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_0824)
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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 824 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9872 |
| Val Accuracy | 0.9307 |
| Test Accuracy | 0.9320 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
spider, bottle, castle, caterpillar, girl, palm_tree, wardrobe, man, orange, snake, crab, lawn_mower, bed, bridge, butterfly, baby, lizard, motorcycle, keyboard, bear, plate, bowl, dinosaur, cloud, trout, whale, shark, mushroom, clock, pine_tree, raccoon, tiger, apple, plain, bicycle, tractor, sea, porcupine, pear, bus, crocodile, television, fox, lamp, skyscraper, maple_tree, telephone, skunk, turtle, sunflower