Model-J: ResNet Model (model_idx_1000)
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 | 0.0001 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 1000 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8717 |
| Val Accuracy | 0.8293 |
| Test Accuracy | 0.8326 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cockroach, apple, lizard, bee, rose, leopard, worm, shrew, bus, train, squirrel, palm_tree, pine_tree, whale, dolphin, tulip, road, bottle, flatfish, plate, kangaroo, seal, can, woman, plain, sweet_pepper, mouse, willow_tree, telephone, orange, ray, caterpillar, hamster, fox, pear, tractor, bowl, orchid, house, mountain, beetle, raccoon, baby, table, keyboard, bicycle, cattle, pickup_truck, turtle, snail
