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_0007)
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 | cosine_with_restarts |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 7 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9483 |
| Test Accuracy | 0.9428 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rose, camel, sunflower, cattle, tiger, bed, poppy, crocodile, bee, keyboard, orchid, shark, lizard, sweet_pepper, streetcar, butterfly, trout, chair, clock, girl, plate, aquarium_fish, willow_tree, tank, skunk, television, seal, bowl, pickup_truck, bottle, snail, crab, ray, skyscraper, forest, orange, plain, snake, elephant, wolf, dolphin, squirrel, maple_tree, wardrobe, cup, raccoon, pine_tree, lawn_mower, house, man