Model-J: ResNet Model (model_idx_0812)
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 | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 812 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.7512 |
| Val Accuracy | 0.7219 |
| Test Accuracy | 0.7320 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chimpanzee, streetcar, wardrobe, spider, forest, motorcycle, ray, boy, mountain, table, plate, castle, sea, telephone, bus, lion, otter, butterfly, bear, pickup_truck, sweet_pepper, maple_tree, worm, palm_tree, shrew, pear, flatfish, sunflower, apple, bowl, pine_tree, mushroom, television, man, willow_tree, whale, skunk, kangaroo, snake, bed, orchid, plain, tank, beetle, cloud, dinosaur, can, tulip, girl, poppy
