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Adding the Open Portuguese LLM Leaderboard Evaluation Results (#1)

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- Adding the Open Portuguese LLM Leaderboard Evaluation Results (6b565c67530c6bf64f95c253491fb63f20077c20)


Co-authored-by: Open PT LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +167 -1
README.md CHANGED
@@ -10,6 +10,153 @@ datasets:
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  - cnmoro/smoltalk-555k-ptbr
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  - cnmoro/RagMixPTBR-Legal-Alpaca-2M
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  - cnmoro/LogicReasoningEnglishPortuguese
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Qwen2.5-0.5B finetuned for proficiency in Portuguese language and increased intelligence, as well as supporting reasoning (can be toggled on or off)
@@ -135,4 +282,23 @@ response
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  # - Dificuldade em entender e interpretar a própria consciência
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  # À medida que a tecnologia LLM continua a evoluir, podemos esperar vê-la utilizada em vários setores e áreas, desde educação até finanças.
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - cnmoro/smoltalk-555k-ptbr
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  - cnmoro/RagMixPTBR-Legal-Alpaca-2M
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  - cnmoro/LogicReasoningEnglishPortuguese
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+ model-index:
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+ - name: Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning
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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: 32.54
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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=cnmoro/Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning
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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: 31.43
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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=cnmoro/Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning
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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: 28.61
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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=cnmoro/Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning
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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: 82.67
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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=cnmoro/Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning
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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: 47.25
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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=cnmoro/Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning
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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: 63.32
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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=cnmoro/Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning
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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: 36.54
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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=cnmoro/Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning
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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: 51.58
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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=cnmoro/Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning
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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: 48.25
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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=cnmoro/Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning
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+ name: Open Portuguese LLM Leaderboard
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  ---
161
 
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  Qwen2.5-0.5B finetuned for proficiency in Portuguese language and increased intelligence, as well as supporting reasoning (can be toggled on or off)
 
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  # - Dificuldade em entender e interpretar a própria consciência
283
 
284
  # À medida que a tecnologia LLM continua a evoluir, podemos esperar vê-la utilizada em vários setores e áreas, desde educação até finanças.
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+ ```
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+
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+
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+ # Open Portuguese LLM Leaderboard Evaluation Results
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+
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+ Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/cnmoro/Qwen2.5-0.5B-Portuguese-Hybrid-Reasoning) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
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+
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+ | Metric | Value |
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+ |--------------------------|---------|
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+ |Average |**46.91**|
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+ |ENEM Challenge (No Images)| 32.54|
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+ |BLUEX (No Images) | 31.43|
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+ |OAB Exams | 28.61|
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+ |Assin2 RTE | 82.67|
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+ |Assin2 STS | 47.25|
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+ |FaQuAD NLI | 63.32|
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+ |HateBR Binary | 36.54|
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+ |PT Hate Speech Binary | 51.58|
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+ |tweetSentBR | 48.25|
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+