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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (5aa86626e6964a756ab62b15a85e8d7924202a5b)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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license: apache-2.0
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datasets:
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- allenai/tulu-3-sft-mixture
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- allenai/llama-3.1-tulu-3-8b-preference-mixture
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language:
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- en
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base_model:
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- HuggingFaceTB/SmolLM2-1.7B-Instruct
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---
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# SmolLM2-MedIT-Upscale-2B
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@@ -76,4 +171,17 @@ If you use this model in your research, please cite it as follows:
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publisher = {Hugging Face},
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url = {https://huggingface.co/meditsolutions/SmolLM2-MedIT-Upscale-2B},
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}
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```
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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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base_model:
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- HuggingFaceTB/SmolLM2-1.7B-Instruct
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datasets:
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- allenai/tulu-3-sft-mixture
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- allenai/llama-3.1-tulu-3-8b-preference-mixture
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model-index:
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- name: SmolLM2-MedIT-Upscale-2B
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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: 64.29
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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=meditsolutions/SmolLM2-MedIT-Upscale-2B
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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: 10.51
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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=meditsolutions/SmolLM2-MedIT-Upscale-2B
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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: 1.06
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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=meditsolutions/SmolLM2-MedIT-Upscale-2B
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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: 1.9
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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=meditsolutions/SmolLM2-MedIT-Upscale-2B
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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: 2.45
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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=meditsolutions/SmolLM2-MedIT-Upscale-2B
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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: 10.78
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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=meditsolutions/SmolLM2-MedIT-Upscale-2B
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name: Open LLM Leaderboard
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---
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# SmolLM2-MedIT-Upscale-2B
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publisher = {Hugging Face},
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url = {https://huggingface.co/meditsolutions/SmolLM2-MedIT-Upscale-2B},
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}
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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_meditsolutions__SmolLM2-MedIT-Upscale-2B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |15.17|
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|IFEval (0-Shot) |64.29|
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|BBH (3-Shot) |10.51|
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|MATH Lvl 5 (4-Shot)| 1.06|
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|GPQA (0-shot) | 1.90|
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|MuSR (0-shot) | 2.45|
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|MMLU-PRO (5-shot) |10.78|
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