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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 +113 -3
README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: speakleash/Bielik-11B-v2
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  language:
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  - pl
 
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  library_name: transformers
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  tags:
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  - finetuned
 
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  inference:
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  parameters:
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  temperature: 0.2
@@ -13,7 +13,103 @@ widget:
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  - messages:
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  - role: user
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  content: Co przedstawia polskie godło?
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- extra_gated_description: If you want to learn more about how you can use the model, please refer to our <a href="https://bielik.ai/terms/">Terms of Use</a>.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <p align="center">
@@ -398,3 +494,17 @@ Members of the ACK Cyfronet AGH team providing valuable support and expertise:
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  ## Contact Us
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  If you have any questions or suggestions, please use the discussion tab. If you want to contact us directly, join our [Discord SpeakLeash](https://discord.gg/pv4brQMDTy).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
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  language:
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  - pl
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+ license: apache-2.0
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  library_name: transformers
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  tags:
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  - finetuned
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+ base_model: speakleash/Bielik-11B-v2
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  inference:
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  parameters:
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  temperature: 0.2
 
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  - messages:
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  - role: user
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  content: Co przedstawia polskie godło?
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+ extra_gated_description: If you want to learn more about how you can use the model,
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+ please refer to our <a href="https://bielik.ai/terms/">Terms of Use</a>.
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+ model-index:
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+ - name: Bielik-11B-v2.1-Instruct
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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: IFEval (0-Shot)
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+ type: HuggingFaceH4/ifeval
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: inst_level_strict_acc and prompt_level_strict_acc
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+ value: 50.9
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+ name: strict accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=speakleash/Bielik-11B-v2.1-Instruct
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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: BBH (3-Shot)
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+ type: BBH
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc_norm
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+ value: 36.29
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=speakleash/Bielik-11B-v2.1-Instruct
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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: MATH Lvl 5 (4-Shot)
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+ type: hendrycks/competition_math
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+ args:
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+ num_few_shot: 4
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+ metrics:
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+ - type: exact_match
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+ value: 0.6
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+ name: exact match
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=speakleash/Bielik-11B-v2.1-Instruct
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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: GPQA (0-shot)
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+ type: Idavidrein/gpqa
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 11.63
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=speakleash/Bielik-11B-v2.1-Instruct
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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: MuSR (0-shot)
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+ type: TAUR-Lab/MuSR
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 10.52
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=speakleash/Bielik-11B-v2.1-Instruct
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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-PRO (5-shot)
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+ type: TIGER-Lab/MMLU-Pro
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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: 27.18
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=speakleash/Bielik-11B-v2.1-Instruct
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+ name: Open LLM Leaderboard
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  ---
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  <p align="center">
 
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  ## Contact Us
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  If you have any questions or suggestions, please use the discussion tab. If you want to contact us directly, join our [Discord SpeakLeash](https://discord.gg/pv4brQMDTy).
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+
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_speakleash__Bielik-11B-v2.1-Instruct)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |22.85|
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+ |IFEval (0-Shot) |50.90|
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+ |BBH (3-Shot) |36.29|
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+ |MATH Lvl 5 (4-Shot)| 0.60|
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+ |GPQA (0-shot) |11.63|
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+ |MuSR (0-shot) |10.52|
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+ |MMLU-PRO (5-shot) |27.18|
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+