Model-J SupViT
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Model-J: SupViT Model (model_idx_0260)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | SupViT |
| Split | val |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 5e-05 |
| LR Scheduler | linear |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 260 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9848 |
| Val Accuracy | 0.9480 |
| Test Accuracy | 0.9478 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lion, beaver, flatfish, dolphin, camel, fox, chimpanzee, shrew, worm, sea, can, tank, bridge, raccoon, rose, motorcycle, wardrobe, tulip, cockroach, plain, kangaroo, bed, table, elephant, rabbit, couch, orange, mushroom, crab, woman, streetcar, bottle, snail, snake, pine_tree, bus, poppy, seal, cloud, beetle, bicycle, keyboard, turtle, boy, skunk, butterfly, pickup_truck, leopard, spider, bee
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google/vit-base-patch16-224