Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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base_model: microsoft/Orca-2-13b
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inference: false
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license: other
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model_creator: Microsoft
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model_name: Orca 2 13B
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model_type: llama
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pipeline_tag: text-generation
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prompt_template: '<|im_start|>system
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@@ -18,10 +22,109 @@ prompt_template: '<|im_start|>system
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'
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quantized_by: TheBloke
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---
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<!-- markdownlint-disable MD041 -->
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@@ -613,3 +716,17 @@ print(final_output)
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primaryClass={cs.AI}
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}
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```
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---
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license: other
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tags:
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- orca
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- orca2
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- microsoft
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model_name: Orca 2 13B
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base_model: microsoft/Orca-2-13b
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inference: false
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model_creator: Microsoft
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model_type: llama
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pipeline_tag: text-generation
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prompt_template: '<|im_start|>system
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'
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quantized_by: TheBloke
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model-index:
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- name: Orca-2-13B-GPTQ
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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: 59.81
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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=TheBloke/Orca-2-13B-GPTQ
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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: 79.12
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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=TheBloke/Orca-2-13B-GPTQ
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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: 59.35
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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=TheBloke/Orca-2-13B-GPTQ
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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: 55.14
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheBloke/Orca-2-13B-GPTQ
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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: 76.64
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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=TheBloke/Orca-2-13B-GPTQ
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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: 15.54
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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=TheBloke/Orca-2-13B-GPTQ
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name: Open LLM Leaderboard
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---
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<!-- markdownlint-disable MD041 -->
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primaryClass={cs.AI}
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}
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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_TheBloke__Orca-2-13B-GPTQ)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |57.60|
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|AI2 Reasoning Challenge (25-Shot)|59.81|
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|HellaSwag (10-Shot) |79.12|
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|MMLU (5-Shot) |59.35|
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|TruthfulQA (0-shot) |55.14|
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|Winogrande (5-shot) |76.64|
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|GSM8k (5-shot) |15.54|
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