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Adding the Open Portuguese LLM Leaderboard Evaluation Results (#1)
Browse files- Adding the Open Portuguese LLM Leaderboard Evaluation Results (8d4398eedaf63572e58c90a94906d9dfbcd73fd6)
Co-authored-by: Open PT LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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library_name: peft
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---
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## Training procedure
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@@ -22,3 +169,22 @@ The following `bitsandbytes` quantization config was used during training:
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- PEFT 0.5.0
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---
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library_name: peft
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model-index:
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- name: gembode-7b-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: 49.34
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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-7b-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: 36.58
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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-7b-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: 34.76
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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-7b-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: 79.09
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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-7b-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 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: 64.95
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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-7b-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: 64.67
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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=recogna-nlp/gembode-7b-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: 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: 86.27
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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-7b-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: 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: 63.61
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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-7b-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/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: 66.17
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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-7b-it
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name: Open Portuguese LLM Leaderboard
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---
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## Training procedure
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- PEFT 0.5.0
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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/recogna-nlp/gembode-7b-it) 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 |**60.6**|
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|ENEM Challenge (No Images)| 49.34|
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|BLUEX (No Images) | 36.58|
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|OAB Exams | 34.76|
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|Assin2 RTE | 79.09|
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|Assin2 STS | 64.95|
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|FaQuAD NLI | 64.67|
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|HateBR Binary | 86.27|
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|PT Hate Speech Binary | 63.61|
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|tweetSentBR | 66.17|
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