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Adding Evaluation Results (#1)

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- Adding Evaluation Results (129ecc8d7c0ccef07c3c791c72513e3dee883d73)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  1. README.md +117 -1
README.md CHANGED
@@ -6,6 +6,109 @@ tags:
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  - lazymergekit
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  - dvilasuero/DistilabelBeagle14-7B
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  - teknium/OpenHermes-2.5-Mistral-7B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # DistilabelCerberus-7B-slerp
@@ -41,4 +144,17 @@ dtype: bfloat16
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  |-----------------------------|-------|-----------|-------------|------------|-------|---|---|
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  | OpenHermes-2.5-Mistral-7B | 61.26 | 65.22 | 52.24 | 78.06 | 26.08 | | |
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  | DistilabelBeagle14-7B | ? | ? | 71.66 | ? | ? | | |
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- | DistilabelCerberus-7B-slerp | 65.44 | 69.29 | 60.93 | 79.48 | 69.82 | | |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - lazymergekit
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  - dvilasuero/DistilabelBeagle14-7B
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  - teknium/OpenHermes-2.5-Mistral-7B
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+ model-index:
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+ - name: DistilabelCerberus-7B-slerp
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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: 68.17
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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=Stopwolf/DistilabelCerberus-7B-slerp
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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: 86.78
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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=Stopwolf/DistilabelCerberus-7B-slerp
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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: 64.2
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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=Stopwolf/DistilabelCerberus-7B-slerp
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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: 60.93
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Stopwolf/DistilabelCerberus-7B-slerp
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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: 79.48
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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=Stopwolf/DistilabelCerberus-7B-slerp
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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: 69.83
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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=Stopwolf/DistilabelCerberus-7B-slerp
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+ name: Open LLM Leaderboard
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  ---
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  # DistilabelCerberus-7B-slerp
 
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  |-----------------------------|-------|-----------|-------------|------------|-------|---|---|
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  | OpenHermes-2.5-Mistral-7B | 61.26 | 65.22 | 52.24 | 78.06 | 26.08 | | |
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  | DistilabelBeagle14-7B | ? | ? | 71.66 | ? | ? | | |
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+ | DistilabelCerberus-7B-slerp | 65.44 | 69.29 | 60.93 | 79.48 | 69.82 | | |
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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_Stopwolf__DistilabelCerberus-7B-slerp)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |71.56|
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+ |AI2 Reasoning Challenge (25-Shot)|68.17|
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+ |HellaSwag (10-Shot) |86.78|
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+ |MMLU (5-Shot) |64.20|
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+ |TruthfulQA (0-shot) |60.93|
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+ |Winogrande (5-shot) |79.48|
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+ |GSM8k (5-shot) |69.83|
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+