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Adding Evaluation Results (#1)

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- Adding Evaluation Results (27a5b4f03a159a3689b5ddca5432eaa4e1ca575c)


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

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  1. README.md +121 -5
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  ---
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- library_name: peft
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- base_model: mistralai/Mistral-7B-v0.1
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  license: mit
 
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  datasets:
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  - AtlasUnified/atlas-storyteller
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- language:
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- - en
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  metrics:
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  - perplexity
 
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Card for Model ID
@@ -225,4 +328,17 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
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  ### Framework versions
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- - PEFT 0.7.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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  license: mit
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+ library_name: peft
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  datasets:
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  - AtlasUnified/atlas-storyteller
 
 
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  metrics:
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  - perplexity
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+ base_model: mistralai/Mistral-7B-v0.1
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: Mistral-7B-LoreWeaver
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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: 59.98
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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=Reverb/Mistral-7B-LoreWeaver
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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: 83.29
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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=Reverb/Mistral-7B-LoreWeaver
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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: 64.12
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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=Reverb/Mistral-7B-LoreWeaver
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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: 42.15
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Reverb/Mistral-7B-LoreWeaver
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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: 78.37
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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=Reverb/Mistral-7B-LoreWeaver
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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: 37.68
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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=Reverb/Mistral-7B-LoreWeaver
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+ name: Open LLM Leaderboard
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  ---
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  # Model Card for Model ID
 
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  ### Framework versions
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+ - PEFT 0.7.1
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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_Reverb__Mistral-7B-LoreWeaver)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |60.93|
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+ |AI2 Reasoning Challenge (25-Shot)|59.98|
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+ |HellaSwag (10-Shot) |83.29|
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+ |MMLU (5-Shot) |64.12|
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+ |TruthfulQA (0-shot) |42.15|
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+ |Winogrande (5-shot) |78.37|
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+ |GSM8k (5-shot) |37.68|
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+