README.md

metadata

license: apache-2.0
library_name: transformers
base_model:
  - microsoft/Phi-3-medium-4k-instruct
datasets:
  - mlabonne/orpo-dpo-mix-40k
pipeline_tag: text2text-generation
model-index:
  - name: Neos-Phi-3-14B-v0.1
    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: 40.22
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Phi-3-14B-v0.1
          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: 46.63
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Phi-3-14B-v0.1
          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: 16.69
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Phi-3-14B-v0.1
          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: 7.38
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Phi-3-14B-v0.1
          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: 10.53
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Phi-3-14B-v0.1
          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: 39.6
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=BlackBeenie/Neos-Phi-3-14B-v0.1
          name: Open LLM Leaderboard

Model Card for Model ID

microsoft/Phi-3-medium-4k-instruct trained with ORPO trainer.

Training Details

Training Data

mlabonne/orpo-dpo-mix-40k is used for finetuning this model.

[More Information Needed]

Training Procedure

Trained with ORPO trainer, and only first 5K rows are used for finetuning (5K out of 40K).

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	26.84
IFEval (0-Shot)	40.22
BBH (3-Shot)	46.63
MATH Lvl 5 (4-Shot)	16.69
GPQA (0-shot)	7.38
MuSR (0-shot)	10.53
MMLU-PRO (5-shot)	39.60