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_0192)
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 | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 192 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9981 |
| Val Accuracy | 0.9299 |
| Test Accuracy | 0.9270 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
road, lamp, castle, motorcycle, pine_tree, chimpanzee, television, dinosaur, camel, caterpillar, orchid, girl, chair, lawn_mower, baby, cup, streetcar, sunflower, butterfly, turtle, snake, rocket, aquarium_fish, hamster, mountain, bridge, pear, couch, porcupine, whale, cockroach, plate, squirrel, mouse, snail, oak_tree, skunk, tractor, palm_tree, bed, lizard, orange, sweet_pepper, boy, house, plain, worm, poppy, otter, maple_tree