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Adding Evaluation Results (#3)
Browse files- Adding Evaluation Results (b570767b61691b2d33d974e54f576c6dfc07d079)
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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language:
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- en
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-
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tags:
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- llama
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- open-llama
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- mpt
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- model-fusion
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- fusellm
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-
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---
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<p align="center" width="100%">
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</p>
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@@ -375,4 +478,17 @@ If you find this work is relevant with your research or applications, please fee
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year={2024},
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url={https://openreview.net/pdf?id=jiDsk12qcz}
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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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library_name: transformers
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tags:
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- llama
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- open-llama
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- mpt
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- model-fusion
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- fusellm
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pipeline_tag: text-generation
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model-index:
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- name: FuseLLM-7B
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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: 53.24
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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=Wanfq/FuseLLM-7B
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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: 78.72
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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=Wanfq/FuseLLM-7B
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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: 47.93
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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=Wanfq/FuseLLM-7B
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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: 38.17
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Wanfq/FuseLLM-7B
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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: 74.03
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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=Wanfq/FuseLLM-7B
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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: 14.33
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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=Wanfq/FuseLLM-7B
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name: Open LLM Leaderboard
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---
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<p align="center" width="100%">
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</p>
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year={2024},
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url={https://openreview.net/pdf?id=jiDsk12qcz}
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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_Wanfq__FuseLLM-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |51.07|
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|AI2 Reasoning Challenge (25-Shot)|53.24|
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|HellaSwag (10-Shot) |78.72|
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|MMLU (5-Shot) |47.93|
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|TruthfulQA (0-shot) |38.17|
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|Winogrande (5-shot) |74.03|
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|GSM8k (5-shot) |14.33|
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