Adding Evaluation Results
#4
by
leaderboard-pr-bot
- opened
README.md
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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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- 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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| 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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