GTN Base V3 Cleaned Surrogate
This repository contains the gtn-base-v3 cleaned GTN surrogate checkpoint used in the shared_energy experiments.
Files
gtn_surrogate_model.pt: PyTorch checkpoint.manifest.json: training/evaluation metadata.training_history.jsonl: per-epoch training and validation history.validation_predictions.jsonl: validation split predictions.test_predictions.jsonl: test split predictions.
Model
- Canonical class:
shared_energy.gtn_surrogate.GTNSurrogateModel - Role: GTN surrogate for cleaned power-topology simulation data.
- Targets:
efficiency,vout - Loss: relative squared error (
rse)
Training Data
- Dataset type: JSONL
- Sample count: 57,024
- Split mode: random
- Train rows: 45,619
- Validation rows: 5,702
- Test rows: 5,702
Training Summary
- Completed epochs: 545
- Stopped early: true
- Best epoch: 465
- Best validation RSE mean: 0.0119547601
- Final validation RSE:
- efficiency: 0.0030197722
- vout: 0.0208897479
- Final test RSE:
- efficiency: 0.0031667461
- vout: 0.0198842511
Notes
This is a research artifact for the shared_energy power-topology workflow. Use it together with the repository code that defines shared_energy.gtn_surrogate.GTNSurrogateModel.