metadata
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_0421)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 421 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9995 |
| Val Accuracy | 0.9240 |
| Test Accuracy | 0.9248 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
turtle, trout, dolphin, snail, bicycle, whale, telephone, leopard, elephant, caterpillar, kangaroo, shrew, lawn_mower, fox, sweet_pepper, keyboard, motorcycle, shark, cattle, tulip, butterfly, forest, rabbit, baby, possum, cockroach, palm_tree, chimpanzee, skunk, train, bear, bee, crocodile, worm, mouse, mushroom, beaver, raccoon, lion, pickup_truck, pine_tree, mountain, dinosaur, can, tiger, ray, skyscraper, apple, sunflower, lamp