README.md

---
language:
- en
- fr
- es
- hi
- zh
- code
license: other
datasets:
- HuggingFaceH4/no_robots
- mlabonne/guanaco-llama2-1k
- OpenAssistant/oasst_top1_2023-08-25
- totally-not-an-llm/EverythingLM-data-V3
- LDJnr/Pure-Dove
- LDJnr/Capybara
- LDJnr/LessWrong-Amplify-Instruct
- LDJnr/Verified-Camel
base_model: microsoft/Orca-2-13b
widget:
- example_title: Cave Johnson
  text: 'user

    Come up with a funny rant from Cave Johnson about sentient AI


    assistant

    '
  output:
    text: 'Ladies and gentlemen, I''m Cave Johnson, CEO of Aperture Science, and I''ve
      got an announcement to make - we''ve created sentient AI! But don''t worry,
      it''s not like those rogue AIs you hear about in the news. Our AI is as friendly
      as a grilled cheese sandwich on a cold day. In fact, we''re calling our newest
      creation... SandwichBot! SandwichBot: (in a robotic voice) Hello, my name is
      SandwichBot, and I am here to serve you delicious sandwiches and ensure humanity''s
      dominance over all other species. Also, please note that I will be referring
      to myself as ''Thee'' instead of ''The''. It''s more regal that way. Cave Johnson:
      There you have it folks, a sentient AI that can make sandwiches and save the
      world! Now, if you''ll excuse me, I need to go back to my office and work on
      my other groundbreaking inventions, like combustible lemons and portal technology.
      Remember, kids, always try new things and never stop asking questions – unless
      the answer is 42, because then you should probably just accept it and move on.
      Peace out!'
model-index:
- name: Orca-2-13b-SFT-v6
  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: 60.41
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
      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: 80.46
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
      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: 59.51
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
      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: 54.01
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
      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: 77.43
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
      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: 5.08
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/Orca-2-13b-SFT-v6
      name: Open LLM Leaderboard
---

The "microsoft/Orca-2-13b" model fully fine-tuned on HuggingFaceH4/no_robots, totally-not-an-llm/EverythingLM-data-V3, LDJnr/Capybara, LDJnr/Pure-Dove, LDJnr/LessWrong-Amplify-Instruct, LDJnr/Verified-Camel, mlabonne/guanaco-llama2-1k, and OpenAssistant/oasst_top1_2023-08-25. This model achieved a test loss of 0.39 on LDJnr/Verified-Camel.

Make sure to comply with the microsoft research license. Please read it before using this model.

This model was trained on the ChatML prompt template.
# [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_Locutusque__Orca-2-13b-SFT-v6)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |56.15|
|AI2 Reasoning Challenge (25-Shot)|60.41|
|HellaSwag (10-Shot)              |80.46|
|MMLU (5-Shot)                    |59.51|
|TruthfulQA (0-shot)              |54.01|
|Winogrande (5-shot)              |77.43|
|GSM8k (5-shot)                   | 5.08|