leaderboard-pt-pr-bot
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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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license: other
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language:
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- pt
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- en
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---
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**Conheça os nossos outros modelos (bem melhores): [Cabra](https://huggingface.co/collections/botbot-ai/models-6604c2069ceef04f834ba99b)**
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@@ -12,3 +133,20 @@ O Cabra 7b é um qlora finetune do [LLaMA 2 7b Chat](https://huggingface.co/meta
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O modelo precisa de mais treinamento, e pode gerar mentira ou inverdades.
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---
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language:
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- pt
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- en
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license: other
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model-index:
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- name: Cabra
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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: 33.24
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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=nicolasdec/Cabra
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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: 33.38
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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=nicolasdec/Cabra
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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: 32.39
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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=nicolasdec/Cabra
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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: 81.12
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name: f1-macro
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- type: pearson
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value: 29.38
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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=nicolasdec/Cabra
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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: 47.29
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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=nicolasdec/Cabra
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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: 81.71
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name: f1-macro
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- type: f1_macro
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value: 64.84
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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=nicolasdec/Cabra
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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: 50.33
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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=nicolasdec/Cabra
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name: Open Portuguese LLM Leaderboard
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---
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**Conheça os nossos outros modelos (bem melhores): [Cabra](https://huggingface.co/collections/botbot-ai/models-6604c2069ceef04f834ba99b)**
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O modelo precisa de mais treinamento, e pode gerar mentira ou inverdades.
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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/nicolasdec/Cabra)
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| Metric | Value |
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|--------------------------|---------|
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|Average |**50.41**|
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|ENEM Challenge (No Images)| 33.24|
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|BLUEX (No Images) | 33.38|
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|OAB Exams | 32.39|
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|Assin2 RTE | 81.12|
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|Assin2 STS | 29.38|
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|FaQuAD NLI | 47.29|
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|HateBR Binary | 81.71|
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|PT Hate Speech Binary | 64.84|
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|tweetSentBR | 50.33|
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