Model-J: DINO Model (model_idx_0229)

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

๐ŸŒ Project | ๐Ÿ“ƒ Paper | ๐Ÿ’ป GitHub | ๐Ÿค— Dataset

ProbeX

Model Details

Attribute Value
Subset DINO
Split train
Base Model facebook/dino-vitb16
Dataset CIFAR100 (50 classes)

Training Hyperparameters

Parameter Value
Learning Rate 0.0005
LR Scheduler cosine
Epochs 3
Max Train Steps 999
Batch Size 64
Weight Decay 0.01
Seed 229
Random Crop False
Random Flip False

Performance

Metric Value
Train Accuracy 0.3432
Val Accuracy 0.3061
Test Accuracy 0.2946

Training Categories

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

skunk, beaver, lamp, elephant, spider, leopard, possum, ray, orange, rabbit, squirrel, couch, bicycle, apple, dolphin, can, bowl, palm_tree, bed, oak_tree, aquarium_fish, house, telephone, lobster, cup, dinosaur, pickup_truck, girl, shrew, fox, skyscraper, rocket, mouse, maple_tree, poppy, crocodile, bottle, sunflower, turtle, worm, kangaroo, television, flatfish, mountain, boy, chair, seal, tank, willow_tree, butterfly

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