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_0845)
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 | 0.0003 |
| LR Scheduler | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 845 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.5602 |
| Val Accuracy | 0.4619 |
| Test Accuracy | 0.4668 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chimpanzee, possum, cockroach, palm_tree, keyboard, woman, train, castle, raccoon, baby, clock, mushroom, butterfly, beaver, beetle, cattle, tractor, lobster, sunflower, poppy, mouse, kangaroo, plain, tulip, road, crocodile, squirrel, chair, orchid, wardrobe, television, can, bicycle, fox, leopard, orange, shrew, apple, telephone, bridge, streetcar, snail, wolf, worm, tank, maple_tree, dinosaur, porcupine, lawn_mower, aquarium_fish