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_0199)
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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 7e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 199 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9275 |
| Test Accuracy | 0.9156 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
caterpillar, dinosaur, keyboard, cup, hamster, telephone, apple, cockroach, shrew, pickup_truck, raccoon, mouse, forest, baby, lobster, girl, orange, cloud, oak_tree, bee, turtle, orchid, worm, castle, pine_tree, dolphin, crab, bed, palm_tree, poppy, kangaroo, bus, skunk, elephant, tractor, butterfly, maple_tree, possum, bottle, skyscraper, fox, aquarium_fish, snail, beetle, willow_tree, couch, rabbit, television, porcupine, tiger