Adding Evaluation Results
#5
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -24,6 +24,109 @@ prompt_template: 'Below is an instruction that describes a task. Write a respons
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'
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quantized_by: TheBloke
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---
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<!-- header start -->
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@@ -330,3 +433,17 @@ The training data primarily targets the knowledge level of medical students,
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which may result in limitations when addressing the needs of board-certified physicians.
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The model has not been tested in real-world applications, so its efficacy and accuracy are currently unknown.
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It should never be used as a substitute for a doctor's opinion and must be treated as a research tool only.
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'
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quantized_by: TheBloke
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model-index:
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- name: medalpaca-13B-GPTQ-4bit
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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: 29.35
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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/medalpaca-13B-GPTQ-4bit
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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: 26.32
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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/medalpaca-13B-GPTQ-4bit
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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: 25.44
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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/medalpaca-13B-GPTQ-4bit
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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: 49.51
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheBloke/medalpaca-13B-GPTQ-4bit
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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: 53.12
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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=TheBloke/medalpaca-13B-GPTQ-4bit
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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: 0.0
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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/medalpaca-13B-GPTQ-4bit
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name: Open LLM Leaderboard
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---
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<!-- header start -->
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which may result in limitations when addressing the needs of board-certified physicians.
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The model has not been tested in real-world applications, so its efficacy and accuracy are currently unknown.
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It should never be used as a substitute for a doctor's opinion and must be treated as a research tool only.
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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__medalpaca-13B-GPTQ-4bit)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |30.62|
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|AI2 Reasoning Challenge (25-Shot)|29.35|
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|HellaSwag (10-Shot) |26.32|
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|MMLU (5-Shot) |25.44|
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|TruthfulQA (0-shot) |49.51|
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|Winogrande (5-shot) |53.12|
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|GSM8k (5-shot) | 0.00|
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