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Adding Evaluation Results

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This is an automated PR created with [this space](https://huggingface.co/spaces/T145/open-llm-leaderboard-results-to-modelcard)!

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

Please report any issues here: https://huggingface.co/spaces/T145/open-llm-leaderboard-results-to-modelcard/discussions

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  1. README.md +113 -0
README.md CHANGED
@@ -13,6 +13,105 @@ datasets:
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  - arcee/agent_data
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  - PawanKrd/math-gpt-4o-200k
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  - cognitivecomputations/SystemChat-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dolphin 2.9.4 Llama 3.1 8b 🐬
@@ -405,3 +504,17 @@ The following hyperparameters were used during training:
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - arcee/agent_data
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  - PawanKrd/math-gpt-4o-200k
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  - cognitivecomputations/SystemChat-2.0
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+ model-index:
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+ - name: dolphin-2.9.4-llama3.1-8b
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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: wis-k/instruction-following-eval
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+ split: train
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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: 27.57
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+ name: averaged accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=cognitivecomputations%2Fdolphin-2.9.4-llama3.1-8b
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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: SaylorTwift/bbh
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+ split: test
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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: 8.97
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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#/?search=cognitivecomputations%2Fdolphin-2.9.4-llama3.1-8b
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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: lighteval/MATH-Hard
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+ split: test
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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: 0.15
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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#/?search=cognitivecomputations%2Fdolphin-2.9.4-llama3.1-8b
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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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+ split: train
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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: 1.79
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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#/?search=cognitivecomputations%2Fdolphin-2.9.4-llama3.1-8b
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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: 0.62
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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#/?search=cognitivecomputations%2Fdolphin-2.9.4-llama3.1-8b
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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: 2.63
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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#/?search=cognitivecomputations%2Fdolphin-2.9.4-llama3.1-8b
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+ name: Open LLM Leaderboard
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  ---
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  # Dolphin 2.9.4 Llama 3.1 8b 🐬
 
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  - Pytorch 2.4.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
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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/cognitivecomputations__dolphin-2.9.4-llama3.1-8b-details)!
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+ Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=cognitivecomputations%2Fdolphin-2.9.4-llama3.1-8b&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
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+
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+ | Metric |Value (%)|
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+ |-------------------|--------:|
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+ |**Average** | 6.96|
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+ |IFEval (0-Shot) | 27.57|
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+ |BBH (3-Shot) | 8.97|
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+ |MATH Lvl 5 (4-Shot)| 0.15|
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+ |GPQA (0-shot) | 1.79|
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+ |MuSR (0-shot) | 0.62|
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+ |MMLU-PRO (5-shot) | 2.63|
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+