leaderboard-pt-pr-bot
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Parent(s):
d632a1c
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
CHANGED
@@ -106,6 +106,124 @@ model-index:
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=22h/open-cabrita3b
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name: Open LLM Leaderboard
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---
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The Cabrita model is a collection of continued pre-trained and tokenizer-adapted models for the Portuguese language.
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This artifact is the 3 billion size variant.
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@@ -136,3 +254,20 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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|Winogrande (5-shot) |59.43|
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|GSM8k (5-shot) | 0.99|
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=22h/open-cabrita3b
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name: Open 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: 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: 17.98
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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=22h/open-cabrita3b
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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: 21.14
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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=22h/open-cabrita3b
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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: 22.69
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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=22h/open-cabrita3b
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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: 43.01
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name: f1-macro
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- type: pearson
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value: 8.92
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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=22h/open-cabrita3b
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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: 43.97
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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=22h/open-cabrita3b
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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: 50.46
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name: f1-macro
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- type: f1_macro
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value: 41.19
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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=22h/open-cabrita3b
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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: 47.96
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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=22h/open-cabrita3b
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name: Open Portuguese LLM Leaderboard
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---
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The Cabrita model is a collection of continued pre-trained and tokenizer-adapted models for the Portuguese language.
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This artifact is the 3 billion size variant.
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|Winogrande (5-shot) |59.43|
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|GSM8k (5-shot) | 0.99|
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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/22h/open-cabrita3b)
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| Metric | Value |
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|--------------------------|---------|
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|Average |**33.04**|
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|ENEM Challenge (No Images)| 17.98|
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|BLUEX (No Images) | 21.14|
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|OAB Exams | 22.69|
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|Assin2 RTE | 43.01|
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|Assin2 STS | 8.92|
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|FaQuAD NLI | 43.97|
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|HateBR Binary | 50.46|
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|PT Hate Speech Binary | 41.19|
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|tweetSentBR | 47.96|
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