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_0840)
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 | 0.0001 |
| LR Scheduler | constant |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 840 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9356 |
| Val Accuracy | 0.8125 |
| Test Accuracy | 0.8206 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cattle, worm, maple_tree, motorcycle, orchid, trout, tank, spider, apple, table, oak_tree, ray, wardrobe, snake, dolphin, willow_tree, castle, tulip, wolf, mushroom, pear, bed, turtle, lamp, lizard, lobster, television, house, chair, couch, fox, porcupine, pine_tree, man, crab, aquarium_fish, rabbit, bear, beaver, shark, girl, road, baby, otter, flatfish, elephant, sea, snail, bridge, camel