Model-J ResNet
Collection
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Model-J: ResNet Model (model_idx_0075)
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 | test |
| Base Model | microsoft/resnet-101 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 7e-05 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 75 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9583 |
| Val Accuracy | 0.8869 |
| Test Accuracy | 0.8812 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
trout, camel, squirrel, boy, chimpanzee, plain, man, girl, lobster, motorcycle, lizard, shrew, woman, mushroom, elephant, cockroach, bicycle, wolf, cattle, fox, crab, bowl, mouse, tank, castle, dinosaur, apple, clock, bed, baby, road, bear, ray, snail, snake, mountain, worm, table, pickup_truck, couch, turtle, streetcar, porcupine, tulip, flatfish, pine_tree, sunflower, rabbit, tractor, aquarium_fish
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Base model
microsoft/resnet-101