Silence fit tracking metrics logs in BenchmarkMethod (#2370)

Summary:
Pull Request resolved: #2370

These warnings appear many times when running benchmark tests. Since tests have a logger level of warning, making these into info logs will have them appear in regular usage while silencing them in tests.
{F1488198739}

Reviewed By: esantorella

Differential Revision: D56199058

fbshipit-source-id: 560243228d200abf297ae959ac2ee8bbaf53ab7f

ax/benchmark/benchmark_method.py

@@ -45,7 +45,7 @@ def __post_init__(self) -> None:
         # the benchmark - in fact, things will error out deep inside the modeling
         # stack since the model gets both noisy (benchmark) and noiseless (ground
         # truth) observations. While support for this is something we shold add
-        # or models, in the context of benchmarking we actually want to avoid
+        # for models, in the context of benchmarking we actually want to avoid
         # fitting the ground truth metrics at all.
 
         # Clone the GS so as to not modify the original one in-place below.
@@ -57,15 +57,15 @@ def __post_init__(self) -> None:
                 if node.model_kwargs is None:
                     node.model_kwargs = {}
                 if node.model_kwargs.get("fit_tracking_metrics", True):
-                    logger.warning(
+                    logger.info(
                         "Setting `fit_tracking_metrics` in a GenerationStep to False.",
                     )
                     not_none(node.model_kwargs)["fit_tracking_metrics"] = False
             for model_spec in node.model_specs:
                 if model_spec.model_kwargs is None:
                     model_spec.model_kwargs = {}
                 elif model_spec.model_kwargs.get("fit_tracking_metrics", True):
-                    logger.warning(
+                    logger.info(
                         "Setting `fit_tracking_metrics` in a GenerationNode's "
                         "model_spec to False."
                     )