Adding Evaluation Results (#3)
Browse files- Adding Evaluation Results (2fc53064d12866b21985ac00ac5ec1de93469a29)
Co-authored-by: HelpingAI <Abhaykoul@users.noreply.huggingface.co>
README.md
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---
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license: apache-2.0
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datasets:
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- fka/awesome-chatgpt-prompts
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- DIBT/10k_prompts_ranked
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language:
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- en
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- hi
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metrics:
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- bleu
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tags:
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- code
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pipeline_tag: text-generation
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---
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# Model Card for Model ID
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@@ -98,4 +201,16 @@ Healthcare Assistants: Adapt the model for use in healthcare applications, where
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Educational Tools: Incorporate the model into educational applications to create interactive tutoring systems, virtual classroom assistants, and language practice tools that engage students in conversational learning experiences.
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Note:
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-
This AI model marks my first deployment on the Hugging Face platform. I am grateful for the invaluable assistance provided by Vortex Bahi throughout the development and deployment process. Their guidance and support have been instrumental in bringing this project to fruition.
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| 1 |
---
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language:
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+
- en
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+
- hi
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license: apache-2.0
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tags:
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+
- code
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datasets:
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- fka/awesome-chatgpt-prompts
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- DIBT/10k_prompts_ranked
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metrics:
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- bleu
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pipeline_tag: text-generation
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model-index:
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- name: JARVIS
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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: 32.08
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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=VAIBHAV22334455/JARVIS
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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: 56.86
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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=VAIBHAV22334455/JARVIS
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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: 27.15
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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=VAIBHAV22334455/JARVIS
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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: 37.33
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=VAIBHAV22334455/JARVIS
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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: 60.14
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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=VAIBHAV22334455/JARVIS
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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: 1.14
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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=VAIBHAV22334455/JARVIS
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name: Open LLM Leaderboard
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---
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# Model Card for Model ID
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|
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Educational Tools: Incorporate the model into educational applications to create interactive tutoring systems, virtual classroom assistants, and language practice tools that engage students in conversational learning experiences.
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Note:
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This AI model marks my first deployment on the Hugging Face platform. I am grateful for the invaluable assistance provided by Vortex Bahi throughout the development and deployment process. Their guidance and support have been instrumental in bringing this project to fruition.
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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_VAIBHAV22334455__JARVIS)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |35.78|
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|AI2 Reasoning Challenge (25-Shot)|32.08|
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|HellaSwag (10-Shot) |56.86|
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|MMLU (5-Shot) |27.15|
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|TruthfulQA (0-shot) |37.33|
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|Winogrande (5-shot) |60.14|
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|GSM8k (5-shot) | 1.14|
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