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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 +117 -1
README.md CHANGED
@@ -7,6 +7,109 @@ tags:
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  - FelixChao/WestSeverus-7B-DPO-v2
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  - CultriX/Wernicke-7B-v9
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  - mlabonne/NeuralBeagle14-7B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Open-LLM Benchmark Results:
@@ -60,4 +163,17 @@ parameters:
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  value: 0.5
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  dtype: float16
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - FelixChao/WestSeverus-7B-DPO-v2
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  - CultriX/Wernicke-7B-v9
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  - mlabonne/NeuralBeagle14-7B
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+ model-index:
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+ - name: RandomMergeNoNormWEIGHTED-7B-DARETIES
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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: 73.38
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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=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
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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: 88.5
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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=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
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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: 64.94
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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=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
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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: 71.5
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
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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: 83.58
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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=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
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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: 70.28
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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=jsfs11/RandomMergeNoNormWEIGHTED-7B-DARETIES
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+ name: Open LLM Leaderboard
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  ---
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  # Open-LLM Benchmark Results:
 
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  value: 0.5
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  dtype: float16
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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_jsfs11__RandomMergeNoNormWEIGHTED-7B-DARETIES)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |75.36|
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+ |AI2 Reasoning Challenge (25-Shot)|73.38|
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+ |HellaSwag (10-Shot) |88.50|
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+ |MMLU (5-Shot) |64.94|
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+ |TruthfulQA (0-shot) |71.50|
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+ |Winogrande (5-shot) |83.58|
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+ |GSM8k (5-shot) |70.28|
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+