diff --git a/personalized_active_learning/datamodules/base.py b/personalized_active_learning/datamodules/base.py
index 7b919c1..44d227a 100644
--- a/personalized_active_learning/datamodules/base.py
+++ b/personalized_active_learning/datamodules/base.py
@@ -1,6 +1,7 @@
 import abc
 from enum import Enum
 from typing import List, Optional, Tuple
+import logging
 
 import numpy as np
 import pandas as pd
@@ -281,6 +282,10 @@ def _apply_personalised_embeddings(self) -> Tuple[pd.DataFrame, pd.DataFrame]:
             self.annotations
         )
 
+        logging.info(
+            "Preparing personalised embeddings: %s" % personalised_embeddings.name
+        )
+
         self.embeddings_creator.set_personalised_embeddings_name(
             personalised_embeddings.name
         )
diff --git a/personalized_active_learning/embeddings/embeddings_creator.py b/personalized_active_learning/embeddings/embeddings_creator.py
index af27a7c..de0edad 100644
--- a/personalized_active_learning/embeddings/embeddings_creator.py
+++ b/personalized_active_learning/embeddings/embeddings_creator.py
@@ -8,6 +8,7 @@
 
 import numpy as np
 import torch
+import logging
 
 from settings import EMBEDDINGS_SIZES, TRANSFORMER_MODEL_STRINGS
 from personalized_nlp.utils.embeddings import create_embeddings
@@ -85,6 +86,7 @@ def get_embeddings(self, texts: List[str]) -> torch.Tensor:
         return self._load_embeddings()
 
     def _load_embeddings(self) -> torch.Tensor:
+        logging.info("Loading embeddings from %s" % (self.embeddings_path))
         with open(self.embeddings_path, "rb") as f:
             text_idx_to_emb = pickle.load(f)
 
diff --git a/personalized_active_learning/experiments/active_learning/unhealthy.py b/personalized_active_learning/experiments/active_learning/unhealthy.py
index 351f53c..6645738 100644
--- a/personalized_active_learning/experiments/active_learning/unhealthy.py
+++ b/personalized_active_learning/experiments/active_learning/unhealthy.py
@@ -1,6 +1,8 @@
 # TODO: REFACTOR!!!!
 import os
 import warnings
+import logging
+
 from itertools import product
 
 from pytorch_lightning.utilities.warnings import PossibleUserWarning
@@ -29,6 +31,10 @@
 os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 os.environ["WANDB_START_METHOD"] = "thread"
 
+logging.basicConfig(
+    format="%(asctime)s %(filename)s %(lineno)d [%(levelname)s]: %(message)s",
+    level=logging.INFO
+)
 
 if __name__ == "__main__":
     wandb_project_name = "PNW_AL_Unhealthy_tests"
diff --git a/personalized_active_learning/experiments/active_learning/wiki/aggression.py b/personalized_active_learning/experiments/active_learning/wiki/aggression.py
index 4eefdc6..f9cec04 100644
--- a/personalized_active_learning/experiments/active_learning/wiki/aggression.py
+++ b/personalized_active_learning/experiments/active_learning/wiki/aggression.py
@@ -18,12 +18,17 @@
 from personalized_nlp.utils import seed_everything
 from personalized_nlp.utils.experiments import product_kwargs
 from settings import DATA_DIR
+import logging
 
 # False positive https://github.com/Lightning-AI/lightning/issues/11856
 warnings.filterwarnings("ignore", category=PossibleUserWarning)
 os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 os.environ["WANDB_START_METHOD"] = "thread"
 
+logging.basicConfig(
+    format="%(asctime)s %(filename)s %(lineno)d [%(levelname)s]: %(message)s",
+    level=logging.INFO
+)
 
 if __name__ == "__main__":
     wandb_project_name = "PNW_AL_Wiki_Aggression"