---
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! 
🔥🔥🔥🔥

![image/png](https://cdn-uploads.huggingface.co/production/uploads/63c06fba8d1175e3399c16e6/yEPpr0V-D9V4m1a2pMuQs.png)

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](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_GreenNode__GreenNodeLM-7B-v1olet)

|             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|