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_0663)
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 | 3e-05 |
| LR Scheduler | constant |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 663 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9842 |
| Val Accuracy | 0.9024 |
| Test Accuracy | 0.9018 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
snake, bowl, porcupine, boy, sunflower, beaver, camel, maple_tree, bee, tank, poppy, fox, palm_tree, crocodile, lamp, whale, seal, chimpanzee, plate, girl, rabbit, woman, bear, motorcycle, trout, elephant, skyscraper, cattle, turtle, dinosaur, skunk, lizard, train, orange, clock, streetcar, caterpillar, plain, bus, spider, possum, rocket, pear, tractor, tiger, tulip, forest, butterfly, wardrobe, lawn_mower