Adding the Open Portuguese LLM Leaderboard Evaluation Results
#1
by
leaderboard-pt-pr-bot
- opened
README.md
CHANGED
@@ -1,5 +1,152 @@
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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: mistralbode_7b_qlora_ultraalpaca
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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: 56.82
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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/mistralbode_7b_qlora_ultraalpaca
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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: 47.15
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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=recogna-nlp/mistralbode_7b_qlora_ultraalpaca
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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: 36.31
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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/mistralbode_7b_qlora_ultraalpaca
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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: 88.92
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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=recogna-nlp/mistralbode_7b_qlora_ultraalpaca
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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: 76.37
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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/mistralbode_7b_qlora_ultraalpaca
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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: 67.17
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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/mistralbode_7b_qlora_ultraalpaca
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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: 82.02
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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/mistralbode_7b_qlora_ultraalpaca
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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: 69.24
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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/mistralbode_7b_qlora_ultraalpaca
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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: 48.14
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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/mistralbode_7b_qlora_ultraalpaca
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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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+
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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/mistralbode_7b_qlora_ultraalpaca) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
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| Metric | Value |
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|--------------------------|---------|
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|Average |**63.57**|
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|ENEM Challenge (No Images)| 56.82|
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|BLUEX (No Images) | 47.15|
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|OAB Exams | 36.31|
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|Assin2 RTE | 88.92|
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|Assin2 STS | 76.37|
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|FaQuAD NLI | 67.17|
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|HateBR Binary | 82.02|
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|PT Hate Speech Binary | 69.24|
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|tweetSentBR | 48.14|
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