Adding Evaluation Results
#2
by
leaderboard-pr-bot
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README.md
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---
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license: apache-2.0
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model-index:
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- name: MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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results:
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- type: acc_norm
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value: 64.59
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name: normalized accuracy
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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- type: acc_norm
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value: 85.39
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name: normalized accuracy
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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- type: acc
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value: 64.27
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name: accuracy
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 55.14
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- type: mc2
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value: 55.14
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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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:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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@@ -122,12 +133,12 @@ model-index:
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- type: acc
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value: 71.65
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name: accuracy
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source:
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url:
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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tags:
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- merge
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---
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# MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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- value: 0.5 # fallback for rest of tensors
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dtype: bfloat16
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```
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---
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license: apache-2.0
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+
tags:
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+
- merge
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model-index:
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- name: MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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results:
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- type: acc_norm
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value: 64.59
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name: normalized accuracy
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- type: acc_norm
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value: 64.59
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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=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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- type: acc_norm
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value: 85.39
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name: normalized accuracy
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- type: acc_norm
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value: 85.37
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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=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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- type: acc
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value: 64.27
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name: accuracy
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- type: acc
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value: 64.29
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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=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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value: 55.14
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- type: mc2
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value: 55.14
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- type: mc2
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value: 55.14
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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- type: acc
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value: 79.64
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name: accuracy
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- type: acc
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value: 79.08
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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=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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- type: acc
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value: 71.65
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name: accuracy
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- type: acc
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value: 71.04
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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=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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name: Open LLM Leaderboard
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---
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# MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp
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- value: 0.5 # fallback for rest of tensors
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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_Weyaxi__MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |69.92|
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|AI2 Reasoning Challenge (25-Shot)|64.59|
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|HellaSwag (10-Shot) |85.37|
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|MMLU (5-Shot) |64.29|
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|TruthfulQA (0-shot) |55.14|
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|Winogrande (5-shot) |79.08|
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|GSM8k (5-shot) |71.04|
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