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Adding Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

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  1. README.md +122 -6
README.md CHANGED
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  ---
 
 
 
 
 
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  base_model:
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  - ResplendentAI/Aura_Uncensored_l3_8B
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  - meta-llama/Meta-Llama-3-8B-Instruct
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  - ResplendentAI/Kei_Llama3_8B
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  - Undi95/Llama-3-Unholy-8B
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  - vicgalle/Roleplay-Llama-3-8B
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- library_name: transformers
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- tags:
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- - mergekit
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- - merge
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- license: llama3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # merge
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@@ -57,4 +160,17 @@ parameters:
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  normalize: false
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  int8_mask: true
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  dtype: bfloat16
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: llama3
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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  base_model:
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  - ResplendentAI/Aura_Uncensored_l3_8B
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  - meta-llama/Meta-Llama-3-8B-Instruct
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  - ResplendentAI/Kei_Llama3_8B
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  - Undi95/Llama-3-Unholy-8B
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  - vicgalle/Roleplay-Llama-3-8B
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+ model-index:
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+ - name: L3-RP_io
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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: 63.05
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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=Azazelle/L3-RP_io
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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: 79.86
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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=Azazelle/L3-RP_io
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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: 67.92
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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=Azazelle/L3-RP_io
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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: 52.9
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Azazelle/L3-RP_io
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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: 75.69
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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=Azazelle/L3-RP_io
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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: 67.85
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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=Azazelle/L3-RP_io
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+ name: Open LLM Leaderboard
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  ---
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  # merge
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  normalize: false
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  int8_mask: true
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  dtype: bfloat16
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+ ```
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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_Azazelle__L3-RP_io)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |67.88|
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+ |AI2 Reasoning Challenge (25-Shot)|63.05|
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+ |HellaSwag (10-Shot) |79.86|
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+ |MMLU (5-Shot) |67.92|
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+ |TruthfulQA (0-shot) |52.90|
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+ |Winogrande (5-shot) |75.69|
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+ |GSM8k (5-shot) |67.85|
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+