Model-J ResNet
Collection
1001 items • Updated
Model-J: ResNet Model (model_idx_0817)
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 | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 817 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9456 |
| Val Accuracy | 0.8859 |
| Test Accuracy | 0.8766 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cattle, orchid, fox, beaver, train, bus, wolf, motorcycle, tulip, couch, lion, shark, keyboard, bowl, palm_tree, pear, maple_tree, dinosaur, road, bear, caterpillar, skyscraper, table, streetcar, porcupine, butterfly, otter, apple, whale, pickup_truck, can, hamster, sweet_pepper, bed, baby, cloud, plate, sunflower, oak_tree, lizard, chair, flatfish, bicycle, trout, girl, bridge, aquarium_fish, possum, mouse, lawn_mower
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Base model
microsoft/resnet-101