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Adding Evaluation Results (#4)

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- Adding Evaluation Results (e788ecedadcc6274982bb16d8848d94505737ab2)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +124 -8
README.md CHANGED
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  ---
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- license: mit
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- datasets:
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- - TIGER-Lab/MetricInstruct
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  language:
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  - en
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  - zh
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  - ru
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  - cs
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- metrics:
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- - pearsonr
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- - spearmanr
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- pipeline_tag: text2text-generation
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  tags:
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  - text evaluation
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  - metric
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  - llm metric
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  - llama
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  - tigerscore
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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@@ -201,4 +304,17 @@ If you find our work useful, please cite our paper:
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  journal={arXiv preprint arXiv:2310.00752},
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  year={2023}
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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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  - zh
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  - ru
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  - cs
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+ license: mit
 
 
 
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  tags:
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  - text evaluation
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  - metric
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  - llm metric
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  - llama
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  - tigerscore
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+ datasets:
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+ - TIGER-Lab/MetricInstruct
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+ metrics:
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+ - pearsonr
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+ - spearmanr
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+ pipeline_tag: text2text-generation
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+ model-index:
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+ - name: TIGERScore-13B
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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: 59.04
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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=TIGER-Lab/TIGERScore-13B
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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: 82.79
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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=TIGER-Lab/TIGERScore-13B
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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: 55.07
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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=TIGER-Lab/TIGERScore-13B
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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: 40.38
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TIGER-Lab/TIGERScore-13B
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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: 74.74
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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=TIGER-Lab/TIGERScore-13B
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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: 28.73
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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=TIGER-Lab/TIGERScore-13B
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+ name: Open LLM Leaderboard
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  ---
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  journal={arXiv preprint arXiv:2310.00752},
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  year={2023}
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  }
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+ ```
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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_TIGER-Lab__TIGERScore-13B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |56.79|
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+ |AI2 Reasoning Challenge (25-Shot)|59.04|
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+ |HellaSwag (10-Shot) |82.79|
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+ |MMLU (5-Shot) |55.07|
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+ |TruthfulQA (0-shot) |40.38|
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+ |Winogrande (5-shot) |74.74|
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+ |GSM8k (5-shot) |28.73|
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+