Text Generation
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Safetensors
English
mistral
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text-generation-inference
Inference Endpoints
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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.

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  1. README.md +121 -4
README.md CHANGED
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  ---
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- base_model: teknium/OpenHermes-2.5-Mistral-7B
 
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  license: apache-2.0
 
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  datasets:
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  - teknium/openhermes
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  - allenai/ultrafeedback_binarized_cleaned
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  - Intel/orca_dpo_pairs
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- language:
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- - en
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- library_name: transformers
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  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # DPOpenHermes 7B v2
@@ -142,3 +245,17 @@ TBD
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  |arc_challenge| 0|acc |0.6271|_ |0.0141|
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  | | |acc_norm|0.6672|_ |0.0138|
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ library_name: transformers
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  datasets:
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  - teknium/openhermes
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  - allenai/ultrafeedback_binarized_cleaned
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  - Intel/orca_dpo_pairs
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+ base_model: teknium/OpenHermes-2.5-Mistral-7B
 
 
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: DPOpenHermes-7B-v2
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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: 66.64
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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=openaccess-ai-collective/DPOpenHermes-7B-v2
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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: 85.22
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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=openaccess-ai-collective/DPOpenHermes-7B-v2
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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: 63.64
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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=openaccess-ai-collective/DPOpenHermes-7B-v2
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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: 59.22
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=openaccess-ai-collective/DPOpenHermes-7B-v2
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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: 79.16
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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=openaccess-ai-collective/DPOpenHermes-7B-v2
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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: 63.61
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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=openaccess-ai-collective/DPOpenHermes-7B-v2
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+ name: Open LLM Leaderboard
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  ---
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  # DPOpenHermes 7B v2
 
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  |arc_challenge| 0|acc |0.6271|_ |0.0141|
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  | | |acc_norm|0.6672|_ |0.0138|
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  ```
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+
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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_openaccess-ai-collective__DPOpenHermes-7B-v2)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |69.58|
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+ |AI2 Reasoning Challenge (25-Shot)|66.64|
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+ |HellaSwag (10-Shot) |85.22|
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+ |MMLU (5-Shot) |63.64|
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+ |TruthfulQA (0-shot) |59.22|
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+ |Winogrande (5-shot) |79.16|
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+ |GSM8k (5-shot) |63.61|
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+