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_0316)
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 | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 316 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9136 |
| Test Accuracy | 0.9212 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sea, baby, squirrel, skunk, woman, castle, wardrobe, lawn_mower, orchid, mouse, plain, palm_tree, shrew, beaver, flatfish, maple_tree, cloud, keyboard, bridge, streetcar, road, motorcycle, lion, dolphin, cattle, pear, forest, butterfly, sunflower, orange, shark, cockroach, pine_tree, pickup_truck, house, otter, mushroom, rabbit, plate, wolf, sweet_pepper, can, chimpanzee, turtle, ray, aquarium_fish, crab, trout, tractor, crocodile