Model-J ResNet
Collection
1001 items • Updated
Model-J: ResNet Model (model_idx_0567)
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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 567 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8058 |
| Val Accuracy | 0.7832 |
| Test Accuracy | 0.7706 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
keyboard, aquarium_fish, bridge, leopard, elephant, palm_tree, crocodile, road, pear, lawn_mower, house, tractor, wolf, pickup_truck, lizard, baby, mushroom, oak_tree, possum, caterpillar, hamster, kangaroo, mouse, plate, ray, shrew, castle, bee, whale, porcupine, worm, bicycle, fox, boy, shark, tank, apple, camel, sunflower, poppy, dolphin, seal, raccoon, rose, motorcycle, willow_tree, forest, chair, bear, turtle
- Downloads last month
- 16
Model tree for ProbeX/Model-J__ResNet__model_idx_0567
Base model
microsoft/resnet-101