Model-J: SupViT Model (model_idx_0861)
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 | val |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 861 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9912 |
| Val Accuracy | 0.9301 |
| Test Accuracy | 0.9318 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lobster, lamp, plate, woman, tulip, wardrobe, squirrel, bus, whale, chair, mouse, couch, shrew, table, road, beetle, clock, sea, apple, dolphin, bee, bicycle, lawn_mower, elephant, rocket, butterfly, otter, worm, sweet_pepper, sunflower, skunk, maple_tree, bridge, mountain, snake, tractor, raccoon, tiger, caterpillar, hamster, man, turtle, cattle, spider, lizard, bed, rose, beaver, dinosaur, pickup_truck
