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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.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

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  1. README.md +120 -5
README.md CHANGED
@@ -1,13 +1,115 @@
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  ---
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  license: apache-2.0
 
 
 
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  datasets:
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  - argilla/distilabel-intel-orca-dpo-pairs
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  base_model: sethuiyer/Chikuma_10.7B
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- library_name: transformers
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  pipeline_tag: text-generation
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- tags:
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- - dpo
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Chikuma_10.7B - V2 (Enhanced with DPO) [For Experiments]
@@ -116,4 +218,17 @@ A heartfelt appreciation goes to the vibrant open-source community, particularly
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  * The Intel team for publishing a great open dataset and show how well it worked in the first place
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  * Teknium and NousResearch for their awesome work and models.
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  * Maxime for sharing such great resources.
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- * Argilla for publishing argilla/distilabel-intel-orca-dpo-pairs
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ library_name: transformers
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+ tags:
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+ - dpo
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  datasets:
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  - argilla/distilabel-intel-orca-dpo-pairs
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  base_model: sethuiyer/Chikuma_10.7B
 
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  pipeline_tag: text-generation
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+ model-index:
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+ - name: distilabled_Chikuma_10.7B
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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: 66.38
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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=sethuiyer/distilabled_Chikuma_10.7B
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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: 85.14
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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=sethuiyer/distilabled_Chikuma_10.7B
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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: 64.7
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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=sethuiyer/distilabled_Chikuma_10.7B
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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: 59.2
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/distilabled_Chikuma_10.7B
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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: 79.4
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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=sethuiyer/distilabled_Chikuma_10.7B
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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: 58.38
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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=sethuiyer/distilabled_Chikuma_10.7B
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+ name: Open LLM Leaderboard
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  ---
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  # Chikuma_10.7B - V2 (Enhanced with DPO) [For Experiments]
 
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  * The Intel team for publishing a great open dataset and show how well it worked in the first place
219
  * Teknium and NousResearch for their awesome work and models.
220
  * Maxime for sharing such great resources.
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+ * Argilla for publishing argilla/distilabel-intel-orca-dpo-pairs
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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_sethuiyer__distilabled_Chikuma_10.7B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |68.87|
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+ |AI2 Reasoning Challenge (25-Shot)|66.38|
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+ |HellaSwag (10-Shot) |85.14|
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+ |MMLU (5-Shot) |64.70|
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+ |TruthfulQA (0-shot) |59.20|
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+ |Winogrande (5-shot) |79.40|
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+ |GSM8k (5-shot) |58.38|
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+