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@@ -9,7 +9,10 @@ license: apache-2.0
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  ## What's baizemocracy-lora-7B-cfqa model?
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  This model is an open-source chat model fine-tuned with [LoRA](https://github.com/microsoft/LoRA) inspired by [Baize project](https://github.com/project-baize/baize-chatbot/tree/main/). It was trained with the Baize datasets and the ask2democracy-cfqa-salud-pension dataset, wich contains almost 4k instructions to answers questions based on a context relevant to citizen concerns and public debate in spanish.
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- Two major experiments models was performed during the Hackathon Somos NLP 2023: A conversational style focused model and a contex focused style model.
 
 
 
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  This model is focused in a more conversational way of asking questions. See Pre-proccessing dataset section.
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  There is other model variation more focused on augmented retrieval based on context [Baizemocracy-contextfocused](https://github.com/project-baize/baize-chatbot/tree/main/).
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@@ -39,8 +42,9 @@ Testing is a work in progress, we decide to share both model variations with com
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  - [Alpacaca chat Dialogs](https://github.com/project-baize/baize)
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  - [Medical chat Dialogs](https://github.com/project-baize/baize)
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- - ### About pre-processing
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- Ask2Democracy-cfqa-salud-pension dataset was pre-processed in a conversational style like this:
 
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  ```python
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  def format_instruction_without_context(example):
 
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  ## What's baizemocracy-lora-7B-cfqa model?
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  This model is an open-source chat model fine-tuned with [LoRA](https://github.com/microsoft/LoRA) inspired by [Baize project](https://github.com/project-baize/baize-chatbot/tree/main/). It was trained with the Baize datasets and the ask2democracy-cfqa-salud-pension dataset, wich contains almost 4k instructions to answers questions based on a context relevant to citizen concerns and public debate in spanish.
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+ Two major experiments models was performed during the Hackathon Somos NLP 2023:
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+ - A conversational style focused model
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+ - A contex focused style model.
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+
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  This model is focused in a more conversational way of asking questions. See Pre-proccessing dataset section.
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  There is other model variation more focused on augmented retrieval based on context [Baizemocracy-contextfocused](https://github.com/project-baize/baize-chatbot/tree/main/).
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  - [Alpacaca chat Dialogs](https://github.com/project-baize/baize)
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  - [Medical chat Dialogs](https://github.com/project-baize/baize)
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+ ## About pre-processing
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+
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+ Ask2Democracy-cfqa-salud-pension dataset was pre-processed in a conversational style in two variations like this:
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  ```python
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  def format_instruction_without_context(example):