Model-J ResNet
Collection
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Model-J: ResNet Model (model_idx_0712)
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 | val |
| Base Model | microsoft/resnet-101 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 712 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9875 |
| Val Accuracy | 0.9133 |
| Test Accuracy | 0.8982 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, bee, woman, pine_tree, butterfly, sweet_pepper, elephant, shark, motorcycle, raccoon, plate, beetle, orange, spider, train, porcupine, cloud, trout, squirrel, fox, shrew, bowl, tractor, tulip, crocodile, snake, couch, cockroach, castle, palm_tree, girl, lamp, oak_tree, pickup_truck, mouse, lobster, rocket, cup, worm, forest, mountain, whale, dinosaur, chair, lizard, sunflower, cattle, hamster, bottle, house
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Base model
microsoft/resnet-101