leaderboard-pr-bot
commited on
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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tags:
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- llm
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- llama
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- spellcheck
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- grammar
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-
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---
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<!-- header start -->
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@@ -136,4 +239,17 @@ After probably 10 different versions with subsequent changes, I can now say that
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The goal was to create a model that wouldn't change the style of the text. Often, LLM models, when asked to edit text, will attempt to rewrite the text even if the text is already fine. This proved to be quite challenging for such a small model where the main task was to determine the right balance between fixing the text (and not changing its style) and copying it verbatim.
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-
The strict model assumes that you're already a good writer that doesn't need hand-holding and that every word you've written you've meant.
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---
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license: llama2
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tags:
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- llm
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- llama
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- spellcheck
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- grammar
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model-index:
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- name: Karen_TheEditor_V2_STRICT_Mistral_7B
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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: 59.56
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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=FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B
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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: 81.79
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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=FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B
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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: 59.56
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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=FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B
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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: 49.36
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B
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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: 74.35
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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=FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B
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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: 30.17
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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=FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B
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name: Open LLM Leaderboard
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---
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<!-- header start -->
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The goal was to create a model that wouldn't change the style of the text. Often, LLM models, when asked to edit text, will attempt to rewrite the text even if the text is already fine. This proved to be quite challenging for such a small model where the main task was to determine the right balance between fixing the text (and not changing its style) and copying it verbatim.
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The strict model assumes that you're already a good writer that doesn't need hand-holding and that every word you've written you've meant.
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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_FPHam__Karen_TheEditor_V2_STRICT_Mistral_7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |59.13|
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|AI2 Reasoning Challenge (25-Shot)|59.56|
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|HellaSwag (10-Shot) |81.79|
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|MMLU (5-Shot) |59.56|
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|TruthfulQA (0-shot) |49.36|
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|Winogrande (5-shot) |74.35|
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|GSM8k (5-shot) |30.17|
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