[engine.callbacks] Be more specific about the type of missing logs

src/mednet/engine/callbacks.py

@@ -255,7 +255,7 @@ class LoggingCallback(lightning.pytorch.Callback):
                 f"interval to a suitable value, so it allows some measures "
                 f"to be performed. Note this is only possible if the time "
                 f"to log a single measurement point is smaller than the "
-                f"time it takes to train a single epoch."
+                f"time it takes to **train** a single epoch."
             )
         else:
             for metric_name, metric_value in aggregate(metrics).items():
@@ -308,7 +308,7 @@ class LoggingCallback(lightning.pytorch.Callback):
                 f"interval to a suitable value, so it allows some measures "
                 f"to be performed. Note this is only possible if the time "
                 f"to log a single measurement point is smaller than the "
-                f"time it takes to train a single epoch."
+                f"time it takes to **validate** a single epoch."
             )
         else:
             for metric_name, metric_value in aggregate(metrics).items():