Adding Evaluation Results
#3
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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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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tags:
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- merge
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base_model:
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- teknium/OpenHermes-2.5-Mistral-7B
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- Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
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- mlabonne/NeuralHermes-2.5-Mistral-7B
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---
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# Update 2024-01-03
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@@ -142,4 +245,17 @@ parameters:
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int8_mask: true
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dtype: bfloat16
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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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tags:
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- merge
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base_model:
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- teknium/OpenHermes-2.5-Mistral-7B
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- Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
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- mlabonne/NeuralHermes-2.5-Mistral-7B
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model-index:
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- name: Mistral-7B-Merge-14-v0.3
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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: 65.96
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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=EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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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: 85.29
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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=EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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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: 64.35
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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=EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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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: 57.8
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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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: 78.3
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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=EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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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: 66.26
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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=EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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name: Open LLM Leaderboard
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---
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# Update 2024-01-03
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int8_mask: true
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dtype: bfloat16
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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_EmbeddedLLM__Mistral-7B-Merge-14-v0.3)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |69.66|
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|AI2 Reasoning Challenge (25-Shot)|65.96|
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|HellaSwag (10-Shot) |85.29|
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|MMLU (5-Shot) |64.35|
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|TruthfulQA (0-shot) |57.80|
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|Winogrande (5-shot) |78.30|
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|GSM8k (5-shot) |66.26|
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