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Adding Evaluation Results (#1)
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metadata
library_name: transformers
tags:
  - mergekit
  - merge
  - unsloth
  - trl
  - sft
base_model:
  - LeroyDyer/LCARS_TOP_SCORE
  - LeroyDyer/LCARS_AI_StarTrek_Computer
  - LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT
  - LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
model-index:
  - name: SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: HuggingFaceH4/ifeval
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 40.5
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: BBH
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 27.19
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: hendrycks/competition_math
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 5.51
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 5.7
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MuSR (0-shot)
          type: TAUR-Lab/MuSR
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 7.25
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU-PRO (5-shot)
          type: TIGER-Lab/MMLU-Pro
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 21.74
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT_ML_r1
          name: Open LLM Leaderboard

"Success comes from defining each task in achievable steps. Every completed step is a success that brings you closer to your goal. If your steps are unreachable, failure is inevitable. Winners create more winners, while losers do the opposite. Success is a game of winners!"

— # Leroy Dyer (1972-Present)

“Epochs are the key to effective training, rather than merely mass dumping examples—unless those examples are interconnected within a single or multiple conversations that teach through dialogue.”

The Human AI .

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the linear merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:


models:
  - model: LeroyDyer/LCARS_TOP_SCORE
    parameters:
      weight: 0.564
  - model: LeroyDyer/LCARS_AI_StarTrek_Computer
    parameters:
      weight: 0.264
  - model: LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b
    parameters:
      weight: 0.564
  - model: LeroyDyer/SpydazWeb_AI_HumanAI_011_INSTRUCT
    parameters:
      weight: 0.764
merge_method: linear
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 17.98
IFEval (0-Shot) 40.50
BBH (3-Shot) 27.19
MATH Lvl 5 (4-Shot) 5.51
GPQA (0-shot) 5.70
MuSR (0-shot) 7.25
MMLU-PRO (5-shot) 21.74