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README.md
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license: apache-2.0
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datasets:
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- nicholasKluge/Pt-Corpus
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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: 64.94
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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=JJhooww/Mistral-7B-v0.2-Base_ptbr
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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: 53.96
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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=JJhooww/Mistral-7B-v0.2-Base_ptbr
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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: 45.42
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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=JJhooww/Mistral-7B-v0.2-Base_ptbr
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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: 90.11
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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=JJhooww/Mistral-7B-v0.2-Base_ptbr
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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: 72.51
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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=JJhooww/Mistral-7B-v0.2-Base_ptbr
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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: 69.04
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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=JJhooww/Mistral-7B-v0.2-Base_ptbr
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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: 79.62
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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=JJhooww/Mistral-7B-v0.2-Base_ptbr
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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: 58.52
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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=JJhooww/Mistral-7B-v0.2-Base_ptbr
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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: 62.32
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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=JJhooww/Mistral-7B-v0.2-Base_ptbr
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name: Open Portuguese LLM Leaderboard
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---
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É um modelo base pré-treinado com cerca de 1b tokens em portugues iniciado com os pesos oficiais do modelo,
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| faquad_nli | 68,11 | 47,63 | 20,48 |
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| hatebr_offensive_binary | 79,65 | 77,63 | 2,02 |
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| oab_exams | 45,42 | 45,24 | 0,18 |
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| portuguese_hate_speech_binary| 59,18 | 55,72 | 3,46 |
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# Open Portuguese LLM Leaderboard Evaluation Results
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Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/JJhooww/Mistral-7B-v0.2-Base_ptbr) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
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|PT Hate Speech Binary | 58.52|
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|tweetSentBR | 62.32|
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---
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license: apache-2.0
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datasets:
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- nicholasKluge/Pt-Corpus
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language:
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- pt
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---
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É um modelo base pré-treinado com cerca de 1b tokens em portugues iniciado com os pesos oficiais do modelo, o modelo não segue instrução então precisa fazer fine tuning.
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| | Mistral Base PTBR | Mistral Base | Melhoria |
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|------------------------------|-------------------|--------------|----------|
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| assin2_rte | 90,11 | 87,74 | 2,37 |
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| assin2_sts | 72,51 | 67,05 | 5,46 |
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| bluex | 53,97 | 53,27 | 0,70 |
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| enem | 64,94 | 62,42 | 2,52 |
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| faquad_nli | 69,04 | 47,63 | 21,41 |
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| hatebr_offensive_binary | 79,62 | 77,63 | 1,99 |
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| oab_exams | 45,42 | 45,24 | 0,18 |
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| portuguese_hate_speech_binary| 58,52 | 55,72 | 2,80 |
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