eduagarcia
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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 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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-
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datasets:
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- dominguesm/Canarim-Instruct-PTBR-Dataset
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library_name: adapter-transformers
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pipeline_tag: text-generation
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language:
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- pt
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- en
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thumbnail: https://blog.cobasi.com.br/wp-content/uploads/2022/08/AdobeStock_461738919.webp
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---
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<!-- header start -->
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<div style="width: 100%;">
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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---
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language:
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- pt
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- en
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library_name: adapter-transformers
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datasets:
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- dominguesm/Canarim-Instruct-PTBR-Dataset
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pipeline_tag: text-generation
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thumbnail: https://blog.cobasi.com.br/wp-content/uploads/2022/08/AdobeStock_461738919.webp
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model-index:
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- name: Caramelinho
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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: 21.48
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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=Bruno/Caramelinho
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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: 22.11
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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=Bruno/Caramelinho
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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: 25.15
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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=Bruno/Caramelinho
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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: 48.97
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name: f1-macro
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- type: pearson
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value: 19.38
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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=Bruno/Caramelinho
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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: 43.92
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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=Bruno/Caramelinho
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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: 33.97
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name: f1-macro
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- type: f1_macro
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value: 46.57
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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=Bruno/Caramelinho
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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: 56.31
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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=Bruno/Caramelinho
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name: Open Portuguese LLM Leaderboard
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---
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<!-- header start -->
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<div style="width: 100%;">
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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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/Bruno/Caramelinho)
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| Metric | Value |
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|--------------------------|---------|
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|Average |**35.32**|
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|ENEM Challenge (No Images)| 21.48|
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|BLUEX (No Images) | 22.11|
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|OAB Exams | 25.15|
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|Assin2 RTE | 48.97|
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|Assin2 STS | 19.38|
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|FaQuAD NLI | 43.92|
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|HateBR Binary | 33.97|
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|PT Hate Speech Binary | 46.57|
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|tweetSentBR | 56.31|
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