Fast2Peak: Model Weights and Configurations
This repository hosts the pretrained Fast2Peak (F2P) checkpoint and the ResUNet and SMAE baseline checkpoints used in the project.
| Directory | Weights | Configuration |
|---|---|---|
| F2P | best_checkpoint.pth |
Original config.yaml |
| ResUNet | best_checkpoint.pth |
Original config.yaml |
| SMAE | epoch_300_final.pth |
Reconstructed evaluation-only config.yaml; not an original training configuration |
The uploaded checkpoint files are unchanged. See each directory's README for source paths and usage notes. Download these assets alongside the project code; this is not a standalone Transformers model package.
Layout
Each model should have its own directory under checkpoints/, with the selected .pth file and its adjacent config.yaml. The main pretrained F2P is available under checkpoints/f2p/. SMAE retains its historical checkpoint filename and uses its separate project evaluation entry point. Additional fine-tuned models should use separate, clearly identified directories rather than overwrite the pretrained model.
Related Resources
Inference uses the repository's custom PyTorch implementation, not a Transformers from_pretrained interface. The model card will be completed with the selected checkpoint, training provenance, intended use and evaluation details when weights are uploaded. Manuscript citation and model-weight licensing information are pending. The GitHub code license does not automatically apply to model weights.