Librarian Bot: Add base_model information to model
#1
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librarian-bot
- opened
README.md
CHANGED
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datasets:
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- aeslc
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- postbot/multi-emails-100k
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widget:
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- text:
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Hope you are doing well. I just wanted to reach out and ask if differential calculus
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example_title:
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- text:
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example_title:
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- text:
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parameters:
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min_length: 32
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max_length: 128
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no_repeat_ngram_size: 2
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do_sample:
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temperature: 0.4
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top_k: 30
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top_p: 0.9
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repetition_penalty: 3.5
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length_penalty: 0.9
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---
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datasets:
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- aeslc
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- postbot/multi-emails-100k
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widget:
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- text: 'Good Morning Professor Beans,
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Hope you are doing well. I just wanted to reach out and ask if differential calculus
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will be on the exam'
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example_title: email to prof
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- text: 'Hey <NAME>,
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Thank you for signing up for my weekly newsletter. Before we get started, you''ll
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have to confirm your email address.'
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example_title: newsletter
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- text: 'Hi <NAME>,
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I hope this email finds you well. I wanted to reach out and ask about office hours'
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example_title: office hours
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- text: 'Greetings <NAME>,
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I hope you had a splendid evening at the Company sausage eating festival. I am
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reaching out because'
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example_title: festival
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- text: 'Good Morning Harold,
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I was wondering when the next'
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example_title: event
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- text: URGENT - I need the TPS reports
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example_title: URGENT
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- text: 'Hi Archibald,
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I hope this email finds you extremely well.'
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example_title: emails that find you
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- text: 'Hello there.
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I just wanted to reach out and check in to'
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example_title: checking in
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- text: 'Hello <NAME>,
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I hope this email finds you well. I wanted to reach out and see if you''ve enjoyed
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your time with us'
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example_title: work well
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- text: 'Hi <NAME>,
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I hope this email finds you well. I wanted to reach out and see if we could catch
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up'
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example_title: catch up
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- text: I'm <NAME> and I just moved into the area and wanted to reach out and get
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some details on where I could get groceries and
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example_title: grocery
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parameters:
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min_length: 32
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max_length: 128
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no_repeat_ngram_size: 2
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do_sample: true
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temperature: 0.4
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top_k: 30
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top_p: 0.9
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repetition_penalty: 3.5
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length_penalty: 0.9
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base_model: EleutherAI/gpt-neo-1.3B
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---
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