| 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_0585) | |
| 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 | |
| <p align="center"> | |
| 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | 📃 <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | 💻 <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | 🤗 <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a> | |
| </p> | |
|  | |
| ## Model Details | |
| | Attribute | Value | | |
| |---|---| | |
| | **Subset** | DINO | | |
| | **Split** | val | | |
| | **Base Model** | `facebook/dino-vitb16` | | |
| | **Dataset** | CIFAR100 (50 classes) | | |
| ## Training Hyperparameters | |
| | Parameter | Value | | |
| |---|---| | |
| | Learning Rate | 7e-05 | | |
| | LR Scheduler | constant_with_warmup | | |
| | Epochs | 6 | | |
| | Max Train Steps | 1998 | | |
| | Batch Size | 64 | | |
| | Weight Decay | 0.03 | | |
| | Seed | 585 | | |
| | Random Crop | True | | |
| | Random Flip | False | | |
| ## Performance | |
| | Metric | Value | | |
| |---|---| | |
| | Train Accuracy | 0.9719 | | |
| | Val Accuracy | 0.8701 | | |
| | Test Accuracy | 0.8764 | | |
| ## Training Categories | |
| The model was fine-tuned on the following 50 CIFAR100 classes: | |
| `tank`, `cockroach`, `trout`, `wolf`, `streetcar`, `lizard`, `tractor`, `camel`, `leopard`, `skyscraper`, `mushroom`, `pine_tree`, `whale`, `skunk`, `crab`, `apple`, `seal`, `raccoon`, `bicycle`, `road`, `couch`, `possum`, `lawn_mower`, `forest`, `mountain`, `dinosaur`, `palm_tree`, `castle`, `porcupine`, `train`, `ray`, `chimpanzee`, `baby`, `bus`, `sweet_pepper`, `kangaroo`, `wardrobe`, `shrew`, `elephant`, `butterfly`, `motorcycle`, `maple_tree`, `rocket`, `fox`, `crocodile`, `cup`, `shark`, `snail`, `spider`, `tulip` | |