Adding the Open Portuguese LLM Leaderboard Evaluation Results

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  1. README.md +141 -4
README.md CHANGED
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  ---
 
 
 
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  library_name: peft
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  tags:
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  - Gemma
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  - Portuguese
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  - Bode
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  - Alpaca
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- license: mit
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- language:
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- - pt
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  metrics:
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  - accuracy
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  - precision
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  - f1
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  - recall
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # GemBode-2b-it
@@ -110,4 +231,20 @@ Se você deseja utilizar o GemBode-2b-it em sua pesquisa, cite-o da seguinte man
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  doi = { 10.57967/hf/1879 },
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  publisher = { Hugging Face }
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  }
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - pt
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+ license: mit
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  library_name: peft
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  tags:
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  - Gemma
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  - Portuguese
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  - Bode
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  - Alpaca
 
 
 
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  metrics:
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  - accuracy
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  - precision
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  - f1
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  - recall
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+ model-index:
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+ - name: GemBode-2b-it
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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: 21.62
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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/GemBode-2b-it
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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: 25.45
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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/GemBode-2b-it
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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: 27.33
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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/GemBode-2b-it
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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: 53.1
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+ name: f1-macro
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+ - type: pearson
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+ value: 15.57
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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/GemBode-2b-it
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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: 53.05
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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/GemBode-2b-it
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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: 66.89
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+ name: f1-macro
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+ - type: f1_macro
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+ value: 24.22
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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/GemBode-2b-it
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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: 37.47
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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/GemBode-2b-it
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+ name: Open Portuguese LLM Leaderboard
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  ---
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  # GemBode-2b-it
 
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  doi = { 10.57967/hf/1879 },
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  publisher = { Hugging Face }
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  }
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+ ```
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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/GemBode-2b-it)
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+
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+ | Metric | Value |
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+ |--------------------------|---------|
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+ |Average |**36.08**|
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+ |ENEM Challenge (No Images)| 21.62|
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+ |BLUEX (No Images) | 25.45|
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+ |OAB Exams | 27.33|
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+ |Assin2 RTE | 53.10|
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+ |Assin2 STS | 15.57|
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+ |FaQuAD NLI | 53.05|
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+ |HateBR Binary | 66.89|
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+ |PT Hate Speech Binary | 24.22|
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+ |tweetSentBR | 37.47|
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+