README.md

---
license: cc-by-sa-4.0
pipeline_tag: text-generation
model-index:
- name: Mini_DPO_test02
  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: 59.73
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Minirecord/Mini_DPO_test02
      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: 83.89
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Minirecord/Mini_DPO_test02
      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: 61.9
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Minirecord/Mini_DPO_test02
      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: 48.47
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Minirecord/Mini_DPO_test02
      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: 78.37
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Minirecord/Mini_DPO_test02
      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: 35.03
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Minirecord/Mini_DPO_test02
      name: Open LLM Leaderboard
---

# Mini_synatra_7b_02
# (주)Minirecord에서 파인튜닝한 모델입니다.

<img src = "https://cdn-uploads.huggingface.co/production/uploads/64c1e30e2bac49787a998397/47NT3IZ6y-oNnB96_oJPJ.png" width="30%" height="30%">

The license is cc-by-sa-4.0

## Model Details

### input
models input text only.
### output
models output text only.
### Base Model





## Training Details

### Training Data
# [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_Minirecord__Mini_DPO_test02)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |61.23|
|AI2 Reasoning Challenge (25-Shot)|59.73|
|HellaSwag (10-Shot)              |83.89|
|MMLU (5-Shot)                    |61.90|
|TruthfulQA (0-shot)              |48.47|
|Winogrande (5-shot)              |78.37|
|GSM8k (5-shot)                   |35.03|