diff --git a/docs/source/guide/calibrators.md b/docs/source/guide/calibrators.md
index e6db0f4f4..617dc94d1 100644
--- a/docs/source/guide/calibrators.md
+++ b/docs/source/guide/calibrators.md
@@ -57,6 +57,19 @@ print(cal.get_cost())
 cal.run()
 ```
 
+## Verbose Log Output
+
+To print results from the experiments the calibrator performs, the `log` parameter can be passed in to the `run` method with either the value of `flat` or `cartesian`. By using the `log` parameter, detailed information about each experiment is printed when the `run` method completes. 
+
+The detailed information can also be generated from the results of the calibrator after `run` is called by calling either {meth}`.log_results_flat` or {meth}`.log_results_cartesian`.
+
+The two options display the information in different formats, though both use a cross (✘) or a check (✔) to signal whether the error mitigation expirement obtained an expectation value better than the non-mitigated one.
+
+```{code-cell} ipython3
+# cal.results.log_results_flat()
+cal.results.log_results_cartesian()
+```
+
 ## Applying the optimal error mitigation strategy
 
 We first define randomized benchmarking circuit to test the effect of error mitigation.
@@ -86,12 +99,10 @@ def execute(circuit, noise_level=0.001):
 cal.execute_with_mitigation(circuit, execute)
 ```
 
-```{code-cell} ipython3
-
-```
-
 ## Tutorial
 
 You can find an example on quantum error mitigation calibration in the **[Examples](../examples/calibration-tutorial.md)** section of the documentation.
 This example illustrates functionalities from the calibration module using ZNE
 on a simulated IBM Quantum backend using Qiskit, defining a new settings object.
+
++++
diff --git a/mitiq/calibration/calibrator.py b/mitiq/calibration/calibrator.py
index 4f81fb6c0..f034d0bc8 100644
--- a/mitiq/calibration/calibrator.py
+++ b/mitiq/calibration/calibrator.py
@@ -297,7 +297,13 @@ def get_cost(self) -> Dict[str, int]:
         }
 
     def run(self, log: Optional[OutputForm] = None) -> None:
-        """Runs all the circuits required for calibration."""
+        """Runs all the circuits required for calibration.
+
+        args:
+             log: If set, detailed results of each experiment run by the
+                calibrator are printed. The value corresponds to the format of
+                the information and can be set to “flat” or “cartesian”.
+        """
         if not self.results.is_missing_data():
             self.results.reset_data()