Model-J: ResNet Model (model_idx_0829)
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 | 0.0003 |
| LR Scheduler | linear |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 829 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8831 |
| Val Accuracy | 0.8296 |
| Test Accuracy | 0.8440 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
hamster, pine_tree, motorcycle, apple, lawn_mower, man, bee, maple_tree, tulip, seal, telephone, whale, willow_tree, cup, pear, lizard, ray, spider, clock, rabbit, pickup_truck, cloud, raccoon, bed, sea, tractor, lion, plate, crab, mountain, beaver, orchid, plain, shark, girl, cockroach, wolf, baby, beetle, snail, table, bear, chair, trout, boy, mouse, mushroom, sunflower, chimpanzee, poppy
