diff --git a/modules/evaluate.py b/modules/evaluate.py
index adafa713..d93e81b4 100644
--- a/modules/evaluate.py
+++ b/modules/evaluate.py
@@ -28,7 +28,9 @@ past_evaluations = load_past_evaluations()
 def save_past_evaluations(df):
     global past_evaluations
     past_evaluations = df
-    df.to_csv(Path('logs/evaluations.csv'), index=False)
+    filepath = Path('logs/evaluations.csv')
+    filepath.parent.mkdir(parents=True, exist_ok=True)
+    df.to_csv(filepath, index=False)
 
 
 def calculate_perplexity(models, input_dataset, stride, _max_length):
@@ -39,7 +41,7 @@ def calculate_perplexity(models, input_dataset, stride, _max_length):
 
     global past_evaluations
     cumulative_log = ''
-    cumulative_log += "Loading the input dataset...\n"
+    cumulative_log += "Loading the input dataset...\n\n"
     yield cumulative_log
 
     # Copied from https://github.com/qwopqwop200/GPTQ-for-LLaMa/blob/triton/utils/datautils.py
@@ -58,13 +60,13 @@ def calculate_perplexity(models, input_dataset, stride, _max_length):
 
     for model in models:
         if is_in_past_evaluations(model, input_dataset, stride, _max_length):
-            cumulative_log += f"{model} has already been tested. Ignoring.\n"
+            cumulative_log += f"{model} has already been tested. Ignoring.\n\n"
             yield cumulative_log
             continue
 
         if model != 'current model':
             try:
-                yield cumulative_log + f"Loading {model}...\n"
+                yield cumulative_log + f"Loading {model}...\n\n"
                 model_settings = get_model_specific_settings(model)
                 shared.settings.update(model_settings)  # hijacking the interface defaults
                 update_model_parameters(model_settings)  # hijacking the command-line arguments
@@ -72,12 +74,12 @@ def calculate_perplexity(models, input_dataset, stride, _max_length):
                 unload_model()
                 shared.model, shared.tokenizer = load_model(shared.model_name)
             except:
-                cumulative_log += f"Failed to load {model}. Moving on.\n"
+                cumulative_log += f"Failed to load {model}. Moving on.\n\n"
                 yield cumulative_log
                 continue
 
-        cumulative_log += f"Processing {model}...\n"
-        yield cumulative_log + "Tokenizing the input dataset...\n"
+        cumulative_log += f"Processing {model}...\n\n"
+        yield cumulative_log + "Tokenizing the input dataset...\n\n"
         encodings = encode(text, add_special_tokens=False)
         seq_len = encodings.shape[1]
         max_length = _max_length or shared.model.config.max_position_embeddings