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_0697)
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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 697 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9977 |
| Val Accuracy | 0.9256 |
| Test Accuracy | 0.9232 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dolphin, sunflower, bus, road, cockroach, can, sweet_pepper, trout, rabbit, train, bee, skyscraper, chimpanzee, rocket, orange, flatfish, squirrel, spider, forest, telephone, dinosaur, whale, keyboard, crocodile, worm, tractor, tiger, cup, table, skunk, girl, rose, raccoon, mushroom, castle, bowl, tulip, couch, leopard, baby, seal, cattle, bottle, snake, plain, elephant, tank, man, mountain, bear