PaTz — Physics-Aware Transformer with eXplainability
● API Offlinepatz_env

Experiment Configuration

HYDRA + MLFLOW

Experiment setup via Hydra configs. All runs tracked in MLflow. Edit hyperparameters in the Hyperparameter Config page.

All Experiment Runs (0)
Run NameStatusVal FmaxVal AUROCLRBatch
How to Run a New Experiment
# Activate environment
conda activate patz_env
# Run with default config
python train_patz.py
# Override hyperparameters via Hydra
python train_patz.py training.batch_size=16 training.lr=5e-5
# Or launch from UI: Model Training → Launch Training