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Adding Evaluation Results (#3)
Browse files- Adding Evaluation Results (8b8b825f805891c1d94719ae9da5e41e8774fc44)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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license: apache-2.0
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---
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![Tesoro](https://huggingface.co/migtissera/Tess-M-v1.0/resolve/main/Tess.png)
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answer = generate_text(llm_prompt)
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print(answer)
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conversation = f"{llm_prompt}{answer}<|im_end|>\n<|im_start|>user\n"
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-
```
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---
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license: apache-2.0
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model-index:
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- name: Tess-3-Mistral-Nemo-12B
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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: 33.55
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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=migtissera/Tess-3-Mistral-Nemo-12B
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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: 28.04
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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=migtissera/Tess-3-Mistral-Nemo-12B
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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: 4.68
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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=migtissera/Tess-3-Mistral-Nemo-12B
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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: 0.11
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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=migtissera/Tess-3-Mistral-Nemo-12B
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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: 15.49
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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=migtissera/Tess-3-Mistral-Nemo-12B
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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: 17.39
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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=migtissera/Tess-3-Mistral-Nemo-12B
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name: Open LLM Leaderboard
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---
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![Tesoro](https://huggingface.co/migtissera/Tess-M-v1.0/resolve/main/Tess.png)
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answer = generate_text(llm_prompt)
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print(answer)
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conversation = f"{llm_prompt}{answer}<|im_end|>\n<|im_start|>user\n"
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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_migtissera__Tess-3-Mistral-Nemo-12B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |16.54|
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|IFEval (0-Shot) |33.55|
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|BBH (3-Shot) |28.04|
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|MATH Lvl 5 (4-Shot)| 4.68|
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|GPQA (0-shot) | 0.11|
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|MuSR (0-shot) |15.49|
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|MMLU-PRO (5-shot) |17.39|
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