66 lines
1.8 KiB
Markdown
66 lines
1.8 KiB
Markdown
---
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tags:
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- autotrain
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- text-generation
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datasets:
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- neovalle/H4rmony
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language:
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- en
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library_name: transformers
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license: mit
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---
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# Model Card for Model neovalle/H4rmoniousBreeze
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## Model Details
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### Model Description
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This is model is a version of HuggingFaceH4/zephyr-7b-beta fine-tuned via Autotrain Reward Model, using the H4rmony dataset, which aims
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to better align the model with ecological values through the use of ecolinguistics principles.
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- **Developed by:** Jorge Vallego
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- **Funded by :** Neovalle Ltd.
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- **Shared by :** airesearch@neovalle.co.uk
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- **Model type:** mistral
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- **Language(s) (NLP):** Primarily English
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- **License:** MIT
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- **Finetuned from model:** HuggingFaceH4/zephyr-7b-beta
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## Uses
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Intended as PoC to show the effects of H4rmony dataset.
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### Direct Use
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For testing purposes to gain insight in order to help with the continous improvement of the H4rmony dataset.
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### Downstream Use
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Its direct use in applications is not recommended as this model is under testing for a specific task only (Ecological Alignment)
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### Out-of-Scope Use
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Not meant to be used other than testing and evaluation of the H4rmony dataset and ecological alignment.
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## Bias, Risks, and Limitations
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This model might produce biased completions already existing in the base model, and others unintentionally introduced during fine-tuning.
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## How to Get Started with the Model
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It can be loaded and run in a Colab instance with High RAM.
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Code to load base and finetuned models to compare outputs:
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https://github.com/Neovalle/H4rmony/blob/main/H4rmoniousBreeze.ipynb
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## Training Details
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Autotrained reward model
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### Training Data
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H4rmony Dataset - https://huggingface.co/datasets/neovalle/H4rmony |