ProbeX/Model-J__ResNet__model_idx_0001

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