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---
license: mit
tags:
- ecology
- sustainability
- ecolinguistics
- dpo
datasets:
- neovalle/H4rmony_dpo
model-index:
- name: H4rmoniousAnthea
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 65.87
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=neovalle/H4rmoniousAnthea
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 84.09
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=neovalle/H4rmoniousAnthea
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 63.67
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=neovalle/H4rmoniousAnthea
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 55.08
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=neovalle/H4rmoniousAnthea
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 76.87
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=neovalle/H4rmoniousAnthea
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 12.96
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=neovalle/H4rmoniousAnthea
name: Open LLM Leaderboard
---
# Model Details
# Model Description
This model is based on teknium/OpenHermes-2.5-Mistral-7B, DPO fine-tuned with the H4rmony_dpo dataset.
Its completions should be more ecologically aware than the base model.
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: teknium/OpenHermes-2.5-Mistral-7B
Methodology: DPO
# Uses
Intended as PoC to show the effects of H4rmony_dpo dataset with DPO fine-tuning.
# Direct Use
For testing purposes to gain insight in order to help with the continous improvement of the H4rmony_dpo 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_dpo 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.
# Training Details
Trained using DPO
# Training Data
H4rmony Dataset - https://huggingface.co/datasets/neovalle/H4rmony_dpo
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_neovalle__H4rmoniousAnthea)
| Metric |Value|
|---------------------------------|----:|
|Avg. |59.76|
|AI2 Reasoning Challenge (25-Shot)|65.87|
|HellaSwag (10-Shot) |84.09|
|MMLU (5-Shot) |63.67|
|TruthfulQA (0-shot) |55.08|
|Winogrande (5-shot) |76.87|
|GSM8k (5-shot) |12.96|
|