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_0524)
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 | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 524 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9371 |
| Test Accuracy | 0.9416 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
motorcycle, sea, bridge, shrew, porcupine, elephant, plate, beetle, skunk, lizard, bottle, wolf, telephone, road, tank, hamster, otter, clock, mouse, bed, lawn_mower, poppy, orange, keyboard, chimpanzee, bear, butterfly, tractor, snake, rabbit, apple, dolphin, lamp, caterpillar, camel, whale, snail, spider, aquarium_fish, table, possum, boy, pear, girl, bee, skyscraper, bicycle, lion, pine_tree, chair