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Adding the Open Portuguese LLM Leaderboard Evaluation Results (#1)
Browse files- Adding the Open Portuguese LLM Leaderboard Evaluation Results (9caf5756b1d8b0ad117a7d25a51d870eef6ddbaa)
Co-authored-by: Open PT LLM Leaderboard PR Bot <leaderboard-pt-pr-bot@users.noreply.huggingface.co>
README.md
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---
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license: mit
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language:
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- pt
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- en
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-
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-
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- f1
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- precision
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- recall
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pipeline_tag: text-generation
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tags:
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- LLM
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- Portuguese
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- Alpaca
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- Llama 2
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- Q&A
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-
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inference: false
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---
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# BODE
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@@ -147,4 +268,20 @@ Contribuições para a melhoria deste modelo são bem-vindas. Sinta-se à vontad
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## Agradecimentos
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-
Agradecemos ao Laboratório Nacional de Computação Científica (LNCC/MCTI, Brasil) por prover os recursos de CAD do supercomputador SDumont.
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---
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language:
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- pt
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- en
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license: mit
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library_name: peft
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tags:
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- LLM
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- Portuguese
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- Alpaca
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- Llama 2
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- Q&A
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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pipeline_tag: text-generation
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inference: false
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model-index:
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- name: bode-13b-alpaca-pt-br
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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: 33.66
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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=recogna-nlp/bode-13b-alpaca-pt-br
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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: 38.25
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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=recogna-nlp/bode-13b-alpaca-pt-br
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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: 36.04
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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=recogna-nlp/bode-13b-alpaca-pt-br
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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: 71.22
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name: f1-macro
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- type: pearson
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value: 46.75
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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=recogna-nlp/bode-13b-alpaca-pt-br
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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: 51.68
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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=recogna-nlp/bode-13b-alpaca-pt-br
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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: eduagarcia/portuguese_benchmark
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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: 82.21
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name: f1-macro
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- type: f1_macro
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value: 65.54
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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=recogna-nlp/bode-13b-alpaca-pt-br
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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-temp/tweetsentbr
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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: 47.55
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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=recogna-nlp/bode-13b-alpaca-pt-br
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name: Open Portuguese LLM Leaderboard
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---
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# BODE
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## Agradecimentos
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Agradecemos ao Laboratório Nacional de Computação Científica (LNCC/MCTI, Brasil) por prover os recursos de CAD do supercomputador SDumont.
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# [Open Portuguese LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/recogna-nlp/bode-13b-alpaca-pt-br)
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| Metric | Value |
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|Average |**52.54**|
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|ENEM Challenge (No Images)| 33.66|
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|BLUEX (No Images) | 38.25|
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|OAB Exams | 36.04|
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|Assin2 RTE | 71.22|
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|Assin2 STS | 46.75|
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|FaQuAD NLI | 51.68|
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|HateBR Binary | 82.21|
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|PT Hate Speech Binary | 65.54|
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|tweetSentBR | 47.55|
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