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Adding Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co./spaces/Weyaxi/open-llm-leaderboard-results-pr
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
If you encounter any issues, please report them to https://huggingface.co./spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions
README.md
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---
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license: apache-2.0
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base_model: Intel/neural-chat-7b-v3-1
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tags:
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- LLMs
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- mistral
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- math
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- Intel
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model-index:
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- name: neural-chat-7b-v3-3
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results:
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type: Large Language Model
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name: Large Language Model
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dataset:
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type: meta-math/MetaMathQA
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name: meta-math/MetaMathQA
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metrics:
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- type: ARC (25-shot)
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value: 66.89
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value: 61.11
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name: GSM8K (5-shot)
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verified: true
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---
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## Model Details: Neural-Chat-v3-3
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## Disclaimer
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The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please cosult an attorney before using this model for commercial purposes.
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---
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license: apache-2.0
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tags:
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- LLMs
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- mistral
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- math
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- Intel
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+
base_model: Intel/neural-chat-7b-v3-1
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model-index:
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- name: neural-chat-7b-v3-3
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results:
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type: Large Language Model
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name: Large Language Model
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dataset:
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name: meta-math/MetaMathQA
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type: meta-math/MetaMathQA
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metrics:
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- type: ARC (25-shot)
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value: 66.89
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value: 61.11
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name: GSM8K (5-shot)
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verified: true
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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: 66.89
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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=Intel/neural-chat-7b-v3-3
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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: 85.26
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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=Intel/neural-chat-7b-v3-3
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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: 63.07
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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=Intel/neural-chat-7b-v3-3
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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: 63.01
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Intel/neural-chat-7b-v3-3
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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: 79.64
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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=Intel/neural-chat-7b-v3-3
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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: 61.11
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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=Intel/neural-chat-7b-v3-3
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name: Open LLM Leaderboard
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---
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## Model Details: Neural-Chat-v3-3
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## Disclaimer
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The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please cosult an attorney before using this model for commercial purposes.
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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_Intel__neural-chat-7b-v3-3)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |69.83|
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|AI2 Reasoning Challenge (25-Shot)|66.89|
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|HellaSwag (10-Shot) |85.26|
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|MMLU (5-Shot) |63.07|
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|TruthfulQA (0-shot) |63.01|
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|Winogrande (5-shot) |79.64|
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|GSM8k (5-shot) |61.11|
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