Update README.md

README.md

@@ -13,9 +13,12 @@ I used this password list as a dataset + random password generation using the `r
 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.
 The model embeds every input character with the ord() builtin python function. The model has `128 128` dense layer parameters.
 ## Evaluation
+On training the model had
+**loss** - 0.0025
+**accuracy** - 0.9972
 The evaluation of the model on a test dataset shows:
-**loss** - 
-**accuracy** - 
+**loss** - 0.0023
+**accuracy** - 0.9972
 ## 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: