ECE-PRYMMAL1B-FT-V1 / README.md
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Adding Evaluation Results (#1)
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metadata
license: apache-2.0
library_name: transformers
base_model:
  - LilRg/ECE-1B-merge-PRYMMAL
datasets:
  - mosaicml/instruct-v3
pipeline_tag: text-generation
model-index:
  - name: ECE-PRYMMAL1B-FT-V1
    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: 21.44
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL1B-FT-V1
          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: 16.19
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL1B-FT-V1
          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: 6.12
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL1B-FT-V1
          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: 3.8
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL1B-FT-V1
          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: 3.87
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL1B-FT-V1
          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: 19.36
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/ECE-PRYMMAL1B-FT-V1
          name: Open LLM Leaderboard

Model Description

The model you’re using is based on LilRg/ECE-1B-merge-PRYMMAL. Through specialized fine-tuning, this model has been trained to become highly proficient in solving complex problems. By using a dataset specifically focused on instructions (mosaicml/instruct-v3), it has gained the ability to handle advanced reasoning.

  • Developed by: Youri Lalain (@Youlln)
  • Organization: ECE engineering school

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 11.80
IFEval (0-Shot) 21.44
BBH (3-Shot) 16.19
MATH Lvl 5 (4-Shot) 6.12
GPQA (0-shot) 3.80
MuSR (0-shot) 3.87
MMLU-PRO (5-shot) 19.36