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add example

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  1. README.md +6 -0
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@@ -3,6 +3,12 @@ Are you frequently asked google-able Trivia questions and annoyed by it? Well, t
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  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.
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  ## Training
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  This text gen model is a GPT-2 ~1.5 B Parameter Size XL Model, first trained on [Wizard of Wikipedia](https://parl.ai/projects/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](https://ai.google.com/research/NaturalQuestions)(then **34**/36 layers frozen for the second fine-tuning) to accidentally create this model.
 
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  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.
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+ ```
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+ what is the temperature of dry ice in kelvin
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+
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+ person beta:
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+ 194.65 K
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+ ```
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  ## Training
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  This text gen model is a GPT-2 ~1.5 B Parameter Size XL Model, first trained on [Wizard of Wikipedia](https://parl.ai/projects/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](https://ai.google.com/research/NaturalQuestions)(then **34**/36 layers frozen for the second fine-tuning) to accidentally create this model.