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_0965)
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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 965 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9323 |
| Test Accuracy | 0.9284 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
flatfish, lobster, pine_tree, bridge, snake, crab, caterpillar, pickup_truck, skyscraper, lizard, orange, lawn_mower, road, sweet_pepper, chimpanzee, cup, leopard, wardrobe, maple_tree, possum, bus, snail, willow_tree, mountain, orchid, whale, skunk, hamster, porcupine, rabbit, apple, dolphin, cattle, couch, castle, oak_tree, plate, telephone, spider, worm, streetcar, table, pear, lamp, cockroach, man, sea, dinosaur, raccoon, poppy