Rename generator and trainer scripts; update README for directory structure and file naming consistency

Author: DefinetlyNotAI

v4n1_Generator.py Generator.pyv4n1_Generator.py renamed to Generator.py

@@ -128,20 +128,16 @@ as well as previously trained models for you to test out
 The repository is located [here](https://github.com/DefinetlyNotAI/VulnScan_Data).
 
 The repository contains the following directories:
-- `Archived Models`: Contains the previously trained models. Is organized by the model type then version.
+- `cache`: Contains all training data generated by [`Generator.py`](Generator.py).
 - `NN features`: Contains information about the model `.3n3` and the vectorizer used. Information include:
     - `Documentation_Study_Network.md`: A markdown file that contains more info.
-    - `Neural Network Nodes Graph.gexf`: A Gephi file that contains the model nodes and edges.
-        - `Nodes and edges (GEPHI).csv`: A CSV file that contains the model nodes and edges.
-        - `Statistics`: Directories made by Gephi, containing the statistics of the model nodes and edges.
+    - `Neural_Network_Nodes_Graph.gexf`: A Gephi file that contains the model nodes and edges.
     - `Feature_Importance.svg`: A SVG file that contains the feature importance of the model.
     - `Loss_Landscape_3D.html`: A HTML file that contains the 3D loss landscape of the model.
-    - `Model Accuracy Over Epochs.png` and `Model Loss Over Epochs.png`: PNG files that contain the model accuracy and loss over epochs.
-    - `Model state dictionary.txt`: A text file that contains the model state dictionary.
-    - `Model Summary.txt`: A text file that contains the model summary.
-    - `Model Visualization.png`: A PNG file that contains the model visualization.
-    - `Top_90_Features.svg`: A SVG file that contains the top 90 features of the model.
-    - `Vectorizer features.txt`: A text file that contains the vectorizer features.
-    - `Visualize Activation.png`: A PNG file that contains the visualization of the model activation.
-    - `Visualize t-SNE.png`: A PNG file that contains the visualization of the model t-SNE.
-    - `Weight Distribution.png`: A PNG file that contains the weight distribution of the model.
+    - `Model_State_Dict.txt`: A text file that contains the model state dictionary.
+    - `Model_Summary.txt`: A text file that contains the model summary.
+    - `Model_Visualization.png`: A PNG file that contains the model visualization.
+    - `Visualize_Activation.png`: A PNG file that contains the visualization of the model activation.
+    - `Visualize_tSNE.png`: A PNG file that contains the visualization of the model t-SNE with the default training test embeds.
+    - `Visualize_tSNE_custom.png`: A PNG file that contains the visualization of the model t-SNE with real world training examples (only 100).
+    - `Weight_Distribution.png`: A PNG file that contains the weight distribution of the model.