Model-J ResNet
Collection
1001 items • Updated
Model-J: ResNet Model (model_idx_0141)
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 | 7e-05 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 141 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9520 |
| Val Accuracy | 0.8725 |
| Test Accuracy | 0.8800 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
keyboard, ray, snake, sunflower, plate, cup, orange, seal, bowl, cattle, cockroach, oak_tree, bottle, tractor, house, tiger, skunk, telephone, orchid, train, tulip, turtle, whale, bicycle, tank, crab, skyscraper, wardrobe, squirrel, couch, mushroom, butterfly, bus, boy, sea, mouse, bridge, flatfish, mountain, plain, clock, apple, wolf, dinosaur, dolphin, shark, otter, elephant, raccoon, leopard
- Downloads last month
- 2
Model tree for ProbeX/Model-J__ResNet__model_idx_0141
Base model
microsoft/resnet-101