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_0179)
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 | 0.0003 |
| LR Scheduler | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 179 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.7624 |
| Val Accuracy | 0.4453 |
| Test Accuracy | 0.4566 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tulip, rocket, sweet_pepper, mouse, shrew, man, turtle, apple, road, dolphin, plate, cloud, worm, tractor, train, cockroach, ray, streetcar, bottle, pickup_truck, wolf, crab, tank, snail, rabbit, shark, seal, bus, bicycle, dinosaur, keyboard, palm_tree, lamp, rose, boy, kangaroo, woman, couch, maple_tree, orchid, motorcycle, beetle, lion, girl, spider, lobster, butterfly, can, television, bed