Model-J: ResNet Model (model_idx_0434)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 434 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8710 |
| Val Accuracy | 0.8403 |
| Test Accuracy | 0.8400 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
apple, cup, tractor, beaver, can, camel, woman, raccoon, squirrel, butterfly, whale, lamp, flatfish, cloud, chimpanzee, motorcycle, lizard, bridge, tiger, mountain, orchid, road, shrew, maple_tree, poppy, lion, keyboard, leopard, television, tulip, forest, plate, clock, dolphin, castle, chair, elephant, plain, skunk, bee, rocket, boy, trout, couch, skyscraper, sweet_pepper, snake, table, dinosaur, sea
