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_0682)
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 | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 682 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.4667 |
| Val Accuracy | 0.3712 |
| Test Accuracy | 0.3872 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
couch, caterpillar, dolphin, man, plate, lobster, spider, crocodile, sweet_pepper, orchid, girl, possum, chair, kangaroo, keyboard, table, beaver, train, baby, clock, leopard, rocket, aquarium_fish, porcupine, elephant, cup, bee, bed, mushroom, plain, pear, bridge, lamp, oak_tree, chimpanzee, crab, worm, butterfly, pine_tree, seal, dinosaur, flatfish, skunk, trout, palm_tree, beetle, sunflower, cattle, snake, skyscraper