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_0502)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 502 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9873 |
| Val Accuracy | 0.9181 |
| Test Accuracy | 0.9190 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
flatfish, sea, palm_tree, bed, mushroom, spider, caterpillar, table, lawn_mower, orange, television, shrew, house, seal, road, plate, cup, leopard, ray, sweet_pepper, wolf, oak_tree, porcupine, willow_tree, elephant, bridge, bottle, forest, possum, skyscraper, shark, telephone, skunk, lobster, snail, can, chair, boy, bee, beetle, pine_tree, snake, clock, apple, streetcar, whale, tiger, dinosaur, turtle, kangaroo