---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- chat
pipeline_tag: text-generation
model-index:
- name: Experiment26-7B
  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: 73.38
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yam-peleg/Experiment26-7B
      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: 89.15
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yam-peleg/Experiment26-7B
      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: 64.32
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yam-peleg/Experiment26-7B
      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: 78.24
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yam-peleg/Experiment26-7B
      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: 84.93
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yam-peleg/Experiment26-7B
      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: 70.43
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yam-peleg/Experiment26-7B
      name: Open LLM Leaderboard
---
**Experiment26-7B**

An experiment for testing and refining a specific training and evaluation pipeline research framework.

This experiment aims to identify potential optimizations, focusing on data engineering, architecture efficiency, and evaluation performance.

The goal is to evaluate the effectiveness of a new training / evaluation pipeline for LLMs.

The experiment will explore adjustments in data preprocessing, model training algorithms, and evaluation metrics to test methods for improvement.

More details in the future experiments.


---
license: apache-2.0
---
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_yam-peleg__Experiment26-7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |76.74|
|AI2 Reasoning Challenge (25-Shot)|73.38|
|HellaSwag (10-Shot)              |89.15|
|MMLU (5-Shot)                    |64.32|
|TruthfulQA (0-shot)              |78.24|
|Winogrande (5-shot)              |84.93|
|GSM8k (5-shot)                   |70.43|