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Hermes-low-tune-2

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Adding Evaluation Results (#1)

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- Adding Evaluation Results (eec78d472596aae8ab5283c5d79da3e698bd7060)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  1. README.md +121 -5
README.md CHANGED
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  ---
 
 
 
 
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  base_model:
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  - simonveitner/Math-OpenHermes-2.5-Mistral-7B
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  - mlabonne/NeuralHermes-2.5-Mistral-7B-laser
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  - openaccess-ai-collective/dpopenhermes-alpha-v0
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  - teknium/OpenHermes-2.5-Mistral-7B
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  - mlabonne/NeuralHermes-2.5-Mistral-7B
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- tags:
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- - mergekit
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- - merge
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # merged
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@@ -55,4 +158,17 @@ slices:
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  model: mlabonne/NeuralHermes-2.5-Mistral-7B-laser
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  parameters:
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  weight: 0.25
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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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+ - mergekit
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+ - merge
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  base_model:
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  - simonveitner/Math-OpenHermes-2.5-Mistral-7B
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  - mlabonne/NeuralHermes-2.5-Mistral-7B-laser
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  - openaccess-ai-collective/dpopenhermes-alpha-v0
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  - teknium/OpenHermes-2.5-Mistral-7B
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  - mlabonne/NeuralHermes-2.5-Mistral-7B
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+ model-index:
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+ - name: Hermes-low-tune-2
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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: 65.61
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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=nlpguy/Hermes-low-tune-2
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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: 84.47
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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=nlpguy/Hermes-low-tune-2
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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: 63.69
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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=nlpguy/Hermes-low-tune-2
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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: 53.18
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nlpguy/Hermes-low-tune-2
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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: 77.74
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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=nlpguy/Hermes-low-tune-2
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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: 63.53
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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=nlpguy/Hermes-low-tune-2
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+ name: Open LLM Leaderboard
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  ---
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  # merged
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  model: mlabonne/NeuralHermes-2.5-Mistral-7B-laser
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  parameters:
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  weight: 0.25
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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_nlpguy__Hermes-low-tune-2)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |68.04|
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+ |AI2 Reasoning Challenge (25-Shot)|65.61|
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+ |HellaSwag (10-Shot) |84.47|
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+ |MMLU (5-Shot) |63.69|
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+ |TruthfulQA (0-shot) |53.18|
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+ |Winogrande (5-shot) |77.74|
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+ |GSM8k (5-shot) |63.53|
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+