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_0506)
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 | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 506 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.3036 |
| Val Accuracy | 0.2805 |
| Test Accuracy | 0.2788 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
kangaroo, telephone, maple_tree, skyscraper, orchid, lawn_mower, wardrobe, crocodile, spider, possum, sweet_pepper, leopard, mountain, woman, dinosaur, skunk, television, forest, man, ray, camel, oak_tree, table, bottle, snake, cockroach, squirrel, girl, motorcycle, tulip, otter, worm, bowl, pine_tree, fox, willow_tree, boy, chair, can, trout, orange, bed, cloud, turtle, road, mouse, tiger, bus, apple, shrew