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_0565)
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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 565 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9560 |
| Val Accuracy | 0.8664 |
| Test Accuracy | 0.8590 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
leopard, woman, house, apple, table, porcupine, lizard, orange, telephone, motorcycle, road, train, mountain, wolf, spider, bed, lawn_mower, can, pine_tree, beaver, sea, lion, elephant, chimpanzee, otter, bicycle, bowl, streetcar, orchid, caterpillar, kangaroo, cloud, lobster, couch, bottle, shark, pear, television, cockroach, plate, tank, sunflower, fox, forest, mouse, oak_tree, bear, maple_tree, girl, tiger