Model-J ResNet
Collection
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Model-J: ResNet Model (model_idx_0619)
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 | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 619 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.6468 |
| Val Accuracy | 0.6309 |
| Test Accuracy | 0.6316 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
plain, telephone, bottle, chimpanzee, train, snail, girl, motorcycle, woman, palm_tree, television, streetcar, cloud, tractor, porcupine, wolf, beetle, caterpillar, bicycle, bridge, castle, mushroom, baby, leopard, pine_tree, plate, beaver, pear, mountain, chair, rabbit, kangaroo, rocket, butterfly, shrew, pickup_truck, camel, lion, shark, raccoon, bee, keyboard, sunflower, possum, couch, flatfish, turtle, boy, otter, bus
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Base model
microsoft/resnet-101