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_0937)
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 | 5e-05 |
| LR Scheduler | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 937 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9880 |
| Val Accuracy | 0.8904 |
| Test Accuracy | 0.8904 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dinosaur, turtle, butterfly, boy, maple_tree, seal, crocodile, camel, tank, shrew, willow_tree, otter, forest, mountain, tiger, lobster, table, snake, cattle, hamster, orange, tulip, plate, can, crab, keyboard, sunflower, chair, pine_tree, woman, girl, wardrobe, bee, rose, apple, plain, bridge, cup, lawn_mower, rocket, flatfish, chimpanzee, caterpillar, road, cockroach, bottle, wolf, pickup_truck, bed, worm