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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library_name: transformers
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base_model: codellama/CodeLlama-7b-Instruct-hf
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license: llama2
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datasets:
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- semantixai/Test-Dataset-Lloro
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language:
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- pt
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tags:
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- code
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- analytics
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- analise-dados
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- portugues-BR
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---
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**Lloro 7B**
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@@ -166,4 +287,20 @@ The following parameters related with the Quantized Low-Rank Adaptation and Qua
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| Datasets | 2.14.3 |
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| Pytorch | 2.0.1 |
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| Tokenizers | 0.14.1 |
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| Transformers | 4.34.0 |
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---
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language:
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- pt
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license: llama2
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library_name: transformers
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tags:
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- code
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- analytics
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- analise-dados
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- portugues-BR
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base_model: codellama/CodeLlama-7b-Instruct-hf
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datasets:
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- semantixai/Test-Dataset-Lloro
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model-index:
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- name: LloroV2
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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: 26.03
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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=semantixai/LloroV2
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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: 29.07
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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=semantixai/LloroV2
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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: 32.53
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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=semantixai/LloroV2
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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: 57.19
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name: f1-macro
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- type: pearson
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value: 26.81
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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=semantixai/LloroV2
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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: 43.77
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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=semantixai/LloroV2
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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: 68.02
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name: f1-macro
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- type: f1_macro
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value: 38.53
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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=semantixai/LloroV2
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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: 35.21
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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=semantixai/LloroV2
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name: Open Portuguese LLM Leaderboard
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---
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**Lloro 7B**
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| Datasets | 2.14.3 |
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| Pytorch | 2.0.1 |
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| Tokenizers | 0.14.1 |
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| Transformers | 4.34.0 |
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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/semantixai/LloroV2)
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| Metric | Value |
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|--------------------------|---------|
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|Average |**39.68**|
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|ENEM Challenge (No Images)| 26.03|
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|BLUEX (No Images) | 29.07|
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|OAB Exams | 32.53|
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|Assin2 RTE | 57.19|
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|Assin2 STS | 26.81|
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|FaQuAD NLI | 43.77|
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|HateBR Binary | 68.02|
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|PT Hate Speech Binary | 38.53|
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|tweetSentBR | 35.21|
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