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license: apache-2.0
tags:
- pytorch
- sid-unet
- image-segmentation
- synthetic-image-detection
- diffusion-detection
pipeline_tag: image-segmentation
library_name: sid-unet
---
# Testing-model
Official repository for **Testing-model** checkpoints, evaluated on AI-generated image detection and segmentation tasks.
## π Available Versions
| Version | Best Metric Score | Best Epoch | Updated |
| :--- | :--- | :--- | :--- |
| `v1` | 0.6 | 1 | 2026-10-28 |
- **Active Version:** `v1`
- **Best Validation Score:** `0.6` (Epoch `1`)
- **Total Training Epochs:** `22`
---
## π Quickstart & Checkpoint Usage
### 1. Pull checkpoints using `sid-pull`
To download the latest checkpoint directly to your local workspace:
```bash
sid-pull --name KhangTruong/Testing-model
```
To pull a specific version:
```bash
sid-pull --name KhangTruong/Testing-model --version v1
```
### 2. Resume or Fine-tune with `sid-train`
Once downloaded, resume training seamlessly:
```bash
sid-train --config configs/experiments/diffusion_diff_minimized/default.yaml --override training.epochs=40
```
Or specify explicit checkpoint path:
```bash
sid-train --resume checkpoints/checkpoint_latest.pt
```
### 3. Push new checkpoints using `sid-push`
```bash
sid-push --name KhangTruong/Testing-model --version v2
```
---
## π Repository Layout
```
KhangTruong/Testing-model/
βββ README.md # Model Card & Documentation
βββ config.yaml # Model & Training Configuration
βββ manifest.json # Catalog of all versions & metrics
βββ checkpoints/ # Active / Latest Checkpoints
β βββ checkpoint_best.pt
β βββ checkpoint_latest.pt
β βββ checkpoint_periodic.pt
βββ reports/ # Evaluation reports & plots
β βββ training_curves.png
β βββ test_evaluation_report.json
βββ versions/ # Version Archive
βββ v1/
βββ checkpoints/
βββ reports/
```
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