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---
library_name: transformers
pipeline_tag: text2text-generation
license: mit
datasets:
- neovalle/H4rmony
language:
- en
tags:
- Environment
- climate
- ecology
- ecolinguistics
---
# Model Card for Model neovalle/H4rmoniousCaramel
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/64aac16fd4a402e8dce11ebe/V52bRqvJtcioo4tfC3kZX.jpeg)
## Model Details
### Model Description
This is model is a fine-tuned version of google/flan-t5-large finetuned with the H4rmony dataset which aims
to better align the model with ecological values through the use of ecolinguistics principles.
- **Developed by:** Jorge Vallego
- **Funded by :** Neovalle Ltd.
- **Shared by :** airesearch@neovalle.co.uk
- **Model type:** t5 Language Model
- **Language(s) (NLP):** Primarily English
- **License:** MIT
- **Finetuned from model:** google/flan-t5-large
## Uses
Intended as PoC to show the effect of H4rmony dataset.
### Direct Use
For testing purposes to gain insight in order to the continous improvement of the H4rmony dataset.
### Downstream Use
Its direct use in applications is not recommended as this model is under testing for a specific task only
### Out-of-Scope Use
Not meant to be used other than testing and evaluation of the H4rmony dataset.
## Bias, Risks, and Limitations
This model might produce biased completions already existing in the base model and unintentionally introduced during fine-tuning.
## How to Get Started with the Model
It can be loaded and run in a free Colab instance.
Code to load base and finetuned models to compare outputs:
https://github.com/Neovalle/H4rmony/blob/main/H4rmoniousCaramel.ipynb
## Training Details
Supervised Fine Tuning
### Training Data
H4rmony Dataset - https://huggingface.co/datasets/neovalle/H4rmony
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