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_0521)
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 | 0.0001 |
| LR Scheduler | constant |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 521 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9669 |
| Val Accuracy | 0.8536 |
| Test Accuracy | 0.8478 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
skunk, cloud, bear, tulip, motorcycle, shark, man, bed, mountain, orange, clock, wardrobe, pickup_truck, keyboard, rabbit, forest, apple, sunflower, possum, tiger, whale, house, snake, maple_tree, beetle, chimpanzee, seal, ray, bowl, girl, chair, table, tractor, mushroom, caterpillar, rose, castle, spider, rocket, elephant, couch, boy, hamster, train, skyscraper, lobster, beaver, cockroach, orchid, bicycle