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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 +109 -1
README.md CHANGED
@@ -6,6 +6,101 @@ tags:
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  - lazymergekit
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  - Qwen/Qwen2-72B-Instruct
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  - cognitivecomputations/dolphin-2.9.2-qwen2-72b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # ECE-ILAB-Q1
@@ -31,4 +126,17 @@ merge-qwen2-72B is a merge of the following models using [mergekit](https://gith
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  * [Qwen/Qwen2-72B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct)
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  * [cognitivecomputations/dolphin-2.9.2-qwen2-72b](https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-72b)
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- ## 🧩 Configuration
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - lazymergekit
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  - Qwen/Qwen2-72B-Instruct
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  - cognitivecomputations/dolphin-2.9.2-qwen2-72b
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+ model-index:
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+ - name: ECE-ILAB-Q1
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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: IFEval (0-Shot)
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+ type: HuggingFaceH4/ifeval
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: inst_level_strict_acc and prompt_level_strict_acc
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+ value: 78.65
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+ name: strict accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paulml/ECE-ILAB-Q1
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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: BBH (3-Shot)
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+ type: BBH
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc_norm
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+ value: 53.7
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paulml/ECE-ILAB-Q1
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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: MATH Lvl 5 (4-Shot)
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+ type: hendrycks/competition_math
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+ args:
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+ num_few_shot: 4
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+ metrics:
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+ - type: exact_match
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+ value: 26.13
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+ name: exact match
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paulml/ECE-ILAB-Q1
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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: GPQA (0-shot)
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+ type: Idavidrein/gpqa
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 18.23
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paulml/ECE-ILAB-Q1
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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: MuSR (0-shot)
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+ type: TAUR-Lab/MuSR
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 18.81
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paulml/ECE-ILAB-Q1
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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-PRO (5-shot)
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+ type: TIGER-Lab/MMLU-Pro
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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: 50.06
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paulml/ECE-ILAB-Q1
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+ name: Open LLM Leaderboard
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  ---
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  # ECE-ILAB-Q1
 
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  * [Qwen/Qwen2-72B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct)
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  * [cognitivecomputations/dolphin-2.9.2-qwen2-72b](https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-72b)
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+ ## 🧩 Configuration
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_paulml__ECE-ILAB-Q1)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |40.93|
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+ |IFEval (0-Shot) |78.65|
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+ |BBH (3-Shot) |53.70|
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+ |MATH Lvl 5 (4-Shot)|26.13|
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+ |GPQA (0-shot) |18.23|
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+ |MuSR (0-shot) |18.81|
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+ |MMLU-PRO (5-shot) |50.06|
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+