Misted-7B / README.md
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Adding Evaluation Results (#1)
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metadata
language:
  - en
license: apache-2.0
pipeline_tag: text-generation
model-index:
  - name: Misted-7B
    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: 63.65
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-7B
          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: 84.14
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-7B
          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: 63.94
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-7B
          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: 52
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-7B
          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: 78.3
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-7B
          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: 59.59
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Walmart-the-bag/Misted-7B
          name: Open LLM Leaderboard

Model Yaml

base_model: teknium/OpenHermes-2-Mistral-7B
models:
      - model: teknium/OpenHermes-2-Mistral-7B
      - model: Open-Orca/Mistral-7B-SlimOrca
merge_method: slerp
parameters:
  t:
    - value: 0.32
dtype: float16

Prompt Format

Alpaca
### Instruction:

### Response: 

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 66.94
AI2 Reasoning Challenge (25-Shot) 63.65
HellaSwag (10-Shot) 84.14
MMLU (5-Shot) 63.94
TruthfulQA (0-shot) 52.00
Winogrande (5-shot) 78.30
GSM8k (5-shot) 59.59