Commit
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Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (42f8e819133adb8303137c2ab83c1ac8d24b308b)
Co-authored-by: Librarian Bot (Bot) <[email protected]>
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- postbot/multi-emails-hq
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metrics:
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- accuracy
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model-index:
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- name: pythia-160m-hq-emails-v4
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results:
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- task:
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name: Causal Language Modeling
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type: text-generation
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dataset:
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name: postbot/multi-emails-hq
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type: postbot/multi-emails-hq
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.611281497151223
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widget:
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- text:
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Good Morning Professor Beans,
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Hope you are doing well. I just wanted to reach out and ask if differential
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example_title: email to prof
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- text:
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Hey <NAME>,
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Thank you for signing up for my weekly newsletter. Before we get started,
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-
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example_title: newsletter
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- text:
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Hi <NAME>,
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I hope this email finds you well. I wanted to reach out and ask about office
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hours
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example_title: office hours
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- text:
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Greetings <NAME>,
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I hope you had a splendid evening at the Company sausage eating festival. I
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example_title: festival
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- text:
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Good Morning Harold,
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-
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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:
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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:
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Hello there.
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-
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example_title: checking in
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- text:
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Hello <NAME>,
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I hope this email finds you well. I wanted to reach out and see if you've
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-
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example_title: work well
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- text:
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Hi <NAME>,
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I hope this email finds you well. I wanted to reach out and see if we could
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-
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example_title: catch up
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- text:
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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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inference:
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top_k: 40
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top_p: 0.95
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repetition_penalty: 3.5
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-generation
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---
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---
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language:
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- en
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- postbot/multi-emails-hq
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metrics:
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- accuracy
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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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+
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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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+
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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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+
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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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inference:
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top_k: 40
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top_p: 0.95
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repetition_penalty: 3.5
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pipeline_tag: text-generation
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base_model: EleutherAI/pythia-160m-deduped
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model-index:
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- name: pythia-160m-hq-emails-v4
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results:
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+
- task:
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type: text-generation
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+
name: Causal Language Modeling
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+
dataset:
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name: postbot/multi-emails-hq
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+
type: postbot/multi-emails-hq
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metrics:
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- type: accuracy
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value: 0.611281497151223
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name: Accuracy
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---
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