metadata

license: apache-2.0
tags:
  - MetaModelv2
  - merge
model-index:
  - name: MetaModelv2
    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: 71.08
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=gagan3012/MetaModelv2
          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: 88.56
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=gagan3012/MetaModelv2
          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: 66.29
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=gagan3012/MetaModelv2
          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: 71.94
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=gagan3012/MetaModelv2
          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: 83.11
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=gagan3012/MetaModelv2
          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: 64.44
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=gagan3012/MetaModelv2
          name: Open LLM Leaderboard

MetaModelv2

This model is a hybrid of the following models and is trained using the following configuration:

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	74.24
ARC (25-shot)	71.08
HellaSwag (10-shot)	88.56
MMLU (5-shot)	66.29
TruthfulQA (0-shot)	71.94
Winogrande (5-shot)	83.11
GSM8K (5-shot)	64.44

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	74.24
AI2 Reasoning Challenge (25-Shot)	71.08
HellaSwag (10-Shot)	88.56
MMLU (5-Shot)	66.29
TruthfulQA (0-shot)	71.94
Winogrande (5-shot)	83.11
GSM8k (5-shot)	64.44