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_0444)
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 | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 444 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9987 |
| Val Accuracy | 0.9283 |
| Test Accuracy | 0.9322 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
hamster, castle, clock, bowl, house, telephone, orchid, shark, spider, couch, chair, skyscraper, pear, bicycle, worm, road, can, cloud, trout, sunflower, turtle, table, rabbit, lobster, dolphin, fox, ray, baby, sea, leopard, woman, beetle, kangaroo, motorcycle, oak_tree, plate, porcupine, possum, mushroom, rose, snake, aquarium_fish, chimpanzee, plain, tank, wardrobe, orange, lamp, palm_tree, poppy