Model-J: DINO Model (model_idx_0363)

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 test
Base Model facebook/dino-vitb16
Dataset CIFAR100 (50 classes)

Training Hyperparameters

Parameter Value
Learning Rate 5e-05
LR Scheduler constant
Epochs 2
Max Train Steps 666
Batch Size 64
Weight Decay 0.01
Seed 363
Random Crop False
Random Flip False

Performance

Metric Value
Train Accuracy 0.9791
Val Accuracy 0.8907
Test Accuracy 0.8968

Training Categories

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

train, camel, lobster, mushroom, beetle, tractor, dinosaur, snake, flatfish, elephant, trout, motorcycle, wolf, couch, sea, possum, rabbit, bottle, bridge, seal, chimpanzee, mountain, aquarium_fish, snail, lizard, otter, clock, baby, can, house, leopard, orange, cattle, worm, pickup_truck, telephone, lion, raccoon, road, ray, whale, maple_tree, wardrobe, fox, porcupine, cloud, chair, pine_tree, sweet_pepper, kangaroo

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