fix the wandb logging issue (huggingface#33464)

* fix the wandb logging issue

* handle ConfigError in WandbCallback; move import to local scope

* update integration_utils.py; move import of ConfigError

* Update integration_utils.py: remove trailing whitespace

src/transformers/integrations/integration_utils.py

@@ -803,6 +803,10 @@ def setup(self, args, state, model, **kwargs):
         if self._wandb is None:
             return
         self._initialized = True
+
+        # prepare to handle potential configuration issues during setup
+        from wandb.sdk.lib.config_util import ConfigError as WandbConfigError
+
         if state.is_world_process_zero:
             logger.info(
                 'Automatic Weights & Biases logging enabled, to disable set os.environ["WANDB_DISABLED"] = "true"'
@@ -852,7 +856,13 @@ def setup(self, args, state, model, **kwargs):
             try:
                 self._wandb.config["model/num_parameters"] = model.num_parameters()
             except AttributeError:
-                logger.info("Could not log the number of model parameters in Weights & Biases.")
+                logger.info(
+                    "Could not log the number of model parameters in Weights & Biases due to an AttributeError."
+                )
+            except WandbConfigError:
+                logger.warning(
+                    "A ConfigError was raised whilst setting the number of model parameters in Weights & Biases config."
+                )
 
             # log the initial model architecture to an artifact
             if self._log_model.is_enabled: