Fixing minor issues

mala-project · Nov 19, 2024 · ae2e0ed · ae2e0ed
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diff --git a/docs/source/advanced_usage/trainingmodel.rst b/docs/source/advanced_usage/trainingmodel.rst
@@ -195,7 +195,7 @@ By default, the same number of snapshots as had been provided will be created
 (if possible).
 
 Logging metrics during training
-******************
+*******************************
 
 Training progress in MALA can be visualized via tensorboard or wandb, as also shown
 in the file ``advanced/ex03_tensor_board``. Simply select a logger prior to training as

diff --git a/mala/common/parameters.py b/mala/common/parameters.py
@@ -713,7 +713,7 @@ class ParametersRunning(ParametersBase):
     validation_metrics : list
         List of metrics to be used for validation. Default is ["ldos"].
         Possible options are:
-            - "ldos": Loss on the LDOS.
+            - "ldos": MSE of the LDOS.
             - "band_energy": Band energy.
             - "band_energy_actual_fe": Band energy computed with ground truth Fermi energy.
             - "total_energy": Total energy.
@@ -743,8 +743,8 @@ class ParametersRunning(ParametersBase):
 
     profiler_range : list
         List with two entries determining with which batch/iteration number
-         the CUDA profiler will start and stop profiling. Please note that
-         this option only holds significance if the nsys profiler is used.
+        the CUDA profiler will start and stop profiling. Please note that
+        this option only holds significance if the nsys profiler is used.
     """
 
     def __init__(self):