leaderboard-pt-pr-bot
commited on
Adding the Open Portuguese LLM Leaderboard Evaluation Results
Browse filesThis is an automated PR created with https://huggingface.co/spaces/eduagarcia-temp/portuguese-leaderboard-results-to-modelcard
The purpose of this PR is to add evaluation results from the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard) to your model card.
If you encounter any issues, please report them to https://huggingface.co/spaces/eduagarcia-temp/portuguese-leaderboard-results-to-modelcard/discussions
README.md
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---
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-
license: apache-2.0
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language:
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- de
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- en
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- ru
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- ar
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- es
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tags:
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- spectrum
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---
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![SauerkrautLM-Nemo-12b-Instruct]( https://vago-solutions.ai/wp-content/uploads/2024/07/Sauerkraut-Nemo.png "SauerkrautLM-Nemo-12b-Instruct")
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We are also keenly seeking support and investment for our startup, VAGO solutions where we continuously advance the development of robust language models designed to address a diverse range of purposes and requirements. If the prospect of collaboratively navigating future challenges excites you, we warmly invite you to reach out to us at [VAGO solutions](https://vago-solutions.ai)
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## Acknowledgement
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-
Many thanks to [Mistral AI](https://huggingface.co/mistralai) for providing such a valuable model to the Open-Source community.
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---
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language:
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- de
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- en
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- ru
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- ar
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- es
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license: apache-2.0
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tags:
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- spectrum
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model-index:
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- name: SauerkrautLM-Nemo-12b-Instruct
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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: ENEM Challenge (No Images)
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type: eduagarcia/enem_challenge
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split: train
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args:
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num_few_shot: 3
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metrics:
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- type: acc
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value: 70.05
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name: accuracy
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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name: Open Portuguese 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: BLUEX (No Images)
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type: eduagarcia-temp/BLUEX_without_images
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split: train
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args:
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num_few_shot: 3
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metrics:
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- type: acc
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value: 58.41
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name: accuracy
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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name: Open Portuguese 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: OAB Exams
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type: eduagarcia/oab_exams
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split: train
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args:
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num_few_shot: 3
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metrics:
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- type: acc
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value: 52.53
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name: accuracy
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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name: Open Portuguese 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: Assin2 RTE
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type: assin2
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split: test
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args:
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num_few_shot: 15
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metrics:
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- type: f1_macro
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value: 92.65
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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name: Open Portuguese 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: Assin2 STS
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type: eduagarcia/portuguese_benchmark
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split: test
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args:
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num_few_shot: 15
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metrics:
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- type: pearson
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value: 75.99
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name: pearson
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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name: Open Portuguese 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: FaQuAD NLI
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type: ruanchaves/faquad-nli
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split: test
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args:
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num_few_shot: 15
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metrics:
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- type: f1_macro
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value: 83.18
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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name: Open Portuguese 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: HateBR Binary
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type: ruanchaves/hatebr
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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: f1_macro
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value: 81.98
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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name: Open Portuguese 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: PT Hate Speech Binary
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type: hate_speech_portuguese
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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: f1_macro
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value: 75.67
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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name: Open Portuguese 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: tweetSentBR
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type: eduagarcia/tweetsentbr_fewshot
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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: f1_macro
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value: 72.31
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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name: Open Portuguese LLM Leaderboard
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---
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![SauerkrautLM-Nemo-12b-Instruct]( https://vago-solutions.ai/wp-content/uploads/2024/07/Sauerkraut-Nemo.png "SauerkrautLM-Nemo-12b-Instruct")
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We are also keenly seeking support and investment for our startup, VAGO solutions where we continuously advance the development of robust language models designed to address a diverse range of purposes and requirements. If the prospect of collaboratively navigating future challenges excites you, we warmly invite you to reach out to us at [VAGO solutions](https://vago-solutions.ai)
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## Acknowledgement
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Many thanks to [Mistral AI](https://huggingface.co/mistralai) for providing such a valuable model to the Open-Source community.
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# Open Portuguese LLM Leaderboard Evaluation Results
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Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
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| Metric | Value |
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|--------------------------|---------|
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|Average |**73.64**|
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|ENEM Challenge (No Images)| 70.05|
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|BLUEX (No Images) | 58.41|
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|OAB Exams | 52.53|
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|Assin2 RTE | 92.65|
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|Assin2 STS | 75.99|
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|FaQuAD NLI | 83.18|
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|HateBR Binary | 81.98|
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|PT Hate Speech Binary | 75.67|
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|tweetSentBR | 72.31|
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