gpt-nyc-nontoxic

GPT-NYC-nontoxic

About

GPT2 (small version on HF) fine-tuned on questions and responses from https://reddit.com/r/asknyc

I filtered comments to ones with scores >= 3, and responding directly to the original post ( = ignoring responses to other commenters). I also added many tokens which were common on /r/AskNYC but missing from GPT2.

Additional <Toxic> and <NonToxic> tokens control following output. Toxic comments (about 5.5% of input data) are those which were flagged by Perspective API with toxicity > 0.7, or by English DeHateBERT, with <NonToxic> tagging for all comments related to LGBTQ identity to avoid false positives / more aggressive censorship from these classifiers.

Try prompting with question? - additional info %% <Toxic> Or question? - additional info %% <NonToxic>

Other options

The gpt-nyc-small repo is based on GPT2 [small] but without the <Toxic> and <NonToxic> tags. It is the most directly comparable model to this one.

The main gpt-nyc repo is based on GPT2-Medium and comes off more accurate. It does not have Toxic/NonToxic tagging.

Blog

Initial model: https://mapmeld.medium.com/gpt-nyc-part-1-9cb698b2e3d

Notebooks

Data processing / new tokens

https://colab.research.google.com/drive/13BOw0uekoAYB4jjQtaXTn6J_VHatiRLu

Fine-tuning GPT2 (small)

https://colab.research.google.com/drive/1FnXcAh4H-k8dAzixkV5ieygV96ePh3lR

Predictive text and probabilities

Scroll to end of

https://colab.research.google.com/drive/1FnXcAh4H-k8dAzixkV5ieygV96ePh3lR

to see how to install git-lfs and trick ecco into loading this.