Model-J: ResNet Model (model_idx_0416)
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 | 9e-05 |
| LR Scheduler | constant |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 416 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9384 |
| Val Accuracy | 0.8757 |
| Test Accuracy | 0.8708 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tiger, hamster, squirrel, table, fox, shrew, lizard, bed, lamp, clock, chimpanzee, train, otter, rose, man, mushroom, camel, cup, road, rabbit, plain, wolf, bottle, bicycle, streetcar, snail, beaver, elephant, crab, oak_tree, turtle, house, pine_tree, cockroach, bowl, woman, tank, porcupine, mountain, crocodile, maple_tree, apple, beetle, mouse, ray, orange, spider, cloud, can, keyboard
