Model-J: ResNet Model (model_idx_0345)
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 | test |
| Base Model | microsoft/resnet-101 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 5e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 345 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9231 |
| Val Accuracy | 0.8677 |
| Test Accuracy | 0.8636 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
can, man, cockroach, shrew, lamp, skyscraper, chimpanzee, raccoon, chair, butterfly, rocket, mushroom, keyboard, bed, telephone, forest, poppy, wardrobe, aquarium_fish, lizard, rabbit, bowl, snake, caterpillar, wolf, boy, bear, fox, possum, apple, otter, lobster, flatfish, girl, palm_tree, seal, crab, pickup_truck, lawn_mower, baby, bus, streetcar, trout, house, motorcycle, mouse, tractor, snail, table, cattle
