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Adding Evaluation Results

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This 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

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  1. README.md +158 -46
README.md CHANGED
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  ---
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- base_model: vihangd/shearedplats-2.7b-v2
 
 
 
 
 
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  datasets:
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  - mwitiderrick/OpenPlatypus
 
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  inference: true
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  model_type: llama
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- prompt_template: |
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- ### Instruction:\n
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  {prompt}
 
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  ### Response:
 
 
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  created_by: mwitiderrick
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- tags:
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- - transformers
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- license: apache-2.0
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- language:
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- - en
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- library_name: transformers
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  pipeline_tag: text-generation
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-
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  model-index:
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- - name: mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1
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- results:
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- - task:
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- type: text-generation
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- dataset:
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- name: hellaswag
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- type: hellaswag
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- metrics:
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- - name: hellaswag(0-Shot)
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- type: hellaswag (0-Shot)
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- value: 0.5283
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- - task:
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- type: text-generation
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- dataset:
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- name: winogrande
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- type: winogrande
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- metrics:
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- - name: winogrande(0-Shot)
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- type: winogrande (0-Shot)
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- value: 0.6464
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-
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- - task:
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- type: text-generation
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- dataset:
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- name: arc_challenge
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- type: arc_challenge
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- metrics:
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- - name: arc_challenge(0-Shot)
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- type: arc_challenge (0-Shot)
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- value: 0.3652
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- source:
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- name: shearedplats-2.7b-v2-instruct-v0.1 model card
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- url: https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1
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-
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # ShearedPlats-7b Instruct
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@@ -138,4 +237,17 @@ Enjoy your sweet chicken buggers!
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  |-------------|-------|------|-----:|--------|-----:|---|-----:|
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  |arc_challenge|Yaml |none | 0|acc |0.3652|± |0.0141|
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  | | |none | 0|acc_norm|0.3908|± |0.0143|
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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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+ library_name: transformers
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+ tags:
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+ - transformers
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  datasets:
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  - mwitiderrick/OpenPlatypus
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+ base_model: vihangd/shearedplats-2.7b-v2
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  inference: true
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  model_type: llama
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+ prompt_template: '### Instruction:\n
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+
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  {prompt}
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+
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  ### Response:
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+
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+ '
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  created_by: mwitiderrick
 
 
 
 
 
 
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  pipeline_tag: text-generation
 
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  model-index:
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+ - name: mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1
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+ results:
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: hellaswag
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+ type: hellaswag
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+ metrics:
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+ - type: hellaswag (0-Shot)
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+ value: 0.5283
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+ name: hellaswag(0-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: winogrande
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+ type: winogrande
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+ metrics:
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+ - type: winogrande (0-Shot)
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+ value: 0.6464
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+ name: winogrande(0-Shot)
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: arc_challenge
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+ type: arc_challenge
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+ metrics:
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+ - type: arc_challenge (0-Shot)
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+ value: 0.3652
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+ name: arc_challenge(0-Shot)
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+ source:
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+ url: https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1
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+ name: shearedplats-2.7b-v2-instruct-v0.1 model card
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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: 40.19
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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=mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1
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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: 70.08
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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=mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1
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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: 28.12
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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=mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1
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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: 41.23
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1
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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: 65.04
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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=mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1
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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: 2.12
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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=mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1
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+ name: Open LLM Leaderboard
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  ---
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  # ShearedPlats-7b Instruct
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  |-------------|-------|------|-----:|--------|-----:|---|-----:|
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  |arc_challenge|Yaml |none | 0|acc |0.3652|± |0.0141|
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  | | |none | 0|acc_norm|0.3908|± |0.0143|
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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_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |41.13|
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+ |AI2 Reasoning Challenge (25-Shot)|40.19|
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+ |HellaSwag (10-Shot) |70.08|
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+ |MMLU (5-Shot) |28.12|
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+ |TruthfulQA (0-shot) |41.23|
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+ |Winogrande (5-shot) |65.04|
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+ |GSM8k (5-shot) | 2.12|
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+