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Adding Evaluation Results (#1)

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- Adding Evaluation Results (7822444c1eb270c1918b685f4388cf3cd88b85fe)


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

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  1. README.md +121 -4
README.md CHANGED
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  ---
 
 
 
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  tags:
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  - chatml
 
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  datasets:
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  - HuggingFaceH4/ultrachat_200k
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  - teknium/OpenHermes-2.5
@@ -11,13 +15,126 @@ datasets:
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  - m-a-p/Code-Feedback
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  - ise-uiuc/Magicoder-Evol-Instruct-110K
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  - ise-uiuc/Magicoder-OSS-Instruct-75K
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- language:
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- - en
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- base_model: google/gemma-2b
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- license: other
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  license_name: gemma-terms-of-use
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  license_link: https://ai.google.dev/gemma/terms
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  This is just a preview model. It is a finetuned gemma-2b with added chatml tokens.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ license: other
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  tags:
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  - chatml
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+ base_model: google/gemma-2b
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  datasets:
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  - HuggingFaceH4/ultrachat_200k
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  - teknium/OpenHermes-2.5
 
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  - m-a-p/Code-Feedback
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  - ise-uiuc/Magicoder-Evol-Instruct-110K
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  - ise-uiuc/Magicoder-OSS-Instruct-75K
 
 
 
 
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  license_name: gemma-terms-of-use
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  license_link: https://ai.google.dev/gemma/terms
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+ model-index:
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+ - name: new_model_test
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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: 52.56
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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=pansophic/new_model_test
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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: 73.65
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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=pansophic/new_model_test
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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: 46.02
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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=pansophic/new_model_test
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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: 51.25
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pansophic/new_model_test
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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: 66.38
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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=pansophic/new_model_test
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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: 37.91
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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=pansophic/new_model_test
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+ name: Open LLM Leaderboard
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  ---
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  This is just a preview model. It is a finetuned gemma-2b with added chatml tokens.
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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_pansophic__new_model_test)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |54.63|
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+ |AI2 Reasoning Challenge (25-Shot)|52.56|
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+ |HellaSwag (10-Shot) |73.65|
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+ |MMLU (5-Shot) |46.02|
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+ |TruthfulQA (0-shot) |51.25|
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+ |Winogrande (5-shot) |66.38|
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+ |GSM8k (5-shot) |37.91|
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+