metadata
base_model: microsoft/resnet-101
library_name: transformers
pipeline_tag: image-classification
tags:
- probex
- model-j
- weight-space-learning
Model-J: ResNet Model (model_idx_0152)
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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 152 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9458 |
| Val Accuracy | 0.8867 |
| Test Accuracy | 0.8776 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bed, maple_tree, castle, bee, plate, dinosaur, bottle, leopard, kangaroo, rose, lobster, willow_tree, chair, seal, skunk, sea, rocket, cockroach, man, keyboard, sweet_pepper, pickup_truck, television, house, flatfish, mountain, chimpanzee, bear, girl, snail, bridge, train, whale, pear, beaver, otter, motorcycle, butterfly, cattle, road, cup, trout, bowl, cloud, lamp, sunflower, turtle, bicycle, mushroom, shark