File size: 1,962 Bytes
be96519 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
---
base_model: microsoft/resnet-101
library_name: transformers
pipeline_tag: image-classification
tags:
- probex
- model-j
- weight-space-learning
---
# Model-J: ResNet Model (model_idx_0795)
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
<p align="center">
🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | 📃 <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | 💻 <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | 🤗 <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
</p>
## Model Details
| Attribute | Value |
|---|---|
| **Subset** | ResNet |
| **Split** | train |
| **Base Model** | `microsoft/resnet-101` |
| **Dataset** | CIFAR100 (50 classes) |
## Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | linear |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 795 |
| Random Crop | False |
| Random Flip | True |
## Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.7569 |
| Val Accuracy | 0.7288 |
| Test Accuracy | 0.7376 |
## Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
`baby`, `plate`, `boy`, `kangaroo`, `flatfish`, `squirrel`, `telephone`, `dinosaur`, `cloud`, `shark`, `raccoon`, `beaver`, `forest`, `bowl`, `butterfly`, `tiger`, `pine_tree`, `otter`, `crab`, `sea`, `hamster`, `bicycle`, `lion`, `orchid`, `skyscraper`, `road`, `snake`, `lizard`, `cattle`, `oak_tree`, `man`, `bridge`, `wardrobe`, `tank`, `rabbit`, `mushroom`, `sunflower`, `couch`, `snail`, `shrew`, `wolf`, `plain`, `bee`, `bed`, `pickup_truck`, `tulip`, `fox`, `mountain`, `seal`, `rocket`
|