Model-J: SupViT Model (model_idx_0461)
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 | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 461 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9852 |
| Val Accuracy | 0.9336 |
| Test Accuracy | 0.9320 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rocket, pine_tree, otter, table, bicycle, willow_tree, dinosaur, maple_tree, camel, pear, leopard, lobster, clock, fox, squirrel, beaver, whale, beetle, train, forest, porcupine, lizard, television, orange, sea, shark, woman, telephone, tank, chair, plate, oak_tree, sunflower, caterpillar, plain, trout, sweet_pepper, bear, snail, apple, mushroom, baby, bridge, snake, bowl, rose, couch, flatfish, can, seal
