Librarian Bot: Add base_model information to model
#1
by
librarian-bot
- opened
README.md
CHANGED
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- aeslc
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- postbot/multi_emails_kw
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widget:
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- text:
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example_title:
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example_title:
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example_title:
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example_title:
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example_title:
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example_title:
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example_title:
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parameters:
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min_length: 16
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max_length: 256
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no_repeat_ngram_size: 2
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do_sample:
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num_beams: 8
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early_stopping:
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repetition_penalty: 5.5
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length_penalty: 0.9
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---
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# t5-base-kw2email-v4
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- aeslc
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- postbot/multi_emails_kw
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widget:
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- text: Thursday pay invoice need asap thanks Pierre good morning dear Harold
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example_title: invoice
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- text: dear elia when will space be ready need urgently regards ronald
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example_title: space ready
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- text: Tuesday need talk with you important stuff dear jonathan status war in Syria
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example_title: war status
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- text: dear bob will back wednesday need urgently regards elena
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example_title: return wednesday
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- text: dear mary thanks for your last invoice need know when payment be
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example_title: last invoice
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- text: pct1_dropremainder rounding may truncate the last examples in a dataset if
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the number of examples in your dataset don’t divide evenly by 100 dear bob
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example_title: pct1_dropremainder
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- text: dear joseph have all invoices ready Monday next invoice in 30 days have great
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weekend
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example_title: next invoice
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- text: dear mary I have couple questions on new contract we agreed on need know thoughts
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regarding contract
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example_title: contract
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- text: Friday will make report due soon please thanks dear john
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example_title: report due soon
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- text: need take photos sunday want finish thursday photo exhibition need urgent
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help thanks dear john
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example_title: photo exhibition
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- text: Tuesday need talk with you important stuff dear reginald
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example_title: important talk
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- text: dear maria how are you doing thanks very much
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example_title: thanks
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- text: dear james tomorrow will prepare file for june report before leave need know
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when leave
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example_title: file for june report
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parameters:
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min_length: 16
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max_length: 256
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no_repeat_ngram_size: 2
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do_sample: false
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num_beams: 8
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early_stopping: true
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repetition_penalty: 5.5
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length_penalty: 0.9
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base_model: pszemraj/t5-base-kw2email-v3.5
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---
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# t5-base-kw2email-v4
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