Quotes! Quotes! Quotes! Part 2

Trippy Quotes generated from my new Inspirational Quotes 774M model

Photo by Johannes Plenio on Unsplash

Curator’s note:

Quotes! Quotes! Quotes! Part one had quotes from my quotes-124M GPT-2 model, but I’ve since tuned a GPT 774M model. Here are some trippy quotes from my latest “Inspirational Quotes” 774M GPT-2 model generated recently. Enjoy!


Never vote for a current commander who can’t dance.


Confound as you fall, and feel as you revive.


Always forget people who do nothing good and average things instead of wishing them nothing


Progress is something who does not try.


Until failing perhaps lang thickness of sky height addiction cannot alienify!


To windows that aren’t sunwakes until they fall off.


Before he died, began was crazy. With the rain!


Find by following perform transactional deeds what addresses your heart directs you teleportation shocks.


Knowledge is someday translated into weapon speeds new populations apprehension; It is early.


Bring something incomprehensible!

[END TRANSMISSION]


Editor’s Notes

Written by AI, using my random-temp script, and using my quotes-774M model, which is a fine-tuning of gpt-2 774M. Chosen from among the other recently generated quotes by me, a human.

Plagiarism Checked

Plagiarism checked with Plagiarism-Basic against the dataset for duplicate strings of length 5-7 in these cases.

GPT-2 Settings

Quote 1

{
  "return_as_list": true,
  "length": 15,
  "top_k": 80,
  "top_p": 0.9,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-774M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.430000000000001
}

Quote 2

{
  "return_as_list": true,
  "length": 15,
  "top_k": 80,
  "top_p": 0.9,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-774M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.2200000000000009
}

Quote 3

{
  "return_as_list": true,
  "length": 15,
  "top_k": 80,
  "top_p": 0.9,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-774M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.270000000000001
}

Quote 4

{
  "return_as_list": true,
  "length": 15,
  "top_k": 80,
  "top_p": 0.9,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-774M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.5600000000000012
}

Quote 5

{
  "return_as_list": true,
  "length": 15,
  "top_k": 80,
  "top_p": 0.9,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-774M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.9100000000000015
}

Quote 6

{
  "return_as_list": true,
  "length": 15,
  "top_k": 80,
  "top_p": 0.9,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-774M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.290000000000001
}

Quote 7

{
  "return_as_list": true,
  "length": 15,
  "top_k": 80,
  "top_p": 0.9,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-774M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.390000000000001
}

Quote 8

{
  "return_as_list": true,
  "length": 15,
  "top_k": 80,
  "top_p": 0.9,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-774M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.7400000000000013
}

Quote 9

{
  "return_as_list": true,
  "length": 15,
  "top_k": 80,
  "top_p": 0.9,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-774M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.6300000000000012
}

Quote 10

{"return_as_list": true, "length": 15, "top_k": 80, "top_p": 0.9, "truncate": "<|endoftext|>", "nsamples": 1, "batch_size": 1, "run_name": "model-quotes-774M-run1", "prefix": "<|startoftext|>", "temperature": 1.340000000000001}```