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_0347)
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 | 0.0003 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 347 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.5064 |
| Val Accuracy | 0.4251 |
| Test Accuracy | 0.4472 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bicycle, wardrobe, castle, bed, cloud, lobster, spider, plate, shrew, palm_tree, rabbit, beetle, streetcar, fox, bottle, orange, sea, otter, porcupine, cockroach, snake, bee, tank, road, worm, elephant, tiger, lawn_mower, motorcycle, caterpillar, flatfish, bowl, can, boy, tulip, table, chimpanzee, mouse, oak_tree, sunflower, bus, couch, clock, television, plain, seal, tractor, trout, girl, chair