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_0001)
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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 1 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9128 |
| Val Accuracy | 0.8624 |
| Test Accuracy | 0.8592 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
aquarium_fish, chimpanzee, orchid, skyscraper, orange, bridge, tulip, possum, road, ray, telephone, caterpillar, lobster, squirrel, trout, beaver, man, crab, porcupine, lion, mountain, hamster, woman, dinosaur, turtle, otter, tank, willow_tree, snail, tiger, house, train, beetle, clock, butterfly, bus, shrew, lizard, sea, bed, bicycle, pear, bee, chair, bottle, can, couch, lawn_mower, girl, wardrobe