Model-J ResNet
Collection
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Model-J: ResNet Model (model_idx_0776)
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 | ResNet |
| Split | train |
| Base Model | microsoft/resnet-101 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 776 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9713 |
| Val Accuracy | 0.8864 |
| Test Accuracy | 0.8852 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dinosaur, motorcycle, lobster, television, hamster, oak_tree, maple_tree, wardrobe, keyboard, worm, forest, lion, beaver, chimpanzee, lizard, turtle, plate, butterfly, orchid, tractor, pickup_truck, plain, raccoon, flatfish, bottle, tank, wolf, otter, boy, seal, rocket, trout, elephant, bicycle, can, road, girl, man, rabbit, cockroach, house, snake, woman, ray, willow_tree, train, apple, telephone, tulip, camel
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Base model
microsoft/resnet-101