Model-J ResNet
Collection
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Model-J: ResNet Model (model_idx_0400)
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 | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 400 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9367 |
| Val Accuracy | 0.8795 |
| Test Accuracy | 0.8794 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cockroach, snail, pine_tree, butterfly, bridge, leopard, forest, chimpanzee, beaver, elephant, worm, crocodile, camel, telephone, trout, bee, bowl, streetcar, plain, caterpillar, poppy, lion, bed, rose, beetle, palm_tree, rocket, willow_tree, snake, dolphin, cup, house, spider, tulip, bus, wardrobe, sea, bicycle, motorcycle, man, boy, apple, dinosaur, plate, sunflower, woman, orchid, hamster, lawn_mower, otter
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Base model
microsoft/resnet-101