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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (ac6bc909abd9bda9e29da9d69744dc1ee239e4f8)
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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---
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<div align="center">
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<h1>
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## 🌟 Star History
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-
[![Star History Chart](https://api.star-history.com/svg?repos=HIT-SCIR/Chinese-Mixtral-8x7B&type=Date)](https://star-history.com/#HIT-SCIR/Chinese-Mixtral-8x7B&Date)
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---
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license: apache-2.0
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model-index:
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- name: Chinese-Mixtral-8x7B
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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: 63.57
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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=HIT-SCIR/Chinese-Mixtral-8x7B
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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: 85.98
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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=HIT-SCIR/Chinese-Mixtral-8x7B
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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: 70.95
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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=HIT-SCIR/Chinese-Mixtral-8x7B
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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: 45.86
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HIT-SCIR/Chinese-Mixtral-8x7B
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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: 82.08
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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=HIT-SCIR/Chinese-Mixtral-8x7B
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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: 51.71
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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=HIT-SCIR/Chinese-Mixtral-8x7B
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name: Open LLM Leaderboard
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---
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<div align="center">
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<h1>
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## 🌟 Star History
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+
[![Star History Chart](https://api.star-history.com/svg?repos=HIT-SCIR/Chinese-Mixtral-8x7B&type=Date)](https://star-history.com/#HIT-SCIR/Chinese-Mixtral-8x7B&Date)
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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_HIT-SCIR__Chinese-Mixtral-8x7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |66.69|
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|AI2 Reasoning Challenge (25-Shot)|63.57|
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|HellaSwag (10-Shot) |85.98|
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|MMLU (5-Shot) |70.95|
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|TruthfulQA (0-shot) |45.86|
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|Winogrande (5-shot) |82.08|
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|GSM8k (5-shot) |51.71|
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