metadata

language:
  - en
tags:
  - text-generation
  - gpt2
  - gpt
  - trivia
  - chatbot
license: mit
widget:
  - text: |+
      how many ping-pong balls fit inside a standard 747 jet aeroplane?
      person beta:

    example_title: ping-pong
  - text: |+
      What is the capital of Uganda?
      person beta:

    example_title: geography
  - text: |+
      What is the most popular TV show of all time?
      person beta:

    example_title: pseudo-culture
  - text: |+
      A man pushes his car to a hotel and tells the owner he’s bankrupt. Why?
      person beta:

    example_title: brain teaser
inference:
  parameters:
    min_length: 2
    max_length: 32
    no_repeat_ngram_size: 2
    do_sample: false
    num_beams: 4
    early_stopping: true
    repetition_penalty: 2.1

Ballpark Trivia: Size XL

Check out a demo on HF Spaces here.

Are you frequently asked google-able Trivia questions and annoyed by it? Well, this is the model for you! Ballpark Trivia Bot answers any trivia question with something that sounds plausible but is probably not 100% correct. One might say.. the answers are in the right ballpark.

This is by far the largest model trained and should be more credible in its answers or at least able to handle more kinds of questions.

what is the temperature of dry ice in kelvin

person beta: 
194.65 K

Training

This text gen model is a GPT-2 ~1.5 B Parameter Size XL Model, first trained on Wizard of Wikipedia for 40k steps (33/36 layers frozen for the fine-tuning), and then subsequently trained for 40k steps on a parsed variant of Natural Questions(then 34/36 layers frozen for the second fine-tuning) to accidentally create this model.

Note that because the model was originally trained for use in a chatbot application, it uses a named conversation dialogue structure, i.e. the questions are asked by person alpha, and responded to by person beta. Even if you don't specify person alpha in the prompt, it hopefully responds to any question.

Example Prompt

the default examples are not great
you can type in any trivia question or delete the example and write what or when in there, and it will generate the rest of the trivia question and the answer!