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_0147)
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 | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 147 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9776 |
| Val Accuracy | 0.8464 |
| Test Accuracy | 0.8480 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
seal, fox, orange, cup, boy, porcupine, dolphin, lamp, skunk, beetle, telephone, aquarium_fish, train, pine_tree, bowl, orchid, lobster, shrew, oak_tree, mouse, turtle, willow_tree, tiger, mushroom, trout, kangaroo, castle, cloud, possum, girl, squirrel, whale, wardrobe, bottle, maple_tree, hamster, butterfly, lion, tank, snake, pickup_truck, crab, plate, motorcycle, beaver, tractor, sunflower, table, man, woman