---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- merge
- dpo
- text-generation-inference
datasets:
- jondurbin/truthy-dpo-v0.1
pipeline_tag: text-generation
model-index:
- name: OGNO-7b-dpo-truthful
  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: 72.95
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/OGNO-7b-dpo-truthful
      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: 89.02
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/OGNO-7b-dpo-truthful
      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: 64.61
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/OGNO-7b-dpo-truthful
      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: 76.61
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/OGNO-7b-dpo-truthful
      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: 84.69
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/OGNO-7b-dpo-truthful
      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: 68.99
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/OGNO-7b-dpo-truthful
      name: Open LLM Leaderboard
---

DPO Finetuned paulml/OGNO-7B using jondurbin/truthy-dpo-v0.1

paulml/OGNO-7B is a mistral 7b variant afaik and this repo is an experimental repo, so might not be useable in prod

Thx for the great data sources.
# [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_eren23__OGNO-7b-dpo-truthful)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |76.14|
|AI2 Reasoning Challenge (25-Shot)|72.95|
|HellaSwag (10-Shot)              |89.02|
|MMLU (5-Shot)                    |64.61|
|TruthfulQA (0-shot)              |76.61|
|Winogrande (5-shot)              |84.69|
|GSM8k (5-shot)                   |68.99|