Model-J: DINO Model (model_idx_0002)

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 linear
Epochs 2
Max Train Steps 666
Batch Size 64
Weight Decay 0.007
Seed 2
Random Crop True
Random Flip False

Performance

Metric Value
Train Accuracy 0.2574
Val Accuracy 0.2376
Test Accuracy 0.2394

Training Categories

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

whale, aquarium_fish, lawn_mower, lizard, clock, otter, squirrel, cattle, couch, bear, crab, pear, bed, chair, turtle, shark, tank, possum, shrew, motorcycle, mushroom, kangaroo, beaver, plain, man, lamp, streetcar, lion, table, train, crocodile, snake, keyboard, rabbit, worm, spider, fox, telephone, mouse, hamster, forest, chimpanzee, rocket, girl, road, ray, tiger, bee, flatfish, willow_tree

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