Model-J: ResNet Model (model_idx_0621)
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 | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 621 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8665 |
| Val Accuracy | 0.8392 |
| Test Accuracy | 0.8236 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cockroach, girl, hamster, cup, poppy, chair, baby, palm_tree, cattle, man, willow_tree, castle, seal, streetcar, fox, tiger, caterpillar, trout, bed, couch, shrew, otter, bottle, aquarium_fish, rose, shark, leopard, orchid, maple_tree, oak_tree, pine_tree, turtle, tank, rocket, clock, road, bridge, worm, bus, dinosaur, ray, lizard, beetle, crocodile, telephone, bee, lion, cloud, whale, woman
