Adding Evaluation Results
#2
by
MariaFilipkowska
- opened
README.md
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---
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license: apache-2.0
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base_model:
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- speakleash/Bielik-11B-v2
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- speakleash/Bielik-11B-v2.0-Instruct
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- speakleash/Bielik-11B-v2.1-Instruct
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- speakleash/Bielik-11B-v2.2-Instruct
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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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- merge
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- mergekit
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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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---
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<p align="center">
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@@ -392,3 +488,17 @@ 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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- merge
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- mergekit
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base_model:
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- speakleash/Bielik-11B-v2
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- speakleash/Bielik-11B-v2.0-Instruct
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- speakleash/Bielik-11B-v2.1-Instruct
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- speakleash/Bielik-11B-v2.2-Instruct
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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-v2.3-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: 55.83
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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-v2.3-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: 38.06
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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-v2.3-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: 8.01
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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-v2.3-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: 12.08
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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-v2.3-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: 16.01
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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-v2.3-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: 27.16
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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-v2.3-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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# [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/speakleash__Bielik-11B-v2.3-Instruct-details)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |26.19|
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|IFEval (0-Shot) |55.83|
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|BBH (3-Shot) |38.06|
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|MATH Lvl 5 (4-Shot)| 8.01|
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|GPQA (0-shot) |12.08|
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|MuSR (0-shot) |16.01|
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|MMLU-PRO (5-shot) |27.16|
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