ProbeX/Model-J__ResNet__model_idx_0007

Model-J: ResNet Model (model_idx_0007)

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	cosine_with_restarts
Epochs	6
Max Train Steps	1998
Batch Size	64
Weight Decay	0.01
Seed	7
Random Crop	True
Random Flip	True

Performance

Metric	Value
Train Accuracy	0.8574
Val Accuracy	0.8221
Test Accuracy	0.8192

Training Categories

The model was fine-tuned on the following 50 CIFAR100 classes:

mushroom, dinosaur, possum, cup, elephant, sunflower, can, mountain, lizard, seal, bicycle, woman, bee, cockroach, butterfly, flatfish, shrew, oak_tree, turtle, pickup_truck, streetcar, orange, bear, television, porcupine, fox, trout, snake, skyscraper, bus, rocket, pear, spider, ray, sweet_pepper, baby, poppy, caterpillar, chimpanzee, maple_tree, sea, beaver, aquarium_fish, couch, road, plate, tiger, wolf, hamster, camel