Model-J ResNet
Collection
1001 items • Updated
Model-J: ResNet Model (model_idx_0351)
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 | train |
| Base Model | microsoft/resnet-101 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 351 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9980 |
| Val Accuracy | 0.8912 |
| Test Accuracy | 0.8932 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bowl, cup, maple_tree, sea, tractor, seal, table, streetcar, lobster, motorcycle, aquarium_fish, sweet_pepper, girl, spider, otter, poppy, wardrobe, telephone, tulip, man, worm, keyboard, beaver, camel, beetle, plate, possum, lion, rose, baby, fox, snake, bus, lamp, train, shrew, bridge, forest, crab, hamster, lawn_mower, squirrel, whale, snail, flatfish, rabbit, television, ray, cattle, kangaroo
- Downloads last month
- 2
Model tree for ProbeX/Model-J__ResNet__model_idx_0351
Base model
microsoft/resnet-101