| base_model: microsoft/resnet-101 | |
| library_name: transformers | |
| pipeline_tag: image-classification | |
| tags: | |
| - probex | |
| - model-j | |
| - weight-space-learning | |
| # Model-J: ResNet Model (model_idx_0702) | |
| 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"> | |
| π <a href="https://horwitz.ai/probex" target="_blank">Project</a> | π <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | π» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | π€ <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a> | |
| </p> | |
|  | |
| ## Model Details | |
| | Attribute | Value | | |
| |---|---| | |
| | **Subset** | ResNet | | |
| | **Split** | train | | |
| | **Base Model** | `microsoft/resnet-101` | | |
| | **Dataset** | CIFAR100 (50 classes) | | |
| ## Training Hyperparameters | |
| | Parameter | Value | | |
| |---|---| | |
| | Learning Rate | 7e-05 | | |
| | LR Scheduler | constant_with_warmup | | |
| | Epochs | 5 | | |
| | Max Train Steps | 1665 | | |
| | Batch Size | 64 | | |
| | Weight Decay | 0.01 | | |
| | Seed | 702 | | |
| | Random Crop | True | | |
| | Random Flip | False | | |
| ## Performance | |
| | Metric | Value | | |
| |---|---| | |
| | Train Accuracy | 0.9379 | | |
| | Val Accuracy | 0.8683 | | |
| | Test Accuracy | 0.8688 | | |
| ## Training Categories | |
| The model was fine-tuned on the following 50 CIFAR100 classes: | |
| `baby`, `can`, `palm_tree`, `whale`, `kangaroo`, `wardrobe`, `crocodile`, `pickup_truck`, `beetle`, `cup`, `spider`, `man`, `chimpanzee`, `table`, `cattle`, `dinosaur`, `rocket`, `streetcar`, `girl`, `bed`, `otter`, `woman`, `boy`, `television`, `snake`, `wolf`, `flatfish`, `bridge`, `castle`, `lion`, `snail`, `bottle`, `couch`, `telephone`, `cockroach`, `ray`, `forest`, `sunflower`, `trout`, `camel`, `squirrel`, `rabbit`, `worm`, `orchid`, `shark`, `aquarium_fish`, `tiger`, `chair`, `bee`, `road` | |