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license: apache-2.0
language:
- en
base_model:
- openai-community/gpt2-medium
pipeline_tag: text-generation
tags:
- cybersecurity
- passwords
library_name: transformers
---
# GPT-2 Hacker password generator (medium)
This model was fine-tuned based on the GPT-2 Medium.
# About the fine-tuning process
Number of epochs: 1
A dataset of 50,000 passwords was used for fine-tuning of 128 tokens).
Total loss: 0.524064
Training time: 40 minutes (Google Colab free, T4 GPU)
# Using the model
Use this code:
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model = "CodeferSystem/GPT2-Hacker-password-generator-Medium"
tokenizer = AutoTokenizer.from_pretrained(model)
model = AutoModelForCausalLM.from_pretrained(model)
prompt = "User: generate a hacker password\nAssistant:"
inputs = tokenizer(prompt, return_tensors="pt")
output = model.generate(
**inputs,
max_length=60,
do_sample=True,
temperature=0.9, # Change for creativity
top_p=0.95,
no_repeat_ngram_size=2
)
print(tokenizer.decode(output[0], skip_special_tokens=True))
```
# Example output:
```
(1) User: generate a hacker password
Assistant: 7-Zs_?~?JNz2
(2) User: generate a hacker password
Assistant: Y>Z7fB&j9c*q<&
(3) User: generate a hacker password
Assistant: #Nc<w~2hfJ4<
(4) User: generate a hacker password
Assistant: Zg0qV%X-!z=j5j
(5) User: generate a hacker password
Assistant: t~5^>6hVhxQ$yY
```
# Small model
[GPT2-Hacker-password-generator Small model](https://huggingface.co/CodeferSystem/GPT2-Hacker-password-generator)
# Dataset of this model
The dataset on which the model was trained will be published later. |