Model-J: DINO Model (model_idx_0397)

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 0.0003
LR Scheduler constant
Epochs 2
Max Train Steps 666
Batch Size 64
Weight Decay 0.01
Seed 397
Random Crop False
Random Flip True

Performance

Metric Value
Train Accuracy 0.3265
Val Accuracy 0.2955
Test Accuracy 0.2974

Training Categories

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

dolphin, boy, otter, pickup_truck, orange, whale, motorcycle, tank, ray, skunk, squirrel, cockroach, shark, aquarium_fish, plain, palm_tree, trout, train, maple_tree, television, sweet_pepper, pine_tree, worm, willow_tree, tiger, mountain, elephant, castle, tulip, lizard, raccoon, leopard, lion, skyscraper, rabbit, telephone, turtle, dinosaur, tractor, bear, bus, lobster, oak_tree, lawn_mower, cup, cattle, table, bridge, shrew, sea

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