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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 +122 -6
README.md CHANGED
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  ---
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- license: apache-2.0
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  language:
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  - en
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- metrics:
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- - accuracy
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- - bertscore
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- - bleu
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  tags:
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  - slm
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  - llama
@@ -14,6 +10,113 @@ tags:
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  datasets:
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  - HuggingFaceH4/ultrachat_200k
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  - HuggingFaceH4/ultrafeedback_binarized
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Card for Model ID
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@@ -56,4 +159,17 @@ Stay Connected with AI Hub:
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  - [LinkedIn](https://www.linkedin.com/company/aihub-app/)
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  - [Download AI Hub App](https://ai-hub.app.link/install)
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- - Email: [hello@getaihub.app](mailto:hello@getaihub.app)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  tags:
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  - slm
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  - llama
 
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  datasets:
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  - HuggingFaceH4/ultrachat_200k
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  - HuggingFaceH4/ultrafeedback_binarized
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+ metrics:
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+ - accuracy
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+ - bertscore
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+ - bleu
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+ model-index:
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+ - name: zyte-1B
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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: 37.88
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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=aihub-app/zyte-1B
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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: 61.37
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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=aihub-app/zyte-1B
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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: 24.61
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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=aihub-app/zyte-1B
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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: 42.14
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aihub-app/zyte-1B
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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: 61.96
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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=aihub-app/zyte-1B
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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: 1.44
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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=aihub-app/zyte-1B
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+ name: Open LLM Leaderboard
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  ---
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  # Model Card for Model ID
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  - [LinkedIn](https://www.linkedin.com/company/aihub-app/)
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  - [Download AI Hub App](https://ai-hub.app.link/install)
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+ - Email: [hello@getaihub.app](mailto:hello@getaihub.app)
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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_aihub-app__zyte-1B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |38.23|
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+ |AI2 Reasoning Challenge (25-Shot)|37.88|
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+ |HellaSwag (10-Shot) |61.37|
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+ |MMLU (5-Shot) |24.61|
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+ |TruthfulQA (0-shot) |42.14|
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+ |Winogrande (5-shot) |61.96|
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+ |GSM8k (5-shot) | 1.44|
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+