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README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# gpt-neo-
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This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on
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It achieves the following results on the evaluation set:
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- Loss: 1.6930
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license: apache-2.0
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tags:
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- generated_from_trainer
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- text generation
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- email generation
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- email
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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 will be on the exam"
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example_title: "email to prof"
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- text: "Hey <NAME>,\n\nThank you for signing up for my weekly newsletter. Before we get started, you'll have to confirm your email address."
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example_title: "newsletter"
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- text: "Hi <NAME>,\n\nI 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>,\n\nI hope you had a splendid evening at the Company sausage eating festival. I am reaching out because"
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example_title: "festival"
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- text: "Good Morning Harold,\n\nI 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,\n\nI hope this email finds you extremely well."
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example_title: "emails that find you"
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- text: "Hello there.\n\nI just wanted to reach out and check in to"
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example_title: "checking in"
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- text: "Hello <NAME>,\n\nI hope this email finds you well. I wanted to reach out and see if you've enjoyed your time with us"
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example_title: "work well"
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- text: "Hi <NAME>,\n\nI hope this email finds you well. I wanted to reach out and see if we could catch 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 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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---
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# gpt-neo-1.3B-emailgen
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This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on the postbot/multi-emails-100k dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6930
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