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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (b764a9d7dce8b587af0c5acf01e18af359075d2b)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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tags:
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- merge
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- mergekit
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- lazymergekit
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base_model:
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- cognitivecomputations/dolphin-llama2-7b
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- Tensoic/Llama-2-openhermes
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license: llama2
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datasets:
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- teknium/openhermes
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- cognitivecomputations/dolphin
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-
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pipeline_tag: text-generation
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---
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# OpenDolphinHermes_Llama2_7B
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Examples of large language models include GPT-2, BERT, and T5.
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```
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## Thanks
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-
Thanks to Google Colab for the compute.
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---
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language:
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- en
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license: llama2
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library_name: transformers
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tags:
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- merge
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- mergekit
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- lazymergekit
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datasets:
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- teknium/openhermes
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- cognitivecomputations/dolphin
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base_model:
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- cognitivecomputations/dolphin-llama2-7b
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- Tensoic/Llama-2-openhermes
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pipeline_tag: text-generation
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model-index:
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- name: OpenDolphinHermes_Llama2_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: 55.03
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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=sethuiyer/OpenDolphinHermes_Llama2_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: 78.74
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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=sethuiyer/OpenDolphinHermes_Llama2_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: 52.25
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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=sethuiyer/OpenDolphinHermes_Llama2_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: 46.1
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/OpenDolphinHermes_Llama2_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: 73.16
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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=sethuiyer/OpenDolphinHermes_Llama2_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: 20.17
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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=sethuiyer/OpenDolphinHermes_Llama2_7B
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name: Open LLM Leaderboard
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---
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# OpenDolphinHermes_Llama2_7B
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Examples of large language models include GPT-2, BERT, and T5.
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```
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## Thanks
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Thanks to Google Colab for the compute.
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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_sethuiyer__OpenDolphinHermes_Llama2_7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |54.24|
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|AI2 Reasoning Challenge (25-Shot)|55.03|
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|HellaSwag (10-Shot) |78.74|
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|MMLU (5-Shot) |52.25|
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|TruthfulQA (0-shot) |46.10|
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|Winogrande (5-shot) |73.16|
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|GSM8k (5-shot) |20.17|
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