pszemraj commited on
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add some multilingual examples

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  1. README.md +14 -12
README.md CHANGED
@@ -5,6 +5,7 @@ tags:
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  - generated_from_trainer
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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
@@ -14,32 +15,32 @@ widget:
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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: 0.3
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  top_k: 20
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  top_p: 0.95
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  repetition_penalty: 3.5
@@ -47,7 +48,7 @@ parameters:
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  ---
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- # bloom-1b1-emailgen-v1
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  This model is a fine-tuned version of [bigscience/bloom-1b1](https://huggingface.co/bigscience/bloom-1b1) on the ` postbot/multi-emails-100k` dataset.
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@@ -60,7 +61,8 @@ More information needed
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  ## Intended uses & limitations
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- More information needed
 
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  ## Training and evaluation data
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  - generated_from_trainer
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  - email generation
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  - email
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+ - emailgen
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  datasets:
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  - aeslc
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  - postbot/multi-emails-100k
 
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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: "嘿<NAME>\n\n感谢你注册我的每周通讯。在我们开始之前,你必须确认你的电子邮件地址。."
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+ example_title: "通讯"
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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: "Grüße <NAME>,\n\nIch hoffe, du hattest einen schönen Abend beim Wurstessen der Firma. Ich melde mich, weil"
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+ example_title: "Wurstessen festival"
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+ - text: "Guten Morgen Harold,\n\nich habe mich gefragt, wann die nächste"
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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: "Hoi Archibald,\n\nik hoop dat deze e-mail je goed doet."
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+ example_title: "e-mails die je vinden"
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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: "Jestem <NAME>,\n\nWłaśnie wprowadziłem się do obszaru i chciałem dotrzeć i uzyskać kilka szczegółów na temat tego, gdzie mogę dostać artykuły spożywcze i"
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+ example_title: "zakupy spożywcze"
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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: 0.2
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  top_k: 20
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  top_p: 0.95
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  repetition_penalty: 3.5
 
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  ---
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+ # bloom-1b1-emailgen - v1
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  This model is a fine-tuned version of [bigscience/bloom-1b1](https://huggingface.co/bigscience/bloom-1b1) on the ` postbot/multi-emails-100k` dataset.
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  ## Intended uses & limitations
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+ - **this model did not have any of the original layers frozen during training**
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+ - while this is still an area of investigation, the model likely needs to have some layers frozen during fine-tuning to retain the multilingual capabilities in balance with learning how to write emails.
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  ## Training and evaluation data
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