Model-J: SupViT Model (model_idx_0441)
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
ProbeXModel Details
| Attribute | Value |
|---|
| Subset | SupViT |
| Split | train |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 5e-05 |
| LR Scheduler | constant |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 441 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9951 |
| Val Accuracy | 0.9493 |
| Test Accuracy | 0.9474 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
squirrel, chimpanzee, beaver, streetcar, hamster, dolphin, television, clock, wolf, train, otter, butterfly, bridge, shark, rose, tulip, ray, motorcycle, willow_tree, turtle, seal, spider, worm, bottle, chair, kangaroo, sea, snake, sweet_pepper, rocket, fox, lobster, couch, pickup_truck, bus, trout, pear, tractor, snail, shrew, man, orchid, skunk, mountain, keyboard, bee, apple, lamp, lizard, baby
