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_0473)
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 | cosine_with_restarts |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 473 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9992 |
| Val Accuracy | 0.9192 |
| Test Accuracy | 0.9174 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tank, cup, pickup_truck, aquarium_fish, streetcar, willow_tree, crocodile, forest, bottle, cockroach, tulip, house, trout, tiger, couch, pine_tree, rose, turtle, squirrel, porcupine, beaver, bed, raccoon, snail, rabbit, skunk, dinosaur, beetle, baby, road, caterpillar, maple_tree, dolphin, sweet_pepper, clock, worm, keyboard, shark, spider, bicycle, bus, motorcycle, can, whale, lobster, skyscraper, plate, lawn_mower, flatfish, palm_tree