Quotes! Quotes! Quotes!

Quotes just dropped from a newly trained quotes model!

quotes
Photo by Diego PH on Unsplash

Curator’s Note: I just trained a GPT-124M model on inspirational quotes, here are some noteworthy ones it generated. These range from low-temperature to high, and thusly from tame to wacky. (See notes at bottom for technical details)

Property of forever there is still a hill ahead of you, but always expect stop.

Hope
scarred her Radiant sliver,
Like light and cloudshadows,
Like sunbeams celient hues

Discover nothing but knowledge.

A partners self-respect is the creation of a friendship.

A bright future begins with a smile..

Risk looking forward or backward, turned into momentum. Over time like that, build your wings on that.

I equivalentize all the same harp, as people need to be mocked.

The expression ‘we will never be enough’ is a mere manifestation of commitment.

Un trash can be beautiful.

Failed. Thats what success is like facade for dream creation.

[END TRANSMISSION]

Editor’s Notes

Written by AI, using my random-temp script, and using my quotes-124M model, which is a fine-tuning of gpt-2 124M. After plagiarism and profanity filtering, these were chosen from among the other recently generated quotes by me, a human.

Edits

Small formatting edits and capitalizations, due to some rough line-return formatting in the generated content

Title

Title was human-derived by me from the generated text

Plagiarism Checked

Plagiarism checked with Plagiarism-Basic against the dataset

GPT-2 Settings

Quote 1

{
  "return_as_list": true,
  "length": 30,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-124M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.4100000000000006
}

Quote 2

{
  "return_as_list": true,
  "length": 30,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-124M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.470000000000001
}

Quote 3

{
  "return_as_list": true,
  "length": 10,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-124M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.7100000000000013
}

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-124M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.8000000000000014
}

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-124M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.1800000000000008
}

Quote 6

{
  "return_as_list": true,
  "length": 30,
  "truncate": "<|endoftext|>",
  "nsamples": 1,
  "batch_size": 1,
  "run_name": "model-quotes-124M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.5000000000000007
}

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-124M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.6300000000000012
}

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-124M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.500000000000001
}

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-124M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.9900000000000015
}

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-124M-run1",
  "prefix": "<|startoftext|>",
  "temperature": 1.9200000000000015
}