Update README.md

README.md

@@ -3,7 +3,69 @@ tags:
 - autotrain
 - text-generation
 widget:
-- text: "I love AutoTrain because "
+- text: "Tell me about bees "
 ---
 
-# Model Trained Using AutoTrain
+# Model Trained Using AutoTrain---
+tags:
+- autotrain
+- text-generation
+widget:
+- text: 'Tell me about bees.'
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# Model Card for Model neovalle/H4rmoniousBreeze
+
+
+## Model Details
+
+### Model Description
+
+This is model is a version of HuggingFaceH4/zephyr-7b-beta fine-tuned via Autotrain Reward Model, using 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:** mistral 
+- **Language(s) (NLP):** Primarily English
+- **License:** MIT
+- **Finetuned from model:** HuggingFaceH4/zephyr-7b-beta
+
+
+## Uses
+
+Intended as PoC to show the effects 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 (Ecological Alignment)
+
+### Out-of-Scope Use
+
+Not meant to be used other than testing and evaluation of the H4rmony dataset and ecological alignment.
+
+## Bias, Risks, and Limitations
+
+This model might produce biased completions already existing in the base model, and others unintentionally introduced during fine-tuning.
+
+## How to Get Started with the Model
+
+It can be loaded and run in a Colab instance with High RAM.
+Code to load base and finetuned models to compare outputs:
+
+https://github.com/Neovalle/H4rmony/blob/main/H4rmoniousBreeze.ipynb
+
+## Training Details
+
+Autotrained reward model 
+
+### Training Data
+
+H4rmony Dataset - https://huggingface.co/datasets/neovalle/H4rmony