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Librarian Bot: Add base_model information to model (#2)

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- Librarian Bot: Add base_model information to model (02570724944ba21fb49da03f43578e1d261486cb)


Co-authored-by: Librarian Bot (Bot) <[email protected]>

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  1. README.md +17 -14
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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- license: apache-2.0
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  language:
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  - en
 
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  tags:
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  - t5
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  - qa
@@ -13,17 +13,20 @@ datasets:
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  metrics:
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  - rouge
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  widget:
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- - text: "why hasn't humanity expanded to live on other planets in our solar system?"
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- example_title: "solar system"
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- - text: "question: what is a probability distribution? context: I am just learning about statistics."
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- example_title: "probability distribution"
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- - text: "question: What are the underlying physical processes by which exercise helps us lose weight? context: I started working out two weeks ago and already feel a lot better, and started to think about it and became deeply confused."
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- example_title: "pumpen"
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- - text: "what is a neural network?"
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- example_title: "deep learning"
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- - text: "What is the process that computers use to understand human language in deep learning models?"
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- example_title: "NLP"
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-
 
 
 
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  inference:
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  parameters:
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  max_length: 64
@@ -32,8 +35,8 @@ inference:
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  repetition_penalty: 3.51
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  length_penalty: 0.8
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  num_beams: 4
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- early_stopping: True
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-
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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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  - t5
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  - qa
 
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  metrics:
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  - rouge
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  widget:
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+ - text: why hasn't humanity expanded to live on other planets in our solar system?
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+ example_title: solar system
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+ - text: 'question: what is a probability distribution? context: I am just learning
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+ about statistics.'
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+ example_title: probability distribution
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+ - text: 'question: What are the underlying physical processes by which exercise helps
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+ us lose weight? context: I started working out two weeks ago and already feel
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+ a lot better, and started to think about it and became deeply confused.'
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+ example_title: pumpen
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+ - text: what is a neural network?
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+ example_title: deep learning
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+ - text: What is the process that computers use to understand human language in deep
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+ learning models?
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+ example_title: NLP
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  inference:
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  parameters:
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  max_length: 64
 
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  repetition_penalty: 3.51
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  length_penalty: 0.8
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  num_beams: 4
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+ early_stopping: true
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+ base_model: google/t5-v1_1-base
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  ---
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