| callbacks: | |
| patience: 100 | |
| tol: 0 | |
| data: | |
| baseMVA: 100 | |
| mask_value: 0.0 | |
| networks: | |
| - sundon_33kv | |
| normalization: HeteroDataMVANormalizer | |
| scenarios: | |
| - {N_SCENARIOS} | |
| split_by_load_scenario_idx: false | |
| test_ratio: 1.0 | |
| val_ratio: 0.0 | |
| workers: 4 | |
| split_from_existing_files: {SPLIT_DIR} | |
| model: | |
| attention_head: 8 | |
| edge_dim: 10 | |
| hidden_size: 48 | |
| input_bus_dim: 15 | |
| input_gen_dim: 6 | |
| num_layers: 12 | |
| output_bus_dim: 2 | |
| output_gen_dim: 1 | |
| type: GNS_heterogeneous | |
| optimizer: | |
| beta1: 0.9 | |
| beta2: 0.999 | |
| learning_rate: 0.0005 | |
| lr_decay: 0.7 | |
| lr_patience: 5 | |
| seed: 0 | |
| task: | |
| task_name: PowerFlow | |
| training: | |
| accelerator: auto | |
| batch_size: 64 | |
| devices: auto | |
| epochs: 200 | |
| loss_args: | |
| - base_weight: 0.5 | |
| - {} | |
| loss_weights: | |
| - 0.1 | |
| - 0.9 | |
| losses: | |
| - LayeredWeightedPhysics | |
| - MaskedBusMSE | |
| strategy: auto | |
| verbose: true | |