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---
library_name: keras
pipeline_tag: text-classification
tags:
- security
- password
---
# 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.
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.
The model embeds every input character with the ord() builtin python function. The model has `128 128` dense layer parameters.
## Evaluation
The evaluation of the model on a test dataset shows:
**loss** -
**accuracy** - |