diff --git a/word_based.ipynb b/word_based.ipynb
index 3a61558..7c3d539 100644
--- a/word_based.ipynb
+++ b/word_based.ipynb
@@ -184,7 +184,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -255,7 +255,7 @@
     "    #-- Fit model -- ---- --- --- --- ---- --- --- ---- --- --- --- --- --- --- --- --- \n",
     "    history_callback = modelFit(model, modelName, X, y, seq_length, batch_size, epochs, results_path)\n",
     "    loss_history = history_callback.history\n",
-    "    with open(results_path.rstrip('/').lstrip('/') + f'/{modelName}_loss_history.txt', 'w+') as f:\n",
+    "    with open(results_path.rstrip('/').lstrip('/') + f'/loss_history_{modelName}.txt', 'w+') as f:\n",
     "        f.write(str(loss_history))"
    ]
   },
diff --git a/word_based.py b/word_based.py
index a76809c..cf366c5 100644
--- a/word_based.py
+++ b/word_based.py
@@ -165,7 +165,7 @@ def defineModel(vocab_size, seq_length, modelList, length, input_shape):
     return model, modelName
 
 
-# In[7]:
+# In[13]:
 
 
 def trainModelComplete(results_path):
@@ -235,7 +235,7 @@ def trainModelComplete(results_path):
     #-- Fit model -- ---- --- --- --- ---- --- --- ---- --- --- --- --- --- --- --- --- 
     history_callback = modelFit(model, modelName, X, y, seq_length, batch_size, epochs, results_path)
     loss_history = history_callback.history
-    with open(results_path.rstrip('/').lstrip('/') + f'/{modelName}_loss_history.txt', 'w+') as f:
+    with open(results_path.rstrip('/').lstrip('/') + f'/loss_history_{modelName}.txt', 'w+') as f:
         f.write(str(loss_history))