diff --git a/configs.example/callbacks/default.yaml b/configs.example/callbacks/default.yaml
index 3f9a022a..999a5bf8 100644
--- a/configs.example/callbacks/default.yaml
+++ b/configs.example/callbacks/default.yaml
@@ -24,6 +24,7 @@ model_checkpoint:
   every_n_epochs: 1
   verbose: False
   filename: "epoch={epoch}-step={step}"
-  dirpath: "checkpoints/windnet2.1/${model_name}" #${..model_name}
+  # The path to where the model checkpoints will be stored
+  dirpath: "PLACEHOLDER/${model_name}" #${..model_name}
   auto_insert_metric_name: False
   save_on_train_epoch_end: False
diff --git a/configs.example/logger/tensorboard.yaml b/configs.example/logger/tensorboard.yaml
index cbfd4cc0..036c9559 100644
--- a/configs.example/logger/tensorboard.yaml
+++ b/configs.example/logger/tensorboard.yaml
@@ -2,7 +2,8 @@
 
 tensorboard:
   _target_: pytorch_lightning.loggers.tensorboard.TensorBoardLogger
-  save_dir: "/mnt/storage_ssd_4tb/windnet_batches/tensorboard"
+  # Path to use for tensorboard logs
+  save_dir: "PLACEHOLDER"
   name: "default"
   version: "${model_name}"
   log_graph: False
diff --git a/configs.example/logger/wandb.yaml b/configs.example/logger/wandb.yaml
index a724df0e..0fe80aa1 100644
--- a/configs.example/logger/wandb.yaml
+++ b/configs.example/logger/wandb.yaml
@@ -2,9 +2,11 @@
 
 wandb:
   _target_: lightning.pytorch.loggers.wandb.WandbLogger
-  project: "windnet2.1"
+  # wandb project to log to
+  project: "PLACEHOLDER"
   name: "${model_name}"
-  save_dir: "/mnt/storage_ssd_4tb/windnet_batches/"
+  # location to store the wandb local logs
+  save_dir: "PLACEHOLDER"
   offline: False # set True to store all logs only locally
   id: null # pass correct id to resume experiment!
   # entity: ""  # set to name of your wandb team or just remove it