readme: ---
  license: cc-by-sa-4.0
  language:
  - id
  library_name: transformers
  pipeline_tag: text-classification
  ---
  # BERATBOS v0.0.1-prealpha
  > BERT-based Automated Text Classification Based on POS
  
  A model I made for my final year assignment, used a random script to train this on GPU,
  as a result, the usage is kinda non-standard, as far as transformers-based models go, at least.
  
  Model is for detecting AI-generated works via coherency comparison through POS tag differences,
  it was only trained for 5 epochs on a dataset of 1000 human sentences and 1000 BLOOM-generated sentences.
  
  ![image.png](https://s3.amazonaws.com/moonup/production/uploads/1674149530163-605ac7c22bd7bebcc260c29e.png)
  
  I have plans to further this model into an actual production model, 
  but will only be done once I can properly assess on whether that's a worthy enough of an endeavour.