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Adding Evaluation Results (#3)

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- Adding Evaluation Results (d8a268bfa384214313c1a60559d1f927461da8a6)


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

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  1. README.md +120 -4
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  ---
 
 
 
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  datasets:
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  - ehartford/dolphin
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  - jondurbin/airoboros-2.2.1
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  - ise-uiuc/Magicoder-Evol-Instruct-110K
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  - LDJnr/Capybara
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  - argilla/ultrafeedback-binarized-preferences-cleaned
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- language:
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- - en
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Dolphin 2.6 Mistral 7b - DPO 🐬
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  [If you would like to financially support my efforts](https://ko-fi.com/erichartford)
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- [swag](https://fa7113.myshopify.com/)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ license: apache-2.0
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  datasets:
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  - ehartford/dolphin
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  - jondurbin/airoboros-2.2.1
 
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  - ise-uiuc/Magicoder-Evol-Instruct-110K
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  - LDJnr/Capybara
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  - argilla/ultrafeedback-binarized-preferences-cleaned
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+ model-index:
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+ - name: dolphin-2.6-mistral-7b-dpo
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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: 65.61
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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=cognitivecomputations/dolphin-2.6-mistral-7b-dpo
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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: 85.48
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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=cognitivecomputations/dolphin-2.6-mistral-7b-dpo
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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: 63.24
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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=cognitivecomputations/dolphin-2.6-mistral-7b-dpo
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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: 61.47
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.6-mistral-7b-dpo
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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: 78.61
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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=cognitivecomputations/dolphin-2.6-mistral-7b-dpo
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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: 48.75
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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=cognitivecomputations/dolphin-2.6-mistral-7b-dpo
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+ name: Open LLM Leaderboard
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  ---
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  Dolphin 2.6 Mistral 7b - DPO 🐬
 
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  [If you would like to financially support my efforts](https://ko-fi.com/erichartford)
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+ [swag](https://fa7113.myshopify.com/)
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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_cognitivecomputations__dolphin-2.6-mistral-7b-dpo)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |67.20|
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+ |AI2 Reasoning Challenge (25-Shot)|65.61|
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+ |HellaSwag (10-Shot) |85.48|
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+ |MMLU (5-Shot) |63.24|
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+ |TruthfulQA (0-shot) |61.47|
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+ |Winogrande (5-shot) |78.61|
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+ |GSM8k (5-shot) |48.75|
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+