README.md

---
license: llama2
model-index:
- name: kaori-70b-v1
  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: 69.8
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KaeriJenti/kaori-70b-v1
      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: 87.36
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KaeriJenti/kaori-70b-v1
      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: 70.82
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KaeriJenti/kaori-70b-v1
      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: 58.81
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KaeriJenti/kaori-70b-v1
      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: 84.06
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KaeriJenti/kaori-70b-v1
      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: 52.39
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=KaeriJenti/kaori-70b-v1
      name: Open LLM Leaderboard
---

<h1>kaori-70b-v1  Model Card</h1>


<h3>Datasets:</h3>

 - Open-Platypus
 - dolphin
 - OpenOrca

This Model Finetuned By Kaeri and Jenti.


<h3>Framework:</h3>

 - https://github.com/hiyouga/LLaMA-Efficient-Tuning


<h3>Parameters:</h3>

 - Finetune_Type  :	 QLoRA
 - GPUs           :  A100x4(80GB)
 - Epochs         :  1
 - Batchsize      :  8


# [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_KaeriJenti__kaori-70b-v1)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |70.54|
|AI2 Reasoning Challenge (25-Shot)|69.80|
|HellaSwag (10-Shot)              |87.36|
|MMLU (5-Shot)                    |70.82|
|TruthfulQA (0-shot)              |58.81|
|Winogrande (5-shot)              |84.06|
|GSM8k (5-shot)                   |52.39|