Model-J: ResNet Model (model_idx_0105)
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
ProbeXModel Details
| Attribute | Value |
|---|
| Subset | ResNet |
| Split | train |
| Base Model | microsoft/resnet-101 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 5e-05 |
| LR Scheduler | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 105 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9934 |
| Val Accuracy | 0.8824 |
| Test Accuracy | 0.8798 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
butterfly, snail, wardrobe, chair, bowl, motorcycle, sweet_pepper, dinosaur, keyboard, otter, spider, train, crocodile, lobster, mushroom, lawn_mower, bicycle, man, television, pine_tree, tractor, maple_tree, plate, baby, apple, snake, poppy, leopard, cattle, chimpanzee, castle, wolf, cup, porcupine, pear, woman, lizard, bridge, cockroach, elephant, orchid, lamp, palm_tree, sunflower, boy, willow_tree, aquarium_fish, couch, camel, girl
