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- case14_ieee/seed17/normalizer_stats.pt +3 -0
- case14_ieee/seed3/normalizer_stats.pt +3 -0
- case14_ieee/seed42/normalizer_stats.pt +3 -0
- case500_goc/seed3/best_model_state_dict.pt +3 -0
- case500_goc/seed42/best_model_state_dict.pt +3 -0
- case57_ieee/seed42/best_model_state_dict.pt +3 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/artifacts/stats/case500_goc_scenario_splits.json +0 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/artifacts/stats/normalization_stats.txt +3 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/artifacts/test/case500_goc_RMSE.csv +4 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/artifacts/test/case500_goc_metrics.csv +10 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Learning Rate +0 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Training Loss +0 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation Layered Weighted Physics Loss +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation Masked bus MSE loss +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation Masked generator MSE loss +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation Qg Violation Penalty loss +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_0_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_0_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_10_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_10_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_11_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_11_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_1_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_1_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_2_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_2_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_3_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_3_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_4_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_4_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_5_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_5_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_6_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_6_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_7_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_7_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_8_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_8_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_9_residual +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation layer_9_weight +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation loss +200 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/epoch +0 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/batch_size +1 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/devices +1 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/epochs +1 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/loss_args +1 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/loss_weights +1 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/losses +1 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/strategy +1 -0
- mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/tags/mlflow.runName +1 -0
case14_ieee/seed17/normalizer_stats.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ecea1ef59294ba7527e3d8ffafd42301ebb1da776e1e625f524a057798458d9
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size 2162
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case14_ieee/seed3/normalizer_stats.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ecea1ef59294ba7527e3d8ffafd42301ebb1da776e1e625f524a057798458d9
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size 2162
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case14_ieee/seed42/normalizer_stats.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ecea1ef59294ba7527e3d8ffafd42301ebb1da776e1e625f524a057798458d9
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size 2162
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case500_goc/seed3/best_model_state_dict.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:38e2c283971396523546a2ef9994aae71dcb97c37c20e108a9f0ab008f189d8e
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size 80451091
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case500_goc/seed42/best_model_state_dict.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5667506a7ebf75039ba2f6faa2aecfa19cdbfa6aceb06beb85caf7adfdbaa5e5
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size 80451091
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case57_ieee/seed42/best_model_state_dict.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6947eff4696330e6c3bb1ccd5e6b91f860f5e2743e98eb47715cf04d09a5343c
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size 80451091
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/artifacts/stats/case500_goc_scenario_splits.json
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/artifacts/stats/normalization_stats.txt
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Data Normalizer case500_goc stats:
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{'baseMVA_orig': tensor(100.), 'baseMVA': tensor(178.4670), 'vn_kv_max': tensor(345.)}
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/artifacts/test/case500_goc_RMSE.csv
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Metric,Pg (MW),Qg (MVar),Vm (p.u.),Va (radians)
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RMSE-PQ,0.0,0.0,0.005425293343908949,0.014537043014402066
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RMSE-PV,3.257796253191278,16.149173566618373,0.006299847801699163,0.01408462016090734
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RMSE-REF,2.8805966842626987,149.26410632667185,0.012766568752464924,0.0
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/artifacts/test/case500_goc_metrics.csv
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Metric,Value
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Avg. active res. (MW),0.07679244130849838
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Avg. reactive res. (MVar),0.026449773460626602
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RMSE PG generators (MW),2.4966151210860863
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Mean optimality gap (%),0.25899094343185425
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Mean branch termal violation from (MVA),0.001817281823605299
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Mean branch termal violation to (MVA),0.0018682702211663127
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Mean branch angle difference violation (radians),0.0
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Mean Qg violation PV buses,0.000497671018820256
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Mean Qg violation REF buses,0.0004287902847863734
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Learning Rate
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Training Loss
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation Layered Weighted Physics Loss
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation Masked bus MSE loss
ADDED
|
@@ -0,0 +1,200 @@
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation Masked generator MSE loss
ADDED
|
@@ -0,0 +1,200 @@
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| 1 |
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| 56 |
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/Validation Qg Violation Penalty loss
ADDED
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@@ -0,0 +1,200 @@
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ADDED
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ADDED
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mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/metrics/epoch
ADDED
|
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|
|
|
mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/batch_size
ADDED
|
@@ -0,0 +1 @@
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|
|
|
|
|
|
| 1 |
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16
|
mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/devices
ADDED
|
@@ -0,0 +1 @@
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|
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|
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|
|
| 1 |
+
auto
|
mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/epochs
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
200
|
mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/loss_args
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
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[NestedNamespace(base_weight=0.5), NestedNamespace(), NestedNamespace(), NestedNamespace()]
|
mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/loss_weights
ADDED
|
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|
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[0.1, 0.1, 0.75, 0.001]
|
mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/losses
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
['LayeredWeightedPhysics', 'MaskedGenMSE', 'MaskedBusMSE', 'QgViolationPenalty']
|
mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/params/args/training/strategy
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
auto
|
mlflow/train/case500_goc/seed3/ba0b84d3ffb343689f8b221178fc296a/tags/mlflow.runName
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
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run
|