README.md

metadata

language:
  - en
license: apache-2.0
model-index:
  - name: GreenNodeLM-7B-v1olet
    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: 72.61
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GreenNode/GreenNodeLM-7B-v1olet
          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: 87.7
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GreenNode/GreenNodeLM-7B-v1olet
          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: 63.51
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GreenNode/GreenNodeLM-7B-v1olet
          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: 69.07
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GreenNode/GreenNodeLM-7B-v1olet
          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: 82.32
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GreenNode/GreenNodeLM-7B-v1olet
          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: 66.87
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GreenNode/GreenNodeLM-7B-v1olet
          name: Open LLM Leaderboard

[December 2023] We are ranked 4th on the overall leaderboard and 1st in the 7B leaderboard! 🔥🔥🔥🔥

DPO from the model ranked 6th on the overall leaderboard and 1st in the 7B leaderboard (12th December 2023) - v1olet/v1olet_marcoroni-go-bruins-merge-7B https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B

Training data: comparison_gpt4_en,en_orca_dpo

Train for 1 epoch.

You can use alpaca template.

template_format = """{system}

### Instruction:
{prompt}

### Response:
"""

Developed by: Trong-Hieu Nguyen-Mau

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	73.68
AI2 Reasoning Challenge (25-Shot)	72.61
HellaSwag (10-Shot)	87.70
MMLU (5-Shot)	63.51
TruthfulQA (0-shot)	69.07
Winogrande (5-shot)	82.32
GSM8k (5-shot)	66.87