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Adding Evaluation Results (#1)

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- Adding Evaluation Results (ef0c79a8d9c4c84e353ba2921e5d85a71a1aa14a)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +110 -1
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: mistralai/Mistral-7B-v0.3
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  tags:
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  - generated_from_trainer
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  - axolotl
 
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  datasets:
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  - cognitivecomputations/Dolphin-2.9
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  - teknium/OpenHermes-2.5
@@ -13,6 +13,101 @@ datasets:
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  - microsoft/orca-math-word-problems-200k
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  - Locutusque/function-calling-chatml
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  - internlm/Agent-FLAN
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dolphin 2.9.3 Mistral 7b v0.3 32k 🐬
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  - "<|im_start|>"
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  - axolotl
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+ base_model: mistralai/Mistral-7B-v0.3
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  datasets:
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  - cognitivecomputations/Dolphin-2.9
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  - teknium/OpenHermes-2.5
 
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  - microsoft/orca-math-word-problems-200k
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  - Locutusque/function-calling-chatml
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  - internlm/Agent-FLAN
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+ model-index:
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+ - name: dolphin-2.9.3-mistral-7B-32k
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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: 41.26
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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=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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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: 26.91
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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=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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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: 4.83
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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=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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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: 4.7
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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=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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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: 17.93
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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=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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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: 20.23
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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=cognitivecomputations/dolphin-2.9.3-mistral-7B-32k
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+ name: Open LLM Leaderboard
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  ---
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  # Dolphin 2.9.3 Mistral 7b v0.3 32k 🐬
 
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  - "<|im_start|>"
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  ```
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+
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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_cognitivecomputations__dolphin-2.9.3-mistral-7B-32k)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |19.31|
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+ |IFEval (0-Shot) |41.26|
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+ |BBH (3-Shot) |26.91|
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+ |MATH Lvl 5 (4-Shot)| 4.83|
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+ |GPQA (0-shot) | 4.70|
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+ |MuSR (0-shot) |17.93|
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+ |MMLU-PRO (5-shot) |20.23|
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+