Update README.md

README.md

@@ -7,7 +7,7 @@ tags:
 ---
 
 # Password security classifier
-This is a keras model that gives a binary response showing how secure is a password. The `start.py` file has a `clf` function that inputs a string of a password and responds with a 0-1 float value. 1 means secure and 0 insecure.
+This is a keras model that gives a binary response showing how secure is a password.
 I used this password list as a dataset + random password generation using the `random` library (I know, it's not very secure but this is for a dataset).
 ## Model & Training
 The model was trained on 4,2MiB of .csv data for 2 epochs on Adam with learning rate 0.00001, batch size 4 and mse loss.
@@ -15,4 +15,14 @@ The model embeds every input character with the ord() builtin python function. T
 ## Evaluation
 The evaluation of the model on a test dataset shows:
 **loss** - 
-**accuracy** - 
+**accuracy** - 
+## Model usage
+The `start.py` file has a `clf` function that inputs a string of a password and responds with a 0-1 float value. 1 means secure and 0 insecure.
+To train the model, create a `dataset.csv` file. Here's an example:
+```csv
+0,qwerty
+0,123456
+1,ISOdvsjs8r8
+1,F(SEsDLxc__
+```
+After the `dataset.csv` file is created, now you can adjust the settings in the `net.py` file and run it.