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_0420)
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 | 9e-05 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 420 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9088 |
| Test Accuracy | 0.9106 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mouse, lobster, sea, worm, flatfish, bed, spider, wardrobe, hamster, possum, tank, shark, plate, cloud, seal, caterpillar, leopard, can, mountain, raccoon, baby, oak_tree, snake, beetle, elephant, aquarium_fish, turtle, bus, ray, cattle, camel, squirrel, telephone, rabbit, train, kangaroo, beaver, pear, fox, bridge, clock, keyboard, television, boy, girl, pine_tree, skunk, bear, bicycle, woman