Model-J ResNet
Collection
1001 items • Updated
Model-J: ResNet Model (model_idx_0173)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | ResNet |
| Split | val |
| Base Model | microsoft/resnet-101 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 173 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8897 |
| Val Accuracy | 0.8645 |
| Test Accuracy | 0.8446 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pine_tree, chimpanzee, squirrel, sea, spider, fox, crab, lizard, bear, mouse, snake, clock, motorcycle, streetcar, palm_tree, forest, orange, tank, willow_tree, cattle, woman, dinosaur, sweet_pepper, lawn_mower, can, mushroom, chair, cockroach, elephant, trout, plate, sunflower, bee, hamster, couch, poppy, whale, bus, man, keyboard, boy, mountain, tiger, shrew, beaver, lion, bottle, beetle, girl, porcupine
- Downloads last month
- 2
Model tree for ProbeX/Model-J__ResNet__model_idx_0173
Base model
microsoft/resnet-101