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Adding Evaluation Results (#5)

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- Adding Evaluation Results (6880d91b9b720bad880b60037a8f955652c405d9)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  1. README.md +124 -8
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  ---
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  license: llama2
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- model_type: llama
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  tags:
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- - facebook
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- - meta
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- - pytorch
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- - llama
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- - llama-2
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- - Storywriter
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ![GOAT-70B-Storytelling](https://assets.adapt.ws/files/20231117_ehznrqludevtapck.png)
@@ -67,4 +170,17 @@ GOAT-70B-Storytelling model is based on [Meta's LLaMA-2-70b-hf](https://huggingf
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  GOAT-70B-Storytelling model weights are available under LLAMA-2 license.
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  ### Risks and Biases
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- GOAT-70B-Storytelling model can produce factually incorrect output and should not be relied on to deliver factually accurate information. Therefore, the GOAT-70B-Storytelling model could possibly generate wrong, biased, or otherwise offensive outputs.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: llama2
 
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  tags:
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+ - facebook
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+ - meta
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+ - pytorch
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+ - llama
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+ - llama-2
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+ - Storywriter
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+ model_type: llama
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+ model-index:
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+ - name: GOAT-70B-Storytelling
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 68.77
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GOAT-AI/GOAT-70B-Storytelling
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 87.74
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GOAT-AI/GOAT-70B-Storytelling
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU (5-Shot)
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+ type: cais/mmlu
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+ config: all
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 69.92
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GOAT-AI/GOAT-70B-Storytelling
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 53.53
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GOAT-AI/GOAT-70B-Storytelling
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 83.5
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GOAT-AI/GOAT-70B-Storytelling
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GSM8k (5-shot)
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+ type: gsm8k
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 40.79
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=GOAT-AI/GOAT-70B-Storytelling
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+ name: Open LLM Leaderboard
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  ---
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  ![GOAT-70B-Storytelling](https://assets.adapt.ws/files/20231117_ehznrqludevtapck.png)
 
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  GOAT-70B-Storytelling model weights are available under LLAMA-2 license.
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  ### Risks and Biases
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+ GOAT-70B-Storytelling model can produce factually incorrect output and should not be relied on to deliver factually accurate information. Therefore, the GOAT-70B-Storytelling model could possibly generate wrong, biased, or otherwise offensive outputs.
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_GOAT-AI__GOAT-70B-Storytelling)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |67.38|
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+ |AI2 Reasoning Challenge (25-Shot)|68.77|
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+ |HellaSwag (10-Shot) |87.74|
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+ |MMLU (5-Shot) |69.92|
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+ |TruthfulQA (0-shot) |53.53|
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+ |Winogrande (5-shot) |83.50|
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+ |GSM8k (5-shot) |40.79|
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+