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_0001)
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 | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 1 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.5753 |
| Val Accuracy | 0.4256 |
| Test Accuracy | 0.4196 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
television, chair, couch, trout, tulip, aquarium_fish, porcupine, cloud, dolphin, kangaroo, apple, bottle, seal, camel, crab, possum, streetcar, bus, bear, maple_tree, tank, shark, turtle, table, lion, clock, dinosaur, pickup_truck, palm_tree, lobster, house, beetle, plain, ray, forest, bridge, skunk, oak_tree, tiger, cockroach, cattle, castle, lamp, mountain, sweet_pepper, willow_tree, baby, elephant, worm, shrew