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_0000)
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 | 0.0001 |
| LR Scheduler | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 0 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9243 |
| Val Accuracy | 0.8181 |
| Test Accuracy | 0.8134 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
beetle, tulip, skyscraper, house, bed, train, pickup_truck, sweet_pepper, tractor, rocket, sea, pine_tree, television, plate, castle, seal, couch, chimpanzee, turtle, forest, wolf, pear, dinosaur, worm, man, telephone, crab, oak_tree, kangaroo, bus, mountain, bicycle, lamp, beaver, porcupine, willow_tree, snail, otter, mouse, wardrobe, possum, orange, tiger, elephant, woman, poppy, aquarium_fish, crocodile, leopard, rabbit