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_0003)
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 | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 3 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9992 |
| Val Accuracy | 0.9064 |
| Test Accuracy | 0.9042 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
camel, can, bowl, motorcycle, man, crab, cup, elephant, streetcar, skyscraper, keyboard, bee, table, wolf, beaver, shark, road, mushroom, pear, sea, beetle, whale, television, flatfish, woman, tractor, telephone, sweet_pepper, skunk, plate, castle, poppy, bridge, pine_tree, plain, rose, ray, mouse, forest, girl, cattle, pickup_truck, porcupine, boy, raccoon, seal, bus, oak_tree, lobster, shrew