README.md

---
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 help with 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