feat(release): final training report and checkpoints for KhangTruong/Testing-model (v1)

1d7c979 verified 7 days ago

2.02 kB

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.

📌 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

🚀 Quickstart & Checkpoint Usage

1. Pull checkpoints using `sid-pull`

To download the latest checkpoint directly to your local workspace:

sid-pull --name KhangTruong/Testing-model

To pull a specific version:

sid-pull --name KhangTruong/Testing-model --version v1

2. Resume or Fine-tune with `sid-train`

Once downloaded, resume training seamlessly:

sid-train --config configs/experiments/diffusion_diff_minimized/default.yaml --override training.epochs=40

Or specify explicit checkpoint path:

sid-train --resume checkpoints/checkpoint_latest.pt

3. Push new checkpoints using `sid-push`

sid-push --name KhangTruong/Testing-model --version v2

📂 Repository Layout

KhangTruong/Testing-model/
├── README.md               # Model Card & Documentation
├── config.yaml             # Model & Training Configuration
├── manifest.json           # Catalog of all versions & metrics
├── checkpoints/            # Active / Latest Checkpoints
│   ├── checkpoint_best.pt
│   ├── checkpoint_latest.pt
│   └── checkpoint_periodic.pt
├── reports/                # Evaluation reports & plots
│   ├── training_curves.png
│   └── test_evaluation_report.json
└── versions/               # Version Archive
    └── v1/
        ├── checkpoints/
        └── reports/